1.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.
2.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.
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.Self-Esteem Trajectories After Occupational Injuries and Diseases and Their Relation to Changes in Subjective Health: Result From the Panel Study of Workers’ Compensation Insurance (PSWCI)
Seong-Uk BAEK ; Won-Tae LEE ; Min-Seok KIM ; Myeong-Hun LIM ; Jin-Ha YOON ; Jong-Uk WON
Journal of Korean Medical Science 2023;38(37):e284-
Background:
Occupational injuries and diseases are life events that significantly impact an individuals’ identity. In this study, we examined the trajectories of self-esteem among victims of occupational injury and disease and their relation to health.
Methods:
The Panel Study of Workers’ Compensation Insurance conducted annual followups on workers who had experienced occupational injury or disease. A total of 2,000 participants, who had completed medical care, were followed from 2013 to 2017. Growth mixture modeling was utilized to identify latent classes in the self-esteem trajectory.Additionally, logistic regressions were conducted to explore the association between trajectory membership, baseline predictors, and outcomes.
Results:
Three distinct trajectory classes were identified. Total 65.8% of the samples (n = 1,316) followed an increasing self-esteem trajectory, while 31.1% (n = 623) exhibited a constant trajectory, and 3.1% (n = 61) showed a decreasing trajectory. Individuals with an increasing trajectory were more likely to have a higher educational attainment (odds ratio [OR], 1.86; 95% confidence interval [CI], 1.20–2.88), an absence of a moderate-to-severe disability rating (OR, 0.49; 95% CI, 0.25–0.96), no difficulty in daily living activities (OR, 0.81; 95% CI, 0.75–0.88), and were economically active (re-employed: OR, 2.46; 95% CI, 1.52–3.98; returned to original work: OR, 4.46; 9% CI, 2.65–7.50). Those with a decreasing self-esteem trajectory exhibited an increased risk of poor subjective health (OR, 1.89; 95% CI, 0.85–4.85 in 2013 to OR, 3.17; 95% CI, 1.04–13.81 in 2017), whereas individuals with an increasing trajectory showed a decreased risk (OR, 0.54; 95% CI, 0.43–0.68 in 2013 to OR, 0.44; 95% CI, 0.33–0.57 in 2017).
Conclusion
Our findings emphasize the diversity of psychological responses to occupational injury or disease. Policymakers should implement interventions to enhance the self-esteem of victims.
5.Characteristics and Socio-Demographic Distribution of Precarious Employment Among Korean Wage Workers: A Proposition of Multidimensional Approach Using a Summative Score
Seong-Uk BAEK ; Min-Seok KIM ; Myeong-Hun LIM ; Taeyeon KIM ; Jin-Ha YOON ; Jong-Uk WON
Safety and Health at Work 2023;14(4):476-482
Methods:
To operationalize precarious employment, we utilized data from the Korean Working Conditions Survey and focused on three distinct dimensions: employment insecurity, income inadequacy, and a lack of rights and protections. By constructing a summative scale ranging from -16 to 2, with lower scores indicating higher precariousness, we measured employment precariousness among Korean wage workers. To compare employment precariousness according to survey participant characteristics, we employed the Wilcoxon Rank Sum Test.
Results:
We analyzed a weighted number of 38,432 workers. The overall sample showed a median (Q1, Q3) summative scale score of -3 (-6, -1). The median summative score was lower for women compared to men (men: -2; women: -5; p < 0.001), as well as for young or older workers compared to middle-aged workers (young: -4; middle-aged: -2; older: -5; p < 0.001). Similarly, workers with lower educational levels (middle school or below: -8; high school: -5; college or above: -2; p < 0.001) and non-white collar workers (blue collar: -5; service/sales worker: -6; white collar: -2; p < 0.001) experienced higher levels of employment precariousness.
Conclusion
Our findings indicate that certain vulnerable groups, such as women, young or older adults, workers with low educational attainment, and caregiving or low-skilled elementary workers, are disproportionately exposed to high employment precariousness. Active policy interventions are needed to improve the employment quality of vulnerable groups.
