Literature DB >> 36190719

Association of UV Radiation Exposure, Diagnostic Scrutiny, and Melanoma Incidence in US Counties.

Adewole S Adamson1, Heather Welch2, H Gilbert Welch3.   

Abstract

Importance: Although UV radiation exposure is the conventionally reported risk factor for cutaneous melanoma, an alternative exposure is diagnostic scrutiny: the more physicians look for and biopsy moles, the more melanoma they find. Objective: To assess the association of proxies for UV radiation exposure and diagnostic scrutiny with geographical patterns of melanoma incidence. Design, Setting, and Participants: This was a cross-sectional ecological analysis of the 727 continental US counties reporting to the Surveillance, Epidemiology, and End Results (SEER) Program (among a total of 3108 counties). Environmental data relevant to UV radiation exposure (from a variety of sources), Health Resources and Services Administration data relevant to diagnostic scrutiny, and SEER data on melanoma incidence among the non-Hispanic White population diagnosed with melanoma from 2012 through 2016 were combined. Data analysis was performed between January 2020 and July 2022. Exposures: Three UV radiation proxies (UV daily dose, cloud variability, and temperature variability) and 3 diagnostic scrutiny proxies (median household income, dermatologists, and primary care physician supply). Main Outcomes and Measures: Melanoma incidence (in situ and invasive cancers).
Results: In total, 235 333 melanomas were diagnosed. Proxies for UV radiation exposure changed gradually across geography, while melanoma incidence and proxies for diagnostic scrutiny changed abruptly across contiguous counties. The UV daily dose, a variable the National Cancer Institute specifically developed for melanoma analyses, was uncorrelated with incidence (r = 0.03; P = .42). For context, smoking prevalence was highly correlated with lung cancer incidence in the same counties (r = 0.81; P < .001). Melanoma incidence was correlated with median household income (r = 0.43; P < .001). Counties with no dermatologists and shortages of primary care physicians had the lowest incidence, while counties amply supplied with both had the highest, despite having lower mean UV daily dose. There was little association between melanoma incidence and melanoma mortality (r = 0.09; P = .05), while the analogous association in lung cancer was strong (r = 0.96; P < .001). Conclusions and Relevance: In this cross-sectional ecological study, the current geographical pattern of melanoma incidence across US counties was less associated with proxies for UV radiation exposure and more so with proxies for diagnostic scrutiny. Incidence-the fundamental epidemiologic measure of disease frequency-now had little association with the feared outcome of melanoma: death.

Entities:  

Year:  2022        PMID: 36190719      PMCID: PMC9531098          DOI: 10.1001/jamainternmed.2022.4342

Source DB:  PubMed          Journal:  JAMA Intern Med        ISSN: 2168-6106            Impact factor:   44.409


  25 in total

Review 1.  Meta-analysis of risk factors for cutaneous melanoma: II. Sun exposure.

Authors:  Sara Gandini; Francesco Sera; Maria Sofia Cattaruzza; Paolo Pasquini; Orietta Picconi; Peter Boyle; Carmelo Francesco Melchi
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2.  Methods for evaluating changes in health care policy: the difference-in-differences approach.

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5.  Ultraviolet Radiation Exposure and the Incidence of Oral, Pharyngeal and Cervical Cancer and Melanoma: An Analysis of the SEER Data.

Authors:  Spencer Adams; Jie Lin; Derek Brown; Craig D Shriver; Kangmin Zhu
Journal:  Anticancer Res       Date:  2016-01       Impact factor: 2.480

6.  Ethnic differences among patients with cutaneous melanoma.

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Authors:  V L Ernster; J Barclay; K Kerlikowske; D Grady; C Henderson
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9.  Breast and colorectal cancer screening and sources of cancer information among older women in the United States: results from the 2003 Health Information National Trends Survey.

Authors:  Steven S Coughlin; Zahava Berkowitz; Nikki A Hawkins; Florence Tangka
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10.  Cigarette smoking prevalence in US counties: 1996-2012.

Authors:  Laura Dwyer-Lindgren; Ali H Mokdad; Tanja Srebotnjak; Abraham D Flaxman; Gillian M Hansen; Christopher Jl Murray
Journal:  Popul Health Metr       Date:  2014-03-24
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