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Predicting intentions and behaviours in populations with or at-risk of diabetes: A systematic review
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. Stu...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4721339/ https://www.ncbi.nlm.nih.gov/pubmed/26844083 http://dx.doi.org/10.1016/j.pmedr.2015.04.006 |
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author | Akbar, Heena Anderson, Debra Gallegos, Danielle |
author_facet | Akbar, Heena Anderson, Debra Gallegos, Danielle |
author_sort | Akbar, Heena |
collection | PubMed |
description | 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 was 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. |
format | Online Article Text |
id | pubmed-4721339 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-47213392016-02-03 Predicting intentions and behaviours in populations with or at-risk of diabetes: A systematic review Akbar, Heena Anderson, Debra Gallegos, Danielle Prev Med Rep Review 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 was 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. Elsevier 2015-04-14 /pmc/articles/PMC4721339/ /pubmed/26844083 http://dx.doi.org/10.1016/j.pmedr.2015.04.006 Text en © 2015 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Review Akbar, Heena Anderson, Debra Gallegos, Danielle Predicting intentions and behaviours in populations with or at-risk of diabetes: A systematic review |
title | Predicting intentions and behaviours in populations with or at-risk of diabetes: A systematic review |
title_full | Predicting intentions and behaviours in populations with or at-risk of diabetes: A systematic review |
title_fullStr | Predicting intentions and behaviours in populations with or at-risk of diabetes: A systematic review |
title_full_unstemmed | Predicting intentions and behaviours in populations with or at-risk of diabetes: A systematic review |
title_short | Predicting intentions and behaviours in populations with or at-risk of diabetes: A systematic review |
title_sort | predicting intentions and behaviours in populations with or at-risk of diabetes: a systematic review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4721339/ https://www.ncbi.nlm.nih.gov/pubmed/26844083 http://dx.doi.org/10.1016/j.pmedr.2015.04.006 |
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