Predicting future depression in adolescents using the Short Mood and Feelings Questionnaire: A two-nation study

Dean P. McKenzie, John W. Toumbourou, Andrew B. Forbes, Andrew J. MacKinnon, Barbara J. McMorris, Richard F. Catalano, George C. Patton

Research output: Contribution to journalArticlepeer-review

36 Scopus citations

Abstract

Background: Adolescence is a key life period for the development of depression. Predicting the development of depression in adolescence through detecting specific early symptoms may aid in the development of timely screening and intervention programmes. Methods: We administered the Short Mood and Feelings Questionnaire (SMFQ) to 5769 American and Australian students aged 10 to 15 years, at two time points, separated by 12 months. We attempted to predict high levels of depression symptoms at 12 months from symptoms at baseline, using statistical approaches based upon the quality, as well as the quantity, of depression symptoms present. These approaches included classification and regression trees (CART) and logistic regression. Results: A classification tree employing four SMFQ items, such as feelings of self-hatred and of being unloved, performed almost as well as all 13 SMFQ items at predicting subsequent depression symptomatology. Limitations: Depression was measured using a self-report instrument, rather than a criterion standard diagnostic interview. Conclusion: Further validation on other populations of adolescents is required: however the results suggest that several symptoms of depression, especially feelings of self-hatred, and being unloved, are associated with increased levels of self-reported depression at 12 months post baseline. Although screening for depression can be problematic, symptoms such as the ones above should be considered for inclusion in screening tests for adolescents.

Original languageEnglish (US)
Pages (from-to)151-159
Number of pages9
JournalJournal of Affective Disorders
Volume134
Issue number1-3
DOIs
StatePublished - Nov 2011

Bibliographical note

Funding Information:
Data collection for this research was supported through a grant from the National Institute on Drug Abuse (DA-012140-05), National Institutes of Health, United States Department of Health and Human Services (RF Catalano, Principal Investigator). Data analysis was supported by grants from the Australian Research Council and Australian Health Management. DP McKenzie is supported through a Postdoctoral Public Health Fellowship from the National Health and Medical Research Council of Australia (NH&MRC), and a grant from Australian Health Management. JW Toumbourou is supported through a Victorian Health Promotion Foundation Fellowship. RF Catalano and BJ McMorris are supported through a grant from the National Institute on Alcohol Abuse and Alcoholism (R01-AA017188). GC Patton is supported through an NH&MRC Senior Principal Research Fellowship. None of the funding bodies had any further role in the collection, analysis and interpretation of data, in the writing of the report; and in the decision to submit the paper for publication. The content of this paper is solely the responsibility of the authors and does not necessarily represent the official views of the funding agencies.

Keywords

  • Adolescents
  • Classification trees
  • Depression
  • Screening

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