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Extreme Temperatures and Mortality: Assessing Effect Modification by Personal Characteristics and Specific Cause of Death in a Multi-City Case-Only Analysis
Background: Extremes of temperature are associated with short-term increases in daily mortality. Objectives: We set out to identify subpopulations and mortality causes with increased susceptibility to temperature extremes. Methods: We conducted a case-only analysis using daily mortality and hourly w...
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Published in: | Environmental health perspectives 2006-09, Vol.114 (9), p.1331-1336 |
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description | Background: Extremes of temperature are associated with short-term increases in daily mortality. Objectives: We set out to identify subpopulations and mortality causes with increased susceptibility to temperature extremes. Methods: We conducted a case-only analysis using daily mortality and hourly weather data from 50 U.S. cities for the period 1989-2000, covering a total of 7,789,655 deaths. We used distributions of daily minimum and maximum temperature in each city to define extremely hot days (≥ 99th percentile) and extremely cold days (≤ 1st percentile), respectively. For each (hypothesized) effect modifier, a city-specific logistic regression model was fitted and an overall estimate calculated in a subsequent meta-analysis. Results: Older subjects [odds ratio (OR) = 1.020; 95% confidence interval (CI), 1.005-1.034], diabetics (OR = 1.035; 95% CI, 1.010-1.062), blacks (OR = 1.037; 95% CI, 1.016-1.059), and those dying outside a hospital (OR = 1.066; 95% CI, 1.036-1.098) were more susceptible to extreme heat, with some differences observed between those dying from a cardiovascular disease and other decedents. Cardiovascular deaths (OR = 1.053; 95% CI, 1.036-1.070), and especially cardiac arrest deaths (OR =1.137; 95% CI, 1.051-1.230), showed a greater relative increase on extremely cold days, whereas the increase in heat-related mortality was marginally higher for those with coexisting atrial fibrillation (OR = 1.059; 95% CI, 0.996-1.125). Conclusions: In this study we identified several subpopulations and mortality causes particularly susceptible to temperature extremes. This knowledge may contribute to establishing health programs that would better protect the vulnerable. |
doi_str_mv | 10.1289/ehp.9074 |
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Objectives: We set out to identify subpopulations and mortality causes with increased susceptibility to temperature extremes. Methods: We conducted a case-only analysis using daily mortality and hourly weather data from 50 U.S. cities for the period 1989-2000, covering a total of 7,789,655 deaths. We used distributions of daily minimum and maximum temperature in each city to define extremely hot days (≥ 99th percentile) and extremely cold days (≤ 1st percentile), respectively. For each (hypothesized) effect modifier, a city-specific logistic regression model was fitted and an overall estimate calculated in a subsequent meta-analysis. Results: Older subjects [odds ratio (OR) = 1.020; 95% confidence interval (CI), 1.005-1.034], diabetics (OR = 1.035; 95% CI, 1.010-1.062), blacks (OR = 1.037; 95% CI, 1.016-1.059), and those dying outside a hospital (OR = 1.066; 95% CI, 1.036-1.098) were more susceptible to extreme heat, with some differences observed between those dying from a cardiovascular disease and other decedents. Cardiovascular deaths (OR = 1.053; 95% CI, 1.036-1.070), and especially cardiac arrest deaths (OR =1.137; 95% CI, 1.051-1.230), showed a greater relative increase on extremely cold days, whereas the increase in heat-related mortality was marginally higher for those with coexisting atrial fibrillation (OR = 1.059; 95% CI, 0.996-1.125). Conclusions: In this study we identified several subpopulations and mortality causes particularly susceptible to temperature extremes. This knowledge may contribute to establishing health programs that would better protect the vulnerable.