Files and links (1)
Accepted (AM)Open Access (License Unspecified), Open
Journal article
Sleep Quality in Women With and Without Postpartum Depression
Journal of obstetric, gynecologic, and neonatal nursing, v 37(6), pp 722-737
Nov 2008
PMID: 19012723
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
To compare and measure the effects of sleep quality in women with and without postpartum depression.
A case-control repeated measures matched pairs design.
Home and obstetric office.
Forty-six women who were 6 to 26 weeks postpartum. Two participants were dropped from the final analysis because they were outliers.
Participants underwent wrist actigraphy at home for 7 consecutive days to measure sleep quality. The Postpartum Depression Screening Scale measured depression severity. Psychosocial variables were collected during a screening interview. A structured clinical interview was used to diagnose postpartum depression. Correlations, t tests, and hierarchical multiple regressions were run to analyze data.
With the exception of wake episodes, sleep latency (B=1.80, SE=0.73, p<.05), wake after sleep onset (B=6.85, SE=2.85, p<.05), and thus sleep efficiency (B=−6.31, SE=3.13, p<.05) predicted postpartum depression symptom severity.
Women with postpartum depression experienced poorer sleep quality than women without postpartum depression, and sleep quality worsened with increasing postpartum depression symptom severity. Clinicians need to address measures to improve sleep quality in depressed mothers to decrease symptom severity, and researchers need to develop interventions to facilitate better sleep quality in women with postpartum depression.
Metrics
Details
- Title
- Sleep Quality in Women With and Without Postpartum Depression
- Creators
- Bobbie Posmontier - Drexel University College of Nursing and Health Professions
- Publication Details
- Journal of obstetric, gynecologic, and neonatal nursing, v 37(6), pp 722-737
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- [Retired Faculty]
- Web of Science ID
- WOS:000260740100015
- Scopus ID
- 2-s2.0-56149112310
- Other Identifier
- 991019173723104721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Nursing
- Obstetrics & Gynecology