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.

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.

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: Current international guidelines recommend against deep sedation as it is associated with worse outcomes in the intensive care unit (ICU). However, in Korea the prevalence of deep sedation and its impact on patients in the ICU are not well known. Methods: From April 2020 to July 2021, a multicenter, prospective, longitudinal, noninterventional cohort study was performed in 20 Korean ICUs. Sedation depth extent was divided into light and deep using a mean Richmond Agitation–Sedation Scale value within the first 48 hours. Propensity score matching was used to balance covariables; the outcomes were compared between the two groups. Results: Overall, 631 patients (418 [66.2%] and 213 [33.8%] in the deep and light sedation groups, respectively) were included. Mortality rates were 14.1% and 8.4% in the deep and light sedation groups (P = 0.039), respectively. Kaplan-Meier estimates showed that time to extubation (P < 0.001), ICU length of stay (P = 0.005), and death P = 0.041) differed between the groups. After adjusting for confounders, early deep sedation was only associated with delayed time to extubation (hazard ratio [HR], 0.66; 95% confidence inter val [CI], 0.55– 0.80; P < 0.001). In the matched cohort, deep sedation remained significantly associated with delayed time to extubation (HR, 0.68; 95% 0.56–0.83; P < 0.001) but was not associated with ICU length of stay (HR, 0.94; 95% CI, 0.79–1.13; P = 0.500) and in-hospital mortality (HR, 1.19; 95% CI, 0.65–2.17; P = 0.582). Conclusion In many Korean ICUs, early deep sedation was highly prevalent in mechanically ventilated patients and was associated with delayed extubation, but not prolonged ICU stay or in-hospital death.