Background: Lung cancer has a high incidence and mortality worldwide, and smoking, age, sex, and body mass index are known risk factors. Using a health examination cohort, we constructed a comprehensive lung cancer risk-prediction model. Methods: This study comprised 308,804 adults aged 20 years and older who underwent health examinations at one general hospital in Korea, from 2011 to 2018. We developed a lung cancer risk prediction model using a multivariate Cox proportional hazards regression analysis for lung cancer risk factors and estimated the hazard ratios and coefficients. The model evaluation included discrimination and calibration assessments. Results: Among the 308,804 adults in the study cohort, there were 338 (0.11%) patients lung cancer, with 215 males (0.07% of 169,420 males) and 123 females (0.04% of 139,384 females). The prevalence of lung cancer was higher in males and females aged over 60 years. Age, sex, body mass index, and smoking behavior were identified as risk factors for lung cancer prevalence in this model through multivariate Cox proportional hazards analysis. The C-statistic of the development cohort was 0.785 (0.749, 0.821) and that of the validation cohort was 0.823 (0.769, 0.878). Conclusion Our lung cancer risk prediction model showed statistical significance, similar to previous prediction models, among variables that included young age, female sex, and body mass index. Future improvements should focus on population-wide applicability and associated health examination policies.

Background: Lung cancer has a high incidence and mortality worldwide, and smoking, age, sex, and body mass index are known risk factors. Using a health examination cohort, we constructed a comprehensive lung cancer risk-prediction model. Methods: This study comprised 308,804 adults aged 20 years and older who underwent health examinations at one general hospital in Korea, from 2011 to 2018. We developed a lung cancer risk prediction model using a multivariate Cox proportional hazards regression analysis for lung cancer risk factors and estimated the hazard ratios and coefficients. The model evaluation included discrimination and calibration assessments. Results: Among the 308,804 adults in the study cohort, there were 338 (0.11%) patients lung cancer, with 215 males (0.07% of 169,420 males) and 123 females (0.04% of 139,384 females). The prevalence of lung cancer was higher in males and females aged over 60 years. Age, sex, body mass index, and smoking behavior were identified as risk factors for lung cancer prevalence in this model through multivariate Cox proportional hazards analysis. The C-statistic of the development cohort was 0.785 (0.749, 0.821) and that of the validation cohort was 0.823 (0.769, 0.878). Conclusion Our lung cancer risk prediction model showed statistical significance, similar to previous prediction models, among variables that included young age, female sex, and body mass index. Future improvements should focus on population-wide applicability and associated health examination policies.

Background: Lung cancer has a high incidence and mortality worldwide, and smoking, age, sex, and body mass index are known risk factors. Using a health examination cohort, we constructed a comprehensive lung cancer risk-prediction model. Methods: This study comprised 308,804 adults aged 20 years and older who underwent health examinations at one general hospital in Korea, from 2011 to 2018. We developed a lung cancer risk prediction model using a multivariate Cox proportional hazards regression analysis for lung cancer risk factors and estimated the hazard ratios and coefficients. The model evaluation included discrimination and calibration assessments. Results: Among the 308,804 adults in the study cohort, there were 338 (0.11%) patients lung cancer, with 215 males (0.07% of 169,420 males) and 123 females (0.04% of 139,384 females). The prevalence of lung cancer was higher in males and females aged over 60 years. Age, sex, body mass index, and smoking behavior were identified as risk factors for lung cancer prevalence in this model through multivariate Cox proportional hazards analysis. The C-statistic of the development cohort was 0.785 (0.749, 0.821) and that of the validation cohort was 0.823 (0.769, 0.878). Conclusion Our lung cancer risk prediction model showed statistical significance, similar to previous prediction models, among variables that included young age, female sex, and body mass index. Future improvements should focus on population-wide applicability and associated health examination policies.

