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and its value can be affected by various factors&#44; such as the light source&#44; the increments used&#44; the area irradiated&#44; previous exposure to UV radiation&#44; the definition of the MED&#44; skin temperature&#44; and intraobserver and interobserver variability&#46;<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">2</span></a> Differences in ethnicity also affect variability in the detection of the MED&#59; therefore&#44; measurement must be validated for the specific population&#46;</p><p id="par0015" class="elsevierStylePara elsevierViewall">Potential sensitivity to UV radiation can be evaluated using indirect methods without having to measure the MED&#46; The most widely used is the Fitzpatrick skin type scale&#44;<a class="elsevierStyleCrossRef" href="#bib0180"><span class="elsevierStyleSup">5</span></a> although the reliability and validity of this system have been called into question&#44; mainly because it is subjective and prone to recall bias&#46;<a class="elsevierStyleCrossRefs" href="#bib0165"><span class="elsevierStyleSup">2&#44;6&#44;7</span></a> Nevertheless&#44; S&#225;nchez et al&#46;<a class="elsevierStyleCrossRef" href="#bib0195"><span class="elsevierStyleSup">8</span></a> suggest that the scale can prove to be reliable insofar as the evaluation method of this approach can be standardized&#46;</p><p id="par0020" class="elsevierStylePara elsevierViewall">In several countries&#44; the MED has been determined taking into account the skin type&#44; and some studies have shown that there is no favorable correlation between these variables&#46;<a class="elsevierStyleCrossRefs" href="#bib0185"><span class="elsevierStyleSup">6&#44;9&#8211;12</span></a> In Colombia&#44; the only published study was performed in schoolchildren and did not find a correlation between MED for UV-B and phototype&#46;<a class="elsevierStyleCrossRef" href="#bib0215"><span class="elsevierStyleSup">12</span></a></p><p id="par0025" class="elsevierStylePara elsevierViewall">Cutaneous erythema has been assessed more objectively using various instruments&#44; including the tristimulus colorimeter &#40;chromameter&#41; and the narrowband simple reflectance spectrophotometer &#40;Mexameter MX 18&#41;&#44; which correlate well with the visual evaluation&#46;<a class="elsevierStyleCrossRefs" href="#bib0220"><span class="elsevierStyleSup">13&#44;14</span></a></p><p id="par0030" class="elsevierStylePara elsevierViewall">The objective of the present study was to determine the MED for UV-A<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>UV-B&#44; UV-A&#44; and narrowband UV-B in a group of Columbian individuals with different skin types&#44; the degree of correlation between MED and the skin types&#44; and the degree of concordance and correlation between the 2 assessment methods &#40;visual assessment and Mexameter MX 18&#41;&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Methods</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Design&#44; Population&#44; and Sample</span><p id="par0035" class="elsevierStylePara elsevierViewall">We performed a cross-sectional study to evaluate the sensitivity of the skin to UV radiation in terms of the MED value in a sample of Colombian patients and determined the concordance and correlation for 2 methods of measuring MED&#44; namely&#44; visual assessment and Mexameter MX 18 &#40;Courage Khazaka Electronic&#41;&#46; The Mexameter MX 18 device is a spectrophotometer that measures absorption of light on 2 wavelengths&#44; 568<span class="elsevierStyleHsp" style=""></span>nm for hemoglobin and 660<span class="elsevierStyleHsp" style=""></span>nm for melanin&#44; yielding an erythema index and a melanin index&#46; We used a sequential convenience sample of healthy individuals aged &#62;18 years who were seen at Hospital Universitario Centro Dermatol&#243;gico Federico Lleras Acosta&#44; Bogot&#225;&#44; Colombia and gave their consent to participate in the study&#46; We excluded patients who had taken systemic photosensitizing medication during the 2 months before initiation of the study&#44; topical corticosteroids during the previous 8 days&#44; and those who had taken oral antihistamines during the previous 2 days&#46; We also excluded patients with a personal or family history of photosensitivity&#44; those whose backs had been exposed to natural or artificial solar radiation during the 6 weeks before the study&#44; and foreigners and children of foreign parents&#46;</p><p id="par0040" class="elsevierStylePara elsevierViewall">The sample size was calculated using the formula proposed for estimation of concordance and correlation in cross-sectional studies&#44; which is based on ordinal and continuous data&#44;<a class="elsevierStyleCrossRef" href="#bib0230"><span class="elsevierStyleSup">15</span></a> taking into account an alfa of &#46;05&#44; an expected accuracy of 10&#37;&#44; and a correlation coefficient of 0&#46;8 &#40;according to a pilot study developed by the researchers&#41;&#46; Based on the above&#44; we calculated a sample size of 75 persons for determination of the MED for UV-A&#44; UV-A<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>UV-B&#44; and narrowband UV-B and for evaluation of the 2 techniques for measuring MED&#46; All study procedures were approved by our institutional review board and were consistent with the recommendations of the Declaration of Helsinki&#46;</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Procedure for Evaluating MED</span><p id="par0045" class="elsevierStylePara elsevierViewall">Each participant was evaluated using the Fitzpatrick skin type scale&#46;<a class="elsevierStyleCrossRef" href="#bib0180"><span class="elsevierStyleSup">5</span></a> The skin on the back was then irradiated with 20&#37; increases in the dose of UV-A<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>UV-B &#40;skin types I&#8211;II&#44; 15&#8211;43<span class="elsevierStyleHsp" style=""></span>mJ&#47;cm<span class="elsevierStyleSup">2</span>&#59; and skin types III&#8211;IV&#44; 30&#8211;72<span class="elsevierStyleHsp" style=""></span>mJ&#47;cm<span class="elsevierStyleSup">2</span>&#41;&#44; UV-A &#40;skin types I&#8211;II&#44; 20&#8211;50<span class="elsevierStyleHsp" style=""></span>J&#47;cm<span class="elsevierStyleSup">2</span>&#59; and skin types III&#8211;IV&#44; 42&#8211;100<span class="elsevierStyleHsp" style=""></span>J&#47;cm<span class="elsevierStyleSup">2</span>&#41;&#44; and narrowband UV-B &#40;skin types I&#8211;II&#44; 50&#8211;550<span class="elsevierStyleHsp" style=""></span>mJ&#47;cm<span class="elsevierStyleSup">2</span>&#59; and skin types III&#8211;IV&#44; 100&#8211;970<span class="elsevierStyleHsp" style=""></span>mJ&#47;cm<span class="elsevierStyleSup">2</span>&#41;&#46; UV-A<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>UV-B and UV-A were administered using a 300-mw solar simulator &#40;Model 601 Multiport&#44; Solar Light&#41;&#44; which has 6 liquid light guides measuring 9<span class="elsevierStyleHsp" style=""></span>mm each&#46; Narrowband UV-B was administered using a phototherapy cabin &#40;Daavlin&#44; 305&#47;350&#41;&#44; with a potency of 4&#46;3<span class="elsevierStyleHsp" style=""></span>mW&#47;cm<span class="elsevierStyleSup">2</span> at a distance of 15<span class="elsevierStyleHsp" style=""></span>cm after placing a 4-layer white plastic mold with 8 fields&#44; each measuring 1<span class="elsevierStyleHsp" style=""></span>cm<span class="elsevierStyleSup">2</span>&#44; on the skin of the back&#46; The rest of the body surface and the face were covered with a thick material that did not allow UV radiation to penetrate&#44; and the participant wore photoprotective eyewear&#46; The radiation doses were measured using a PMA-2100 dosimeter and its respective detectors &#40;SUV PMA2103 and UVA PMA2113&#41; in the case of the solar simulator &#40;calibrated by Solar Light&#41; and with an IL-1700 radiometer and its detector for narrowband UV-B &#40;International Light&#41; in the case of the phototherapy cabin&#46;</p><p id="par0050" class="elsevierStylePara elsevierViewall">MED was read at 24<span class="elsevierStyleHsp" style=""></span>hours after irradiation&#44; taking into account the lowest dose of radiation with which minimum perceptible erythema was achieved&#46; The readings &#40;visual and Mexameter MX 18&#41; were taken by 2 trained observers&#46; In the case of Mexameter MX 18&#44; a total of 3 readings were taken by pressing the handheld unit against the nonradiated skin&#44; and 3 readings were taken for each irradiated field&#59; an average was then calculated&#46; If erythema was not achieved&#44; the procedure was repeated with geometrically increasing doses&#46; The MED value taken using the Mexameter MX 18 was determined by a physicist and corresponded to the dose with which the maximum slope on the dose-response curve was obtained for each individual&#44; based on a previously published method&#46;<a class="elsevierStyleCrossRef" href="#bib0235"><span class="elsevierStyleSup">16</span></a> The maximum UV-A dose administered with the solar simulator was 100<span class="elsevierStyleHsp" style=""></span>J&#47;cm<span class="elsevierStyleSup">2</span>&#59; for purposes of the analysis&#44; persons for whom no erythema was achieved with this dose were arbitrarily assigned an MED value of 120<span class="elsevierStyleHsp" style=""></span>mJ&#47;cm<span class="elsevierStyleSup">2</span>&#46;</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Statistical Analysis</span><p id="par0055" class="elsevierStylePara elsevierViewall">A descriptive analysis was performed for each of the variables using the most appropriate summary statistics&#46; Categorical variables were presented as frequency tables with absolute and relative values &#40;sex and skin type&#41;&#46; Given that the data were nonnormally distributed for MED &#40;UV-A<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>UV-B&#44; UV-A&#44; and narrowband UV-B&#44; visual and Mexameter MX 18 measurements&#41;&#44; the variables were expressed as median &#40;interquartile range &#91;IQR&#93;&#41;&#46; The correlation between the skin type and the MED value&#44; in all its different modalities&#44; was evaluated using the Spearman correlation coefficient&#44; with its respective 95&#37; CI and <span class="elsevierStyleItalic">P</span> value&#46; Furthermore&#44; in order to evaluate the degree of concordance and correlation between the different MED values&#44; we used the Lin concordance correlation coefficient&#44; which was reported with its 95&#37; CI and <span class="elsevierStyleItalic">P</span> value&#46; The analysis was performed using Stata 14&#46;</p></span></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Results</span><p id="par0060" class="elsevierStylePara elsevierViewall">The study population comprised 113 participants with a median age of 27 &#40;18&#8211;56&#41; years&#59; of these&#44; 66&#37; were women&#46; No participants had skin types V or VI&#46; <a class="elsevierStyleCrossRef" href="#fig0005">Fig&#46; 1</a> shows the total number of individuals and their distribution by skin type&#46; MED was evaluated for UV-A<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>UV-B and narrowband UV-B in 111 participants and for UV-A alone in 91 owing to difficulties in remaining for the time necessary to undergo the test&#46; Erythema was not observed at the maximum dose of UV-A administered &#40;100<span class="elsevierStyleHsp" style=""></span>J&#47;cm<span class="elsevierStyleSup">2</span>&#41; in 21 of the 91 cases &#40;3 were skin type II&#44; 7 skin type III&#44; and 11 skin type IV&#41;&#44; and in 14 participants&#44; Mexameter MX 18 did not detect erythema &#40;1 was skin type II&#44; 7 skin type III&#44; and 6 skin type IV&#41;&#46; <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a> and <a class="elsevierStyleCrossRef" href="#fig0010">Fig&#46; 2</a>A&#8211;C show the median &#40;IQR&#41; MED by skin type and assessment method&#46;</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><elsevierMultimedia ident="fig0010"></elsevierMultimedia><p id="par0065" class="elsevierStylePara elsevierViewall">In order to compare our findings with the literature on this subject&#44; we calculated the mean MED assessed visually&#44; even though the sample was not normally distributed &#40;<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Correlation Between Phototypes and MED</span><p id="par0070" class="elsevierStylePara elsevierViewall">We evaluated the correlation between skin types and each of the MED values &#40;UV-A<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>UV-B&#44; UV-A&#44; narrowband UV-B&#41;&#44; both visually and with the Mexameter MX 18&#46; The correlation observed ranged from 0&#46;5 to 0&#46;69&#46; The lowest correlations were recorded for narrowband UV-B&#44; both visually and with Mexameter MX 18 &#40;0&#46;5 and 0&#46;53&#44; respectively&#41;&#46; <a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a> shows the correlation coefficient obtained for each value with its <span class="elsevierStyleItalic">P</span> value&#46;</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Concordance Correlation Between MED Assessed Visually and by Mexameter MX 18</span><p id="par0075" class="elsevierStylePara elsevierViewall">The degree of concordance and correlation for each MED value was calculated according to whether it was assessed visually or using Mexameter MX 18&#46; The Lin concordance correlation coefficient was greater than 0&#46;8 in all cases &#40;<a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a> and <a class="elsevierStyleCrossRef" href="#fig0010">Fig&#46; 2</a>D&#8211;F&#41;&#46;</p><elsevierMultimedia ident="tbl0020"></elsevierMultimedia></span></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Discussion</span><p id="par0080" class="elsevierStylePara elsevierViewall">In this study&#44; we determined the MED for UV-A&#44; narrowband UV-B&#44; and UV-A<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>UV-B in a sample of the Colombian population&#46; Investigations based on a solar simulator