Alternative models of the stress buffering hypothesis.

Published

Journal Article

The interactive effects of life events and social support on a DSM-III diagnosis of major depressive episode and on number of depressive symptoms were examined. Data are from a stratified random sample of 3,732 community-dwelling adults. The paper focuses on differences between linear probability models and logistic regression models with regard to the definition, detection, and interpretation of interaction effects. Results indicate that conclusions about the interaction of life events and social support are model dependent. Using a linear probability model, significant event by support interactions were observed for both depressive symptoms and major depression. Using logistic regression, which estimates interactions in terms of odds ratios, no significant event by support interactions were observed. Discussion addresses the interpretive implications of modeling interaction in terms of probability differences versus odds ratios.

Full Text

Duke Authors

Cited Authors

  • Landerman, R; George, LK; Campbell, RT; Blazer, DG

Published Date

  • October 1989

Published In

Volume / Issue

  • 17 / 5

Start / End Page

  • 625 - 642

PubMed ID

  • 2627025

Pubmed Central ID

  • 2627025

Electronic International Standard Serial Number (EISSN)

  • 1573-2770

International Standard Serial Number (ISSN)

  • 0091-0562

Digital Object Identifier (DOI)

  • 10.1007/bf00922639

Language

  • eng