Cited by 108Mobile Health and mHealth ApplicationsDigital Mental Health InterventionsObesity, Physical Activity, Diet

Comparison of Smartphone‐Based Behavioral Obesity Treatment With Gold Standard Group Treatment and Control: A Randomized Trial

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Thomas, J. Graham, Bond, Dale S., Raynor, Hollie A., Papandonatos, George D., Wing, Rena R.·2019·Obesity

Abstract

Objective: This study aimed to determine whether weight losses from a primarily smartphone‐based behavioral obesity treatment (SMART) differed from those of a more intensive group‐based behavioral obesity treatment (GROUP) and a control condition (CONTROL). Methods: A total of 276 adults with overweight/obesity were randomly assigned to 18 months of GROUP‐based treatment with meetings weekly for 6 months, meetings biweekly for 6 months, and meetings monthly for 6 months and self‐monitoring via paper diaries with written feedback; SMART‐based treatment with online lessons, self‐monitoring, and feedback plus monthly weigh‐ins; or a CONTROL condition with self‐monitoring via paper diaries with written feedback and monthly weigh‐ins. Results: Among the 276 participants (17% men; 7.2% minority; mean [SD] age: 55.1 [9.9] years; weight: 95.9 [17.0] kg; BMI: 35.2 [5.0] kg/m 2), 18‐month retention was significantly higher in both GROUP (83%) and SMART (81%) compared with CONTROL (66%). Estimated mean (95% CI) weight change over 18 months did not differ across the three conditions: 5.9 kg (95% CI: 4.5‐7.4) in GROUP, 5.5 kg (95% CI: 3.9‐7.1) in SMART, and 6.4 kg (95% CI: 3.7‐9.2) in CONTROL. Conclusions: Mobile online delivery of behavioral obesity treatment can achieve weight loss outcomes that are at least as good as those obtained via the more intensive gold standard group‐based approach.

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  • Equivalence testing showed no significant 18-month weight loss differences between smartphone-based BWL (5.5 kg; 95% CI [3.9, 7.0]), in-person BWL (5.9 kg; 95% CI [4.5, 7.4]), and control (6.4 kg; 95% CI [3.7, 9.2]).

    “Equivalence testing revealed no significant differences in 18-month weight loss across smartphone-based BWL (5.5 kg; 95% CI [3.9, 7.0]), in-person BWL (5.9 kg; 95% CI [4.5, 7.4]), and the control (6.4 kg; 95% CI [3.7, 9.2])”

    From Associations Between Self-Monitoring and Weight Change in Behavioral Weight Loss Interventions (2019) · cites this paper as Thomas et al., 2019

    The Results, Primary Outcome (Weight Change) section reports the quoted 18-month weight losses and confidence intervals, with no significant difference between SMART and GROUP and CONTROL indistinguishable from SMART. The Methods, Statistical Approach section describes WGEE analyses and significance-tested pairwise comparisons, not equivalence testing; that characterization of the analysis is unsupported. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • The Live SMART trial was among the first to directly test whether smartphone-based BWL could achieve weight losses at least as good as gold-standard group treatment and to compare both with a control.

    “The recent randomized controlled Live SMART trial (Thomas, Bond, Raynor, Papandonatos, & Wing, 2019), was one of the first investigations to directly assess if smartphone-based BWL intervention could produce weight losses at least as good as gold-standard group treatment, and compare both treatments to a control condition.”

    From Associations Between Self-Monitoring and Weight Change in Behavioral Weight Loss Interventions (2019) · cites this paper as Thomas, Bond, Raynor, Papandonatos, & Wing, 2019

  • Self-weighing rates were lower in group-based BWL (21.2%; 95% CI [17.9, 25.9]) than in smartphone-based BWL (30.7%; 95% CI [26.2, 37.2]) and control (29.7%; 95% CI [21.7, 37.7]).

    “Self-weighing rates were also lower in the group-based BWL (21.2%; 95% CI [17.9, 25.9]) compared to smartphone-based BWL (30.7%; 95% CI [26.2, 37.2] and control [29.7%; 95% CI [21.7, 37.7].”
  • The Live SMART trial had power to examine its primary between-group weight change outcomes.

    “The Live SMART trial was powered to examine proposed primary outcomes for between-groups weight change (Thomas et al., 2019).”
  • In smartphone-based BWL, participants using electronic self-monitoring tracked dietary intake more often (37.9% days monitored; 95% CI [32.6, 43.2]) than group-based BWL participants using paper-and-pencil self-monitoring (27.5%; 95% CI [23.6, 31.4]); neither group differed significantly from control (32.0%; 95% CI [24.0, 40.0]).

    “Participants in smartphone-based BWL using electronic self-monitoring more frequently tracked their dietary intake (37.9% days monitored; 95% CI [32.6, 43.2]) than group-based BWL with paper-and-pencil self-monitoring (27.5%; 95% CI [23.6, 31.4]); neither differed significantly from the control condition (32.0%; 95% CI [24.0, 40.0]).”

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References 33 · Cited by 108

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Authors
Thomas, J. G., Bond, D. S., Raynor, H. A., Papandonatos, G. D., & Wing, R. R.
Affiliations
  • Brown University (US)
  • University of Tennessee at Knoxville (US)
Corresponding author
Thomas, J. Graham
Venue
Obesity
Publisher
Wiley
Published
2019-02-19
Volume
27
Issue
4
Pages
572-580
ISSN
  • 1930-7381 (ISSN-L)
  • 1930-739X
OpenAlex
W2917604440
Cited by
108
References
33
Citations by year
2026: 10 · 2025: 10 · 2024: 14 · 2023: 17 · 2022: 17 · 2021: 12 · 2020: 25 · 2019: 3
FWCI
19.43
Type
journal article
Language
en
Open access
Locations
  • Obesity (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Institute of Diabetes and Digestive and Kidney Diseases
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
Keywords
obesity treatment, smartphone-based intervention, mobile health, behavioral weight loss, self-monitoring, weight loss, treatment retention, overweight adults
MeSH terms
Smartphone, Adult, Aged, Behavior Therapy, Body Weight, Female, Humans, Male, Middle Aged, Obesity, Weight Loss, Telemedicine, Overweight, Standard of Care

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