Evidence map›Paper›PMID 35034680›Full record

ArticleDevelopment and psychopathology2023

Within-dyad bidirectional relations among maternal depressive symptoms and child behavior problems from infancy through preschool.

Sarah G Curci, Jennifer A Somers, Laura K Winstone, Linda J Luecken

Abstract read
In one paragraph

Article in Development and psychopathology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  6. Correlates of Impairment and Growth in Families of Young Autistic Children.Journal of autism and developmental disorders · 2025
    Article
  7. Article
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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

4 authors.

Sarah G CurciDepartment of Psychology, Arizona State University, Tempe, AZ, USA.ORCID 0000-0001-9821-9606
Jennifer A SomersDepartment of Psychology, Arizona State University, Tempe, AZ, USA.ORCID 0000-0002-5334-0370
Laura K WinstoneDepartment of Psychology, Arizona State University, Tempe, AZ, USA.ORCID 0000-0003-2867-9767
Linda J LueckenDepartment of Psychology, Arizona State University, Tempe, AZ, USA.ORCID 0000-0001-9383-1986

Funding

Childhood Obesity and Cardiometabolic Health among Impoverished Mexican AmericansR01MD011599 · NIMHD · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI LINDA J LUECKEN, MARISOL PEREZ · 2017 to 2026
$5.0M
Coregulatory Processes and Postpartum Depression in Mexican-AmericansR01MH083173 · NIMH · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI CRNIC, KEITH A, GONZALES, NANCY A. · 2009 to 2013
$4.6M
Emerging Regulatory Capacity in Low-income Mexican American ChildrenR01HD083027 · NICHD · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI CRNIC, KEITH A, GONZALES, NANCY A. · 2014 to 2018
$2.8M
NICHD NIH HHS R01 HD083027NIMHD NIH HHS R01 MD011599NIMH NIH HHS R01 MH083173
6 · The paper itself

Abstract

Although dyadic theory focuses on the impact of a mother's mental health on her own child and the impact of a child's mental health on their own mother, commonly used statistical approaches are incapable of distinguishing the desired within-dyad processes from between-dyad effects. Using autoregressive latent trajectory modeling with structured residuals, the current study evaluated within-dyad, bidirectional associations between maternal depressive symptoms and child behavior problems from child age 1-4.5 years among a sample of low-income, Mexican American women (N = 322,

Indexed as

DepressionProblem BehaviorAdultChildChild BehaviorChild, PreschoolFemaleHumansInfantMother-Child RelationsMothersPovertybidirectionalitychild behavior problemsdepressive symptomsmother–child dyadwithin-dyad

Identifiers

PMID35034680
PMCPMC10989194

What OpenQuestion holds

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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.