Objective: Objective of this study is to evaluate the association between high risk of depression and metabolic diseases such as hypertension, diabetes, and dyslipidemia in Korean cervical cancer patients. Methods: A total of 330 women with cervical cancer were included in this study, using data from the Korea National Health and Nutrition Examination Survey from 2010 to 2021. Participants were categorized into two groups—high risk of depression and non-depression—based on their answers to survey items related to depression. A multivariate logistic regression analysis was used to evaluate the influence of metabolic diseases on high risk of depression in patients with cervical cancer. Results: A total of 78 (23.64%) and 252 (76.36%) women were classified into the high risk of depression and non-depression groups, respectively. In multivariate logistic regression analysis adjusting for age, menopausal status, and smoking status, diabetes was associated with an odds ratio of 2.47 (95% confidence interval: 1.205, 5.071) for high risk of depression in cervical cancer patients. However, among the metabolic diseases, hypertension, and dyslipidemia were not associated with high risk of depression in patients with cervical cancer. Conclusion This study suggests that diabetes may be associated with a increased risk of high risk of depression in cervical cancer patients. Therefore, appropriate treatment of diabetes in cervical cancer patients may contribute to lowering the risk of depression in the future.

Objective: Objective of this study is to evaluate the association between high risk of depression and metabolic diseases such as hypertension, diabetes, and dyslipidemia in Korean cervical cancer patients. Methods: A total of 330 women with cervical cancer were included in this study, using data from the Korea National Health and Nutrition Examination Survey from 2010 to 2021. Participants were categorized into two groups—high risk of depression and non-depression—based on their answers to survey items related to depression. A multivariate logistic regression analysis was used to evaluate the influence of metabolic diseases on high risk of depression in patients with cervical cancer. Results: A total of 78 (23.64%) and 252 (76.36%) women were classified into the high risk of depression and non-depression groups, respectively. In multivariate logistic regression analysis adjusting for age, menopausal status, and smoking status, diabetes was associated with an odds ratio of 2.47 (95% confidence interval: 1.205, 5.071) for high risk of depression in cervical cancer patients. However, among the metabolic diseases, hypertension, and dyslipidemia were not associated with high risk of depression in patients with cervical cancer. Conclusion This study suggests that diabetes may be associated with a increased risk of high risk of depression in cervical cancer patients. Therefore, appropriate treatment of diabetes in cervical cancer patients may contribute to lowering the risk of depression in the future.

Background: Previous studies have shown various positive associations between the usual source of care (USC) and medication adherence in chronic diseases. However, no studies specifically on patients with diabetes have been conducted in Korea. This study examined the association between the USC type and medication adherence in patients with diabetes. Methods: Data from the 2021 Korea Health Panel Survey were used. The final sample comprised 1,493 participants aged ≥20 years. The types of USC were categorized into three groups: no USC, place only (without a regular doctor [RD]), and RD. Medication adherence was assessed using detailed items (dose, frequency, time, and discontinuation) and a four-point Likert scale. Logistic regression analysis was conducted with adjustment for control variables. Results: The odds ratios (ORs) for overall medication adherence were significantly higher in the RD group at 1.66 (95% confidence interval [CI], 1.15– 2.40) than in the no-USC group. No significant difference was observed in the place-only group at 0.73 (95% CI, 0.49–1.09). The ORs for medication adherence for each item (dosage, frequency, and timing) were also significantly higher in the RD group (2.21, 1.95, and 1.67, respectively). No statistically significant differences in these parameters were observed in the place-only group. Conclusion The presence of an RD positively affected medication adherence in patients with diabetes, but the presence of place-only did not. These findings emphasize the importance of an RD for medication adherence.

Background: Previous studies have shown various positive associations between the usual source of care (USC) and medication adherence in chronic diseases. However, no studies specifically on patients with diabetes have been conducted in Korea. This study examined the association between the USC type and medication adherence in patients with diabetes. Methods: Data from the 2021 Korea Health Panel Survey were used. The final sample comprised 1,493 participants aged ≥20 years. The types of USC were categorized into three groups: no USC, place only (without a regular doctor [RD]), and RD. Medication adherence was assessed using detailed items (dose, frequency, time, and discontinuation) and a four-point Likert scale. Logistic regression analysis was conducted with adjustment for control variables. Results: The odds ratios (ORs) for overall medication adherence were significantly higher in the RD group at 1.66 (95% confidence interval [CI], 1.15– 2.40) than in the no-USC group. No significant difference was observed in the place-only group at 0.73 (95% CI, 0.49–1.09). The ORs for medication adherence for each item (dosage, frequency, and timing) were also significantly higher in the RD group (2.21, 1.95, and 1.67, respectively). No statistically significant differences in these parameters were observed in the place-only group. Conclusion The presence of an RD positively affected medication adherence in patients with diabetes, but the presence of place-only did not. These findings emphasize the importance of an RD for medication adherence.

