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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

[Abstract] : [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 individua...

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Bibliographic Details
Published in:Journal of Occupational Health 2018-07, Vol.60 (4), p.312-319
Main Authors: Park, Sungjin, Jung, Pil Kyun, Choi, Myungsup, Seok, Hongdeok, Kim, Hansol, Oh, Sung‐Soo, Koh, Sang‐Baek
Format: Article
Language:English
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Summary:[Abstract] : [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. [Conclusions] : This study suggests that AR prevalence is significantly associated with occupational clusters.
ISSN:1341-9145
1348-9585
1348-9585
DOI:10.1539/joh.2017-0234-OA