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Weather-Related Mortality: How Heat, Cold, and Heat Waves Affect Mortality in the United States
Open accessAbstract
BACKGROUND: Many studies have linked weather to mortality; however, role of such critical factors as regional variation, susceptible populations, and acclimatization remain unresolved. METHODS: We applied time-series models to 107 US communities allowing a nonlinear relationship between temperature and mortality by using a 14-year dataset. Second-stage analysis was used to relate cold, heat, and heat wave effect estimates to community-specific variables. We considered exposure timeframe, susceptibility, age, cause of death, and confounding from pollutants. Heat waves were modeled with varying intensity and duration. RESULTS: Heat-related mortality was most associated with a shorter lag (average of same day and previous day), with an overall increase of 3.0% (95% posterior interval: 2.4%-3.6%) in mortality risk comparing the 99th and 90th percentile temperatures for the community. Cold-related mortality was most associated with a longer lag (average of current day up to 25 days previous), with a 4.2% (3.2%-5.3%) increase in risk comparing the first and 10th percentile temperatures for the community. Mortality risk increased with the intensity or duration of heat waves. Spatial heterogeneity in effects indicates that weather-mortality relationships from 1 community may not be applicable in another. Larger spatial heterogeneity for absolute temperature estimates (comparing risk at specific temperatures) than for relative temperature estimates (comparing risk at community-specific temperature percentiles) provides evidence for acclimatization. We identified susceptibility based on age, socioeconomic conditions, urbanicity, and central air conditioning. CONCLUSIONS: Acclimatization, individual susceptibility, and community characteristics all affect heat-related effects on mortality.
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Citations
Cites
Inference for Multivariate Normal Hierarchical Models
Everson, P. J., & Morris, C. N. (2000) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/1467-9868.00239 · Cited by 107
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Mortality risk attributable to high and low ambient temperature: a multicountry observational study
Gasparrini, A., Guo, Y., Hashizume, M., Lavigne, E., Zanobetti, A., Schwartz, J., Tobias, A., Tong, S., Rocklöv, J., Forsberg, B., et al. (2015) · The Lancet · doi:10.1016/s0140-6736(14)62114-0 · Cited by 2,965
Self-citationDistributed lag non‐linear models
Gasparrini, A., Armstrong, B., & Kenward, M. G. (2010) · Statistics in Medicine · doi:10.1002/sim.3940 · Cited by 2,481
Estimating economic damage from climate change in the United States
Hsiang, S., Kopp, R., Jina, A., Rising, J., Delgado, M., Mohan, S., Rasmussen, D. J., Muir-Wood, R., Wilson, P., Oppenheimer, M., et al. (2017) · Science · doi:10.1126/science.aal4369 · Cited by 1,239
Anderson, G. B., & Bell, M. L. (2011) · Environmental Health Perspectives · doi:10.1289/ehp.1002313 · Cited by 1,191
Self-citationReducing and meta-analysing estimates from distributed lag non-linear models
Gasparrini, A., & Armstrong, B. (2013) · BMC Medical Research Methodology · doi:10.1186/1471-2288-13-1 · Cited by 1,081
Multivariate meta-analysis for non-linear and other multi-parameter associations
Gasparrini, A., Armstrong, B., & Kenward, M. G. (2012) · Statistics in Medicine · doi:10.1002/sim.5471 · Cited by 772
Xu, Z., FitzGerald, G., Guo, Y., Jalaludin, B., & Tong, S. (2016) · Environment International · doi:10.1016/j.envint.2016.02.007 · Cited by 659
Ambient Temperature and Morbidity: A Review of Epidemiological Evidence
Ye, X., Wolff, R., Yu, W., Vaneckova, P., Pan, X., & Tong, S. (2012) · Environmental Health Perspectives · doi:10.1289/ehp.1003198 · Cited by 660
Methods to Calculate the Heat Index as an Exposure Metric in Environmental Health Research
