Neighborhood violence and socioeconomic deprivation influence associations between acute air pollution and temperature on childhood asthma in New York city.
Neighborhood violence and socioeconomic deprivation influence associations between acute air pollution and temperature on childhood asthma in New York city.
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DOI：
10.1016/j.envres.2023.116235
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发表时间：
2023-05
影响因子：
8.3
通讯作者：
Rachit Sharma;Jamie L. Humphrey;L. Frueh;E. Kinnee;P. Sheffield;J. Clougherty
中科院分区：
文献类型：
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作者：
Rachit Sharma;Jamie L. Humphrey;L. Frueh;E. Kinnee;P. Sheffield;J. Clougherty
环境空气污染、温度和社会压力暴露与哮喘风险有关，具有潜在的协同效应。我们研究了急性污染和温度暴露与纽约市5-17岁儿童全年哮喘发病率的关系，并通过社区暴力犯罪和社会经济剥夺进行了修改。采用时间分层、病例交叉设计的条件logistic回归，我们量化了PM2.5、NO2、SO2、O3和最低日温度（Tmin）每日暴露量每增加10个单位的哮喘事件超额风险百分比。2005年至2011年期间，纽约市急诊科收治的145,834例哮喘病例的数据来自纽约州规划和研究合作系统（SPARCS）。使用纽约市社区空气调查（NYCCAS）空间数据和每日EPA污染和NOAA天气数据，分配了住宅和特定日期的时空暴露。2009年纽约警察局的暴力犯罪数据（研究中点）被汇总，社会经济剥夺指数（SDI）得分被分配到人口普查区。在控制共暴露和湿度的情况下，对滞后0 ~ 6天的每一种污染物或温度暴露分别拟合了单独的模型，并评估了暴力犯罪和SDI的五分位数相互调节的相互作用（修正）。在滞后期第1天，我们观察到寒冷季节pm2.5和so2的主效应更强[分别为4.90% （95% CI: 3.77-6.04）和8.57% (5.99-11.21)]；冷季滞后第0天的Tmin [2.26% (1.25-3.28)]；暖季滞后日no2和o3分别为[7.86%(6.66 ~ 9.07)]和[4.75%(3.53 ~ 5.97)]。暴力和SDI以非线性方式改变了主要效果；与假设相反，我们发现在低暴力和贫困五分之一中存在更强的关联。在非常高的应激源暴露下，尽管哮喘恶化非常普遍，但污染影响不太明显，这表明社会环境协同作用的潜在饱和效应。
Ambient air pollution, temperature, and social stressor exposures are linked with asthma risk, with potential synergistic effects. We examined associations for acute pollution and temperature exposures, with modification by neighborhood violent crime and socioeconomic deprivation, on asthma morbidity among children aged 5–17 years year-round in New York City. Using conditional logistic regression in a time-stratified, case-crossover design, we quantified percent excess risk of asthma event per 10-unit increase in daily, residence-specific exposures to PM2.5, NO2, SO2, O3, and minimum daily temperature (Tmin). Data on 145,834 asthma cases presenting to NYC emergency departments from 2005 to 2011 were obtained from the New York Statewide Planning and Research Cooperative System (SPARCS). Residence- and day-specific spatiotemporal exposures were assigned using the NYC Community Air Survey (NYCCAS) spatial data and daily EPA pollution and NOAA weather data. Point-level NYPD violent crime data for 2009 (study midpoint) was aggregated, and Socioeconomic Deprivation Index (SDI) scores assigned, by census tract. Separate models were fit for each pollutant or temperature exposure for lag days 0–6, controlling for co-exposures and humidity, and mutually-adjusted interactions (modification) by quintile of violent crime and SDI were assessed. We observed stronger main effects for PM2.5and SO2in the cold season on lag day 1 [4.90% (95% CI: 3.77–6.04) and 8.57% (5.99–11.21), respectively]; Tmin in the cold season on lag day 0 [2.26% (1.25–3.28)]; and NO2and O3in the warm season on lag days 1 [7.86% (6.66–9.07)] and 2 [4.75% (3.53–5.97)], respectively. Violence and SDI modified the main effects in a non-linear manner; contrary to hypotheses, we found stronger associations in lower-violence and -deprivation quintiles. At very high stressor exposures, although asthma exacerbations were highly prevalent, pollution effects were less apparent—suggesting potential saturation effects in socio-environmental synergism.