Deciding to exercise: the role of anticipated regret

Br J Health Psychol. 2004 May;9(Pt 2):269-78. doi: 10.1348/135910704773891096.

Abstract

Objectives: Two studies tested (a) whether anticipated regret (AR) qualifies as an additional predictor of intentions to engage in a health-enhancing behaviour (exercise) after variables from the Theory of Planned Behaviour (TPB) and past behaviour have been controlled, and (b) whether a manipulation that induces participants to focus on AR causes stronger intentions to exercise.

Design: Study 1 employed a cross-sectional questionnaire design; Study 2 employed a between-participants experimental design (AR focus vs. no AR focus).

Method: Participants (N = 385) completed standard, multi-item, reliable measures of TPB constructs and AR and also reported their past behaviour (Study 1). Participants in Study 2 (N = 70) completed measures of AR and intention; salience of AR was manipulated by means of item order.

Results: Study 1 showed that even though TPB variables and past behaviour were reliable predictors of intention, and explained 51% of the variance, AR contributed a substantial increment in the variance (5%) even after these predictors had been taken into account. Study 2 showed that participants who were induced to focus on AR prior to intention formation had significantly stronger intentions to exercise compared to controls.

Conclusion: The findings indicate that AR predicts a health-enhancing behaviour (as well as the health-risk behaviours examined in previous research) and that effects of AR are independent of TPB variables and past behaviour. The findings also indicate that a simple and inexpensive manipulation of the salience of AR can be used to promote exercise intentions.

Publication types

  • Clinical Trial
  • Multicenter Study
  • Randomized Controlled Trial

MeSH terms

  • Adolescent
  • Adult
  • Cross-Sectional Studies
  • Emotions*
  • Exercise / psychology*
  • Female
  • Health Behavior*
  • Humans
  • Intention*
  • Male
  • Middle Aged
  • Motivation
  • Regression Analysis
  • United Kingdom