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[德国儿童和青少年健康访谈与检查调查(KiGGS)中的社会人口学特征——以健康总体状况评估为例的操作化及公共卫生意义]

[Sociodemographic characteristics in the German Health Interview and Examination Survey for Children and Adolescents (KiGGS) - operationalisation and public health significance, taking as an example the assessment of general state of health].

作者信息

Lange M, Kamtsiuris P, Lange C, Schaffrath Rosario A, Stolzenberg H, Lampert T

机构信息

Robert Koch-Institut, Berlin, BRD.

出版信息

Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2007 May-Jun;50(5-6):578-89. doi: 10.1007/s00103-007-0219-5.

Abstract

The German Health Interview and Examination Survey for Children and Adolescents (KiGGS) was conducted from May 2003 to May 2006 by the Robert Koch Institute in 167 communities representative of Germany. By collecting comprehensive and nationally representative data on the health status of children and adolescents aged 0 to 17 years, the study aimed to fill a longstanding evidence gap. Data from 17,641 study participants will be analysed in a timely and systematic manner by the Robert Koch Institute. Initially mainly descriptive analyses as presented in the current special issue on the KiGGS study, provide information on the distribution of main health characteristics according to sociodemographic key variables, including age, sex, region of residence (former East/West Germany), social status, and migrant background. We report here the rationale for a standard set of stratifying variables and the operationalisation of composite variables. Furthermore, we illustrate the public health relevance of the observed group differences using the example of an important health indicator: parents' evaluation of their children's general state of health.

摘要

德国儿童和青少年健康访谈与检查调查(KiGGS)于2003年5月至2006年5月由罗伯特·科赫研究所(Robert Koch Institute)在德国具有代表性的167个社区开展。通过收集有关0至17岁儿童和青少年健康状况的全面且具有全国代表性的数据,该研究旨在填补长期存在的证据空白。罗伯特·科赫研究所将及时、系统地分析来自17,641名研究参与者的数据。最初主要是如本期关于KiGGS研究的特刊中所呈现的描述性分析,提供了根据社会人口统计学关键变量(包括年龄、性别、居住地区(原东德/西德)、社会地位和移民背景)划分的主要健康特征分布信息。我们在此报告一组标准分层变量的基本原理以及复合变量的操作方法。此外,我们以一项重要健康指标为例,即父母对其子女总体健康状况的评估,来说明所观察到的群体差异对公共卫生的相关性。

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