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.Sarcopenic Obesity: A Comprehensive Approach for Postmenopausal Women
Jung Yoon PARK ; Youn-Jee CHUNG ; Jae-Yen SONG ; Ki Cheol KIL ; Hong Yeon LEE ; Jungwon CHAE ; Mee-Ran KIM
Journal of Menopausal Medicine 2024;30(3):143-151
Sarcopenic obesity, characterized by the concurrent presence of muscle loss and obesity, poses significant health challenges, especially in the elderly. This review explores the impact of sarcopenic obesity on disability, metabolic health, comorbidities, and potential management strategies. With the aging global population, the prevalence of sarcopenic obesity is expected to increase, necessitating a comprehensive management approach. Early screening, prevention, and ongoing research on its underlying mechanisms and therapeutic options are crucial for promoting healthy aging.
3.Occupation classification model based on DistilKoBERT: using the 5th and 6th Korean Working Condition Surveys
Tae-Yeon KIM ; Seong-Uk BAEK ; Myeong-Hun LIM ; Byungyoon YUN ; Domyung PAEK ; Kyung Ehi ZOH ; Kanwoo YOUN ; Yun Keun LEE ; Yangho KIM ; Jungwon KIM ; Eunsuk CHOI ; Mo-Yeol KANG ; YoonHo CHO ; Kyung-Eun LEE ; Juho SIM ; Juyeon OH ; Heejoo PARK ; Jian LEE ; Jong-Uk WON ; Yu-Min LEE ; Jin-Ha YOON
Annals of Occupational and Environmental Medicine 2024;36(1):e19-
Accurate occupation classification is essential in various fields, including policy development and epidemiological studies. This study aims to develop an occupation classification model based on DistilKoBERT. This study used data from the 5th and 6th Korean Working Conditions Surveys conducted in 2017 and 2020, respectively. A total of 99,665 survey participants, who were nationally representative of Korean workers, were included. We used natural language responses regarding their job responsibilities and occupational codes based on the Korean Standard Classification of Occupations (7th version, 3-digit codes). The dataset was randomly split into training and test datasets in a ratio of 7:3. The occupation classification model based on DistilKoBERT was fine-tuned using the training dataset, and the model was evaluated using the test dataset. The accuracy, precision, recall, and F1 score were calculated as evaluation metrics. The final model, which classified 28,996 survey participants in the test dataset into 142 occupational codes, exhibited an accuracy of 84.44%. For the evaluation metrics, the precision, recall, and F1 score of the model, calculated by weighting based on the sample size, were 0.83, 0.84, and 0.83, respectively. The model demonstrated high precision in the classification of service and sales workers yet exhibited low precision in the classification of managers. In addition, it displayed high precision in classifying occupations prominently represented in the training dataset. This study developed an occupation classification system based on DistilKoBERT, which demonstrated reasonable performance. Despite further efforts to enhance the classification accuracy, this automated occupation classification model holds promise for advancing epidemiological studies in the fields of occupational safety and health.
4.Occupation classification model based on DistilKoBERT: using the 5th and 6th Korean Working Condition Surveys
Tae-Yeon KIM ; Seong-Uk BAEK ; Myeong-Hun LIM ; Byungyoon YUN ; Domyung PAEK ; Kyung Ehi ZOH ; Kanwoo YOUN ; Yun Keun LEE ; Yangho KIM ; Jungwon KIM ; Eunsuk CHOI ; Mo-Yeol KANG ; YoonHo CHO ; Kyung-Eun LEE ; Juho SIM ; Juyeon OH ; Heejoo PARK ; Jian LEE ; Jong-Uk WON ; Yu-Min LEE ; Jin-Ha YOON
Annals of Occupational and Environmental Medicine 2024;36(1):e19-
Accurate occupation classification is essential in various fields, including policy development and epidemiological studies. This study aims to develop an occupation classification model based on DistilKoBERT. This study used data from the 5th and 6th Korean Working Conditions Surveys conducted in 2017 and 2020, respectively. A total of 99,665 survey participants, who were nationally representative of Korean workers, were included. We used natural language responses regarding their job responsibilities and occupational codes based on the Korean Standard Classification of Occupations (7th version, 3-digit codes). The dataset was randomly split into training and test datasets in a ratio of 7:3. The occupation classification model based on DistilKoBERT was fine-tuned using the training dataset, and the model was evaluated using the test dataset. The accuracy, precision, recall, and F1 score were calculated as evaluation metrics. The final model, which classified 28,996 survey participants in the test dataset into 142 occupational codes, exhibited an accuracy of 84.44%. For the evaluation metrics, the precision, recall, and F1 score of the model, calculated by weighting based on the sample size, were 0.83, 0.84, and 0.83, respectively. The model demonstrated high precision in the classification of service and sales workers yet exhibited low precision in the classification of managers. In addition, it displayed high precision in classifying occupations prominently represented in the training dataset. This study developed an occupation classification system based on DistilKoBERT, which demonstrated reasonable performance. Despite further efforts to enhance the classification accuracy, this automated occupation classification model holds promise for advancing epidemiological studies in the fields of occupational safety and health.
