Evidence map›Paper›PMID 40114989›Full record

ArticleJournal of marriage and the family2025

Intergenerational Associations of Maternal Depression with Daughters' Family Formation.

Emma M Banchoff, William G Axinn, Dirgha J Ghimire, Kate M Scott

Abstract read
In one paragraph

Article in Journal of marriage and the family, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Emma M BanchoffDepartment of Sociology, Institute for Social Research, University of Michigan, Ann Arbor, MI.
William G AxinnInstitute for Social Research, University of Michigan, Ann Arbor, MI.
Dirgha J GhimireInstitute for Social Research, University of Michigan, Ann Arbor, MI.
Kate M ScottDepartment of Psychological Medicine, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand.

Funding

TRAINING IN SOCIAL AND ECONOMIC DEMOGRAPHYT32HD007339 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sarah A. Burgard · 1987 to 2026
$14.9M
Scientific/Technical CoreP2CHD041028 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sarah A. Burgard · 2017 to 2026
$6.5M
Intergenerational Influences on Marriage, Contraception and ChildbearingR01HD099135 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI AXINN, WILLIAM G., SCOTT, KATE MARGARET · 2020 to 2024
$3.1M
NICHD NIH HHS P2C HD041028NICHD NIH HHS R01 HD099135NICHD NIH HHS T32 HD007339
6 · The paper itself

Abstract

Objective: This work investigates the potential associations between maternal major depressive disorder (MDD) and daughters' family formation behaviors, specifically the timing of marriage and first birth. Background: Family and life course research has established the importance of intergenerational ties and linked lives for children's health, education, social life, and transition to adulthood more broadly. However, mothers' MDD has remained a relatively understudied factor shaping young people's family formation behaviors. Method: The analyses used a sample of 1,127 linked mother-father-daughter triads from the Chitwan Valley Family Study (CVFS) in Nepal. Discrete-time event-history models at the month-level were run to assess whether daughters' differential exposure to maternal MDD was prospectively associated with entry into marital unions and parenthood. Results: Although there was no relationship between maternal lifetime MDD and daughters' family formation, results showed that being first exposed to maternal MDD during childhood, specifically between the ages of 0 and 10, increased the monthly odds of transitioning to parenthood by more than 80%. Additional findings showed that an increased pace of getting married was a primary determinant of accelerated childbearing. Conclusion: Daughters' exposure to mothers' depression was associated with daughters' family formation transitions. The timing of exposure, however, was a particularly important driver of that association. We argue that the study of parents' mental ill-health provides untapped opportunity for future intergenerational research.

Indexed as

depressionfamily formationfertilityintergenerational relationshipsmarriagemental health

Identifiers

PMID40114989
PMCPMC11922536

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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.