Literature DB >> 28566984

Can mHealth Revolutionize the Way We Manage Adult Obesity?

Niharika N Bhardwaj1, Bezawit Wodajo1, Keerthi Gochipathala1, David P Paul2, Alberto Coustasse3.   

Abstract

Obesity is the largest driver of chronic preventable diseases, accounting for an estimated $147 billion or 10 percent of total US healthcare costs in 2008. It has been forecasted that 42 percent of Americans will be obese by 2030. Mobile health (mHealth) technologies target and may modify the behavioral factors that lead to obesity to promote a healthy lifestyle. These technologies could potentially reduce the cost and the morbidity and mortality burden of obesity because of their inexpensive and portable nature. This study aimed to analyze the efficacy and cost-effectiveness of mHealth interventions for adult obesity in the United States. The methodology used in this study was a literature review of 54 articles. Weight, body mass index (BMI), waist circumference reductions, and favorable lifestyle behavior changes were noted across most studies. Existing data and research on efficacy and linked costs indicated that mHealth technologies were more effective than other methods and could be inexpensively delivered remotely to manage adult obesity, offering significant benefits over conventional care. Further studies on the costs and benefits of adapting such mHealth interventions in clinical settings are needed.

Entities:  

Keywords:  adult; cost; efficacy; mHealth interventions; obesity

Mesh:

Year:  2017        PMID: 28566984      PMCID: PMC5430129     

Source DB:  PubMed          Journal:  Perspect Health Inf Manag        ISSN: 1559-4122


  42 in total

1.  Intelligent obesity interventions using Smartphones.

Authors:  Luke Wolfenden; Leah Brennan; Ben I Britton
Journal:  Prev Med       Date:  2010-09-17       Impact factor: 4.018

2.  Desired features of smartphone applications promoting physical activity.

Authors:  Carolyn Rabin; Beth Bock
Journal:  Telemed J E Health       Date:  2011-10-19       Impact factor: 3.536

3.  Innovation to motivation--pilot study of a mobile phone intervention to increase physical activity among sedentary women.

Authors:  Yoshimi Fukuoka; Eric Vittinghoff; So Son Jong; William Haskell
Journal:  Prev Med       Date:  2010-06-17       Impact factor: 4.018

4.  Integrating technology into standard weight loss treatment: a randomized controlled trial.

Authors:  Bonnie Spring; Jennifer M Duncan; E Amy Janke; Andrea T Kozak; H Gene McFadden; Andrew DeMott; Alex Pictor; Leonard H Epstein; Juned Siddique; Christine A Pellegrini; Joanna Buscemi; Donald Hedeker
Journal:  JAMA Intern Med       Date:  2013-01-28       Impact factor: 21.873

5.  Contribution of behavior intervention components to 24-month weight loss.

Authors:  Jessica L Unick; John M Jakicic; Bess H Marcus
Journal:  Med Sci Sports Exerc       Date:  2010-04       Impact factor: 5.411

Review 6.  Innovative interventions to promote behavioral change in overweight or obese individuals: A review of the literature.

Authors:  Daniel E Okorodudu; Hayden B Bosworth; Leonor Corsino
Journal:  Ann Med       Date:  2014-07-10       Impact factor: 4.709

Review 7.  Interventions employing mobile technology for overweight and obesity: an early systematic review of randomized controlled trials.

Authors:  R Bacigalupo; P Cudd; C Littlewood; P Bissell; M S Hawley; H Buckley Woods
Journal:  Obes Rev       Date:  2012-11-20       Impact factor: 9.213

8.  The efficacy of a daily self-weighing weight loss intervention using smart scales and e-mail.

Authors:  Dori M Steinberg; Deborah F Tate; Gary G Bennett; Susan Ennett; Carmen Samuel-Hodge; Dianne S Ward
Journal:  Obesity (Silver Spring)       Date:  2013-07-02       Impact factor: 5.002

9.  Health-e-call, a smartphone-assisted behavioral obesity treatment: pilot study.

Authors:  J Graham Thomas; Rena R Wing
Journal:  JMIR Mhealth Uhealth       Date:  2013-04-17       Impact factor: 4.773

10.  Web-Based and Mobile Delivery of an Episodic Future Thinking Intervention for Overweight and Obese Families: A Feasibility Study.

