Skin Cancer Behavioral Risk Factors and Screening Among U.S. Adults in Same-Sex Relationships: A Population-Based Study from 2000 to 2015.
Howa YeungKrittin J SupapannachartSuephy C ChenPublished in: LGBT health (2022)
Purpose: Skin cancer is prevalent in sexual minority men but little is known about risk factors and screening specifically among couples in same-sex relationships (SSR). We aimed to compare sunburns, sun-protective behaviors, indoor tanning, and total body skin examinations (TBSEs) between people in SSR with those in opposite-sex relationships (OSR). Methods: We conducted a pooled cross-sectional analysis of 2000-2015 data from the National Health Interview Survey, a nationally representative survey of the United States civilian population. Results: Of 102,365 adults with a spouse or married partner, 448 (0.4%) were men in SSR, 48,312 (48.1%) men in OSR, 497 (0.5%) women in SSR, and 53,108 women in OSR (51.9%). Men in SSR were more likely than men in OSR to seek shade (adjusted odds ratio [aOR] = 1.41; 95% confidence interval [CI] = 1.07-1.85), tan indoors (aOR = 3.71; 95% CI = 2.38-5.78), and receive any TBSE (aOR = 2.45; 95% CI = 1.69-3.54) after adjusting for sociodemographic factors, health insurance status, and health behaviors. Men in SSR were less likely than men in OSR to wear long pants (aOR = 0.63; 95% CI = 0.46-0.85) and caps or visors (aOR = 0.50; 95% CI = 0.36-0.69). No differences in sunburns, sun-protective behaviors, indoor tanning, and TBSE between women in SSR and OSR were observed after multivariable adjustment. Conclusion: Patterns of sun-protective behaviors and indoor tanning among men in SSR, compared with men in OSR, demonstrate modifiable behaviors that may mitigate skin cancer risk. Dyadic counseling and public health interventions geared toward men in SSR may promote sun-protective behaviors and reduce indoor tanning.
Keyphrases
- middle aged
- public health
- risk factors
- cross sectional
- genetic diversity
- health insurance
- air pollution
- skin cancer
- randomized controlled trial
- healthcare
- polycystic ovary syndrome
- clinical trial
- health risk
- metabolic syndrome
- electronic health record
- deep learning
- health information
- heavy metals
- human immunodeficiency virus
- hiv infected