已发表论文

美国成年人睡眠时间与全因和特定原因死亡风险的关系:一项基于人群的队列研究

 

Authors Gu J , Wu H, Diao W, Ji Y, Li J, Huo J 

Received 10 May 2024

Accepted for publication 28 June 2024

Published 11 July 2024 Volume 2024:16 Pages 949—962

DOI https://doi.org/10.2147/NSS.S469638

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Prof. Dr. Ahmed BaHammam

Jialin Gu,1,2,* Hailan Wu,1,3,* Wanjing Diao,1,* Yi Ji,1 Jianyue Li,1 Jiege Huo1 

1Department of Oncology, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, 210028, People’s Republic of China; 2Department of Traditional Chinese medicine, The First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310009, People’s Republic of China; 3Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210016, People’s Republic of China

*These authors contribute equally to this work

Correspondence: Jiege Huo; Jianyue Li, Department of Oncology, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, 100 Cross Street, Maigaoqiao, Nanjing, Jiangsu, 210028, People’s Republic of China, Email huojiege@jsatcm.com; tnt2vb@126.com

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