Multivariate Assessment of Stage Profiles and Predictors of Exercise
The Transtheoretical Model Applied to a Multiple Risk Sample
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Current interventions aimed at improving health andincreasing engagement in exercise often clusterindividuals into groups based on collectivecharacteristics or norms in order to change abehavior. The challenge is to design interventionscustomized to a single individual based on his or herunique behavior, situation, and characteristics. Morerecent and rigorous statistical methods may be moreappropriate for testing complex hypotheses pertainingto health and exercise behaviors. This book reviewsmultiple more rigorous and less widely usedmultivariate methods and measures for assessing andevaluatin...
Current interventions aimed at improving health and
increasing engagement in exercise often cluster
individuals into groups based on collective
characteristics or norms in order to change a
behavior. The challenge is to design interventions
customized to a single individual based on his or her
unique behavior, situation, and characteristics. More
recent and rigorous statistical methods may be more
appropriate for testing complex hypotheses pertaining
to health and exercise behaviors. This book reviews
multiple more rigorous and less widely used
multivariate methods and measures for assessing and
evaluating exercise behavior in a population that is
at increased risk for physical inactivity, smoking,
and unhealthy diet. Within-group profiles and
predictors of exercise are assessed in a study
involving a high risk sample. Information presented
here can be used by behavioral and social scientists,
psychologists, and health and exercise researchers to
guide future studies and interventions designed to
increase exercise participation of vulnerable
populations, and to tailor these interventions to
specific needs of these particular individuals.
increasing engagement in exercise often cluster
individuals into groups based on collective
characteristics or norms in order to change a
behavior. The challenge is to design interventions
customized to a single individual based on his or her
unique behavior, situation, and characteristics. More
recent and rigorous statistical methods may be more
appropriate for testing complex hypotheses pertaining
to health and exercise behaviors. This book reviews
multiple more rigorous and less widely used
multivariate methods and measures for assessing and
evaluating exercise behavior in a population that is
at increased risk for physical inactivity, smoking,
and unhealthy diet. Within-group profiles and
predictors of exercise are assessed in a study
involving a high risk sample. Information presented
here can be used by behavioral and social scientists,
psychologists, and health and exercise researchers to
guide future studies and interventions designed to
increase exercise participation of vulnerable
populations, and to tailor these interventions to
specific needs of these particular individuals.
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