Evidence map›Paper›PMID 37021963›Full record

ArticleInfancy : the official journal of the International Society on Infant Studies

Infant externalizing behavior and parent depressive symptoms: Prospective predictors of parental pandemic related distress.

Samantha A Murray, Lijuan Wang, E Mark Cummings, Julia M Braungart-Rieker

Abstract read
In one paragraph

Article in Infancy : the official journal of the International Society on Infant Studies. 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

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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

4 authors.

Samantha A MurrayColorado State University, Fort Collins, Colorado, USA.ORCID 0000-0003-4610-3761
Lijuan WangUniversity of Notre Dame, Notre Dame, Indiana, USA.ORCID 0000-0002-2225-6483
E Mark CummingsUniversity of Notre Dame, Notre Dame, Indiana, USA.
Julia M Braungart-RiekerColorado State University, Fort Collins, Colorado, USA.ORCID 0000-0001-8027-3479

Funding

Efficacy of Family Programs for Improving Child and Family Health and Development.R01HD087319 · NICHD · UNIVERSITY OF NOTRE DAME · PI BRAUNGART-RIEKER, JULIA, CUMMINGS, EDWARD MARK · 2017 to 2021
$3.0M
NICHD NIH HHS R01 HD087319
6 · The paper itself

Abstract

Understanding predictors and effects of the COVID-19 Pandemic is a top-priority in research endeavors. The impact of COVID-19 on all components of family life and mental health cannot be overstated. This study emphasizes the need to investigate predictors of parents' responses to disaster by conceptualizing the depth of the impact of the pandemic using Bronfenbrenner's Bioecological Systems Model. We evaluate parents of infants as the center of the microsystem and discuss the importance of parents' responses to the pandemic for children's development. Specifically, utilizing a prospective design involving a sample of 105 infant-mother-father triads, we test the predictive effects of mothers' and fathers' mental health and infant externalizing behavior assessed prior to the pandemic when infants were 16-months on later pandemic related distress (PRD) approximately 1 year later. Results indicate that for both mothers and fathers, more depressive symptoms during their child's infancy predicted more PRD. Although mothers' reports of more child externalizing behavior significantly predicted more PRD, fathers' reports of externalizing were strongly, positively correlated with their concurrent depressive symptoms but not directly related to PRD. We demonstrate the importance of pre-existing mental health and parents' perceptions of their children's behavior as early as 16 months, in coping with disaster.

Indexed as

COVID-19PandemicsChildDepressionFemaleHumansInfantMothersParents

Identifiers

PMID37021963
PMCPMC13047877

What OpenQuestion holds

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LicenceCC BY-NC
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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.