Literature DB >> 28507010

A Systematic Review of Application and Effectiveness of mHealth Interventions for Obesity and Diabetes Treatment and Self-Management.

Youfa Wang1,2, Hong Xue3,2, Yaqi Huang3, Lili Huang4, Dongsong Zhang5,6.   

Abstract

The use of mobile and wireless technologies and wearable devices for improving health care processes and outcomes (mHealth) is promising for health promotion among patients with chronic diseases such as obesity and diabetes. This study comprehensively examined published mHealth intervention studies for obesity and diabetes treatment and management to assess their effectiveness and provide recommendations for future research. We systematically searched PubMed for mHealth-related studies on diabetes and obesity treatment and management published during 2000-2016. Relevant information was extracted and analyzed. Twenty-four studies met inclusion criteria and varied in terms of sample size, ethnicity, gender, and age of the participating patients and length of follow-up. The mHealth interventions were categorized into 3 types: mobile phone text messaging, wearable or portable monitoring devices, and applications running on smartphones. Primary outcomes included weight loss (an average loss ranging from -1.97 kg in 16 wk to -7.1 kg in 5 wk) or maintenance and blood glucose reduction (an average decrease of glycated hemoglobin ranging from -0.4% in 10 mo to -1.9% in 12 mo); main secondary outcomes included behavior changes and patient perceptions such as self-efficacy and acceptability of the intervention programs. More than 50% of studies reported positive effects of interventions based on primary outcomes. The duration or length of intervention ranged from 1 wk to 24 mo. However, most studies included small samples and short intervention periods and did not use rigorous data collection or analytic approaches. Although some studies suggest that mHealth interventions are effective and promising, most are pilot studies or have limitations in their study designs. There is an essential need for future studies that use larger study samples, longer intervention (≥ 6 mo) and follow-up periods (≥ 6 mo), and integrative and personalized innovative mobile technologies to provide comprehensive and sustainable support for patients and health service providers.
© 2017 American Society for Nutrition.

Entities:  

Keywords:  diabetes; intervention; mHealth; obesity; overweight

Mesh:

Substances:

Year:  2017        PMID: 28507010      PMCID: PMC5421120          DOI: 10.3945/an.116.014100

Source DB:  PubMed          Journal:  Adv Nutr        ISSN: 2161-8313            Impact factor:   8.701


  50 in total

1.  Translating exercise intentions into behavior: personality and social cognitive correlates.

Authors:  Ryan E Rhodes; Kerry S Courneya; Lee W Jones
Journal:  J Health Psychol       Date:  2003-07

2.  Mobile technology for obesity prevention: a randomized pilot study in racial- and ethnic-minority girls.

Authors:  Nicole L Nollen; Matthew S Mayo; Susan E Carlson; Michael A Rapoff; Kathy J Goggin; Edward F Ellerbeck
Journal:  Am J Prev Med       Date:  2014-04       Impact factor: 5.043

3.  Evaluation of mobile phone and Internet intervention on waist circumference and blood pressure in post-menopausal women with abdominal obesity.

Authors:  Min-Jeong Park; Hee-Seung Kim
Journal:  Int J Med Inform       Date:  2012-01-21       Impact factor: 4.046

4.  An electronic system (PDA) to record dietary and physical activity in obese adolescents; data about efficiency and feasibility.

Authors:  Elia Oliver; Rosa M Baños; Ausiàs Cebolla; Empar Lurbe; Julio Alvarez-Pitti; Cristina Botella
Journal:  Nutr Hosp       Date:  2013-11-01       Impact factor: 1.057

Review 5.  Type 2 diabetes in Asians: prevalence, risk factors, and effectiveness of behavioral intervention at individual and population levels.

Authors:  Mary Beth Weber; Reena Oza-Frank; Lisa R Staimez; Mohammed K Ali; K M Venkat Narayan
Journal:  Annu Rev Nutr       Date:  2012-04-17       Impact factor: 11.848

6.  Active assistance technology reduces glycosylated hemoglobin and weight in individuals with type 2 diabetes: results of a theory-based randomized trial.

Authors:  Anna-Leena Orsama; Jaakko Lähteenmäki; Kari Harno; Minna Kulju; Eva Wintergerst; Holly Schachner; Pat Stenger; Juha Leppänen; Hannu Kaijanranta; Ville Salaspuro; William A Fisher
Journal:  Diabetes Technol Ther       Date:  2013-07-11       Impact factor: 6.118

Review 7.  National, regional, and global trends in fasting plasma glucose and diabetes prevalence since 1980: systematic analysis of health examination surveys and epidemiological studies with 370 country-years and 2·7 million participants.

