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Cited by 40Mobile Health and mHealth ApplicationsObesity, Physical Activity, DietPhysical Activity and Health

Applying a technology‐based system for weight loss in adults with obesity

Open access
Rogers, R. J., Lang, W., Barone Gibbs, B., Davis, K. K., Burke, L. E., Kovacs, S. J., Portzer, L. A., Jakicic, J. M.·2016·Obesity Science & Practice
DOI 10.1002/osp4.18PMC PMC5067642
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Abstract

Summary: Objective: The aim of this study was to compare an in‐person, group‐based behavioral weight loss intervention to technology‐based interventions in adults with obesity. Methods: Adults ( N = 39; body mass index: 39.5 ± 2.8 kg m −2 ; age: 39.9 ± 11.5 years) participated in a 6‐month program with randomization to one of three intervention groups: standard behavioral weight loss, a technology‐based system combined with a monthly intervention telephone call (TECH) or an enhanced technology‐based system combined with a monthly intervention telephone call (EN‐TECH). All groups were prescribed an energy‐restricted diet and physical activity. Assessments occurred at 0, 3 and 6 months. Separate mixed‐effects models using unstructured dependence structure were fit to the outcomes. Results: Weight loss (least square means ± standard error) at 6 months was −6.57 ± 1.65 kg in standard behavioral weight loss, −5.18 ± 1.72 kg in TECH and −6.25 ± 1.95 kg in EN‐TECH ( p ‐value for time effect ≤ 0.0001). A similar pattern was observed for change in body mass index, waist circumference and percent body fat. There was a decrease in total energy intake ( p = 0.0005) and percent dietary fat intake ( p = 0.0172), and physical activity increased ( p = 0.0003). Conclusions: Findings provide initial information on the use of technology‐based interventions that include wearable devices combined with brief monthly telephone calls for weight loss in adults with obesity.

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Cites

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  • One study reported a reduction in daily steps, one reported a reduction in MVPA participation, and three reported a reduction in energy expenditure in at least one included intervention group.

    “One study reported a reduction in daily steps [42], 1 study reported a reduction in MVPA participation [37], and 3 studies reported a reduction in energy expenditure [46,47,52] in at least one of the included intervention groups.”

    From Consumer-based wearable activity trackers increase physical activity participation: systematic review and meta-analysis (2019) · cites this paper as [46]

    Table 3 (Results; page unavailable) shows a small reduction in physical-activity energy expenditure in the TECH group from 3 to 6 months. But every group’s 6-month value exceeds its baseline value, and the Results state that energy expenditure increased across the intervention. The citation supports a reduction only for that intermediate interval, not for the intervention overall. (LLM, conf=0.82)

    Experimental — accuracy not yet measured

  • Eight studies that reported physical activity outcome measures had greater than 20% loss to follow-up, with three of these reporting a reduction in physical activity participation.

    “In addition, 8 studies [29,32,33,37,42,43,46,48] that reported physical activity outcome measures had greater than 20% loss to follow-up, with 3 of these studies reporting a reduction in physical activity participation.”

    From Consumer-based wearable activity trackers increase physical activity participation: systematic review and meta-analysis (2019) · cites this paper as [46]

    The Methods (Outcome measures) confirm that this study measured physical activity, and Table 1 in the Results shows 39 participants randomized and 27 completing six months—a loss to follow-up of about 31%. The paper does not establish the citing sentence’s counts across eight studies or identify the three that reported reduced participation. Its own Results report increased, not reduced, physical-activity energy expenditure. (LLM, conf=0.88)

    Experimental — accuracy not yet measured

  • Blinding of outcome assessors (detection bias) was assessed as high risk for 7 studies [31,43,45-48,52] because of the use of subjective outcome measures.

    “Blinding of outcome assessors (detection bias) was assessed as high risk for 7 studies [31,43,45-48,52] because of the use of subjective outcome measures.”

    From Consumer-based wearable activity trackers increase physical activity participation: systematic review and meta-analysis (2019) · cites this paper as [46]

  • 8 studies included more than 1 intervention group.

    “Overall, 8 studies included more than 1 intervention group [34,43,45-47,52-54].”

    From Consumer-based wearable activity trackers increase physical activity participation: systematic review and meta-analysis (2019) · cites this paper as [46]

  • 13 studies included young adults (≤39.9 years), 15 included middle-aged adults (40-64.9 years), and 1 included adults over 65 years.

    “Thirteen studies included young adults (≤39.9 years) [30-34,37,38,42,44,46-48,50], 15 included middle-aged adults (40-64.9 years) [21,22,29,35,36,39-41, 43,45,51-54], and 1 study included adults aged over 65 years [49].”

    From Consumer-based wearable activity trackers increase physical activity participation: systematic review and meta-analysis (2019) · cites this paper as [46]

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Cites

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Research works printed but not linked: 1

  1. [4]Wing RR. Behavioral weight control In: Wadden TA, Stunkard AJ (eds). Handbook of Obesity Treatment. New York: The Guilford Press; 2002, pp. 301– 316.

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Authors
Rogers, R. J., Lang, W., Barone Gibbs, B., Davis, K. K., Burke, L. E., Kovacs, S. J., Portzer, L. A., & Jakicic, J. M.
Affiliations
  • University of Pittsburgh (US)
  • Wake Forest University Health Sciences (US)
  • Department of Health and Physical Activity, Physical Activity and Weight Management Research Center University of Pittsburgh Pittsburgh PA USA
Corresponding author
Rogers, R. J.
ORCID
Venue
Obesity Science & Practice
Publisher
Wiley
Published
2016-02-23
Volume
2
Issue
1
Pages
3-12
ISSN
2055-2238 (ISSN-L)
DOI
10.1002/osp4.18
PMC
PMC5067642
OpenAlex
W2415150578
Cited by
40
References
41
Citations by year
2026: 3 · 2025: 6 · 2024: 2 · 2023: 5 · 2022: 2 · 2021: 7 · 2020: 5 · 2019: 4 · 2018: 4 · 2017: 2
FWCI
6.20
Type
journal article
Language
en
Open access
Licence
Locations
  • Obesity Science & Practice (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • TUScholarShare (Temple University) (submittedVersion, cc-by-nc)
Funders
Google
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
Keywords
obesity, weight loss, technology-based interventions, wearable devices, telephone counseling, behavioral weight loss, hypocaloric diet, physical activity, energy intake, body mass index, waist circumference, body fat percentage

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