</description><identifier>ISSN: 0091-6765</identifier><identifier>EISSN: 1552-9924</identifier><identifier>DOI: 10.1289/ehp.9074</identifier><identifier>PMID: 16966084</identifier><language>eng</language><publisher>United States: National Institute of Environmental Health Sciences. National Institutes of Health. Department of Health, Education and Welfare</publisher><subject>Adolescent ; Adult ; Aged ; Analysis ; Atrial fibrillation ; Cardiovascular diseases ; Causes of death ; Child ; Child, Preschool ; Cities - epidemiology ; Death ; Demography ; Diabetes ; Educational Status ; Environmental Exposure - adverse effects ; Environmental Exposure - history ; Environmental Exposure - statistics & numerical data ; Epidemiology ; Health aspects ; Health Status ; Heat ; History, 20th Century ; Hot Temperature - adverse effects ; Humans ; Infant ; Infant, Newborn ; International Statistical Classification of Diseases ; Life Style ; Middle Aged ; Mortality ; Mortality - trends ; Operating rooms ; Risk Factors ; United States</subject><ispartof>Environmental health perspectives, 2006-09, Vol.114 (9), p.1331-1336</ispartof><rights>COPYRIGHT 2006 National Institute of Environmental Health Sciences</rights><rights>Copyright National Institute of Environmental Health Sciences Sep 2006</rights><rights>2006</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c753t-2c9291fecce48ed08bc4179b9a1a7d710527ecdec0f56e72f89f49cc79da24813</citedby><cites>FETCH-LOGICAL-c753t-2c9291fecce48ed08bc4179b9a1a7d710527ecdec0f56e72f89f49cc79da24813</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/3700388$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/3700388$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793,58238,58471</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/16966084$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Medina-Ramón, Mercedes</creatorcontrib><creatorcontrib>Zanobetti, Antonella</creatorcontrib><creatorcontrib>Cavanagh, David Paul</creatorcontrib><creatorcontrib>Schwartz, Joel</creatorcontrib><title>Extreme Temperatures and Mortality: Assessing Effect Modification by Personal Characteristics and Specific Cause of Death in a Multi-City Case-Only Analysis</title><title>Environmental health perspectives</title><addtitle>Environ Health Perspect</addtitle><description>Background: Extremes of temperature are associated with short-term increases in daily mortality. Objectives: We set out to identify subpopulations and mortality causes with increased susceptibility to temperature extremes. Methods: We conducted a case-only analysis using daily mortality and hourly weather data from 50 U.S. cities for the period 1989-2000, covering a total of 7,789,655 deaths. We used distributions of daily minimum and maximum temperature in each city to define extremely hot days (≥ 99th percentile) and extremely cold days (≤ 1st percentile), respectively. For each (hypothesized) effect modifier, a city-specific logistic regression model was fitted and an overall estimate calculated in a subsequent meta-analysis. Results: Older subjects [odds ratio (OR) = 1.020; 95% confidence interval (CI), 1.005-1.034], diabetics (OR = 1.035; 95% CI, 1.010-1.062), blacks (OR = 1.037; 95% CI, 1.016-1.059), and those dying outside a hospital (OR = 1.066; 95% CI, 1.036-1.098) were more susceptible to extreme heat, with some differences observed between those dying from a cardiovascular disease and other decedents. Cardiovascular deaths (OR = 1.053; 95% CI, 1.036-1.070), and especially cardiac arrest deaths (OR =1.137; 95% CI, 1.051-1.230), showed a greater relative increase on extremely cold days, whereas the increase in heat-related mortality was marginally higher for those with coexisting atrial fibrillation (OR = 1.059; 95% CI, 0.996-1.125). Conclusions: In this study we identified several subpopulations and mortality causes particularly susceptible to temperature extremes. This knowledge may contribute to establishing health programs that would better protect the vulnerable.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Analysis</subject><subject>Atrial fibrillation</subject><subject>Cardiovascular diseases</subject><subject>Causes of death</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Cities - epidemiology</subject><subject>Death</subject><subject>Demography</subject><subject>Diabetes</subject><subject>Educational Status</subject><subject>Environmental Exposure - adverse effects</subject><subject>Environmental Exposure - history</subject><subject>Environmental Exposure - statistics & numerical data</subject><subject>Epidemiology</subject><subject>Health aspects</subject><subject>Health Status</subject><subject>Heat</subject><subject>History, 20th Century</subject><subject>Hot Temperature - adverse effects</subject><subject>Humans</subject><subject>Infant</subject><subject>Infant, Newborn</subject><subject>International Statistical