Computer-supported indirect-form lifestyle-modification support program using Lifestyle Intervention Support Software for Diabetes Prevention (LISS-DP) for people with a family history of type 2 diabetes in a medical checkup setting: A randomized controlled trial

Tokunaga-Nakawatase, Yuri; Nishigaki, Masakazu; Taru, Chiemi; Miyawaki, Ikuko; Nishida, Junko; Kosaka, Shiho; Sanada, Hiromi; Kishi, Kazuma

doi:10.1016/j.pcd.2014.01.007

Cited by 13 publications

(21 citation statements)

References 42 publications

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“…Numerous studies showed that type 2 diabetes can be prevented at a rate of 58% by implementing early interventions aimed at altering lifestyle behaviors of high risk groups [6][7][8][9][10]. It is recommended to use two methods for determining high risk populations.…”

Section: Introductionmentioning

confidence: 99%

Prevalence and screening for risk factors of type 2 diabetes in Rize, Nourtheast Turkey: findings from a population-based study

Çevik

Karaaslan²,

Koçan³

et al. 2016

Primary Care Diabetes

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Section: Introductionmentioning

confidence: 99%

Prevalence and screening for risk factors of type 2 diabetes in Rize, Nourtheast Turkey: findings from a population-based study

Çevik

Karaaslan²,

Koçan³

et al. 2016

Primary Care Diabetes

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“…It is a preliminary for an optimal self-management of the disease, along with best quality of life (17,19,21). For example, a trial published by Tokunaga-Nakawatase et al (71) found that in patients with risk for type 2 diabetes, a "computer-based […] lifestyle intervention was effective on dietary habits, [but] only during the intervention period" (71). It allows patients to have access to the learning program whenever they want, is less cost-intensive than a face-to-face learning at a hospital or diabetes center where diabetes educators and a physician have to be present, and it allows learning over long distances.…”

Section: Electronic Teaching and Applications For Smart Devicesmentioning

confidence: 99%

“…However, up to the present there is a lack of high quality data about this heterogeneous field. For example, a trial published by Tokunaga-Nakawatase et al (71) found that in patients with risk for type 2 diabetes, a "computer-based […] lifestyle intervention was effective on dietary habits, [but] only during the intervention period" (71). In a review, Health Quality Ontario (72) reported a statistically significant reduction in HbA1c of about 0.50% in patients with type 2 diabetes and using blood glucose home telemonitoring technologies (72).…”

Section: Electronic Teaching and Applications For Smart Devicesmentioning

confidence: 99%

Technology in Diabetes Treatment: Update and Future

Schiel¹,

Bambauer²,

Steveling

2018

Artificial Organs

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Worldwide the number of people with diabetes mellitus is increasing. There are estimations that diabetes is one of the leading causes of death. The most important goals for the treatment of diabetes are self‐management of the disease and an optimal quality of diabetes control. In the therapy new technologies, like real‐time continuous interstitial glucose monitoring, continuous subcutaneous insulin infusion (CSII), electronic tools for the monitoring of therapeutic approaches, automated bolus calculators for insulin and electronic tools for education and information of patients, have become widespread and play important roles. All these efforts are related to the interaction between patients, caregivers, scientists or researchers and industry. The presentation of different aspects of new technological approaches in the present article should give more information about different technologies. However, because of the rather quickly appearance of new technologies, the presentation can only be a spotlight. Further studies are mandatory to analyze the effects and long‐term benefits of each technology and electronic device.

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“…The studies were carried out in various geographical locations (two in the USA [14,22]; two in the Netherlands [23,[24][25][26]; and one each in Japan [27], Sweden [15][16][17][18] and the UK [28][29][30]).…”

Section: Summary Of Studiesmentioning

confidence: 99%

“…Interventions were delivered to parents and siblings of people with type 2 diabetes [24][25][26]27], offspring only [22,[28][29][30], first degree relatives (relationships not specified) [15][16][17][18]23] or partners [14].…”

Section: Summary Of Studiesmentioning

confidence: 99%

Interventions for prevention of type 2 diabetes in relatives: A systematic review

Dimova

Mohan

Swanson

et al. 2017

Primary Care Diabetes

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The relatives and partners of people with type 2 diabetes are at increased risk of developing type 2 diabetes. This systematic review examines randomized controlled trials, written in English that tested an intervention, which aimed to modify behaviors known to delay or prevent type 2 diabetes, among the relatives or partners of people with type 2 diabetes. Study quality was assessed using the Cochrane Collaboration's tool for assessing risk of bias. Seven studies met the inclusion criteria. The majority of studies were at low risk of bias. Six studies tested an intervention in first-degree relatives of people with type 2 diabetes and one in partners. Intervention components and intervention intensity across studies varied, with those targeting diet and physical activity reporting the most significant changes in primary outcomes. Only one study did not observe significant changes in primary outcomes. There were three main recruitment approaches: advertising in the community, recruiting people through their relatives with diabetes, or identifying people as high risk by screening of their own health care contacts. Some evidence was found for potentially successful interventions to prevent type 2 diabetes among the relatives and partners of people with type 2 diabetes, although finding simple and effective methods to identify and recruit them remains a challenge. Future studies should explore the effect of patients' perceptions on their family members' behavior and capitalize on family relationships in order to increase intervention effectiveness.

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Computer-supported indirect-form lifestyle-modification support program using Lifestyle Intervention Support Software for Diabetes Prevention (LISS-DP) for people with a family history of type 2 diabetes in a medical checkup setting: A randomized controlled trial

Cited by 13 publications

References 42 publications

Prevalence and screening for risk factors of type 2 diabetes in Rize, Nourtheast Turkey: findings from a population-based study

Prevalence and screening for risk factors of type 2 diabetes in Rize, Nourtheast Turkey: findings from a population-based study

Technology in Diabetes Treatment: Update and Future

Interventions for prevention of type 2 diabetes in relatives: A systematic review

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