呼吸門診冬季疾病結(jié)構(gòu)與空氣質(zhì)量和溫度的相關(guān)性分析
發(fā)布時間:2018-01-28 01:11
本文關(guān)鍵詞: 呼吸系統(tǒng) 疾病 癥狀 空氣質(zhì)量 空氣溫度 出處:《中國呼吸與危重監(jiān)護雜志》2015年02期 論文類型:期刊論文
【摘要】:目的了解冬季呼吸系統(tǒng)疾病門診患者就診的主要臨床癥狀、初步診斷與空氣質(zhì)量和溫度的相關(guān)性。方法調(diào)查2012年11月1日至2013年2月28日本院呼吸科門診患者記錄資料;在當(dāng)?shù)丨h(huán)境保護和氣象部門分別調(diào)查同期空氣質(zhì)量和天氣狀況資料。分析該時間段呼吸系統(tǒng)疾病門診患者就診例次數(shù)、主要呼吸系統(tǒng)癥狀、門診初步診斷疾病病種、空氣污染指數(shù)(API)、氣溫變化。將API和氣溫與呼吸科門診患者例次數(shù)、主要癥狀和疾病診斷進行相關(guān)分析。結(jié)果 API與當(dāng)日、滯后1 d和3 d的就診例次數(shù)均存在正相關(guān),pearson相關(guān)系數(shù)分別為0.725、0.331和0.257(P0.01)。其中,API與滯后1天和3天的就診例次數(shù)的相關(guān)系數(shù)低于API與當(dāng)日就診例次數(shù)的相關(guān)系數(shù)。API值分段分析,平均日就診例次數(shù)每一級依次遞增21.4%、42.6%和50.4%,癥狀和診斷病例數(shù)也有不同程度遞增。API與咳痰、氣喘存在正相關(guān),pearson相關(guān)系數(shù)分別為0.287和0.277(P0.01)。API與上呼吸道感染、支氣管炎、支氣管哮喘和肺炎存在正相關(guān),pearson相關(guān)系數(shù)分別為0.184、0.251、0.301和0.227(P0.05)。氣溫在-3℃~15℃之間平均日就診例次數(shù)基本穩(wěn)定,而-4℃~-3℃時平均日就診例次數(shù)增加34.5%,-5℃~-4℃時平均日就診例次數(shù)再增加9.3%。對氣溫較敏感的癥狀是咳嗽,-4℃~-3℃時例次數(shù)增加35.7%,-5℃~-4℃時例次數(shù)再增加14.0%。氣溫與鼻竇炎、支氣管哮喘和咳痰存在負相關(guān),pearson相關(guān)系數(shù)分別為-0.194、-0.383和-0.191(P0.05)。結(jié)論冬季呼吸門診患者就診例次數(shù)隨著API增加而增多,呼吸系統(tǒng)疾病和癥狀與空氣質(zhì)量和溫度密切相關(guān)。
[Abstract]:Objective to investigate the main clinical symptoms of outpatients with respiratory diseases in winter. Methods from November 1st 2012 to February 2013, the data of respiratory outpatients were investigated. The data of air quality and weather condition in the same period were investigated in the local environmental protection and meteorological department. The number of outpatient visits and the main respiratory symptoms were analyzed in this period. Primary diagnosis of diseases, air pollution index (API), temperature change. API and temperature were compared with the number of outpatients in respiratory department. Results the positive correlation Pearson correlation coefficient was 0.725 between API and the patients who were delayed 1 d and 3 d respectively. 0.331 and 0.257 (P0.01). The correlation coefficient between API and the number of visits delayed by 1 and 3 days was lower than that between API and the number of visits on the same day. The average number of visits per day increased by 42.6% and 50.4% in turn. There was also a positive correlation between symptoms and the number of diagnosed cases. API was positively correlated with expectoration and asthma. The correlation coefficients of pearson were 0.287 and 0.277 respectively (P 0.01). There was a positive correlation between pearson and upper respiratory tract infection, bronchitis, bronchial asthma and pneumonia. The correlation coefficients of pearson were 0.184 ~ 0.251 ~ 0.301 and 0.227 ~ (-1) P _ (0.05), respectively. The average number of visits per day between 3 鈩,
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