Evidence map›Paper›PMID 32725101›Full record

ArticleRevista brasileira de psiquiatria (Sao Paulo, Brazil : 1999)2020

Partner relationship quality predicts later postpartum depression independently of the chronicity of depressive symptoms.

Alexandre Faisal-Cury, Karen Tabb, Alicia Matijasevich

Abstract read
In one paragraph

Article in Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

  1. Observational
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  4. Stability and change in maternal wellbeing and illbeing from pregnancy to three years postpartum.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
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  13. Advancing research and practice in perinatal mental health.Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999) · 2021
    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

3 authors.

Alexandre Faisal-CuryDepartamento de Medicina Preventiva, Faculdade de Medicina, Universidade de São Paulo (USP), São Paulo, SP, Brazil.
Karen TabbSchool of Social Work, University of Illinois at Urbana-Champaign, Urbana, IL, USA.ORCID http://orcid.org/0000-0002-4722-9502
Alicia MatijasevichDepartamento de Medicina Preventiva, Faculdade de Medicina, Universidade de São Paulo (USP), São Paulo, SP, Brazil.

Funding

NIMHD NIH HHS L60 MD008481
6 · The paper itself

Abstract

objectiveGiven the lifelong implications of extended postpartum depression (PPD), research is needed to examine the social factors implicated in its development (such as relationship quality) and associated predictors. This study sought to examine the association of partner relationship quality (PRQ) and decline of sexual life (DSL) with maternal PPD at 12-15 months after childbirth.

methodsProspective study of 294 low-income postpartum women. A structured questionnaire and the Patient Health Questionnaire-9 (PHQ-9) captured responses for the main outcome variable and covariates.

resultsThe prevalence of the main outcome (PPD at 12-15 months) was 19.1%. Using logistic regression models, low PRQ (risk ratio [RR] = 1.58, 95%CI 1.01-2.49) and DSL (RR = 1.97, 95%CI 1.23-3.15) were associated with PPD at 12-15 months even after controlling for perinatal depression.

conclusionsLate PPD (12 to 15 months after giving birth) is very common among low-income women, and is independently associated with different aspects of the couple's relationship. Improving PRQ may prevent late PPD. Future investigations are warranted.

Indexed as

Depression, PostpartumDepressionFemaleHumansPostpartum PeriodPregnancyPrevalenceProspective StudiesRisk Factors

Identifiers

PMID32725101
PMCPMC7861178

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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.