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Vulnerability-Based Spatial Sampling Stratification for the National Children’s Study, Worcester County, Massachusetts: Capturing Health-Relevant Environmental and Sociodemographic Variability

机译:马萨诸塞州伍斯特县的基于漏洞的国家儿童研究空间抽样分层:捕获与健康相关的环境和社会人口统计学变异

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Background The National Children’s Study is the most ambitious study ever attempted in the United States to assess how environmental factors impact child health and development. It aims to follow 100,000 children from gestation until 21 years of age. Success requires breaking new interdisciplinary ground, starting with how to select the sample of > 1,000 children in each of 105 study sites; no standardized protocol exists for stratification of the target population by factoring in the diverse environments it inhabits. Worcester County, Massachusetts, like other sites, stratifies according to local conditions and local knowledge, subject to probability sampling rules. Objectives We answer the following questions: How do we divide Worcester County into viable strata that represent its health-relevant environmental and sociodemographic heterogeneity, subject to sampling rules? What potential does our approach have to inform stratification at other sites? Results We developed a multivariable, vulnerability-based method for spatial sampling consisting of two descriptive indices: a hazards/stressors exposure index (comprising three proxy variables), and an adaptive capacity/sociodemographic character index (five variables). Multivariable, health-relevant stratification at the start of the study may improve detection power for environment–child health associations down the line. Eighteen strata capture countywide heterogeneity in the indices and have optimal relative homogeneity within each. They achieve comparable expected birth counts and conform to local concepts of space. Conclusion The approach offers moderate to high potential to inform other sites, limited by intersite differences in data availability, geodemographics, and technical capacity. Energetic community engagement from the start promotes local stratification coherence, plus vital researcher–community trust and co-ownership for sustainability.
机译:背景资料国家儿童研究是美国有史以来最雄心勃勃的研究,旨在评估环境因素如何影响儿童的健康和发展。它的目标是从怀孕到21岁为止,要追踪100,000名儿童。成功需要突破性的跨学科领域,首先是如何在105个研究地点中的每一个中选择> 1,000名儿童作为样本;没有通过考虑目标人群所居住的不同环境来对目标人群进行分层的标准化协议。与其他地点一样,马萨诸塞州伍斯特县根据当地条件和当地知识进行分层,但要遵循概率抽样规则。目标我们回答以下问题:在抽样规则的基础上,我们如何将伍斯特县划分为代表其与健康相关的环境和社会人口统计学异质性的可行地层?我们的方法有什么潜力来告知其他站点的分层情况?结果我们开发了一种用于空间采样的基于变量的多变量方法,该方法由两个描述性指标组成:危险/应激源暴露指数(包含三个代理变量)和自适应容量/社会人口学特征指标(五个变量)。在研究开始时,与健康相关的多变量分层可能会提高环境-儿童健康协会的检测能力。 18个地层在指标中捕获了全县的异质性,并且在每个指标中具有最佳的相对同质性。他们达到了可比的预期出生数,并符合当地的空间观念。结论由于受站点间数据可用性,地理人口统计和技术能力方面的差异的限制,该方法具有中等到较高的潜力来告知其他站点。从一开始就充满活力的社区参与将促进地方分层的一致性,以及至关重要的研究者-社区信任和共同所有权,以实现可持续性。

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