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Assessing the heat and cold effect of temperature on hospitaiization and outpatient by allergic rhinitis in Seoul, Korea

机译:评估韩国首尔过敏性鼻炎对住院和门诊患者温度的冷热影响

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Background Many studies have investigated the association between the air pollutants and allergic disease with adjusting the temperature effect as confounding factor. The researches assessing the temperature effect on allergic disease are relatively small. The prevalence of allergic rhinitis (AR) in Korea is 14.5%, and it has been increasing steadily. AIMS In this study, we assess the lag effect of temperature on hospitalization or outpatient by AR at different sex or age group in Seoul, Korea. Also, we estimate both the heat and cold effect on AR. METHODS The distributed lag non-linear model was used to examine the lag effect of temperature on daily hospitalization or outpatient by AR. And then generalized additive model was used to estimate the cumulative relative risk (RR) for heat and cold effect of temperature, adjusting air pollutants, humidity, day of week, influenza epidemic, and long-term trend. RESULTS The lag effects of cold and heat temperature in total subject were estimated up to 21 days and on the day of hospitalization, and up to 12 days and on the day of visit in outpatient. The estimated RR for cold and heat effect in total subjects are 1.07(95%CI=1.01,1.33) and 1.33(95%CI=1.17,1.50) for hospitalization, and 0.88(95%CI=0.84,0.93) and 1.02(95%CI=0.93,1.11) for outpatient. The estimated lag effects of temperature by sex or age group were differed from estimated total subject. In addition, the results from estimated RRs for each age groups showed that the adolescent group (13≤age≤18) was most greatly influenced by heat (1.38(95%CI=1.13,1.68)) and cold (2.44(95%CI=1.72,3.46)) temperature in hospitalization by AR. Adjustment of the air pollutants by each or altogether, the estimated RRs do not show significant difference. CONCLUSIONS We found that there were different lag structures by sex or age group on AR. After considering the lag structure for each sex or age group, the result showed that the adolescents were most influenced by temperature on hospitalization by AR. Further investigation is needed in order to confirm these results.
机译:背景技术许多研究都以调节温度效应为混杂因素,研究了空气污染物与过敏性疾病之间的关系。评估温度对过敏性疾病影响的研究相对较少。在韩国,过敏性鼻炎(AR)的患病率为14.5%,并且一直在稳定增长。目的在这项研究中,我们评估了韩国首尔不同性别或年龄组的温度对住院或门诊患者的滞后效应。此外,我们估计了AR的热效应和冷效应。方法采用分布滞后非线性模型研究AR对日常住院或门诊患者温度滞后的影响。然后使用广义加性模型估算温度的热和冷效应的累积相对风险(RR),调整空气污染物,湿度,星期几,流行性感冒和长期趋势。结果估计在整个住院日和住院日中最多21天,在门诊就诊日最多12天时冷热温度对总受试者的滞后效应。全部受试者的冷热效应估计住院率分别为1.07(95%CI = 1.01,1.33)和1.33(95%CI = 1.17,1.50),以及0.88(95%CI = 0.84,0.93)和1.02( 95%CI = 0.93,1.11)。按性别或年龄组估计的温度滞后效应与估计的总受试者不同。此外,每个年龄组的估计RR的结果显示,青少年组(13≤年龄≤18)受热(1.38(95%CI = 1.13,1.68))和寒冷(2.44(95%CI)的影响最大。 = 1.72,3.46))AR住院期间的体温。通过对每种污染物或全部污染物进行调整,估计的RR并没有显示出显着差异。结论我们发现,按性别或年龄组,AR存在不同的滞后结构。在考虑每个性别或年龄组的滞后结构后,结果表明,青少年在AR住院治疗中受温度影响最大。为了确认这些结果,需要进一步的研究。

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