Evidence map›Paper›PMID 36094018›Full record

ArticleJournal of child psychology and psychiatry, and allied disciplines2023

Testing lifecourse theories characterising associations between maternal depression and offspring depression in emerging adulthood: the Avon Longitudinal Study of Parents and Children.

Rebecca E Lacey, Dawid Gondek, Brooke J Smith, Andrew D A C Smith, Erin C Dunn, Amanda Sacker

Open access · hybridFull text held, restricted
In one paragraph

Article in Journal of child psychology and psychiatry, and allied disciplines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 21% of its field
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 synthesis or guideline pooled it, 14 citations in OpenAlex.

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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

6 authors at 4 institutions in 2 countries.

Rebecca E LaceyResearch Department of Epidemiology and Public Health, University College London, London, UK.ORCID 0000-0002-3510-0795
Dawid GondekResearch Department of Epidemiology and Public Health, University College London, London, UK.
Brooke J SmithPsychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Andrew D A C SmithMathematics and Statistics Research Group, University of the West of England, Bristol, UK.
Erin C DunnPsychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Amanda SackerResearch Department of Epidemiology and Public Health, University College London, London, UK.
University College London · GBBroad Institute · USMassachusetts General Hospital · USUniversity of the West of England · GB

Funding

Childhood adversity, DNA methylation, and risk for depression: A longitudinal study of sensitive periods in developmentR01MH113930 · NIMH · PURDUE UNIVERSITY · PI Erin Cathleen Dunn · 2017 to 2026
$6.6M
Genes, early adversity, and sensitive periods in social-emotional developmentK01MH102403 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI DUNN, ERIN CATHLEEN · 2014 to 2017
$710k
Medical Research Council 092731NIMH NIH HHS K01 MH102403NIMH NIH HHS R01 MH113930Wellcome TrustWellcome Trust 092731Wellcome Trust 217065/Z/19/Z
6 · The paper itself

Abstract

backgroundMaternal depression is a major determinant of offspring mental health. Yet, little is understood about how the duration and timing of maternal depression shapes youth risk for depressive symptoms, which if understood could inform when best to intervene. This study aimed to determine how the timing and duration of maternal depression was related to offspring depression in emerging adulthood, and if these associations varied by sex.

methodsWe analysed data from the Avon Longitudinal Study of Parents and Children (a prenatal cohort in the Avon area of England, 1991-2003), n = 3,301. We applied the structured lifecourse modelling approach to maternal depression (assessed at 13 points from prenatal period to adolescence) and emerging adult depressive symptoms (age 21). Lifecourse models assessed were accumulation (sum of timepoints when maternal depression was reported), sensitive periods (each period assessed as one during which maternal depression has a stronger effect) and instability (frequent fluctuations in maternal depression).

resultsFemale adolescents (n = 2,132) had higher SMFQ scores (mean = 6.15, SD = 5.90) than males (n = 1,169, mean = 4.87, SD = 4.82). Maternal depression was most common in the infancy period (21.2% males; 21.4% females). For males, accumulation was the most appropriate lifecourse model; for each additional period of maternal depression, depressive symptoms in emerging adulthood increased by 0.11 (95% CI: 0.07, 0.15, one-sided p value ≤ .001). For females, exposure to maternal depression was associated with increasing depressive symptoms in emerging adulthood, with the largest effect in mid-childhood (increase of 0.27 units, 95% CI 0.03-0.50, p = .015 for difference between mid-childhood and other time-periods) and a smaller, equal effect at all other time-periods (increase of 0.07 units per time-period, 95% CI: 0.03-0.12, p = .002).

conclusionsThis study highlights the importance of ongoing maternal depression for the development of depression in offspring through to emerging adulthood. Because long-term exposure to maternal depression was particularly important, early interventions are warranted.

Indexed as

DepressionParentsAdolescentAdultChildEnglandFemaleHumansLongitudinal StudiesMalePregnancyYoung AdultaccumulationALSPACdepressiondepressive symptomslifecoursesensitive periods

Identifiers

PMID36094018
PMCPMC10008452
OpenAlexW4295242265

What OpenQuestion holds

Textfull text, restricted
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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.