The prediction of major depression in women: Toward an integrated etiologic model

K. S. Kendler, R. C. Kessler, M. C. Neale, A. C. Heath, L. J. Eaves

Research output: Contribution to journalArticlepeer-review

479 Scopus citations

Abstract

Objective: The authors develop an exploratory, integrated etiologic model for the prediction of episodes of major depression in an epidemiologic sample of women. Method: Both members of 680 female-female twin pairs of known zygosity from a population-based register were assessed three times at greater than 1-year intervals. The last two assessments included a structured interview evaluation for presence of episodes of major depression, defined by DSM-III-R, in the preceding year. The final structural equation model contained nine predictor variables: genetic factors, parental warmth, childhood parental loss, lifetime traumas, neuroticism, social support, past depressive episodes, recent difficulties, and recent stressful life events. Results: The best-fitting model predicted 50.1% of the variance in the liability to major depression. The strongest predictors of this liability were, in descending order, 1) stressful life events, 2) genetic factors, 3) previous history of major depression, and 4) neuroticism. While 60% of the effect of genetic factors on the liability to major depression was direct, the remaining 40% was indirect and mediated largely by a history of prior depressive episodes, stressful life events, lifetime traumas, and neuroticism. The model suggested that at least four major and interacting risk factor domains are needed to understand the etiology of major depression: traumatic experiences, genetic factors, temperament, and interpersonal relations. Conclusions: Major depression is a multifactorial disorder, and understanding its etiology will require the rigorous integration of genetic, temperamental, and environmental risk factors.

Original languageEnglish
Pages (from-to)1139-1148
Number of pages10
JournalAmerican Journal of Psychiatry
Volume150
Issue number8
DOIs
StatePublished - 1993

Fingerprint

Dive into the research topics of 'The prediction of major depression in women: Toward an integrated etiologic model'. Together they form a unique fingerprint.

Cite this