تاثیر عناصر اقلیمی و آلایندههای شهر سنندج بر روی مرگ و میر ناشی از بیماری های قلبی و تنفسی
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/کاوه محمدپور
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: علوم انسانی
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۱۵۷ ص
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واژه نامه بصورت زیرنویس
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کتابنامه ص.:۱۵۰-۱۵۹
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جغرافیای طبیعی گرایش اقلیم شناسی
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۱۳۸۹/۰۶/۳۱
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مقدمه :اقلیم پزشکی به عنوان یک شاخه علمی غالبا جنبه های زمانی مکانی فرایندصهای سلامت و ویژگیصهای آن را بیان میصکند و پخش اپیدمیک، یک نمونه بیماری جمعی یا یک شبکه تندرستی را در بر میصگیرد ..در سالهای اخیر، در مناطق مختلف جهان نوسان-های اتمسفری گوناگون در زندگی روزانه انسان تاثیرگذار بوده است .در مقیاس جهانی میزان مرگصومیر و مراجعهصکنندهصهای مختلف پیش بینی شده برای سناریوهای تغییرات آب و هوایی آینده، افزایش هر دو پدیده) مرگصومیر و مراجعهصکننده (را در ارتباط با موجصهای گرما، دماهای بالا، غلظتصهای بالای آلایندهصهای جوی و شرایط آب و هوایی را بیان میصکند.روش کار :پژوهش حاضر به مطالعه و ارزیابی تاثیر عناصر اقلیمی و آلایندهصهای هوا بر مرگ و میر سکته قلبی و ورودیصهای بیماری آسم شهر سنندج با استفاده از روشصهای تحلیل آماری توصیفی و استنباطی پرداخته است .جمعیت مورد بررسی، تعداد مرگ و میر سکته قلبی۲۰۰۸) - (۲۰۰۴و مراجعه کننده آسم۲۰۰۸) - (۲۰۰۱به بیمارستانصهای شهر سنندج بوده است .آمارهای مربوط به آلودگی از سازمان محیط زیست) سال ۲۰۰۸) و آمارهای مربوط به عناصر اقلیمی۲۰۰۸) - (۲۰۰۱از سازمان هواشناسی شهر سنندج تهیه گردیده است
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Introduction: Medical climatology as a scientific discipline frequently addresses space-time aspects of health processes and their attributes. These organized systems may involve, for example, diffusion of an epidemy, a population disease pattern, or a healthcare network. In recent years, studies conducted across different regions of the world have addressed the influence of adverse atmospheric variations in the daily lives of human beings. At global scale, the different mortality and hospital admissions rates predicted for future climate change scenarios suggest an increase both in phenomena (mortality and hospital admissions), related to heat waves, temperature extremes, episodes of high concentrations of atmospheric pollutants, and stressful weather conditions. Methodology: The aim of recent study is to evaluate the possible effects of weather conditions on hospital admissions during 2001-2008 for asthma disease and mortalities during 2004-2008 for heart failure disease in Sanandaj City (Kurdestan Province) using statistical analysis methods. For the present analysis, data of pollution collected from the Department of Environment and climatology data were acquired from Meteorology Organization of Sanandaj City. Results: Spearman's method: Most elements of weather such as temperature, air pressure, relative humidity and wind with the number of deaths resulting from heart failure disease have a significant correlation in the months of February and March. Among the pollutants studied, pollution by nitrogen oxides and dust and mist or atmospheric aerosol show a positive relationship with death rate of heart failure disease. The relationship between climate elements and admissions of asthma appear different at any time and show fluctuations. Relationship mentioned between the relative humidity and temperature with admissions of asthma (direct and reverse) is intermittent. If so, when the effect of temperature parameters are direct, the reverse effect of humidity parameters act (years 2001 and 2002). But, when the effect of temperature on the admissions of asthma disease is negative, moisture effect has appeared to be positive (years 2003 and 2005). In different months in the number of asthma hospital admissions not follow a specific pattern. In all months of they are scattered and almost the same is seen. But the correlation has more powerful significance between asthma and each climatic element in wet months of the year. In addition, the relationship between asthma and pollutants was not significant. In logistic regression considering only the elements of climate models, each unit increase in average minimum temperature of the elements, the average maximum relative humidity and wind speed prevailing 0.16, 0.06 increase in unit and 0.202 units are reduced for heart failure mortality, respectively. Entering pollutants and climate elements combined in the model, pollutants were not effective on mortality from heart failure disease. But with each unit increase in mean minimum temperature and maximum wind speed the death rates were respectively 0.211 units and 0.360 units. After each temperature the pollutants in the region showed 0.051 units the model had more impact on mortality. Without entering pollutants in the model, the effect of average minimum relative humidity, average relative humidity, wind speed mean and dominant wind speed were 0.160, -0.141, -0.632 and 0.198 respectively. The value on the admissions of asthma has been accounted the city of Sanandaj. Entering pollutants and climate elements combined in the model, none of the elements and pollutants showed up significance with admissions from hospital asthma. MI mortality in both sexes, male and female means were estimated and mean increased with age. The relationship between both sexes and admissions with ages 0-20 and 21-40 meaning was significant. In other words, unlike heart failure disease, the rate of asthma in less than 40 years of age was almost more seen. In total, heart disease and asthma in Sanandaj, did not show significant correlation with age and sex. Conclusions: The strongest correlation between climate and the number of deaths and admissions was during the wet months of the year. The average wind speed was important climatic element with asthma in all months, except July, and in all seasons. With each unit increase in the amount of average wind speed the number of admissions will decrease to 0.632. In general, asthma in Sanandaj, was investigated to the weather elements and the first wind had shown more sensitivity. On the contrary, heart failure with both elements of climate (temperature, relative humidity, air pressure and wind speed) and pollutants (nitrogen oxides and dust) was associated and the effect of temperature on mortality MI 0.051 units was more. With increasing the average wind speed in Sanandaj, the amount of asthma admissions was decreased and increasing temperature and maximum wind speed showed minimum number of MI deaths both in positive and negative aspects respectively.