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Research Article
JEONGHEON KIM
Gachon University of Medicine and Science: Gachon University
Corresponding Author
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Purpose : Although occupational factors such as working hours, type of workers, and being a shift worker have been associated with the prevalence of obesity, the relationships between occupation type and obesity prevalence, especially in South Korea, have not been clarified. We therefore investigated the association between obesity markers such as body mass index (BMI) and waist circumference (WC) and types of occupation using data from the 2018 Korea National Health and Nutrition Examination Survey. Methods: We evaluated the height, weight, WC, -and demographic variables (age, sex, socioeconomic status, alcohol, and smoking) from data of 3,645 respondents. The occupational groups were classified into nine categories (managers, professionals and related workers, clerks, service workers, sales workers, skilled agriculture, forestry and fishery workers, craft and related trade workers, equipment, machine operating and assembling workers, and elementary workers) using the Korean version of the Standard Classification of Occupations. We performed an analysis of covariance test to assess the relationship between obesity markers (BMI; and WC) and types of occupation. Results: There was a significant difference in obesity markers among men according to occupation categories after controlling for socio-demographic covariates. The prevalence of obesity was significantly higher in managers (25.8 +/- 0.4 kg/m 2 , 89.7 +/- 1.1 cm), and lower in craft and related trade workers (24.3 +/ - 0.2 kg/m 2 , 85.1 +/- 0.6 cm) , respectively . (p = 0.011) . Conclusion: The obesity markers were highest in the manager group and lowest in the craft and related trades workers group among men of all the occupation groups.
Keywords
obesity prevalence, occupation, BMI, waist circumference Level of evidence, Level III: Evidence obtained from well-designed cohort or case-control analytic studies
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This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Research Article
JEONGHEON KIM
Gachon University of Medicine and Science: Gachon University
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 05 Mar, 2021
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Nutrition & Dietetics
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Purpose : Although occupational factors such as working hours, type of workers, and being a shift worker have been associated with the prevalence of obesity, the relationships between occupation type and obesity prevalence, especially in South Korea, have not been clarified. We therefore investigated the association between obesity markers such as body mass index (BMI) and waist circumference (WC) and types of occupation using data from the 2018 Korea National Health and Nutrition Examination Survey. Methods: We evaluated the height, weight, WC, -and demographic variables (age, sex, socioeconomic status, alcohol, and smoking) from data of 3,645 respondents. The occupational groups were classified into nine categories (managers, professionals and related workers, clerks, service workers, sales workers, skilled agriculture, forestry and fishery workers, craft and related trade workers, equipment, machine operating and assembling workers, and elementary workers) using the Korean version of the Standard Classification of Occupations. We performed an analysis of covariance test to assess the relationship between obesity markers (BMI; and WC) and types of occupation. Results: There was a significant difference in obesity markers among men according to occupation categories after controlling for socio-demographic covariates. The prevalence of obesity was significantly higher in managers (25.8 +/- 0.4 kg/m 2 , 89.7 +/- 1.1 cm), and lower in craft and related trade workers (24.3 +/ - 0.2 kg/m 2 , 85.1 +/- 0.6 cm) , respectively . (p = 0.011) . Conclusion: The obesity markers were highest in the manager group and lowest in the craft and related trades workers group among men of all the occupation groups.
Figure 1
Figure 2
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