Depression proneness in treatment-seeking smokers: A taxometric analysis

David R. Strong, Richard A. Brown, Christopher W. Kahler, Elizabeth E. Lloyd-Richardson, Raymond Niaura

Research output: Contribution to journalArticle

Abstract

Using taxometric procedures, we examined latent distribution of depression proneness and the construct validity of the Depression Proneness Inventory (DPI) within a group of 439 non-depressed smokers participating in a smoking cessation trial. Three taxometric procedures MAMBAC, MAXEIG, and L-MODE, supported the presence of a distinct subgroup of depression prone smokers. A set of indicators including cognitive vulnerabilities, self-reported tendencies to feel inadequate and experience depressive symptoms, as well as recent experiences of depressive symptoms prior to anticipated cessation treatment behaved taxonically suggesting a shared relationship with an underlying taxonic causal factor. The DPI was found to be an efficient index of taxon membership and a strong predictor of depression history. The DPI identifies a subgroup of smokers seeking cessation treatment that carry affective risk factors known to impede successful smoking cessation and might benefit from interventions targeting depression and negative mood.

Original languageEnglish (US)
Pages (from-to)1155-1170
Number of pages16
JournalPersonality and Individual Differences
Volume36
Issue number5
DOIs
StatePublished - Apr 2004

Keywords

  • Depression proneness
  • Smoking
  • Taxometric

ASJC Scopus subject areas

  • Psychology(all)

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