1.Development of standard job classification codes for building a job-exposure matrix for police officers
Sangjun CHOI ; Ju-Hyun PARK ; Inah KIM ; Jungwon JANG ; Jeehee MIN ; Sang Baek KOH ; Seongwon KIM ; Yeji SUNG ; Kyoung Yoon KO ; Su Min OH ; Un-Yeol JEON
Annals of Occupational and Environmental Medicine 2025;37(1):e10-
Background:
This study aimed to develop standard job categories for constructing a job-exposure matrix (JEM) for police officers in South Korea and to evaluate their applicability.
Methods:
We examined standard job codes related to police personnel management and compared them with job classifications from police publications. Using R Shiny, we developed a web-based search tool for standard codes. A pilot survey of 130 police officers assessed the codes' applicability and relevance to health-related hazardous factors.
Results:
Eighty-seven standard functional codes used in the police personnel management system POOL were organized into minor categories as the basic units of standard jobs. These were grouped into 20 sub-major categories and further consolidated into 10 major categories to develop the standard job codes. The responses to the standard job codes in the pilot survey were 75% accurate compared with the final expert evaluation results and 99.2% accurate compared with the algorithm-based automatic allocation results. The results of the job-hazardous factor network analysis revealed that the most frequently reported hazardous factor was emotional labor, followed by night shifts and electromagnetic waves. Emotional labor was identified as the top hazardous factor in six out of the nine standard job categories.
Conclusions
The standard job codes developed in this study were designed in connection with the personnel management system for police officers, making them well-suited for constructing a comprehensive JEM for the entire police force.
2.The association between vegetable intake and marital status in Korean adults aged 30 years and over: based on the 2007~2010 Korea National Health and Nutrition Examination Survey.
Yeji BAEK ; Hyojee JOUNG ; Sangah SHIN
Journal of Nutrition and Health 2015;48(2):192-198
PURPOSE: The aim of this study was to examine associations between marital status and vegetable intake. METHODS: Data were from participants 30 years and over (n = 18,190) in the 2007~2010 Korea National Health and Nutrition Examination Survey. Marital status was divided into three groups: married, never married, and separated/divorced/widowed. Vegetable intake was estimated from the twenty-four hour dietary recall. Data were analyzed using a chi-square test, analysis of covariance, least squares means, and logistic regression. RESULTS: Married respondents tend to consume more vegetables, including kimchi, than all other marital status groups. Vegetable intake, excluding kimchi, was lowest among 30~64 year-old respondents who had never married. Elderly men (65 years and older) who were never married/separated/divorced/widowed had significantly lower vegetable intake than elderly men who were married (p = 0.0008). When considering the Korean dietary reference intake (KDRIs), elderly men who were never married/separated/divorced/widowed, compared with elderly men who were married, had a significantly higher odds ratio for consuming fewer vegetables than the KDRIs (OR = 1.64, 95% CI: 1.13~2.37). CONCLUSION: The findings of this study indicate that marital status might influence vegetable intake and the probability of consuming fewer vegetables than the KDRIs. In particular, being never married/separated/divorced/widowed might adversely affect vegetable consumption among elderly men, although assessing the causal effect of marital status from this cross-sectional study is difficult.
Adult*
;
Aged
;
Cross-Sectional Studies
;
Surveys and Questionnaires
;
Humans
;
Korea
;
Least-Squares Analysis
;
Logistic Models
;
Male
;
Marital Status*
;
Nutrition Surveys*
;
Odds Ratio
;
Recommended Dietary Allowances
;
Single Person
;
Vegetables*
3.Dietary intake of fats and fatty acids in the Korean population: Korea National Health and Nutrition Examination Survey, 2013.
Yeji BAEK ; Ji Yun HWANG ; Kirang KIM ; Hyun Kyung MOON ; Sanghui KWEON ; Jieun YANG ; Kyungwon OH ; Jae Eun SHIM
Nutrition Research and Practice 2015;9(6):650-657
BACKGROUND/OBJECTIVES: The aim of this study was to estimate average total fat and fatty acid intakes as well as identify major food sources using data from the Korea National Health and Nutrition Examination Survey (KNHANES) VI-1 (2013). SUBJECTS/METHODS: Total fat and fatty acid intakes were estimated using 24-hour dietary recall data on 7,048 participants aged > or = 3 years from the KNHANES VI-1 (2013). Data included total fat, saturated fatty acid (SFA), monounsaturated fatty acid (MUFA), polyunsaturated fatty acid (PUFA), n-3 fatty acid (n-3 FA), and n-6 fatty acid (n-6 FA) levels. Population means and standard errors of the mean were weighted in order to produce national estimates and separated based on sex, age, income, as well as residential region. Major food sources of fat, SFA, MUFA, PUFA, n-3 FA, and n-6 FA were identified based on mean consumption amounts of fat and fatty acids in each food. RESULTS: The mean intake of total fat was 48.0 g while mean intakes of SFA, MUFA, PUFA, n-3 FA, and n-6 FA were 14.4 g, 15.3 g, 11.6 g, 1.6 g, and 10.1 g, respectively. Intakes of MUFA and SFA were each higher than that of PUFA in all age groups. Pork was the major source of total fat, SFA, and MUFA, and soybean oil was the major source of PUFA. Milk and pork were major sources of SFA in subjects aged 3-11 years and > or = 12 years, respectively. Perilla seed oil and soybean oil were main sources of n-3 FA in subjects aged > or = 50 years and aged < 50 years, respectively. CONCLUSIONS: Estimation of mean fatty acid intakes of this study using nationally represented samples of the Korean population could be useful for developing and evaluating national nutritional policies.
Fats*
;
Fatty Acids*
;
Humans
;
Korea*
;
Milk
;
Nutrition Surveys*
;
Perilla
;
Soybean Oil

Result Analysis
Print
Save
E-mail