Trajectories of sleep quality and depressive symptoms in women from pregnancy to 3 months postpartum: a prospective cohort study

Author:

Lin‐Lewry Marianne1,Tzeng Ya‐Ling2,Li Chieh‐Chen2,Lee Gabrielle T.3,Lee Pi‐Hsia1,Chen Su‐Ru4,Kuo Shu‐Yu1ORCID

Affiliation:

1. School of Nursing, College of Nursing Taipei Medical University Taipei Taiwan

2. School of Nursing, College of Health Care China Medical University Taichung Taiwan

3. Applied Psychology, Faculty of Education Western University London Ontario Canada

4. School of Nursing, School of Post‐Baccalaureate Nursing, College of Nursing Taipei Medical University Taipei Taiwan

Abstract

SummarySleep quality and depression during pregnancy often affect women's adaptation to motherhood and are linked with adverse maternal and neonatal outcomes. Using a prospective cohort study comprising 190 pregnant women in central Taiwan, we investigated the trajectories of sleep quality and depressive symptoms and their associated predictors in perinatal women from pregnancy to postpartum. Sleep and depressive symptoms were assessed using the Pittsburgh Sleep Quality Index and the Edinburgh Postnatal Depression Scale, respectively, from mid‐pregnancy to 3 months postpartum. We used group‐based trajectory modelling and logistic regression modelling to analyse the data collected from the structured questionnaires. Pregnant women (50.5% primipara) with a mean (standard deviation) age of 32.3 (4.1) years were included. We identified three distinctive classes of sleep quality trajectories during the perinatal period: ‘stable good’ (18.4%), ‘increasing poor’ (48.9%), and ‘stable poor’ (32.6%). We further detected three stable trajectories of depressive symptoms: ‘stable low’ (36.3%), ‘stable mild’ (42.1%), and ‘stable high’ (21.6%). A significant association between sleep quality and depression trajectories was evident (p < 0.001). High fatigue symptoms and low social support predicted the high trajectories of poor sleep and depressive symptoms. Distinctive dynamic sleep quality and stable depression trajectories were characterised. Our findings revealed that both the sleep and depression trajectories were closely associated with one another, with common predictors of fatigue symptoms and social support. The early assessment of maternal sleep and depression status is important for identifying at‐risk women and initiating interventions tailored to perinatal women to improve their sleep and mental health.

Funder

National Science Council

Publisher

Wiley

Subject

Behavioral Neuroscience,Cognitive Neuroscience,General Medicine

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