TY - CHAP
T1 - Understanding the decision-making processes associated with exercise
AU - Newton, Joshua D.
AU - Newton, Fiona J.
AU - Ewing, Michael T.
AU - Piterman, Leon
AU - Smith, Ben J.
AU - Gilbert, Kara M.
AU - Mahal, Ajay
N1 - Publisher Copyright:
© 2016, Academy of Marketing Science.
PY - 2013
Y1 - 2013
N2 - Only 37% of Australians perform exercise at a level sufficient to achieve benefits to their health (Australian Institute of Health and Welfare, 2010). As a result, a substantial proportion of the Australian population is at increased risk of developing a range of physical ailments associated with low levels of exercise, including cardiovascular disease, diabetes, cancer, and osteoporosis (Warburton, Nicol, & Bredin, 2006). Particular attention has therefore been directed towards developing and evaluating campaigns aimed at increasing rates of exercise. However, these campaigns are only likely to be successful if they adequately leverage the decision-making processes that influence exercise behaviour. Thus, the aim of this study was to better understand how Australians decide whether or not to engage in exercise
AB - Only 37% of Australians perform exercise at a level sufficient to achieve benefits to their health (Australian Institute of Health and Welfare, 2010). As a result, a substantial proportion of the Australian population is at increased risk of developing a range of physical ailments associated with low levels of exercise, including cardiovascular disease, diabetes, cancer, and osteoporosis (Warburton, Nicol, & Bredin, 2006). Particular attention has therefore been directed towards developing and evaluating campaigns aimed at increasing rates of exercise. However, these campaigns are only likely to be successful if they adequately leverage the decision-making processes that influence exercise behaviour. Thus, the aim of this study was to better understand how Australians decide whether or not to engage in exercise
KW - Hierarchical Multiple Regression Analysis
KW - International Physical Activity Questionnaire
KW - Multinomial Logistic Regression
KW - Predictive Utility
KW - Subjective Norm
UR - http://www.scopus.com/inward/record.url?scp=85125231211&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-24184-5_12
DO - 10.1007/978-3-319-24184-5_12
M3 - Chapter (Book)
AN - SCOPUS:85125231211
SN - 9783319241821
T3 - Developments in Marketing Science: Proceedings of the Academy of Marketing Science
SP - 42
EP - 45
BT - Looking Forward, Looking Back: Drawing on the Past to Shape the Future of Marketing
A2 - Campbell, Colin
A2 - Ma, Junzhao Jonathon
PB - Springer
CY - Cham [Switzerland]
T2 - AMS World Marketing Congress 2013
Y2 - 17 July 2013 through 20 July 2013
ER -