Using Self Report Measures to Lower The Cost of Population Heart Health Assessment

UNCG Author/Contributor (non-UNCG co-authors, if there are any, appear on document)
Joyendu Bhadury, Professor, Information Systems and Supply Chain Management (Creator)
The University of North Carolina at Greensboro (UNCG )
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Abstract: This paper describes the development and feasibility testing of a multivariate equation that uses self-report information rather than physiological measures to estimate coronary heart disease (CHD) risk in a population sample of New Brunswick adults with no reported history of heart disease. The multivariate Framingham risk prediction model, which uses a variety of self-report add physiological measures to estimate CHD risk, was first used to calculate CHD risk in the population sample. Regression analysis was then employed to identify a linear combination of "self-reportable" variables capable of closely approximating the population risk indices derived using the Framingham model. To test its utility, the self-report equation derived from the regression analysis was applied to a small telephone survey data set drawn from a second random sample of adult New Brunswickers with no reported history of heart disease. When applied to the telephone survey data, the self-report equation yielded CHD risk estimates consistent with those from the first population sample. We concluded that the development of a self-report-based methodology for assessing the CHD risk or hart health of target populations is highly feasible. Owing to the use of self-report information, as opposed to the physiological measures employed in conventional CHD risk prediction models, a self-report-based model could significantly reduce the cost of assessing CHD risk in the target populations of community-based heart health programs. Although further research will be necessary to develop a complete self-report-based CHD risk prediction model, the results of the present study clearly indicate that this line of research has significant potential to enhance the evaluation of heart health promotion programs.

Additional Information

Canadian Journal of Program Evaluation, Vol. 12, No. 1, pp 31-46, (Summer 1997)
Language: English
Date: 1997
Multivariate equation, Coronary heart disease (CHD) risk, Framingham risk prediction model

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