Predictors of depressive symptoms in emerging adulthood in a low-income urban cohort

Christina F. Mondi, Arthur J. Reynolds, Suh Ruu Ou

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

This study examined predictors of depressive symptoms in emerging adulthood in a sample of 1142 individuals (94% African American) who grew up in urban poverty. Data were drawn from a longitudinal study that followed participants from age five and included participant, parent, and teacher surveys, and administrative records. Depressive symptoms were self-reported at age 22–24 using a modified version of the Brief Symptom Inventory (BSI; Derogatis, 1975). Binary logistic regression analyses identified several significant predictors of depressive symptoms in emerging adulthood, including: sex, adverse childhood experiences (ACE) score, socio-emotional adjustment in the classroom, juvenile arrest, and on-time graduation. Significant sex differences were also detected, with the final models fitting the male sample better than the full study or female samples. Implications for future research and intervention are discussed.

Original languageEnglish (US)
Pages (from-to)45-59
Number of pages15
JournalJournal of Applied Developmental Psychology
Volume50
DOIs
StatePublished - May 1 2017

Bibliographical note

Funding Information:
All phases of this study were supported by the National Institute of Child Health and Human Development under Grant No. R01HD034294. The first author was also supported by the National Science Foundation Graduate Research Fellowship under Grant No. 00039202. Any opinion, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.

Publisher Copyright:
© 2017 Elsevier Inc.

Keywords

  • Depression
  • Early childhood intervention
  • Emerging adulthood
  • Predictors

Fingerprint

Dive into the research topics of 'Predictors of depressive symptoms in emerging adulthood in a low-income urban cohort'. Together they form a unique fingerprint.

Cite this