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Norms and their relationship to behavior in worksite settings: an application of the Jackson Return Potential Model
Laura Linnan1, Anthony D LaMontagne, Anne Stoddard
1University of North Carolina Chapel Hill, School of Public Health, Chapel Hill, NC, USA. linnan@email.unc.edu
Objectives:
To measure health norms and assess their influence on behavior among 2541 employees in 16 manufacturing worksites using an adapted Jackson's Return Potential Model (RPM).
Methods:
Worksite-level norm intensity, crystallization, and normative power were calculated for several behaviors; linear regression analyses tested whether normative power was related to each health behavior.
Results:
Norms about safe work practices and smoking were most intense; norms about safe work practices were most crystallized. Safe work practices and smoking held the highest normative power; healthy eating held the least normative power.
Conclusions:
Comparing norm characteristics across health behaviors leads to important leverage points for intervening to influence norms and improve worker health.
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