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Socioeconomic situation and growth in infants and juveniles

机译:婴儿和青少年的社会经济形势和增长

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Background: Physical growth of children and adolescents depends on the interaction of genetic and environmental factors e.g. diet and living conditions. Aim: We aim to discuss the influence of socioeconomic situation, using income inequality and GDP per capita as indicators, on body height, body weight and the variability of height and weight in infants and juveniles. Material and methods: We re-analyzed data from 439 growth studies on height and weight published during the last 35 years. We added year-and country-matched GDP per capita (in current US$) and the Gini coefficient for each study. The data were divided into two age groups: infants (age 2) and juveniles (age 7). We used Pearson correlation and principal component analysis to investigate the data. Results: Gini coefficient negatively correlated with body height and body weight in infants and juveniles. GDP per capita showed a positive correlation with height and weight in both age groups. In infants the standard deviation of height increases with increasing Gini coefficient. The opposite is true for juveniles. A correlation of weight variability and socioeconomic indicators is absent in infants. In juveniles the variability of weight increases with declining Gini coefficient and increasing logGDP per capita. Discussion: Poverty and income inequality are generally associated with poor growth in height and weight. The analysis of the within-population height and weight variations however, shows that the associations between wealth, income, and anthropometric parameters are very complex and cannot be explained by common wisdom. They point towards an independent regulation of height and weight.
机译:背景:儿童和青少年的物理生长取决于遗传和环境因素的相互作用。饮食和生活条件。目的:我们的目标是讨论社会经济情况的影响,利用人均收入不平等和人均GDP作为指标,体重,体重和婴儿身高和体重的可变性。材料和方法:我们重新分析了在过去35年期间发表的439次增长研究的数据。我们增加了一年和国家匹配的人均GDP(目前的美元)和每项研究的基尼系数。数据分为两年龄段:婴儿(2岁)和青少年(年龄7)。我们使用Pearson相关和主成分分析来调查数据。结果:基尼系数与婴幼儿和少年的体重和体重呈负相关。 GDP人均GDP与两个年龄组的高度和体重显示出正相关。在婴儿中,高度的标准偏差随着基尼系数的增加而增加。对少年来说是正确的。在婴儿中不存在重量变异性和社会经济指标的相关性。在青少年中,重量变化随着基尼系数下降和增加人均LOGGDP。讨论:贫困和收入不平等通常与高度和体重差的增长差。然而,分析人口内高度和体重变化,表明财富,收入和人体测量参数之间的关联非常复杂,不能通过共同的智慧解释。他们指出了对高度和体重的独立调节。

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