Author
Listed:
- Huan Yu
(Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China)
- Kexiang Shi
(Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China)
- Haiming Yang
(Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China)
- Dianjianyi Sun
(Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China)
- Jun Lv
(Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China
Peking University Health Science Center, Meinian Public Health Institute, Beijing 100191, China
Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
Key Laboratory of Molecular Cardiovascular Sciences, Peking University, Ministry of Education, Beijing 100191, China)
- Yuan Ma
(Peking University Health Science Center, Meinian Public Health Institute, Beijing 100191, China
Meinian Institute of Health, Beijing 100191, China)
- Sailimai Man
(Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China
Peking University Health Science Center, Meinian Public Health Institute, Beijing 100191, China
Meinian Institute of Health, Beijing 100191, China)
- Jianchun Yin
(MJ Health Care Group, Shanghai 200041, China)
- Bo Wang
(Peking University Health Science Center, Meinian Public Health Institute, Beijing 100191, China
Meinian Institute of Health, Beijing 100191, China)
- Canqing Yu
(Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China
Peking University Health Science Center, Meinian Public Health Institute, Beijing 100191, China
Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China)
- Liming Li
(Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China
Peking University Health Science Center, Meinian Public Health Institute, Beijing 100191, China
Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China)
Abstract
Little is known about the association of sleep duration with hyperuricemia. Especially lacking is evidence from longitudinal studies. Based on the MJ Health Examination Database in Beijing, China, a prospective study was designed. Participants were classed into short, normal, and long groups by sleep duration. The Cox regression model was used to estimate the hazard risk of hyperuricemia for short or long sleep duration compared with the normal group after adjusting for potential confounders. During a median 3.08 years follow-up, 4868 (14.31%) incident hyperuricemia events were documented among 34,025 participants with a crude incidence rate of 39.49 per 1000 persons. Years after adjusting for potential confounders, a 7% higher risk of hyperuricemia in the short sleep duration group (<7 h, 95% confidence interval: 1.01–1.14) and a 15% lower risk in the long sleep duration group (≥8 h, 95%CI: 0.74–0.97) were found compared with the normal group (7–8 h) ( p for trend < 0.001). Nevertheless, the association of the short sleep duration group was marginally significant after further adjustment of the count of white blood cells (hazard ratio: 1.07, 95%CI: 1.00–1.13). Sleep duration was inversely associated with hyperuricemia, which highlights the public health significance of sufficient sleep duration for preventing hyperuricemia.
Suggested Citation
Huan Yu & Kexiang Shi & Haiming Yang & Dianjianyi Sun & Jun Lv & Yuan Ma & Sailimai Man & Jianchun Yin & Bo Wang & Canqing Yu & Liming Li, 2022.
"Association of Sleep Duration with Hyperuricemia in Chinese Adults: A Prospective Longitudinal Study,"
IJERPH, MDPI, vol. 19(13), pages 1-11, July.
Handle:
RePEc:gam:jijerp:v:19:y:2022:i:13:p:8105-:d:853981
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