Evidence map›Paper›PMID 41729444›Full record

ArticleChild psychiatry and human development2026

Family Factors Associated with Adolescent Internalizing Symptoms: Longitudinal Findings from the ABCD Study.

Kobe L Huynh, Ryan J Zamora, Grace C George, Jennie M Kuckertz, Gabriela Kovarsky Rotta, Courtney Beard, Alessandro S De Nadai

Abstract read
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Article in Child psychiatry and human development, 2026. 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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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Kobe L HuynhMcLean Hospital, Belmont, MA, USA.
Ryan J ZamoraMcLean Hospital, Belmont, MA, USA.
Grace C GeorgeMcLean Hospital, Belmont, MA, USA.
Jennie M KuckertzMcLean Hospital, Belmont, MA, USA.
Gabriela Kovarsky RottaMcLean Hospital, Belmont, MA, USA.
Courtney Beard *McLean Hospital, Belmont, MA, USA.
Alessandro S De Nadai *McLean Hospital, Belmont, MA, USA. adenadai@mclean.harvard.edu.

Funding

Parent interpretation bias as a key mechanism of intergenerational transmission of anxietyR01MH129374 · NIMH · MCLEAN HOSPITAL · PI Courtney Beard Elias · 2023 to 2026
$3.2M
Impact of prescription stimulants on the drug overdose epidemicR01DA058315 · NIDA · MCLEAN HOSPITAL · PI Alessandro Stevens De Nadai · 2023 to 2026
$3.0M
Leveraging Machine Learning Approaches to Understand Mechanisms of Exposure Therapy in Real-World SettingsR01MH135899 · NIMH · SAN DIEGO STATE UNIVERSITY · PI Jennie M Kuckertz · 2024 to 2026
$2.3M
Personalized Quality of Life MeasurementR01MH137075 · NIMH · MCLEAN HOSPITAL · PI Alessandro Stevens De Nadai · 2024 to 2026
$1.6M
NIDA NIH HHS R01DA058315NIMH NIH HHS R01MH129374NIMH NIH HHS R01MH135899NIMH NIH HHS R01MH137075
6 · The paper itself

Abstract

Family factors, such as parental symptomatology and parenting behaviors, are related to adolescent internalizing symptoms. Yet fewer studies have evaluated how family factors relate to the emergence of internalizing symptoms during the pubertal transition with large-scale longitudinal data. The present study addressed this issue using data from the Adolescent Brain Cognitive Development Study in adolescents who were prepubertal at baseline and had manifested puberty at 4-year follow-up (N = 2,276). Participants completed the Child Behavior Checklist (CBCL), Adult Self Report (ASR), Child Report of Parenting Behavior Inventory (CRPBI), Parental Monitoring Survey (PMQ), and Family Environment Scale (FES). Structural equation modeling revealed that higher levels of parent internalizing symptoms and parent-reported family conflict at baseline were associated with higher levels of adolescent internalizing symptoms at the 4-year follow-up. Higher baseline parental monitoring was associated with lower adolescent internalizing symptoms at the 4-year follow-up. Baseline parental acceptance and youth-reported family conflict were not related to adolescent internalizing symptoms. Adolescent sex did not moderate any associations in our models. Our results offer insights into how research, prevention, and intervention strategies can be developed to address the development of adolescent internalizing psychopathology.

Indexed as

AdolescenceParentingPsychopathologyPuberty

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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.