Authors:  Yan Yan Sze; Tinuke Oluyomi Daniel; Colleen K Kilanowski; R Lorraine Collins; Leonard H Epstein
Journal:  JMIR Mhealth Uhealth       Date:  2015-12-16       Impact factor: 4.773

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  13 in total

1.  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

2.  The Quality of Indian Obesity-Related mHealth Apps: PRECEDE-PROCEED Model-Based Content Analysis.

Authors:  Shanmuga Nathan Selvaraj; Arulchelvan Sriram
Journal:  JMIR Mhealth Uhealth       Date:  2022-05-11       Impact factor: 4.947

3.  Effectiveness of Mobile Health Interventions on Diabetes and Obesity Treatment and Management: Systematic Review of Systematic Reviews.

Authors:  Youfa Wang; Jungwon Min; Jacob Khuri; Hong Xue; Bo Xie; Leonard A Kaminsky; Lawrence J Cheskin
Journal:  JMIR Mhealth Uhealth       Date:  2020-04-28       Impact factor: 4.773

4.  Understanding the Effect of Adding Automated and Human Coaching to a Mobile Health Physical Activity App for Afghanistan and Iraq Veterans: Protocol for a Randomized Controlled Trial of the Stay Strong Intervention.

Authors:  Lorraine R Buis; Felicia A McCant; Jennifer M Gierisch; Lori A Bastian; Eugene Z Oddone; Caroline R Richardson; Hyungjin Myra Kim; Richard Evans; Gwendolyn Hooks; Reema Kadri; Courtney White-Clark; Laura J Damschroder
Journal:  JMIR Res Protoc       Date:  2019-01-29

5.  A Digital Health Weight Loss Program in 250,000 Individuals.

Authors:  Conor Senecal; Robert Jay Widmer; Beth R Larrabee; Mariza de Andrade; Lilach O Lerman; Amir Lerman; Francisco Lopez-Jimenez
Journal:  J Obes       Date:  2020-03-26

6.  Formative Evaluation of a Smartphone App for Monitoring Daily Meal Distribution and Food Selection in Adolescents: Acceptability and Usability Study.

Authors:  Billy Langlet; Christos Maramis; Christos Diou; Nikolaos Maglaveras; Petter Fagerberg; Rachel Heimeier; Irini Lekka; Anastasios Delopoulos; Ioannis Ioakimidis
Journal:  JMIR Mhealth Uhealth       Date:  2020-07-21       Impact factor: 4.773

7.  Effect of Adding Telephone-Based Brief Coaching to an mHealth App (Stay Strong) for Promoting Physical Activity Among Veterans: Randomized Controlled Trial.

Authors:  Laura J Damschroder; Lorraine R Buis; Felicia A McCant; Hyungjin Myra Kim; Richard Evans; Eugene Z Oddone; Lori A Bastian; Gwendolyn Hooks; Reema Kadri; Courtney White-Clark; Caroline R Richardson; Jennifer M Gierisch
Journal:  J Med Internet Res       Date:  2020-08-04       Impact factor: 5.428

Review 8.  Identification of the minimum data set to design a mobile-based application on overweight and obesity management for children and adolescents.

Authors:  Elmira Hajizadeh; Leila Shahmoradi; Maryam Mahmoodi; Amir Rakhshan; Reza Nazari; Saeed Barzgari
Journal:  J Diabetes Metab Disord       Date:  2021-05-11

9.  Cross-National Outcomes of a Digital Weight Loss Intervention in the United States, Canada, United Kingdom and Ireland, and Australia and New Zealand: A Retrospective Analysis.

Authors:  Qiuchen Yang; Ellen Siobhan Mitchell; Annabell S Ho; Laura DeLuca; Heather Behr; Andreas Michaelides
Journal:  Front Public Health       Date:  2021-06-10

10.  Long-term Effectiveness of a Smartphone App Combined With a Smart Band on Weight Loss, Physical Activity, and Caloric Intake in a Population With Overweight and Obesity (Evident 3 Study): Randomized Controlled Trial.

Authors:  Manuel A Gomez-Marcos; Luis Garcia-Ortiz; Cristina Lugones-Sanchez; Jose I Recio-Rodriguez; Cristina Agudo-Conde; Irene Repiso-Gento; Esther G Adalia; José Ignacio Ramirez-Manent; Maria Antonia Sanchez-Calavera; Emiliano Rodriguez-Sanchez
Journal:  J Med Internet Res       Date:  2022-02-01       Impact factor: 5.428

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