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

Liang，Yannis Yan1; Chen，Jie2; Peng，Miaoguan3; Zhou，Jiajin4; Chen，Xinru5; Tan，Xiao6,7,8; Wang，Ningjian9; Ma，Huan10; Guo，Lan10; Zhang，Jihui11; Wing，Yun Kwok2; Geng，Qingshan1,12,13; Ai，Sizhi11,14

2023-12-01

10.1186/s12967-023-03920-2

Journal of Translational Medicine   Impact Factor & Quartile

1479-5876

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 < 0.008). Genetically predicted short sleep duration was moderately associated with MetS and its four components, including central obesity, dyslipidemia, hypertriglyceridemia, and hyperglycemia (all P values < 0.002), whereas genetically long sleep duration was not associated with MetS and any of its components. Conclusions: Genetically predicted short sleep duration, but not genetically predicted long sleep duration, is a potentially causal risk factor for MetS. Graphical Abstract: [Figure not available: see fulltext.]

Hyperglycemia Mendelian randomization Metabolic syndrome Obesity Sleep duration

English

Corresponding

2-s2.0-85147460615

Scopus

1.Guangdong Cardiovascular Institute,Guangdong Provincial People’s Hospital,Guangdong Academy of Medical Sciences,Guangzhou,102 Zhongshan Road, Guangdong,China
2.Li Chiu Kong Family Sleep Assessment Unit,Department of Psychiatry,Faculty of Medicine,The Chinese University of Hong Kong,Shatin,Hong Kong
3.Department of Endocrinology,The Third Affiliated Hospital of Guangzhou Medical University,Guangzhou,Guangdong,China
4.The Affiliated Hospital of Kunming University of Science and Technology,The First People’s Hospital of Yunnan Province,Kunming,Yunnan,China
5.The First School of Clinical Medicine,Southern Medical University,Guangzhou,China
6.Department of Big Data in Health Science,Zhejiang University School of Public Health,Hangzhou,China
7.Department of Psychiatry,Sir Run Run Shaw Hospital,Zhejiang University School of Medicine,Hangzhou,China
8.Department of Medical Sciences,Uppsala University,Uppsala,Sweden
9.Institute and Department of Endocrinology and Metabolism,Shanghai Ninth People’s Hospital,Shanghai JiaoTong University School of Medicine,Shanghai,China
10.Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention,Guangdong Cardiovascular Institute,Guangdong Provincial People’s Hospital,Guangdong Academy of Medical Sciences,Guangzhou,Guangdong,China
11.Center for Sleep and Circadian Medicine,The Affiliated Brain Hospital of Guangzhou Medical University,Guangzhou,36 Mingxin Road, Guangdong,China
12.Department of Geriatrics,Shenzhen People’s Hospital,The Second Clinical Medical College,Jinan University,Shenzhen,Guangdong,China
13.Department of Geriatrics,The First Affiliated Hospital,Southern University of Science and Technology,Shenzhen,Guangdong,China
14.Department of Cardiology,Life Science Center,Heart Center,The First Affiliated Hospital of Xinxiang Medical University,Weihui,Henan,China

Liang，Yannis Yan,Chen，Jie,Peng，Miaoguan,et al. Association between sleep duration and metabolic syndrome: linear and nonlinear Mendelian randomization analyses[J]. Journal of Translational Medicine,2023,21(1).

Liang，Yannis Yan.,Chen，Jie.,Peng，Miaoguan.,Zhou，Jiajin.,Chen，Xinru.,...&Ai，Sizhi.(2023).Association between sleep duration and metabolic syndrome: linear and nonlinear Mendelian randomization analyses.Journal of Translational Medicine,21(1).

Liang，Yannis Yan,et al."Association between sleep duration and metabolic syndrome: linear and nonlinear Mendelian randomization analyses".Journal of Translational Medicine 21.1(2023).