Speakman Alexandria, Hitchcock Kathryn, Romantic Emily, Quiambao Venancio, Lepolt Abigail, Arce-Clachar Ana Catalina, Bramlage Kristin, Fei Lin, Sun Qin, Xanthakos Stavra, Mouzaki Marialena
Department of Pediatrics, Division of Gastroenterology, Hepatology and Nutrition, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
College of Medicine University of Cincinnati, Cincinnati, Ohio, USA.
JPEN J Parenter Enteral Nutr. 2025 Feb;49(2):200-206. doi: 10.1002/jpen.2706. Epub 2024 Dec 3.
Bioelectrical impedance is used clinically to assess body composition. To determine true (rather than chance/measurement error) change in bioelectrical impedance analysis measurements over time, it is necessary to know their least significant change. Least significant change represents values exceeding the 95% prediction interval of the precision error of repeat measurements. The least significant change of repeat bioelectrical impedance analysis measurements in children with obesity and metabolic dysfunction-associated steatotic liver disease is currently unknown.
This is a prospective, single-center, descriptive cohort study in youth 6-20 years of age with obesity and metabolic dysfunction-associated steatotic liver disease. Two same-day bioelectrical impedance analysis measurements were performed on a multifrequency, octopolar device (InBody 370). Fat mass and fat-free mass were adjusted for age using respective indices (dividing by height squared). Fasting status was determined by patient report. Descriptive statistics (medians with interquartile ranges and means with standard deviations and proportions) were used; the least significant change between repeat measurements with precision interval was calculated.
We recruited 43 patients (81% male; 33% Hispanic; median age: 14 years [interquartile range: 11-16]; median body mass index z score: 2.31 [interquartile range: 2.84-2.65]). A total of 60% were fasting, for a median of 12 h. The least significant change of fat mass index was 0.5 (precision interval: -0.4 to 0.5) kg/m, fat-free mass index was 0.3 (precision interval: -0.3 to 0.3) kg/m, and body fat percent was 1.5% (precision interval: -1.3 to 1.50). Fasting status affected least significant change measurements.
In youth with obesity and metabolic dysfunction-associated steatotic liver disease, repeat bioelectrical impedance analysis measurements beyond least significant change and precision interval determined in this study likely represent true changes in body composition over time, vs measurement error.
生物电阻抗在临床上用于评估身体成分。为了确定生物电阻抗分析测量值随时间的真实（而非偶然/测量误差）变化，有必要了解其最小有意义变化。最小有意义变化代表超过重复测量精度误差95%预测区间的值。目前尚不清楚肥胖和代谢功能障碍相关脂肪性肝病儿童重复生物电阻抗分析测量的最小有意义变化。
这是一项针对6至20岁肥胖和代谢功能障碍相关脂肪性肝病青少年的前瞻性、单中心、描述性队列研究。使用多频八极设备（InBody 370）进行两次同日生物电阻抗分析测量。使用各自的指数（除以身高平方）对脂肪量和去脂体重进行年龄校正。通过患者报告确定禁食状态。使用描述性统计（中位数及四分位间距、均值及标准差和比例）；计算具有精确区间的重复测量之间的最小有意义变化。
我们招募了43名患者（81%为男性；33%为西班牙裔；中位年龄：14岁[四分位间距：11 - 16]；中位体重指数z评分：2.31[四分位间距：2.84 - 2.65]）。共有60%的患者处于禁食状态，禁食时间中位数为12小时。脂肪量指数的最小有意义变化为0.5（精确区间：-0.4至0.5）kg/m，去脂体重指数为0.3（精确区间：-0.3至0.3）kg/m，体脂百分比为1.5%（精确区间：-1.3至1.50）。禁食状态影响最小有意义变化测量值。
在肥胖和代谢功能障碍相关脂肪性肝病的青少年中，重复生物电阻抗分析测量值超过本研究确定的最小有意义变化和精确区间，可能代表身体成分随时间的真实变化，而非测量误差。
