Background: The study aim was to investigate the level of restrictions on daily life and concern about economic damage caused by the coronavirus disease 2019 (COVID-19) pandemic and analyze the effects on daily life satisfaction. Methods: 2021 Community Health Survey data of 229,242 individuals were analyzed. Such factors as restrictions on daily life, changes in physical activity and instant food consumption and concern about economic damage were selected as variables for analysis, as they were presumed to impact daily life satisfaction during the COVID-19 pandemic. Results: The odds ratio for poor daily life satisfaction was 1.88 (95% confidence interval [CI], 1.83–1.94) for those who experienced moderate restrictions and 3.48 (95% CI, 3.31–3.65) for those who experienced severe restrictions, compared to those who had no restrictions in daily life. The group with reduced physical activity had an odds ratio of 1.29 (95% CI, 1.26–1.33) for poor daily life satisfaction compared to the group with no change. The group with increased consumption of instant foods had an odds ratio of 1.23 (95% CI, 1.18–1.28) for poor daily life satisfaction compared to the group without such an increase. Regarding the economic damage caused by the COVID-19 pandemic, the odds ratio for experiencing negative daily life satisfaction was 1.17 (95% CI, 1.10–1.24) for those with moderate concern and 1.43 (95% CI, 1.37–1.50) for those with severe concern, compared to those who were not worried. Conclusion The results of this study could be helpful in planning public health and medical policies for population groups that are relatively vulnerable to decreased daily life satisfaction.

Background: The study aim was to investigate the level of restrictions on daily life and concern about economic damage caused by the coronavirus disease 2019 (COVID-19) pandemic and analyze the effects on daily life satisfaction. Methods: 2021 Community Health Survey data of 229,242 individuals were analyzed. Such factors as restrictions on daily life, changes in physical activity and instant food consumption and concern about economic damage were selected as variables for analysis, as they were presumed to impact daily life satisfaction during the COVID-19 pandemic. Results: The odds ratio for poor daily life satisfaction was 1.88 (95% confidence interval [CI], 1.83–1.94) for those who experienced moderate restrictions and 3.48 (95% CI, 3.31–3.65) for those who experienced severe restrictions, compared to those who had no restrictions in daily life. The group with reduced physical activity had an odds ratio of 1.29 (95% CI, 1.26–1.33) for poor daily life satisfaction compared to the group with no change. The group with increased consumption of instant foods had an odds ratio of 1.23 (95% CI, 1.18–1.28) for poor daily life satisfaction compared to the group without such an increase. Regarding the economic damage caused by the COVID-19 pandemic, the odds ratio for experiencing negative daily life satisfaction was 1.17 (95% CI, 1.10–1.24) for those with moderate concern and 1.43 (95% CI, 1.37–1.50) for those with severe concern, compared to those who were not worried. Conclusion The results of this study could be helpful in planning public health and medical policies for population groups that are relatively vulnerable to decreased daily life satisfaction.

Background: The study aim was to investigate the level of restrictions on daily life and concern about economic damage caused by the coronavirus disease 2019 (COVID-19) pandemic and analyze the effects on daily life satisfaction. Methods: 2021 Community Health Survey data of 229,242 individuals were analyzed. Such factors as restrictions on daily life, changes in physical activity and instant food consumption and concern about economic damage were selected as variables for analysis, as they were presumed to impact daily life satisfaction during the COVID-19 pandemic. Results: The odds ratio for poor daily life satisfaction was 1.88 (95% confidence interval [CI], 1.83–1.94) for those who experienced moderate restrictions and 3.48 (95% CI, 3.31–3.65) for those who experienced severe restrictions, compared to those who had no restrictions in daily life. The group with reduced physical activity had an odds ratio of 1.29 (95% CI, 1.26–1.33) for poor daily life satisfaction compared to the group with no change. The group with increased consumption of instant foods had an odds ratio of 1.23 (95% CI, 1.18–1.28) for poor daily life satisfaction compared to the group without such an increase. Regarding the economic damage caused by the COVID-19 pandemic, the odds ratio for experiencing negative daily life satisfaction was 1.17 (95% CI, 1.10–1.24) for those with moderate concern and 1.43 (95% CI, 1.37–1.50) for those with severe concern, compared to those who were not worried. Conclusion The results of this study could be helpful in planning public health and medical policies for population groups that are relatively vulnerable to decreased daily life satisfaction.

