Adeyeye Temilayo, Insaf Tabassum Zarina, Adler Catherine, Wagner Victoria, Proj Anisa, McCauley Susan
Bureau of Environmental and Occupational Epidemiology, New York State Department of Health, Albany, NY 12237, USA.
Department of Environmental Health Sciences, University at Albany School of Public Health, Albany, NY 12222, USA.
Eco Environ Health. 2024 Apr 26;3(3):300-307. doi: 10.1016/j.eehl.2024.04.005. eCollection 2024 Sep.
This study aims to evaluate the association between social determinants, environmental exposure metrics, and the risk of asthma emergency department (ED) visits in the New York State (NYS) Medicaid population using small-area analysis. Traffic densities for each census tract in NYS were calculated using the length of road segments within each tract and total area of the tract to produce a measure of average number of vehicles per square meter per day. Data on social determinants of health including internal and external environments and other demographic factors were obtained from various sources. Poisson regression analyses were conducted to identify significant factors associated with asthma ED visits in Medicaid claim and encounter data for years 2005-2015. High traffic density in NYS excluding New York City (NYC) correlated with increased risk of asthma ED visits (RR 1.69; 95% CI: 1.42, 2.00), mitigated by adjusting for environmental and social determinants (RR 1.00; 95% CI: 0.85, 1.19). Similar trends were observed in NYC only (RR 1.19; 95% CI: 1.00, 1.41), with the adjusted risk remaining elevated (RR 1.14; 95% CI: 0.98, 1.33) albeit not statistically significant. Living in census tracts with high concentrated disadvantage index, high proportions of minorities, and less green space predicted higher asthma ED visits. We mapped predicted rates and model residuals to identify areas of high risk. Our results support previous findings that environmental and social risk factors in poor and urban areas contribute to asthma exacerbations in the NYS Medicaid population, even if they may not necessarily contribute to its development.
本研究旨在通过小区域分析,评估纽约州(NYS)医疗补助人群中社会决定因素、环境暴露指标与哮喘急诊就诊风险之间的关联。利用每个普查区道路段的长度和该区域的总面积,计算纽约州每个普查区的交通密度,以得出每平方米每天平均车辆数的指标。从各种来源获取了包括内部和外部环境以及其他人口因素在内的健康社会决定因素数据。进行泊松回归分析,以确定2005 - 2015年医疗补助索赔和就诊数据中与哮喘急诊就诊相关的显著因素。纽约市(NYC)以外的纽约州高交通密度与哮喘急诊就诊风险增加相关(相对风险[RR] 1.69;95%置信区间[CI]:1.42,2.00),在调整环境和社会决定因素后风险降低(RR 1.00;95% CI:0.85,1.19)。仅在纽约市也观察到类似趋势(RR 1.19;95% CI:1.00,1.41),调整后的风险仍然升高(RR 1.14;95% CI:0.98,1.33),尽管无统计学意义。生活在劣势指数高度集中、少数族裔比例高且绿地较少的普查区,预测哮喘急诊就诊率更高。我们绘制了预测率和模型残差图,以确定高风险区域。我们的结果支持先前的研究发现,即贫困和城市地区的环境及社会风险因素会导致纽约州医疗补助人群哮喘病情加重,即使这些因素不一定导致哮喘的发病。