Content area

Abstract

The purpose of this study was to reveal the cross-sectional and longitudinal association of sleep with depression and anxiety among Chinese pregnant women. Pregnant women were recruited in Zhoushan Pregnant Women Cohort at Zhoushan Maternal and Child Care Hospital from 2011 to 2015. Self-rating depression scales (SDS) and self-rating anxiety scales (SAS) were used for evaluating depression and anxiety status at each trimester; corresponding sleep quality and duration were reported by pregnant women. Ordinary or multilevel linear and logistic regression model were used to estimate the cross-sectional or longitudinal association of sleep with depression and anxiety. The prevalence rates were 35.64, 24.23, and 26.24% for depression and 22.57, 17.41, and 21.04% for anxiety at 1st (T1), 2nd (T2), and 3rd trimester (T3), respectively. Controlling for potential confounders, it revealed significant cross-sectional and longitudinal associations of sleep with depression and anxiety status. In cross-sectional analysis, women who slept less than 8 h/day had higher risk of depression (T1: OR (95%CI) = 1.75 (1.39, 2.20); T2: 1.52 (1.26, 2.05); T3: 1.60 (1.18, 2.05)) and anxiety (T1: 2.00 (1.57, 2.55); T2: 1.86 (1.37, 2.54); T3: 1.33 (0.99, 1.79)). In the longitudinal analysis, multilevel model revealed that women with subjective “fair” or “bad” sleep quality had elevated risk of depression (OR ranging from 1.54 to 3.71) and anxiety (2.38 to 7.53) during pregnancy. Prenatal depression and anxiety status were prevalent in pregnant women. Sleep quality was associated with depression and anxiety status in both cross-sectional and longitudinal analyses, implying that improving sleep quality should benefit for mental health of pregnant women.

Details

Title
Sleep was associated with depression and anxiety status during pregnancy: a prospective longitudinal study
Author
Yu, Yunxian 1 ; Li, Minchao 1 ; Pu, Liuyan 2 ; Wang, Shuojia 1 ; Wu, Jinhua 2 ; Ruan, Lingli 2 ; Jiang, Shuying 1 ; Wang, Zhaopin 1 ; Jiang, Wen 2 

 Department of Epidemiology and Health Statistics, School of Public Health, School of medicine, Zhejiang University, Hangzhou, Zhejiang, China 
 Zhoushan Maternal and Child Care Hospital, Zhoushan, Zhejiang, China 
Pages
695-701
Publication year
2017
Publication date
Oct 2017
Publisher
Springer Nature B.V.
ISSN
14341816
e-ISSN
14351102
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1938626721
Copyright
Archives of Women's Mental Health is a copyright of Springer, 2017.