ArticleJMIR mHealth and uHealth2019
Accuracy of 12 Wearable Devices for Estimating Physical Activity Energy Expenditure Using a Metabolic Chamber and the Doubly Labeled Water Method: Validation Study.
Article in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 4 of them syntheses that pooled it.
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Who cites it
50 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Patient-reported measures of physical activity level for older adults in the home care setting: a systematic review and assessment of psychometric properties.BMC geriatrics · 2026Pooled it
- Advancing Remote Monitoring for Patients With Alzheimer Disease and Related Dementias: Systematic Review.JMIR aging · 2025Pooled it
- Recommendations for Determining the Validity of Consumer Wearables and Smartphones for the Estimation of Energy Expenditure: Expert Statement and Checklist of the INTERLIVE Network.Sports medicine (Auckland, N.Z.) · 2022Pooled it
- Quality Evaluation of Free-living Validation Studies for the Assessment of 24-Hour Physical Behavior in Adults via Wearables: Systematic Review.JMIR mHealth and uHealth · 2022Pooled it
- Consumer Smartwatch Technology in Health and Performance Research: Validity, Limitations, and Real-World Applications.Sensors (Basel, Switzerland) · 2026Review
- Proof of Concept of a Dynamic Energy Prescription Protocol Integrating Wearable Activity Data in 19 Adult Dogs: A Prospective Longitudinal Study.Veterinary sciences · 2026Article
- A Smart Headband for Multimodal Physiological Monitoring in Human Exercises.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Longitudinal Tracking of Objective Measures of Cardiorespiratory Fitness, Body Composition, and Physical Activity in Children.Medicine and science in sports and exercise · 2026Article
- Infant weight gain and motor development in relation to childhood adiposity and physical activity.JSAMS plus · 2025Article
- Validity of self-assessment tools for cardiovascular risk behaviors: A systematic review.American journal of preventive cardiology · 2025Review
- Physical Activity Components that Determine Daily Life Satisfaction Among Older Adults: An Intensive Longitudinal Diary Study.International journal of behavioral medicine · 2025Article
- Relationship Between Each of the Four Major Motor Symptoms and At-Home Physical Activity in Individuals with Parkinson's Disease: A Cross-Sectional Study.Neurology international · 2025Article
- Wristwatch pulse wave monitoring: assessing daily activity post-catheter ablation for atrial fibrillation.European heart journal. Digital health · 2025Article
- Validity and Reliability of Wearable Technology Devices during Simulated Pickleball Game Play.Sports (Basel, Switzerland) · 2024Article
- Objective Assessment of Physical Activity at Home Using a Novel Floor-Vibration Monitoring System: Validation and Comparison With Wearable Activity Trackers and Indirect Calorimetry Measurements.JMIR formative research · 2024Article
- Accuracy of the SenseWear Armband during Short Bouts of Exercise.Sports (Basel, Switzerland) · 2024Article
- Relationship between Phase Angle and Physical Activity Intensity among Community-Dwelling Older Adults in Japan: A Cross-Sectional Study.Healthcare (Basel, Switzerland) · 2024Article
- Questionnaire-based scoring system for screening moderate-to-vigorous physical activity in middle-aged Japanese workers.Journal of occupational health · 2024Article
- Individually optimized estimation of energy expenditure in rescue workers using a tri-axial accelerometer and heart rate monitor.Frontiers in physiology · 2024Article
- Association between physical activity and the prevalence of tumorigenic bacteria in the gut microbiota of Japanese adults: a cross-sectional study.Scientific reports · 2023Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSelf-monitoring using certain types of pedometers and accelerometers has been reported to be effective for promoting and maintaining physical activity (PA). However, the validity of estimating the level of PA or PA energy expenditure (PAEE) for general consumers using wearable devices has not been sufficiently established.
objectiveWe examined the validity of 12 wearable devices for determining PAEE during 1 standardized day in a metabolic chamber and 15 free-living days using the doubly labeled water (DLW) method.
methodsA total of 19 healthy adults aged 21 to 50 years (9 men and 10 women) participated in this study. They followed a standardized PA protocol in a metabolic chamber for an entire day while simultaneously wearing 12 wearable devices: 5 devices on the waist, 5 on the wrist, and 2 placed in the pocket. In addition, they spent their daily lives wearing 12 wearable devices under free-living conditions while being subjected to the DLW method for 15 days. The PAEE criterion was calculated by subtracting the basal metabolic rate measured by the metabolic chamber and 0.1×total energy expenditure (TEE) from TEE. The TEE was obtained by the metabolic chamber and DLW methods. The PAEE values of wearable devices were also extracted or calculated from each mobile phone app or website. The Dunnett test and Pearson and Spearman correlation coefficients were used to examine the variables estimated by wearable devices.
resultsOn the standardized day, the PAEE estimated using the metabolic chamber (PAEEcha) was 528.8±149.4 kcal/day. The PAEEs of all devices except the TANITA AM-160 (513.8±135.0 kcal/day; P>.05), SUZUKEN Lifecorder EX (519.3±89.3 kcal/day; P>.05), and Panasonic Actimarker (545.9±141.7 kcal/day; P>.05) were significantly different from the PAEEcha. None of the devices was correlated with PAEEcha according to both Pearson (r=-.13 to .37) and Spearman (ρ=-.25 to .46) correlation tests. During the 15 free-living days, the PAEE estimated by DLW (PAEEdlw) was 728.0±162.7 kcal/day. PAEE values of all devices except the Omron Active style Pro (716.2±159.0 kcal/day; P>.05) and Omron CaloriScan (707.5±172.7 kcal/day; P>.05) were significantly underestimated. Only 2 devices, the Omron Active style Pro (r=.46; P=.045) and Panasonic Actimarker (r=.48; P=.04), had significant positive correlations with PAEEdlw according to Pearson tests. In addition, 3 devices, the TANITA AM-160 (ρ=.50; P=.03), Omron CaloriScan (ρ=.48; P=.04), and Omron Active style Pro (ρ=.48; P=.04), could be ranked in PAEEdlw.
conclusionsMost wearable devices do not provide comparable PAEE estimates when using gold standard methods during 1 standardized day or 15 free-living days. Continuous development and evaluations of these wearable devices are needed for better estimations of PAEE.
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