What is the relationship between the local population change and cancer incidence in patients with dyslipidemia: Evidence of the impact of local extinction in Korea.

BACKGROUND: Changes in the local population are intricately linked to healthcare infrastructure, which subsequently impacts the healthcare sector. A decreasing local population can result in lagging health infrastructure, potentially leading to adverse health outcomes as patients may be at risk of not receiving optimal care and treatment. While some studies have explored the relationship between chronic diseases and local population decline, evidence regarding cancer is insufficient. In this study, we focused on how deteriorating management of chronic diseases such as dyslipidemia could influence the risk of cancer. We investigated the relationship between changes in the local population and cancer incidence among patients with dyslipidemia. METHODS: This cohort study was conducted using claims data. Data from adult patients with dyslipidemia from the National Health Insurance Service-National Sample Cohort conducted between 2002 and 2015 were included. Population changes in each region were obtained from the Korean Statistical Information Service and were used to link each individual's regional code. Cancer risk was the dependent variable, and Cox proportional hazards regression was used to estimate the target associations. RESULTS: Data from 336,883 patients with dyslipidemia were analyzed. Individuals who resided in areas with a decreasing population had a higher risk of cancer than those living in areas with an increasing population (decrease: hazard ratio (HR) = 1.06, 95% CI = 1.03-1.10; normal: HR = 1.05, 95% CI = 1.02-1.09). Participants living in regions with a low number of hospitals had a higher risk of cancer than those in regions with a higher number of hospitals (HR = 1.20, 95% CI = 1.12-1.29). CONCLUSION: Patients in regions where the population has declined are at a higher risk of cancer, highlighting the importance of managing medical problems caused by regional extinction. This could provide evidence for and useful insights into official policies on population decline and cancer risk.

Satisfaction with local healthcare services and medical need among hypertensive patients: a nationwide study.

BACKGROUND: Investigating the factors associated with unmet medical needs is important since it can reflect access to healthcare. This study examined the relationship between the unmet medical needs of patients with hypertension and their satisfaction with the healthcare services available in their neighborhoods. METHODS: Data were from the 2021 Korean Community Health Survey. The sample included individuals aged 19 years who were diagnosed with hypertension. The main outcome measure was unmet medical need. The relationship between the outcome measure and independent variables were analyzed using multivariate logistic regressions, along with a subgroup analysis based on whether patients were currently receiving treatment for hypertension. RESULTS: Unmet medical needs were found in 4.3% of the study participants. A higher likelihood of unmet medical needs was found in individuals not satisfied with the healthcare services at proximity (adjusted OR = 1.69, 95% CI: 1.49-1.92) compared to those satisfied with services nearby. Similar tendencies were found regardless of whether individuals were currently receiving treatment for hypertension, although larger differences were found between groups in participants who were currently not receiving treatment. CONCLUSIONS: The findings infer the need to consider patient satisfaction with nearby healthcare services in implementing public health policies that address unmet medical need in patients with hypertension.

The impact of the implementation of a national policy on dementia on healthcare costs in older patients with dementia in Korea: a quasi-experimental difference-in-difference study.

Background: Owing to the aging population, the prevalence of dementia is increasing worldwide and has become an important public health problem. In 2018, Korea implemented the National Dementia Care Policy to strengthen the management of dementia and reduce its related burden on medical expenses. This study investigated the effect this policy on total and out-of-pocket costs in elderly patients with dementia. Methods: Data were from the National Health Insurance System. The study population included 10,549,863 individuals aged 65 years or older, recorded between January 1, 2015, and December 31, 2020. The treatment group comprised of dementia patients and the control group those diagnosed with the five most common diseases found in individuals aged 65 years or above. The difference-in-difference was used to explore changes in total and out-of-pocket healthcare costs per diagnosed case between the treatment and control group before and after the intervention period. Findings: Policy implementation was associated with a significant decrease in patient out-of-pocket cost. In the covariate-controlled model, no statistically significant changes were found for total mean healthcare cost. However, patient out-of-pocket cost decreased by 0.05 per diagnosed case. Interpretation: The National Dementia Care Policy led to a reduction in patient out-of-pocket cost in elderly patients with dementia. National policies need to be monitored to reduce the economic burden of patients with dementia while maintaining the financial sustainability of the healthcare system. Funding: This research was financially supported by the Ministry of Trade, Industry and Energy (MOTIE) and Korea Planning & Evaluation Institute of Industrial Technology (Project No. 20024263).

