Messner Alex, Nairz Johannes, Kiechl Sophia, Winder Bernhard, Pechlaner Raimund, Geiger Ralf, Knoflach Michael, Kiechl-Kohlendorfer Ursula
VASCage, Centre on Clinical Stroke Research, Innsbruck, Austria.
Department of Pediatrics II, Medical University of Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria.
Eur J Pediatr. 2024 May;183(5):2203-2214. doi: 10.1007/s00431-024-05474-x. Epub 2024 Feb 22.
The objectives of this study were to develop age- and sex-specific reference percentiles for fat mass index (FMI) and fat-free mass index (FFMI) in adolescents aged 14 to 19 years and to determine differences in overweight/obesity classification by FMI and body mass index (BMI). The EVA4YOU study is a single-center cross-sectional study conducted in western Austria. Cardiovascular risks including anthropometric measurements and bioelectrical impedance analysis were assessed in adolescents (mean age 17 years). FMI and FFMI were calculated as the ratio of fat mass (FM) and fat-free mass (FFM) to the square of height and compared to study population-specific BMI percentiles. One thousand four hundred twenty-two adolescents were included in the analysis. Girls had a significantly higher mean FM and FMI and a significantly lower mean FFM, FFMI (p < 0.001, each), and mean BMI (p = 0.020) than boys. Body composition classification by FMI and BMI percentiles shows a concordance for the < 75th and > 97th percentile, but a significant difference in percentile rank classifications between these two cut-off values (all p < 0.05). Based on FMI, 15.5% (221/1422) of the whole population and 29.4% (92/313) of those between the 75th and 97th percentiles are classified one category higher or lower than those assigned by BMI.
Classification of normal or pathologic body composition based on BMI and FMI shows good accordance in the clearly normal or pathologic range. In an intermediate range, FMI reclassifies categories based on BMI in more than a quarter of adolescents. Cut-off values to differentiate normal from pathologic FMI values on a biological basis are needed.
The study is registered at www.
gov (Identifier: NCT04598685; Date of registration: October 22, 2020).
• Chronic non-communicable diseases (NCDs) are the leading cause of morbidity and mortality globally, with major risk factors including unhealthy diets, harmful behaviors, and obesity. Obesity in children and adolescents is a key risk factor for later NCDs, which is commonly measured by Body Mass Index (BMI). • BMI can be misleading as it doesn't distinguish between fat mass (FM) and fat-free mass (FFM), leading to potential misclassification of obesity in children. Previous studies have already suggested the use of the Fat Mass Index (FMI) and Fat-Free Mass Index (FFMI) as a more accurate measures of body composition.
• This study adds the first age- and sex-specific reference values for FMI and FFMI in Austrian adolescents using bioelectrical impedance analysis (BIA) as a safe and secure measurement method of a large representative cohort. • We found percentile misclassification between BMI and FMI when categorizing for obesity, especially in intermediate categories of body composition. Furthermore, when comparing the new reference values for FMI and FFMI to existing ones from the US, UK, and Germany we could show a good alignment within the European cohorts and major differences with American values, indicating and confirming the difference of FMI and FFMI for different populations of different ethnical background, living on different continents.
本研究的目的是为14至19岁青少年制定特定年龄和性别的脂肪量指数(FMI)和去脂体重指数(FFMI)参考百分位数,并确定FMI和体重指数(BMI)在超重/肥胖分类上的差异。EVA4YOU研究是在奥地利西部进行的一项单中心横断面研究。对青少年(平均年龄17岁)进行了包括人体测量和生物电阻抗分析在内的心血管风险评估。FMI和FFMI计算为脂肪量(FM)和去脂体重(FFM)与身高平方的比值,并与特定研究人群的BMI百分位数进行比较。1422名青少年纳入分析。女孩的平均FM和FMI显著高于男孩,平均FFM、FFMI(均p<0.001)和平均BMI(p = 0.020)显著低于男孩。根据FMI和BMI百分位数进行的身体成分分类在<75百分位数和>97百分位数时显示出一致性,但在这两个临界值之间的百分位数排名分类存在显著差异(所有p<0.05)。基于FMI,整个人口中15.5%(221/1422)以及75至97百分位数之间人群中的29.4%(92/313)被分类为比BMI分类高或低一个类别。
基于BMI和FMI对正常或病理性身体成分进行分类在明显正常或病理性范围内显示出良好的一致性。在中间范围内,FMI在超过四分之一的青少年中根据BMI重新分类。需要基于生物学区分正常与病理性FMI值的临界值。
该研究在www.CLINICALTRIALS.gov注册(标识符:NCT04598685;注册日期:2020年10月22日)。
• 慢性非传染性疾病(NCDs)是全球发病和死亡的主要原因,主要风险因素包括不健康饮食、有害行为和肥胖。儿童和青少年肥胖是后期NCDs的关键风险因素,通常通过体重指数(BMI)来衡量。• BMI可能会产生误导,因为它无法区分脂肪量(FM)和去脂体重(FFM),可能导致儿童肥胖的潜在误分类。先前的研究已经建议使用脂肪量指数(FMI)和去脂体重指数(FFMI)作为更准确的身体成分测量方法。
• 本研究使用生物电阻抗分析(BIA)作为大型代表性队列的安全可靠测量方法,首次为奥地利青少年提供了特定年龄和性别的FMI和FFMI参考值。• 我们发现,在对肥胖进行分类时,尤其是在身体成分的中间类别中,BMI和FMI之间存在百分位数误分类。此外,当将FMI和FFMI的新参考值与美国、英国和德国的现有参考值进行比较时,我们发现欧洲队列之间具有良好的一致性,与美国值存在重大差异,这表明并证实了不同种族背景、生活在不同大陆的不同人群的FMI和FFMI存在差异。