智能秤在体重和身体成分测量上的准确性：观察性研究。
Accuracy of Smart Scales on Weight and Body Composition: Observational Study.
机构信息
Physiologie-Explorations Fonctionnelles, Fédération Hospitalo-Universitaire APOLLO (Personalised medicine in chronic cardiovascular, respiratory, renal diseases and organ transplantation), Hôpital Bichat Claude Bernard, Assistance Publique Hôpitaux de Paris, Paris, France.
Université de Paris, Neurodiderot, Institut national de la santé et de la recherche médicale U 1141, Paris, France.
出版信息
JMIR Mhealth Uhealth. 2021 Apr 30;9(4):e22487. doi: 10.2196/22487.
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://clinicaltrials.gov/ct2/show/NCT03803098.
背景
智能秤越来越多地被患者在家中用于监测体重和身体成分，但秤的准确性却常常没有记录。
目的
本研究的目的是确定 3 种市售的智能秤在测量体重和身体成分方面的准确性，将其与双能 X 线吸收法（DEXA）作为金标准进行比较。
方法
我们设计了一项在法国一家三级医院生理科进行的 DEXA 评估的连续患者的横断面研究。除了患者拒绝参与外，没有排除标准。患者在 DEXA 后立即用一台智能秤称重。比较了 3 种秤（秤 1：Body Partner [Téfal]、秤 2：DietPack [Terraillon] 和秤 3：Body Cardio [Nokia Withings]）。我们确定了从 DEXA 获得的金标准值与智能秤测量的体重、体脂和瘦体重之间的绝对误差。
结果
分别对每个接受 3 种测试的智能秤的 53、52 和 48 例患者进行了分析。体重的中位数绝对误差分别为 0.3 公斤（四分位距[IQR] -0.1，0.7）、0 公斤（IQR -0.4，0.3）和 0.25 公斤（IQR -0.10，0.52）。体脂的绝对误差分别为 -2.2 公斤（IQR -5.8，1.3）、-4.4 公斤（IQR -6.6，0）和 -3.7 公斤（IQR -8.0，0.28）。肌肉质量的绝对误差分别为-2.2 公斤（IQR -5.8，1.3）、-4.4 公斤（IQR -6.6，0）和 -3.65 公斤（IQR -8.03，0.28）。与体脂测量误差相关的因素包括体重（秤 1 和 2）（P=.03 和 P<.001）、BMI（秤 1 和 2）（P=.034 和 P<.001）、体脂（秤 1）和肌肉与骨骼质量（秤 2）（均 P<.001）。与肌肉质量误差相关的因素包括体重和 BMI（秤 1）（P<.001 和 P=.004）、体脂（秤 1 和 2）（均 P<.001）以及肌肉和骨骼质量（秤 2）（均 P<.001 和 P=.002）。
结论
智能秤在身体成分方面不够准确，不应用于患者护理。
试验注册
ClinicalTrials.gov NCT03803098；https://clinicaltrials.gov/ct2/show/NCT03803098。
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