Predictors of stage transitions in the precaution adoption process model
Emely de Vet1, Jascha de Nooijer, Anke Oenema
1Institute of Health Sciences, VU University, Amsterdam, the Netherlands. emely.de.vet@falw.vu.nl
American Journal of Health Promotion : AJHP
|April 22, 2008
Summary
Positive attitudes and social support encourage fruit intake decisions, while strong self-efficacy is key for sustained action. The Precaution Adoption Process Model (PAPM) effectively frames fruit consumption behavior.
Area of Science:
- Health Psychology
- Behavioral Science
- Nutrition Science
Background:
- Understanding determinants of healthy eating behaviors is crucial for public health.
- The Precaution Adoption Process Model (PAPM) offers a framework to study behavior change.
- Fruit intake remains suboptimal in many populations, necessitating research into adoption processes.
Purpose of the Study:
- To identify psychosocial factors associated with fruit intake.
- To explore predictors of stage transitions within the PAPM for fruit consumption.
- To elucidate the psychological and social influences on adopting increased fruit intake.
Main Methods:
- A cohort of 735 adults completed three electronic surveys over 67 days.
- Data collected included PAPM stage, risk perception, attitudes, social influences, self-efficacy, and fruit intake.
- Logistic regression analyzed predictors of stage transitions; ANOVA examined cross-sectional differences.
Main Results:
- Attitude and social influences significantly predict the decision to increase fruit intake.
- High self-efficacy is crucial for translating the decision into actual behavior change.
- Psychosocial factors demonstrate varying importance across different stages of precaution adoption.
Conclusions:
- The PAPM provides a valuable framework for understanding and intervening in fruit intake behavior.
- Targeting attitudes and social support may facilitate initial adoption, while enhancing self-efficacy is vital for maintenance.
- Further research with larger, diverse samples is recommended to validate findings.
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