Objective: Objective of this study is to evaluate the association between high risk of depression and metabolic diseases such as hypertension, diabetes, and dyslipidemia in Korean cervical cancer patients. Methods: A total of 330 women with cervical cancer were included in this study, using data from the Korea National Health and Nutrition Examination Survey from 2010 to 2021. Participants were categorized into two groups—high risk of depression and non-depression—based on their answers to survey items related to depression. A multivariate logistic regression analysis was used to evaluate the influence of metabolic diseases on high risk of depression in patients with cervical cancer. Results: A total of 78 (23.64%) and 252 (76.36%) women were classified into the high risk of depression and non-depression groups, respectively. In multivariate logistic regression analysis adjusting for age, menopausal status, and smoking status, diabetes was associated with an odds ratio of 2.47 (95% confidence interval: 1.205, 5.071) for high risk of depression in cervical cancer patients. However, among the metabolic diseases, hypertension, and dyslipidemia were not associated with high risk of depression in patients with cervical cancer. Conclusion This study suggests that diabetes may be associated with a increased risk of high risk of depression in cervical cancer patients. Therefore, appropriate treatment of diabetes in cervical cancer patients may contribute to lowering the risk of depression in the future.

Background: Previous studies have shown various positive associations between the usual source of care (USC) and medication adherence in chronic diseases. However, no studies specifically on patients with diabetes have been conducted in Korea. This study examined the association between the USC type and medication adherence in patients with diabetes. Methods: Data from the 2021 Korea Health Panel Survey were used. The final sample comprised 1,493 participants aged ≥20 years. The types of USC were categorized into three groups: no USC, place only (without a regular doctor [RD]), and RD. Medication adherence was assessed using detailed items (dose, frequency, time, and discontinuation) and a four-point Likert scale. Logistic regression analysis was conducted with adjustment for control variables. Results: The odds ratios (ORs) for overall medication adherence were significantly higher in the RD group at 1.66 (95% confidence interval [CI], 1.15– 2.40) than in the no-USC group. No significant difference was observed in the place-only group at 0.73 (95% CI, 0.49–1.09). The ORs for medication adherence for each item (dosage, frequency, and timing) were also significantly higher in the RD group (2.21, 1.95, and 1.67, respectively). No statistically significant differences in these parameters were observed in the place-only group. Conclusion The presence of an RD positively affected medication adherence in patients with diabetes, but the presence of place-only did not. These findings emphasize the importance of an RD for medication adherence.

Objective: Objective of this study is to evaluate the association between high risk of depression and metabolic diseases such as hypertension, diabetes, and dyslipidemia in Korean cervical cancer patients. Methods: A total of 330 women with cervical cancer were included in this study, using data from the Korea National Health and Nutrition Examination Survey from 2010 to 2021. Participants were categorized into two groups—high risk of depression and non-depression—based on their answers to survey items related to depression. A multivariate logistic regression analysis was used to evaluate the influence of metabolic diseases on high risk of depression in patients with cervical cancer. Results: A total of 78 (23.64%) and 252 (76.36%) women were classified into the high risk of depression and non-depression groups, respectively. In multivariate logistic regression analysis adjusting for age, menopausal status, and smoking status, diabetes was associated with an odds ratio of 2.47 (95% confidence interval: 1.205, 5.071) for high risk of depression in cervical cancer patients. However, among the metabolic diseases, hypertension, and dyslipidemia were not associated with high risk of depression in patients with cervical cancer. Conclusion This study suggests that diabetes may be associated with a increased risk of high risk of depression in cervical cancer patients. Therefore, appropriate treatment of diabetes in cervical cancer patients may contribute to lowering the risk of depression in the future.

