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Health Education Research Advance Access originally published online on November 30, 2004
Health Education Research 2005 20(4):430-438; doi:10.1093/her/cyg138
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Health Education Research Vol.20 no.4, © Oxford University Press 2004; All rights reserved

Comparing demographic, health status and psychosocial strategies of audience segmentation to promote physical activity

Sarah E. Boslaugh1,4, Matthew W. Kreuter2, Robert A. Nicholson3 and Kimberly Naleid2

1 Department of Pediatrics, Washington University School of Medicine, St Louis, MO 63110, 2 Health Communication Research Laboratory, Department of Community Health, School of Public Health, St Louis University, St Louis, MO 63108 and 3 Department of Community and Family Medicine, St Louis University, St Louis, MO 63104, USA

4 Correspondence to: S. E. Boslaugh; E-mail: boslaugh_s{at}kids.wustl.edu

The goal of audience segmentation is to identify population subgroups that are homogeneous with respect to certain variables associated with a given outcome or behavior. When such groups are identified and understood, targeted intervention strategies can be developed to address their unique characteristics and needs. This study compares the results of audience segmentation for physical activity that is based on either demographic, health status or psychosocial variables alone, or a combination of all three types of variables. Participants were 1090 African-American and White adults from two public health centers in St Louis, MO. Using a classification-tree algorithm to form homogeneous groups, analyses showed that more segments with greater variability in physical activity were created using psychosocial versus health status or demographic variables and that a combination of the three outperformed any individual set of variables. Simple segmentation strategies such as those relying on demographic variables alone provided little improvement over no segmentation at all. Audience segmentation appears to yield more homogeneous subgroups when psychosocial and health status factors are combined with demographic variables.


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