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A life‐course approach to measuring socioeconomic position in population health surveillance systems

机译:一种衡量人口健康监测系统中社会经济地位的终生方法

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摘要

Measuring socioeconomic position (SEP) in population chronic disease and risk factor surveillance systems is essential for monitoring socioeconomic inequalities in health over time. Life‐course measures are an innovative way to supplement other SEP indicators in surveillance systems. A literature review examined the indicators of early‐life SEP that could potentially be used in population health surveillance systems. The criteria of validity, relevance, reliability and deconstruction were used to determine the value of potential indicators. Early‐life SEP indicators used in cross‐sectional and longitudinal studies included education level, income, occupation, living conditions, family structure and residential mobility. Indicators of early‐life SEP should be used in routine population health surveillance to monitor trends in the health and SEP of populations over time, and to analyse long‐term effects of policies on the changing health of populations. However, these indicators need to be feasible to measure retrospectively, and relevant to the historical, geographical and sociocultural context in which the surveillance system is operating.
机译:测量人口慢性病和危险因素监测系统中的社会经济地位(SEP)对于随着时间的推移监测健康方面的社会经济不平等至关重要。生命过程措施是一种补充监视系统中其他SEP指标的创新方法。文献综述检查了可能在人群健康监测系统中使用的早期SEP指标。使用有效性,相关性,可靠性和破坏性的标准来确定潜在指标的价值。在横断面和纵向研究中使用的早期SEP指标包括教育水平,收入,职业,生活条件,家庭结构和居住流动性。在常规的人口健康监测中应使用早期SEP指标,以监测一段时间内人口健康和SEP的趋势,并分析政策对人口健康变化的长期影响。但是,这些指标需要可行,以便进行追溯测量,并与监视系统运行所在的历史,地理和社会文化背景相关。

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