Association between sleep duration and metabolic syndrome: linear and nonlinear Mendelian randomization analyses

Autor: Yannis Yan Liang, Jie Chen, Miaoguan Peng, Jiajin Zhou, Xinru Chen, Xiao Tan, Ningjian Wang, Huan Ma, Lan Guo, Jihui Zhang, Yun-Kwok Wing, Qingshan Geng, Sizhi Ai
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Journal of Translational Medicine, Vol 21, Iss 1, Pp 1-12 (2023)
Druh dokumentu: article
ISSN: 1479-5876
DOI: 10.1186/s12967-023-03920-2
Popis: Abstract Background Observational studies have found that both short and long sleep duration are associated with increased risk of metabolic syndrome (MetS). This study aimed to examine the associations of genetically determined sleep durations with MetS and its five components (i.e., central obesity, high blood pressure, dyslipidemia, hypertriglyceridemia, and hyperglycemia) among a group of elderly population. Methods In 335,727 participants of White British from the UK Biobank, linear Mendelian randomization (MR) methods were first employed to examine the causal association of genetically predicted continuous sleep duration with MetS and its each component. Nonlinear MR analyses were performed to determine the nonlinearity of these associations. The causal associations of short and long sleep duration with MetS and its components were further assessed by using genetic variants that associated with short (≤ 6 h) and long sleep (≥ 9 h) durations. Results Linear MR analyses demonstrated that genetically predicted 1-h longer sleep duration was associated with a 13% lower risk of MetS, a 30% lower risk of central obesity, and a 26% lower risk of hyperglycemia. Non-linear MR analyses provided evidence for non-linear associations of genetically predicted sleep duration with MetS and its five components (all P values
Databáze: Directory of Open Access Journals
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