Strategies for Assessing and Modeling Depressive Symptoms in Longitudinal Studies of Adolescents

Overview

Journal J Res Adolesc

Specialties Pediatrics
Psychology

Date 2019 Aug 31

PMID 31469482

Citations 4

Authors

Sarah J Beal

Lorah D Dorn

Emily J LoBraico

Nathan Lutz

Nilam Ram

Affiliations

Soon will be listed here.

Abstract

Studying age-related change in psychosocial behavior is difficult because manifestation differs with development. While the use of age-appropriate measurement instruments addresses developmental differences, changes in measurement also challenge researchers' ability to study developmental trajectories. Leveraging 8-occasion data from 262 girls (baseline ages 11 and 17 years) participating in a cross-sequential study spanning childhood to adulthood, this paper (1) highlights the needs of developmental researchers seeking to measure change across large swaths of development, (2) forwards an initial formula to convert Beck Depression Inventory-II scores into Children's Depression Inventory scores and facilitate longitudinal analysis and understanding of how depression develops across adolescence, and (3) suggests collection and analysis of new data that would better facilitate researcher's linking of child-, adolescent-, and adult-oriented measurement instruments.

Citing Articles

Measurement-Based Care for Depression in Youth: Practical Considerations for Selecting Measures to Assess Depression, Associated Features and Functioning.

Garza C, Chapa D, Hernandez C, Aramburu H, Mayes T, Emslie G Child Psychiatry Hum Dev. 2024; .

PMID: 38217644 DOI: 10.1007/s10578-023-01652-4.

Heightened adolescent emotional reactivity in the brain is associated with lower future distress tolerance and higher depressive symptoms.

Del Giacco A, Jones S, Hernandez K, Barnes S, Nagel B Psychiatry Res Neuroimaging. 2023; 333:111659.

PMID: 37263126 PMC: 10330591. DOI: 10.1016/j.pscychresns.2023.111659.

Mentalization-based treatment for adolescents with conduct disorder (MBT-CD): a feasibility study.

Hauschild S, Kasper L, Volkert J, Sobanski E, Taubner S Eur Child Adolesc Psychiatry. 2022; 32(12):2611-2622.

PMID: 36434148 PMC: 9702655. DOI: 10.1007/s00787-022-02113-4.

White Matter Microstructural Properties of the Cerebellar Peduncles Predict Change in Symptoms of Psychopathology in Adolescent Girls.

Borchers L, Bruckert L, Chahal R, Mastrovito D, Ho T, Gotlib I Cerebellum. 2021; 21(3):380-390.

PMID: 34309819 PMC: 8811714. DOI: 10.1007/s12311-021-01307-x.

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