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.

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.

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.

Objectives: Handwashing is one of the most effective methods to prevent the spread of infectious diseases. This study assessed the related factors and reasons for not practicing handwashing at school among adolescents. Methods: We analyzed data collected from 57,303 adolescents who participated in the 15th Korea Youth Risk Behavior Survey 2019. Results: The proportions of not washing hands “before meals at school” and “after using the toilet at school” were 15.9% and 4.4%, respectively. The adjusted odds ratio for not washing hands before meals at school was significantly higher in girls (Odds Ratio [OR]=1.52, 95% Confidence Intervals [CI]=1.42-1.63), metropolitan city (OR=1.32, 95% CI=1.11-1.56), city (OR=1.29, 95% CI=1.08-1.54), higher grade, higher academic performance, lower economic status, not handwashing at home (OR=14.36, 95% CI=13.37-15.42), and without annual personal hygiene education (OR=1.41, 95% CI=1.33-1.49). Reasons for not washing hands at school among adolescents who do not wash their hands before meals at school included ‘it is bothersome (52.3%)’, ‘there is no soap or hand sanitizer (13.8%)’, and ‘I do not feel the need (9.5%)’. Conclusions Improving handwashing before meals at school among adolescents requires raising awareness of the importance of handwashing before meals and establishing a suitable environment and handwashing-encouraging culture.

Purpose: The purpose of this study is to identify health behaviors, work-related health problems, and accidents of live-line workers. Methods: The questionnaires were administered to 150 live-line workers in 150 workplaces.A total of 150 questionnaires were collected and 130 were used. Data were analyzed for frequency and percentage by SAS Version 9.3. Results: In terms of eating habits, 62.3% were in the regular-group. Smoking status was 61.5% of smokers and drinking status was 87.7% in the drinking-group. Body mass index was 42.9% for obesity. Most of the workers had problems with sleep. Among the work-related health problems were 98.2% for “upper limb muscle pain”, 92.7% for “back pain”, and 97.2% for “body fatigue”. Among the work-related accidents were 91.7% for “cutting”, 88.4% for “excessive movement”, and 88.3% for “falling”. Conclusion Safety technology development and effective and efficient work equipment must be used to improve the safety and health of live-line workers. In addition, it is necessary to thoroughly supervise and provide active support for the risk factors and health management to the working environment of live-line workers.

Purpose: The purpose of this study is to analyze occupational accident compensation insurance coverage and occupational accidents incidence for special-type delivery workers. Methods: The data for occupational accident compensation insurance coverage and occupational accidents from 2012 to 2017 were analyzed through descriptive statistics. Results: Rates of occupational accident compensation insurance coverage of special-type delivery workers decreased gradually from 43.4% in 2012 to 28.5% in 2016, and 29.0% in 2017. Rates of occupational illnesses death per ten thousand workers increased gradually from 2.1‱ in 2013 to 3.1‱ in 2016, and 8.6‱ in 2017. All occupational illness deaths were due to cerebro-cardiovascular diseases. Road traffic accidents and slips accounted for the largest proportion of occupational accidents. Conclusion Special-type delivery workers have a high risk of industrial accidents, so it is necessary to raise industrial accident insurance coverage and provide professional and systematic occupational safety and health services.

Purpose: The purpose of this study is to investigate the effect of work environment on health problems of nurses. Methods: The subjects of the study were 395 nurses who were wage workers among KWCS (Korean Working Conditions Survey) respondents in 2014. The work environments were measured by the KWCS questionnaire. Results: 48.5% of the 395 nurses had health problems. The prevalence of musculoskeletal diseases (34.7%) was the highest among all health problems. The ergonomic work environment was significantly related to musculoskeletal disorders, headache and eye strain, and fatigue. In addition, the increase in work-individual interface area was significantly related to fatigue. Conclusion The work environment of nurses affects health problems. It is therefore important to develop strategies that improve the health problems of nurses by reducing ergonomic and psycho-social risk factors.

Purpose: This study explored the association between workplace discrimination and violence and depressive symptoms among Korean employees. Methods: Data were obtained from the 4th Korean Working Condition Survey of 2014, which included 21,902 Korean employees. Depressive symptoms were measured using the WHO-5 Well-Being Index questionnaire scales. Results: A statistically significant relationship between workplace discrimination and workplace violence was found, and these two variables were also associated with depressive symptoms. After adjusting for variables such as sociodemographic characteristics, physical risk, and psychosocial working environment, workplace discrimination (OR=1.22, p<.001) and workplace violence (OR=1.69, p<.001) were both significantly associated with depressive symptoms. Conclusion This study indicates that to promote employees’ psychological health, systems and programs to prevent workplace discrimination and violence are needed. Development of these systems and programs should consider employees’ experiences of workplace discrimination and workplace violence, sociodemographic characteristics, physical risk, and psychosocial working environments.

Purpose: This study aimed to analyze industrial accident compensation insurance coverage and industrial accidents among concrete mixer truck drivers. Methods: Original data on industrial accidents from 2012 to 2017 were analyzed through descriptive statistics. Results: Industrial accident compensation insurance coverage was 44.6% in 2017. Most concrete mixer truck drivers were affiliated with small businesses. A total of 61 industrial accidents occurred in 2012, 65 in 2014, and 80 in 2017. The major types of industrial accident were falls, slips, and crushes. Conclusion Because concrete mixer truck drivers are at high risk for industrial accidents, industrial accident compensation insurance coverage and industrial accident prevention should be strongly enforced.

PURPOSE: This study aimed to identify the level of health problems and the factors that affect health problems for concrete mixer truck divers. METHODS: The questionnaires were administered to 111 drivers in 6 Remicon workplaces located in D city and 7 Remicon workplaces located in K city from September 10 to 28, 2018. A total of 111 questionnaires were collected and 106 were used, excluding 5 incomplete ones. Data were analyzed with frequency, percentage, χ2 test, multiple logistic regression analysis by SPSS/WIN 23.0. RESULTS: The factors affecting subjective health were eating habits, sleeping hours and drinking conditions. The factors that affected chronic diseases were age, eating habits, sleep hours, and drinking conditions. The factors influencing musculoskeletal complaints were work experience, eating habits, and sleep hours. CONCLUSION: The major influencing factors of health problems were eating habits, sleeping hours. This study suggests that it is necessary to run a systematic health care program for the desirable health behaviors in the communities and industrial fields.
Chronic Disease ; Delivery of Health Care ; Diagnostic Self Evaluation ; Drinking ; Eating ; Health Behavior ; Health Status ; Logistic Models ; Motor Vehicles ; Musculoskeletal Diseases