Literature DB >> 29226917

Toward research-tested mobile health interventions to prevent diabetes and cardiovascular disease among persons with pre-diabetes.

Steven S Coughlin1,2, Jessica Lynn Stewart1.   

Abstract

BACKGROUND: About 35% of US adults have pre-diabetes and an increased risk of diabetes. Consumer-facing devices such as the Fitbit help users become more physically active and manage their weight which reduces risk of diabetes and cardiovascular disease.
METHODS: In this commentary we provide a summary of healthy lifestyle intervention studies involving persons with pre-diabetes including those conducted in routine clinical practice. We also provide an account of how such interventions might be enhanced through the use of wearable devices linked to smartphone applications.
RESULTS: In initial trials focusing on overweight and obesity, consumer wearable devices have been shown to increase physical activity and reduce weight. However, the acceptability and effectiveness of these mHealth interventions among persons with impaired glucose tolerance or impaired fasting glucose is unknown; studies involving persons with pre-diabetes have not yet been reported.
CONCLUSIONS: Research is needed to determine the feasibility and efficacy of wearable devices in improving physical activity and weight management in persons with pre-diabetes who are at-risk of diabetes and cardiovascular disease.

Entities:  

Keywords:  Impaired fasting glucose; impaired glucose tolerance; obesity; physical activity; pre-diabetes; randomized controlled trials; smartphone applications; weight loss

Year:  2017        PMID: 29226917      PMCID: PMC5721672          DOI: 10.21037/jhmhp.2017.11.02

Source DB:  PubMed          Journal:  J Hosp Manag Health Policy        ISSN: 2523-2533


  35 in total

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Journal:  Telemed J E Health       Date:  2011-10-19       Impact factor: 3.536

2.  Randomized Trial of a Fitbit-Based Physical Activity Intervention for Women.

Authors:  Lisa A Cadmus-Bertram; Bess H Marcus; Ruth E Patterson; Barbara A Parker; Brittany L Morey
Journal:  Am J Prev Med       Date:  2015-06-10       Impact factor: 5.043

3.  Sustained reduction in the incidence of type 2 diabetes by lifestyle intervention: follow-up of the Finnish Diabetes Prevention Study.

Authors:  Jaana Lindström; Pirjo Ilanne-Parikka; Markku Peltonen; Sirkka Aunola; Johan G Eriksson; Katri Hemiö; Helena Hämäläinen; Pirjo Härkönen; Sirkka Keinänen-Kiukaanniemi; Mauri Laakso; Anne Louheranta; Marjo Mannelin; Merja Paturi; Jouko Sundvall; Timo T Valle; Matti Uusitupa; Jaakko Tuomilehto
Journal:  Lancet       Date:  2006-11-11       Impact factor: 79.321

4.  Translating the Diabetes Prevention Program lifestyle intervention for weight loss into primary care: a randomized trial.

Authors:  Jun Ma; Veronica Yank; Lan Xiao; Philip W Lavori; Sandra R Wilson; Lisa G Rosas; Randall S Stafford
Journal:  JAMA Intern Med       Date:  2013-01-28       Impact factor: 21.873

5.  Projection of the year 2050 burden of diabetes in the US adult population: dynamic modeling of incidence, mortality, and prediabetes prevalence.

Authors:  James P Boyle; Theodore J Thompson; Edward W Gregg; Lawrence E Barker; David F Williamson
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6.  Tweeting to Health: A Novel mHealth Intervention Using Fitbits and Twitter to Foster Healthy Lifestyles.

Authors:  Arlene E Chung; Asheley C Skinner; Stephanie E Hasty; Eliana M Perrin
Journal:  Clin Pediatr (Phila)       Date:  2016-07-19       Impact factor: 1.168

Review 7.  A narrative systematic review of factors affecting diabetes prevention in primary care settings.

Authors:  Josie Messina; Stephen Campbell; Rebecca Morris; Emily Eyles; Caroline Sanders
Journal:  PLoS One       Date:  2017-05-22       Impact factor: 3.240

Review 8.  Reduction of diabetes risk in routine clinical practice: are physical activity and nutrition interventions feasible and are the outcomes from reference trials replicable? A systematic review and meta-analysis.

Authors:  Magnolia Cardona-Morrell; Lucie Rychetnik; Stephen L Morrell; Paola T Espinel; Adrian Bauman
Journal:  BMC Public Health       Date:  2010-10-29       Impact factor: 3.295

9.  A lifestyle intervention supported by mobile health technologies to improve the cardiometabolic risk profile of individuals at risk for cardiovascular disease and type 2 diabetes: study rationale and protocol.

Authors:  Melanie I Stuckey; Sheree Shapiro; Dawn P Gill; Robert J Petrella
Journal:  BMC Public Health       Date:  2013-11-07       Impact factor: 3.295

10.  A Formative Evaluation of a Diabetes Prevention Program Using the RE-AIM Framework in a Learning Health Care System, Utah, 2013-2015.

Authors:  Kimberly D Brunisholz; Jaewhan Kim; Lucy A Savitz; Mia Hashibe; Lisa H Gren; Sharon Hamilton; Kelly Huynh; Elizabeth A Joy
Journal:  Prev Chronic Dis       Date:  2017-07-20       Impact factor: 2.830

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2.  Diet-Related Mobile Apps to Promote Healthy Eating and Proper Nutrition: A Content Analysis and Quality Assessment.

Authors:  Jihye Choi; Chongwook Chung; Hyekyung Woo
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  2 in total

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