Authors:  Goodarz Danaei; Mariel M Finucane; Yuan Lu; Gitanjali M Singh; Melanie J Cowan; Christopher J Paciorek; John K Lin; Farshad Farzadfar; Young-Ho Khang; Gretchen A Stevens; Mayuree Rao; Mohammed K Ali; Leanne M Riley; Carolyn A Robinson; Majid Ezzati
Journal:  Lancet       Date:  2011-06-24       Impact factor: 79.321

8.  Cluster-randomized trial of a mobile phone personalized behavioral intervention for blood glucose control.

Authors:  Charlene C Quinn; Michelle D Shardell; Michael L Terrin; Erik A Barr; Shoshana H Ballew; Ann L Gruber-Baldini
Journal:  Diabetes Care       Date:  2011-07-25       Impact factor: 19.112

9.  Effectiveness of a mHealth Lifestyle Program With Telephone Support (TXT2BFiT) to Prevent Unhealthy Weight Gain in Young Adults: Randomized Controlled Trial.

Authors:  Stephanie R Partridge; Kevin McGeechan; Lana Hebden; Kate Balestracci; Annette Ty Wong; Elizabeth Denney-Wilson; Mark F Harris; Philayrath Phongsavan; Adrian Bauman; Margaret Allman-Farinelli
Journal:  JMIR Mhealth Uhealth       Date:  2015-06-15       Impact factor: 4.773

Review 10.  Mobile health applications for the most prevalent conditions by the World Health Organization: review and analysis.

Authors:  Borja Martínez-Pérez; Isabel de la Torre-Díez; Miguel López-Coronado
Journal:  J Med Internet Res       Date:  2013-06-14       Impact factor: 5.428

View more
  74 in total

1.  Exploring app features with outcomes in mHealth studies involving chronic respiratory diseases, diabetes, and hypertension: a targeted exploration of the literature.

Authors:  Sara Belle Donevant; Robin Dawson Estrada; Joan Marie Culley; Brian Habing; Swann Arp Adams
Journal:  J Am Med Inform Assoc       Date:  2018-10-01       Impact factor: 4.497

2.  SMART: Study protocol for a sequential multiple assignment randomized controlled trial to optimize weight loss management.

Authors:  Angela Fidler Pfammatter; Inbal Nahum-Shani; Margaret DeZelar; Laura Scanlan; H Gene McFadden; Juned Siddique; Donald Hedeker; Bonnie Spring
Journal:  Contemp Clin Trials       Date:  2019-05-23       Impact factor: 2.226

3.  On the Promise and Peril of Technology for Population Health: A Public Health of Consequence, November 2017.

Authors:  Sandro Galea; Roger D Vaughan
Journal:  Am J Public Health       Date:  2017-11       Impact factor: 9.308

Review 4.  Technology Interventions to Manage Food Intake: Where Are We Now?

Authors:  Margaret Allman-Farinelli; Luke Gemming
Journal:  Curr Diab Rep       Date:  2017-09-23       Impact factor: 4.810

Review 5.  Remotely Delivered Interventions for Obesity Treatment.

Authors:  Lauren E Bradley; Christine E Smith-Mason; Joyce A Corsica; Mackenzie C Kelly; Megan M Hood
Journal:  Curr Obes Rep       Date:  2019-12

6.  Self-regulatory behaviour change techniques in interventions to promote healthy eating, physical activity, or weight loss: a meta-review.

Authors:  Bonnie Spring; Katrina E Champion; Rebecca Acabchuk; Emily A Hennessy
Journal:  Health Psychol Rev       Date:  2020-02-17

Review 7.  Technological Advancements in the Management of Type 2 Diabetes.

Authors:  Abigail Kennedy Grant; Lauren Golden
Journal:  Curr Diab Rep       Date:  2019-12-20       Impact factor: 4.810

Review 8.  A Scoping Review and General User's Guide for Facilitating the Successful Use of eHealth Programs for Diabetes in Clinical Care.

Authors:  Lawrence Fisher; Russell E Glasgow; Amy Huebschmann
Journal:  Diabetes Technol Ther       Date:  2020-08-31       Impact factor: 6.118

Review 9.  Mobile Apps to Improve Medication Adherence in Cardiovascular Disease: Systematic Review and Meta-analysis.

Authors:  Shahd Al-Arkee; Julie Mason; Deirdre A Lane; Larissa Fabritz; Winnie Chua; M Sayeed Haque; Zahraa Jalal
Journal:  J Med Internet Res       Date:  2021-05-25       Impact factor: 5.428

Review 10.  Blood Sugar Regulation for Cardiovascular Health Promotion and Disease Prevention: JACC Health Promotion Series.

Authors:  Peter E H Schwarz; Patrick Timpel; Lorenz Harst; Colin J Greaves; Mohammed K Ali; Jeffrey Lambert; Mary Beth Weber; Mohamad M Almedawar; Henning Morawietz
Journal:  J Am Coll Cardiol       Date:  2018-10-09       Impact factor: 24.094

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.