Literature DB >> 27931766

A comparison of MOVE! versus TeleMOVE programs for weight loss in Veterans with obesity.

Thomas Rutledge1, Jane A Skoyen2, Julie A Wiese2, Kathleen M Ober2, Gina N Woods3.   

Abstract

BACKGROUND: Obesity is a leading contributor to disability. Treatment approaches incorporating telehealth technologies are becoming increasingly popular in treating obesity, but their benefits relative to established behavioural weight loss therapies are poorly understood. The objective of this study was to compare a new telehealth treatment (TeleMOVE) to an established behavioural treatment (MOVE!) among Veterans with obesity.
METHODS: This was an observational study of Veterans in the TeleMOVE or MOVE! programs between October, 2011 and March, 2013. A total of 699 Veterans enrolled in these programs from 2011-2013. A secondary focus was on Veterans that were ≥90% adherent to their treatment. From this group, 72 (33.1%) TeleMOVE and 141 (29.3%) MOVE! participants met adherence criteria. The primary outcome criterion was changes in body weight.
RESULTS: Both programs were associated with significant weight reductions, with MOVE! participants showing significantly less weight loss relative to those in TeleMOVE (MOVE! mean weight loss=4.5[7.1]lb/2.0[3.2]kg; 1.8% mean weight loss; 12.0% achieving ≥5% weight loss; TeleMOVE mean weight loss=8.6[9.9]lb/3.9[4.5]kg; 3.6% mean weight loss; 26.6% achieving ≥5% weight loss, p's<.01). Among highly adherent participants, patients in TeleMOVE versus MOVE! lost significantly more weight (TeleMOVE=11.1[9.9]lb/5.0[4.5]kg versus MOVE!=5.7[7.1]lb/2.6[3.2]kg; t=4.6, p<.001) and were significantly more likely to achieve clinically significant weight loss (% with ≥5% weight loss were 43.1% versus 13.5%, respectively, p<.001).
CONCLUSIONS: In this observational study, TeleMOVE was at least as effective for weight loss as the more established multidisciplinary MOVE! Published by Elsevier Ltd.

Entities:  

Keywords:  Obesity; Observational; Telemedicine; Treatment adherence; Veterans

Mesh:

Year:  2016        PMID: 27931766     DOI: 10.1016/j.orcp.2016.11.005

Source DB:  PubMed          Journal:  Obes Res Clin Pract        ISSN: 1871-403X            Impact factor:   2.288


  10 in total

Review 1.  Risk Factors of Obesity in Veterans of Recent Conflicts: Need for Diabetes Prevention.

Authors:  Dora Lendvai Wischik; Cherlie Magny-Normilus; Robin Whittemore
Journal:  Curr Diab Rep       Date:  2019-07-31       Impact factor: 4.810

Review 2.  A Review of Technology-Assisted Interventions for Diabetes Prevention.

Authors:  Shira Grock; Jeong-Hee Ku; Julie Kim; Tannaz Moin
Journal:  Curr Diab Rep       Date:  2017-09-23       Impact factor: 4.810

3.  Table for two: Perceptions of social support from participants in a weight management intervention for veterans with PTSD and overweight or obesity.

Authors:  Briana L Robustelli; Sarah B Campbell; Preston A Greene; George G Sayre; Nadiyah Sulayman; Katherine D Hoerster
Journal:  Psychol Serv       Date:  2021-09-13

4.  Barriers and facilitators in implementing a pilot, pragmatic, telemedicine-delivered healthy lifestyle program for obesity management in a rural, academic obesity clinic.

Authors:  John A Batsis; Auden C McClure; Aaron B Weintraub; Diane Sette; Sivan Rotenberg; Courtney J Stevens; Diane Gilbert-Diamond; David F Kotz; Stephen J Bartels; Summer B Cook; Richard I Rothstein
Journal:  Implement Sci Commun       Date:  2020-09-30

Review 5.  Scope of Use and Effectiveness of Dietary Interventions for Improving Health-Related Outcomes in Veterans: A Systematic Review.

Authors:  Rebecca Mellor; Elise Saunders-Dow; Hannah L Mayr
Journal:  Nutrients       Date:  2022-05-17       Impact factor: 6.706

6.  Women Veterans Experience with the VA MOVE! Weight Management Program.

Authors:  Bryan C Batch; Candace S Brown; Karen M Goldstein; Susanne Danus; Nina R Sperber; Hayden B Bosworth
Journal:  Womens Health Rep (New Rochelle)       Date:  2020-03-04

7.  Feasibility and acceptability of a technology-based, rural weight management intervention in older adults with obesity.

Authors:  John A Batsis; Curtis L Petersen; Matthew M Clark; Summer B Cook; David Kotz; Tyler L Gooding; Meredith N Roderka; Rima I Al-Nimr; Dawna Pidgeon; Ann Haedrich; K C Wright; Christina Aquila; Todd A Mackenzie
Journal:  BMC Geriatr       Date:  2021-01-12       Impact factor: 3.921

Review 8.  Clarifying the Concept of Adherence to eHealth Technology: Systematic Review on When Usage Becomes Adherence.

Authors:  Floor Sieverink; Saskia M Kelders; Julia Ewc van Gemert-Pijnen
Journal:  J Med Internet Res       Date:  2017-12-06       Impact factor: 5.428

9.  Dietary adherence and program attrition during a severely energy-restricted diet among people with complex class III obesity: A qualitative exploration.

Authors:  Gabrielle Maston; Janet Franklin; Samantha Hocking; Jessica Swinbourne; Alice Gibson; Elisa Manson; Amanda Sainsbury; Tania Markovic
Journal:  PLoS One       Date:  2021-06-17       Impact factor: 3.240

10.  National Veterans Health Administration MOVE! Weight Management Program Participation During the COVID-19 Pandemic.

Authors:  Kristen E Gray; Katherine D Hoerster; Stephanie A Spohr; Jessica Y Breland; Susan D Raffa
Journal:  Prev Chronic Dis       Date:  2022-03-10       Impact factor: 2.830

  10 in total

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