Evidence map›Paper›PMID 33423273›Full record

ArticleChild development2021

Individual Differences in the Stability and Change of Childhood Depression: A Growth Mixture Model With Structured Residuals.

Matt Hawrilenko, Katherine E Masyn, Janine Cerutti, Erin C Dunn

Abstract read
In one paragraph

Article in Child development, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. 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.

Matt HawrilenkoUniversity of Washington School of Medicine.ORCID 0000-0001-9556-4391
Katherine E MasynGeorgia, State University.ORCID 0000-0001-5337-1137
Janine CeruttiMassachusetts General Hospital.ORCID 0000-0002-9280-4406
Erin C DunnMassachusetts General Hospital.ORCID 0000-0003-1413-3229

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 G9815508Medical Research Council MC_PC_15018Medical Research Council MC_PC_19009National Institute of Mental Health of the National Institutes of Health 1R01MH113930National Institute of Mental Health of the National Institutes of Health K01MH102403NIMH NIH HHS K01 MH102403NIMH NIH HHS R01 MH113930UK Medical Research Council and the Welcome Trust 102215/2/13/2University of Bristol
6 · The paper itself

Abstract

Studies of developmental trajectories of depression are important for understanding depression etiology. Existing studies have been limited by short time frames and no studies have explored a key factor: differential patterns of responding to life events. This article introduces a novel analytic technique, growth mixture modeling with structured residuals, to examine the course of youth depression in a large, prospective cohort (N = 11,641, ages 4-16.5, 96% White). Age-specific critical points were identified at ages 8 and 13 where depression symptoms spiked for a minority of children. Most depression risk was due to dynamic responses to environmental events, drawn not from a small pool of persistently depressed children, but a larger pool of children who varied across higher and lower symptom levels.

Indexed as

DepressionIndividualityAdolescentChildChild, PreschoolCohort StudiesHumansProspective Studies

Identifiers

PMID33423273
PMCPMC8641557

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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.