Influence of the Spatial Resolution of the Exposure Estimate in Determining the Association between Heat Waves and Adverse Health Outcomes.

Area-level estimates of temperature might lead to exposure misclassification in studies examining associations between heat waves and health outcomes. Our study compared the association between heat waves and preterm birth (PTB) or nonaccidental death (NAD) using exposure metrics at varying levels o...

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Publicado en:Annals of the American Association of Geographers Vol. 109; no. 3; pp. 875 - 887
Autores principales: Wu, Connor Y. H., Zaitchik, Benjamin F., Swarup, Samarth, Gohlke, Julia M.
Formato: Artículo
Publicado: Taylor & Francis Ltd May2019
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Acceso en línea:Ver este registro en EBSCOhost
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      dt: May2019
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        10.1080/24694452.2018.1511411
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        atl: Influence of the Spatial Resolution of the Exposure Estimate in Determining the Association between Heat Waves and Adverse Health Outcomes.
      aug:
        au:
          Wu, Connor Y. H.
          Zaitchik, Benjamin F.
          Swarup, Samarth
          Gohlke, Julia M.
        affil:
          Department of Social Sciences and Leadership College of Arts and Sciences, Troy University
          Department of Earth and Planetary Sciences, Johns Hopkins University
          Network Dynamics Simulation Science Laboratory, Biocomplexity Institute, Virginia Tech
          Department of Population Health Sciences, Virginia-Maryland College of Veterinary Medicine, Virginia Tech
      su:
        Health outcome assessment
        Spatial ability
        Heat waves (Meteorology)
        Premature labor
        Land surface temperature
      sug:
        subj:
          Health outcome assessment
          Spatial ability
          Heat waves (Meteorology)
          Premature labor
          Land surface temperature
      keyword:
        交叉案例设计
        早产
        温度。
        热浪
        非意外死亡
        alumbramiento prematuro
        case–crossover design
        diseño de caso cruzado
        heat waves
        muerte no accidental
        nonaccidental death
        olas de calor
        preterm birth
        temperatura
        temperature
        alumbramiento prematuro
        diseño de caso cruzado
        muerte no accidental
        olas de calor
        temperatura
        交叉案例设计
        早产
        温度。
        热浪
        非意外死亡
        交叉案例设计
        早产
        温度。
        热浪
        非意外死亡
        alumbramiento prematuro
        case–crossover design
        diseño de caso cruzado
        heat waves
        muerte no accidental
        nonaccidental death
        olas de calor
        preterm birth
        temperatura
        temperature
        alumbramiento prematuro
        diseño de caso cruzado
        muerte no accidental
        olas de calor
        temperatura
        交叉案例设计
        早产
        温度。
        热浪
        非意外死亡
      ab: Area-level estimates of temperature might lead to exposure misclassification in studies examining associations between heat waves and health outcomes. Our study compared the association between heat waves and preterm birth (PTB) or nonaccidental death (NAD) using exposure metrics at varying levels of spatial resolution: ZIP codes, 12.5 km, and 1 km. Using geocoded residential addresses on birth (1990–2010) and death (1997–2010) records from Alabama, we implemented a time-stratified case–crossover design to examine the association between heat waves and PTB or NAD. ZIP code and 12.5-km heat wave indexes (HIs) were derived using air temperatures from Phase 2 of the North American Land Data Assimilation System (NLDAS–2). We downscaled NLDAS–2 data, using land surface temperatures from the Moderate Resolution Imaging Spectroradiometer product, to estimate fine spatial resolution HIs (1 km). The association between heat waves and PTB or NAD was significant and positive using ZIP code, 12.5-km, and 1-km exposure metrics. Moreover, results show that these three exposure metric analyses produced similar effect estimates. Urban heat islands were evident with the 1-km metric. When analyses were stratified by rurality, we found that associations in urban areas were more positive than those in rural areas. Comparing results of models with a varying spatial resolution of the exposure metric allows for examination of potential bias associated with exposure misclassification.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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