» Articles » PMID: 29203439

Age-dependent Interaction Between Sex and Geographic Ultraviolet Index in Melanoma Risk

Overview
Specialty Dermatology
Date 2017 Dec 6
PMID 29203439
Citations 16
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Ultraviolet (UV) exposure may not affect melanoma development equally in different sexes and ages. Whether and how these factors interact with each other in relation to melanoma risk is unknown.

Objective: This study attempts to estimate interactions among UV index (UVI), sex, and age in melanoma risk.

Methods: Melanoma incidence data were collected from 42 cancer registries. Geographic UVI was collected from local satellite stations. Negative binomial regression models were used to estimate the impact of each risk factor and their interactions.

Results: Sex, UVI, and age, as well as interactions between any 2 of these factors, were significantly associated with melanoma risk. In younger age groups, female sex is an independent risk factor for melanoma that is not affected by ambient UV exposure. In older age groups, however, female sex interacts with UV exposure as a risk factor, exhibiting a protective effect. The switching age category is 45 to 49, which correlates with dramatic hormonal changes.

Limitations: The interaction between sex and UVI is measured at an ecologic level.

Conclusions: The interaction between sex and UVI is age dependent. Female sex is an independent risk factor for early-onset melanoma, but female sex also protects against UV-associated melanoma in older age groups.

Citing Articles

Geospatial Patterns of Non-Melanoma Skin Cancer in Relation to Climate Changes in Iran.

Aryan Kya M Asian Pac J Cancer Prev. 2024; 25(3):1053-1063.

PMID: 38546088 PMC: 11152402. DOI: 10.31557/APJCP.2024.25.3.1053.


Understanding the Perceived Relationship between Sun Exposure and Melanoma in Atlantic Canada: A Consensual Qualitative Study Highlighting a "Sunscreen Paradox".

Alli S, LeBeau J, Hasbani A, Lagace F, Litvinov I, Pelaez S Cancers (Basel). 2023; 15(19).

PMID: 37835419 PMC: 10571640. DOI: 10.3390/cancers15194726.


Advances in Early Detection of Melanoma and the Future of At-Home Testing.

Garrison Z, Hall C, Fey R, Clister T, Khan N, Nichols R Life (Basel). 2023; 13(4).

PMID: 37109503 PMC: 10145469. DOI: 10.3390/life13040974.


An Updated Algorithm Integrated With Patient Data for the Differentiation of Atypical Nevi From Early Melanomas: the idScore 2021.

Tognetti L, Cartocci A, Bertello M, Giordani M, Cinotti E, Cevenini G Dermatol Pract Concept. 2022; 12(3):e2022134.

PMID: 36159145 PMC: 9464562. DOI: 10.5826/dpc.1203a134.


Clinical significance and immune landscape of KIR2DL4 and the senescence-based signature in cutaneous melanoma.

Mao R, Ren Z, Yang F, Yang P, Zhang T Cancer Sci. 2022; 113(11):3947-3959.

PMID: 35848898 PMC: 9633315. DOI: 10.1111/cas.15499.


References
1.
Ting W, Schultz K, Cac N, Peterson M, Walling H . Tanning bed exposure increases the risk of malignant melanoma. Int J Dermatol. 2008; 46(12):1253-7. DOI: 10.1111/j.1365-4632.2007.03408.x. View

2.
Hoyt L, Falconi A . Puberty and perimenopause: reproductive transitions and their implications for women's health. Soc Sci Med. 2015; 132:103-12. PMC: 4400253. DOI: 10.1016/j.socscimed.2015.03.031. View

3.
Rogers H, Weinstock M, Feldman S, Coldiron B . Incidence Estimate of Nonmelanoma Skin Cancer (Keratinocyte Carcinomas) in the U.S. Population, 2012. JAMA Dermatol. 2015; 151(10):1081-6. DOI: 10.1001/jamadermatol.2015.1187. View

4.
Liu-Smith F, Farhat A, Arce A, Ziogas A, Taylor T, Wang Z . Sex differences in the association of cutaneous melanoma incidence rates and geographic ultraviolet light exposure. J Am Acad Dermatol. 2017; 76(3):499-505.e3. PMC: 5407289. DOI: 10.1016/j.jaad.2016.08.027. View

5.
Julian A, Bethel J, Odden M, Thorburn S . Sex differences and risk behaviors among indoor tanners. Prev Med Rep. 2016; 3:283-7. PMC: 4929176. DOI: 10.1016/j.pmedr.2016.03.011. View