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青少年体脂肪的人体测量指标与最大摄氧量的关联簇。

Clusters of anthropometric indicators of body fat associated with maximum oxygen uptake in adolescents.

机构信息

Research Center in Kinanthropometry and Human Performance, Federal University of Santa Catarina, Florianópolis, Santa Catarina, Brasil.

Study Lab of Striated Muscle, Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, Brasil.

出版信息

PLoS One. 2018 Mar 13;13(3):e0193965. doi: 10.1371/journal.pone.0193965. eCollection 2018.

DOI:10.1371/journal.pone.0193965
PMID:29534098
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5849300/
Abstract

INTRODUCTION

The aim of this study was to evaluate different clusters of anthropometric indicators (body mass index | BMI |, waist circumference | WC |, waist-to-height ratio | WHtR |, triceps skinfold |TR SF|, subscapular skinfold |SE SF|, sum of the triceps and subscapular skinfolds | ΣTR + SE |, and sum of the triceps, subscapular and suprailiac folds | ΣTR + SE + SI|) associated with the VO2max levels in adolescents.

METHODS

The study included 1,132 adolescents (aged 14-19 years) enrolled in public schools of São José, Santa Catarina, Brazil, in the 2014 academic year. The dependent variable was the cluster of anthropometric indicators (BMI, WC, WHtR, TR SF, SE SF, SI SF, ΣTR + SE and ΣTR + SE + SI) of excess body fat. The independent variable was maximum oxygen uptake (VO2max), estimated by the modified Canadian aerobic fitness test-mCAFT. Control variables were: age, skin color, economic level, maternal education, physical activity and sexual maturation. Multinomial logistic regression was used for associations between the dependent and independent variables. Binary logistic regression was performed to identify the association between adolescents with all anthropometric indicators in excess and independent variables.

RESULTS

One in ten adolescents presented all anthropometric indicators of excess body fat. Multinomial regression showed that with each increase of one VO2max unit, the odds of adolescents having three, four, five or more anthropometric indicators of excess body fat decreased by 0.92, 0.85 and 0.73 times, respectively. In the binary regression, this fact was reconfirmed, demonstrating that with each increase of one VO2max unit, the odds of adolescents having simultaneously the eight anthropometric indicators of excess body fat decreased by 0.55.

CONCLUSION

It was concluded that with each increase of one VO2max unit, adolescents decreased the odds of simultaneously presenting three or more anthropometric indicators of excess body fat, regardless of biological, economic and lifestyle factors. In addition, the present study identified that one in ten adolescents had all anthropometric indicators of excess body fat.

摘要

介绍

本研究旨在评估不同的人体测量指标聚类(体重指数 | BMI | 、腰围 | WC | 、腰高比 | WHtR | 、三头肌皮褶厚度 |TR SF| 、肩胛下皮褶厚度 |SE SF| 、三头肌和肩胛下皮褶之和 | ΣTR + SE | 、三头肌、肩胛下和髂嵴皮褶之和 | ΣTR + SE + SI| )与青少年最大摄氧量(VO2max)水平的相关性。

方法

本研究纳入了 2014 学年巴西圣若泽公立学校的 1132 名青少年(年龄 14-19 岁)。因变量为多余体脂的人体测量指标聚类(BMI、WC、WHtR、TR SF、SE SF、SI SF、ΣTR + SE 和 ΣTR + SE + SI)。自变量为最大摄氧量(VO2max),通过改良加拿大有氧健身测试-mCAFT 进行估计。控制变量为年龄、肤色、经济水平、母亲教育程度、体力活动和性成熟度。采用多项逻辑回归分析因变量与自变量之间的相关性。二项逻辑回归用于分析青少年所有多余人体测量指标与自变量之间的关系。

结果

十分之一的青少年存在所有多余体脂的人体测量指标。多项回归显示,每增加 1 个 VO2max 单位,青少年存在 3、4、5 个或更多多余体脂人体测量指标的几率分别降低 0.92、0.85 和 0.73 倍。在二元回归中,这一事实得到了再次证实,表明每增加 1 个 VO2max 单位,青少年同时存在 8 个体脂多余人体测量指标的几率降低 0.55 倍。

结论

随着 VO2max 每增加 1 个单位,青少年同时存在 3 个或更多多余体脂人体测量指标的几率降低,无论生物学、经济和生活方式因素如何。此外,本研究发现,十分之一的青少年存在所有多余体脂的人体测量指标。