睡眠时间与美国成年人全因和特定原因死亡风险的关系：基于人群的队列研究

IF 3 2区医学 Q2 CLINICAL NEUROLOGY

Nature and Science of Sleep Pub Date : 2024-07-11 DOI:10.2147/nss.s469638

Jialin Gu, Hailan Wu, Wanjing Diao, Yi Ji, Jianyue Li, Jiege Huo

{"title":"睡眠时间与美国成年人全因和特定原因死亡风险的关系：基于人群的队列研究","authors":"Jialin Gu, Hailan Wu, Wanjing Diao, Yi Ji, Jianyue Li, Jiege Huo","doi":"10.2147/nss.s469638","DOIUrl":null,"url":null,"abstract":"Objective: To examine potential factors affecting sleep duration and explore its association with the risk of mortality among adults in the United States. Methods: The study population consisted of adults aged 26 to 79 years who participated in the National Health and Nutrition Examination Survey (NHANES) conducted from 2007 to 2016. Sleep duration was classified into three categories: short (< 7 hours), optimal (7– 8 hours), and long (≥ 9 hours). The associations between sleep duration and both all-cause mortality and cause-specific mortality (including heart disease, tumors, cerebrovascular disease, and others) were examined in the overall population and subgroups using weighted Cox regression models. Dose-response associations between sleep duration and risk of all-cause mortality were explored using restricted cubic spline (RCS) analyses. Additionally, a multinomial logistic regression analysis was conducted to investigate potential factors that influence sleep duration in adults. Results: The study included a total of 24,141 subjects, with a population-weighted mean age of 48.93 years. Over 30% of the subjects exhibited unhealthy sleep habits. Fully adjusted models revealed that both short sleep duration (HR=1.169, 95% CI 1.027– 1.331) and long sleep duration (HR=1.286, 95% CI 1.08– 1.531), were associated with an increased risk of all-cause mortality. The RCS curves showed a U-shaped relationship between sleep duration and risk of all-cause mortality. Subgroup analyses showed a significant association between poor sleep patterns and all-cause mortality among adults aged 26– 64 years, males, and non-Hispanic whites. Furthermore, multinomial logistic regression identified several predictors associated with short and long sleep durations. Conclusion: Both short and long sleep duration are associated with an increased risk of all-cause mortality, with a U-shaped dose-response relationship. It is imperative to implement appropriate primary prevention strategies aimed at monitoring and providing health education to populations at risk of developing unhealthy sleep patterns. Keywords: sleep duration, mortality, adults, association, NHANES ","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":null,"pages":null},"PeriodicalIF":3.0000,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Association of Sleep Duration with Risk of All-Cause and Cause-Specific Mortality Among American Adults: A Population-Based Cohort Study\",\"authors\":\"Jialin Gu, Hailan Wu, Wanjing Diao, Yi Ji, Jianyue Li, Jiege Huo\",\"doi\":\"10.2147/nss.s469638\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Objective: To examine potential factors affecting sleep duration and explore its association with the risk of mortality among adults in the United States. Methods: The study population consisted of adults aged 26 to 79 years who participated in the National Health and Nutrition Examination Survey (NHANES) conducted from 2007 to 2016. Sleep duration was classified into three categories: short (< 7 hours), optimal (7– 8 hours), and long (≥ 9 hours). The associations between sleep duration and both all-cause mortality and cause-specific mortality (including heart disease, tumors, cerebrovascular disease, and others) were examined in the overall population and subgroups using weighted Cox regression models. Dose-response associations between sleep duration and risk of all-cause mortality were explored using restricted cubic spline (RCS) analyses. Additionally, a multinomial logistic regression analysis was conducted to investigate potential factors that influence sleep duration in adults. Results: The study included a total of 24,141 subjects, with a population-weighted mean age of 48.93 years. Over 30% of the subjects exhibited unhealthy sleep habits. Fully adjusted models revealed that both short sleep duration (HR=1.169, 95% CI 1.027– 1.331) and long sleep duration (HR=1.286, 95% CI 1.08– 1.531), were associated with an increased risk of all-cause mortality. The RCS curves showed a U-shaped relationship between sleep duration and risk of all-cause mortality. Subgroup analyses showed a significant association between poor sleep patterns and all-cause mortality among adults aged 26– 64 years, males, and non-Hispanic whites. Furthermore, multinomial logistic regression identified several predictors associated with short and long sleep durations. Conclusion: Both short and long sleep duration are associated with an increased risk of all-cause mortality, with a U-shaped dose-response relationship. It is imperative to implement appropriate primary prevention strategies aimed at monitoring and providing health education to populations at risk of developing unhealthy sleep patterns. Keywords: sleep duration, mortality, adults, association, NHANES \",\"PeriodicalId\":18896,\"journal\":{\"name\":\"Nature and Science of Sleep\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2024-07-11\",\"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.s469638\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature and Science of Sleep","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/nss.s469638","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

