Accuracy of Smart Scales on Weight and Body Composition: Observational Study

Justine Frija-Masson, Jimmy Mullaert, Emmanuelle Vidal-Petiot, Nathalie Pons-Kerjean, Martin Flamant, Marie-Pia d'Ortho, Justine Frija-Masson, Jimmy Mullaert, Emmanuelle Vidal-Petiot, Nathalie Pons-Kerjean, Martin Flamant, Marie-Pia d'Ortho

Abstract

Background: Smart scales are increasingly used at home by patients to monitor their body weight and body composition, but scale accuracy has not often been documented.

Objective: The 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.

Methods: We 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.

Results: The 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).

Conclusions: Smart scales are not accurate for body composition and should not replace DEXA in patient care.

Trial registration: ClinicalTrials.gov NCT03803098; https://ichgcp.net/clinical-trials-registry/NCT03803098.

Keywords: DEXA; obesity; smart scales.

Conflict of interest statement

Conflicts of Interest: JFM has received travel, accommodation, and meeting expenses unrelated to this work from Vitalaire, LVL Medical, Oxyvie, Ixxair Medical, and Boehringer-Ingelheim. No conflicts were declared for other authors.

©Justine Frija-Masson, Jimmy Mullaert, Emmanuelle Vidal-Petiot, Nathalie Pons-Kerjean, Martin Flamant, Marie-Pia d'Ortho. Originally published in JMIR mHealth and uHealth (https://mhealth.jmir.org), 30.04.2021.

Figures

Figure 1
Figure 1
Bland-Altman plots of the three scales for body weight, fat mass, and muscular mass. The red line indicates mean error, blue lines indicate 2.5 and 97.5 percentiles of the error distribution, and the black line represents a linear fit.

References

    1. Steinberg DM, Tate DF, Bennett GG, Ennett S, Samuel-Hodge C, Ward DS. The efficacy of a daily self-weighing weight loss intervention using smart scales and e-mail. Obesity (Silver Spring) 2013 Sep;21(9):1789–1797. doi: 10.1002/oby.20396.
    1. Thomas JG, Raynor HA, Bond DS, Luke AK, Cardoso CC, Wojtanowski AC, Vander VS, Tate D, Wing RR, Foster GD. Weight loss and frequency of body-weight self-monitoring in an online commercial weight management program with and without a cellular-connected 'smart' scale: a randomized pilot study. Obes Sci Pract. 2017 Dec;3(4):365–372. doi: 10.1002/osp4.132.
    1. Bousbiat S, Jaffrin M, Assadi I. Factors influencing accuracy and reproducibility of body resistance measurements by foot-to-foot impedancemeters. J Med Eng Technol. 2015 Jan;39(1):35–43. doi: 10.3109/03091902.2014.973617.
    1. Jaffrin MY, Moreno MV. Measurements of total body water with a foot-to-foot impedancemeter. Med Eng Phys. 2008 May;30(4):483–489. doi: 10.1016/j.medengphy.2007.05.009.
    1. Bousbiat S, Jaffrin MY, Dongmo E. Comparison of body fat-free masses calculated from hand-to-foot and foot-to-foot resistances with DXA measurements. Med Biol Eng Comput. 2011 Nov;49(11):1329–1336. doi: 10.1007/s11517-011-0827-y.
    1. Jaffrin MY, Bousbiat S. Accuracy of plantar electrodes compared with hand and foot electrodes in fat-free-mass measurement. J Healthc Eng. 2014;5(2):123–144. doi: 10.1260/2040-2295.5.2.123. doi: 10.1260/2040-2295.5.2.123.
    1. Jaffrin MY, Bousbiat S, Dongmo E. A comparison between two methods for measuring limb resistances with wrist and ankle electrodes. Med Eng Phys. 2011 Oct;33(8):943–949. doi: 10.1016/j.medengphy.2011.03.003.
    1. Jaffrin MY, Morel H. Measurements of body composition in limbs and trunk using a eight contact electrodes impedancemeter. Med Eng Phys. 2009 Nov;31(9):1079–1086. doi: 10.1016/j.medengphy.2009.07.005.
    1. Ross KM, Wing RR. Concordance of in-home “smart” scale measurement with body weight measured in-person. Obes Sci Pract. 2016 Jun;2(2):224–248. doi: 10.1002/osp4.41.
    1. Bennett GG, Steinberg D, Askew S, Levine E, Foley P, Batch BC, Svetkey LP, Bosworth HB, Puleo EM, Brewer A, DeVries A, Miranda H. Effectiveness of an app and provider counseling for obesity treatment in primary care. Am J Prev Med. 2018 Dec;55(6):777–786. doi: 10.1016/j.amepre.2018.07.005.
    1. Sperrin M, Rushton H, Dixon WG, Normand A, Villard J, Chieh A, Buchan I. Who self-weighs and what do they gain from it? A retrospective comparison between smart scale users and the general population in England. J Med Internet Res. 2016 Jan 21;18(1):e17. doi: 10.2196/jmir.4767.
    1. Ross KM, Eastman A, Wing RR. Accuracy of self-report versus objective smart-scale weights during a 12-week weight management intervention. Obesity (Silver Spring) 2019 Mar;27(3):385–390. doi: 10.1002/oby.22400.
    1. Benson L, Zhang F, Espel-Huynh H, Wilkinson L, Lowe MR. Weight variability during self-monitored weight loss predicts future weight loss outcome. Int J Obes (Lond) 2020 Jun;44(6):1360–1367. doi: 10.1038/s41366-020-0534-6.
    1. Turicchi J, O'Driscoll R, Lowe M, Finlayson G, Palmeira AL, Larsen SC, Heitmann BL, Stubbs J. The impact of early body-weight variability on long-term weight maintenance: exploratory results from the NoHoW weight-loss maintenance intervention. Int J Obes (Lond) 2021 Mar;45(3):525–534. doi: 10.1038/s41366-020-00706-0.
    1. Brockmann AN, Eastman A, Ross KM. Frequency and consistency of self-weighing to promote weight-loss maintenance. Obesity (Silver Spring) 2020 Jul;28(7):1215–1218. doi: 10.1002/oby.22828.
    1. Turicchi J, O'Driscoll R, Finlayson G, Duarte C, Palmeira AL, Larsen SC, Heitmann BL, Stubbs RJ. Data imputation and body weight variability calculation using linear and nonlinear methods in data collected from digital smart scales: simulation and validation study. JMIR Mhealth Uhealth. 2020 Sep 11;8(9):e17977. doi: 10.2196/17977.

Source: PubMed

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