Background: The study aim was to investigate the level of restrictions on daily life and concern about economic damage caused by the coronavirus disease 2019 (COVID-19) pandemic and analyze the effects on daily life satisfaction. Methods: 2021 Community Health Survey data of 229,242 individuals were analyzed. Such factors as restrictions on daily life, changes in physical activity and instant food consumption and concern about economic damage were selected as variables for analysis, as they were presumed to impact daily life satisfaction during the COVID-19 pandemic. Results: The odds ratio for poor daily life satisfaction was 1.88 (95% confidence interval [CI], 1.83–1.94) for those who experienced moderate restrictions and 3.48 (95% CI, 3.31–3.65) for those who experienced severe restrictions, compared to those who had no restrictions in daily life. The group with reduced physical activity had an odds ratio of 1.29 (95% CI, 1.26–1.33) for poor daily life satisfaction compared to the group with no change. The group with increased consumption of instant foods had an odds ratio of 1.23 (95% CI, 1.18–1.28) for poor daily life satisfaction compared to the group without such an increase. Regarding the economic damage caused by the COVID-19 pandemic, the odds ratio for experiencing negative daily life satisfaction was 1.17 (95% CI, 1.10–1.24) for those with moderate concern and 1.43 (95% CI, 1.37–1.50) for those with severe concern, compared to those who were not worried. Conclusion The results of this study could be helpful in planning public health and medical policies for population groups that are relatively vulnerable to decreased daily life satisfaction.

Background: and Purpose Accurate classification of ischemic stroke subtype is important for effective secondary prevention of stroke. We used diffusion-weighted image (DWI) and atrial fibrillation (AF) data to train a deep learning algorithm to classify stroke subtype. Methods: Model development was done in 2,988 patients with ischemic stroke from three centers by using U-net for infarct segmentation and EfficientNetV2 for subtype classification. Experienced neurologists (n=5) determined subtypes for external test datasets, while establishing a consensus for clinical trial datasets. Automatically segmented infarcts were fed into the model (DWI-only algorithm). Subsequently, another model was trained, with AF included as a categorical variable (DWI+AF algorithm). These models were tested: (1) internally against the opinion of the labeling experts, (2) against fresh external DWI data, and (3) against clinical trial dataset. Results: In the training-and-validation datasets, the mean (±standard deviation) age was 68.0±12.5 (61.1% male). In internal testing, compared with the experts, the DWI-only and the DWI+AF algorithms respectively achieved moderate (65.3%) and near-strong (79.1%) agreement. In external testing, both algorithms again showed good agreements (59.3%–60.7% and 73.7%–74.0%, respectively). In the clinical trial dataset, compared with the expert consensus, percentage agreements and Cohen’s kappa were respectively 58.1% and 0.34 for the DWI-only vs. 72.9% and 0.57 for the DWI+AF algorithms. The corresponding values between experts were comparable (76.0% and 0.61) to the DWI+AF algorithm. Conclusion Our model trained on a large dataset of DWI (both with or without AF information) was able to classify ischemic stroke subtypes comparable to a consensus of stroke experts.

In clinical practice, primary healthcare physicians commonly encounter patients with alcohol-related problems. This review article introduces the concept of an alcohol clinic for treating patients with these issues at primary healthcare clinics.Current Concepts: Alcohol-related problems often give rise to health problems, which prompts primary healthcare physicians to be required to develop screening, treatment, and counseling skills. Primary healthcare clinics should actively screen for alcohol-related problems. Screening involves questions regarding the frequency, quantity, and maximum consumption of alcohol to determine risk levels. For Koreans, moderate alcohol consumption is defined as ≤8 drinks per week (1 drink=14 g of alcohol) for men aged up to 65 years, and ≤4 drinks per week for men over 65 years; consumption for women is set at half of the amount defined for men. Individuals experiencing facial flushing after alcohol consumption are advised to limit their alcohol intake to half the amount consumed by those who do not experience flushing.Discussion and Conclusion: The focus for these patients should be on their environment, particularly when implementing a family-oriented approach. The decision to initiate drug treatment should be based on the symptoms of the patient, with follow-up evaluations performed at appropriate time points. The “FRAMES Motivational Enhancement Interview” and “Insight Enhancement Counseling” are recommended for an effective counseling of patients.

