儿童超重与体成分测量之间的关系

E. Kostopoulou, A. Avgeri, S. Skiadopoulos, G. Dimitriou, I. Giannakopoulos
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引用次数: 2

摘要

背景:希腊儿童肥胖的患病率是欧洲最高的。身体成分可以作为一种筛选工具,用于识别超重儿童和有发生代谢并发症风险的儿童。该研究的目的是提供来自大量希腊儿科人群的身体成分指数数据,并调查这些指数与肥胖之间可能存在的关联。方法:从希腊第三大城市招募1453名学童,其中51.2%为男性,年龄在10-12岁之间。评估人体测量和身体组成指数(体重、身高、身体质量指数(BMI)、脂肪质量(FM)、FM%、脂肪质量指数(FMI)、骨骼肌质量(SMM)、SMM%、骨骼肌质量指数(SMI)和肌脂比(MFR))。结果:1)超重率为25.9%(男性:24.4%,女性:27.5%),肥胖率为12.6%(男性:13.4%,女性:11.7%)。ii)雄性的SMM、SMM%和MFR显著高于雌性,而FM%显著低于雌性。iii)年龄较小的(10-11岁)和年龄较大的(11-12岁)儿童的身体组成没有差异。iv)超重或肥胖儿童的FM、FM%、FMI、SMM、SMI较高,SMM%和MFR值较低。结论:超重与体成分测量(如FM、FM%、FMI、SMM、SMM%、SMI和MFR)之间存在直接关联。这些身体成分分析测量可能作为一种有用的筛选工具,在研究和临床应用中评估肥胖,也可用于预测肥胖相关并发症。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The association between excess weight and body composition measurements in a pediatric population
Background: The prevalence of childhood obesity in Greece is among the highest in Europe. Body composition may be used as a screening tool to identify children with excess weight and those at risk for developing metabolic complications. The aim of the study was to provide data on body composition indices from a large Greek pediatric population and investigate the possible association between these indices and obesity.Methods: 1453 schoolchildren, 51.2% males, aged 10-12 years old, were recruited from the third in size city in Greece. Anthropometric and body composition indices (weight, height, body mass index (BMI), fat mass (FM), FM%, fat mass index (FMI), skeletal muscle mass (SMM), SMM%, skeletal muscle mass index (SMI) and muscle-to-fat ratio (MFR)), were assessed.Results: i) The rates of overweight and obesity were 25.9% (Males: 24.4%, females: 27.5%) and 12.6% (males: 13.4%, females: 11.7%), respectively. ii) Males had significantly higher SMM, SMM% and MFR, and lower FM% compared to females. iii) No differences were observed in body composition between younger (10-11-year-old) and older (11-12-year-old) children. iv) Higher FM, FM%, FMI, SMM, SMI and lower SMM% and MFR values were found in children with overweight or obesity.Conclusion: A direct association between excess weight and body composition measurements, such as FM, FM%, FMI, SMM, SMM%, SMI and MFR, was found in a large pediatric school-population. These body composition analysis measurements may potentially serve as a useful screening-tool with both research and clinical applications in assessing obesity, but also for predicting obesity-related complications.
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