Sleep-wake changes and incident depressive symptoms in midlife women.

Jing Luo, Song Lin
Author Information
  1. Jing Luo: School of Rehabilitation, Jiangsu College of Nursing, Huaian, 223003, Jiangsu, China.
  2. Song Lin: Department of Clinical Nutrition, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huaian, 223300, Jiangsu, China. linsongfood@163.com.

Abstract

Our study aimed to investigate the relationship between sleep-wake changes and depressive symptoms events among midlife women. We enrolled 1579 women aged 44-56 years who had no clinically relevant depressive symptoms at baseline. Depressive symptoms were assessed at each visit using the Center for Epidemiologic Studies Depression scale. At the third and fourth follow-up visits, women reported their sleep habits. The sleep midpoint was defined as the time to fall asleep plus one-half of the sleep duration. Sleep-wake changes were determined by the difference in the midpoint of sleep between the third and fourth visits, which were 1 year apart. The median follow-up time was 7 years (range 1-7 years). Cox proportional hazard models were fitted to calculate hazard ratios and 95% confidence intervals for the incidence of depressive symptoms associated with sleep-wake changes. After adjusting for potential confounding factors, the hazard ratio (95% confidence interval) of depressive symptoms for severe sleep midpoint changes was 1.51 (1.12, 2.05) compared with mild sleep midpoint changes. This relationship remained statistically significant and changed little when additionally controlling for sleep duration, sleep quality, insomnia symptoms, use of sleep medications, use of nervous medications, glucose, insulin, lipids, dietary energy intake, and C-reactive protein. Our findings indicate that exposure to long-term severe sleep-wake changes increases the risk of depressive symptoms in midlife women.

Keywords

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Grants

  1. JSSCBS20211625/The Innovation and Entrepreneurship Program of Jiangsu Province
  2. NMUB2020142/The Science and Technology Development Fund Project of Nanjing Medical University

MeSH Term

Humans
Female
Middle Aged
Depression
Adult
Sleep
Incidence
Proportional Hazards Models
Sleep Quality
Wakefulness
Risk Factors
Sleep Initiation and Maintenance Disorders

Word Cloud

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