Literature DB >> 25673817

Mobile phone intervention and weight loss among overweight and obese adults: a meta-analysis of randomized controlled trials.

Fangchao Liu, Xiaomu Kong, Jie Cao, Shufeng Chen, Changwei Li, Jianfeng Huang, Dongfeng Gu, Tanika N Kelly.   

Abstract

We conducted a meta-analysis of randomized controlled trials to examine the association of mobile phone intervention with net change in weight-related measures among overweight and obese adults. We searched electronic databases and conducted a bibliography review to identify articles published between the inception date of each database and March 27, 2014. Fourteen trials (including 1,337 participants in total) that met the eligibility criteria were included. Two investigators independently abstracted information on study characteristics and study outcomes. Net change estimates comparing the intervention group with the control group were pooled across trials using random-effects models. Compared with the control group, mobile phone intervention was associated with significant changes in body weight and body mass index (weight (kg)/height (m)(2)) of -1.44 kg (95% confidence interval (CI): -2.12, -0.76) and -0.24 units (95% CI: -0.40, -0.08), respectively. Subgroup analyses revealed that the associations were consistent across study-duration and intervention-type subgroups. For example, net body weight changes were -0.92 kg (95% CI: -1.58, -0.25) and -1.85 kg (95% CI: -2.99, -0.71) in trials of shorter (<6 months) and longer (≥6 months) duration, respectively. These findings provide evidence that mobile phone intervention may be a useful tool for promoting weight loss among overweight and obese adults.
© The Author 2015. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  behavioral intervention; mobile phones; obesity; overweight; weight loss

Mesh:

Year:  2015        PMID: 25673817      PMCID: PMC4339384          DOI: 10.1093/aje/kwu260

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  45 in total

1.  A randomized controlled trial of Sweet Talk, a text-messaging system to support young people with diabetes.

Authors:  V L Franklin; A Waller; C Pagliari; S A Greene
Journal:  Diabet Med       Date:  2006-12       Impact factor: 4.359

Review 2.  Imputing variance estimates do not alter the conclusions of a meta-analysis with continuous outcomes: a case study of changes in renal function after living kidney donation.

Authors:  H Thiessen Philbrook; N Barrowman; A X Garg
Journal:  J Clin Epidemiol       Date:  2006-10-23       Impact factor: 6.437

Review 3.  Meta-analysis: the effect of dietary counseling for weight loss.

Authors:  Michael L Dansinger; Athina Tatsioni; John B Wong; Mei Chung; Ethan M Balk
Journal:  Ann Intern Med       Date:  2007-07-03       Impact factor: 25.391

4.  Global and regional burden of disease and risk factors, 2001: systematic analysis of population health data.

Authors:  Alan D Lopez; Colin D Mathers; Majid Ezzati; Dean T Jamison; Christopher J L Murray
Journal:  Lancet       Date:  2006-05-27       Impact factor: 79.321

5.  Do u smoke after txt? Results of a randomised trial of smoking cessation using mobile phone text messaging.

Authors:  A Rodgers; T Corbett; D Bramley; T Riddell; M Wills; R-B Lin; M Jones
Journal:  Tob Control       Date:  2005-08       Impact factor: 7.552

Review 6.  Psychological interventions for overweight or obesity.

Authors:  K Shaw; P O'Rourke; C Del Mar; J Kenardy
Journal:  Cochrane Database Syst Rev       Date:  2005-04-18

7.  Clinical implications of obesity with specific focus on cardiovascular disease: a statement for professionals from the American Heart Association Council on Nutrition, Physical Activity, and Metabolism: endorsed by the American College of Cardiology Foundation.

Authors:  Samuel Klein; Lora E Burke; George A Bray; Steven Blair; David B Allison; Xavier Pi-Sunyer; Yuling Hong; Robert H Eckel
Journal:  Circulation       Date:  2004-10-27       Impact factor: 29.690

8.  Evaluating the impact of mobile telephone technology on type 2 diabetic patients' self-management: the NICHE pilot study.

