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利用基于卫星的暴露指标评估美国东南部温度对死亡率的慢性影响。

Chronic effects of temperature on mortality in the Southeastern USA using satellite-based exposure metrics.

作者信息

Shi Liuhua, Liu Pengfei, Wang Yan, Zanobetti Antonella, Kosheleva Anna, Koutrakis Petros, Schwartz Joel

机构信息

Harvard T.H. Chan School of Public Health, Department of Environmental Health, Harvard University, Boston, Massachusetts, USA.

Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA.

出版信息

Sci Rep. 2016 Jul 20;6:30161. doi: 10.1038/srep30161.

Abstract

Climate change may affect human health, particularly for elderly individuals who are vulnerable to temperature changes. While many studies have investigated the acute effects of heat, only a few have dealt with the chronic ones. We have examined the effects of seasonal temperatures on survival of the elderly in the Southeastern USA, where a large fraction of subpopulation resides. We found that both seasonal mean temperature and its standard deviation (SD) affected long-term survival among the 13 million Medicare beneficiaries (aged 65+) in this region during 2000-2013. A 1 °C increase in summer mean temperature corresponded to an increase of 2.5% in death rate. Whereas, 1 °C increase in winter mean temperature was associated with a decrease of 1.5%. Increases in seasonal temperature SD also influence mortality. We decomposed seasonal mean temperature and its temperature SD into long-term geographic contrasts between ZIP codes and annual anomalies within ZIP code. Effect modifications by different subgroups were also examined to find out whether certain individuals are more vulnerable. Our findings will be critical to future efforts assessing health risks related to the future climate change.

摘要

气候变化可能会影响人类健康,尤其是对于那些易受温度变化影响的老年人。虽然许多研究调查了高温的急性影响,但只有少数研究涉及慢性影响。我们研究了季节性温度对美国东南部老年人存活率的影响,该地区居住着很大一部分特定人群。我们发现,2000年至2013年期间,季节性平均温度及其标准差(SD)影响了该地区1300万医疗保险受益人(65岁及以上)的长期存活率。夏季平均温度每升高1°C,死亡率就会增加2.5%。而冬季平均温度每升高1°C,死亡率则会降低1.5%。季节性温度标准差的增加也会影响死亡率。我们将季节性平均温度及其温度标准差分解为邮政编码之间的长期地理差异以及邮政编码内的年度异常值。我们还研究了不同亚组的效应修正,以确定某些个体是否更易受影响。我们的研究结果对于未来评估与未来气候变化相关的健康风险的工作至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ded4/4951799/810c73b4681d/srep30161-f1.jpg

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