Electronic Theses and Dissertations
Identifier
5981
Date
2017
Document Type
Dissertation
Degree Name
Doctor of Philosophy
Major
Counseling Psychology
Committee Chair
Suzanne Lease
Committee Member
Mace Coday
Committee Member
Douglas Strohmer
Committee Member
Brook Harmon
Abstract
Physical inactivity is a leading cause of death in the United States and smokers are more at risk to be physically inactive. Physical activity interventions can be one-dimensional and not attend to co-occurring variables that may impact health behaviors. This study examined interrelationship among social ecological variables and identified subgroups of individuals based on their engagement in leisure time physical activity (LTPA) six months after randomization into the comparison arm of a clinical trial for persons trying to quit smoking and not gain weight. Classification and regression trees (CART) analyses were conducted to form subgroups of individuals based ontheir level of LTPA within a social ecological framework. Important variables identified by CART included neighborhood accessibility, occupational physical activity, sleep, age, and neighborhood safety. Findings from this study indicate that addressing the interactive nature of important, co-occurring variables on a person's LTPA may aid in the development of empirically-driven interventions.
Library Comment
Dissertation or thesis originally submitted to the local University of Memphis Electronic Theses & dissertation (ETD) Repository.
Recommended Citation
Miro, Danielle Zieman, "Social Ecological Predictors of Physical Activity" (2017). Electronic Theses and Dissertations. 1677.
https://digitalcommons.memphis.edu/etd/1677
Comments
Data is provided by the student.