Health-promoting and health-risk behaviors: theory-driven analyses of multiple health behavior change in three international samples

Int J Behav Med. 2012 Mar;19(1):1-13. doi: 10.1007/s12529-010-9135-4.

Abstract

Background: Co-occurrence of different behaviors was investigated using the theoretical underpinnings of the Transtheoretical Model, the Theory of Triadic Influence and the concept of Transfer.

Purpose: To investigate relationships between different health behaviors' stages of change, how behaviors group, and whether study participants cluster in terms of their behaviors.

Method: Relationships across stages for different behaviors were assessed in three studies with N = 3,519, 965, and 310 individuals from the USA and Germany by telephone and internet surveys using correlational analyses, factor analyses, and cluster analyses.

Results: Consistently stronger correlations were found between nutrition and physical activity (r = 0.16-0.26, p < 0.01) than between non-smoking and nutrition (r = 0.08-0.16, p < 0.03), or non-smoking and physical activity (r = 0.01-0.21). Principal component analyses of investigated behaviors indicated two factors: a "health-promoting" factor and a "health-risk" factor. Three distinct behavioral patterns were found in the cluster analyses.

Conclusion: Our results support the assumption that individuals who are in a higher stage for one behavior are more likely to be in a higher stage for another behavior as well. If the aim is to improve a healthy lifestyle, success in one behavior can be used to facilitate changes in other behaviors--especially if the two behaviors are both health-promoting or health-risky. Moreover, interventions should be targeted towards the different behavioral patterns rather than to single behaviors. This might be achieved by addressing transfer between behaviors.

Publication types

  • Comparative Study
  • Multicenter Study

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Cluster Analysis
  • Diabetes Mellitus / epidemiology*
  • Female
  • Germany / epidemiology
  • Health Behavior*
  • Humans
  • Internet
  • Male
  • Middle Aged
  • Risk Factors
  • Smoking / epidemiology*
  • Transfer, Psychology / physiology*
  • United States / epidemiology
  • Young Adult