353
Views
1
CrossRef citations to date
0
Altmetric
Research Articles

Mental health profiles of women at high-risk for postpartum depression: a latent profile analysis

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 239-259 | Published online: 04 Jan 2023
 

Abstract

Understanding the heterogeneity of risk to Postpartum Depression (PPD) is of clinical and public health relevance, bearing in mind that symptom patterns are core therapeutic targets. Therefore, this study aimed to (1) ascertain mental health symptom profiles in women at high-risk for PPD, and (2) determine group differences in symptom configuration by cognitive-interpersonal variables. The sample for this study included 1013 postpartum women, who were identified as being at high-risk for PPD during the first three to four months postpartum. A Latent Profile Analysis (LPA) was performed to determine the number of mental health profiles. Significant mean differences on covariates across profiles were also tested, using the BCH approach. Results from the LPA revealed three profiles: (1) “Moderate Mental Health” (moderate depression/anxiety, moderate positive mental health); (2) “Good Mental Health” (low psychopathology, high positive mental health); and (3) “Impaired Mental Health” (high depression/anxiety, low positive mental health). These three profiles differed significantly by levels of emotion regulation, psychological flexibility, maternal self-efficacy, and partner relationship satisfaction. Altogether, these findings provide crucial evidence for three heterogeneous patterns of mental health symptoms in women at high-risk for PPD. This clinical variability stresses the relevance of taking symptom constellations into account for personalized prevention and treatment.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The data that support the findings of this study are available from the corresponding author, upon reasonable request.

Additional information

Funding

This study was supported by the Center for Research in Neuropsychology and Cognitive and Behavioral Intervention (CINEICC)—University of Coimbra [UIDB/PSI/00730/2020]. This project was co-funded by the European Regional Development Fund (FEDER), through the Portugal-2020 program [PT2020], under the Centre’s Regional Operational Program [CENTRO-01-0145-FEDER-028699], and by the Portuguese Foundation for Science and Technology/MCTES through national funds (PIDDAC).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 571.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.