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Body Composition Characteristics of a Load-Capacity Model: Age-Dependent and Sex-Specific Percentiles in 5- to 17-Year-Old Children

百分位 医学 生物电阻抗分析 体质指数 质量指数 人口 无脂块 人口学 动物科学 脂肪团 内科学 统计 数学 生物 环境卫生 社会学
作者
Isabel Gätjens,Steffen Schmidt,Sandra Plachta-Danielzik,Anja Bosy-Westphal,Manfred J. Müller
出处
期刊:Obesity Facts [S. Karger AG]
卷期号:14 (6): 593-603 被引量:10
标识
DOI:10.1159/000518638
摘要

<b><i>Introduction:</i></b> Body composition assessment is superior to the use of body mass index (BMI) to characterize the nutritional status in pediatric populations. For data interpretation, suitable reference data are needed; hence, we aimed to generate age-dependent and sex-specific body composition reference data in a larger population of children and adolescents in Germany. <b><i>Methods:</i></b> This is a cross-sectional study on a representative group of 15,392 5- to 17-year-old children and adolescents. Body composition was assessed by bioelectrical impedance analysis using a population-specific algorithm validated against air displacement plethysmography. Age- and sex-specific percentiles for BMI, fat mass index (FMI), fat-free mass index (FFMI), and a “load-capacity model” (characterized by the ratios of fat mass [FM]/ fatt-free mass [FFM] and FM/FFM<sup>2</sup>) were modeled using the LMS method. <b><i>Results:</i></b> BMI, FMI, FFMI, FM/FFM, and FM/FFM<sup>2</sup> curves showed similar shapes between boys and girls with steady increases in BMI, FMI, and FFMI, while FM/FFM<sup>2</sup>-centiles decreased during early childhood and adolescence. Sex differences were observed in FMI and FM/FFM percentiles with increases in FMI up to age 9 years followed by a steady decrease in FM/FFM during and after puberty with a fast-growing FFMI up to age 17 in boys. The prevalence of low FFM relative to FM reached more than 60% in overweight children and adolescents. <b><i>Conclusion:</i></b> These pediatric body composition reference data enable physicians and public health scientists to monitor body composition during growth and development and to interpret individual data. The data point out to an early risk of sarcopenia in overweight children and adolescents.

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