Evidence map›Paper›PMID 34035446›Full record

ArticleJournal of perinatology : official journal of the California Perinatal Association2021

Risk factors for postpartum depressive symptoms among mothers of Colorado-born preterm infants.

Connie Truong, Ashley Juhl, Sunah S Hwang

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Article in Journal of perinatology : official journal of the California Perinatal Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Connie TruongDepartment of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA. connie.truong@childrenscolorado.org.ORCID http://orcid.org/0000-0001-5078-7356
Ashley JuhlColorado Department of Public Health and Environment, Denver, CO, USA.
Sunah S HwangDepartment of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA.ORCID http://orcid.org/0000-0002-2661-4049

Funding

Pregnancy Risk Assessment Monitoring System Component A: Core SurveillanceU01DP006197 · DP · COLORADO STATE DEPT/PUB HLTH & ENVIRONMT · PI TOLLIVER, RICKEY · 2016 to 2020
$1.0M
RFA-DP-21-001-Component A [Core Surveillance] Pregnancy Risk Assessment Monitoring System (PRAMS)U01DP006625 · DP · COLORADO STATE DEPT/PUB HLTH & ENVIRONMT · PI TOLLIVER, RICKEY · 2020 to 2025
$1.0M
NCCDPHP CDC HHS U01 DP006197NCCDPHP CDC HHS U01 DP006625
6 · The paper itself

Abstract

objectiveIdentify risk factors of postpartum depressive symptoms (PDS) among preterm infants' mothers. STUDY

designRetrospective cross-sectional analysis of Colorado's Pregnancy Risk Assessment Monitoring System from 2012 to 2018 included weighted n = 33,633 mothers of preterm infants. Multivariate regression models calculated adjusted risk factors of PDS.

resultsPDS risk factors include history of maternal depression (adjusted risk ratio [aRR] 1.98, 95% confidence interval [CI] 1.28-3.05), early preterm birth <34wga (aRR 1.48, 95% CI 1.05-2.08), no prenatal care (aRR 3.19, 95% CI 1.52-6.71), non-Hispanic other (Asian/Pacific Islander, American Indian/Alaskan, or mixed) race/ethnicity (aRR 1.76, 95% CI 1.10-2.82), and pre-pregnancy public insurance (aRR 2.34, 95% CI 1.46-3.76).

conclusionPDS risk factors among Colorado mothers of preterm infants slightly differ from identified risk factors among mothers of term infants. These findings can improve PDS screening and diagnosis so effective therapies and support can be offered during and after NICU hospitalization.

Indexed as

Infant, PrematurePremature BirthColoradoCross-Sectional StudiesDepressionFemaleHumansInfantInfant, NewbornMothersPostpartum PeriodPregnancyRetrospective StudiesRisk Factors

Identifiers

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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.