Anderson, G. B., Bell, M. L., & Peng, R. D. (2013) · Environmental Health Perspectives · doi:10.1289/ehp.1206273 · Cited by 573
Self-citationHeat wave impact on morbidity and mortality in the elderly population: a review of recent studies
Oudin Åström, D., Bertil, F., & Joacim, R. (2011) · Maturitas · doi:10.1016/j.maturitas.2011.03.008 · Cited by 547
Temporal Variation in Heat–Mortality Associations: A Multicountry Study
Gasparrini, A., Guo, Y., Hashizume, M., Kinney, P. L., Petkova, E. P., Lavigne, E., Zanobetti, A., Schwartz, J. D., Tobias, A., Leone, M., et al. (2015) · Environmental Health Perspectives · doi:10.1289/ehp.1409070 · Cited by 470
Founda, D., & Santamouris, M. (2017) · Scientific Reports · doi:10.1038/s41598-017-11407-6 · Cited by 437
Nguyen, J. L., Schwartz, J., & Dockery, D. W. (2014) · Indoor Air · doi:10.1111/ina.12052 · Cited by 410
Heat waves in the United States: definitions, patterns and trends
Smith, T. T., Zaitchik, B. F., & Gohlke, J. M. (2013) · Climatic Change · doi:10.1007/s10584-012-0659-2 · Cited by 396
Azhar, G. S., Mavalankar, D., Nori-Sarma, A., Rajiva, A., Dutta, P., Jaiswal, A., Sheffield, P., Knowlton, K., Hess, J. J., & on behalf of the Ahmedabad HeatClimate Study Group (2014) · PLoS ONE · doi:10.1371/journal.pone.0091831 · Cited by 325
Johnston, F., Hanigan, I., Henderson, S., Morgan, G., & Bowman, D. (2011) · Environmental Research · doi:10.1016/j.envres.2011.05.007 · Cited by 294
Ambient temperature and cardiovascular mortality: a systematic review and meta-analysis
Moghadamnia, M. T., Ardalan, A., Mesdaghinia, A., Keshtkar, A., Naddafi, K., & Yekaninejad, M. S. (2017) · PeerJ · doi:10.7717/peerj.3574 · Cited by 208
Knowlton, K., Kulkarni, S., Azhar, G., Mavalankar, D., Jaiswal, A., Connolly, M., Nori-Sarma, A., Rajiva, A., Dutta, P., Deol, B., et al. (2014) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph110403473 · Cited by 203
Minimization of heatwave morbidity and mortality
Kravchenko, J., Abernethy, A. P., Fawzy, M., & Lyerly, H. K. (2013) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2012.11.015 · Cited by 195
Preventing cold-related morbidity and mortality in a changing climate
Conlon, K. C., Rajkovich, N. B., White-Newsome, J. L., Larsen, L., & O’Neill, M. S. (2011) · Maturitas · doi:10.1016/j.maturitas.2011.04.004 · Cited by 179
Dimitrova, A., Ingole, V., Basagaña, X., Ranzani, O., Milà, C., Ballester, J., & Tonne, C. (2021) · Environment International · doi:10.1016/j.envint.2020.106170 · Cited by 164
Gronlund, C. J., Sullivan, K. P., Kefelegn, Y., Cameron, L., & O’Neill, M. S. (2018) · Maturitas · doi:10.1016/j.maturitas.2018.06.002 · Cited by 141
Extreme temperatures and emergency department admissions for childhood asthma in Brisbane, Australia
Xu, Z., Huang, C., Hu, W., Turner, L. R., Su, H., & Tong, S. (2013) · Occupational and Environmental Medicine · doi:10.1136/oemed-2013-101538 · Cited by 129
Ozone, heat and mortality: acute effects in 15 British conurbations
Pattenden, S., Armstrong, B., Milojevic, A., Heal, M. R., Chalabi, Z., Doherty, R., Barratt, B., Kovats, R. S., & Wilkinson, P. (2010) · Occupational and Environmental Medicine · doi:10.1136/oem.2009.051714 · Cited by 108
Dong, W., Liu, Z., Liao, H., Tang, Q., & Li, X. (2015) · Climatic Change · doi:10.1007/s10584-015-1372-8 · Cited by 84
Sarofim, M. C., Saha, S., Hawkins, M. D., Mills, D. M., Hess, J., Horton, R., Kinney, P., Schwartz, J., & St. Juliana, A. (2016) · doi:10.7930/j0mg7mdx · Cited by 88
Ambient heat and sudden infant death: a case-crossover study spanning 30 years in Montreal, Canada
Auger, N., Fraser, W. D., Smargiassi, A., & Kosatsky, T. (2015) · Environmental Health Perspectives · doi:10.1289/ehp.1307960 · Cited by 80
Wang, C., Zhang, Z., Zhou, M., Zhang, L., Yin, P., Ye, W., & Chen, Y. (2017) · Science of The Total Environment · doi:10.1016/j.scitotenv.2017.01.218 · Cited by 80
Ozone and daily mortality rate in 21 cities of East Asia: how does season modify the association?
