A cluster analysis typology of religiousness/spirituality among older adults


Journal Article

This study used cluster analysis to identify sets of individuals similar to one another across multiple measures of religiousness and then ascertained if these groups differed by sociodemographic characteristics, health risk behaviors, physical health and functional status, and mental health. The authors identified six clusters using data from 1,000 community-dwelling older adults in a k-means cluster analysis of a modified version of the Duke University Religion Index. Participants in the strongly religious, moderately religious, and minimally religious clusters had the highest scores on the health, functional status, and mental health variables. The privately practicing moderate attender and the privately practicing nonattender groups were similar to each other and generally had poorer health, functional status, and mental health. The typology illustrates the importance of simultaneously considering multiple measures of religiousness and the complexity of the relationships among religiousness, sociodemographic characteristics, and health and well-being. © 2007 Sage Publications.

Full Text

Duke Authors

Cited Authors

  • Klemmack, DL; Roff, LL; Parker, MW; Koenig, HG; Sawyer, P; Allman, RM

Published Date

  • March 1, 2007

Published In

Volume / Issue

  • 29 / 2

Start / End Page

  • 163 - 183

Electronic International Standard Serial Number (EISSN)

  • 1552-7573

International Standard Serial Number (ISSN)

  • 0164-0275

Digital Object Identifier (DOI)

  • 10.1177/0164027506296757

Citation Source

  • Scopus