过敏性鼻炎与气象要素变化的相关性
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四川省气象局重点实验室科技发展基金(SCQXKJZD2019004);川北医学院科研发展计划项目(CBY18AYB48);南充市科技局市校合作科研项目(19SXHZ0070)


Ccorrelation between allergic rhinitis and changes of meteorological factors
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    摘要:

    【摘要】目的 研究过敏性鼻炎与气象要素变化的相关性。 方法 纳入川北医学院附属医院和南充市中心医院2016年6月~2019年5月诊治的过敏性鼻炎患者79948例与南充市气象局同期气象和环境监测资料进行统计和分析,采用非参数检验判别病例数据在不同季节是否有明显差异。根据冷空气的定义,选取日均气温、日均相对湿度、日照时数、日均温变温、日均压变压、日均湿变湿、日均能见度、日均PM10浓度、日降雨量、日极大风力等10类气象要素,将病例资料数据和气象要素分为冷空气组和无冷空气组,分别进行对比分析,并用逐步回归方法分时段建立病例数据方程。 结果 不同季节过敏性鼻炎日均发病人数中,春季和冬季的差异不明显(P>005),夏季和秋季的差异不明显(P>005),夏季和春、冬季及冬季和夏、秋季的病例均有明显差异(P<005)。有冷空气与无冷空气时,春、冬季及四季总体过敏性鼻炎日均发病人数差异明显(P<005),而夏、秋季不明显(P>005)。有无冷空气过程10类气象要素对过敏性鼻炎发病影响均有明显差异(P<005)。利用逐步回归方法建立了过敏性鼻炎逐日发病人数的气象方程,无冷空气影响时,方程的检验效果尚可(624%),冷空气影响时,方程的检验效果较理想(880%)。 结论 夏季和冬、春季及冬季和夏、秋季过敏性鼻炎日均发病人数均各存在明显差异;冷空气以及气象要素的突变对过敏性鼻炎发病人数均有显著影响,通过气象要素变化可预测过敏性鼻炎的发病趋势,对防治过敏性鼻炎具有重要的临床意义。

    Abstract:

    【Abstract】Objective To study the correlation between allergic rhinitis and meteorological factors. Methods The data of 79,948 patients with allergic rhinitis diagnosed and treated in two large comprehensive Third grade A hospitals in Nanchong city from June 2016 to May 2019 were collected and analyzed together with the meteorological and environmental monitoring data of Nanchong Meteorological Bureau during the same period. The nonparametric tests were used to determine whether there were significant differences in the case data in different seasons. According to the definition of cold air, the daily average air temperature, daily average relative humidity, sunshine duration, variation of the daily average air temperature and the daily average air temperature of the previous day, variation of the daily average pressure and the daily average pressure of the previous day, variation of the daily average relative humidity and the daily average relative humidity of the previous day, daily average PM10 concentration, daily rainfall, and daily maximum wind force were selected for 10 meteorological elements. The case data and meteorological elements were divided into cold air group and noncold air group for comparative analysis, and the case data equation was established by stepwise regression method. Results Among the average daily incidence of allergic rhinitis in different seasons, the difference between spring and winter was not significant(P>005), the difference between summer and autumn was not significant(P>005), there were significant differences between summer and spring or winter, winter and summer or autumn (P<005). With and without cold air, the average daily incidence of allergic rhinitis in spring, winter and four seasons was significantly different(P<005), but not in summer and autumn(P>005). There were significant differences in the influence of 10 meteorological factors on allergic rhinitis(P<005). Stepwise regression method was used to establish the meteorological equation of the daily number of allergic rhinitis patients. when there was no cold air effect, the test effect of the equation was tolerableness(accounted for 624%), and when the cold air effect was relatively ideal(accounted for 880%). ConclusionThe average daily incidence of allergic rhinitis were significantly different between summer and winter or spring, winter and summer or autumn. The cold air and the mutation of meteorological elements had a significant influence on the number of allergic rhinitis patients. The change of meteorological factors can predict the incidence trend of allergic rhinitis, which has important clinical significance for the prevention and treatment of allergic rhinitis.

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  • 在线发布日期: 2021-08-16
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