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- Title
An association between cumulative exposure to light at night and the prevalence of hyperuricemia in steel workers.
- Authors
XIAOMING LI; XIANGHUI XU; YANG SONG; SHIYUE CUI; CHAO XUE; LIHUA WANG; JIANHUI WU; JUXIANG YUAN; Li, Xiaoming; Xu, Xianghui; Song, Yang; Cui, Shiyue; Xue, Chao; Wang, Lihua; Wu, Jianhui; Yuan, Juxiang
- Abstract
<bold>Objectives: </bold>Exposure to light at night (LAN) can disturb circadian endocrine and metabolic rhythms. Hyperuricemia (HUA) is an early-onset metabolic disorder. However, it is still not clear whether LAN exposure increases the prevalence of HUA.<bold>Material and Methods: </bold>The authors used crosssectional data on the Beijing-Tianjin-Hebei occupational populations cohort from March-July 2017. A total of 7664 steel workers were finally selected to investigate the relationship between LAN exposure and the prevalence of HUA among steel workers. The authors collected demographic and socio-economic data, as well as information on lifestyle factors, anthropometric measures, and laboratory tests. The restricted cubic spline method was used to analyze the dose-response relationship between cumulative LAN exposure and the prevalence of HUA. Logistic regression analyses were used to fit the relationship between them.<bold>Results: </bold>The average age of the participants was 43.5±8.6 years; 7051 (91.7%) of them were males, 2749 (35.9%) reported to suffer from HUA, and 1241 (16.2%) were not exposed to LAN. There was a significant non-linear dose-response relationship between them. After adjustment for the confounding factors, including demographic data, lifestyle factors, etc., the lower LAN exposure was significantly associated with HUA (0-1931.7 days, OR = 1.180, and the 95% CI: 1.000-1.394; 1931.7-4343 days, OR = 1.215, 95% CI: 1.035-1.426).<bold>Conclusions: </bold>This study revealed that a certain amount of exposure to LAN is independently related to the prevalence of HUA in steel workers in China. Int J Occup Med Environ Health. 2021;34(3):385-401.
- Subjects
IRON &; steel workers; HYPERURICEMIA; LOGISTIC regression analysis; SPLINES
- Publication
International Journal of Occupational Medicine & Environmental Health, 2021, Vol 34, Issue 3, p385
- ISSN
1232-1087
- Publication type
journal article
- DOI
10.13075/ijomeh.1896.01648