The Effect of Telehealth on Patterns of Health Care Utilization and Medication Prescription in Patients with Diabetes or Hypertension During COVID-19: A Nationwide Study.

Background: In response to the coronavirus disease-19 pandemic, audio-based telehealth services for consultation and medication prescription were temporarily introduced in Korea. This study investigated the impact of telehealth services on patterns of health care utilization and medication prescription in patients with hypertension or diabetes. Methods: The 2019 to 2021 Health Insurance Review and Assessment Service claims data were used. The difference-in-difference approach was used to investigate the effect of telehealth services between the case and control group before and after the intervention period. The pre-intervention period was from February 24, 2019, to February 23, 2020, and the post-intervention period from February 24, 2020, to February 23, 2021. The control group included individuals who used in-person outpatient services and the case group those who utilized both telehealth and in-person services. Results: A total of 250,640 patients with hypertension and 154,212 patients with diabetes were included. The use of telehealth services was associated with an increase in outpatient visits in those with hypertension (0.07, p = 0.0027) and diabetes (0.32, p < 0.0001). A decrease in hospitalizations (-0.2%, p = 0.0007) and emergency department visits (-0.11%, p = 0.0016) was found in individuals with hypertension. Policy implementation also resulted in an increase in medication possession ratio (MPR) and the proportion of appropriate prescription in patients with hypertension (MPR: 3.0%, p < 0.0001, prescription: 3.1%, p < 0.0001) and diabetes (MPR: 3.4%, p < 0.0001, prescription: 1.7%, p < 0.0001). Conclusions: The findings confirm a relationship between implementing telehealth services and improved patterns of health care utilization and medication prescription, suggesting the potential benefit of telehealth in managing chronic diseases.

The impact of physical disability on the risk of gastric cancer incidence in elderly patients with diabetes: a focus on regional disparity.

PURPOSE: Elderly patients with type 2 diabetes mellitus (T2DM) may have a higher risk of physical disability. This study investigated the incidence of gastric cancer according to physical disability status in elderly patients with T2DM. METHODS: The National Health Insurance Service claims data were used. A total of 76,162 participants aged 60 years or above, diagnosed with T2DM, were included. The association between physical disability status and gastric cancer incidence was evaluated using the Cox regression analysis. Additionally, subgroup analysis was performed according to region. RESULTS: A total of 9,154 (12.0%) individuals had physical disability. Gastric cancer incidence was more common in participants with physical disability (3.3%) than those without (2.4%). A higher risk of gastric cancer incidence was found in elderly T2DM patients with physical disability (Hazard Ratio (HR) 1.18, 95% Confidence Interval (95% CI) 1.04-1.34). Such tendencies were maintained regardless of region, although the effect of physical disability status on gastric cancer incidence was particularly significant in individuals residing in non-metropolitan areas (HR: 1.19, 95% CI: 1.01-1.40). CONCLUSION: Elderly patients with T2DM who had physical disability showed a higher risk of gastric cancer incidence. The findings suggest a need to monitor elderly T2DM patients with disability as they may be susceptible to difficulties in accessing cancer-related healthcare.

Risk factors for hyperglycemia in COVID-19 patients treated with remdesivir.

The primary objective of this study was to investigate the factors contributing to hyperglycemic adverse events (AEs) associated with the administration of remdesivir in hospitalized patients diagnosed with coronavirus disease 2019 (COVID-19). Furthermore, the study aimed to develop a risk score model employing various machine learning approaches. A total of 1262 patients were enrolled in this investigation. The relationship between covariates and hyperglycemic AEs was assessed through logistic regression analysis. Diverse machine learning algorithms were employed for the purpose of forecasting hyperglycemia-related complications. After adjusting for covariates, individuals with a body mass index ≥23 kg/m2 , those using proton pump inhibitors, cholinergic medications, or individuals with cardiovascular diseases exhibited approximately 2.41-, 2.73-, 2.65-, and 1.97-fold higher risks of experiencing hyperglycemic AEs (95% CI 1.271-4.577, 1.223-6.081, 1.168-5.989, and 1.119-3.472, respectively). Multivariate logistic regression, elastic net, and random forest models displayed area under the receiver operating characteristic curve values of 0.65, 0.66, and 0.60, respectively (95% CI 0.572-0.719, 0.640-0.671, and 0.583-0.611, respectively). This study comprehensively explored factors associated with hyperglycemic complications arising from remdesivir administration and, concurrently, leveraged a range of machine learning methodologies to construct a risk scoring model, thereby facilitating the tailoring of individualized remdesivir treatment regimens for patients with COVID-19.