Chen, R., Cai, J., Meng, X., Kim, H., Honda, Y., Guo, Y. L., Samoli, E., Yang, X., & Kan, H. (2014) · American Journal of Epidemiology · doi:10.1093/aje/kwu183 · Cited by 77
Lo, Y. T. E., Mitchell, D. M., Gasparrini, A., Vicedo-Cabrera, A. M., Ebi, K. L., Frumhoff, P. C., Millar, R. J., Roberts, W., Sera, F., Sparrow, S., et al. (2019) · Science Advances · doi:10.1126/sciadv.aau4373 · Cited by 70
The impact of heat waves on mortality in Northwest India
Nori-Sarma, A., Anderson, G. B., Rajiva, A., ShahAzhar, G., Gupta, P., Pednekar, M. S., Son, J.-Y., Peng, R. D., & Bell, M. L. (2019) · Environmental Research · doi:10.1016/j.envres.2019.108546 · Cited by 70
Self-citationImpact of temperature on childhood pneumonia estimated from satellite remote sensing
Xu, Z., Liu, Y., Ma, Z., Li, S., Hu, W., & Tong, S. (2014) · Environmental Research · doi:10.1016/j.envres.2014.04.021 · Cited by 58
Extreme Heat Vulnerability of Subsidized Housing Residents in California
Gabbe, C. J., & Pierce, G. (2020) · Housing Policy Debate · doi:10.1080/10511482.2020.1768574 · Cited by 53
Nori-Sarma, A., Benmarhnia, T., Rajiva, A., Azhar, G. S., Gupta, P., Pednekar, M. S., & Bell, M. L. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16122089 · Cited by 47
Self-citationPotential Impacts of Extreme Heat and Bushfires on Dementia
Farugia, T. L., Cuni-Lopez, C., & White, A. R. (2021) · Journal of Alzheimer’s Disease · doi:10.3233/jad-201388 · Cited by 29
NPCC4: Climate change and New York City's health risk
Matte, T., Lane, K., Tipaldo, J. F., Barnes, J., Knowlton, K., Torem, E., Anand, G., Yoon, L., Marcotullio, P., Balk, D., et al. (2024) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.15115 · Cited by 29
Houghton, A., & Castillo-Salgado, C. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16040663 · Cited by 26
Heat waves: a hot topic in climate change research
Marx, W., Haunschild, R., & Bornmann, L. (2021) · Theoretical and Applied Climatology · doi:10.1007/s00704-021-03758-y · Cited by 1
Metadata
- Authors
- Anderson, B. G., & Bell, M. L.
- Venue
- Epidemiology
- Published
- 2009-03
- Volume
- 20
- Issue
- 2
- Pages
- 205-213
- ISSN
- 1044-3983 (ISSN-L)
- OpenAlex
- W1987925218
- Cited by
- 1,229
- References
- 1
- FWCI
- 25.27
- Type
- journal article
- Language
- en
- Open access
- green
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