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Estimation of individual cumulative ultraviolet exposure using a geographically-adjusted, openly-accessible tool
BACKGROUND: Estimates of an individual’s cumulative ultraviolet (UV) radiation exposure can be useful since ultraviolet radiation exposure increases skin cancer risk, but a comprehensive tool that is practical for use in the clinic does not currently exist. The objective of this study is to develop...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4721109/ https://www.ncbi.nlm.nih.gov/pubmed/26790927 http://dx.doi.org/10.1186/s12895-016-0038-1 |
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author | Zhu, Gefei A. Raber, Inbar Sakshuwong, Sukolsak Li, Shufeng Li, Angela S. Tan, Caroline Chang, Anne Lynn S. |
author_facet | Zhu, Gefei A. Raber, Inbar Sakshuwong, Sukolsak Li, Shufeng Li, Angela S. Tan, Caroline Chang, Anne Lynn S. |
author_sort | Zhu, Gefei A. |
collection | PubMed |
description | BACKGROUND: Estimates of an individual’s cumulative ultraviolet (UV) radiation exposure can be useful since ultraviolet radiation exposure increases skin cancer risk, but a comprehensive tool that is practical for use in the clinic does not currently exist. The objective of this study is to develop a geographically-adjusted tool to systematically estimate an individual’s self-reported cumulative UV radiation exposure, investigate the association of these estimates with skin cancer diagnosis, and assess test reliability. METHODS: A 12-item online questionnaire from validated survey items for UV exposure and skin cancer was administered to online volunteers across the United States and results cross-referenced with UV radiation indices. Cumulative UV exposure scores (CUES) were calculated and correlated with personal history of skin cancer in a case–control design. Reliability was assessed in a separate convenience sample. RESULTS: 1,118 responses were included in the overall sample; the mean age of respondents was 46 (standard deviation 15, range 18 – 81) and 150 (13 %) reported a history of skin cancer. In bivariate analysis of 1:2 age-matched cases (n = 149) and controls (n = 298), skin cancer cases were associated with (1) greater CUES prior to first skin cancer diagnosis than controls without skin cancer history (242,074 vs. 205,379, p = 0.003) and (2) less engagement in UV protective behaviors (p < 0.01). In a multivariate analysis of age-matched data, individuals with CUES in the lowest quartile were less likely to develop skin cancer compared to those in the highest quartile. In reliability testing among 19 volunteers, the 2-week intra-class correlation coefficient for CUES was 0.94. We have provided the programming code for this tool as well as the tool itself via open access. CONCLUSIONS: CUES is a useable and comprehensive tool to better estimate lifetime ultraviolet exposure, so that individuals with higher levels of exposure may be identified for counseling on photo-protective measures. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12895-016-0038-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4721109 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-47211092016-01-22 Estimation of individual cumulative ultraviolet exposure using a geographically-adjusted, openly-accessible tool Zhu, Gefei A. Raber, Inbar Sakshuwong, Sukolsak Li, Shufeng Li, Angela S. Tan, Caroline Chang, Anne Lynn S. BMC Dermatol Research Article BACKGROUND: Estimates of an individual’s cumulative ultraviolet (UV) radiation exposure can be useful since ultraviolet radiation exposure increases skin cancer risk, but a comprehensive tool that is practical for use in the clinic does not currently exist. The objective of this study is to develop a geographically-adjusted tool to systematically estimate an individual’s self-reported cumulative UV radiation exposure, investigate the association of these estimates with skin cancer diagnosis, and assess test reliability. METHODS: A 12-item online questionnaire from validated survey items for UV exposure and skin cancer was administered to online volunteers across the United States and results cross-referenced with UV radiation indices. Cumulative UV exposure scores (CUES) were calculated and correlated with personal history of skin cancer in a case–control design. Reliability was assessed in a separate convenience sample. RESULTS: 1,118 responses were included in the overall sample; the mean age of respondents was 46 (standard deviation 15, range 18 – 81) and 150 (13 %) reported a history of skin cancer. In bivariate analysis of 1:2 age-matched cases (n = 149) and controls (n = 298), skin cancer cases were associated with (1) greater CUES prior to first skin cancer diagnosis than controls without skin cancer history (242,074 vs. 205,379, p = 0.003) and (2) less engagement in UV protective behaviors (p < 0.01). In a multivariate analysis of age-matched data, individuals with CUES in the lowest quartile were less likely to develop skin cancer compared to those in the highest quartile. In reliability testing among 19 volunteers, the 2-week intra-class correlation coefficient for CUES was 0.94. We have provided the programming code for this tool as well as the tool itself via open access. CONCLUSIONS: CUES is a useable and comprehensive tool to better estimate lifetime ultraviolet exposure, so that individuals with higher levels of exposure may be identified for counseling on photo-protective measures. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12895-016-0038-1) contains supplementary material, which is available to authorized users. BioMed Central 2016-01-20 /pmc/articles/PMC4721109/ /pubmed/26790927 http://dx.doi.org/10.1186/s12895-016-0038-1 Text en © Zhu et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Zhu, Gefei A. Raber, Inbar Sakshuwong, Sukolsak Li, Shufeng Li, Angela S. Tan, Caroline Chang, Anne Lynn S. Estimation of individual cumulative ultraviolet exposure using a geographically-adjusted, openly-accessible tool |
title | Estimation of individual cumulative ultraviolet exposure using a geographically-adjusted, openly-accessible tool |
title_full | Estimation of individual cumulative ultraviolet exposure using a geographically-adjusted, openly-accessible tool |
title_fullStr | Estimation of individual cumulative ultraviolet exposure using a geographically-adjusted, openly-accessible tool |
title_full_unstemmed | Estimation of individual cumulative ultraviolet exposure using a geographically-adjusted, openly-accessible tool |
title_short | Estimation of individual cumulative ultraviolet exposure using a geographically-adjusted, openly-accessible tool |
title_sort | estimation of individual cumulative ultraviolet exposure using a geographically-adjusted, openly-accessible tool |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4721109/ https://www.ncbi.nlm.nih.gov/pubmed/26790927 http://dx.doi.org/10.1186/s12895-016-0038-1 |
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