Evidence map›Paper›PMID 33202688›Full record

ArticleInternational journal of environmental research and public health2020

Predicting Postpartum Depressive Symptoms from Pregnancy Biopsychosocial Factors: A Longitudinal Investigation Using Structural Equation Modeling.

Verónica Martínez-Borba, Carlos Suso-Ribera, Jorge Osma, Laura Andreu-Pejó

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.0field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 21 citations in OpenAlex.

  1. Leveraging Machine Learning to Uncover Ethnic-Specific Predictors of Maternal Postpartum Depression.Prevention science : the official journal of the Society for Prevention Research · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Psychiatric Risk Factors for Postpartum Depression: A Systematic Review.Behavioral sciences (Basel, Switzerland) · 2025
    Review
  6. Article
  7. Observational
  8. Article
  9. Acceptance Mindfulness-Trait as a Protective Factor for Post-Natal Depression: A Preliminary Research.International journal of environmental research and public health · 2022
    Article
  10. Article
  11. Article
  12. States Transitions Inference of Postpartum Depression Based on Multi-State Markov Model.International journal of environmental research and public health · 2021
    Article
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Verónica Martínez-BorbaDepartment of Basic and Clinical Psychology and Psychobiology, Jaume I University, Avda, Vicent Sos Baynat s/n, 12071 Castellon de la Plana, Spain.ORCID 0000-0003-2082-8115
Carlos Suso-RiberaDepartment of Basic and Clinical Psychology and Psychobiology, Jaume I University, Avda, Vicent Sos Baynat s/n, 12071 Castellon de la Plana, Spain.ORCID 0000-0002-2655-1017
Jorge OsmaInstituto de Investigación Sanitaria de Aragón, C/ San Juan Bosco, 13, 50009 Zaragoza, Spain.ORCID 0000-0002-7293-318X
Laura Andreu-PejóInstituto de Investigación Sanitaria de Aragón, C/ San Juan Bosco, 13, 50009 Zaragoza, Spain.ORCID 0000-0002-2944-9878
Universitat Jaume I · ESUniversidad de Zaragoza · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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

Indexed as

DepressionDepression, PostpartumFemaleHumansLatent Class AnalysisLongitudinal StudiesPostpartum PeriodPregnancyProspective Studiesbiopsychosocialdepressive symptomsinformation and communication technologieslongitudinal studiespostpartumpregnancyrisk factors

Identifiers

PMID33202688
PMCPMC7696025
OpenAlexW3102450600

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.