1.Influence of self-efficacy in health management and resilience on treatment compliance in Korean patients undergoing percutaneous coronary intervention: a descriptive survey study
Mi-Ra JUNG ; Eun JEONG ; Kyung Sim LEE ; Jang Hyun CHO
Journal of Korean Biological Nursing Science 2025;27(2):266-274
This study aimed to identify factors influencing treatment compliance in Korean patients undergoing percutaneous coronary intervention. Methods: The study included 130 patients who underwent percutaneous coronary intervention at St. Carollo Hospital. Data were collected using self-administered questionnaires from March 21, 2022 to May 30, 2023, and analyzed using descriptive statistics, the t-test, analysis of variance, the Scheffé test, Pearson correlation coefficients, and multiple regression in SPSS version 26.0. Results: Resilience (β = .59, p < .001), alcohol drinking (β = −.18, p = .005), and the diagnosis (β = .13, p = .040) accounted for 45.0% of the variance in treatment compliance in patients undergoing percutaneous coronary intervention. Conclusion: These results indicate that it is necessary to explore strategies for developing and implementing programs that can effectively enhance resilience in patients who have undergone percutaneous coronary intervention.
2.Influence of self-efficacy in health management and resilience on treatment compliance in Korean patients undergoing percutaneous coronary intervention: a descriptive survey study
Mi-Ra JUNG ; Eun JEONG ; Kyung Sim LEE ; Jang Hyun CHO
Journal of Korean Biological Nursing Science 2025;27(2):266-274
This study aimed to identify factors influencing treatment compliance in Korean patients undergoing percutaneous coronary intervention. Methods: The study included 130 patients who underwent percutaneous coronary intervention at St. Carollo Hospital. Data were collected using self-administered questionnaires from March 21, 2022 to May 30, 2023, and analyzed using descriptive statistics, the t-test, analysis of variance, the Scheffé test, Pearson correlation coefficients, and multiple regression in SPSS version 26.0. Results: Resilience (β = .59, p < .001), alcohol drinking (β = −.18, p = .005), and the diagnosis (β = .13, p = .040) accounted for 45.0% of the variance in treatment compliance in patients undergoing percutaneous coronary intervention. Conclusion: These results indicate that it is necessary to explore strategies for developing and implementing programs that can effectively enhance resilience in patients who have undergone percutaneous coronary intervention.
3.Domperidone Induces Apoptosis through Suppression of STAT3 Signaling in Human Renal Cancer Caki-2 Cells
Geumi PARK ; Manoj Kumar BANIYA ; Eun-Jeong CHA ; So Jin SIM ; Joon-Seok CHOI ; Kyung-Soo CHUN
Journal of Cancer Prevention 2025;30(1):24-31
Renal cancer continues to offer a great challenge for its successful therapy today, thus underscoring the need for effective chemotherapeutic agents. In the current study, we explored the anticancer effects of domperidone, a dopamine D2 receptor (DRD2) antagonist, in renal cancer Caki-2 cells. Domperidone induced dose and time-dependent cytotoxic effects in Caki-2 cells, triggering intrinsic apoptosis via the stimulation of the caspase cascade and PARP cleavage. The cytotoxic effect of domperidone was found to be partially DRD2-dependent. Domperidone treatment markedly augmented the production of intracellular reactive oxygen species which induced the cell death of Caki-2 cells. In addition, domperidone suppressed Janus kinase 2 and STAT3 phosphorylation, leading to inhibition of survival and proliferation of these cells. Hence, domperidone can be considered a promising candidate for renal cancer treatment.
4.Domperidone Induces Apoptosis through Suppression of STAT3 Signaling in Human Renal Cancer Caki-2 Cells
Geumi PARK ; Manoj Kumar BANIYA ; Eun-Jeong CHA ; So Jin SIM ; Joon-Seok CHOI ; Kyung-Soo CHUN
Journal of Cancer Prevention 2025;30(1):24-31
Renal cancer continues to offer a great challenge for its successful therapy today, thus underscoring the need for effective chemotherapeutic agents. In the current study, we explored the anticancer effects of domperidone, a dopamine D2 receptor (DRD2) antagonist, in renal cancer Caki-2 cells. Domperidone induced dose and time-dependent cytotoxic effects in Caki-2 cells, triggering intrinsic apoptosis via the stimulation of the caspase cascade and PARP cleavage. The cytotoxic effect of domperidone was found to be partially DRD2-dependent. Domperidone treatment markedly augmented the production of intracellular reactive oxygen species which induced the cell death of Caki-2 cells. In addition, domperidone suppressed Janus kinase 2 and STAT3 phosphorylation, leading to inhibition of survival and proliferation of these cells. Hence, domperidone can be considered a promising candidate for renal cancer treatment.
5.Influence of self-efficacy in health management and resilience on treatment compliance in Korean patients undergoing percutaneous coronary intervention: a descriptive survey study
Mi-Ra JUNG ; Eun JEONG ; Kyung Sim LEE ; Jang Hyun CHO
Journal of Korean Biological Nursing Science 2025;27(2):266-274
This study aimed to identify factors influencing treatment compliance in Korean patients undergoing percutaneous coronary intervention. Methods: The study included 130 patients who underwent percutaneous coronary intervention at St. Carollo Hospital. Data were collected using self-administered questionnaires from March 21, 2022 to May 30, 2023, and analyzed using descriptive statistics, the t-test, analysis of variance, the Scheffé test, Pearson correlation coefficients, and multiple regression in SPSS version 26.0. Results: Resilience (β = .59, p < .001), alcohol drinking (β = −.18, p = .005), and the diagnosis (β = .13, p = .040) accounted for 45.0% of the variance in treatment compliance in patients undergoing percutaneous coronary intervention. Conclusion: These results indicate that it is necessary to explore strategies for developing and implementing programs that can effectively enhance resilience in patients who have undergone percutaneous coronary intervention.
6.Domperidone Induces Apoptosis through Suppression of STAT3 Signaling in Human Renal Cancer Caki-2 Cells
Geumi PARK ; Manoj Kumar BANIYA ; Eun-Jeong CHA ; So Jin SIM ; Joon-Seok CHOI ; Kyung-Soo CHUN
Journal of Cancer Prevention 2025;30(1):24-31
Renal cancer continues to offer a great challenge for its successful therapy today, thus underscoring the need for effective chemotherapeutic agents. In the current study, we explored the anticancer effects of domperidone, a dopamine D2 receptor (DRD2) antagonist, in renal cancer Caki-2 cells. Domperidone induced dose and time-dependent cytotoxic effects in Caki-2 cells, triggering intrinsic apoptosis via the stimulation of the caspase cascade and PARP cleavage. The cytotoxic effect of domperidone was found to be partially DRD2-dependent. Domperidone treatment markedly augmented the production of intracellular reactive oxygen species which induced the cell death of Caki-2 cells. In addition, domperidone suppressed Janus kinase 2 and STAT3 phosphorylation, leading to inhibition of survival and proliferation of these cells. Hence, domperidone can be considered a promising candidate for renal cancer treatment.
7.Influence of self-efficacy in health management and resilience on treatment compliance in Korean patients undergoing percutaneous coronary intervention: a descriptive survey study
Mi-Ra JUNG ; Eun JEONG ; Kyung Sim LEE ; Jang Hyun CHO
Journal of Korean Biological Nursing Science 2025;27(2):266-274
This study aimed to identify factors influencing treatment compliance in Korean patients undergoing percutaneous coronary intervention. Methods: The study included 130 patients who underwent percutaneous coronary intervention at St. Carollo Hospital. Data were collected using self-administered questionnaires from March 21, 2022 to May 30, 2023, and analyzed using descriptive statistics, the t-test, analysis of variance, the Scheffé test, Pearson correlation coefficients, and multiple regression in SPSS version 26.0. Results: Resilience (β = .59, p < .001), alcohol drinking (β = −.18, p = .005), and the diagnosis (β = .13, p = .040) accounted for 45.0% of the variance in treatment compliance in patients undergoing percutaneous coronary intervention. Conclusion: These results indicate that it is necessary to explore strategies for developing and implementing programs that can effectively enhance resilience in patients who have undergone percutaneous coronary intervention.
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.
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