American Journal of Preventive Medicine
Volume 36, Issue 3 , Pages 189-194, March 2009

Adult Active Transportation:

Adding Habit Strength to the Theory of Planned Behavior

  • Gert-Jan de Bruijn, PhD

      Affiliations

    • Department of Communication Science, Amsterdam School of Communications Research, Amsterdam, The Netherlands
    • Corresponding Author InformationAddress correspondence and reprint requests to: Gert-Jan de Bruijn, PhD, Department of Communication Science, Amsterdam School of Communications Research ASCoR, Kloveniersburgwal 48, 1012 CX, Amsterdam, The Netherlands
  • ,
  • Stef P.J. Kremers, PhD

      Affiliations

    • Department of Health Education and Health Promotion, Maastricht University, Maastricht, The Netherlands
  • ,
  • Amika Singh, PhD

      Affiliations

    • Institute for Research in Extramural Medicine, Vrije Universiteit University Medical Centre (EMGO), Amsterdam, The Netherlands
  • ,
  • Bas van den Putte, PhD

      Affiliations

    • Department of Communication Science, Amsterdam School of Communications Research, Amsterdam, The Netherlands
  • ,
  • Willem van Mechelen, MD, PhD

      Affiliations

    • Institute for Research in Extramural Medicine, Vrije Universiteit University Medical Centre (EMGO), Amsterdam, The Netherlands

published online 22 January 2009.

Background

Many health behaviors have a history of repetition and, as a result, may become habitual. Because including a measure of habit strength may add depth to current theoretical models on health behavior, the present study explored the issue of habit strength within the context of the theory of planned behavior regarding adult bicycle use as a means of transportation.

Methods

Cross-sectional data were gathered in a Dutch adult sample (n=317; mean age=42.09 years; 46.7% men) in 2006 using self-administered questionnaires. Variables for the theory of planned behavior were assessed regarding bicycle use as a means of transportation; habit strength regarding bicycle use as a means of transportation was assessed with the validated Self-Reported Habit Index. Hierarchical regression analyses and interaction analyses using simple slope analyses were conducted.

Results

After controlling for variables for the theory of planned behavior, habit strength was the strongest predictor of bicycle use. In addition, simple slope analyses based on a significant interaction term, intention × habit, showed that intention was a significant predictor of bicycle use among those at low levels of habit strength for bicycle use (β=0.67, p<0.001) but a weaker and nonsignificant predictor at high levels of habit strength (β=0.10, p=0.136).

Conclusions

Habit strength is a moderator of the intention–behavior relationship regarding bicycle use, with intention becoming less relevant when bicycle use increases in habit strength. Future determinant and intervention studies on physical activity may benefit from including a measure of habit strength—for instance, by identifying the differential effects of informational and environmental interventions.

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PII: S0749-3797(08)00971-9

doi:10.1016/j.amepre.2008.10.019

American Journal of Preventive Medicine
Volume 36, Issue 3 , Pages 189-194, March 2009