Observational studyJMIR mHealth and uHealth2021
Accuracy of Smart Scales on Weight and Body Composition: Observational Study.
Observational study in JMIR mHealth and uHealth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03803098 (Evaluation of the Metrological Reliability of Connected Objects Available to the Public in the Measurement of Medical Physiological Parameters), which is not on this map. Cited by 14 papers.
What it found
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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.
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.
Evaluation of the Metrological Reliability of Connected Objects Available to the Public in the Measurement of Medical Physiological Parameters
Who cites it
14 citing papers in PubMed, 31 citations in OpenAlex.
- Changes in Ultra-Processed Food Intake During a Single-Arm Behavioral Weight Management Intervention: A Secondary Analysis.Obesity (Silver Spring, Md.) · 2026Trial
- Impact of whole-body vibration on anthropometric measurements and body composition in overweight and obese university students: a randomized controlled trial.Frontiers in medicine · 2026Trial
- What Is a Biosensor?-A Terminological Guide From Biomolecular Recognition to Bioindicators.Engineering in life sciences · 2026Review
- An in-home engagement and usability study of GeRI: an open-source platform for remote symptom assessment and wearable activity monitoring in men with prostate cancer.Frontiers in digital health · 2026Article
- General obesity index or central obesity indicators: which is a better predictor of body fat percentage in the first trimester?BMC pregnancy and childbirth · 2025Article
- mEnergy: Development of a Novel mHealth Multi-device Platform for Near Real-time Remote Assessment of Energy Disorders.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2025Article
- Metrology of two wearable sleep trackers against polysomnography in patients with sleep complaints.Journal of sleep research · 2025Observational
- Digital applications for diet monitoring, planning, and precision nutrition for citizens and professionals: a state of the art.Nutrition reviews · 2025Review
- The effects of different types of undergraduate education on body weight, appetite, and physical activity habits in normal-weight Saudi female students.SAGE open medicine · 2025Article
- Secure and privacy-preserving automated machine learning operations into end-to-end integrated IoT-edge-artificial intelligence-blockchain monitoring system for diabetes mellitus prediction.Computational and structural biotechnology journal · 2024Article
- Usefulness of the ECORE-BF Scale to Determine Atherogenic Risk in 386,924 Spanish Workers.Nutrients · 2024Observational
- Weight Loss Using an mHealth App Among Individuals With Obesity in Different Economic Regions of China: Cohort Study.JMIR mHealth and uHealth · 2024Article
- Assessing the reliability and cross-sectional and longitudinal validity of fifteen bioelectrical impedance analysis devices.The British journal of nutrition · 2023Article
- Telehealth Secure Solution to Provide Childhood Obesity Monitoring.Sensors (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSmart scales are increasingly used at home by patients to monitor their body weight and body composition, but scale accuracy has not often been documented.
objectiveThe goal of the research was to determine the accuracy of 3 commercially available smart scales for weight and body composition compared with dual x-ray absorptiometry (DEXA) as the gold standard.
methodsWe designed a cross-sectional study in consecutive patients evaluated for DEXA in a physiology unit in a tertiary hospital in France. There were no exclusion criteria except patient declining to participate. Patients were weighed with one smart scale immediately after DEXA. Three scales were compared (scale 1: Body Partner [Téfal], scale 2: DietPack [Terraillon], and scale 3: Body Cardio [Nokia Withings]). We determined absolute error between the gold standard values obtained from DEXA and the smart scales for body mass, fat mass, and lean mass.
resultsThe sample for analysis included 53, 52, and 48 patients for each of the 3 tested smart scales, respectively. The median absolute error for body weight was 0.3 kg (interquartile range [IQR] -0.1, 0.7), 0 kg (IQR -0.4, 0.3), and 0.25 kg (IQR -0.10, 0.52), respectively. For fat mass, absolute errors were -2.2 kg (IQR -5.8, 1.3), -4.4 kg (IQR -6.6, 0), and -3.7 kg (IQR -8.0, 0.28), respectively. For muscular mass, absolute errors were -2.2 kg (IQR -5.8, 1.3), -4.4 kg (IQR -6.6, 0), and -3.65 kg (IQR -8.03, 0.28), respectively. Factors associated with fat mass measurement error were weight for scales 1 and 2 (P=.03 and P<.001, respectively), BMI for scales 1 and 2 (P=.034 and P<.001, respectively), body fat for scale 1 (P<.001), and muscular and bone mass for scale 2 (P<.001 for both). Factors associated with muscular mass error were weight and BMI for scale 1 (P<.001 and P=.004, respectively), body fat for scales 1 and 2 (P<.001 for both), and muscular and bone mass for scale 2 (P<.001 and P=.002, respectively).
conclusionsSmart scales are not accurate for body composition and should not replace DEXA in patient care.
trial registrationClinicalTrials.gov NCT03803098; https://clinicaltrials.gov/ct2/show/NCT03803098.
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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.