Literature DB >> 33731385

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

Daniel J McDonough1, Xiwen Su1, Zan Gao2.   

Abstract

OBJECTIVE: To 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.
DESIGN: Systematic 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/m2) with a control group. Data were analysed using a Bayesian network meta-analysis to directly and indirectly compare the effects of the six different intervention strategies (comparators). The six comparators were: (1) control group (ie, usual care, waitlist); (2) comparison group (ie, traditional, non-health wearable PA interventions); (3) commercial health wearable-only intervention (eg, Fitbit, Polar M400); (4) research grade health wearable-only intervention (ie, accelerometers or pedometers); (5) multicomponent commercial health wearable intervention (eg, Fitbit + nutrition counselling); and (6) multicomponent research grade health wearable intervention. The results were reported as standardised mean differences (SMDs) with associated 95% credible intervals (CrIs).
RESULTS: From 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.
CONCLUSION: Health wearable devices are effective intervention tools/strategies for reducing body weight and BMI in individuals with overweight/obesity and chronic comorbidities. © Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  BMI; accelerometer; health promotion; physical activity; weight loss

Mesh:

Year:  2021        PMID: 33731385     DOI: 10.1136/bjsports-2020-103594

Source DB:  PubMed          Journal:  Br J Sports Med        ISSN: 0306-3674            Impact factor:   13.800


  5 in total

Review 1.  The Effectiveness of Wearable Devices as Physical Activity Interventions for Preventing and Treating Obesity in Children and Adolescents: Systematic Review and Meta-analysis.

Authors:  Wentao Wang; Jing Cheng; Weijun Song; Yi Shen
Journal:  JMIR Mhealth Uhealth       Date:  2022-04-08       Impact factor: 4.947

Review 2.  Weight Reduction Interventions Using Digital Health for Employees with Obesity: A Systematic Review.

Authors:  Yewon Lee; Na Young Lee; Hee Jeong Lim; Sumi Sung
Journal:  Diabetes Metab Syndr Obes       Date:  2022-10-13       Impact factor: 3.249

Review 3.  Effect of Wearable Technology-Based Physical Activity Interventions on Breast Cancer Survivors' Physiological, Cognitive, and Emotional Outcomes: A Systematic Review.

Authors:  Daphne S Blount; Daniel J McDonough; Zan Gao
Journal:  J Clin Med       Date:  2021-05-08       Impact factor: 4.241

Review 4.  The Dilemma of Analyzing Physical Activity and Sedentary Behavior with Wrist Accelerometer Data: Challenges and Opportunities.

Authors:  Zan Gao; Wenxi Liu; Daniel J McDonough; Nan Zeng; Jung Eun Lee
Journal:  J Clin Med       Date:  2021-12-18       Impact factor: 4.241

5.  Effects of a remote, YouTube-delivered exercise intervention on young adults' physical activity, sedentary behavior, and sleep during the COVID-19 pandemic: Randomized controlled trial.

Authors:  Daniel J McDonough; Melina A Helgeson; Wenxi Liu; Zan Gao
Journal:  J Sport Health Sci       Date:  2021-07-24       Impact factor: 13.077

  5 in total

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