The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Extreme High Temperatures and Hospital Admissions for Respiratory and Cardiovascular Diseases
Abstract
BACKGROUND: Although the association of high temperatures with mortality is well-documented, the association with morbidity has seldom been examined. We assessed the potential impact of hot weather on hospital admissions due to cardiovascular and respiratory diseases in New York City. We also explored whether the weather-disease relationship varies with socio-demographic variables. METHOD: We investigated effects of temperature and humidity on health by linking the daily cardiovascular and respiratory hospitalization counts with meteorologic conditions during summer, 1991-2004. We used daily mean temperature, mean apparent temperature, and 3-day moving average of apparent temperature as the exposure indicators. Threshold effects for health risks of meteorologic conditions were assessed by log-linear threshold models, after controlling for ozone, day of week, holidays, and long-term trend. Stratified analyses were used to evaluate temperature-demographic interactions. RESULTS: For all 3 exposure indicators, each degree C above the threshold of the temperature-health effect curve (29 degrees C-36 degrees C) was associated with a 2.7%-3.1% increase in same-day hospitalizations due to respiratory diseases, and an increase of 1.4%-3.6% in lagged hospitalizations due to cardiovascular diseases. These increases for respiratory admissions were greater for Hispanic persons (6.1%/ degrees C) and the elderly (4.7%/ degrees C). At high temperatures, admission rates increased for chronic airway obstruction, asthma, ischemic heart disease, and cardiac dysrhythmias, but decreased for hypertension and heart failure. CONCLUSIONS: Extreme high temperature appears to increase hospital admissions for cardiovascular and respiratory disorders in New York City. Elderly and Hispanic residents may be particularly vulnerable to the temperature effects on respiratory illnesses.
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Cites
Generalized Additive Models: An Introduction with R
Wood, S. N. (2017) · doi:10.1201/9781315370279 · Cited by 13,852
Excess hospital admissions during the July 1995 heat wave in Chicago
Semenza, J. (1999) · American Journal of Preventive Medicine · doi:10.1016/s0749-3797(99)00025-2 · Cited by 619
Kovats, R. S., Hajat, S., & Wilkinson, P. (2004) · Occupational and Environmental Medicine · doi:10.1136/oem.2003.012047 · Cited by 416
Cited by
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
Heat 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
Humidity: a review and primer on atmospheric moisture and human health
Davis, R. E., McGregor, G. R., & Enfield, K. B. (2016) · Environmental Research · doi:10.1016/j.envres.2015.10.014 · Cited by 472
Racial and Socioeconomic Disparities in Heat-Related Health Effects and Their Mechanisms: a Review
Gronlund, C. J. (2014) · Current Epidemiology Reports · doi:10.1007/s40471-014-0014-4 · Cited by 438
Cardiovascular response to thermoregulatory challenges
Liu, C., Yavar, Z., & Sun, Q. (2015) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.00199.2015 · Cited by 363
Metadata
- Authors
- Lin, S., Luo, M., Walker, R. J., Liu, X., Hwang, S.-A., & Chinery, R.
- Venue
- Epidemiology
- Published
- 2009-09
- Volume
- 20
- Issue
- 5
- Pages
- 738-746
- ISSN
- 1044-3983 (ISSN-L)
- OpenAlex
- W2082504781
- Cited by
- 495
- References
- 3
- FWCI
- 7.60
- Type
- journal article
- Language
- en
- Open access
- closed
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- Lin, S., Luo, M., Walker, R. J., Liu, X., Hwang, S.-A., & Chinery, R. (2009). Extreme High Temperatures and Hospital Admissions for Respiratory and Cardiovascular Diseases. Epidemiology. https://doi.org/10.1097/ede.0b013e3181ad5522
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