Area-level deprivation and handwashing behavior during the COVID-19 pandemic: A multilevel analysis on a nationwide survey in Korea.

This study investigated the association between area deprivation level and performance of handwashing behavior during the COVID-19 pandemic in Korean adults. This study used data from the 2015 Population and Housing Census data to measure area deprivation level. The 2020 Korea Community Health Survey was used for all other variables, including hand hygiene behavior (August through November 2020). The association between area deprivation level and practice of handwashing behavior was examined using multilevel logistic regression analysis. The study population comprised 215,676 adults aged 19 years or above. Compared to the least area deprived group, the most deprived group was more likely to not wash hands after using the restroom (OR 1.43, 95% CI 1.13-1.82), after coming home (OR 1.85, 95% CI 1.43-2.39), and using soap (OR 1.55, 95% CI 1.29-1.84). The findings suggest the importance of considering area deprivation in implementing policies that promote handwashing, particularly during a pandemic.

Patients with diabetes in regions with population decline and likelihood of receiving diabetes management education and screenings for related complications in Korea.

OBJECTIVE: Many municipal districts in Korea face population decline owing to overall population decreases and aging. We investigated the association between geographic rurality and likelihood of receiving diabetes management education and diabetic retinopathy and diabetes-related kidney disease screenings among adults with diabetes. METHODS: Patient data were obtained from the 2021 Korea Community Health Survey (27,391 individuals; aged ≥19 years and physician-diagnosed with diabetes mellitus). Geographic rurality was categorized based on population decline as follows: with, at risk of, or without population decline. The association between geographic rurality and likelihood of receiving diabetes management education and diabetic retinopathy and diabetes-related kidney disease screenings was examined using multilevel logistic regression analyses. RESULTS: Among 27,391 patients with diabetes, 31.1% received diabetes education; 40.0% and 46.4% were screened for diabetic retinopathy and diabetes-related kidney disease, respectively. Individuals residing in regions with population decline were less likely to receive diabetes education (odds ratio [OR] 0.62, 95% CI 0.50-0.75) and diabetic retinopathy (OR 0.79, 95% CI 0.70-0.90) and diabetes-related kidney disease (OR 0.64, 95% CI 0.55-0.75) screenings, as compared with their counterparts. CONCLUSIONS: Our findings highlight the importance of increased monitoring and providing diabetes education and screenings for patients with diabetes living in rural areas.

The effect of the introduction of the national lung cancer screening program on short-term mortality in Korea.

BACKGROUND: South Korea introduced the National Lung Cancer Screening Program (NLCSP) in 2019. This study investigated the effect of the NLCSP on one-year mortality in individuals with a history of lung cancer. METHODS: This study used the 2018-2020 National Health Insurance Service claims data. The difference-in-differences approach was used to investigate the effect of participating in the NLCSP between the case and control groups before and after the intervention period. The case group included individuals aged between 54 and 74 years with a smoking history of ≥ 30 pack-years and the control group those aged between 54 and 74 years with a history of smoking of <30 pack-years and non-smokers. The pre-intervention period was from January 2018 to June 2019 and the post-intervention period from July 2019 to December 2020. RESULTS: The introduction of the NLCSP was related to an overall decrease in one-year mortality (-3.21 % points, 95 % Confidence Interval (CI) -4.84 to -1.58). Specifically, this reduction was significant for lung cancer related mortality (lung cancer: -2.69 % points, 95 % CI -4.24 to -1.13). Furthermore, stronger associations were found in individuals of older age, residing in non-metropolitan areas, and who visited healthcare institutions in non-metropolitan areas. CONCLUSION: The findings confirm a relationship between implementation of the NLCSP and one-year mortality in eligible individuals with a history of lung cancer, which is noteworthy considering that Korea is one of the first countries to include lung cancer into the national cancer screening program.

