Please use this identifier to cite or link to this item: https://doi.org/10.1371/journal.pone.0188365
Title: Sociodemographic, obstetric characteristics, antenatal morbidities, and perinatal depressive symptoms: A three-wave prospective study
Authors: Lau Y. 
Htun T.P. 
Kwong H.K.D.
Keywords: adult
Article
demography
disease association
Edinburgh Postnatal Depression Scale
female
headache
human
longitudinal study
major clinical study
perinatal depression
perinatal morbidity
perinatal period
pregnancy
pregnancy diabetes mellitus
prospective study
puerperium
second trimester pregnancy
single parent
social aspect
structural equation modeling
third trimester pregnancy
unplanned pregnancy
adolescent
complication
depression
Macao
pregnancy
pregnancy complication
risk factor
socioeconomics
young adult
Adolescent
Adult
Demography
Depression
Female
Humans
Macau
Pregnancy
Pregnancy Complications
Prospective Studies
Risk Factors
Socioeconomic Factors
Young Adult
Issue Date: 2018
Publisher: Public Library of Science
Citation: Lau Y., Htun T.P., Kwong H.K.D. (2018). Sociodemographic, obstetric characteristics, antenatal morbidities, and perinatal depressive symptoms: A three-wave prospective study. PLoS ONE 13 (2) : e0188365. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pone.0188365
Abstract: Objectives This study aimed (1) to investigate the pattern of perinatal depressive symptoms, and (2) to determine the relationships between sociodemographic characteristics, obstetric factors, antenatal morbidities, postnatal conditions, and perinatal depressive symptoms using a structural equation model (SEM). Method A three-wave prospective longitudinal design was used for 361 women in their second trimester, third trimester, and at six weeks postpartum. The Edinburgh Postnatal Depression Scale (EPDS) was used to assess the depressive symptoms. Results The intensity of depressive symptoms was the highest in the second trimester among the three waves. The SEM showed that unmarried status, unplanned pregnancy, gestational diabetes, and headache were significantly associated with EPDS in the first and second waves. The EPDS in the first wave was able to predict the EPDS in the second and third waves. The SEM has satisfactorily fit with the data (chi-square/degree of freedom = 1.42, incremental fit index = 0.91, Tucker-Lewis index = 0.90, comparative fit index = 0.91, and root mean square error of approximation = 0.03). Conclusion The findings highlight the significance of monitoring depressive symptoms in the second trimester. Findings from this study could be useful in the design of effective intervention among women with unmarried status, unplanned pregnancy, gestational diabetes, and headache in order to reduce risk of perinatal depressive symptoms. © 2018 Lau et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Source Title: PLoS ONE
URI: https://scholarbank.nus.edu.sg/handle/10635/165910
ISSN: 19326203
DOI: 10.1371/journal.pone.0188365
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