Literature DB >> 35178432

Monday-focused tailored rapid interactive mobile messaging for weight management 2 (MTRIMM2): results from a randomized controlled trial.

Anna Y Kharmats1,2, Chan Wang2, Laura Fuentes3, Lu Hu2, Tina Kline3, Kevin Welding3, Lawrence J Cheskin4,5.   

Abstract

BACKGROUND: Text-messaging interventions can reach many individuals across a range of socioeconomic groups, at a low cost. Few randomized controlled trials (RCTs) of text-messaging weight loss interventions have been conducted in United States.
METHODS: From September of 2016 to September of 2018, we conducted a two-parallel group, superiority, RCT of a 16-week text-messaging, weight loss intervention in Baltimore, Maryland, in overweight and obese adults younger than 71, who were able to receive text-messages. Our objective was to assess the effect of receiving the message content only (in printed documents distributed at baseline and week 8), versus receiving messages via short messaging service (SMS) on weight loss (primary outcome), body mass index, perceived exercise benefits and barriers, self-efficacy, and physical activity (PA). The random allocation sequence was equally balanced intervention groups by gender and age groups. Participants were randomized after the baseline assessment. Then, participants and most study staff were unblinded. Follow-up assessments were conducted at 8-, 16-, and 42-week post randomization. We performed intention-to-treat analysis using mixed linear regression models.
RESULTS: Of the 155 adults randomized (printed messages =77, SMS =78), 87.1% were women, 53.5% were African Americans, and 93.5% non-Hispanic. Participants who completed at least one follow-up assessment were included in regression analyses (n=145, printed messages =74, SMS =71). Compared to baseline, at the 42-week assessment, the average percent weight loss was 1.23 for the SMS group (P=0.006) and 0.86 for the printed messages group (P=0.047). Both groups experienced small reductions in weight (printed messages: -0.96 kg, P=0.022; SMS: -1.19 kg, P=0.006), BMI (printed messages: -0.32, P=0.035; SMS: -0.52, P=0.002), and percent energy from fat consumption (printed messages: -1.43, P=0.021; SMS: -2.14, P≤0.001). No statistically significant between groups differences were detected for any of the study outcomes. SMS response rates were not statistically significantly associated with study outcomes. No adverse events were reported.
CONCLUSIONS: A semi-tailored SMS weight loss intervention among overweight and obese adults was not statistically superior in efficacy to paper-based messaging. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT04506996. 2022 mHealth. All rights reserved.

Entities:  

Keywords:  Obesity; healthy diet; mHealth; text messaging; weight loss intervention

Year:  2022        PMID: 35178432      PMCID: PMC8800204          DOI: 10.21037/mhealth-21-3

Source DB:  PubMed          Journal:  Mhealth        ISSN: 2306-9740


  31 in total

1.  Examining differences in nutrient intake and dietary quality on weekdays versus weekend days in Canada.

Authors:  Penny H W Yang; Jennifer L Black; Susan I Barr; Hassanali Vatanparast
Journal:  Appl Physiol Nutr Metab       Date:  2014-10-28       Impact factor: 2.665

2.  Comparative validation of the Block, Willett, and National Cancer Institute food frequency questionnaires : the Eating at America's Table Study.

Authors:  A F Subar; F E Thompson; V Kipnis; D Midthune; P Hurwitz; S McNutt; A McIntosh; S Rosenfeld
Journal:  Am J Epidemiol       Date:  2001-12-15       Impact factor: 4.897

3.  A systematic review with meta-analyses of text message-delivered behaviour change interventions for weight loss and weight loss maintenance.

Authors:  Rebecca Skinner; Veronica Gonet; Sinéad Currie; Pat Hoddinott; Stephan U Dombrowski
Journal:  Obes Rev       Date:  2020-02-11       Impact factor: 9.213

4.  Differences in Obesity Prevalence by Demographic Characteristics and Urbanization Level Among Adults in the United States, 2013-2016.

Authors:  Craig M Hales; Cheryl D Fryar; Margaret D Carroll; David S Freedman; Yutaka Aoki; Cynthia L Ogden
Journal:  JAMA       Date:  2018-06-19       Impact factor: 56.272

5.  The REDCap consortium: Building an international community of software platform partners.

Authors:  Paul A Harris; Robert Taylor; Brenda L Minor; Veida Elliott; Michelle Fernandez; Lindsay O'Neal; Laura McLeod; Giovanni Delacqua; Francesco Delacqua; Jacqueline Kirby; Stephany N Duda
Journal:  J Biomed Inform       Date:  2019-05-09       Impact factor: 6.317

Review 6.  Behavioral and Pharmacotherapy Weight Loss Interventions to Prevent Obesity-Related Morbidity and Mortality in Adults: Updated Evidence Report and Systematic Review for the US Preventive Services Task Force.

Authors:  Erin S LeBlanc; Carrie D Patnode; Elizabeth M Webber; Nadia Redmond; Megan Rushkin; Elizabeth A O'Connor
Journal:  JAMA       Date:  2018-09-18       Impact factor: 56.272

7.  Evaluation of a short dietary assessment instrument for percentage energy from fat in an intervention study.

Authors:  Frances E Thompson; Douglas Midthune; Geoffrey C Williams; Amy L Yaroch; Thomas G Hurley; Ken Resnicow; James R Hebert; Deborah J Toobert; Geoffrey W Greene; Karen Peterson; Linda Nebeling
Journal:  J Nutr       Date:  2008-01       Impact factor: 4.798

Review 8.  The Health Belief Model: a decade later.

Authors:  N K Janz; M H Becker
Journal:  Health Educ Q       Date:  1984

9.  Effect of Behavioral Weight Management Interventions Using Lifestyle mHealth Self-Monitoring on Weight Loss: A Systematic Review and Meta-Analysis.

Authors:  Iván Cavero-Redondo; Vicente Martinez-Vizcaino; Rubén Fernandez-Rodriguez; Alicia Saz-Lara; Carlos Pascual-Morena; Celia Álvarez-Bueno
Journal:  Nutrients       Date:  2020-07-03       Impact factor: 5.717

10.  Intensity and duration of lifestyle interventions for long-term weight loss and association with mortality: a meta-analysis of randomised trials.

Authors:  Navneet Singh; Ralph Alan Huston Stewart; Jocelyne Rachelle Benatar
Journal:  BMJ Open       Date:  2019-08-18       Impact factor: 2.692

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