Machine Learning Approaches for Assessing Risk Factors of Adrenal Insufficiency in Patients Undergoing Immune Checkpoint Inhibitor Therapy.

Adrenal insufficiency is a rare, yet life-threatening immune-related adverse event of immune checkpoint inhibitors (ICIs). This study aimed to establish a risk scoring system for adrenal insufficiency in patients receiving anti-programmed cell death 1 (PD-1) or anti-programmed cell death-ligand 1 (PD-L1) agents. Moreover, several machine learning methods were utilized to predict such complications. This study included 209 ICI-treated patients from July 2015 to February 2021, excluding those with prior adrenal insufficiency, previous steroid therapy, or incomplete data to ensure data integrity. Patients were continuously followed up at Gyeongsang National University Hospital, with morning blood samples taken for basal cortisol level measurements, facilitating a comprehensive analysis of their adrenal insufficiency risk. Using a chi-squared test and logistic regression model, we derived the odds ratio and adjusted odds ratio (AOR) through univariate and multivariable analyses. This study utilized machine learning algorithms, such as decision trees, random forests, support vector machines (SVM), and logistic regression to predict adrenal insufficiency in patients treated with ICIs. The performance of each algorithm was evaluated using metrics like accuracy, sensitivity, specificity, precision, and the area under the receiver operating characteristic curve (AUROC), ensuring rigorous assessment and reproducibility. A risk scoring system was developed from the multivariable and machine learning analyses. In a multivariable analysis, proton pump inhibitors (PPIs) (AOR 4.5), and α-blockers (AOR 6.0) were significant risk factors for adrenal insufficiency after adjusting for confounders. Among the machine learning models, logistic regression and elastic net showed good predictions, with AUROC values of 0.75 (0.61-0.90) and 0.76 (0.64-0.89), respectively. Based on multivariable and machine learning analyses, females (1 point), age ≥ 65 (1 point), PPIs (1 point), α-blockers (2 points), and antipsychotics (3 points) were integrated into the risk scoring system. From the logistic regression curve, patients with 0, 1, 2, 4, 5, and 6 points showed approximately 1.1%, 2.8%, 7.3%, 17.6%, 36.8%, 61.3%, and 81.2% risk for adrenal insufficiency, respectively. The application of our scoring system could prove beneficial in patient assessment and clinical decision-making while administering PD-1/PD-L1 inhibitors.

The impact of the incidence of diabetic complications on mortality in colorectal cancer patients with diabetes: A nationwide study.

PURPOSE: The prevalence of diabetes is higher in patients with colorectal cancer, which is important because diabetes is recognized as a risk factor for increased mortality. This study investigated the impact of incident diabetes-related complications on all-cause five-year mortality in older aged colorectal cancer patients with diabetes. METHODS: The 2008 to 2019 National Health Insurance Service data on the elderly were used to identify patients with colorectal cancer aged 60 years or above diagnosed with type 2 diabetes mellitus. The outcome measure was all-cause five-year mortality. The main independent variable was incident status of diabetes-related complications using the Diabetes Complications Severity Index (DCSI). Survival analyses were performed using the Cox proportional hazards model, in addition to the calculation of risk differences. Subgroup analysis was conducted based on the type of complication and DCSI scores. RESULTS: Among 1,312 individuals, 319 (24.3%) died within five years after one year of a cancer diagnosis. The risk of mortality was higher in patients with diabetes and cancer having incident diabetes-related complications (Hazard Ratio 1.29, 95% Confidence Interval 1.03-1.63). These tendencies were generally maintained regardless of the type of complication and DCSI scores. CONCLUSION: The incidence of diabetes-related complications after cancer diagnosis was associated with an increased risk of all-cause five-year mortality in older patients with colorectal cancer and preexisting diabetes.

Public perception of the appropriateness of COVID-19 management strategies and level of disturbances in daily activities: A focus on educational level.

