biostudies-literatureUnknown23(1)Arbel Y<h4>Objectives</h4>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.<h4>Study design</h4>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.<h4>Method</h4>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.<h4>Results</h4>Demonstrate a negative correlation between obesity and incidence of melanoBMC cancer178https://www.ebi.ac.uk/biostudies/studies/S-EPMC9944773biostudies-literatureIs obesity a risk factor for melanoma?PMC9944773Arbel YKerner MKerner AfalseIs obesity a risk factor for melanoma?<h4>Objectives</h4>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.<h4>Study design</h4>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.<h4>Method</h4>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.<h4>Results</h4>Demonstrate a negative correlation between obesity and incidence of melano2023-01-01T00:00:00Z2023 Feb2025-04-19T00:55:46.851Z2025-02-19T04:00:47.768ZS-EPMC99447733681424010.1186/s12885-023-10560-8