Predicting Postpartum Depressive Symptoms from Pregnancy Biopsychosocial Factors: A Longitudinal Investigation Using Structural Equation Modeling.
biopsychosocial
depressive symptoms
information and communication technologies
longitudinal studies
postpartum
pregnancy
risk factors
Journal
International journal of environmental research and public health
ISSN: 1660-4601
Titre abrégé: Int J Environ Res Public Health
Pays: Switzerland
ID NLM: 101238455
Informations de publication
Date de publication:
14 11 2020
14 11 2020
Historique:
received:
23
09
2020
revised:
27
10
2020
accepted:
12
11
2020
entrez:
18
11
2020
pubmed:
19
11
2020
medline:
7
2
2021
Statut:
epublish
Résumé
The prediction of postpartum depression (PPD) should be conceptualized from a biopsychosocial perspective. This study aims at exploring the longitudinal contribution of a set of biopsychosocial factors for PPD in perinatal women. A longitudinal study was conducted, assessment was made with a website and included biopsychosocial factors that were measured during pregnancy (n = 266, weeks 16-36), including age, affective ambivalence, personality characteristics, social support and depression. Depression was measured again at postpartum (n = 101, weeks 2-4). The analyses included bivariate associations and structural equation modeling (SEM). Age, affective ambivalence, neuroticism, positive, and negative affect at pregnancy were associated with concurrent depression during pregnancy (all
Identifiants
pubmed: 33202688
pii: ijerph17228445
doi: 10.3390/ijerph17228445
pmc: PMC7696025
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
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