BACKGROUND: This study investigated the association between public perception of the appropriateness of management strategies implemented during the COVID-19 pandemic and the level of disturbances in daily activities reported by the general population. METHODS: This cross-sectional study used Korea Community Health Survey conducted from August to November 2020. Public perception of COVID-19 management strategies included those implemented by the government (central, city or provincial, and administrative districts), the mass media, regional medical institutions, and neighbors. The subjective level of disturbances in daily activities was measured using a 0-100 numeric rating scale developed by Korea Disease Control and Prevention Agency. Multivariable linear regression analysis was used. A subgroup analysis was conducted based on education level. RESULTS: The present study analyzed 211,353 participants. Compared to individuals who perceived that the management strategies implemented during the pandemic was 'highly appropriate,' those who reported 'mediocre appropriateness' (ß: -1.96, p-value: <0.001) or 'low appropriateness' (ß: -3.60, p-value: 0.010) reported higher levels of subjective disturbances. The appropriateness of measures implemented by the mass media was associated with levels of subjective disturbances felt by individuals of lower education with statistical significance, whereas that applied by the mass media and the government were important in those with higher education. CONCLUSIONS: The findings suggest the importance of public perception of management strategies when implementing containment policies and minimizing its disturbances on daily lives is essential.

Changes in cervical dysplasia, carcinoma in situ, and cervical cancer after expanding the National Cancer Screening Program to younger women in Korea.

The National Cancer Screening Program of South Korea for cervical cancer was expanded from women aged ≥30 years to women aged ≥20 years in 2016. This study investigated the effect of this policy on occurrence rates of cervical dysplasia, carcinoma in situ, and cervical cancer in women in their twenties. The National Health Information Database for the years 2012-19 was used. The outcome measures were monthly occurrence rates of cervical dysplasia, cervical carcinoma in situ, and cervical cancer. An interrupted time series analysis was performed to investigate whether the number of occurrences changed after policy implementation. For cervical dysplasia, a pre-intervention decreasing trend of 0.3243 per month (P-value < .0001) was found. The post-intervention trend did not differ significantly, although the slope increased at a rate of 0.4622 per month (P-value < .0001). For carcinoma in situ, a trend of increase at 0.0128 per month (P-value = .0099) was seen before policy implementation. The post-intervention trend did not escalate, but the slope showed an increasing trend of 0.0217 per month (P-value < .0001). For cervical cancer, no significant trend was present before intervention. Occurrences of cervical cancer escalated at a rate of 0.0406 per month (P-value < .0001) after policy implementation, and the slope also showed an increasing trend at a rate of 0.0394 per month (P-value < .0001). Expanding the target population for cervical cancer screening increased detection rates for cervical cancer in women aged between 20 and 29 years.

Association between SYVN1 and SEL1 genetic polymorphisms and remission in rheumatoid arthritis patients treated with TNF-α inhibitors: a machine learning approach.

Rheumatoid arthritis (RA) is a severe chronic inflammatory condition that affects joint synovium. Suppressor/enhancer of lin-12-like (SEL1L)-Synoviolin 1 (SYVN1)-mediated endoplasmic reticulum-associated degradation (ERAD) is highly associated with RA development. Although targeting SEL1L-SYVN1-mediated ERAD can be beneficial, studies that evaluate the association between polymorphisms in their genes and remission from the disease in RA patients taking tumor necrosis factor (TNF)-α inhibitors have yet to be carried out. Hence, the purpose of this study was to investigate the association between SYVN1 and SEL1L polymorphisms and TNF-α inhibitor response using various machine learning models. A total of 12 single-nucleotide polymorphisms (SNPs), including 5 SNPs in SYVN1 and 7 SNPs of SEL1L were investigated. Logistic regression analysis was used to examine the relationship between genetic polymorphisms and response to treatment. Various machine learning methods were employed to evaluate factors associated with remission in patients receiving TNF-α inhibitors. After adjusting for covariates, we found that sulfasalazine and rs2025214 in SEL1L increase the remission rates by approximately 3.3 and 2.8 times, respectively (95% confidence intervals 1.126-9.695 and 1.074-7.358, respectively). Machine learning approaches showed acceptable prediction estimates for remission in RA patients receiving TNF-α inhibitors, with the area under the receiver-operating curve (AUROC) values ranging from 0.60 to 0.65. A polymorphism of the SEL1L gene (rs2025214) and sulfasalazine were found to be associated with treatment response in RA patients receiving TNF-α inhibitors. These preliminary data could be used to tailor treatment for RA patients using TNF-α inhibitors.

