Understanding the decision-making processes associated with exercise

Joshua D. Newton, Fiona J. Newton, Michael T. Ewing, Leon Piterman, Ben J. Smith, Kara M. Gilbert, Ajay Mahal

Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Otherpeer-review

Abstract

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
Original languageEnglish
Title of host publicationLooking Forward, Looking Back: Drawing on the Past to Shape the Future of Marketing
Subtitle of host publicationProceedings of the 2013 World Marketing Congress, Melbourne, Australia, July 17-20, 2013
EditorsColin Campbell, Junzhao Jonathon Ma
Place of PublicationCham [Switzerland]
PublisherSpringer
Pages42-45
Number of pages4
ISBN (Electronic)9783319241845
ISBN (Print)9783319241821
DOIs
Publication statusPublished - 2013
EventAMS World Marketing Congress 2013 - Melbourne, Australia
Duration: 17 Jul 201320 Jul 2013

Publication series

NameDevelopments in Marketing Science: Proceedings of the Academy of Marketing Science
ISSN (Print)2363-6165
ISSN (Electronic)2363-6173

Conference

ConferenceAMS World Marketing Congress 2013
Abbreviated titleAMS WMC 2013
Country/TerritoryAustralia
CityMelbourne
Period17/07/1320/07/13

Keywords

  • Hierarchical Multiple Regression Analysis
  • International Physical Activity Questionnaire
  • Multinomial Logistic Regression
  • Predictive Utility
  • Subjective Norm

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