The association between weather conditions and stroke admissions in Turkey

Although several factors such as cigarette smoking, blood pressure, diabetes, obesity, hypercholesterolemia, physical inactivity and dietary factors have been well documented to increase the risk for stroke, there are conflicting data about the role of meteorological variables in the etiology of str...

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Veröffentlicht in:International journal of biometeorology 2015-07, Vol.59 (7), p.899-905
Hauptverfasser: Çevik, Yunsur, Doğan, Nurettin Özgür, Daş, Murat, Ahmedali, Asliddin, Kul, Seval, Bayram, Hasan
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container_end_page 905
container_issue 7
container_start_page 899
container_title International journal of biometeorology
container_volume 59
creator Çevik, Yunsur
Doğan, Nurettin Özgür
Daş, Murat
Ahmedali, Asliddin
Kul, Seval
Bayram, Hasan
description Although several factors such as cigarette smoking, blood pressure, diabetes, obesity, hypercholesterolemia, physical inactivity and dietary factors have been well documented to increase the risk for stroke, there are conflicting data about the role of meteorological variables in the etiology of stroke. We conducted a retrospective study to investigate the association between weather patterns, including daily temperature, humidity, wind speed, and air pressure, and stroke admissions to the Emergency Department of Atatürk Training and Research Hospital in Ankara, Turkey, between January 2009 and April 2010. Generalized additive models with logistic link function were used to investigate the relationship between predictors and days with and without stroke admission at lags 0–4. A total of 373 stroke patients were admitted to the emergency department (ED) between January 2009 and April 2010. Of patients, 297 had ischemic stroke (IS), 34 hemorrhagic stroke (HS), and 42 subarachnoidal hemorrhage (SAH). Although we did not find any association between overall admissions due to stroke and meteorological parameters, univariable analysis indicated that there were significantly more SAH cases on days with lower daily mean temperatures of 8.79 ± 8.75 °C as compared to relatively mild days with higher temperatures (mean temperature = 11.89 ± 7.94 °C, p  = 0.021). The multivariable analysis demonstrated that admissions due to SAH increased on days with lower daily mean temperatures for the same day (lag 0; odds ratio (OR) [95 % confidence interval (95 % CI)] = 0.93 [0.89–0.98], p  = 0.004) and lag 1 (OR [95 % CI] =0.76 [0.67–0.86], p  = 0.001). Furthermore, the wind speed at both lag 1 (OR [95 % CI] = 1.63 [1.27–2.09], p  = 0.001) and lag 3 (OR [95 % CI] = 1.43 [1.12–1.81], p  = 0.004) increased admissions due to HS, respectively. In conclusion, our study demonstrated that there was an association between ED admissions due to SAH and HS and weather conditions suggesting that meteorological variables may, at least in part, play as risk factors for intracranial hemorrhages.
doi_str_mv 10.1007/s00484-014-0890-9
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Although we did not find any association between overall admissions due to stroke and meteorological parameters, univariable analysis indicated that there were significantly more SAH cases on days with lower daily mean temperatures of 8.79 ± 8.75 °C as compared to relatively mild days with higher temperatures (mean temperature = 11.89 ± 7.94 °C, p  = 0.021). The multivariable analysis demonstrated that admissions due to SAH increased on days with lower daily mean temperatures for the same day (lag 0; odds ratio (OR) [95 % confidence interval (95 % CI)] = 0.93 [0.89–0.98], p  = 0.004) and lag 1 (OR [95 % CI] =0.76 [0.67–0.86], p  = 0.001). Furthermore, the wind speed at both lag 1 (OR [95 % CI] = 1.63 [1.27–2.09], p  = 0.001) and lag 3 (OR [95 % CI] = 1.43 [1.12–1.81], p  = 0.004) increased admissions due to HS, respectively. 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We conducted a retrospective study to investigate the association between weather patterns, including daily temperature, humidity, wind speed, and air pressure, and stroke admissions to the Emergency Department of Atatürk Training and Research Hospital in Ankara, Turkey, between January 2009 and April 2010. Generalized additive models with logistic link function were used to investigate the relationship between predictors and days with and without stroke admission at lags 0–4. A total of 373 stroke patients were admitted to the emergency department (ED) between January 2009 and April 2010. Of patients, 297 had ischemic stroke (IS), 34 hemorrhagic stroke (HS), and 42 subarachnoidal hemorrhage (SAH). Although we did not find any association between overall admissions due to stroke and meteorological parameters, univariable analysis indicated that there were significantly more SAH cases on days with lower daily mean temperatures of 8.79 ± 8.75 °C as compared to relatively mild days with higher temperatures (mean temperature = 11.89 ± 7.94 °C, p  = 0.021). The multivariable analysis demonstrated that admissions due to SAH increased on days with lower daily mean temperatures for the same day (lag 0; odds ratio (OR) [95 % confidence interval (95 % CI)] = 0.93 [0.89–0.98], p  = 0.004) and lag 1 (OR [95 % CI] =0.76 [0.67–0.86], p  = 0.001). Furthermore, the wind speed at both lag 1 (OR [95 % CI] = 1.63 [1.27–2.09], p  = 0.001) and lag 3 (OR [95 % CI] = 1.43 [1.12–1.81], p  = 0.004) increased admissions due to HS, respectively. 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We conducted a retrospective study to investigate the association between weather patterns, including daily temperature, humidity, wind speed, and air pressure, and stroke admissions to the Emergency Department of Atatürk Training and Research Hospital in Ankara, Turkey, between January 2009 and April 2010. Generalized additive models with logistic link function were used to investigate the relationship between predictors and days with and without stroke admission at lags 0–4. A total of 373 stroke patients were admitted to the emergency department (ED) between January 2009 and April 2010. Of patients, 297 had ischemic stroke (IS), 34 hemorrhagic stroke (HS), and 42 subarachnoidal hemorrhage (SAH). Although we did not find any association between overall admissions due to stroke and meteorological parameters, univariable analysis indicated that there were significantly more SAH cases on days with lower daily mean temperatures of 8.79 ± 8.75 °C as compared to relatively mild days with higher temperatures (mean temperature = 11.89 ± 7.94 °C, p  = 0.021). The multivariable analysis demonstrated that admissions due to SAH increased on days with lower daily mean temperatures for the same day (lag 0; odds ratio (OR) [95 % confidence interval (95 % CI)] = 0.93 [0.89–0.98], p  = 0.004) and lag 1 (OR [95 % CI] =0.76 [0.67–0.86], p  = 0.001). Furthermore, the wind speed at both lag 1 (OR [95 % CI] = 1.63 [1.27–2.09], p  = 0.001) and lag 3 (OR [95 % CI] = 1.43 [1.12–1.81], p  = 0.004) increased admissions due to HS, respectively. In conclusion, our study demonstrated that there was an association between ED admissions due to SAH and HS and weather conditions suggesting that meteorological variables may, at least in part, play as risk factors for intracranial hemorrhages.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>25145443</pmid><doi>10.1007/s00484-014-0890-9</doi><tpages>7</tpages></addata></record>
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subjects Adult
Aged
Aged, 80 and over
Animal Physiology
Biological and Medical Physics
Biophysics
Blood pressure
Cities - epidemiology
Earth and Environmental Science
Emergency Service, Hospital - statistics & numerical data
Environment
Environmental Health
Female
High temperature
Humans
Male
Meteorology
Middle Aged
Odds Ratio
Original Paper
Plant Physiology
Risk factors
Stroke
Stroke - epidemiology
Turkey - epidemiology
Weather
Weather patterns
Wind speed
title The association between weather conditions and stroke admissions in Turkey
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