Impact of Disability Status on Mortality in Patients with Gastric Cancer: A Nationwide Study Focusing on Regional Disparities.

BACKGROUND: Disparities in mortality according to disability status require investment, as individuals with disabilities form the largest subset of the vulnerable population. This study aimed to investigate the association between mortality and disability status in patients with gastric cancer as well as how regional disparities modify this relationship. METHODS: Data were obtained from the National Health Insurance claims database in South Korea for the period of 2006-2019. The outcome measures were all-cause 1-year, 5-year, and overall mortality. The main variable of interest was disability status, categorized into "no disability", "mild disability", and "severe disability". A survival analysis based on the Cox proportional hazards model was conducted to analyze the association between mortality and disability status. Subgroup analysis was conducted according to region. RESULTS: Of the 200,566 study participants, 19,297 (9.6%) had mild disabilities, and 3243 (1.6%) had severe disabilities. Patients with mild disabilities had higher 5- and overall mortality risks, and those with severe disabilities had higher 1-year, 5-year, and overall mortality risks than those without disabilities. These tendencies were generally maintained regardless of the region, but the magnitude of the differences in the mortality rates according to disability status was higher in the group residing in non-capital regions than in the group living in the capital city. CONCLUSION: Disability status was associated with all-cause mortality in patients with gastric cancer. The degree of the differences in mortality rates among those with "no disability", "mild disability", and "severe disability" was augmented in the group residing in non-capital regions.

The association between night eating syndrome and health-related quality of life in Korean adults: a nationwide study.

PURPOSE: Quality of life may be influenced by the presence of eating disorders. This study investigated the association between night eating syndrome (NES) and health-related quality of life in the general population. METHODS: Data were from the 2019 Korea Community Health Survey. The presence of NES was determined using the Night Eating Questionnaire. Health-related quality of life was measured using the 3-level EuroQoL-5 Dimension Index. Multivariable linear regression analyses assessed the association between NES and health-related quality of life. Subgroup analyses were performed based on daily sleep duration. RESULTS: A total of 34,434 individuals aged 19 years or older were included in the study population. Participants with NES (ß = - 4.85, p < 0.001) reported poorer health-related quality of life scores than those without NES. Decreases in health-related quality of life scores among those with NES were greatest in those who slept over 8 h daily (ß = - 12.03, p = 0.004), followed by those who slept less than 6 h (ß = - 5.90, p = 0.006) and participants who slept between 6 and 8 h (ß = - 3.40, p = 0.026) daily. CONCLUSION: Individuals with NES were more likely to have a lower health-related quality of life than those without NES. These findings highlight the potential importance of considering NES in investigating the health-related quality of life. LEVEL OF EVIDENCE: Level III, well-designed case-control analytic studies.

Did the increase in sitting time due to COVID-19 lead to obesity in adolescents?

INTRODUCTION: Since adolescent with obesity is closely linked with the incidence of cardiovascular disease, it is important to identify the factors that increase the prevalence of adolescent with obesity and prevent it early. This study aimed to examine which of the demographic and lifestyle factors including sitting hours per week for purposes other than study had the greatest influence on Korean adolescents with obesity during the coronavirus disease 2019 (COVID-19) pandemic. METHODS: We used the Korean Youth Risk Behavior Web-based Survey (KYRBWS) data. The primary outcome was the relationship between sitting hours and obesity during and after the COVID-19 pandemic. Multiple logistic regression analysis was performed to examine which of the demographic and lifestyle factors including sitting hours per week for purposes other than study had the greatest influence on Korean adolescents' obesity status. RESULTS: The prevalence of obesity was significantly higher during the COVID-19 than before the COVID-19 (OR, 1.268, CI:1.232-1.305). There was a significant increase in the OR for sitting hours per week for purposes other than study (OR, 1.021, 95% CI, 1.019-1.024). Compared to low household income, the OR decreased for middle (OR = 0.798, 95% CI:0.77, 0.826) and high-income household students (OR, 0.833, 95% CI: 0.803-0.865). DISCUSSION/CONCLUSION: The results of this study confirmed the relationship between sit-ting hours and obesity in adolescents during the pandemic. To prevent adolescent with obesity, further studies are needed to focus on the importance of promoting health policy in adolescents to avoid the continuous rising of its prevalence and needed to understand whether the increase in obesity rates during the pandemic is a temporary trend.

