Heat and Mortality in New York City Since the Beginning of the 20th Century.

Petkova, EP; Gasparrini, A; Kinney, PL; (2014) Heat and Mortality in New York City Since the Beginning of the 20th Century. Epidemiology (Cambridge, Mass), 25 (4). pp. 554-60. ISSN 1044-3983 DOI: https://doi.org/10.1097/EDE.0000000000000123

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BACKGROUND: Heat is recognized as one of the deadliest weather-related phenomena. Although the impact of high temperatures on mortality has been a subject of extensive research, few previous studies have assessed the impact of population adaptation to heat.<br/> METHODS: We examined adaptation patterns by analyzing daily temperature and mortality data spanning more than a century in New York City. Using a distributed-lag nonlinear model, we analyzed the heat-mortality relation in adults age 15 years or older in New York City during 2 periods: 1900-1948 and 1973-2006, to quantify population adaptation to high temperatures over time.<br/> RESULTS: During the first half of the century, the decade-specific relative risk of mortality at 29°C vs. 22°C ranged from 1.30 (95% confidence interval [CI]= 1.25-1.36) in the 1910s to 1.43 (1.37-1.49) in the 1900s. Since the 1970s, however, there was a gradual and substantial decline in the relative risk, from 1.26 (1.22-1.29) in the 1970s to 1.09 (1.05-1.12) in the 2000s. Age-specific analyses indicated a greater risk for people age 65 years and older in the first part of the century, but there was less evidence for enhanced risk among this older age group in more recent decades.<br/> CONCLUSION: The excess mortality with high temperatures observed between 1900 and 1948 was substantially reduced between 1973 and 2006, indicating population adaption to heat in recent decades. These findings may have implications for projecting future impacts of climate change on mortality.<br/>

Item Type: Article
Faculty and Department: Faculty of Public Health and Policy > Dept of Social and Environmental Health Research
Research Centre: Centre for Statistical Methodology
PubMed ID: 24802366
Web of Science ID: 337316700013
URI: http://researchonline.lshtm.ac.uk/id/eprint/1701318


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