Predicting diabetic self-care management based on the theory of planned behavior among elderly with type 2 diabetes in Thailand

BACKGROUND: Type 2 diabetes, especially in the elderly, continues to plague the world. Thailand – a developing country – is not immune to these ravage effects and their distressing upsurge in health and economic societal burdens. Self-care management is an essential strategy to p...

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Autor principal: Paleeratana Wongrith
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RU
Publicado: Endocrinology Research Centre 2019
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spelling oai:doaj.org-article:3ffba075d7b841beb21be863b74522cb2021-11-14T09:00:22ZPredicting diabetic self-care management based on the theory of planned behavior among elderly with type 2 diabetes in Thailand2072-03512072-037810.14341/DM10290https://doaj.org/article/3ffba075d7b841beb21be863b74522cb2019-10-01T00:00:00Zhttps://www.dia-endojournals.ru/jour/article/view/10290https://doaj.org/toc/2072-0351https://doaj.org/toc/2072-0378BACKGROUND: Type 2 diabetes, especially in the elderly, continues to plague the world. Thailand – a developing country – is not immune to these ravage effects and their distressing upsurge in health and economic societal burdens. Self-care management is an essential strategy to prevent complications and reduce type 2 diabetes complications. AIM: This study aimed to examine the treatment outcome and factors predicting diabetes self-care behaviors among elderly in Thailand. METHODS: A cross-sectional correlative predictive design using multiple linear regression models to evaluate data in elderly type 2 diabetics in Thailand (August through December 2017) to assess perceived behavioral control on diabetic self-care management. One hundred thirty-four participant’s data were collected via questionnaire along with individual health records becoming the foundation of this study. RESULTS: Most patients controlled glycemic outcome (77.9 %) through self-care behaviors at moderate rates (majority – 55.9%). Subjective norms and perceived control strongly correlated with behavioral intention and self-care behaviors. Perceived behavioral control was the most important factor predicting intentions (β 4.025, p < .01) and self-care management behavior (β15.258, p < .001). Patients responding to items regarding self-care behavior for diet, exercise and medication adherence showed favorable outcomes. CONCLUSION: More than half of the patients had moderate levels in self-care management and the majority had good glycemic outcomes. From the analysis, we find that perceived behavioral control is critical to predicting behavioral intention and diabetic self-care behavior among the elderly.Paleeratana WongrithEndocrinology Research Centrearticlediabetic self-care managementperceived behavioral controlglycemic controlelderlythailandNutritional diseases. Deficiency diseasesRC620-627ENRUСахарный диабет, Vol 22, Iss 4, Pp 367-376 (2019)
institution DOAJ
collection DOAJ
language EN
RU
topic diabetic self-care management
perceived behavioral control
glycemic control
elderly
thailand
Nutritional diseases. Deficiency diseases
RC620-627
spellingShingle diabetic self-care management
perceived behavioral control
glycemic control
elderly
thailand
Nutritional diseases. Deficiency diseases
RC620-627
Paleeratana Wongrith
Predicting diabetic self-care management based on the theory of planned behavior among elderly with type 2 diabetes in Thailand
description BACKGROUND: Type 2 diabetes, especially in the elderly, continues to plague the world. Thailand – a developing country – is not immune to these ravage effects and their distressing upsurge in health and economic societal burdens. Self-care management is an essential strategy to prevent complications and reduce type 2 diabetes complications. AIM: This study aimed to examine the treatment outcome and factors predicting diabetes self-care behaviors among elderly in Thailand. METHODS: A cross-sectional correlative predictive design using multiple linear regression models to evaluate data in elderly type 2 diabetics in Thailand (August through December 2017) to assess perceived behavioral control on diabetic self-care management. One hundred thirty-four participant’s data were collected via questionnaire along with individual health records becoming the foundation of this study. RESULTS: Most patients controlled glycemic outcome (77.9 %) through self-care behaviors at moderate rates (majority – 55.9%). Subjective norms and perceived control strongly correlated with behavioral intention and self-care behaviors. Perceived behavioral control was the most important factor predicting intentions (β 4.025, p < .01) and self-care management behavior (β15.258, p < .001). Patients responding to items regarding self-care behavior for diet, exercise and medication adherence showed favorable outcomes. CONCLUSION: More than half of the patients had moderate levels in self-care management and the majority had good glycemic outcomes. From the analysis, we find that perceived behavioral control is critical to predicting behavioral intention and diabetic self-care behavior among the elderly.
format article
author Paleeratana Wongrith
author_facet Paleeratana Wongrith
author_sort Paleeratana Wongrith
title Predicting diabetic self-care management based on the theory of planned behavior among elderly with type 2 diabetes in Thailand
title_short Predicting diabetic self-care management based on the theory of planned behavior among elderly with type 2 diabetes in Thailand
title_full Predicting diabetic self-care management based on the theory of planned behavior among elderly with type 2 diabetes in Thailand
title_fullStr Predicting diabetic self-care management based on the theory of planned behavior among elderly with type 2 diabetes in Thailand
title_full_unstemmed Predicting diabetic self-care management based on the theory of planned behavior among elderly with type 2 diabetes in Thailand
title_sort predicting diabetic self-care management based on the theory of planned behavior among elderly with type 2 diabetes in thailand
publisher Endocrinology Research Centre
publishDate 2019
url https://doaj.org/article/3ffba075d7b841beb21be863b74522cb
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