Acıbadem Üniversitesi Sağlık Bilimleri Dergisi 2017 , Vol 8, Issue 2
Profiling Asthma-Cardiovascular Diseases and Air Quality Evaluation
M. Fevzi Esen1, Dilek Toprak2
1İstanbul Medeniyet Üniversitesi, Turizm İşletmeciliği Bölümü, İstanbul, Türkiye
2Şişli Hamidiye Etfal Eğitim ve Araştırma Hastanesi, Aile Hekimliği, İstanbul, Türkiye
Objective: The aim of this study is to evaluate the importance of socio-demographic risk factors such as age, gender, residence, insurance status and season that are significant for asthma-cardiovascular disease diagnoses.

Material and Methods: In this study, we analyzed 47981 different patients' data who had been diagnosed by clinics in both the cardiology and respiratory departments of a public hospital, in the province of Konya, between the years of 2008 – 2010 and asthma – cardiovascular diseases' diagnoses were profiled by logistic regression. Seasonal patterns and odds ratios were considered together with two facts: Turkish Statistical Institute Air Quality Reports, that showing short term toxicity of particular materials (PM10) in the air, and first step early warning threshold values of Konya province, were observed to be over the threshold between the observed dates. Cardiovascular diseases were second by 17,23 % as per diagnosis in Konya province as reported by the Ministry of Health.

Results: The results demonstrated that the parameters of logistic models of asthma and cardiovascular diseases were statistically significant (p<0,01). Gender, age, residence and season were all found as important variables within both the logistic models of asthma and cardiovascular diseases. Odds of asthma was greater in the months of Spring in which PM10 was over the first step early warning threshold value. The odds of cardiovascular diseases was minimal during Winter and Spring. The odds ratio was at maximum during Summer and through September.

Conclusion: The risks of asthma and cardiovascular diseases that are related to season, age, gender and residence must be understood by health personnel and patients. The preventive or morbidity risk reducing precautions must be taken for this. Keywords : asthma, cardiovascular diseases, air pollution, logistic regression