revealed that the mean MED of UV-A<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>UV-B for the different skin types varies&#59; however&#44; the values for skin types I to IV in this study population were similar to those reported by P&#233;rez-Ferriols et al&#46;<a class="elsevierStyleCrossRef" href="#bib0240"><span class="elsevierStyleSup">17</span></a> in Spain&#44; probably owing to the fact that our population comprises people of Spanish descent as a result of genetic admixture&#46;<a class="elsevierStyleCrossRef" href="#bib0245"><span class="elsevierStyleSup">18</span></a> In a study carried out in India&#44; the mean MED value for skin type IV was similar to the results for this skin type in Spain and in the present study&#46;<a class="elsevierStyleCrossRef" href="#bib0250"><span class="elsevierStyleSup">19</span></a> For skin type III&#44; the mean MED was similar in Australian Asians&#44;<a class="elsevierStyleCrossRef" href="#bib0255"><span class="elsevierStyleSup">20</span></a> Spaniards&#44;<a class="elsevierStyleCrossRef" href="#bib0240"><span class="elsevierStyleSup">17</span></a> and Colombians&#46; In China&#44; the mean MED values by skin type are much higher&#44;<a class="elsevierStyleCrossRef" href="#bib0260"><span class="elsevierStyleSup">21</span></a> probably because the study was based on buttock skin&#44; which is less sensitive than that of the back&#44;<a class="elsevierStyleCrossRefs" href="#bib0200"><span class="elsevierStyleSup">9&#44;22</span></a> and to genetic differences &#40;<a class="elsevierStyleCrossRef" href="#tbl0025">Table 5</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0025"></elsevierMultimedia><p id="par0085" class="elsevierStylePara elsevierViewall">The mean MED value for skin types I&#8211;IV in studies carried out with other sources of UV-B &#40;fluorescent UV-B lamps&#41; in Brazil&#44;<a class="elsevierStyleCrossRef" href="#bib0210"><span class="elsevierStyleSup">11</span></a> in the USA&#44;<a class="elsevierStyleCrossRef" href="#bib0270"><span class="elsevierStyleSup">23</span></a> and for some skin types in the UK<a class="elsevierStyleCrossRef" href="#bib0200"><span class="elsevierStyleSup">9</span></a> is similar to that of our population for UV-A<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>UV-B&#46; In contrast&#44; mean MED values in Korea&#44;<a class="elsevierStyleCrossRef" href="#bib0185"><span class="elsevierStyleSup">6</span></a> and more particularly&#44; Singapore&#44;<a class="elsevierStyleCrossRef" href="#bib0275"><span class="elsevierStyleSup">24</span></a> are much higher for the same skin types &#40;<a class="elsevierStyleCrossRef" href="#tbl0030">Table 6</a>&#41;&#46; These differences could be explained by genetic variability and because the skin irradiated in Singapore was on the buttocks&#46;</p><elsevierMultimedia ident="tbl0030"></elsevierMultimedia><p id="par0090" class="elsevierStylePara elsevierViewall">If we compare the results of the present study with those reported from Medellin&#44; Colombia&#44;<a class="elsevierStyleCrossRef" href="#bib0215"><span class="elsevierStyleSup">12</span></a> we see that in the latter the mean MED value by skin type was higher&#44; probably because the definition of MED used was the minimum dose that led to erythema with well-defined borders&#46;</p><p id="par0095" class="elsevierStylePara elsevierViewall">Our literature review revealed few publications on MED values for UV-A&#44; perhaps because of the difficulty obtaining a UV radiation source that emitted high doses of UV-A over short periods&#46; The median MED values for UV-A in the present study&#44; with the ranges obtained by Fitzpatrick&#44;<a class="elsevierStyleCrossRef" href="#bib0180"><span class="elsevierStyleSup">5</span></a> are similar for types I &#40;22 vs 20&#8211;35<span class="elsevierStyleHsp" style=""></span>J&#47;cm<span class="elsevierStyleSup">2</span>&#41; and II &#40;42 vs 30&#8211;35<span class="elsevierStyleHsp" style=""></span>J&#47;cm<span class="elsevierStyleSup">2</span>&#41;&#44; although they are higher for types III &#40;86 vs 40&#8211;55<span class="elsevierStyleHsp" style=""></span>J&#47;cm<span class="elsevierStyleSup">2</span>&#41; and IV &#40;100 vs 50&#8211;80<span class="elsevierStyleHsp" style=""></span>J&#47;cm<span class="elsevierStyleSup">2</span>&#41;&#46;</p><p id="par0100" class="elsevierStylePara elsevierViewall">As for narrowband UV-B&#44; the mean values for the Spanish population<a class="elsevierStyleCrossRef" href="#bib0240"><span class="elsevierStyleSup">17</span></a> &#40;obtained by applying a conversion factor to the MED results for UV-B&#41; are similar to those of the present study for all skin types&#46; In Detroit&#44; USA&#44; Carretero-Mangolis and Lim<a class="elsevierStyleCrossRef" href="#bib0280"><span class="elsevierStyleSup">25</span></a> reported that the median MED was 600<span class="elsevierStyleHsp" style=""></span>mJ&#47;cm<span class="elsevierStyleSup">2</span> for skin types I-II and 700<span class="elsevierStyleHsp" style=""></span>mJ&#47;cm<span class="elsevierStyleSup">2</span> for skin types III-IV&#59; both of these values are similar to those reported in the present study&#44; that is&#44; 550 and 770<span class="elsevierStyleHsp" style=""></span>mJ&#47;cm<span class="elsevierStyleSup">2</span>&#44; respectively&#46; In 352 patients with psoriasis in the UK&#44; the median MED values by skin type were lower&#58; 200&#44; 280&#44; 390&#44; and 550<span class="elsevierStyleHsp" style=""></span>mJ&#47;cm<span class="elsevierStyleSup">2</span> &#40;skin types I&#8211;IV&#44; respectively&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0285"><span class="elsevierStyleSup">26</span></a></p><p id="par0105" class="elsevierStylePara elsevierViewall">Consistent with reports from other authors&#44;<a class="elsevierStyleCrossRefs" href="#bib0165"><span class="elsevierStyleSup">2&#44;11&#44;12&#44;24</span></a> we found that MED tended to increase with the skin type&#46; However&#44; the Fitzpatrick skin-type scale is not sufficient to distinguish well between values&#46; In fact&#44; MED values for UV-A<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>UV-B&#44; UV-A&#44; and narrowband UV-B overlap in different skin types&#44; so that 2 people could have the same MED value but belong to different skin types&#46;<a class="elsevierStyleCrossRefs" href="#bib0165"><span class="elsevierStyleSup">2&#44;6&#44;25&#44;27&#44;28</span></a></p><p id="par0110" class="elsevierStylePara elsevierViewall">Some authors report no correlation between MED and skin type&#44;<a class="elsevierStyleCrossRefs" href="#bib0185"><span class="elsevierStyleSup">6&#44;9&#44;12&#44;29</span></a> whereas others do&#46;<a class="elsevierStyleCrossRefs" href="#bib0210"><span class="elsevierStyleSup">11&#44;24&#44;30&#44;31</span></a> After exploring this association&#44; the present study found a correlation that can be classed as good for UV-A and UV-A<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>UV-B and moderate for narrowband UV-B&#46;</p><p id="par0115" class="elsevierStylePara elsevierViewall">The concordance correlation coefficient for MED assessed visually and using Mexameter MX 18 was very good for UV-A<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>UV-B&#44; UV-A&#44; and narrowband UV-B&#44; as shown elsewhere&#46;<a class="elsevierStyleCrossRefs" href="#bib0220"><span class="elsevierStyleSup">13&#44;14</span></a> Taking these results into account&#44; both forms of measurement are interchangeable&#59; consequently&#44; visual determination continues to be useful in clinical practice&#46;</p><p id="par0120" class="elsevierStylePara elsevierViewall">The limitations of the present study are its small sample size&#44; especially in the case of skin type I&#44; and the fact that the sample is not representative of the whole Colombian population&#44; since we were unable to include individuals with skin types V and VI&#44; who live in other geographic areas of the country&#46; Furthermore&#44; some individuals did not develop erythema at the maximum dose of UV-A administered &#40;100<span class="elsevierStyleHsp" style=""></span>mJ&#47;cm<span class="elsevierStyleSup">2</span>&#41;&#44; sofor the data analysis&#44; we assumed an MED value of 120<span class="elsevierStyleHsp" style=""></span>J&#47;cm<span class="elsevierStyleSup">2</span>&#44; which may not correspond to the real MED of these subjects&#46;</p></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Conclusion</span><p id="par0125" class="elsevierStylePara elsevierViewall">In this study&#44; where MED was determined for UV-A<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>UV-B&#44; UVA&#44; and narrowband UV-B in a group of Colombians with skin types I&#8211;IV&#44; we found that MED values overlapped for different skin types&#46; We also recorded a moderate to good correlation with the skin types and a good correlation between visual measurements and those obtained using an objective method &#40;i&#46;e&#46;&#44; Mexameter MX 18&#41;&#46;</p></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">Funding</span><p id="par0130" class="elsevierStylePara elsevierViewall">This study was funded by Hospital Universitario Centro Dermatol&#243;gico Federico Lleras Acosta&#44; Bogot&#225;&#44; Colombia&#46;</p></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0125">Conflicts of Interest</span><p id="par0135" class="elsevierStylePara elsevierViewall">The authors declare that they have no conflicts of interest&#46;</p></span></span>"
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      "en" => array:3 [
        "titulo" => "Abstract"
        "resumen" => "<span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Background and objective</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">The minimal erythema dose &#40;MED&#41;&#44; an essential measurement in studies of skin photosensitivity&#44; requires establishing MED values for specific populations&#44; given genetic variation&#46; Different ways to assess erythema are also relevant&#46; We aimed to determine MED values in a sample of Colombian patients and correlations between MED and Fitzpatrick skin type&#46; We also studied concordance correlation between MEDs and two alternative ways to assess erythema&#46;</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Patients and methods</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Cross-sectional study of 113 individuals in Bogot&#225;&#44; Colombia&#46; We used a solar simulator to measure UV-A radiation and combined UV-A and UV-B &#40;UVA<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>UVB&#41; radiation&#44; for MED calculation&#46; Narrowband UV-B &#40;NBUVB&#41; radiation was measured in a phototherapy cabin&#46; Erythema was assessed visually and with a Mexameter MX 18 device&#46;</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Results</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">The median MEDs of UVA<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>UVB radiation were 22<span class="elsevierStyleHsp" style=""></span>mJ&#47;cm<span class="elsevierStyleSup">2</span> for Fitzpatrick skin types I and II&#44; and 33 and 43<span class="elsevierStyleHsp" style=""></span>mJ&#47;cm<span class="elsevierStyleSup">2</span>&#44; respectively&#44; for skin types III and IV&#46; The MEDs of UV-A radiation were 22&#44; 42&#44; 86&#44; and 100<span class="elsevierStyleHsp" style=""></span>J&#47;cm<span class="elsevierStyleSup">2</span> for skin types I&#44; II&#44; III&#44; and IV&#44; respectively&#46; The MEDs of NBUVB radiation were 390&#44; 550&#44; 770&#44; and 885<span class="elsevierStyleHsp" style=""></span>mJ&#47;cm<span class="elsevierStyleSup">2</span> for the 4 skin types&#46; The correlation between MEDs and skin types ranged from 0&#46;5 to 0&#46;69&#46; Lin&#39;s concordance correlation coefficients between visual and Mexameter assessments of erythema were greater than 0&#46;8 in all cases&#46;</p></span> <span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0030">Conclusion</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">This study allowed us to understand MED values for UV-A&#44; UVA<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>UVB&#44; and NBUVB according to different skin types in the Colombian population&#46; Concordance correlation coefficients between the different methods of erythema assessment were very good&#46; Correlations between MEDs and skin types were moderate to good&#46;</p></span>"
        "secciones" => array:4 [
          0 => array:2 [
            "identificador" => "abst0010"
            "titulo" => "Background and objective"
          ]
          1 => array:2 [
            "identificador" => "abst0015"
            "titulo" => "Patients and methods"
          ]
          2 => array:2 [
            "identificador" => "abst0020"
            "titulo" => "Results"
          ]
          3 => array:2 [
            "identificador" => "abst0025"
            "titulo" => "Conclusion"
          ]
        ]
      ]
      "es" => array:3 [
        "titulo" => "Resumen"
