Evidence map›Paper›PMID 33731385›Full record

SynthesisBritish journal of sports medicine2021

Health wearable devices for weight and BMI reduction in individuals with overweight/obesity and chronic comorbidities: systematic review and network meta-analysis.

Daniel J McDonough, Xiwen Su, Zan Gao

Abstract readComparative StudySystematic ReviewNetwork Meta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in British journal of sports medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 6 pooled it
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Cognitive Behavioral Interventions for Children and Adolescents With Overweight or Obesity: A Systematic Review and Component Network Meta-Analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Daniel J McDonoughSchool of Kinesiology, University of Minnesota Twin Cities, Minneapolis, Minnesota, USA.ORCID http://orcid.org/0000-0002-5313-7284
Xiwen SuSchool of Kinesiology, University of Minnesota Twin Cities, Minneapolis, Minnesota, USA.
Zan GaoSchool of Kinesiology, University of Minnesota Twin Cities, Minneapolis, Minnesota, USA gaoz@umn.edu.ORCID http://orcid.org/0000-0002-6037-0439

Funding

Cardiovascular Disease Epidemiology &Prevention TrngT32HL007779 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · 1994 to 2025
$2.2M
NHLBI NIH HHS T32 HL007779
6 · The paper itself

Abstract

objectiveTo analyse the comparative effectiveness of different health wearable-based physical activity (PA) promotion intervention strategies against each other and control for reducing body weight and body mass index (BMI) in individuals with overweight/obesity and chronic comorbidities.

designSystematic review and network meta-analysis (PROSPERO identifier: CRD42020158191). DATA SOURCES: We performed two independent searches from December 2019 to September 2020 in PubMed, MEDLINE, Scopus, Web of Science, Central Register of Controlled Trials, EMBASE and PsycINFO databases for articles published in English between 2007 and 2020. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: Inclusion criteria were based on the PICOS framework. We included randomised controlled trials of health wearable-based interventions using two or more PA intervention arms/strategies and compared their effects on participants' body weight (kg) and BMI (kg/m

resultsFrom 641 screened records, 31 studies were included. For body weight reduction in individuals with overweight/obesity and chronic comorbidities, accelerometer/pedometer-only (SMD -4.44, 95% CrI -8.94 to 0.07) and commercial health wearable-only (SMD -2.76, 95% CrI -4.80 to -0.81) intervention strategies were the most effective compared with the three other treatments and control. For BMI reduction, multicomponent accelerometer/pedometer (SMD -3.43, 95% CrI -4.94 to -2.09) and commercial health wearable-only (SMD -1.99, 95% CrI -4.95 to 0.96) intervention strategies were the most effective compared with the other four conditions.

conclusionHealth wearable devices are effective intervention tools/strategies for reducing body weight and BMI in individuals with overweight/obesity and chronic comorbidities.

Indexed as

Body Mass IndexFitness TrackersComorbidityHealth PromotionHumansOverweightWeight LossaccelerometerBMIhealth promotionphysical activityweight loss

Identifiers

PMID33731385
PMCPMC10116995

What Socratic holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

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 Socratic graph.