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Is obesity a risk factor for melanoma?
OBJECTIVES: Are twofold: 1) to estimate the relationship between obesity (BMI ≥30) and the prevalence of melanoma in different US states and 2) to examine the possibility of defining a new risk group. This might enhance the possibility of detection, which in turn, might increase the survival rates o...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9944773/ https://www.ncbi.nlm.nih.gov/pubmed/36814240 http://dx.doi.org/10.1186/s12885-023-10560-8 |
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author | Arbel, Yuval Arbel, Yifat Kerner, Amichai Kerner, Miryam |
author_facet | Arbel, Yuval Arbel, Yifat Kerner, Amichai Kerner, Miryam |
author_sort | Arbel, Yuval |
collection | PubMed |
description | OBJECTIVES: Are twofold: 1) to estimate the relationship between obesity (BMI ≥30) and the prevalence of melanoma in different US states and 2) to examine the possibility of defining a new risk group. This might enhance the possibility of detection, which in turn, might increase the survival rates of patients. STUDY DESIGN: A cohort Study, based on data at the US statewide level in 2011–2017, where the dependent variable (the annual new melanoma cases per 100,000 persons) is adjusted for age. METHOD: Quadratic regression analysis. This model permits a non-monotonic variation of obesity with new melanoma cases adjusted for age, where the control variable is the level of UV radiation. RESULTS: Demonstrate a negative correlation between obesity and incidence of melanoma. This outcome is further corroborated for Caucasians. CONCLUSIONS: We should continue to establish primary prevention of melanoma by raising photo protection awareness and secondary prevention by promoting skin screening (by physician or self) among the entire population group in all BMI ranges. Advanced secondary melanoma prevention including noninvasive diagnosis strategies including total body photography, confocal microscopy, AI strategies should focus the high-risk sub group of Caucasians with BMI < 30. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-10560-8. |
format | Online Article Text |
id | pubmed-9944773 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-99447732023-02-22 Is obesity a risk factor for melanoma? Arbel, Yuval Arbel, Yifat Kerner, Amichai Kerner, Miryam BMC Cancer Research OBJECTIVES: Are twofold: 1) to estimate the relationship between obesity (BMI ≥30) and the prevalence of melanoma in different US states and 2) to examine the possibility of defining a new risk group. This might enhance the possibility of detection, which in turn, might increase the survival rates of patients. STUDY DESIGN: A cohort Study, based on data at the US statewide level in 2011–2017, where the dependent variable (the annual new melanoma cases per 100,000 persons) is adjusted for age. METHOD: Quadratic regression analysis. This model permits a non-monotonic variation of obesity with new melanoma cases adjusted for age, where the control variable is the level of UV radiation. RESULTS: Demonstrate a negative correlation between obesity and incidence of melanoma. This outcome is further corroborated for Caucasians. CONCLUSIONS: We should continue to establish primary prevention of melanoma by raising photo protection awareness and secondary prevention by promoting skin screening (by physician or self) among the entire population group in all BMI ranges. Advanced secondary melanoma prevention including noninvasive diagnosis strategies including total body photography, confocal microscopy, AI strategies should focus the high-risk sub group of Caucasians with BMI < 30. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-10560-8. BioMed Central 2023-02-22 /pmc/articles/PMC9944773/ /pubmed/36814240 http://dx.doi.org/10.1186/s12885-023-10560-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Arbel, Yuval Arbel, Yifat Kerner, Amichai Kerner, Miryam Is obesity a risk factor for melanoma? |
title | Is obesity a risk factor for melanoma? |
title_full | Is obesity a risk factor for melanoma? |
title_fullStr | Is obesity a risk factor for melanoma? |
title_full_unstemmed | Is obesity a risk factor for melanoma? |
title_short | Is obesity a risk factor for melanoma? |
title_sort | is obesity a risk factor for melanoma? |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9944773/ https://www.ncbi.nlm.nih.gov/pubmed/36814240 http://dx.doi.org/10.1186/s12885-023-10560-8 |
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