Predicting Help-Seeking Attitudes Toward Mental Health Services among American Indian Older Adults: Is Andersen's Behavioral Model a Good Fit?

Soonhee Roh, Catherine E. Burnette, Kyoung Hag Lee, Yeon Shim Lee, James I. Martin, Michael J. Lawler

Research output: Contribution to journalArticle

Abstract

American Indian (AI) older adults are vulnerable to mental health disparities, yet very little is known about the factors associated with help-seeking for mental health services among them. The purpose of this study was to investigate the utility of Andersen's Behavioral Model in explaining AI older adults' help-seeking attitudes toward professional mental health services. Hierarchical regression analysis was used to examine predisposing, enabling, and need variables as predictors of help-seeking attitudes toward mental health services in a sample of 233 AI older adults from the Midwest. The model was found to have limited utility in the context of older AI help-seeking attitudes, as the proportion of explained variance was low. Gender, perceived stigma, social support, and physical health were significant predictors, whereas age, perceived mental health, and health insurance were not.

Original languageEnglish (US)
Pages (from-to)94-115
Number of pages22
JournalJournal of Applied Gerontology
Volume36
Issue number1
DOIs
StatePublished - Jan 1 2017

Keywords

  • American Indian
  • help-seeking
  • mental health
  • older adults
  • service utilization

ASJC Scopus subject areas

  • Gerontology
  • Geriatrics and Gerontology

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