eHealth technologies to support nutrition and physical activity behaviors in diabetes self-management
Megan E Rollo,1 Elroy J Aguiar,2 Rebecca L Williams,1 Katie Wynne,3 Michelle Kriss,3 Robin Callister,4 Clare E Collins1 1School of Health Sciences, Faculty of Health and Medicine, Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Callaghan, NSW, Australia; 2Depar...
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| Autores principales: | , , , , , , |
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| Formato: | article |
| Lenguaje: | EN |
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Dove Medical Press
2016
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| Acceso en línea: | https://doaj.org/article/3c3418e7537a4e78b96fd5ea509ef66d |
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| Sumario: | Megan E Rollo,1 Elroy J Aguiar,2 Rebecca L Williams,1 Katie Wynne,3 Michelle Kriss,3 Robin Callister,4 Clare E Collins1 1School of Health Sciences, Faculty of Health and Medicine, Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Callaghan, NSW, Australia; 2Department of Kinesiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA, USA; 3Department of Diabetes and Endocrinology, John Hunter Hospital, Hunter New England Health, New Lambton, NSW, Australia; 4School of Biomedical Sciences and Pharmacy, Faculty of Health and Medicine, Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Callaghan, NSW, Australia Abstract: Diabetes is a chronic, complex condition requiring sound knowledge and self-management skills to optimize glycemic control and health outcomes. Dietary intake and physical activity are key diabetes self-management (DSM) behaviors that require tailored education and support. Electronic health (eHealth) technologies have a demonstrated potential for assisting individuals with DSM behaviors. This review provides examples of technologies used to support nutrition and physical activity behaviors in the context of DSM. Technologies covered include those widely used for DSM, such as web-based programs and mobile phone and smartphone applications. In addition, examples of novel tools such as virtual and augmented reality, video games, computer vision for dietary carbohydrate monitoring, and wearable devices are provided. The challenges to, and facilitators for, the use of eHealth technologies in DSM are discussed. Strategies to support the implementation of eHealth technologies within practice and suggestions for future research to enhance nutrition and physical activity behaviors as a part of broader DSM are provided. Keywords: diabetes self-management, eHealth, nutrition, physical activity, smartphones, wearables |
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