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Longitudinal trajectories of depression across adolescence, emerging adulthood and adulthood: Findings from the national longitudinal study of adolescent to adult health (add health) (1994–2008)

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Abstract

Background
The heterogeneity of depression is well documented. Consistent with the Life Course Theory, longitudinal analysis establishing trajectories may demonstrate the stability and variation of depression.
Methods
Data from four waves of the US National Longitudinal Study of Adolescent to Adult Health (Add Health) were used to investigate depression trajectories. Nine items from the Center for Epidemiological Studies (CESsingle bondD) measured depression of 9421 participants. Trajectories were established using growth mixture modelling (GMM) and multinomial regression was employed to explore the influence of gender and ethnicity.
Results
Five distinct and unique trajectories were established as minimal (66.8%), moderate (19.1%), Emerging Adulthood (EA) trough (7.6%), persistently high (3.3%) and EA peak (3.1%). Being female and non-white increased the probability of being in the elevated trajectories during adolescence.
Conclusion
Three stable and two fluctuating trajectories demonstrate both the predictability and heterogeneity of depression across three distinct developmental stages.
Original languageEnglish
Article number121213
Pages (from-to)1-9
Number of pages9
JournalJournal of Affective Disorders
Volume400
Early online date19 Jan 2026
DOIs
Publication statusPublished (in print/issue) - 1 May 2026

Bibliographical note

Publisher Copyright:
Copyright © 2024. Published by Elsevier B.V.

Data Availability Statement

Data not available / The data that has been used is confidential and only accessible by contractual agreement with Add Health.

Funding

This work was supported by a Northern Ireland Department for the Economy PhD studentship. The Department for the Economy had no role in the study design, the collection, analysis and interpretation of data, in writing the report and in the decision to submit the article for publication.

FundersFunder number
Department for the Economy
National Institute of Child Health and Human Development
University of North Carolina
National Institute on AgingU01 AG071448, U01AG071450

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • Longitudinal studies
    • Depression
    • Trajectories
    • Life course theory

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