6.Estimated trends in hospitalizations due to occupational injuries in Korea based on the Korean National Hospital Discharge In-depth Injury Survey (2006-2019)
Seong-Uk BAEK ; Won-Tae LEE ; Min-Seok KIM ; Myeong-Hun LIM ; Jin-Ha YOON
Epidemiology and Health 2023;45(1):e2023042-
OBJECTIVES:
In recent years, occupational injuries have sparked a huge social and political debate. Thus, in this study, we focused on the characteristics and trends of occupational injuries requiring hospitalization in Korea.
METHODS:
The Korea National Hospital Discharge In-depth Injury Survey was designed to estimate the annual number and characteristics of all injury-related hospitalizations in Korea. The annual number of hospitalizations due to occupational injuries and the age-standardized rates (ASRs) were estimated from 2006 to 2019. The annual percentage change (APC) and average annual percentage change (AAPC) of ASRs and their 95% confidence intervals (CIs) were calculated using joinpoint regression. All analyses were stratified by gender.
RESULTS:
In men, the APC of the ASRs of all-cause occupational injuries was -3.1% (95% CI, -4.5 to -1.7) in 2006-2015. However, a non-significant upward trend was observed after 2015 (APC, 3.3%; 95% CI, -1.6 to 8.5). In women, the APC of all-cause occupational injuries was -8.6% (95% CI, -12.1 to -5.1) in 2006-2012. However, a non-significant upward trend was observed after 2012 (APC, 2.1%; 95% CI, -0.9 to 5.2). A recent upward trend in stabbing injuries was observed after 2012 (APC, 4.7%; 95% CI, -1.8 to 11.8) in women. A non-significant overall increasing trend was also observed for occupational injuries caused by exposure to extreme temperatures (AAPC, 3.7%; 95% CI, -1.1 to 8.7) in women.
CONCLUSIONS
A recent upward trend in all-cause injury hospitalizations and hospitalizations caused by stabbing injuries was observed. Therefore, active policy interventions are required to prevent occupational injuries.
7.Acute Cholangitis Caused by Boryong Strain of Orientia tsutsugamushi
Keun Hwa LEE ; Sang Taek HEO ; Seung Uk JEONG ; Mi-yeon KIM ; Woo Seong JEONG ; Chang Lim HYUN ; Young-Kyu KIM ; Jeong Rae YOO
Infection and Chemotherapy 2020;52(4):621-625
Scrub typhus present with a variety clinical manifestations caused by Orientia tsutsugamushi, it is sometimes accompanied by severe complications. The clinical course of this complication is not well clear. Herein, we first report a case with acute cholangitis and acalculous cholecystitis caused by the Boryong genotype of O. tsutsugamushi. A 82-year-old woman presented with fever and acute abdominal pain on the right upper quadrant. Initially, the patient showed an abnormality of liver enzymes of cholestatic pattern. An acute cholangitis and cholecystitis were suspected on the enhanced computed tomography (CT), and emergent endoscopic retrograde cholangiopancreatography (ERCP) performed. However, neither ERCP nor CT detected common bile duct stones or sludge. The patient's illness progressed despite bile drainage and antibiotic therapy. On the fifth day in hospital, an immunofluorescence IgG assay for O. tsutsugamushi was positive, and the patient newly developed a skin rash and an eschar lesion on the right abdomen. The polymerase chain reaction amplification of Orientia genes from blood and bile was positive, genotype of both samples was identified the Boryong type. The presentation of scrub typhus as an acute cholangitis is not reported till now. In endemic areas, scrub typhus would be considered a rare etiology of acute cholangitis.
