Improving healthy behaviours through motivationally tailored messages: meta-analytic insights from 177 randomized control trials

Mini-Oral Presentation C2.7

Authors

  • Keven Joyal-Desmarais Montreal Behavioral Medicine Centre; Concordia University
  • Alexandra K. Scharmer University of Minnesota
  • Molly K. Madzelan University of Minnesota
  • Jolene V. See University of Minnesota
  • Alexander J. Rothman University of Minnesota
  • Mark Snyder University of Minnesota

DOI:

https://doi.org/10.14288/hfjc.v14i3.759

Keywords:

Behaviour Change, Communication, Physical Activity, Diet, Smoking

Abstract

Background: Tailoring health-related communications to account for people’s characteristics (e.g., age, sex) can be a useful tool to promote healthier lifestyles (e.g., physical activity, healthy diets). Functional matching is a special type of tailoring that focuses on matching content to psychological motives, values, and needs, and has been argued to be a particularly powerful form of tailoring. Although functional matching has been widely and successfully applied to influence consumer behaviours, its effectiveness for encouraging health behaviours is less well established. Purpose: To synthesize current research applying functional matching to influence health decision-making. Methods: We present a meta-analytic synthesis of randomized control trials evaluating functional matching on health behaviour outcomes (attitudes, intentions, behaviours) in general, and in the domains of physical activity, diet, smoking, and alcohol use. Using a three-level meta-analysis, we synthesize 1,316 effects from 177 studies. Results: The average effect of functional matching on health-related attitudes, intentions, and behaviours was significant and positive at r = .12 (k = 177; 95% CI = .09 to .14). Significant effects were obtained for physical activity (r = .16; k=21; 95% CI = .09 to .23), dietary changes (r =.16; k=44; 95% CI = .10-.22), and smoking (r =.08; k=36; 95% CI = .03 to.12). Effects on alcohol use were of a similar magnitude but not significant (r=.10; k=15; 95% CI = -.02 to .22). Conclusions: These findings suggest that functional matching may be a highly promising tool for interventionists to consider when building interventions to encourage healthier behaviors. 

Published

2021-09-30

How to Cite

Joyal-Desmarais, K., Scharmer, A., Madzelan, M., See, J., Rothman, A., & Snyder, M. (2021). Improving healthy behaviours through motivationally tailored messages: meta-analytic insights from 177 randomized control trials: Mini-Oral Presentation C2.7. The Health & Fitness Journal of Canada, 14(3). https://doi.org/10.14288/hfjc.v14i3.759

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