Classification of Diseases</subject><subject>Life Style</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Mortality - trends</subject><subject>Operating rooms</subject><subject>Risk Factors</subject><subject>United States</subject><issn>0091-6765</issn><issn>1552-9924</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><recordid>eNqN09Fu0zAUBuAIgVgZSDwAQhYXE1yk2E5ix7tAqkqBSZuK2OA2cp2TxlNiF9tB67vwsDhqNVY0acgXkXI-_05ycpLkJcFTQkvxHtrNVGCeP0ompChoKgTNHycTjAVJGWfFUfLM-2uMMSkZe5ocESYYw2U-SX4vboKDHtAV9BtwMgwOPJKmRhfWBdnpsD1FM-_Be23WaNE0oEKs1brRSgZtDVpt0Vdw3hrZoXkrnVQBnPZBq13Q5QbUqNFcDh6QbdBHkKFF2iCJLoYu6HQej4llD-nSdFs0i1Fbr_3z5EkjOw8v9tfj5PunxdX8S3q-_Hw2n52nihdZSKkSVJD4YAryEmpcrlROuFgJSSSvOcEF5aBqULgpGHDalKLJhVJc1JLmJcmOkw-73M2w6qFWYIKTXbVxupduW1mpq8OK0W21tr8qUnCMizwGnOwDnP05gA9Vr72CrpMG7OCrjGVZLhh-EFJCCpGV_EFIRJGPK8I3_8BrO7j4AWMYpYzkmI9p6Q6tZQeVNo2Nr6HWYGLHO2ug0fH2jDBcFKWgNPrpPT6uGnqt7t3w7mBDNAFuwjp23Fdnl9_-3y5_HNqTO7YF2YXW224Yfzx_CN_uoHLWewfNbfcIrsYZqeKMVOOMRPr6brf_wv1QRPBqB659sO62nsVeZ2WZ_QFohRVB</recordid><startdate>20060901</startdate><enddate>20060901</enddate><creator>Medina-Ramón, Mercedes</creator><creator>Zanobetti, Antonella</creator><creator>Cavanagh, David Paul</creator><creator>Schwartz, Joel</creator><general>National Institute of Environmental Health Sciences. 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Personal Characteristics and Specific Cause of Death in a Multi-City Case-Only Analysis</atitle><jtitle>Environmental health perspectives</jtitle><addtitle>Environ Health Perspect</addtitle><date>2006-09-01</date><risdate>2006</risdate><volume>114</volume><issue>9</issue><spage>1331</spage><epage>1336</epage><pages>1331-1336</pages><issn>0091-6765</issn><eissn>1552-9924</eissn><abstract>Background: Extremes of temperature are associated with short-term increases in daily mortality. Objectives: We set out to identify subpopulations and mortality causes with increased susceptibility to temperature extremes. Methods: We conducted a case-only analysis using daily mortality and hourly weather data from 50 U.S. cities for the period 1989-2000, covering a total of 7,789,655 deaths. We used distributions of daily minimum and maximum temperature in each city to define extremely hot days (≥ 99th percentile) and extremely cold days (≤ 1st percentile), respectively. For each (hypothesized) effect modifier, a city-specific logistic regression model was fitted and an overall estimate calculated in a subsequent meta-analysis. Results: Older subjects [odds ratio (OR) = 1.020; 95% confidence interval (CI), 1.005-1.034], diabetics (OR = 1.035; 95% CI, 1.010-1.062), blacks (OR = 1.037; 95% CI, 1.016-1.059), and those dying outside a hospital (OR = 1.066; 95% CI, 1.036-1.098) were more susceptible to extreme heat, with some differences observed between those dying from a cardiovascular disease and other decedents. Cardiovascular deaths (OR = 1.053; 95% CI, 1.036-1.070), and especially cardiac arrest deaths (OR =1.137; 95% CI, 1.051-1.230), showed a greater relative increase on extremely cold days, whereas the increase in heat-related mortality was marginally higher for those with coexisting atrial fibrillation (OR = 1.059; 95% CI, 0.996-1.125). Conclusions: In this study we identified several subpopulations and mortality causes particularly susceptible to temperature extremes. This knowledge may contribute to establishing health programs that would better protect the vulnerable.</abstract><cop>United States</cop><pub>National Institute of Environmental Health Sciences. National Institutes of Health. Department of Health, Education and Welfare</pub><pmid>16966084</pmid><doi>10.1289/ehp.9074</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Adult Aged Analysis Atrial fibrillation Cardiovascular diseases Causes of death Child Child, Preschool Cities - epidemiology Death Demography Diabetes Educational Status Environmental Exposure - adverse effects Environmental Exposure - history Environmental Exposure - statistics & numerical data Epidemiology Health aspects Health Status Heat History, 20th Century Hot Temperature - adverse effects Humans Infant Infant, Newborn International Statistical Classification of Diseases Life Style Middle Aged Mortality Mortality - trends Operating rooms Risk Factors United States |
title | Extreme Temperatures and Mortality: Assessing Effect Modification by Personal Characteristics and Specific Cause of Death in a Multi-City Case-Only Analysis |
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