Literature DB >> 23204361

Contextual effects on the perceived health benefits of exercise: the exercise rank hypothesis.

John Maltby1, Alex M Wood, Ivo Vlaev, Michael J Taylor, Gordon D A Brown.   

Abstract

Many accounts of social influences on exercise participation describe how people compare their behaviors to those of others. We develop and test a novel hypothesis, the exercise rank hypothesis, of how this comparison can occur. The exercise rank hypothesis, derived from evolutionary theory and the decision by sampling model of judgment, suggests that individuals' perceptions of the health benefits of exercise are influenced by how individuals believe the amount of exercise ranks in comparison with other people's amounts of exercise. Study 1 demonstrated that individuals' perceptions of the health benefits of their own current exercise amounts were as predicted by the exercise rank hypothesis. Study 2 demonstrated that the perceptions of the health benefits of an amount of exercise can be manipulated by experimentally changing the ranked position of the amount within a comparison context. The discussion focuses on how social norm-based interventions could benefit from using rank information.

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Year:  2012        PMID: 23204361     DOI: 10.1123/jsep.34.6.828

Source DB:  PubMed          Journal:  J Sport Exerc Psychol        ISSN: 0895-2779            Impact factor:   3.016


  3 in total

1.  Social sampling and expressed attitudes: Authenticity preference and social extremeness aversion lead to social norm effects and polarization.

Authors:  Gordon D A Brown; Stephan Lewandowsky; Zhihong Huang
Journal:  Psychol Rev       Date:  2022-01       Impact factor: 8.934

2.  A rank based social norms model of how people judge their levels of drunkenness whilst intoxicated.

Authors:  Simon C Moore; Alex M Wood; Laurence Moore; Jonathan Shepherd; Simon Murphy; Gordon D A Brown
Journal:  BMC Public Health       Date:  2016-09-13       Impact factor: 3.295

3.  A unifying Bayesian account of contextual effects in value-based choice.

Authors:  Francesco Rigoli; Christoph Mathys; Karl J Friston; Raymond J Dolan
Journal:  PLoS Comput Biol       Date:  2017-10-05       Impact factor: 4.475

  3 in total

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