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Lifestyle intervention using Internet of Things (IoT) for the elderly: A study protocol for a randomized control trial (the BEST-LIFE study)

Modification of lifestyle habits, including diet and physical activity, is essential for the prevention and control of type 2 diabetes mellitus (T2DM) in elderly patients. However, individualized treatment is more critical for the elderly than for general patients. This study aimed to determine life...

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Autores principales: Kato, Sawako, Ando, Masahiko, Kondo, Takaaki, Yoshida, Yasuko, Honda, Hiroyuki, Maruyama, Shoichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nagoya University 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5995741/
https://www.ncbi.nlm.nih.gov/pubmed/29915435
http://dx.doi.org/10.18999/nagjms.80.2.175
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author Kato, Sawako
Ando, Masahiko
Kondo, Takaaki
Yoshida, Yasuko
Honda, Hiroyuki
Maruyama, Shoichi
author_facet Kato, Sawako
Ando, Masahiko
Kondo, Takaaki
Yoshida, Yasuko
Honda, Hiroyuki
Maruyama, Shoichi
author_sort Kato, Sawako
collection PubMed
description Modification of lifestyle habits, including diet and physical activity, is essential for the prevention and control of type 2 diabetes mellitus (T2DM) in elderly patients. However, individualized treatment is more critical for the elderly than for general patients. This study aimed to determine lifestyle interventions that resulted in lowering hemoglobin A(1c) (HbA(1c)) in Japanese pre- and early diabetic elderly subjects. The BEST-LIFE trial is an ongoing, open-label, 6-month, randomized (1:1) parallel group trial. Subjects with HbA(1c) of ≥5.6%—randomly assigned to the intervention or control group —use wearable monitoring devices loaded with Internet of things (IoT) systems that aids them with self-management and obtaining monthly remote health guidance from a public health nurse. The primary outcome is changes in HbA(1c) after a 6-month intervention relative to the baseline values. The secondary outcome is the change of behavior modification stages. The background, rationale, and study design of this trial are also presented. One hundred forty-five subjects have already been enrolled in this lifestyle intervention program, which will end in 2019. The BEST-LIFE trial will provide new evidence regarding the effectiveness and safety of our program on lowering HbA(1c) in elderly subjects with T2DM. It will also investigate whether information communication technology tools and monitoring devices loaded with IoT can support health care in elderly subjects. The trial registration number is UMIN-CTR: UMIN 000023356.
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spelling pubmed-59957412018-06-18 Lifestyle intervention using Internet of Things (IoT) for the elderly: A study protocol for a randomized control trial (the BEST-LIFE study) Kato, Sawako Ando, Masahiko Kondo, Takaaki Yoshida, Yasuko Honda, Hiroyuki Maruyama, Shoichi Nagoya J Med Sci Original Paper Modification of lifestyle habits, including diet and physical activity, is essential for the prevention and control of type 2 diabetes mellitus (T2DM) in elderly patients. However, individualized treatment is more critical for the elderly than for general patients. This study aimed to determine lifestyle interventions that resulted in lowering hemoglobin A(1c) (HbA(1c)) in Japanese pre- and early diabetic elderly subjects. The BEST-LIFE trial is an ongoing, open-label, 6-month, randomized (1:1) parallel group trial. Subjects with HbA(1c) of ≥5.6%—randomly assigned to the intervention or control group —use wearable monitoring devices loaded with Internet of things (IoT) systems that aids them with self-management and obtaining monthly remote health guidance from a public health nurse. The primary outcome is changes in HbA(1c) after a 6-month intervention relative to the baseline values. The secondary outcome is the change of behavior modification stages. The background, rationale, and study design of this trial are also presented. One hundred forty-five subjects have already been enrolled in this lifestyle intervention program, which will end in 2019. The BEST-LIFE trial will provide new evidence regarding the effectiveness and safety of our program on lowering HbA(1c) in elderly subjects with T2DM. It will also investigate whether information communication technology tools and monitoring devices loaded with IoT can support health care in elderly subjects. The trial registration number is UMIN-CTR: UMIN 000023356. Nagoya University 2018-05 /pmc/articles/PMC5995741/ /pubmed/29915435 http://dx.doi.org/10.18999/nagjms.80.2.175 Text en http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. To view the details of this license, please visit (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Paper
Kato, Sawako
Ando, Masahiko
Kondo, Takaaki
Yoshida, Yasuko
Honda, Hiroyuki
Maruyama, Shoichi
Lifestyle intervention using Internet of Things (IoT) for the elderly: A study protocol for a randomized control trial (the BEST-LIFE study)
title Lifestyle intervention using Internet of Things (IoT) for the elderly: A study protocol for a randomized control trial (the BEST-LIFE study)
title_full Lifestyle intervention using Internet of Things (IoT) for the elderly: A study protocol for a randomized control trial (the BEST-LIFE study)
title_fullStr Lifestyle intervention using Internet of Things (IoT) for the elderly: A study protocol for a randomized control trial (the BEST-LIFE study)
title_full_unstemmed Lifestyle intervention using Internet of Things (IoT) for the elderly: A study protocol for a randomized control trial (the BEST-LIFE study)
title_short Lifestyle intervention using Internet of Things (IoT) for the elderly: A study protocol for a randomized control trial (the BEST-LIFE study)
title_sort lifestyle intervention using internet of things (iot) for the elderly: a study protocol for a randomized control trial (the best-life study)
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5995741/
https://www.ncbi.nlm.nih.gov/pubmed/29915435
http://dx.doi.org/10.18999/nagjms.80.2.175
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