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首页> 外文期刊>Journal of occupational health >Association between occupational clusters and allergic rhinitis in the Korean population: analysis of the Korean National Health and Nutrition Examination Survey data
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Association between occupational clusters and allergic rhinitis in the Korean population: analysis of the Korean National Health and Nutrition Examination Survey data

机译:朝鲜人口职业簇与过敏性鼻炎的关联:韩国国家健康与营养考试调查数据分析

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摘要

Objectives: This study aimed to investigate the association between occupational clusters and allergic rhinitis (AR). Methods: The study was based on data from the Korean National Health and Nutrition Examination Survey (KNHANES: 2007-2015). This study included 46,965 individuals: 20,491 men and 26,474 women. AR was defined as having been diagnosed by a physician. Occupations were classified according to occupational characteristics and skill levels into white (chief executives, senior officials, legislators, managers, professionals, and technicians), pink (clerks, clerical support workers, services and sales workers), blue (craft and related trades workers, drivers, plant and machine operators, assemblers, elementary occupation workers), and green (skilled agricultural, forestry, and fishery workers) categories. We calculated the odds ratios (ORs) and 95% confidence intervals (CIs) of AR according to the occupational clusters by using the chi-squared test and logistic regression. Results: In the study population, 10.7% of the men and 13.5% of the women had AR. The prevalence of AR was highest among white-collar workers, followed by pink, blue, and green-collar workers. Compared to green-collar workers, among men the adjusted ORs of the blue, pink, and white-collar workers were 2.00 (95% CI 1.58-2.53), 2.46 (95% CI 1.91-3.15), and 2.78 (95% CI 2.20-3.51), respectively; and among women were 2.45 (95% CI 1.99-3.02), 2.64 (95% CI 2.15-3.25), and 3.63 (95% CI 2.96-4.47), respectively.
机译:目的:本研究旨在调查职业簇和过敏性鼻炎(AR)之间的关联。方法:该研究基于来自韩国国家健康和营养考试调查的数据(KNHANES:2007-2015)。本研究包括46,965人:20,491名男性和26,474名妇女。 AR被定义为由医生诊断出来的。职业按职业特征和技能水平分为白色(主要高管,高级官员,立法者,经理,专业人士和技术人员),粉红色(职员,文职人员,服务和销售工人),蓝色(工艺品和相关贸易人员,司机,工厂和机器运营商,汇编者,小学职业工人),绿色(熟练的农业,林业和渔业工人)分类。我们通过使用Chi-Squared测试和逻辑回归计算根据职业簇的差距(或)和95%置信区间(CIS)。结果:在研究人口中,10.7%的男性和13.5%的女性都有AR。白领的AR普遍性是白领最高,其次是粉红色,蓝色和绿领工人。与绿领的工人相比,男性的蓝色,粉红色和白领的调整或白领的2.00(95%CI 1.58-2.53),2.46(95%CI 1.91-3.15)和2.78(95%CI) 2.20-3.51)分别;在女性中,女性为2.45(95%CI 1.99-3.02),2.64(95%CI 2.15-3.25)和3.63(95%CI 2.96-4.47)。

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