摘要

目的：研究影响睡眠时间的潜在因素，并探讨其与美国成年人死亡风险的关系：研究影响睡眠时间的潜在因素，并探讨其与美国成年人死亡风险的关系：研究对象包括参加2007年至2016年进行的美国国家健康与营养调查（NHANES）的26岁至79岁的成年人。睡眠时间分为三类：短时间（7小时以内）、最佳睡眠时间（7-8小时）和长时间（≥9小时）。利用加权 Cox 回归模型研究了总体人群和亚组人群的睡眠时间与全因死亡率和特定病因死亡率（包括心脏病、肿瘤、脑血管疾病和其他疾病）之间的关系。使用限制性立方样条曲线（RCS）分析探讨了睡眠时间与全因死亡风险之间的剂量-反应关系。此外，还进行了多项式逻辑回归分析，以研究影响成人睡眠时间的潜在因素：研究共纳入 24141 名受试者，人口加权平均年龄为 48.93 岁。超过 30% 的受试者有不健康的睡眠习惯。完全调整模型显示，睡眠时间短（HR=1.169，95% CI 1.027-1.331）和睡眠时间长（HR=1.286，95% CI 1.08-1.531）与全因死亡风险增加有关。RCS曲线显示睡眠时间与全因死亡风险之间呈U形关系。分组分析表明，在 26-64 岁的成年人、男性和非西班牙裔白人中，不良睡眠模式与全因死亡率之间存在显著关联。此外，多项式逻辑回归还发现了一些与睡眠时间长短相关的预测因素：结论：睡眠时间过短和过长都与全因死亡风险的增加有关，两者呈 "U "型剂量-反应关系。当务之急是实施适当的初级预防策略，对有可能形成不健康睡眠模式的人群进行监测并提供健康教育。关键词：睡眠时间；死亡率；成人；关联；NHANES

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Association of Sleep Duration with Risk of All-Cause and Cause-Specific Mortality Among American Adults: A Population-Based Cohort Study

Objective: To examine potential factors affecting sleep duration and explore its association with the risk of mortality among adults in the United States.
Methods: The study population consisted of adults aged 26 to 79 years who participated in the National Health and Nutrition Examination Survey (NHANES) conducted from 2007 to 2016. Sleep duration was classified into three categories: short (< 7 hours), optimal (7– 8 hours), and long (≥ 9 hours). The associations between sleep duration and both all-cause mortality and cause-specific mortality (including heart disease, tumors, cerebrovascular disease, and others) were examined in the overall population and subgroups using weighted Cox regression models. Dose-response associations between sleep duration and risk of all-cause mortality were explored using restricted cubic spline (RCS) analyses. Additionally, a multinomial logistic regression analysis was conducted to investigate potential factors that influence sleep duration in adults.
Results: The study included a total of 24,141 subjects, with a population-weighted mean age of 48.93 years. Over 30% of the subjects exhibited unhealthy sleep habits. Fully adjusted models revealed that both short sleep duration (HR=1.169, 95% CI 1.027– 1.331) and long sleep duration (HR=1.286, 95% CI 1.08– 1.531), were associated with an increased risk of all-cause mortality. The RCS curves showed a U-shaped relationship between sleep duration and risk of all-cause mortality. Subgroup analyses showed a significant association between poor sleep patterns and all-cause mortality among adults aged 26– 64 years, males, and non-Hispanic whites. Furthermore, multinomial logistic regression identified several predictors associated with short and long sleep durations.
Conclusion: Both short and long sleep duration are associated with an increased risk of all-cause mortality, with a U-shaped dose-response relationship. It is imperative to implement appropriate primary prevention strategies aimed at monitoring and providing health education to populations at risk of developing unhealthy sleep patterns.

Keywords: sleep duration, mortality, adults, association, NHANES

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Nature and Science of Sleep Neuroscience-Behavioral Neuroscience

CiteScore

5.70

自引率

5.90%

发文量

245

审稿时长

16 weeks

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.