Background: Previous studies have shown various positive associations between the usual source of care (USC) and medication adherence in chronic diseases. However, no studies specifically on patients with diabetes have been conducted in Korea. This study examined the association between the USC type and medication adherence in patients with diabetes. Methods: Data from the 2021 Korea Health Panel Survey were used. The final sample comprised 1,493 participants aged ≥20 years. The types of USC were categorized into three groups: no USC, place only (without a regular doctor [RD]), and RD. Medication adherence was assessed using detailed items (dose, frequency, time, and discontinuation) and a four-point Likert scale. Logistic regression analysis was conducted with adjustment for control variables. Results: The odds ratios (ORs) for overall medication adherence were significantly higher in the RD group at 1.66 (95% confidence interval [CI], 1.15– 2.40) than in the no-USC group. No significant difference was observed in the place-only group at 0.73 (95% CI, 0.49–1.09). The ORs for medication adherence for each item (dosage, frequency, and timing) were also significantly higher in the RD group (2.21, 1.95, and 1.67, respectively). No statistically significant differences in these parameters were observed in the place-only group. Conclusion The presence of an RD positively affected medication adherence in patients with diabetes, but the presence of place-only did not. These findings emphasize the importance of an RD for medication adherence.

Objective: Objective of this study is to evaluate the association between high risk of depression and metabolic diseases such as hypertension, diabetes, and dyslipidemia in Korean cervical cancer patients. Methods: A total of 330 women with cervical cancer were included in this study, using data from the Korea National Health and Nutrition Examination Survey from 2010 to 2021. Participants were categorized into two groups—high risk of depression and non-depression—based on their answers to survey items related to depression. A multivariate logistic regression analysis was used to evaluate the influence of metabolic diseases on high risk of depression in patients with cervical cancer. Results: A total of 78 (23.64%) and 252 (76.36%) women were classified into the high risk of depression and non-depression groups, respectively. In multivariate logistic regression analysis adjusting for age, menopausal status, and smoking status, diabetes was associated with an odds ratio of 2.47 (95% confidence interval: 1.205, 5.071) for high risk of depression in cervical cancer patients. However, among the metabolic diseases, hypertension, and dyslipidemia were not associated with high risk of depression in patients with cervical cancer. Conclusion This study suggests that diabetes may be associated with a increased risk of high risk of depression in cervical cancer patients. Therefore, appropriate treatment of diabetes in cervical cancer patients may contribute to lowering the risk of depression in the future.

Background: Although coronavirus disease 2019 (COVID-19) is a viral infection, antibiotics are often prescribed due to concerns about accompanying bacterial infection. Therefore, we aimed to analyze the number of patients with COVID-19 who received antibiotic prescriptions, as well as factors that influenced antibiotics prescription, using the National Health Insurance System database. Methods: We retrospectively reviewed claims data for adults aged ≥ 19 years hospitalized for COVID-19 from December 1, 2019 to December 31, 2020. According to the National Institutes of Health guidelines for severity classification, we calculated the proportion of patients who received antibiotics and the number of days of therapy per 1,000 patient-days. Factors contributing to antibiotic use were determined using linear regression analysis. In addition, antibiotic prescription data for patients with influenza hospitalized from 2018 to 2021 were compared with those for patients with COVID-19, using an integrated database from Korea Disease Control and Prevention Agency-COVID19-National Health Insurance Service cohort (K-COV-N cohort), which was partially adjusted and obtained from October 2020 to December 2021. Results: Of the 55,228 patients, 46.6% were males, 55.9% were aged ≥ 50 years, and most patients (88.7%) had no underlying diseases. The majority (84.3%; n = 46,576) were classified as having mild-to-moderate illness, with 11.2% (n = 6,168) and 4.5% (n = 2,484) having severe and critical illness, respectively. Antibiotics were prescribed to 27.3% (n = 15,081) of the total study population, and to 73.8%, 87.6%, and 17.9% of patients with severe, critical, and mild-to-moderate illness, respectively. Fluoroquinolones were the most commonly prescribed antibiotics (15.1%; n = 8,348), followed by third-generation cephalosporins (10.4%; n = 5,729) and beta-lactam/beta-lactamase inhibitors (6.9%; n = 3,822). Older age, COVID-19 severity, and underlying medical conditions contributed significantly to antibiotic prescription requirement. The antibiotic use rate was higher in the influenza group (57.1%) than in the total COVID-19 patient group (21.2%), and higher in severe-to-critical COVID-19 cases (66.6%) than in influenza cases. Conclusion Although most patients with COVID-19 had mild to moderate illness, more than a quarter were prescribed antibiotics. Judicious use of antibiotics is necessary for patients with COVID-19, considering the severity of disease and risk of bacterial co-infection.