        "resumen" => "<span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Antecedentes y objetivo</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">La determinaci&#243;n de la dosis eritematosa m&#237;nima &#40;DEM&#41; es necesaria para el estudio de la fotosensibilidad cut&#225;nea&#44; debe determinarse en cada poblaci&#243;n&#44; dadas las diferencias gen&#233;ticas y las metodolog&#237;as utilizadas&#46; El objetivo de este estudio fue determinar la DEM en poblaci&#243;n colombiana&#44; su correlaci&#243;n con los fototipos y la concordancia de dos alternativas de medici&#243;n&#46;</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Pacientes y m&#233;todos</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Estudio de corte trasversal que incluy&#243; 113 personas en Bogot&#225; &#40;Colombia&#41;&#46; Se determin&#243; la DEM para UVA<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>UVB y UVA utilizando un simulador solar y para UVB de banda estrecha &#40;UVBBE&#41; con una cabina de fototerapia&#46; La evaluaci&#243;n se realiz&#243; visualmente y por Mexameter MX&#174;-18&#46;</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Resultados</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">La mediana de la DEM para UVA<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>UVB fue de 22<span class="elsevierStyleHsp" style=""></span>mJ&#47;cm<span class="elsevierStyleSup">2</span> para fototipos I y II y de 33 y 43<span class="elsevierStyleHsp" style=""></span>mJ&#47;cm<span class="elsevierStyleSup">2</span> para fototipos<span class="elsevierStyleHsp" style=""></span>III y IV&#44; respectivamente&#59; para UVA fue de 22&#44; 42&#44; 86 y 100<span class="elsevierStyleHsp" style=""></span>J&#47;cm<span class="elsevierStyleSup">2</span> y para UVBBE de 390&#44; 550&#44; 770 y 885<span class="elsevierStyleHsp" style=""></span>mJ&#47;cm<span class="elsevierStyleSup">2</span> &#40;fototipos I-IV&#44; respectivamente&#41;&#46; La correlaci&#243;n entre los fototipos y la DEM oscil&#243; entre 0&#44;5 y 0&#44;69&#46; El nivel de correlaci&#243;n-concordancia de LIN entre el m&#233;todo visual y el Mexameter fue superior a 0&#44;8 en todos los casos&#46;</p></span> <span id="abst0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0055">Conclusiones</span><p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Este estudio permiti&#243; conocer los valores de DEM para UVA<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>UVB&#44; UVA y UVBBE para los diferentes fototipos en la poblaci&#243;n colombiana&#44; y evidenci&#243; una correlaci&#243;n muy buena entre los m&#233;todos de medici&#243;n evaluados y una correlaci&#243;n moderada a buena entre la DEM y los fototipos&#46;</p></span>"
        "secciones" => array:4 [
          0 => array:2 [
            "identificador" => "abst0030"
            "titulo" => "Antecedentes y objetivo"
          ]
          1 => array:2 [
            "identificador" => "abst0035"
            "titulo" => "Pacientes y m&#233;todos"
          ]
          2 => array:2 [
            "identificador" => "abst0040"
            "titulo" => "Resultados"
          ]
          3 => array:2 [
            "identificador" => "abst0045"
            "titulo" => "Conclusiones"
          ]
        ]
      ]
    ]
    "NotaPie" => array:1 [
      0 => array:2 [
        "etiqueta" => "&#9734;"
        "nota" => "<p class="elsevierStyleNotepara" id="npar0005">Please cite this article as&#58; Valbuena MC&#44; Nova Villanueva JA&#44; S&#225;nchez Vanegas G&#46; Dosis eritematosa m&#237;nima&#58; correlaci&#243;n con el fototipo y m&#233;todo de medici&#243;n en una muestra de poblaci&#243;n colombiana&#46; Actas Dermosifiliogr&#46; 2020&#59;111&#58;390&#8211;397&#46;</p>"
      ]
    ]
    "multimedia" => array:9 [
      0 => array:7 [
        "identificador" => "fig0005"
        "etiqueta" => "Figure 1"
        "tipo" => "MULTIMEDIAFIGURA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "figura" => array:1 [
          0 => array:4 [
            "imagen" => "gr1.jpeg"
            "Alto" => 1693
            "Ancho" => 1507
            "Tamanyo" => 117108
          ]
        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Study Population&#46; NBUVB indicates narrowband UV-B&#46;</p>"
        ]
      ]
      1 => array:7 [
        "identificador" => "fig0010"
        "etiqueta" => "Figure 2"
        "tipo" => "MULTIMEDIAFIGURA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "figura" => array:1 [
          0 => array:4 [
            "imagen" => "gr2.jpeg"
            "Alto" => 2554
            "Ancho" => 2341
            "Tamanyo" => 350112
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        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">A&#8211;C&#44; Box and whisker plots for UV-A<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>UV-B &#40;MEDTOT&#41;&#44; UV-A&#44; and narrowband UV-B &#40;NBUVB&#41; for the MED values measured visually and using Mexameter MX 18 for skin types 1 to 4&#46; Note the progressive increase in the median value&#44; especially from skin type 2 to skin type 4&#46; D&#8211;F&#44; Diagrams showing the concordance-correlation coefficient between the visual measurement and measurement by Mexameter MX 18&#46; Note the good correlation for the different wavelengths&#46; MED indicates minimum erythema dose&#59; NBUVB&#44; narrowband UV-B&#46;</p>"
        ]
      ]
      2 => array:8 [
        "identificador" => "tbl0005"
        "etiqueta" => "Table 1"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "detalles" => array:1 [
          0 => array:3 [
            "identificador" => "at1"
            "detalle" => "Table "
            "rol" => "short"
          ]
        ]
        "tabla" => array:2 [
          "leyenda" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Abbreviations&#58; IQR&#44; interquartile range&#59; MEX&#44; Mexameter MX 18&#59; VIS&#44; visual&#46;</p>"
          "tablatextoimagen" => array:1 [
            0 => array:2 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col">Type of Radiation&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " colspan="2" align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Skin Type I</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " colspan="2" align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Skin Type II</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " colspan="2" align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Skin Type III</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " colspan="2" align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Skin Type IV</th></tr><tr title="table-row"><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">MedianVIS&#47;MEX&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">IQRVIS&#47;MEX&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">MedianVIS&#47;MEX&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">IQRVIS&#47;MEX&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">MedianVIS&#47;MEX&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">IQRVIS&#47;MEX&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">MedianVIS&#47;MEX&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">IQRVIS&#47;MEX&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">UV-A<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>UV-B&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">22&#47;27&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">15&#47;12&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">22&#47;22&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">12&#47;12&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">33&#47;30&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">13&#47;6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">43&#47;43&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">26&#47;26&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">UV-A&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">22&#47;24&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6&#46;5&#47;8&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">42&#47;42&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">21&#47;18&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">86&#47;60&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">70&#47;36&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">100&#47;100&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">48&#47;48&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Narrowband UV-B&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">390&#47;390&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">160&#47;0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">550&#47;550&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">380&#47;160&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">770&#47;590&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">420&#47;220&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">885&#47;770&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">330&#47;470&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
              "imagenFichero" => array:1 [
                0 => "xTab2443819.png"
              ]
            ]
          ]
        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Skin Types and MED &#40;UV-A<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>UV-B&#44; UV-A&#44; and Narrowband UV-B&#41; Assessed Visually and by Mexameter&#46;</p>"
        ]
      ]
      3 => array:8 [
        "identificador" => "tbl0010"
        "etiqueta" => "Table 2"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "detalles" => array:1 [
          0 => array:3 [
            "identificador" => "at2"
            "detalle" => "Table "
            "rol" => "short"
          ]
        ]
        "tabla" => array:1 [
          "tablatextoimagen" => array:1 [
            0 => array:2 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col">Type of Radiation&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " colspan="2" align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Skin Type I</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " colspan="2" align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Skin Type II</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " colspan="2" align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Skin Type III</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " colspan="2" align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Skin Type IV</th></tr><tr title="table-row"><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Mean&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">SD&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Mean&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">SD&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Mean&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">SD&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Mean&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">SD&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">UV-A<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>UV-B&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">22&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">7&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">24&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">11&#46;4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">36&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">10&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">48&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">14&#46;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">UV-A&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">21&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">4&#46;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">44&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">27&#46;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">81&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">31&#46;4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">95&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">26&#46;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Narrowband UV-B&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">498&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">167&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">593&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">225&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">765&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">205&#46;6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">946&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">275&#46;7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
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                0 => "xTab2443817.png"
              ]
            ]
          ]
        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">Skin Types and Mean MED &#40;UV-A<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>UV-B&#44; UV-A&#44; and Narrowband UV-B&#41; Assessed Visually&#46;</p>"
        ]
      ]
      4 => array:8 [
        "identificador" => "tbl0015"
        "etiqueta" => "Table 3"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
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          0 => array:3 [
            "identificador" => "at3"
            "detalle" => "Table "
            "rol" => "short"
          ]
        ]
        "tabla" => array:2 [
          "leyenda" => "<p id="spar0080" class="elsevierStyleSimplePara elsevierViewall">Abbreviations&#58; MED&#44; minimum erythemal dose&#59; MEX&#44; Mexameter MX 18&#59; VIS&#44; visual assessment&#46;</p>"
          "tablatextoimagen" => array:1 [
            0 => array:2 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Spearman&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">P</span> value&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t">MED UV-A VIS&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">0&#46;64&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&#60;&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">MED UV-A MEX&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;69&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">MED narrowband UV-B VIS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;50&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">MED narrowband UV-B MEX&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;53&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">MED UV-A<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>UV-B VIS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;66&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">MED UV-A<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>UV-B MEX&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">&#60;&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Type of Radiation&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">0&#46;85&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#46;92&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">&#60;&#46;001&nbsp;\t\t\t\t\t\t\n
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                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td-with-role" title="\n
