Evidence map›Paper›PMID 42095857›Full record

ArticleJournal of psychopathology and clinical science2026

Transactional relations between attentional biases for affective stimuli and depressive symptoms in offspring of mothers with and without major depressive disorder.

Kelly A Gair, Leslie A Brick, Brandon E Gibb

Abstract read
In one paragraph

Article in Journal of psychopathology and clinical science, 2026. 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

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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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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.

Kelly A GairDepartment of Psychology, Binghamton University, State University of New York (SUNY).ORCID 0009-0007-2519-9756
Leslie A BrickDepartment of Psychology, University of New Mexico.ORCID 0000-0002-1877-2493
Brandon E GibbDepartment of Psychology, Binghamton University, State University of New York (SUNY).ORCID 0000-0002-9482-067X

Funding

Attentional Biases for Affective Cues as a Mechanism of Risk in Children of Depressed MothersR01MH130397 · NIMH · STATE UNIVERSITY OF NY,BINGHAMTON · PI Brandon E Gibb · 2022 to 2026
$3.5M
Pathways to Depression in Children of Depressed MothersR01HD057066 · NICHD · STATE UNIVERSITY OF NY,BINGHAMTON · PI GIBB, BRANDON E · 2009 to 2013
$2.1M
National Institute of Child Health and Human DevelopmentNICHD NIH HHS R01 HD057066NIMH NIH HHSNIMH NIH HHS R01 MH130397
6 · The paper itself

Abstract

Attentional biases toward depression-relevant stimuli (e.g., sad faces) are thought to contribute to the development and maintenance of depression, but research in youth is limited and primarily cross-sectional. Therefore, it remains unclear whether such biases are risk factors for, versus consequences of, depression (or both), and whether these links may be stronger among youth already at risk for depression due to a family history of the disorder. To address these questions, the present multiwave longitudinal study followed 242 mothers and their offspring (ages 8-14; 51.65% girls, 81.40% non-Hispanic White) over 2 years with assessments every 6 months (five assessments total) to examine prospective relations between attentional biases (measured via a dot-probe eye-tracking task) and depressive symptoms in youth. Of the mothers, 123 had a history of major depressive disorder (MDD) during their child's life and the rest had no lifetime history of MDD. Using random intercepts cross-lagged panel models, we found that depressive symptoms predicted prospective changes in attentional biases, but not the reverse, and the pattern of attentional bias change differed based on maternal history of MDD. Specifically, among offspring of mothers with MDD, higher depressive symptoms at a given assessment predicted future increases in attentional bias to sad faces, whereas among offspring of never depressed mothers, higher depressive symptoms predicted subsequent decreases in attentional bias to happy faces. These findings suggest that experiences of depression may contribute to different patterns of attention to emotional cues based on maternal history of MDD. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

Indexed as

Attentional BiasChild of Impaired ParentsDepressionMajor Depressive DisorderMothersAdolescentAdultChildFemaleHumansLongitudinal StudiesMale

Identifiers

PMID42095857
PMCPMC13155365

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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.