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AJPH First Look, published online ahead of print Apr 1, 2008
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AJPH.2007.123075v1
98/5/897    most recent
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American Journal of Public Health, 10.2105/AJPH.2007.123075


Research and Practice

Correlates of the Stages of Change for Physical Activity in a Population Survey

Carol Ewing Garber 1*, Jenifer E. Allsworth 2, Bess H. Marcus 3, Jana Hesser 4, Kate L. Lapane 5

1 Teachers College, Columbia University
2 Washington University School of Medicine
3 The Miriam Hospital, Warren Alpert Medical School at Brown University
4 Rhode Island Department of Health, Warren Alpert Medical School at Brown University
5 Warren Alpert Medical School at Brown University

* To whom correspondence should be addressed. E-mail: garber{at}tc.columbia.edu.


   Abstract

Objective. We sought to identify variables associated with being in a particular stage of change for physical activity—a measure of behavioral intention to engage in regular physical activity. Understanding behavioral intentions can be useful in explaining why individuals are physically inactive or active.

Methods. Data from the Rhode Island 2000 Behavioral Risk Factor Surveillance System were used to evaluate predictors of stage of change for physical activity. There were 3454 observations in the data set, representing a weighted population of 742636 people. Estimates were obtained from polytomous multiple logistic models.

Results. Being a woman, Hispanic, non-Hispanic Black, and older than 55 years of age were associated with being in precontemplation and contemplation stages of change rather than maintenance. Self-perceived health status and rarely feeling healthy or full of energy were strongly predictive of stage of change. Having a health limitation was a dichotomous predictor, predicting being in action and precontemplation stages.

Conclusions. Several sociodemographic and health variables were associated with varying patterns of stages of change for physical activity. The complexity of individual intentions for physical activity provides evidence for the potential existence of mediating, effect-modifying, and confounding variables that differ depending on individual characteristics.

Key Words: Epidemiology, Exercise/Physical Activity, Surveillance







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