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Measurement and analysis of quality of life related to environmental hazards: the methodology illustrated by recent epidemiological studies

机译：与环境危害有关的生活质量的测量和分析：最近流行病学研究表明的方法

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摘要

The measurement and analysis of health related quality of life for populations subject to environmental risks, and the measurement and analysis of the perception of these risks, require a rigorous scientific methodological approach. The proposed methodology is illustrated, based mainly on recent large epidemiological studies carried out in Europe. The first study was carried out during 2002 and 2003 in eight European cities, with the main goal of analysing the effect of the immediate environment on health status. At the end of the second study, conducted in 2005-2006 in several cities, a perception scale for air quality was developed and validated. The last study, conducted in 2012-2014 within the local population of an industrial platform, had as its main objective the characterization of the impact of this industrial site on environment and health. Health related quality of life (HrQoL) is one of the most important outcomes measured in clinical trials over the past 20 years. More recently, it has also become important in epidemiological surveys, where, unlike clinical trials, the number of end points involved is generally large. The measurement and statistical analysis of HrQoL and/or risk perception remain important scientific issues. It is generally done mainly by internal consistency methods, because external standards or experts are generally not available. These methods are based mainly on the statistical validation of measurement models using goodness-of-fit tests. We will show in this paper how such validation can be done using the empirical backward reliability curve (the α-curve).
机译：对受环境风险影响的人群的健康相关生活质量进行测量和分析，以及对这些风险的感知的测量和分析，需要严格的科学方法论方法。主要基于最近在欧洲进行的大规模流行病学研究，说明了所提出的方法。首次研究于2002年至2003年在八个欧洲城市进行，其主要目标是分析当前环境对健康状况的影响。在2005-2006年在多个城市进行的第二项研究结束时，制定并验证了空气质量感知量表。上一次研究于2012-2014年在一个工业平台的当地居民中进行，其主要目标是表征该工业场所对环境和健康的影响。健康相关的生活质量（HrQoL）是过去20年临床试验中衡量的最重要结果之一。最近，它在流行病学调查中也变得很重要，在流行病学调查中，与临床试验不同，所涉及的终点数量通常很大。 HrQoL和/或风险感知的测量和统计分析仍然是重要的科学问题。通常，这主要是通过内部一致性方法完成的，因为通常没有外部标准或专家。这些方法主要基于使用拟合优度检验的测量模型的统计验证。我们将在本文中展示如何使用经验后向可靠性曲线（α曲线）进行此类验证。

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