Abstract
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. 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.
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