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Beyond cognition: predicting health risk behaviors from instrumental and affective beliefs
Rebecca Lawton1, Mark Conner, Dianne Parker
1Institute of Psychological Sciences, University of Leeds, Leeds, United Kingdom. r.j.lawton@leeds.ac.uk
Objective:
Two studies assessed the relative contribution of affective and instrumental beliefs to the prediction of 2 risk behaviors: driving above the speed limit and smoking.
Design:
Both studies took the form of large-scale questionnaire surveys (Study 1, N=292; Study 2, N=500) measuring instrumental and affective beliefs and self-reported behavior. In both cases, behavior was also measured objectively.
Outcome Measures:
In Study 1, speeding behavior was measured via infrared camera along sections of road with 30 mph, 40 mph, and 60 mph speed limits. Self-reports of speeding in these same contexts represented a 2nd dependent variable. In Study 2, level of smoking was measured via a carbon monoxide monitor, and participants were asked to indicate the number of cigarettes they smoked in a week.
Results:
In Study 1, positive and negative instrumental and affective beliefs were significant predictors of self-reported speed. The most powerful predictor was negative affective beliefs. Observed speed was predicted by negative affective beliefs only. In Study 2, the significant predictors of self-reported smoking and objective measures of smoking were positive and negative affective beliefs.
Conclusion:
The findings indicate the importance of affective beliefs across 2 health risk behaviors. Implications for social cognition models and interventions are discussed.
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