5.Sarcopenic Obesity: A Comprehensive Approach for Postmenopausal Women
Jung Yoon PARK ; Youn-Jee CHUNG ; Jae-Yen SONG ; Ki Cheol KIL ; Hong Yeon LEE ; Jungwon CHAE ; Mee-Ran KIM
Journal of Menopausal Medicine 2024;30(3):143-151
Sarcopenic obesity, characterized by the concurrent presence of muscle loss and obesity, poses significant health challenges, especially in the elderly. This review explores the impact of sarcopenic obesity on disability, metabolic health, comorbidities, and potential management strategies. With the aging global population, the prevalence of sarcopenic obesity is expected to increase, necessitating a comprehensive management approach. Early screening, prevention, and ongoing research on its underlying mechanisms and therapeutic options are crucial for promoting healthy aging.
6.Occupation classification model based on DistilKoBERT: using the 5th and 6th Korean Working Condition Surveys
Tae-Yeon KIM ; Seong-Uk BAEK ; Myeong-Hun LIM ; Byungyoon YUN ; Domyung PAEK ; Kyung Ehi ZOH ; Kanwoo YOUN ; Yun Keun LEE ; Yangho KIM ; Jungwon KIM ; Eunsuk CHOI ; Mo-Yeol KANG ; YoonHo CHO ; Kyung-Eun LEE ; Juho SIM ; Juyeon OH ; Heejoo PARK ; Jian LEE ; Jong-Uk WON ; Yu-Min LEE ; Jin-Ha YOON
Annals of Occupational and Environmental Medicine 2024;36(1):e19-
Accurate occupation classification is essential in various fields, including policy development and epidemiological studies. This study aims to develop an occupation classification model based on DistilKoBERT. This study used data from the 5th and 6th Korean Working Conditions Surveys conducted in 2017 and 2020, respectively. A total of 99,665 survey participants, who were nationally representative of Korean workers, were included. We used natural language responses regarding their job responsibilities and occupational codes based on the Korean Standard Classification of Occupations (7th version, 3-digit codes). The dataset was randomly split into training and test datasets in a ratio of 7:3. The occupation classification model based on DistilKoBERT was fine-tuned using the training dataset, and the model was evaluated using the test dataset. The accuracy, precision, recall, and F1 score were calculated as evaluation metrics. The final model, which classified 28,996 survey participants in the test dataset into 142 occupational codes, exhibited an accuracy of 84.44%. For the evaluation metrics, the precision, recall, and F1 score of the model, calculated by weighting based on the sample size, were 0.83, 0.84, and 0.83, respectively. The model demonstrated high precision in the classification of service and sales workers yet exhibited low precision in the classification of managers. In addition, it displayed high precision in classifying occupations prominently represented in the training dataset. This study developed an occupation classification system based on DistilKoBERT, which demonstrated reasonable performance. Despite further efforts to enhance the classification accuracy, this automated occupation classification model holds promise for advancing epidemiological studies in the fields of occupational safety and health.
7.Sarcopenic Obesity: A Comprehensive Approach for Postmenopausal Women
Jung Yoon PARK ; Youn-Jee CHUNG ; Jae-Yen SONG ; Ki Cheol KIL ; Hong Yeon LEE ; Jungwon CHAE ; Mee-Ran KIM
Journal of Menopausal Medicine 2024;30(3):143-151
Sarcopenic obesity, characterized by the concurrent presence of muscle loss and obesity, poses significant health challenges, especially in the elderly. This review explores the impact of sarcopenic obesity on disability, metabolic health, comorbidities, and potential management strategies. With the aging global population, the prevalence of sarcopenic obesity is expected to increase, necessitating a comprehensive management approach. Early screening, prevention, and ongoing research on its underlying mechanisms and therapeutic options are crucial for promoting healthy aging.
8.Comparison of food and nutrient intake according to the presence of glaucoma among Korean older adults
Jungwon KIM ; Seyeon PARK ; Yoon Jung YANG
Nutrition Research and Practice 2024;18(5):701-710
BACKGROUND/OBJECTIVES:
The purpose of this study was to compare nutrient intake according to the presence of glaucoma among Korean individuals aged 60 yrs or older and to establish evidence for the necessity of dietary habits and nutritional management in the prevention and management of glaucoma.
