Potential Utility of Self-Report Measures of Affect to Optimise Exercise Adherence in People with Type 2 Diabetes

Abstract

Background: Exercise is essential for managing type 2 diabetes, however approximately only 40% of people with the condition meet guidelines. The aim of this review is to examine the evidence regarding the use self-report measures of affect to understand and predict exercise adherence. Self-reported affect has been successfully used to regulate exercise intensity, monitor training load, prevent injury, and predict future physical activity participation in otherwise healthy and some clinical populations.

Conclusion: Specific recommendations are provided for research to explore the utility of self-report measures of affect to promote exercise adherence in people with type 2 diabetes.