Evidence map›Paper›PMID 40167867›Full record

ArticleChild psychiatry and human development2025

Trajectories of Psychopathology Among Youth with Physical Illness.

Megan Dol, Dillon Browne, Christopher M Perlman, Mark A Ferro

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Article in Child psychiatry and human development, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Megan DolSchool of Public Health Sciences, University of Waterloo, 200 University Avenue West, Waterloo, ON, N2L 3G1, 905-717-8761, Canada. m2dol@uwaterloo.ca.
Dillon BrowneDepartment of Psychology, University of Waterloo, Waterloo, ON, Canada.
Christopher M PerlmanSchool of Public Health Sciences, University of Waterloo, 200 University Avenue West, Waterloo, ON, N2L 3G1, 905-717-8761, Canada.
Mark A FerroSchool of Public Health Sciences, University of Waterloo, 200 University Avenue West, Waterloo, ON, N2L 3G1, 905-717-8761, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objectives of this study were to characterize 24-month trajectories of psychopathology, validate psychopathology groups, and identify youth, parent, family, and neighbourhood characteristics associated with each identified trajectory in a sample of youth with chronic physical illness (CPI). Data come from a longitudinal study of 263 youth aged 2-16 years diagnosed with CPI and their parents. Participants were recruited from outpatient clinics at a pediatric hospital in Canada and assessed at recruitment (baseline), 6, 12, and 24 months. Parents reported on youth psychopathology using the Emotional Behavioural Scales. Latent class growth analysis was used to identify trajectories of psychopathology. Baseline predictors of trajectory group membership were investigated using multinomial logistic regression. Three distinct psychopathology trajectories best fit the data; the model had a BIC of -3579.70 and average posterior probabilities of 0.97. The trajectories were classified as, low-stable (LS: n = 156, 58%), moderate-decreasing (MD: n = 85, 34%), and high-decreasing (HD: n = 21, 8%). Youth who were older [HD: OR = 1.33 (1.05, 1.69)], had higher disability scores [HD: OR = 1.31 (1.19, 1.45) and MD: OR = 1.14 (1.08, 1.21)], had parents with greater psychological distress scores [HD: OR = 1.11 (1.05, 1.18) and MD: OR = 1.04 (1.01, 1.07)], and came from households with higher incomes [HD: OR = 4.67 (1.06, 20.67)] were associated with higher psychopathology trajectories compared to LS. Parent-reported youth psychopathology was generally low over 24 months, though over one-third had symptoms that reflected borderline clinical psychopathology. Predictors for group membership could help identify at-risk youth with CPI early for psychopathology.

Indexed as

AdolescentChildLatent class growth analysisLongitudinal studiesMental disorders

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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.