Longitudinal Position and Cancer Risk in the United States Revisited.

ABSTRACT: The debate over daylight saving time (DST) has surged, with interests in the effects of sunlight exposure on health. Prior studies simulated DST and standard time conditions by analyzing different locations within time zones and neighboring areas across time zone borders. We analyzed cancer incidence rates from various longitudinal positions within time zones and at time zone borders in the contiguous United States. Using data from State Cancer Profiles (2016-2020), we analyzed total cancer of 19 types and specific rates for eight cancers, adjusted for age and includes all demographics. log-linear regression is used to replicate a previous study, and spatial regression models are employed to explore discontinuities at borders. Cancer rate differences lack statistical significance within ti

SUBMITTER: Niu J 

PROVIDER: S-EPMC10848893 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature