1.Epidermal nevus: a clinical and histopathological study.
Juho YOON ; Hyung Soon LEE ; Sung Ku AHN ; Seung Hun LEE ; Soo Im CHOI ; Kwang Gil LEE
Korean Journal of Dermatology 1992;30(6):841-849
We reviewed 48 skin bicpsies obtained from 48 patients with epidermal nevus during a 10 year period from January 1981 to December 1990. The results are summarized as follows : 1) Of our 48 patients, 23 were male and 25 were female, and male to female ratio was 1 to 1.1. 2) The average of the patients was 19.8 years at the time of diagnois. 3) Lesions were present at birth in 45.7 percent of patients, and most of the remainder de veloped in childhood. The mean age of onset was 7.7 years. 4) The clinical varieties of the nevi in 48 patients were classified according to caicegories of nevus verrucosus, including systematized epidermal nevus, nevu, unius lateris, ichthyosis hystrix, epidermal nevus syndrome and inflammatory linear veirucous epidermal nevus. The most common type was nevus verrucosus(88.6%). 5) A large variety of histopathologic changes can be seen in epidermal nevi. The most common histopathologic .ype was nonspecific(31.3%), follows by common(12.5%), epidermolytic hyperkertosis(12.5%), and acanthosis nigricans(10.4%). 6) The most commonly affected area was head and neck(48.5%) followed by trunk(28.6%), upper limb(11.4%) and lower limb(2.9%).
Age of Onset
;
Female
;
Head
;
Humans
;
Ichthyosis
;
Male
;
Nevus*
;
Parturition
;
Porcupines
;
Skin
2.Telecommuting during the COVID-19: the role of job demand and control on health outcomes
Seung-Woo RYOO ; Jin-Young MIN ; Seok-Yoon SON ; Baek-Yong CHOI ; Juho CHOI ; Kyoung-Bok MIN
Annals of Occupational and Environmental Medicine 2024;36(1):e14-
The coronavirus disease 2019 (COVID-19) pandemic drastically modified the occupational system wherein telecommuting has risen as the major form of work. Few studies have incorporated Karasek’s job demand-control (JDC) model into explaining the health effects of telecommuting. This study aimed to investigate the health risk in South Korean telecommuters during the pandemic, and its distribution according to the job stress-related factors. A nationwide population-based cross-sectional study of South Korean laborers was conducted, utilizing the 6th Korean Working Conditions Survey (2020–2021). Following the previously described concept of telecommuting, 14,478 white-collar employees were eligible study participants. Telecommuting, job demand, job control, and various health indicators were measured by the responses to the survey. Participants were stratified into 4 job profiles classified by the JDC model. We conducted multiple logistic regression analyses between telecommuting and health-related outcomes to estimate the odds ratio (OR) with a 95% confidence interval (CI). One hundred forty-six low-strain, 223 active, 69 passive, and 148 high-strain workers were screened as telecommuters. Compared to office workers, telecommuters had a higher proportion in high job control groups. Subgroup analysis demonstrated different relationships between telecommuting and health, where only active telecommuters showed a higher prevalence of depression (OR: 1.980, 95% CI: 1.126–3.481), and high-strain telecommuters were affected in most outcomes including insomnia (OR: 2.555, 95% CI: 1.473–4.433), musculoskeletal pain (OR: 2.786, 95% CI: 1.719–4.517), headache/eye strain (OR: 3.074, 95% CI: 1.992–4.745) and presenteeism (OR: 1.932, 95% CI: 1.193–3.131). This study revealed significantly increased odds of multiple health outcomes among South Korean telecommuters during the COVID-19 pandemic era. High-strain job holders were prominently susceptible to the negative health impacts of telecommuting. Occupational health management towards telecommuters should approach mitigating high job demand and low job control.
3.Telecommuting during the COVID-19: the role of job demand and control on health outcomes
Seung-Woo RYOO ; Jin-Young MIN ; Seok-Yoon SON ; Baek-Yong CHOI ; Juho CHOI ; Kyoung-Bok MIN
Annals of Occupational and Environmental Medicine 2024;36(1):e14-
The coronavirus disease 2019 (COVID-19) pandemic drastically modified the occupational system wherein telecommuting has risen as the major form of work. Few studies have incorporated Karasek’s job demand-control (JDC) model into explaining the health effects of telecommuting. This study aimed to investigate the health risk in South Korean telecommuters during the pandemic, and its distribution according to the job stress-related factors. A nationwide population-based cross-sectional study of South Korean laborers was conducted, utilizing the 6th Korean Working Conditions Survey (2020–2021). Following the previously described concept of telecommuting, 14,478 white-collar employees were eligible study participants. Telecommuting, job demand, job control, and various health indicators were measured by the responses to the survey. Participants were stratified into 4 job profiles classified by the JDC model. We conducted multiple logistic regression analyses between telecommuting and health-related outcomes to estimate the odds ratio (OR) with a 95% confidence interval (CI). One hundred forty-six low-strain, 223 active, 69 passive, and 148 high-strain workers were screened as telecommuters. Compared to office workers, telecommuters had a higher proportion in high job control groups. Subgroup analysis demonstrated different relationships between telecommuting and health, where only active telecommuters showed a higher prevalence of depression (OR: 1.980, 95% CI: 1.126–3.481), and high-strain telecommuters were affected in most outcomes including insomnia (OR: 2.555, 95% CI: 1.473–4.433), musculoskeletal pain (OR: 2.786, 95% CI: 1.719–4.517), headache/eye strain (OR: 3.074, 95% CI: 1.992–4.745) and presenteeism (OR: 1.932, 95% CI: 1.193–3.131). This study revealed significantly increased odds of multiple health outcomes among South Korean telecommuters during the COVID-19 pandemic era. High-strain job holders were prominently susceptible to the negative health impacts of telecommuting. Occupational health management towards telecommuters should approach mitigating high job demand and low job control.
4.Telecommuting during the COVID-19: the role of job demand and control on health outcomes
Seung-Woo RYOO ; Jin-Young MIN ; Seok-Yoon SON ; Baek-Yong CHOI ; Juho CHOI ; Kyoung-Bok MIN
Annals of Occupational and Environmental Medicine 2024;36(1):e14-
The coronavirus disease 2019 (COVID-19) pandemic drastically modified the occupational system wherein telecommuting has risen as the major form of work. Few studies have incorporated Karasek’s job demand-control (JDC) model into explaining the health effects of telecommuting. This study aimed to investigate the health risk in South Korean telecommuters during the pandemic, and its distribution according to the job stress-related factors. A nationwide population-based cross-sectional study of South Korean laborers was conducted, utilizing the 6th Korean Working Conditions Survey (2020–2021). Following the previously described concept of telecommuting, 14,478 white-collar employees were eligible study participants. Telecommuting, job demand, job control, and various health indicators were measured by the responses to the survey. Participants were stratified into 4 job profiles classified by the JDC model. We conducted multiple logistic regression analyses between telecommuting and health-related outcomes to estimate the odds ratio (OR) with a 95% confidence interval (CI). One hundred forty-six low-strain, 223 active, 69 passive, and 148 high-strain workers were screened as telecommuters. Compared to office workers, telecommuters had a higher proportion in high job control groups. Subgroup analysis demonstrated different relationships between telecommuting and health, where only active telecommuters showed a higher prevalence of depression (OR: 1.980, 95% CI: 1.126–3.481), and high-strain telecommuters were affected in most outcomes including insomnia (OR: 2.555, 95% CI: 1.473–4.433), musculoskeletal pain (OR: 2.786, 95% CI: 1.719–4.517), headache/eye strain (OR: 3.074, 95% CI: 1.992–4.745) and presenteeism (OR: 1.932, 95% CI: 1.193–3.131). This study revealed significantly increased odds of multiple health outcomes among South Korean telecommuters during the COVID-19 pandemic era. High-strain job holders were prominently susceptible to the negative health impacts of telecommuting. Occupational health management towards telecommuters should approach mitigating high job demand and low job control.
5.Classification of Sialolithiasis by Location of Stones: Retrospective Review of 534 Cases
Jisoo LEE ; Juho HAN ; Sunwook KIM ; Hyogeun CHOI ; Bumjung PARK
Korean Journal of Otolaryngology - Head and Neck Surgery 2019;62(8):457-461
BACKGROUND AND OBJECTIVES:
To investigate epidemiological features of patients with sialolithiasis and to evaluate the difference in outcomes depending on its location.SUBJECTS AND METHOD: We included in the test 472 patients, or 534 cases, who were admitted to the Hallym University Sacred Heart Hospital between February 2006 and May 2017 with the diagnosis of sialolithiasis. The diagnosis of sialolithiasis was established by CT images; all of the cases were classified by the location of stones (orifice to stone/orifice to hilum: 0ââ¬â0.25, type I; 0.25ââ¬â0.5, type II; 0.5ââ¬â0.75, type III; 0.75ââ¬â1, type IV).
RESULTS:
The average size of stone was 7.2ñ4.8 mm and the mean patient age was 36.1ñ17.4 years old. According to the method described above, 534 cases were classified into the following: type I consisted of 188 cases (35.2%), type II consisted of 55 cases (10.2%), type III consisted of 92 cases (17.2%) and type IV consisted of 199 (37.2%). When comparing these types, stones in Type I were significantly smaller than other groups. There was a significant difference in the surgical method depending on the location of stones. Different complications such as swelling, bleeding, tongue discomfort, ranula, recurrence, etc. have been reported and, together, they statistically show meaningful differences in the distribution depending on types.
CONCLUSION
The position of stone in Wharton's duct is important factor that can determine the method of surgical procedure or postoperative prognosis. We recommend 4 types classification of sialolithiasis and it can provide more specific diagnosis of disease and facilitate approach for treatment.
6.Classification of Sialolithiasis by Location of Stones: Retrospective Review of 534 Cases
Jisoo LEE ; Juho HAN ; Sunwook KIM ; Hyogeun CHOI ; Bumjung PARK
Korean Journal of Otolaryngology - Head and Neck Surgery 2019;62(8):457-461
BACKGROUND AND OBJECTIVES: To investigate epidemiological features of patients with sialolithiasis and to evaluate the difference in outcomes depending on its location. SUBJECTS AND METHOD: We included in the test 472 patients, or 534 cases, who were admitted to the Hallym University Sacred Heart Hospital between February 2006 and May 2017 with the diagnosis of sialolithiasis. The diagnosis of sialolithiasis was established by CT images; all of the cases were classified by the location of stones (orifice to stone/orifice to hilum: 0–0.25, type I; 0.25–0.5, type II; 0.5–0.75, type III; 0.75–1, type IV). RESULTS: The average size of stone was 7.2±4.8 mm and the mean patient age was 36.1±17.4 years old. According to the method described above, 534 cases were classified into the following: type I consisted of 188 cases (35.2%), type II consisted of 55 cases (10.2%), type III consisted of 92 cases (17.2%) and type IV consisted of 199 (37.2%). When comparing these types, stones in Type I were significantly smaller than other groups. There was a significant difference in the surgical method depending on the location of stones. Different complications such as swelling, bleeding, tongue discomfort, ranula, recurrence, etc. have been reported and, together, they statistically show meaningful differences in the distribution depending on types. CONCLUSION: The position of stone in Wharton's duct is important factor that can determine the method of surgical procedure or postoperative prognosis. We recommend 4 types classification of sialolithiasis and it can provide more specific diagnosis of disease and facilitate approach for treatment.
Classification
;
Diagnosis
;
Heart
;
Hemorrhage
;
Humans
;
Methods
;
Prognosis
;
Ranula
;
Recurrence
;
Retrospective Studies
;
Salivary Ducts
;
Salivary Gland Calculi
;
Submandibular Gland
;
Tongue
7.Socioeconomic Disparities in the Association Between All-Cause Mortality and Health Check-Up Participation Among Healthy Middle-Aged Workers:A Nationwide Study
Byungyoon YUN ; Juyeon OH ; Jaesung CHOI ; Laura S. ROZEK ; Heejoo PARK ; Juho SIM ; Yangwook KIM ; Jongmin LEE ; Jin-Ha YOON
Journal of Korean Medical Science 2023;38(50):e384-
Background:
This study assessed the relationship between non-participation in health checkups and all-cause mortality and morbidity, considering socioeconomic status.
Methods:
Healthy, middle-aged (35–54 years) working individuals who maintained either self-employed or employee status from 2006–2010 were recruited in this retrospective cohort study from the National Health Insurance Service in Korea. Health check-up participation was calculated as the sum of the number of health check-ups in 2007–2008 and 2009–2010.Adjusted hazard ratio (HR) and 95% confidence interval (CI) of all-cause mortality were estimated for each gender using multivariable Cox proportional hazard models, adjusting for age, income, residential area, and employment status. Interaction of non-participation in health check-ups and employment status on the risk of all-cause mortality was further analyzed.
Results:
Among 4,267,243 individuals with a median 12-year follow-up (median age, 44;men, 74.43%), 89,030 (2.09%) died. The proportion (number) of deaths of individuals with no, one-time, and two-time participation in health check-ups was 3.53% (n = 47,496), 1.66% (n = 13,835), and 1.33% (n = 27,699), respectively. The association between health checkup participation and all-cause mortality showed a reverse J-shaped curve with the highest adjusted HR (95% CI) of 1.575 (1.541–1.611) and 1.718 (1.628–1.813) for men and women who did not attend any health check-ups, respectively. According to the interaction analysis, both genders showed significant additive and multiplicative interaction, with more pronounced additive interaction among women who did not attend health check-ups (relative excess risk due to interaction, 1.014 [0.871−1.158]).
Conclusion
Our study highlights the significant reverse J-shaped association between health check-up participation and all-cause mortality. A pronounced association was found among self-employed individuals, regardless of gender.
8.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.
9.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.
10.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.