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      Impacts of Temperature and its Variability on Mortality in New England

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          Abstract

          Rapid buildup of greenhouse gases is expected to increase the Earth surface mean temperature, with unclear effects on temperature variability 13 . This adds urgency to better understand the direct effects of the changing climate on human health. However, the effects of prolonged exposures to temperatures, which are important for understanding the public health burden, are unclear. Here we demonstrate that long-term survival was significantly associated with both seasonal mean values and standard deviations (SDs) of temperature among the Medicare population (aged 65+) in New England, and break that down into long-term contrasts between ZIP codes and annual anomalies. A rise in summer mean temperature of 1 °C was associated with 1.0% higher death rate whereas an increase in winter mean temperature corresponded to 0.6% lower mortality. Increases in temperature SDs for both summer and winter were harmful. The increased mortality in warmer summers was entirely due to anomalies, while it was long term average differences in summer SD across ZIP codes that drove the increased risk. For future climate scenarios, seasonal mean temperatures may in part account for the public health burden, but excess public health risk of climate change may also stem from changes of within season temperature variability.

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          Most cited references31

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          A link between reduced Barents-Kara sea ice and cold winter extremes over northern continents

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            The potential impacts of climate variability and change on temperature-related morbidity and mortality in the United States.

            Heat and heat waves are projected to increase in severity and frequency with increasing global mean temperatures. Studies in urban areas show an association between increases in mortality and increases in heat, measured by maximum or minimum temperature, heat index, and sometimes, other weather conditions. Health effects associated with exposure to extreme and prolonged heat appear to be related to environmental temperatures above those to which the population is accustomed. Models of weather-mortality relationships indicate that populations in northeastern and midwestern U.S. cities are likely to experience the greatest number of illnesses and deaths in response to changes in summer temperature. Physiologic and behavioral adaptations may reduce morbidity and mortality. Within heat-sensitive regions, urban populations are the most vulnerable to adverse heat-related health outcomes. The elderly, young children, the poor, and people who are bedridden or are on certain medications are at particular risk. Heat-related illnesses and deaths are largely preventable through behavioral adaptations, including the use of air conditioning and increased fluid intake. Overall death rates are higher in winter than in summer, and it is possible that milder winters could reduce deaths in winter months. However, the relationship between winter weather and mortality is difficult to interpret. Other adaptation measures include heat emergency plans, warning systems, and illness management plans. Research is needed to identify critical weather parameters, the associations between heat and nonfatal illnesses, the evaluation of implemented heat response plans, and the effectiveness of urban design in reducing heat retention.
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              Human circulatory and thermoregulatory adaptations with heat acclimation and exercise in a hot, dry environment.

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                Author and article information

                Journal
                101557419
                39051
                Nat Clim Chang
                Nat Clim Chang
                Nature climate change
                1758-678X
                1758-6798
                16 June 2015
                13 July 2015
                November 2015
                01 May 2016
                : 5
                : 988-991
                Affiliations
                [1 ]Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, 02115, USA
                [2 ]Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Beer Sheva, PO Box 653, Israel
                [3 ]School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, 02138, USA
                [4 ]Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, 02115, USA
                Author notes
                []Correspondence to: Joel D. Schwartz, Department of Environmental Health and Epidemiology, Harvard T.H. Chan School of Public Health, 401 Park Drive, Landmark Center, Boston, MA 02215, USA. Phone: 617-384-8752, joel@ 123456hsph.harvard.edu
                Article
                NIHMS697389
                10.1038/nclimate2704
                4666547
                26640524
                6fc0477d-6b4b-42b1-a7d7-4c673131c76c

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