{"title":"Associations Between Sleep Duration and Cardiometabolic Diseases Among Residents in Southwest China","authors":"Jinxi Li, Yiduo Lu, Xuyun Zhang, Gang Liu","doi":"10.2147/nss.s466283","DOIUrl":null,"url":null,"abstract":"<strong>Introduction:</strong> The burden of cardiometabolic diseases (CMDs), defined as stroke, coronary artery disease, and diabetes mellitus, continues to pose a global challenge. Sleep duration has been linked to cardiovascular health. However, there is a lack of focused investigations on CMDs in underdeveloped areas of China.<br/><strong>Purpose:</strong> This study aimed to examine the relationship between sleep duration and CMDs among residents from southwest China.<br/><strong>Patients and Methods:</strong> This large cross-sectional study screened data from the National Key Research and Development Program (2018YFC1311400). Based on sleep duration reported through a standardized questionnaire, encompassing the sleep patterns of the past five years, participants were classified into three groups: < 6, 6– 8, > 8 hours. Baseline characteristics were compared, and Poisson regression models were used to assess the relationship between sleep duration and CMDs. Subgroup analysis was conducted based on age and gender.<br/><strong>Results:</strong> This study included 28,908 participants with an average age of 65.6 ± 10.0 years, of whom 57.6% were female. The overall prevalence of CMDs was 22.6%. After multivariate adjustments, the prevalence ratios (PR) (95% CI) for CMDs across the three groups (6– 8h, < 6h and > 8h) were: reference, 1.140 (1.068– 1.218), 1.060 (0.961– 1.169) (<em>P <sub>for trend</sub></em> =0.003), respectively. The subgroup analysis revealed that among older females, a longer sleep duration (> 8h) was also associated with an increased prevalence risk of CMDs, with PR 1.169 (1.001– 1.365) (<em>p</em>=0.049).<br/><strong>Conclusion:</strong> A shorter sleep duration (< 6 hours) was associated with an increased risk of CMDs in the general population, while a longer sleep duration (> 8 hours) also raised the prevalence risk among older females.<br/><br/><strong>Keywords:</strong> cardiometabolic disease, sleep duration, Southwest China<br/>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":null,"pages":null},"PeriodicalIF":3.0000,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature and Science of Sleep","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/nss.s466283","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: The burden of cardiometabolic diseases (CMDs), defined as stroke, coronary artery disease, and diabetes mellitus, continues to pose a global challenge. Sleep duration has been linked to cardiovascular health. However, there is a lack of focused investigations on CMDs in underdeveloped areas of China. Purpose: This study aimed to examine the relationship between sleep duration and CMDs among residents from southwest China. Patients and Methods: This large cross-sectional study screened data from the National Key Research and Development Program (2018YFC1311400). Based on sleep duration reported through a standardized questionnaire, encompassing the sleep patterns of the past five years, participants were classified into three groups: < 6, 6– 8, > 8 hours. Baseline characteristics were compared, and Poisson regression models were used to assess the relationship between sleep duration and CMDs. Subgroup analysis was conducted based on age and gender. Results: This study included 28,908 participants with an average age of 65.6 ± 10.0 years, of whom 57.6% were female. The overall prevalence of CMDs was 22.6%. After multivariate adjustments, the prevalence ratios (PR) (95% CI) for CMDs across the three groups (6– 8h, < 6h and > 8h) were: reference, 1.140 (1.068– 1.218), 1.060 (0.961– 1.169) (P for trend =0.003), respectively. The subgroup analysis revealed that among older females, a longer sleep duration (> 8h) was also associated with an increased prevalence risk of CMDs, with PR 1.169 (1.001– 1.365) (p=0.049). Conclusion: A shorter sleep duration (< 6 hours) was associated with an increased risk of CMDs in the general population, while a longer sleep duration (> 8 hours) also raised the prevalence risk among older females.
Keywords: cardiometabolic disease, sleep duration, Southwest China
期刊介绍:
Nature and Science of Sleep is an international, peer-reviewed, open access journal covering all aspects of sleep science and sleep medicine, including the neurophysiology and functions of sleep, the genetics of sleep, sleep and society, biological rhythms, dreaming, sleep disorders and therapy, and strategies to optimize healthy sleep.
Specific topics covered in the journal include:
The functions of sleep in humans and other animals
Physiological and neurophysiological changes with sleep
The genetics of sleep and sleep differences
The neurotransmitters, receptors and pathways involved in controlling both sleep and wakefulness
Behavioral and pharmacological interventions aimed at improving sleep, and improving wakefulness
Sleep changes with development and with age
Sleep and reproduction (e.g., changes across the menstrual cycle, with pregnancy and menopause)
The science and nature of dreams
Sleep disorders
Impact of sleep and sleep disorders on health, daytime function and quality of life
Sleep problems secondary to clinical disorders
Interaction of society with sleep (e.g., consequences of shift work, occupational health, public health)
The microbiome and sleep
Chronotherapy
Impact of circadian rhythms on sleep, physiology, cognition and health
Mechanisms controlling circadian rhythms, centrally and peripherally
Impact of circadian rhythm disruptions (including night shift work, jet lag and social jet lag) on sleep, physiology, cognition and health
Behavioral and pharmacological interventions aimed at reducing adverse effects of circadian-related sleep disruption
Assessment of technologies and biomarkers for measuring sleep and/or circadian rhythms
Epigenetic markers of sleep or circadian disruption.