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

被引:195
作者
Wang, Youfa [1 ,2 ]
Xue, Hong [1 ,2 ]
Huang, Yaqi [1 ]
Huang, Lili [3 ]
Zhang, Dongsong [4 ,5 ]
机构
[1] Ball State Univ, Coll Hlth, Fisher Inst Hlth & Well Being, Syst Oriented Global Childhood Obes Intervent Pro, Muncie, IN 47306 USA
[2] Johns Hopkins Univ, Bloomberg Sch Publ Hlth, Baltimore, MD 21205 USA
[3] Jilin Univ, Sch Publ Hlth, Jilin, Peoples R China
[4] North Univ China, Software Sch, Taiyuan, Shanxi, Peoples R China
[5] Univ Maryland Baltimore Cty, Dept Informat Syst, Baltimore, MD 21228 USA
关键词
mHealth; intervention; obesity; overweight; diabetes; WEIGHT-LOSS INTERVENTION; MOBILE PHONE; BEHAVIORAL INTERVENTION; PHYSICAL-ACTIVITY; RISK-FACTORS; LIFE-STYLE; TECHNOLOGY; PREVALENCE; SUPPORT; PREVENTION;
D O I
10.3945/an.116.014100
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
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.
引用
收藏
页码:449 / 462
页数:14
相关论文
共 58 条
[1]  
Ali AA, 2012, IPSN'12: PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON INFORMATION PROCESSING IN SENSOR NETWORKS, P269, DOI 10.1109/IPSN.2012.6920942
[2]   Technology-Assisted Weight Management Interventions: Systematic Review of Clinical Trials [J].
Allen, Jerilyn K. ;
Stephens, Janna ;
Patel, Angel .
TELEMEDICINE AND E-HEALTH, 2014, 20 (12) :1103-1120
[3]  
[Anonymous], J OBES
[4]  
[Anonymous], 2011, GLOBAL OBSERVATORY E
[5]  
[Anonymous], DIAB LAT
[6]  
Bell Amanda M, 2012, J Diabetes Sci Technol, V6, P310
[7]   Electronic health (eHealth) interventions for weight management among racial/ethnic minority adults: a systematic review [J].
Bennett, G. G. ;
Steinberg, D. M. ;
Stoute, C. ;
Lanpher, M. ;
Lane, I. ;
Askew, S. ;
Foley, P. B. ;
Baskin, M. L. .
OBESITY REVIEWS, 2014, 15 :146-158
[8]   B-MOBILE - A Smartphone-Based Intervention to Reduce Sedentary Time in Overweight/Obese Individuals: A Within-Subjects Experimental Trial [J].
Bond, Dale S. ;
Thomas, J. Graham ;
Raynor, Hollie A. ;
Moon, Jon ;
Sieling, Jared ;
Trautvetter, Jennifer ;
Leblond, Tiffany ;
Wing, Rena R. .
PLOS ONE, 2014, 9 (06)
[9]   Using mHealth Technology to Enhance Self-Monitoring for Weight Loss A Randomized Trial [J].
Burke, Lora E. ;
Styn, Mindi A. ;
Sereika, Susan M. ;
Conroy, Molly B. ;
Ye, Lei ;
Glanz, Karen ;
Sevick, Mary Ann ;
Ewing, Linda J. .
AMERICAN JOURNAL OF PREVENTIVE MEDICINE, 2012, 43 (01) :20-26
[10]   The worldwide epidemiology of type 2 diabetes mellitus-present and future perspectives [J].
Chen, Lei ;
Magliano, Dianna J. ;
Zimmet, Paul Z. .
NATURE REVIEWS ENDOCRINOLOGY, 2012, 8 (04) :228-236