Association between occupational clusters and allergic rhinitis in the Korean population: Analysis of the Korean National Health and Nutrition Examination Survey data

Sungjin Park, Pil Kyun Jung, Myungsup Choi, Hongdeok Seok, Hansol Kim, Sung Soo Oh, Sang Baek Koh

Research output: Contribution to journalArticle

2 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)312-319
Number of pages8
JournalJournal of Occupational Health
Volume60
Issue number4
DOIs
Publication statusPublished - 2018 Jan 1

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Nutrition Surveys
Confidence Intervals
Population
Occupations
Odds Ratio
Forestry
Fisheries
Allergic Rhinitis
Logistic Models
Physicians

All Science Journal Classification (ASJC) codes

  • Public Health, Environmental and Occupational Health

Cite this

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title = "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 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.",
author = "Sungjin Park and Jung, {Pil Kyun} and Myungsup Choi and Hongdeok Seok and Hansol Kim and Oh, {Sung Soo} and Koh, {Sang Baek}",
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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. / Park, Sungjin; Jung, Pil Kyun; Choi, Myungsup; Seok, Hongdeok; Kim, Hansol; Oh, Sung Soo; Koh, Sang Baek.

In: Journal of Occupational Health, Vol. 60, No. 4, 01.01.2018, p. 312-319.

Research output: Contribution to journalArticle

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T1 - Association between occupational clusters and allergic rhinitis in the Korean population

T2 - Analysis of the Korean National Health and Nutrition Examination Survey data

AU - Park, Sungjin

AU - Jung, Pil Kyun

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AU - Kim, Hansol

AU - Oh, Sung Soo

AU - Koh, Sang Baek

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N2 - 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.

AB - 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.

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