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                  \t\t\t\t\ttable-head\n
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                  \t\t\t\t\ttable-head\n
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                  \t\t\t\t" scope="col">Irradiated Skin&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">mJ&#47;cm<span class="elsevierStyleSup">2</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">SD&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">India<a class="elsevierStyleCrossRef" href="#bib0255"><span class="elsevierStyleSup">20</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">IV&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">41&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">51&#46;2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">5&#46;88&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Back&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " rowspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">China<a class="elsevierStyleCrossRef" href="#bib0260"><span class="elsevierStyleSup">21</span></a></td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">II&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " rowspan="3" align="left" valign="\n
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                  \t\t\t\t">NR</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">64&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">22&#46;2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " rowspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">III&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">66&#46;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">17&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">IV&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">77&#46;4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">17&#46;4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " rowspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Australian Asians<a class="elsevierStyleCrossRef" href="#bib0255"><span class="elsevierStyleSup">20</span></a></td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">II&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">39&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " rowspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">NR</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " rowspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Back</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">III&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">17&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">37&#46;6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">IV&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">11&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">61&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " rowspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Spain<a class="elsevierStyleCrossRef" href="#bib0240"><span class="elsevierStyleSup">17</span></a></td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">I&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">23&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">8&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " rowspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Back or buttocks</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">II&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">89&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">28&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">III&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">108&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">35&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">IV&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">31&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">51&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " rowspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Colombia &#40;present study&#41;</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">I&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">22&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">7&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " rowspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Back</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">II&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">41&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">24&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">11&#46;4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">III&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">48&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">36&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">10&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">IV&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">49&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">14&#46;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
              "imagenFichero" => array:1 [
                0 => "xTab2443816.png"
              ]
            ]
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        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0090" class="elsevierStyleSimplePara elsevierViewall">Mean MED Values &#40;UV-A<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>UV-B&#41; in Studies Performed With a Solar Simulator&#46;</p>"
        ]
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      7 => array:8 [
        "identificador" => "tbl0030"
        "etiqueta" => "Table 6"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "detalles" => array:1 [
          0 => array:3 [
            "identificador" => "at6"
            "detalle" => "Table "
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        ]
        "tabla" => array:1 [
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            0 => array:2 [
              "tabla" => array:1 [
                0 => """
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                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td-with-role" title="\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t" scope="col">Country&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t" scope="col">Skin Type&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t" scope="col">No&#46;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " colspan="2" align="center" valign="\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">MED UV-B</th><th class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col">Site Irradiated&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">mJ&#47;cm<span class="elsevierStyleSup">2</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">SD&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " rowspan="4" align="left" valign="\n
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                  \t\t\t\t">Korea<a class="elsevierStyleCrossRef" href="#bib0185"><span class="elsevierStyleSup">6</span></a></td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">I&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">10&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">59&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">17&#46;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " rowspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Back</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">II&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">72&#46;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">11&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">III&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">46&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">72&#46;4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">31&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">IV&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">34&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">69&#46;4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">30&#46;8&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " rowspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Singapore<a class="elsevierStyleCrossRef" href="#bib0275"><span class="elsevierStyleSup">24</span></a></td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">II&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">79&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">27&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " rowspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Buttocks</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">III&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">36&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">108&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">43&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">IV&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">32&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">163&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">50&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " rowspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">United Kingdom<a class="elsevierStyleCrossRef" href="#bib0200"><span class="elsevierStyleSup">9</span></a></td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">I&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">7&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">30&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">15&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " rowspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Back</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">II&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">11&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">25&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">10&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">III&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">12&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">21&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">IV&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">49&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " rowspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">United States of America<a class="elsevierStyleCrossRef" href="#bib0270"><span class="elsevierStyleSup">23</span></a></td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">I&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">39&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">29&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">11&#46;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " rowspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Buttocks</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">II&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">163&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">36&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">12&#46;8&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">III&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">146&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">43&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">17&#46;6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">IV&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">58&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">58&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">23&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " rowspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Brazil<a class="elsevierStyleCrossRef" href="#bib0210"><span class="elsevierStyleSup">11</span></a></td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">I&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">30&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">14&#46;8&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " rowspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Infraaxillary</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">II&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">35&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">26&#46;8&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">5&#46;8&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">III&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">35&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">30&#46;8&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">5&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">IV&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">31&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">41&#46;7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">8&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " rowspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Colombia<a class="elsevierStyleCrossRef" href="#bib0215"><span class="elsevierStyleSup">12</span></a></td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">I&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">35&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">21&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " rowspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Back</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">II&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">23&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">56&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">III&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">51&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">70&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">14&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">IV&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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Journal Information
Vol. 111. Issue 5.
Pages 390-397 (June 2020)
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12132
Vol. 111. Issue 5.
Pages 390-397 (June 2020)
Original Article
Open Access
Minimal Erythema Dose: Correlation with Fitzpatrick Skin Type and Concordance Between Methods of Erythema Assessment in a Patient Sample in Colombia
Dosis eritematosa mínima: correlación con el fototipo y método de medición en una muestra de población colombiana
Visits
12132
M.C. Valbuenaa,
Corresponding author
marvalbuen@yahoo.com

