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The Health Behavior Checklist: Factor structure in community samples and validity of a revised good health practices
Sarah E Hampson1, Grant W Edmonds1, Lewis R Goldberg1
1Oregon Research Institute, USA.
Insights
The Health Behavior Checklist shows a three-factor structure. The Good Health Practices scale effectively predicts cardiovascular and metabolic health, suggesting its utility in health behavior research.
Area of Science:
- Health Psychology
- Behavioral Medicine
- Psychometrics
Background:
- The multidimensional Health Behavior Checklist (HBC) is widely used.
- Its factor structure and predictive validity require ongoing examination.
Purpose of the Study:
- To investigate the factor structure of the HBC.
- To assess the predictive validity of HBC scales concerning health risk factors.
Main Methods:
- Analysis of data from two community samples (men and women).
- Examination of the factor structure and correlations with health indicators.
Main Results:
- A three-factor structure was identified for the HBC.
- The Good Health Practices scale and Wellness Maintenance scale correlated with cardiovascular and metabolic risk factors.
- Other HBC scales showed limited predictive validity.
Conclusions:
- The Good Health Practices scale demonstrates potential utility for assessing health behaviors.
- Further validation is needed for other HBC scales.
- The Good Health Practices scale is a viable alternative when objective measures are not feasible.
Abstract:
This study examined the factor structure and predictive validity of the commonly used multidimensional Health Behavior Checklist. A three-factor structure was found in two community samples that included men and women. The new 16-item Good Health Practices scale and the original Wellness Maintenance scale were the only Health Behavior Checklist scales to be related to cardiovascular and metabolic risk factors. While the other Health Behavior Checklist scales require further validation, the Good Health Practices scale could be used where more objective or longer measures are not feasible.
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