Authors:  Zubaida Faridi; Lauren Liberti; Kerem Shuval; Veronika Northrup; Ather Ali; David L Katz
Journal:  J Eval Clin Pract       Date:  2008-03-24       Impact factor: 2.431

9.  [Effectiveness of an intervention to provide information to patients with hypertension as short text messages and reminders sent to their mobile phone (HTA-Alert)].

Authors:  E Márquez Contreras; M de la Figuera von Wichmann; V Gil Guillén; A Ylla-Catalá; M Figueras; M Balaña; J Naval
Journal:  Aten Primaria       Date:  2004-11-15       Impact factor: 1.137

10.  Using internet and mobile phone technology to deliver an automated physical activity program: randomized controlled trial.

Authors:  Robert Hurling; Michael Catt; Marco De Boni; Bruce William Fairley; Tina Hurst; Peter Murray; Alannah Richardson; Jaspreet Singh Sodhi
Journal:  J Med Internet Res       Date:  2007-04-27       Impact factor: 5.428

View more
  41 in total

Review 1.  Characteristics of Smartphone Applications for Nutrition Improvement in Community Settings: A Scoping Review.

Authors:  Emma Tonkin; Julie Brimblecombe; Thomas Philip Wycherley
Journal:  Adv Nutr       Date:  2017-03-15       Impact factor: 8.701

Review 2.  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

3.  A Randomised Trial of Text Message Support for Reducing Weight Regain Following Sleeve Gastrectomy.

Authors:  Melanie Lauti; Malsha Kularatna; Avinesh Pillai; Andrew G Hill; Andrew D MacCormick
Journal:  Obes Surg       Date:  2018-08       Impact factor: 4.129

4.  Mobile Health (mHealth) Use or Non-Use by Residents of West Virginia.

Authors:  Peter Giacobbi; Patrick Cushing; Alexis Popa; Treah Haggerty; Adam Hansell; Cara Sedney
Journal:  South Med J       Date:  2018-10       Impact factor: 0.954

5.  Association Between Monetary Deposits and Weight Loss in Online Commitment Contracts.

Authors:  Lenard I Lesser; Caroline A Thompson; Harold S Luft
Journal:  Am J Health Promot       Date:  2016-08-08

Review 6.  Innovations in the Use of Interactive Technology to Support Weight Management.

Authors:  D Spruijt-Metz; C K F Wen; G O'Reilly; M Li; S Lee; B A Emken; U Mitra; M Annavaram; G Ragusa; S Narayanan
Journal:  Curr Obes Rep       Date:  2015-12

7.  Patterns of self-monitoring technology use and weight loss in people with overweight or obesity.

Authors:  Michael C Robertson; Margaret Raber; Yue Liao; Ivan Wu; Nathan Parker; Leticia Gatus; Thuan Le; Casey P Durand; Karen M Basen-Engquist
Journal:  Transl Behav Med       Date:  2021-08-13       Impact factor: 3.046

8.  Effectiveness of Digital Interventions for Reducing Behavioral Risks of Cardiovascular Disease in Nonclinical Adult Populations: Systematic Review of Reviews.

Authors:  Natalie Gold; Amy Yau; Benjamin Rigby; Chris Dyke; Elizabeth Alice Remfry; Tim Chadborn
Journal:  J Med Internet Res       Date:  2021-05-14       Impact factor: 5.428

9.  Weight Loss Trajectories and Related Factors in a 16-Week Mobile Obesity Intervention Program: Retrospective Observational Study.

Authors:  Ho Heon Kim; Youngin Kim; Andreas Michaelides; Yu Rang Park
Journal:  J Med Internet Res       Date:  2022-04-15       Impact factor: 7.076

10.  Mobile Apps for Weight Management: A Scoping Review.

Authors:  Jordan Rivera; Amy McPherson; Jill Hamilton; Catherine Birken; Michael Coons; Sindoora Iyer; Arnav Agarwal; Chitra Lalloo; Jennifer Stinson
Journal:  JMIR Mhealth Uhealth       Date:  2016-07-26       Impact factor: 4.773

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.