Skip to main navigation Skip to search Skip to main content

Depression and sleep duration: findings from middle-aged and elderly people in China

  • Peng Ouyang*
  • , Wenjun Sun
  • *Corresponding author for this work
  • School of Management, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Objective: This study aims to investigate whether depression is associated with subsequent sleep duration among middle-aged and elderly people in China. Study design: Cross-sectional study. Methods: Data were obtained from the China Health and Retirement Longitudinal Study (CHARLS). Depression was evaluated from the 2011 baseline survey data using the Chinese version of the Center for Epidemiologic Studies Depression scale (CES-D). All other data were extracted from CHARLS 2013 survey data. Sleep duration was assessed according to the American National Sleep Foundation. Participants were divided into subgroups based on their gender (male or female) and age (45–59 years [middle-aged] or ≥60 years [elderly people]). The relative risk ratios (RRRs) were calculated using the multinomial logistic regression analysis method. Results: No significant associations were found between depression and subsequent long sleep duration among middle-aged and elderly people in China; in addition, no association was found during subgroup analysis. The adjusted RRR (RRR = 1.71; 95% confidence interval [CI] = 1.56–1.88) shows there is a significant association between depression and subsequent short sleep duration among subgroups. The RRR of the male, female, middle-aged, and elderly people were 1.64 (95% CI=1.38–1.95), 1.74 (95% CI=1.56–1.95), 1.68 (95% CI = 1.47–1.92), 1.74 (95% CI = 1.52–1.99), respectively, which revealed that this association was still significant in subgroups. Conclusions: Findings from this study suggest that there is a complex association between depression and subsequent alternations in sleep duration among middle-aged and elderly people in China.

Original languageEnglish
Pages (from-to)148-154
Number of pages7
JournalPublic Health
Volume166
DOIs
StatePublished - Jan 2019
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • CES-D
  • CHARLS
  • Depression
  • Sleep alteration
  • Sleep duration

Fingerprint

Dive into the research topics of 'Depression and sleep duration: findings from middle-aged and elderly people in China'. Together they form a unique fingerprint.

Cite this