Vulnerability of a low-income community in South Africa to air pollution: Exploring the use of structural equations modelling to identify appropriate interventions
Vulnerability of a low-income community in South Africa to air pollution: Exploring the use of structural equations modelling to identify appropriate interventions
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DOI：
10.1080/1943815x.2012.662512
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发表时间：
2012-01-01
影响因子：
2.4
通讯作者：
Das, Sonali
中科院分区：
文献类型：
--
作者：
John, Juanette;Das, Sonali
在这项研究中，某些家庭特征和特定的环境健康结果变量之间的关系进行了探讨，在一个低收入的社区，从城郊定居点，南非，目的是定位的重点领域，针对适当的干预。这一社区对环境污染相关健康后果的敏感性也可能受到家庭特征因素的影响，如营养状况、卫生行为和影响其免疫系统的其他疾病。结构方程模型被用来捕捉家庭特征和合并的呼吸健康结果变量之间的关系可能的网络。具体而言，在家庭层面考虑的两个特征是社会经济地位和家庭环境，这两个都是潜在的。结果显示，改善呼吸系统健康的主要干预措施应包括将非抽水马桶改为抽水马桶，增加厕所数量，确保定期收集废物，增加获得医疗保健的机会和增加家庭收入。
In this study, the relationship between certain household traits and specific environmental health outcome variables was explored in a low-income community from a peri-urban settlement in eMbalenhle, South Africa, with the aim of locating focus areas for targeting appropriate intervention. The susceptibility of this community to environmental pollution-related health outcomes may also be influenced by household-characterizing factors such as nutritional status, hygiene behaviours and other diseases that affect their immune system. Structural equations modelling was used to capture the possible web of relationships between the household traits and a combined respiratory health outcome variable. Specifically, the two traits considered at household level were socioeconomic status and household environment, both of which were latent. Results revealed that primary interventions to improve respiratory health should include converting non-flush toilets to flush toilets, increasing the number of toilets, ensuring regular waste collection, increasing access to medical care and increasing the household income.