Corresponding author.
, J.A. Nova Villanuevaa, G. Sánchez Vanegasb
a Hospital Universitario Centro Dermatológico Federico Lleras Acosta, Bogotá, Colombia
b Fundación Universitaria de Ciencias de la Salud-FUCS, Bogotá, Colombia
This item has received

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Abstract
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Figures (3)
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Tables (6)
Table 1. Skin Types and MED (UV-A+UV-B, UV-A, and Narrowband UV-B) Assessed Visually and by Mexameter.
Table 2. Skin Types and Mean MED (UV-A+UV-B, UV-A, and Narrowband UV-B) Assessed Visually.
Table 3. Correlation Between Skin Type and MED.
Table 4. Lin Concordance-Correlation for MED Assessed Visually and Using Mexameter MX 18.
Table 5. Mean MED Values (UV-A+UV-B) in Studies Performed With a Solar Simulator.
Table 6. Mean MED Values With Other UV-B Sources.
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Abstract
Background and objective

The minimal erythema dose (MED), an essential measurement in studies of skin photosensitivity, requires establishing MED values for specific populations, given genetic variation. Different ways to assess erythema are also relevant. We aimed to determine MED values in a sample of Colombian patients and correlations between MED and Fitzpatrick skin type. We also studied concordance correlation between MEDs and two alternative ways to assess erythema.

