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Multiple Determinants of Vulnerability for Emergency Department Visits for Heat-Related Illness in California 2005-2008 Warm Seasons

机译:2005-2008年加利福尼亚州暖季期间急诊科拜访与热相关疾病的脆弱性的多个因素

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Background: High temperatures are associated with risk of Heat-Related Illness (HRI) and other acute clinical outcomes. Information on HRI risk factors is rarely place-based; decision-makers need local-scale (e.g., neighborhood) data to inform strategies to reduce heat health impacts. Objective: In multi- determinant multi-level models assess relations between daily maximum temperature (Tmax) and emergency department (ED) visits for HRI and vulnerability factors, i.e., biological susceptibility (e.g., sex, age, race), physical environment (e.g., land-use, air quality), or socioeconomic (e.g., neighborhood assets). Methods: CA Office of Statewide Healthcare Planning and Development ED data for 2005-2008, restricted to the warm seasons (May 1-October 31) were used. Cases were defined as a HRI diagnosis (International Classification of Diseases (ICD) ninth revision, clinical modification (ICD9-CM) code 992.0-992.9). Non-HRI cases were retained as controls. Exclusions: If date of visit or residence ZIP code (ZC) was missing. ZC were converted to Zip Code Tabulation Area (ZCTA) to link census tract data to patients. Hierarchical generalized linear models with a logic link (SAS v9.3 PROC GLIMMIX) were used. For each exposure (daily Tmax, daily 03 or PM10) models included both the ZCTA-specific 4-year seasonal mean (Tmaxmn), and ZCTA-day (i.e., ED visit date) deviation from that mean (Tmaxdif). Interaction terms were used to evaluate effect modification. Results: HRI risk was positively associated with Tmaxdif (OR 1.02 95%CI: 1.016,1.019, p<.0001), and co-exposure to 03 (Tmaxdif*03dif) increased the risk (OR 1.051 95%CI: 1.043,1.059, p<.0001). Risk varied by age group, sex and race/ethnicity, with girls (especially those < 10 years), African American and Hispanic children, and elderly Black at greatest risk. ZCTA %-impervious surfaces, % multi-family homes were positively associated with HRI. These and other results pointed to interventions to reduce HRI risk.
机译:背景:高温与热相关疾病(HRI)和其他急性临床结果的风险有关。关于HRI危险因素的信息很少基于地点;决策者需要本地(例如,邻里)数据来指导减少热量对健康的影响的策略。目的:在多因素多层次模型中,评估每日最高温度(Tmax)和急诊科(ED)就HRI和易感性因素(例如,生物敏感性(例如性别,年龄,种族),身体环境(例如))之间的关系。 ,土地使用,空气质量)或社会经济(例如,邻里资产)。方法:使用CA Office of Statewide Healthcare Planning and Development的2005-2008年ED数据,仅限于温暖季节(5月1日至10月31日)。将病例定义为HRI诊断(国际疾病分类(ICD)第九版,临床修改(ICD9-CM)代码992.0-992.9)。非HRI病例保留作为对照。排除项:如果缺少访问日期或居住地邮政编码(ZC)。 ZC被转换为邮政编码列表区(ZCTA),以将普查区数据与患者相关联。使用具有逻辑链接的分层广义线性模型(SAS v9.3 PROC GLIMMIX)。对于每次暴露(每日Tmax,每日03或PM10),模型都包括特定于ZCTA的4年季节平均值(Tmaxmn)和ZCTA天(即ED访问日期)与平均值的偏差(Tmaxdif)。交互作用术语用于评估效果修改。结果:HRI风险与Tmaxdif(OR 1.02 95%CI:1.016,1.019,p <.0001)呈正相关,同时暴露于03(Tmaxdif * 03dif)增加了风险(OR 1.051 95%CI:1.043,1.059 ,p <.0001)。风险因年龄组,性别和种族/民族而异,女孩(尤其是那些小于10岁的女孩),非裔美国人和西班牙裔儿童以及年长的黑人风险最大。 ZCTA不可渗透表面的百分比,多户住宅的百分比与HRI呈正相关。这些和其他结果指出了降低HRI风险的干预措施。

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