Predictors of overweight and obesity in five to seven-year-old children in Germany:: Results from cross-sectional studies
Predictors of overweight and obesity in five to seven-year-old children in Germany:: Results from cross-sectional studies
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DOI：
10.1186/1471-2458-8-171
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发表时间：
2008-05-21
影响因子：
4.5
通讯作者：
Kraemer, Ursula
中科院分区：
文献类型：
--
作者：
Apfelbacher, Christian J.;Loerbroks, Adrian;Kraemer, Ursula
背景：儿童肥胖是一个严重的公共卫生问题，流行病学研究是重要的，以确定预测因素。它是本研究的目的是分析与超重/肥胖的德国children.Methods样本的因素：35,434 5至7岁的儿童（50.9%的男孩）在1991年和2000年之间在几个农村和城市地区在东部和西部德国参加了横断面研究。测量体重和身高，计算体重指数。国际肥胖工作组推荐的国际分界点被用来对儿童超重和肥胖进行分类。预测模型分析独立的相关因素，使用逻辑回归调整confounding.Results：15.5%超重，4.3%肥胖。研究发现，除德国籍以外的女性、在居住地吸烟和出生体重增加会增加超重和肥胖的几率，而教育水平提高、居住空间> 75 m2和母乳喂养超过3个月则呈负相关。这些发现为公共卫生行动提供了更多的证据，无论是通过健康促进战略，（促进母乳喂养，解决吸烟问题）和更广泛的社会变革管理（解决移民家庭和教育水平低家庭的儿童问题）。
Background: Childhood obesity is a serious public health problem and epidemiological studies are important to identify predictive factors. It is the aim of this study to analyse factors associated with overweight/obesity in samples of German children.Methods: 35,434 five to seven year-old children (50.9% boys) participated in cross-sectional studies between 1991 and 2000 in several rural and urban areas in East and West Germany. Weight and height were measured and body mass index was calculated. International cut-off points, recommended by the International Obesity Task Force, were used to classify childhood overweight and obesity. Predictive modelling was employed to analyse independently associated factors, using logistic regression to adjust for confounding.Results: 15.5% were overweight, and 4.3% were obese. Female sex, other than German nationality, smoking in the living place and increasing birth weight were found to increase the odds of overweight and obesity, while increasing educational level, living space > 75 m(2) and breastfeeding for more than three months were inversely associated.Conclusion: The findings add to the evidence informing public health action, both through health promotion strategies (promoting breastfeeding, tackling smoking) and wider societal change management (addressing children from migrant families and families with low educational level).