Patients and methods

Cross-sectional study of 113 individuals in Bogotá, Colombia. We used a solar simulator to measure UV-A radiation and combined UV-A and UV-B (UVA+UVB) radiation, for MED calculation. Narrowband UV-B (NBUVB) radiation was measured in a phototherapy cabin. Erythema was assessed visually and with a Mexameter MX 18 device.

Results

The median MEDs of UVA+UVB radiation were 22mJ/cm2 for Fitzpatrick skin types I and II, and 33 and 43mJ/cm2, respectively, for skin types III and IV. The MEDs of UV-A radiation were 22, 42, 86, and 100J/cm2 for skin types I, II, III, and IV, respectively. The MEDs of NBUVB radiation were 390, 550, 770, and 885mJ/cm2 for the 4 skin types. The correlation between MEDs and skin types ranged from 0.5 to 0.69. Lin's concordance correlation coefficients between visual and Mexameter assessments of erythema were greater than 0.8 in all cases.

Conclusion

This study allowed us to understand MED values for UV-A, UVA+UVB, and NBUVB according to different skin types in the Colombian population. Concordance correlation coefficients between the different methods of erythema assessment were very good. Correlations between MEDs and skin types were moderate to good.

Keywords:
Solar simulators
UV rays
Skin phototype
Correlation study: Colombia
Resumen
Antecedentes y objetivo

La determinación de la dosis eritematosa mínima (DEM) es necesaria para el estudio de la fotosensibilidad cutánea, debe determinarse en cada población, dadas las diferencias genéticas y las metodologías utilizadas. El objetivo de este estudio fue determinar la DEM en población colombiana, su correlación con los fototipos y la concordancia de dos alternativas de medición.

Pacientes y métodos

Estudio de corte trasversal que incluyó 113 personas en Bogotá (Colombia). Se determinó la DEM para UVA+UVB y UVA utilizando un simulador solar y para UVB de banda estrecha (UVBBE) con una cabina de fototerapia. La evaluación se realizó visualmente y por Mexameter MX®-18.

Resultados

La mediana de la DEM para UVA+UVB fue de 22mJ/cm2 para fototipos I y II y de 33 y 43mJ/cm2 para fototiposIII y IV, respectivamente; para UVA fue de 22, 42, 86 y 100J/cm2 y para UVBBE de 390, 550, 770 y 885mJ/cm2 (fototipos I-IV, respectivamente). La correlación entre los fototipos y la DEM osciló entre 0,5 y 0,69. El nivel de correlación-concordancia de LIN entre el método visual y el Mexameter fue superior a 0,8 en todos los casos.

Conclusiones

Este estudio permitió conocer los valores de DEM para UVA+UVB, UVA y UVBBE para los diferentes fototipos en la población colombiana, y evidenció una correlación muy buena entre los métodos de medición evaluados y una correlación moderada a buena entre la DEM y los fototipos.

Palabras clave:
Simulador solar
Rayos ultravioleta
Fototipo
Estudio de correlación
Colombia
Full Text
Introduction

Evaluation of skin sensitivity to UV radiation is a key component of the assessment of cutaneous photosensitivity, which is essential in the case of photodermatosis, photocarcinogenesis, sun protection, and use of phototherapy.1,2 One of the most commonly used parameters for measuring sensitivity is the determination of the minimal erythema dose (MED), which is defined as the minimum dose of UV radiation capable of inducing perceptible erythema in the skin. It is usually evaluated 24hours after irradiation.3,4

Visual detection of the MED is subjective, and its value can be affected by various factors, such as the light source, the increments used, the area irradiated, previous exposure to UV radiation, the definition of the MED, skin temperature, and intraobserver and interobserver variability.2 Differences in ethnicity also affect variability in the detection of the MED; therefore, measurement must be validated for the specific population.

Potential sensitivity to UV radiation can be evaluated using indirect methods without having to measure the MED. The most widely used is the Fitzpatrick skin type scale,5 although the reliability and validity of this system have been called into question, mainly because it is subjective and prone to recall bias.2,6,7 Nevertheless, Sánchez et al.8 suggest that the scale can prove to be reliable insofar as the evaluation method of this approach can be standardized.

