Extreme Temperatures and Mortality: Assessing Effect Modification by Personal Characteristics and Specific Cause of Death in a Multi-City Case-Only Analysis

• Published in: Environmental health perspectives Vol. 114; no. 9; pp. 1331 - 1336
• Main Authors: Medina-Ramón, Mercedes, Zanobetti, Antonella, Cavanagh, David Paul, Schwartz, Joel
• Format: Journal Article
• Language: English
• Published: United States National Institute of Environmental Health Sciences. National Institutes of Health. Department of Health, Education and Welfare 01.09.2006; National Institute of Environmental Health Sciences
• 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; Extreme heat; 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; Subpopulations; United States; United States; USA
• ISSN: 0091-6765; 1552-9924
• DOI: 10.1289/ehp.9074

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.