Evidence map›Paper›PMID 34608698›Full record

ArticleJournal of clinical nursing2022

Prenatal predictors of postpartum depression trajectories from birth to 24 months amongst smoking women.

Seth Frndak, Samie Syed, Julian Saleh, Megan Kocher, Xiaozhong Wen

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical nursing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact, top 81% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 0 citations in OpenAlex.

  1. Pooled it
  2. 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

5 authors at 2 institutions in 1 country.

Seth FrndakDepartment of Epidemiology and Environmental Health, The State University of New York at Buffalo, New York, USA.
Samie SyedDivision of Behavioral Medicine, Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, New York, USA.
Julian SalehDivision of Behavioral Medicine, Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, New York, USA.
Megan KocherDivision of Behavioral Medicine, Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, New York, USA.
Xiaozhong WenDivision of Behavioral Medicine, Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, New York, USA.ORCID https://orcid.org/0000-0002-7721-8353
Jacobs Institute · USUniversity at Buffalo, State University of New York · US

Funding

University of Buffalo Clinical and Translational Science Institute - Supplement SchulyerUL1TR001412 · NCATS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI MURPHY, TIMOTHY F · 2015 to 2024
$33.8M
Postpartum Smoking Relapse Prevention by Breastfeeding Promotion -R21HD091515 · NICHD · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI WEN, XIAOZHONG · 2018 to 2020
$459k
NCATS NIH HHS UL1 TR001412NICHD NIH HHS R21 HD091515NIH HHS R21HD091515NIH HHS UL1TR001412U.S. Department of Health and Human Services R40MC31880
6 · The paper itself

Abstract

AIMS AND

objectivesWe aimed to identify postpartum depression (PPD) trajectories and examine relevant predictors amongst smoking women.

backgroundPPD can adversely affect families. Predictors of PPD trajectories amongst smoking women are understudied.

designLongitudinal cohort study.

methodsA cohort of 49 U.S. women (current or ex-smoking) completed the Edinburgh Postnatal Depression Scale from birth to 24 months postpartum. Latent class growth modelling was used to identify PPD trajectories. Predictors of PPD trajectories were identified, adjusting for confounders. Effect modification by prenatal Patient Health Questionnaire (PHQ) depression score was also assessed. STROBE guidelines were followed in reporting results.

resultsThree PPD trajectories were identified: non-PPD, transient PPD and chronic PPD. In multinomial logistic regression, social support was associated with lower odds of membership in the chronic PPD trajectory compared to non-PPD trajectory: being married or having a partner sharing resources (odds ratio OR = .14 [.02, .85], p-value = .03), greater partner support (OR = .87 [.77, .98], p-value = .02) and greater family/friends support (OR = .53 [.34, .82], p-value = .004). Transient PPD showed no differences with non-PPD on any predictors. In ordinal logistic regression models, social support was associated with lower odds of membership in a more severe PPD depression trajectory when prenatal PHQ depression score was in the low range (being married or having a partner sharing resources: p for effect modification = .06; partner support: p for effect modification = .05; and family/friends support: p for effect modification = .005). RELEVANCE TO CLINICAL PRACTICE: Compared to the general population, chronic PPD trajectories were more common amongst smoking women. Social support was an important predictor of more severe PPD trajectories, especially when prenatal depression is low.

conclusionOur findings indicated that social support might decrease likelihood of severe PPD trajectories, especially when prenatal depression was low. Relevant predictors of transient PPD remained elusive.

Indexed as

Depression, PostpartumFemaleHumansLongitudinal StudiesPregnancyRisk FactorsSmokingpostpartum depressionsmoking womensocial supporttrajectories

Identifiers

PMID34608698
PMCPMC8977392
OpenAlexW3204310982

What OpenQuestion holds

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Registered trials

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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.