In several countries, the MED has been determined taking into account the skin type, and some studies have shown that there is no favorable correlation between these variables.6,9–12 In Colombia, the only published study was performed in schoolchildren and did not find a correlation between MED for UV-B and phototype.12

Cutaneous erythema has been assessed more objectively using various instruments, including the tristimulus colorimeter (chromameter) and the narrowband simple reflectance spectrophotometer (Mexameter MX 18), which correlate well with the visual evaluation.13,14

The objective of the present study was to determine the MED for UV-A+UV-B, UV-A, and narrowband UV-B in a group of Columbian individuals with different skin types, the degree of correlation between MED and the skin types, and the degree of concordance and correlation between the 2 assessment methods (visual assessment and Mexameter MX 18).

MethodsDesign, Population, and Sample

We performed a cross-sectional study to evaluate the sensitivity of the skin to UV radiation in terms of the MED value in a sample of Colombian patients and determined the concordance and correlation for 2 methods of measuring MED, namely, visual assessment and Mexameter MX 18 (Courage Khazaka Electronic). The Mexameter MX 18 device is a spectrophotometer that measures absorption of light on 2 wavelengths, 568nm for hemoglobin and 660nm for melanin, yielding an erythema index and a melanin index. We used a sequential convenience sample of healthy individuals aged >18 years who were seen at Hospital Universitario Centro Dermatológico Federico Lleras Acosta, Bogotá, Colombia and gave their consent to participate in the study. We excluded patients who had taken systemic photosensitizing medication during the 2 months before initiation of the study, topical corticosteroids during the previous 8 days, and those who had taken oral antihistamines during the previous 2 days. We also excluded patients with a personal or family history of photosensitivity, those whose backs had been exposed to natural or artificial solar radiation during the 6 weeks before the study, and foreigners and children of foreign parents.

The sample size was calculated using the formula proposed for estimation of concordance and correlation in cross-sectional studies, which is based on ordinal and continuous data,15 taking into account an alfa of .05, an expected accuracy of 10%, and a correlation coefficient of 0.8 (according to a pilot study developed by the researchers). Based on the above, we calculated a sample size of 75 persons for determination of the MED for UV-A, UV-A+UV-B, and narrowband UV-B and for evaluation of the 2 techniques for measuring MED. All study procedures were approved by our institutional review board and were consistent with the recommendations of the Declaration of Helsinki.

Procedure for Evaluating MED

Each participant was evaluated using the Fitzpatrick skin type scale.5 The skin on the back was then irradiated with 20% increases in the dose of UV-A+UV-B (skin types I–II, 15–43mJ/cm2; and skin types III–IV, 30–72mJ/cm2), UV-A (skin types I–II, 20–50J/cm2; and skin types III–IV, 42–100J/cm2), and narrowband UV-B (skin types I–II, 50–550mJ/cm2; and skin types III–IV, 100–970mJ/cm2). UV-A+UV-B and UV-A were administered using a 300-mw solar simulator (Model 601 Multiport, Solar Light), which has 6 liquid light guides measuring 9mm each. Narrowband UV-B was administered using a phototherapy cabin (Daavlin, 305/350), with a potency of 4.3mW/cm2 at a distance of 15cm after placing a 4-layer white plastic mold with 8 fields, each measuring 1cm2, on the skin of the back. The rest of the body surface and the face were covered with a thick material that did not allow UV radiation to penetrate, and the participant wore photoprotective eyewear. The radiation doses were measured using a PMA-2100 dosimeter and its respective detectors (SUV PMA2103 and UVA PMA2113) in the case of the solar simulator (calibrated by Solar Light) and with an IL-1700 radiometer and its detector for narrowband UV-B (International Light) in the case of the phototherapy cabin.

MED was read at 24hours after irradiation, taking into account the lowest dose of radiation with which minimum perceptible erythema was achieved. The readings (visual and Mexameter MX 18) were taken by 2 trained observers. In the case of Mexameter MX 18, a total of 3 readings were taken by pressing the handheld unit against the nonradiated skin, and 3 readings were taken for each irradiated field; an average was then calculated. If erythema was not achieved, the procedure was repeated with geometrically increasing doses. The MED value taken using the Mexameter MX 18 was determined by a physicist and corresponded to the dose with which the maximum slope on the dose-response curve was obtained for each individual, based on a previously published method.16 The maximum UV-A dose administered with the solar simulator was 100J/cm2; for purposes of the analysis, persons for whom no erythema was achieved with this dose were arbitrarily assigned an MED value of 120mJ/cm2.

Statistical Analysis

A descriptive analysis was performed for each of the variables using the most appropriate summary statistics. Categorical variables were presented as frequency tables with absolute and relative values (sex and skin type). Given that the data were nonnormally distributed for MED (UV-A+UV-B, UV-A, and narrowband UV-B, visual and Mexameter MX 18 measurements), the variables were expressed as median (interquartile range [IQR]). The correlation between the skin type and the MED value, in all its different modalities, was evaluated using the Spearman correlation coefficient, with its respective 95% CI and P value. Furthermore, in order to evaluate the degree of concordance and correlation between the different MED values, we used the Lin concordance correlation coefficient, which was reported with its 95% CI and P value. The analysis was performed using Stata 14.

Results

The study population comprised 113 participants with a median age of 27 (18–56) years; of these, 66% were women. No participants had skin types V or VI. Fig. 1 shows the total number of individuals and their distribution by skin type. MED was evaluated for UV-A+UV-B and narrowband UV-B in 111 participants and for UV-A alone in 91 owing to difficulties in remaining for the time necessary to undergo the test. Erythema was not observed at the maximum dose of UV-A administered (100J/cm2) in 21 of the 91 cases (3 were skin type II, 7 skin type III, and 11 skin type IV), and in 14 participants, Mexameter MX 18 did not detect erythema (1 was skin type II, 7 skin type III, and 6 skin type IV). Table 1 and Fig. 2A–C show the median (IQR) MED by skin type and assessment method.

Figure 1.

Study Population. NBUVB indicates narrowband UV-B.

(0.11MB).
Table 1.

Skin Types and MED (UV-A+UV-B, UV-A, and Narrowband UV-B) Assessed Visually and by Mexameter.

Type of Radiation  Skin Type ISkin Type IISkin Type IIISkin Type IV
  MedianVIS/MEX  IQRVIS/MEX  MedianVIS/MEX  IQRVIS/MEX  MedianVIS/MEX  IQRVIS/MEX  MedianVIS/MEX  IQRVIS/MEX 
UV-A+UV-B  22/27  15/12  22/22  12/12  33/30  13/6  43/43  26/26 
UV-A  22/24  6.5/8.5  42/42  21/18  86/60  70/36  100/100  48/48 
Narrowband UV-B  390/390  160/0  550/550  380/160  770/590  420/220  885/770  330/470 

Abbreviations: IQR, interquartile range; MEX, Mexameter MX 18; VIS, visual.

Figure 2.

A–C, Box and whisker plots for UV-A+UV-B (MEDTOT), UV-A, and narrowband UV-B (NBUVB) for the MED values measured visually and using Mexameter MX 18 for skin types 1 to 4. Note the progressive increase in the median value, especially from skin type 2 to skin type 4. D–F, Diagrams showing the concordance-correlation coefficient between the visual measurement and measurement by Mexameter MX 18. Note the good correlation for the different wavelengths. MED indicates minimum erythema dose; NBUVB, narrowband UV-B.

(0.33MB).

In order to compare our findings with the literature on this subject, we calculated the mean MED assessed visually, even though the sample was not normally distributed (Table 2).

Table 2.

Skin Types and Mean MED (UV-A+UV-B, UV-A, and Narrowband UV-B) Assessed Visually.

