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欧洲青少年营养健康生活方式横断面研究的设计与实施

Design and implementation of the Healthy Lifestyle in Europe by Nutrition in Adolescence Cross-Sectional Study.

作者信息

Moreno L A, De Henauw S, González-Gross M, Kersting M, Molnár D, Gottrand F, Barrios L, Sjöström M, Manios Y, Gilbert C C, Leclercq C, Widhalm K, Kafatos A, Marcos A

机构信息

Escuela Universitaria de Ciencias de la Salud, Universidad de Zaragoza, Zaragoza, Spain.

出版信息

Int J Obes (Lond). 2008 Nov;32 Suppl 5:S4-11. doi: 10.1038/ijo.2008.177.

DOI:10.1038/ijo.2008.177
PMID:19011652
Abstract

OBJECTIVE

To provide an overview of the Healthy Lifestyle in Europe by Nutrition in Adolescence Cross-Sectional Study (HELENA-CSS) design, with particular attention to its quality control procedures. Other important methodological aspects are described in detail throughout this supplement.

DESIGN

Description of the HELENA-CSS sampling and recruitment approaches, standardization and harmonization processes, data collection and analysis strategies and quality control activities.

RESULTS

The HELENA-CSS is a multi-centre collaborative study conducted in European adolescents located in urban settings. The data management systems, quality assurance monitoring activities, standardized manuals of operating procedures and training and study management are addressed in this paper. Various quality controls to ensure collection of valid and reliable data will be discussed in this supplement, as well as quantitative estimates of measurement error.

CONCLUSION

The great advantage of the HELENA-CSS is the strict standardization of the fieldwork and the blood analyses, which precludes to a great extent the kind of immeasurable confounding bias that often interferes when comparing results from isolated studies.

摘要

目的

概述欧洲青少年营养健康生活方式横断面研究(HELENA-CSS)的设计,尤其关注其质量控制程序。本增刊将详细描述其他重要的方法学方面。

设计

描述HELENA-CSS的抽样和招募方法、标准化与协调过程、数据收集与分析策略以及质量控制活动。

结果

HELENA-CSS是一项针对欧洲城市青少年开展的多中心合作研究。本文阐述了数据管理系统、质量保证监测活动、标准化操作程序手册以及培训与研究管理。本增刊将讨论确保收集有效且可靠数据的各种质量控制措施,以及测量误差的定量估计。

结论

HELENA-CSS的一大优势在于实地调查和血液分析的严格标准化,这在很大程度上排除了在比较单独研究结果时经常干扰的那种无法衡量的混杂偏倚。

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