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

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    Accepted Manuscript (AM)
    Author(s)
    Co, Emily R
    Keating, Shelley Elizabeth
    Coombes, Jeff S
    Burton, Nicola W
    Griffith University Author(s)
    Burton, Nicola W.
    Year published
    2019
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    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 ...
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    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.
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    Journal Title
    Current Diabetes Reviews
    Volume
    14
    DOI
    https://doi.org/10.2174/1573399814666180816165351
    Copyright Statement
    © 2018 Bentham Science Publishers. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. The published manuscript is available at EurekaSelect via 10.2174/1573399814666180816165351.
    Subject
    Clinical sciences
    Clinical sciences not elsewhere classified
    Publication URI
    http://hdl.handle.net/10072/382456
    Collection
    • Journal articles

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