Type of Radiation  Skin Type ISkin Type IISkin Type IIISkin Type IV
  Mean  SD  Mean  SD  Mean  SD  Mean  SD 
UV-A+UV-B  22  7.5  24  11.4  36  10.5  48  14.9 
UV-A  21  4.3  44  27.3  81  31.4  95  26.9 
Narrowband UV-B  498  167.1  593  225.5  765  205.6  946  275.7 
Correlation Between Phototypes and MED

We evaluated the correlation between skin types and each of the MED values (UV-A+UV-B, UV-A, narrowband UV-B), both visually and with the Mexameter MX 18. The correlation observed ranged from 0.5 to 0.69. The lowest correlations were recorded for narrowband UV-B, both visually and with Mexameter MX 18 (0.5 and 0.53, respectively). Table 3 shows the correlation coefficient obtained for each value with its P value.

Table 3.

Correlation Between Skin Type and MED.

  Spearman  P value 
MED UV-A VIS  0.64  <.001 
MED UV-A MEX  0.69  <.001 
MED narrowband UV-B VIS  0.50  <.001 
MED narrowband UV-B MEX  0.53  <.001 
MED UV-A+UV-B VIS  0.66  <.001 
MED UV-A+UV-B MEX  0.64  <.001 

Abbreviations: MED, minimum erythemal dose; MEX, Mexameter MX 18; VIS, visual assessment.

Concordance Correlation Between MED Assessed Visually and by Mexameter MX 18

The degree of concordance and correlation for each MED value was calculated according to whether it was assessed visually or using Mexameter MX 18. The Lin concordance correlation coefficient was greater than 0.8 in all cases (Table 4 and Fig. 2D–F).

Table 4.

Lin Concordance-Correlation for MED Assessed Visually and Using Mexameter MX 18.

Type of Radiation  Lin  CIP value 
UV-A  0.88  0.84  0.93  <.001 
Narrowband UV-B  0.83  0.78  0.89  <.001 
UV-A+UV-B  0.89  0.85  0.92  <.001 
Discussion

In this study, we determined the MED for UV-A, narrowband UV-B, and UV-A+UV-B in a sample of the Colombian population. Investigations based on a solar simulator revealed that the mean MED of UV-A+UV-B for the different skin types varies; however, the values for skin types I to IV in this study population were similar to those reported by Pérez-Ferriols et al.17 in Spain, probably owing to the fact that our population comprises people of Spanish descent as a result of genetic admixture.18 In a study carried out in India, the mean MED value for skin type IV was similar to the results for this skin type in Spain and in the present study.19 For skin type III, the mean MED was similar in Australian Asians,20 Spaniards,17 and Colombians. In China, the mean MED values by skin type are much higher,21 probably because the study was based on buttock skin, which is less sensitive than that of the back,9,22 and to genetic differences (Table 5).

Table 5.

Mean MED Values (UV-A+UV-B) in Studies Performed With a Solar Simulator.

Country  Skin Type  No.  MED UV-A+UV-BIrradiated Skin 
      mJ/cm2  SD   
India20  IV  41  51.2  5.88  Back 
China21II  NR64  22.2  Buttocks
III  66.3  17.1 
IV  77.4  17.4 
Australian Asians20II  39  NRBack
III  17  37.6 
IV  11  61 
Spain1723  Back or buttocks
II  89  28 
III  108  35 
IV  31  51 
Colombia (present study)22  7.5  Back
II  41  24  11.4 
III  48  36  10.5 
IV  19  49  14.9 

The mean MED value for skin types I–IV in studies carried out with other sources of UV-B (fluorescent UV-B lamps) in Brazil,11 in the USA,23 and for some skin types in the UK9 is similar to that of our population for UV-A+UV-B. In contrast, mean MED values in Korea,6 and more particularly, Singapore,24 are much higher for the same skin types (Table 6). These differences could be explained by genetic variability and because the skin irradiated in Singapore was on the buttocks.

Table 6.

Mean MED Values With Other UV-B Sources.

Country  Skin Type  No.  MED UV-BSite Irradiated 
      mJ/cm2  SD   
Korea610  59  17.9  Back
II  72.9  11.1 
III  46  72.4  31 
IV  34  69.4  30.8 
Singapore24II  79  27  Buttocks
III  36  108  43 
IV  32  163  50 
United Kingdom930  15  Back
II  11  25  10 
III  12  21 
IV  49 
United States of America2339  29  11.9  Buttocks
II  163  36  12.8 
III  146  43  17.6 
IV  58  58  23 
Brazil1130  14.8  Infraaxillary
II  35  26.8  5.8 
III  35  30.8  5.1 
IV  31  41.7 
Colombia1235  21  Back
II  23  56 
III  51  70  14 
IV  20  84  10 

If we compare the results of the present study with those reported from Medellin, Colombia,12 we see that in the latter the mean MED value by skin type was higher, probably because the definition of MED used was the minimum dose that led to erythema with well-defined borders.

Our literature review revealed few publications on MED values for UV-A, perhaps because of the difficulty obtaining a UV radiation source that emitted high doses of UV-A over short periods. The median MED values for UV-A in the present study, with the ranges obtained by Fitzpatrick,5 are similar for types I (22 vs 20–35J/cm2) and II (42 vs 30–35J/cm2), although they are higher for types III (86 vs 40–55J/cm2) and IV (100 vs 50–80J/cm2).

As for narrowband UV-B, the mean values for the Spanish population17 (obtained by applying a conversion factor to the MED results for UV-B) are similar to those of the present study for all skin types. In Detroit, USA, Carretero-Mangolis and Lim25 reported that the median MED was 600mJ/cm2 for skin types I-II and 700mJ/cm2 for skin types III-IV; both of these values are similar to those reported in the present study, that is, 550 and 770mJ/cm2, respectively. In 352 patients with psoriasis in the UK, the median MED values by skin type were lower: 200, 280, 390, and 550mJ/cm2 (skin types I–IV, respectively).26

Consistent with reports from other authors,2,11,12,24 we found that MED tended to increase with the skin type. However, the Fitzpatrick skin-type scale is not sufficient to distinguish well between values. In fact, MED values for UV-A+UV-B, UV-A, and narrowband UV-B overlap in different skin types, so that 2 people could have the same MED value but belong to different skin types.2,6,25,27,28

Some authors report no correlation between MED and skin type,6,9,12,29 whereas others do.11,24,30,31 After exploring this association, the present study found a correlation that can be classed as good for UV-A and UV-A+UV-B and moderate for narrowband UV-B.

The concordance correlation coefficient for MED assessed visually and using Mexameter MX 18 was very good for UV-A+UV-B, UV-A, and narrowband UV-B, as shown elsewhere.13,14 Taking these results into account, both forms of measurement are interchangeable; consequently, visual determination continues to be useful in clinical practice.

The limitations of the present study are its small sample size, especially in the case of skin type I, and the fact that the sample is not representative of the whole Colombian population, since we were unable to include individuals with skin types V and VI, who live in other geographic areas of the country. Furthermore, some individuals did not develop erythema at the maximum dose of UV-A administered (100mJ/cm2), sofor the data analysis, we assumed an MED value of 120J/cm2, which may not correspond to the real MED of these subjects.

Conclusion

In this study, where MED was determined for UV-A+UV-B, UVA, and narrowband UV-B in a group of Colombians with skin types I–IV, we found that MED values overlapped for different skin types. We also recorded a moderate to good correlation with the skin types and a good correlation between visual measurements and those obtained using an objective method (i.e., Mexameter MX 18).

Funding

This study was funded by Hospital Universitario Centro Dermatológico Federico Lleras Acosta, Bogotá, Colombia.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

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Please cite this article as: Valbuena MC, Nova Villanueva JA, Sánchez Vanegas G. Dosis eritematosa mínima: correlación con el fototipo y método de medición en una muestra de población colombiana. Actas Dermosifiliogr. 2020;111:390–397.

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