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5至17岁低、中、高身体成分轨迹的识别及其关联

Identification of and Associations among Low, Middle, and High Body Composition Trajectories from Age 5- to 17-Years.

作者信息

Marshall Teresa A, Curtis Alexandra M, Cavanaugh Joseph E, Warren John J, Levy Steven M

机构信息

Department of Preventive & Community Dentistry, College of Dentistry, The University of Iowa, Iowa City, IA 52242-1010, USA.

Department of Biostatistics, College of Public Health, The University of Iowa, Iowa City, IA 52242-1010, USA.

出版信息

Children (Basel). 2020 Oct 20;7(10):192. doi: 10.3390/children7100192.

DOI:10.3390/children7100192
PMID:33092036
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7589976/
Abstract

Our objective was to identify sex-specific age 5- to 17-year body composition (body mass index (BMI), % body fat, fat mass index, fat-free mass index) trajectories, compare trajectories assigned using age 5 (AGE5) data to those assigned using all available (ALL) data, and compare BMI assignments to other body composition assignments. Cluster analysis was used to identify low, medium, and high trajectories from body composition measures obtained from dual energy x-ray absorptiometry (DXA) scans at 5, 9, 11, 13, 15, and 17 years in a birth cohort followed longitudinally ( = 469). Moderate agreement was observed for comparisons between AGE5 data and ALL data cluster assignments for each body composition measure. Agreement between cluster assignments for BMI and other body composition measures was stronger using ALL data than using AGE5 data. Our results suggest that BMI, % body fat, fat mass index, and fat free mass index trajectories are established during early childhood, and that BMI is a reasonable predictor of body composition appropriate to track obesity in public health and clinical settings.

摘要

我们的目标是确定5至17岁特定性别的身体成分(体重指数(BMI)、体脂百分比、脂肪量指数、去脂体重指数)轨迹,比较使用5岁(AGE5)数据确定的轨迹与使用所有可用(ALL)数据确定的轨迹,并比较BMI赋值与其他身体成分赋值。我们采用聚类分析,从一个纵向随访的出生队列(n = 469)在5岁、9岁、11岁、13岁、15岁和17岁时通过双能X线吸收法(DXA)扫描获得的身体成分测量值中识别低、中、高轨迹。对于每种身体成分测量,在AGE5数据和ALL数据聚类赋值之间的比较中观察到中等程度的一致性。使用ALL数据时,BMI和其他身体成分测量的聚类赋值之间的一致性比使用AGE5数据时更强。我们的结果表明,BMI、体脂百分比、脂肪量指数和去脂体重指数轨迹在儿童早期就已确立,并且BMI是在公共卫生和临床环境中追踪肥胖时适合用于预测身体成分的合理指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c9/7589976/741d88eb0010/children-07-00192-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c9/7589976/e3a03d0c0625/children-07-00192-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c9/7589976/741d88eb0010/children-07-00192-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c9/7589976/e3a03d0c0625/children-07-00192-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c9/7589976/741d88eb0010/children-07-00192-g004.jpg

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