Predicting intentions and behaviours in populations with or at-risk of diabetes: A systematic review

Akbar, Heena, Anderson, Debra J., & Gallegos, Danielle (2015) Predicting intentions and behaviours in populations with or at-risk of diabetes: A systematic review. Preventive Medicine Reports, 2, pp. 270-282.

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Abstract

Purpose

To systematically review the Theory of Planned Behaviour studies predicting self-care intentions and behaviours in populations with and at-risk of diabetes.

Methods

A systematic review using six electronic databases was conducted in 2013. A standardised protocol was used for appraisal. Studies eligibility included a measure of behaviour for healthy eating, physical activity, glucose monitoring, medication use (ii) the TPB variables (iii) the TPB tested in populations with diabetes or at-risk.

Results

Sixteen studies were appraised for testing the utility of the TPB. Studies included cross-sectional (n=7); prospective (n=5) and randomised control trials (n=4). Intention (18% – 76%) was the most predictive construct for all behaviours. Explained variance for intentions were similar across cross-sectional (28 -76%); prospective (28 -73%); and RCT studies (18 - 63%). RCTs (18 - 43%) provided slightly stronger evidence for predicting behaviour.

Conclusions

Few studies tested predictability of the TPB in populations with or at-risk of diabetes. This review highlighted differences in the predictive utility of the TPB suggesting that the model is behaviour and population specific. Findings on key determinants of specific behaviours contribute to a better understanding of mechanisms of behaviour change and are useful in designing targeted behavioural interventions for different diabetes populations.

Impact and interest:

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ID Code: 83192
Item Type: Journal Article
Refereed: Yes
Additional URLs:
Keywords: Theory of planned behaviour, predicting diabetes behaviour, diabetes management
DOI: 10.1016/j.pmedr.2015.04.006
ISSN: 2211-3355
Subjects: Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000) > NURSING (111000) > Nursing not elsewhere classified (111099)
Divisions: Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Copyright Owner: Copyright 2015 The Authors. Published by Elsevier Inc.
Copyright Statement: This is an open access article under the CC BY-NC-ND license
(http://creativecommons.org/licenses/by-nc-nd/4.0/).
Deposited On: 08 Apr 2015 00:04
Last Modified: 24 Jun 2017 13:02

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