globalchange  > 过去全球变化的重建
DOI: 10.1186/s12940-019-0467-5
WOS记录号: WOS:000465137500002
论文题名:
Estimating policy-relevant health effects of ambient heat exposures using spatially contiguous reanalysis data
作者: Adeyeye, Temilayo E.1; Insaf, Tabassum Z.1,3; Al-Hamdan, Mohammad Z.2; Nayak, Seema G.1; Stuart, Neil4; DiRienzo, Stephen4; Crosson, William L.2
通讯作者: Insaf, Tabassum Z.
刊名: ENVIRONMENTAL HEALTH
EISSN: 1476-069X
出版年: 2019
卷: 18
语种: 英语
英文关键词: Extreme heat ; Evidence-based public health ; Heat advisory ; Reanalysis
WOS关键词: AIR-POLLUTION ; CLIMATE-CHANGE ; TEMPERATURE ; MORTALITY ; URBAN ; TIME ; MORBIDITY ; US
WOS学科分类: Environmental Sciences ; Public, Environmental & Occupational Health
WOS研究方向: Environmental Sciences & Ecology ; Public, Environmental & Occupational Health
英文摘要:

BackgroundRegional National Weather Service (NWS) heat advisory criteria in New York State (NYS) were based on frequency of heat events estimated by sparse monitoring data. These may not accurately reflect temperatures at which specific health risks occur in large geographic regions. The objectives of the study were to use spatially resolved temperature data to characterize health risks related to summertime heat exposure and estimate the temperatures at which excessive risk of heat-related adverse health occurs in NYS. We also evaluated the need to adjust current heat advisory threshold and messaging based on threshold temperatures of multiple health outcomes.MethodsWe assessed the effect of multi-day lag exposure for maximum near-surface air temperature (T-max) and maximum Heat Index derived from the gridded National Land Data Assimilation System (NLDAS) reanalysis dataset on emergency department (ED) visits/ hospitalizations for heat stress, dehydration, acute kidney failure (AKF) and cardiovascular diseases (CVD) using a case-crossover analysis during summers of 2008-2012. We assessed effect modification using interaction terms and stratified analysis. Thresholds were estimated using piecewise spline regression.ResultsWe observed an increased risk of heat stress (Risk ratio (RR)=1.366, 95% confidence interval (CI): 1.347, 1.386) and dehydration (RR=1.024, 95% CI: 1.021, 1.028) for every 1 degrees C increase in T-max on the day of exposure. The highest risk for AKF (RR=1.017, 95% CI: 1.014, 1.021) and CVD (RR=1.001, 95% CI: 1.000, 1.002) were at lag 1 and 4 respectively. The increased risk of heat-health effects persists up to 6days. Rural areas of NYS are at as high a risk of heat-health effects as urban areas. Heat-health risks start increasing at temperatures much lower than the current NWS criteria.ConclusionReanalysis data provide refined exposure-response functions for health research, in areas with sparse monitor observations. Based on this research, rural areas in NYS had similar risk for health effects of heat. Heat advisories in New York City (NYC) had been reviewed and lowered previously. As such, the current NWS heat advisory threshold was lowered for the upstate region of New York and surrounding areas. Enhanced outreach materials were also developed and disseminated to local health departments and the public.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/136620
Appears in Collections:过去全球变化的重建

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作者单位: 1.New York State Dept Hlth, Bur Environm & Occupat Epidemiol, Albany, NY 12237 USA
2.NASA, Univ Space Res Assoc, Marshall Space Flight Ctr, Huntsville, AL USA
3.SUNY Albany, Sch Publ Hlth, Dept Epidemiol & Biostat, Rensselaer, NY 12144 USA
4.Natl Weather Serv, NOAA, Albany, NY USA

Recommended Citation:
Adeyeye, Temilayo E.,Insaf, Tabassum Z.,Al-Hamdan, Mohammad Z.,et al. Estimating policy-relevant health effects of ambient heat exposures using spatially contiguous reanalysis data[J]. ENVIRONMENTAL HEALTH,2019-01-01,18
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