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Neighborhood Sociodemographic Effects on the Associations Between Long-term PM(2.5) Exposure and Cardiovascular Outcomes and Diabetes Mellitus
Exposure to PM(2.5) air pollution and neighborhood-level sociodemographic characteristics are associated with cardiovascular disease and possibly diabetes mellitus. However, the joint effect of sociodemographics and PM(2.5) on these outcomes is uncertain. METHODS: We examined whether clusters of soc...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6415293/ https://www.ncbi.nlm.nih.gov/pubmed/30882060 http://dx.doi.org/10.1097/EE9.0000000000000038 |
Sumario: | Exposure to PM(2.5) air pollution and neighborhood-level sociodemographic characteristics are associated with cardiovascular disease and possibly diabetes mellitus. However, the joint effect of sociodemographics and PM(2.5) on these outcomes is uncertain. METHODS: We examined whether clusters of sociodemographic characteristics modified effects of long-term PM(2.5) exposure on coronary artery disease (CAD), myocardial infarction (MI), hypertension, and diabetes mellitus. We used medical records data from 2,192 cardiac catheterization patients residing in North Carolina and assigned to one of six previously determined clusters. For each participant, we estimated annual PM(2.5) exposure at their primary residence using a hybrid model with a 1 km(2) resolution. We used logistic regression models adjusted for age, sex, body mass index, and smoking status to assess cluster-specific associations with PM(2.5) and to determine if there were interactions between cluster and PM(2.5) on outcomes. RESULTS: Compared with cluster 3 (OR = 0.93, 95% CI = 0.82, 1.07; urban, low proportion of black individuals and high socioeconomic status), we observed greater associations between PM(2.5) and hypertension in clusters 1 (OR = 1.22, 95% CI = 0.99, 1.50, P(int) 0.03) and 2 (OR = 1.64, 95% CI = 1.16–2.32, P(int) 0.003), which were urban, high proportion of black individuals, and low socioeconomic status. PM(2.5) was associated with MI (OR = 1.29, 95% CI = 1.16, 1.42) but not diabetes mellitus, regardless of cluster and was associated with CAD in cluster 3 (OR = 1.15, 95% CI = 1.00, 1.31) and overall (OR = 1.07, 95% CI = 0.98, 1.17). CONCLUSION: Areas of relative disadvantage have a stronger association between PM(2.5) and hypertension compared with areas of relative advantage. |
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