The inherent consequences and prediction of diabetic regimen adherence

Alicia Ann Heapy, Purdue University

Abstract

This study investigated the usefulness of a health behavior model based on operant conditioning principles, the inherent-consequences model (ICM). The ICM was compared to a widely used model of health behavior prediction, the health belief model (HBM). Participants completed measures tapping HBM and ICM variables and recorded their adherence for three consecutive days. Standard and hierarchical regression were used to determine the absolute and relative predictive power of the HBM and the ICM. The ICM model was a significant predictor alone and provided unique predictive power beyond that provided by the HBM of physiological markers and participant-reported adherence measures. This study suggests the ICM warrants further development and investigation as a tool for understanding diabetic regimen adherence.

Degree

Ph.D.

Advisors

Tiffany, Purdue University.

Subject Area

Psychotherapy|Behaviorial sciences|Nursing

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