8.Acute Cholangitis Caused by Boryong Strain of Orientia tsutsugamushi
Keun Hwa LEE ; Sang Taek HEO ; Seung Uk JEONG ; Mi-yeon KIM ; Woo Seong JEONG ; Chang Lim HYUN ; Young-Kyu KIM ; Jeong Rae YOO
Infection and Chemotherapy 2020;52(4):621-625
Scrub typhus present with a variety clinical manifestations caused by Orientia tsutsugamushi, it is sometimes accompanied by severe complications. The clinical course of this complication is not well clear. Herein, we first report a case with acute cholangitis and acalculous cholecystitis caused by the Boryong genotype of O. tsutsugamushi. A 82-year-old woman presented with fever and acute abdominal pain on the right upper quadrant. Initially, the patient showed an abnormality of liver enzymes of cholestatic pattern. An acute cholangitis and cholecystitis were suspected on the enhanced computed tomography (CT), and emergent endoscopic retrograde cholangiopancreatography (ERCP) performed. However, neither ERCP nor CT detected common bile duct stones or sludge. The patient's illness progressed despite bile drainage and antibiotic therapy. On the fifth day in hospital, an immunofluorescence IgG assay for O. tsutsugamushi was positive, and the patient newly developed a skin rash and an eschar lesion on the right abdomen. The polymerase chain reaction amplification of Orientia genes from blood and bile was positive, genotype of both samples was identified the Boryong type. The presentation of scrub typhus as an acute cholangitis is not reported till now. In endemic areas, scrub typhus would be considered a rare etiology of acute cholangitis.
9.Validation of Previous Spirometric Reference Equations and New Equations
Hye Sook CHOI ; Yong Bum PARK ; Hyoung Kyu YOON ; Seong Yong LIM ; Tae Hyung KIM ; Joo Hun PARK ; Won Yeon LEE ; Seoung Ju PARK ; Sei Won LEE ; Woo Jin KIM ; Ki Uk KIM ; Kyeong Cheol SHIN ; Do Jin KIM ; Tae Eun KIM ; Kwang Ha YOO ; Jae Jeong SHIM ; Yong Il HWANG
Journal of Korean Medical Science 2019;34(47):304-
10.Factors associated with Experience of Diagnosis and Utilization of Chronic Diseases among Korean Elderly : Focus on Comparing between Urban and Rural Elderly
Min Ji LEE ; Dong Hyun KOWN ; Yong Yook KIM ; Jae Han KIM ; Sung Jun MOON ; Keon Woo PARK ; Il Woo PARK ; Jun Young PARK ; Na Yeon BAEK ; Gi Seok SON ; So Yeon AHN ; In Uk YEO ; Sang Ah WOO ; Sung Yun YOO ; Gi Beop LEE ; Soo Beom LIM ; Soo Hyun JANG ; Su Jin JEONG ; Yeon Ju JUNG ; Seong Geon CHO ; Jeong Sik CHA ; Ki Seok HWANG ; Tae Jun LEE ; Moo Sik LEE
Journal of Agricultural Medicine & Community Health 2019;44(4):165-184
OBJECTIVES:
The purpose of this study was to identify and compare the difference and related factors with general characteristic and health behaviors, a experience of diagnosis and treatment of chronic diseases between rural and urban among elderly in Korea.
METHODS:
We used the data of Community Health Survey 2017 which were collected by the Korean Center for Disease Control and Prevention. The study population comprised 67,835 elderly peopled aged 65 years or older who participated in the survey. The chi-square test, univariate and multivariate logistic regression analysis were used to analyze data.
RESULTS:
We identified many significant difference of health behaviors, an experience of diagnosis and treatment with chronic diseases between rural and urban. Compared to urban elderly, the odds ratios (ORs) (95% confidence interval) of rural elderly were 1.136 (1.092–1.183) for diagnosis of diabetes, 1.278 (1.278–1.386) for diagnosis of dyslipidemia, 0.940 (0.904–0.977) for diagnosis of arthritis, 0.785(0.736–0.837) for treatment of arthritis, 1.159 (1.116–1.203) for diagnosis of cataracts, and 1.285(1.200–1.375) for treatment of cataracts. In the experience of diagnosis and treatment of chronic diseases, various variables were derived as contributing factors for each disease. Especially, there were statistically significant difference in the experience of diabetes diagnosis, arthritis diagnosis, cataract diagnosis and dyslipidemia except for hypertension diagnosis (p<0.01) between urban and rural elderly. There were statistically significant differences in the experience of treatment for arthritis and cataract (p<0.01), but there was no significant difference in the experience of treatment for hypertension, diabetes, dyslipidemia between urban and rural elderly.
CONCLUSION
Therefore, it would be necessary to implement a strategic health management project for diseases that showed significant experience of chronic diseases with diagnosis and treatment, reflecting the related factors of the elderly chronic diseases among the urban and rural areas.

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