Evidence map›Paper›PMID 27654602›Full record

Trial reportJAMA2016

Effect of Wearable Technology Combined With a Lifestyle Intervention on Long-term Weight Loss: The IDEA Randomized Clinical Trial.

John M Jakicic, Kelliann K Davis, Renee J Rogers, Wendy C King, Marsha D Marcus, Diane Helsel, Amy D Rickman, Abdus S Wahed, Steven H Belle

Erratum issued 2 registry-linked trialsOpen access · bronzeAbstract readComparative StudyRandomized Controlled Trial
In one paragraph

Trial report in JAMA, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to 2 registered trials, which are not on this map. Cited by 238 papers, 21 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
238citing papers in PubMed, 21 pooled it
165.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT01131871 phase2completednot on this map

Enhanced Behavioral Intervention to Improve Long-Term Weight Loss in Young Adults

TypeinterventionalSponsorUniversity of PittsburghRan2010 to 2014Enrolled471ConditionsBody WeightArmsStandard Behavioral Weight Loss Intervention, Enhanced Weight Loss Intervention
NCT07736729 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Effect of Continuous Wearable Biometric Monitoring on Weight Loss and Metabolic Outcomes in Adults Undergoing Obesity Treatment: A Sensor-Mediated Adaptive Randomized Controlled Trial in Bariatric and Metabolic Intervention (SMART-BMI)

TypeinterventionalSponsorJeff ReevesRan2026 to 2031Enrolled260ConditionsObesityArmsBiometric-informed care, Control Arm: Standard Care
3 · Its place in the literature

Who cites it

238 citing papers in PubMed, 21 syntheses or guidelines pooled it, 623 citations in OpenAlex.

  1. Digital versus nondigital behavioral interventions on cardiovascular risk reduction: systematic review and meta-analysis.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2025
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  19. Treatment of adolescent obesity.Nature reviews. Endocrinology · 2018
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178 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

John M JakicicUniversity of Pittsburgh, Department of Health and Physical Activity, Physical Activity and Weight Management Research Center, Pittsburgh, Pennsylvania.
Kelliann K DavisUniversity of Pittsburgh, Department of Health and Physical Activity, Physical Activity and Weight Management Research Center, Pittsburgh, Pennsylvania.
Renee J RogersUniversity of Pittsburgh, Department of Health and Physical Activity, Physical Activity and Weight Management Research Center, Pittsburgh, Pennsylvania.
Wendy C KingDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania.
Marsha D MarcusDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania.
Diane HelselDepartment of Nutrition and Exercise Science, Bastyr University, Kenmore, Washington.
Amy D RickmanDepartment of Exercise and Rehabilitative Sciences, Slippery Rock University of Pennsylvania, Slippery Rock.
Abdus S WahedDepartment of Biostatistics, University of Pittsburgh, Pittsburgh, Pennsylvania.
Steven H BelleDepartment of Epidemiology and Department of Biostatistics, University of Pittsburgh, Pittsburgh, Pennsylvania.
University of Pittsburgh · USBastyr University · USSlippery Rock University · US

Funding

VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Caterina Rosano · 2004 to 2026
$28.6M
Enhanced Behavioral Intervention to Improve Long-Term Weight Loss in Young AdultsU01HL096770 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BELLE, STEVEN H., JAKICIC, JOHN M · 2009 to 2014
$5.4M
NHLBI NIH HHS U01 HL096770NIA NIH HHS P30 AG024827
6 · The paper itself

Abstract

Importance: Effective long-term treatments are needed to address the obesity epidemic. Numerous wearable technologies specific to physical activity and diet are available, but it is unclear if these are effective at improving weight loss. Objective: To test the hypothesis that, compared with a standard behavioral weight loss intervention (standard intervention), a technology-enhanced weight loss intervention (enhanced intervention) would result in greater weight loss. Design, Setting, Participants: Randomized clinical trial conducted at the University of Pittsburgh and enrolling 471 adult participants between October 2010 and October 2012, with data collection completed by December 2014. Interventions: Participants were placed on a low-calorie diet, prescribed increases in physical activity, and had group counseling sessions. At 6 months, the interventions added telephone counseling sessions, text message prompts, and access to study materials on a website. At 6 months, participants randomized to the standard intervention group initiated self-monitoring of diet and physical activity using a website, and those randomized to the enhanced intervention group were provided with a wearable device and accompanying web interface to monitor diet and physical activity. Main Outcomes and Measures: The primary outcome of weight was measured over 24 months at 6-month intervals, and the primary hypothesis tested the change in weight between 2 groups at 24 months. Secondary outcomes included body composition, fitness, physical activity, and dietary intake. Results: Among the 471 participants randomized (body mass index [BMI], 25 to <40; age range, 18-35 years; 28.9% nonwhite, 77.2% women), 470 (233 in the standard intervention group, 237 in the enhanced intervention group) initiated the interventions as randomized, and 74.5% completed the study. For the enhanced intervention group, mean base line weight was 96.3 kg (95% CI, 94.2-98.5) and 24-month weight 92.8 kg (95% CI, 90.6- 95.0) [corrected]. For the standard intervention group, mean baseline weight was 95.2kg (95%CI,93.0-97.3)and24-month weight was 89.3 kg (95%CI, 87.1-91.5) [corrected]. Weight change at 24 months differed significantly by intervention group (estimated mean weight loss, 3.5 kg [95% CI, 2.6-4.5} in the enhanced intervention group and 5.9 kg [95% CI, 5.0-6.8] in the standard intervention group; difference, 2.4 kg [95% CI, 1.0-3.7]; P = .002). Both groups had significant improvements in body composition, fitness, physical activity, and diet, with no significant difference between groups. Conclusions and Relevance: Among young adults with a BMI between 25 and less than 40, the addition of a wearable technology device to a standard behavioral intervention resulted in less weight loss over 24 months. Devices that monitor and provide feedback on physical activity may not offer an advantage over standard behavioral weight loss approaches. Trial Registration: clinicaltrials.gov Identifier: NCT01131871.

Indexed as

Caloric RestrictionHealthy LifestyleWearable Electronic DevicesWeight LossAdolescentAdultBody Mass IndexFemaleHumansMaleObesityYoung Adult

Identifiers

PMID27654602
PMCPMC5480209
OpenAlexW2522531501

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.