SUBJECTS/METHODS:
The study was conducted on 4,195 older adults aged 60 or older who participated in the Korea National Health and Nutrition Examination Survey in 2017 and 2018. The subjects were classified into glaucoma (n = 186) and non-glaucoma (n = 4,009) groups based on the doctor’s diagnosis of glaucoma. Nutrient intake was estimated using a 24-h recall method, and the intake of nutrients between the 2 groups was compared.
RESULTS:
The comparison of food group and nutrient intake according to the subjects’ prevalence of glaucoma showed that the average intake of potatoes and starches was higher in the glaucoma group than in the non-glaucoma group (P = 0.049), whereas the average intake of meat, fish, and shellfish was higher in the non-glaucoma group than in the glaucoma group (P = 0.045, P = 0.018). Additionally, the average intake of omega-3 and vitamin C was higher in the non-glaucoma group than in the glaucoma group (P = 0.022, P = 0.045), while the average intake of niacin was higher in the glaucoma group than in the non-glaucoma group (P = 0.046).
CONCLUSION
The intake of meats, fish, and shellfish, omega-3, and vitamin C was higher in the non-glaucoma group than in the glaucoma group. These results suggest that a healthy diet might be necessary for the prevention and management of glaucoma.
9.Clinical usefulness of procalcitonin/albumin and blood urea nitrogen/albumin ratios for the early detection of bacteremia
Sang Shin PYO ; Dae Wui YOON ; Hyunjung KIM ; Hiun Suk CHAE ; Hae Kyung LEE
Annals of Clinical Microbiology 2023;26(4):103-115
Background:
Early prediction of bacteremia is important because sepsis may develop if bacteremia is not treated in time. We aimed to determine whether blood tests are clinically useful in predicting gram-negative versus gram-positive bacteremia.
Methods:
We retrospectively analyzed the medical records of 16,569 patients who underwent blood culture testing among those who visited St. Mary’s Hospital of Uijeongbu, Catholic University from January 1, 2018 to December 31, 2018. After excluding 15,580 patients with insufficient data for analysis, the total study population was 989.
Results:
In the multivariable logistic regression analysis for gram-negative bacteremia, after adjusting for major variables, procalcitonin (odds ratio [OR] 1.02, P < 0.001), high-sensitivity C-reactive protein (OR 1.03, P = 0.010), and albumin (OR 0.55, P = 0.010) were significant. In the same model, lactic acid (OR 1.08, P = 0.010), blood urea nitrogen (BUN) (OR 1.02, P = 0.010), and albumin (OR 0.50, P = 0.005) were significant for gram-positive bacteremia.We constructed blood indicators by combining blood tests that were significant in multivariable logistic regression analysis. Comparing the area under the curve (AUC) of the receiver operating characteristic curve, the AUC of the procalcitonin/albumin ratio in gramnegative bacteremia was significantly higher than that of procalcitonin (0.846 vs. 0.837, P = 0.005), and the AUC of the BUN/albumin ratio in gram-positive bacteremia was significantly higher than that of BUN (0.709 vs. 0.679, P = 0.007).
Conclusion
The procalcitonin/albumin ratio is expected to be helpful in the early prediction of gram-negative bacteremia, whereas the BUN/albumin ratio in the early prediction of grampositive bacteremia.
10.Reliability and Validity of the Korean Version of Disruptive Behavior Disorders Rating Scale, DSM-5 Version-Parent Form
Eun Sol LEE ; Vin RYU ; Jungwon CHOI ; Yunhye OH ; Jin Woong YOON ; Hyeree HAN ; Hyeon HONG ; Hye Jung SON ; Ji Hyun LEE ; Subin PARK
Psychiatry Investigation 2022;19(11):884-897
Objective:
Disruptive behavior disorder (DBD) adversely impacts children and adolescents. However, a comprehensive and cost-effective scale to assess DBD is lacking in Korea. Therefore, this study translated the Disruptive Behavior Disorders Rating Scale (DBDRS) into Korean and analyzed its psychometric properties.
Methods:
Parents and primary caregivers of non-clinical (n=429) and clinical (n=28) children and adolescents aged 6–15 years were included in the analysis. Confirmatory factor analysis was conducted; further, concurrent validity and internal consistency were investigated using correlation analysis and Cronbach’s alpha, respectively. Furthermore, discriminative capacity was estimated using receiver operating characteristic curve analysis.
Results:
The four-factor model of K-DBDRS showed good model fit indices and factor loadings, which supported the construct validity of the scale. Strong correlations between K-DBDRS and related measurements were observed, and a robust level of Cronbach’s alpha was confirmed (0.891–0.933). The discriminative capacity of the scale was good, based on the area under the curve values (0.933–0.953).
Conclusion
This study indicated that the K-DBDRS is an appropriate screening tool for Korean children and adolescents. Thus, this scale can be applied in clinical and community settings to identify children and adolescents with disruptive behavior disorders.

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