Background: Coronavirus Disease 2019 (COVID-19) is a novel coronavirus identified in 2019 that exhibited an exceptionally rapid spread. Although the development and administration of COVID-19 vaccines progressed quickly, concerns about side effects and safety persisted. This study utilized data from the 2021 Community Health Survey to analyze the relationship between COVID-19 vaccination and psychosocial factors, including depression and subjective health status. Methods: Analysis included 203,449 individuals, excluding those who had not received or were ineligible for the COVID-19 vaccine, based on the 2021 Community Health Survey. The chi-square tests assessed sociodemographic and health status differences related to vaccination status. Subjective health status was categorized based on survey responses as ‘good’ or ‘poor,’ and depression was assessed using the self-reported Patient Health Questionnaire-9. The association between depression, subjective health status, and vaccination status was examined using chi-square tests, followed by multiple logistic regression to determine independent effects. Results: Vaccination rates were higher among the elderly, those with lower education, higher income, healthcare workers, and individuals with lower depression, higher subjective health, and chronic conditions like hypertension or diabetes. Significantly lower vaccination rates were observed in those with lower subjective health and Patient Health Questionnaire-9 scores ≥5 or ≥10. Among individuals with chronic illnesses, those with good subjective health had the lowest odds for non-vaccination (odds ratio=0.42; 95% confidence interval, 0.39-0.45), while those without chronic illnesses and poor subjective health had the highest odds (odds ratio=1.89; 95% confidence interval, 1.76-2.02). Conclusions This study found significantly higher odds ratios for vaccine non-receipt among individuals with lower levels of depression and subjective health status. Incorporating psychosocial factors such as depression and subjective health status may be crucial in developing strategies to enhance vaccination rates during future outbreaks of novel infectious diseases.

Objective: The impact of the government-initiated senior employment program (GSEP) on geriatric depressive symptoms is underexplored. Unearthing this connection could facilitate the planning of future senior employment programs and geriatric depression interventions. In the present study, we aimed to elucidate the possible association between geriatric depressive symptoms and GSEP in older adults. Methods: This study employed data from 9,287 participants aged 65 or older, obtained from the 2020 Living Profiles of Older People Survey. We measured depressive symptoms using the Korean version of the 15-item Geriatric Depression Scale. The principal exposure of interest was employment status and GSEP involvement. Data analysis involved multiple linear regression. Results: Employment, independent of income level, showed association with decreased depressive symptoms compared to unemployment (p<0.001). After adjustments for confounding variables, participation in GSEP jobs showed more significant reduction in depressive symptoms than non-GSEP jobs (β=-0.968, 95% confidence interval [CI]=-1.197 to -0.739, p<0.001 for GSEP jobs, β=-0.541, 95% CI=-0.681 to -0.401, p<0.001 for non-GSEP jobs). Notably, the lower income tertile in GSEP jobs showed a substantial reduction in depressive symptoms compared to all income tertiles in non-GSEP jobs. Conclusion The lower-income GSEP group experienced lower depressive symptoms and life dissatisfaction compared to non-GSEP groups regardless of income. These findings may provide essential insights for the implementation of government policies and community-based interventions.

BACKGROUND: Recent anti-cancer agents, immune checkpoint inhibitors (ICIs), have emerged as effective agents targeting the programmed cell death protein-1 (PD-1)/programmed death-ligand 1 (PD-L1) pathway. While the administration of gonadotropin-releasing hormone (GnRH) analogs before cytotoxic agents is known to preserve female reproductive organ function, the potential effects of ICIs and the protective impact of GnRH analogs on female reproductive organs, especially concerning ovarian reserve and endometrial receptivity, remain unknown. In this study, we attempted to elucidate the protective or regenerative effect on the female reproductive organ of cetrorelix prior to anti-PD-L1 antibody administration.METHOD: Using a murine model, we examined the effects of Anti-PD-L1 antibody treatment on ovarian and uterine morphology, compared them with controls, and further assessed any potential protective effect of cetrorelix, a GnRH analog. Histological examinations and quantitative reverse transcription polymerase chain reaction were employed to study the morphological changes and associated gene expression patterns. RESULTS: Anti-PD-L1 treatment led to a significant depletion of primordial/primary ovarian follicles and impaired decidualization in uterine stromal cells. However, while pretreatment with cetrorelix could restore normal decidualization patterns in the uterus, it did not significantly ameliorate ovarian follicular reductions. Gene expression analysis reflected these observations, particularly with marked changes in the expression of key genes like Prl and Igfbp1, pivotal in uterine decidualization. CONCLUSION Our study underscores the potential reproductive implications of cetrorelix treatment prior to Anti-PDL1 therapy, shedding light on its short-term protective effects on the uterus. Further studies are necessary to understand long-term and clinical implications.