首页> 美国卫生研究院文献>International Journal of Environmental Research and Public Health >Fat Mass Centile Charts for Brazilian Children and Adolescents and the Identification of the Roles of Socioeconomic Status and Physical Fitness on Fat Mass Development
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Fat Mass Centile Charts for Brazilian Children and Adolescents and the Identification of the Roles of Socioeconomic Status and Physical Fitness on Fat Mass Development

机译:巴西儿童和青少年的脂肪质量百分位图以及社会经济地位和身体素质对脂肪质量发展的作用的识别

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摘要

This paper presents fat mass centile charts for Brazilian youth and investigates the roles of socioeconomic status and physical fitness (PF) on fat mass (FM) development. Two northeast Brazilian samples were used: a cross-sectional sample of 3659 (1921 girls) aged 8 to 16 years and a mixed-longitudinal series of cohorts (8–10, 10–12, 12–14, 14–16 years) with 250 boys and 250 girls. A measure of somatic maturity was used as a marker of biological maturation; PF comprised agility, explosive and static strength, and aerobic capacity. Socioeconomic status was based on school attended; public or private. Slaughter’s anthropometric equations were used to estimate FM. Percentile charts was constructed using the LMS method. HLM (Hierarchical Linear Model) 7 software modeled FM changes, identifying inter-individual differences and their covariates. Girls and boys had different FM percentile values at each age; FM increased nonlinearly in both girls and boys. Higher PF levels reduced FM changes across time in both sexes. Sex-specific non-linear FM references were provided representing important tools for nutritionists, pediatriciann and educators. Physical fitness levels were found to act as a protective factor in FM increases. As such, we emphasize PF importance as a putative health marker and highlight the need for its systematic development across the school years.
机译:本文介绍了巴西青年的脂肪质量百分位图,并研究了社会经济状况和身体素质(PF)在脂肪质量(FM)发展中的作用。使用了巴西东北部的两个样本:横截面样本为3659名(1921名女孩),年龄8至16岁,混合纵向混合队列(8-10、10-12、12-14、14-16岁) 250个男孩和250个女孩。体细胞成熟度的量度用作生物成熟度的标志; PF包括敏捷性,爆炸和静态强度以及有氧能力。社会经济地位基于就读学校;公共或私人。使用Slaughter的人体测量方程来估算FM。百分位图使用LMS方法构建。 HLM(分层线性模型)7软件为FM变化建模,识别个体之间的差异及其协变量。女孩和男孩在每个年龄段都有不同的FM百分位数值;男孩和女孩的FM非线性增加。较高的PF水平可减少两性随时间变化的FM变化。提供了针对性别的非线性FM参考,这些参考代表了营养学家,儿科医生和教育工作者的重要工具。发现身体健康水平是FM增加的保护因素。因此,我们强调PF作为公认的健康标志物的重要性,并强调在整个学年中需要对其进行系统开发。

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