Evidence map›Paper›PMID 24752314›Full record

ArticleMaternal and child health journal2014

Intendedness of pregnancy and other predictive factors for symptoms of prenatal depression in a population-based study.

Jena L Fellenzer, Donald A Cibula

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Article in Maternal and child health journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 5 pooled it
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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

40 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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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

2 authors.

Jena L FellenzerDepartment of Public Health and Preventive Medicine, SUNY Upstate Medical University, 760 Irving Avenue, 2263 Weiskotten Hall, Syracuse, NY, 13210, USA.
Donald A Cibula

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prenatal depression (PD) as a risk factor for adverse birth outcomes is well documented. Less is known about maternal risks for PD, which could inform preventive strategies for perinatal and interconceptional care. This exploratory study investigates associations between prenatal depression symptoms and unintended and mistimed pregnancies and other maternal risk factors for PD. A subset of birth records from the New York Statewide Perinatal Data System (n = 19,219) was used in this secondary analysis of cross-sectional data. Univariate and multivariate multinomial regression was used to identify factors that are independently associated with four self-reported levels of prenatal depression symptoms. Women with unintended pregnancies were more likely (AOR, 95 % CI) to report severe (3.6, 2.6-5.1) or moderate (2.0, 1.6-2.5) prenatal depression symptoms and less likely to report no symptoms, compared to women with intended pregnancies. Likewise, women with mistimed pregnancies were more likely to report severe (2.7, 2.2-3.5) or moderate (1.7, 1.5-2.1) prenatal depression symptoms than no symptoms, compared to women with intended pregnancies. Low education, drug use, smoking, minority race, being unmarried and having Medicaid insurance were also significant, independent predictors of PD symptoms. Results suggest that routine screening for depression, intendedness of pregnancy and other associated risk factors such as smoking and drug use during prenatal and interconceptional care visits may enable coordinated interventions that can reduce prenatal depression and unintended and mistimed pregnancies and improve pregnancy outcomes.

Indexed as

Maternal BehaviorPopulation SurveillancePrenatal CareAdultCross-Sectional StudiesDepressionFemaleHealth BehaviorHumansNew YorkPregnancyPregnancy OutcomePregnancy, UnplannedPregnancy, UnwantedPrevalenceRisk Factors

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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.