Is COVID-19 induced reductions in the level of physical activity associated with increased depressive symptoms in patients with hypertension?

BACKGROUND: Studies have reported that the coronavirus 2019 (COVID-19) outbreak led to reduced levels of physical activity, but this has been rarely studied in patients with hypertension. This study investigated the association between depressive symptoms and changes in physical activity of patients with hypertension during the COVID-19 outbreak. METHODS: Data were from the Korea Community Health Survey (KCHS), conducted between August to November 2020. The KCHS is a nationwide cross-sectional survey that evaluates information on various sociodemographic, economic, and health related variables. Depressive symptoms were measured using the Patient Health Questionnaire-9. Physical activity was measured using a questionnaire inquiring whether participants experienced any changes in physical activity after the pandemic. The association between depressive symptoms and changes in physical activity level were analyzed using a multivariable logistic regression analysis. RESULTS: Out of 55,203 patients, 39.6% responded that they had experienced lower levels of physical activity due to the pandemic and showed increased likelihoods of depressive symptoms (OR 1.33, 95% CI 1.14-1.54) than individuals who responded that they had performed similar levels of physical activity. This tendency was stronger in patients that did not receive treatment for hypertension (OR 2.07, 95% CI 1.02-4.23) than those who did receive treatment with marginal significance (p-value of interaction term: 0.1241). CONCLUSIONS: Decreased levels of physical activity due to the outbreak was experienced by a noticeable proportion of patients with hypertension and was associated with increased likelihoods of depressive symptoms.

Impact of the Introduction of a Public Taxi Ride in Rural South Korea on Levels of Healthcare Utilization among Elderly Patients with Diabetes.

INTRODUCTION: A nine-cent public taxi ride service was introduced to improve public transportation in the rural county of Seocheon, which has an ageing population. This study investigated the effect of this policy on the levels of healthcare utilization in individuals with diabetes aged 65 years or above. METHODS: The Korea National Health Insurance System claims data from January 2006 to May 2013 (pre-intervention) and June 2013 to December 2014 (post-intervention) were used. The treatment group consisted of patients residing in Seocheon, and the control group consisted of patients residing in neighbouring areas with a similar demographic composition. The difference-in-difference approach was used to estimate differences in levels of healthcare utilization between the treatment and control groups before and after the intervention period. RESULTS: The introduction of public taxi transportation service was associated with an increase in outpatient visits. Specifically, the number of outpatient visits to public health centres increased, whereas those to tertiary hospitals decreased. The number of inpatient visits to general hospitals also increased. CONCLUSION: The results of this study confirm a relationship between the introduction of public taxi transportation services and increased healthcare utilization in older patients with diabetes in rural areas. These findings are noteworthy considering the importance of continuous care in managing chronic diseases.

Perceived social support and depressive symptoms during the COVID-19 pandemic: A nationally-representative study.

BACKGROUND: The COVID-19 pandemic and the associated containment policies have led to negative mental health consequences in the general population. AIMS: This study investigated the association between perceived social support and depressive symptoms in Korea. METHODS: Data from the Korea Community Health Survey conducted from August to November 2020 was used for this cross-sectional study. Depressive symptoms were measured using the Patient Health Questionnaire-9 (PHQ-9) and perceived social support was assessed based on the number of contacts that participants had identified as being available in case participants needed isolation due to COVID-19 exposure. This study included the general adult populations aged 19 years and older. The relationship between the perceived social support and depressive symptoms was analyzed using multivariable liner regression analysis. Subgroup analysis was conducted based on income. RESULTS: Analysis of the data obtained from 225,453 participants indicated that PHQ-9 scores were highest in the group with 'no' perceived social support, followed by 'low', 'middle', and 'high' perceived levels of social support. Compared to individuals with 'high' perceived social support, those with 'middle' (ß: .10, p-value <.001), 'low (ß: .07, p-value .010), and 'no' (ß: .34, p-value <.001) perceived levels of social support showed poorer depression scores. The magnitude of the relationship found was particularly strong in the low-income group. CONCLUSIONS: During the COVID-19 pandemic, individuals' depression scores varied according to their perceived level of social support. Strategies that address the need of vulnerable individuals are required to reduce the potentially negative mental health consequences of the pandemic.