Background: Lung cancer has a high incidence and mortality worldwide, and smoking, age, sex, and body mass index are known risk factors. Using a health examination cohort, we constructed a comprehensive lung cancer risk-prediction model. Methods: This study comprised 308,804 adults aged 20 years and older who underwent health examinations at one general hospital in Korea, from 2011 to 2018. We developed a lung cancer risk prediction model using a multivariate Cox proportional hazards regression analysis for lung cancer risk factors and estimated the hazard ratios and coefficients. The model evaluation included discrimination and calibration assessments. Results: Among the 308,804 adults in the study cohort, there were 338 (0.11%) patients lung cancer, with 215 males (0.07% of 169,420 males) and 123 females (0.04% of 139,384 females). The prevalence of lung cancer was higher in males and females aged over 60 years. Age, sex, body mass index, and smoking behavior were identified as risk factors for lung cancer prevalence in this model through multivariate Cox proportional hazards analysis. The C-statistic of the development cohort was 0.785 (0.749, 0.821) and that of the validation cohort was 0.823 (0.769, 0.878). Conclusion Our lung cancer risk prediction model showed statistical significance, similar to previous prediction models, among variables that included young age, female sex, and body mass index. Future improvements should focus on population-wide applicability and associated health examination policies.

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 and Objectives: This study aimed to evaluate the voice of patients with vocal cord palsy using the Praat compared to Speech tool.Materials and Method The medical record of the patients with vocal cord palsy from 2013 to 2021 was analyzed retrospectively to validate Praat as a voice evaluation modality compared to the speech tool. Total 60 patients were enrolled in this study. Thirty control and 30 vocal cord palsy patients were selected to undergo recording of voice samples. The voice samples, /a/ and “Sancheck” were evaluated both groups and cepstral peak prominence was analyzed with both modalities; Praat and speech tool. Results: Statistically significant differences were observed between the control and vocal cord palsy groups in the speech tool and Praat. There was also a significant difference between pre- and post-treatment values in the vocal cord palsy group. A similar change in the voice value was observed using both methods. The Praat showed a lower value in 1st visit of patients with vocal cord palsy in the vowel test. The Praat vowel test may sensitively represent voice problems in patients with vocal cord palsy. This could contribute to decision-making regarding the treatment modality for vocal cord palsy. Conclusion Praat is open-access software that is freely available. It can be easily and sufficiently used for voice evaluation in patients with vocal cord palsy.

Objective: Contact frequency with adult children plays a critical role in late-life depression. However, evidence on possible moderators of this association remains limited. Moreover, considering alterations in contact modes after the coronavirus disease-2019 pandemic, there is a need to investigate this association post-pandemic to develop effective therapeutic interventions. Methods: This study included 7,573 older adults who completed the Living Profiles of the Older People Survey in Korea. Participants’ contact frequency and depressive symptoms were analyzed. Regression analysis was performed after adjusting for covariates. The moderating effects of variables were verified using a process macro. Results: Multivariable logistic regression analysis revealed that infrequent face-to-face (odd ratio [OR]=1.86, 95% confidence interval [CI]=1.55–2.22) and non-face-to-face contact (OR=1.23, 95% CI=1.04–1.45) in the non-cohabitating adult children group was associated with a higher risk of late-life depression compared to that in the frequent contact group. Linear regression analysis indicated consistent results for face-to-face and non-face-to-face contact (estimate=0.458, standard error [SE]=0.090, p<0.001 and estimate=0.236, SE= 0.074, p=0.001, respectively). Moderation analysis revealed that the association between late-life depression and frequency of face-toface contact was moderated by age, household income quartiles, number of chronic diseases, physical activity frequency, presence of spouse, nutritional status, and whether the effect of frequency of non-face-to-face contact on late-life depression was increased by participation in social activity, frequent physical activity, and good cognitive function (p for interaction<0.05). Conclusion Frequent contact with non-cohabitating children lowers the risk of depression later in life. Several variables were identified as significant moderators of contact frequency and depression symptoms.

Purpose: Several studies have been conducted on the relationship between green tea intake and metabolic syndrome. However, compared to the studies carried out internationally, there is inadequate research on the relationship between domestic green tea consumption and metabolic syndrome. Therefore, in this study, the general characteristics of Koreans according to their green tea intake and its association with metabolic syndrome were examined. Methods: A total of 44,611 subjects were included in the study, and analysis was carried out using data from the Korean Genome and Epidemiology Study (KoGES) for Korean adults aged 40 or older. Green tea consumption was estimated using 106 verified food frequency questionnaires (FFQ). Metabolic syndrome was defined using the National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III) parameters. After adjusting for confounding variables by performing a Cox regression analysis, the association between green tea consumption and metabolic syndrome was confirmed through the hazard ratio (HR) and 95% confidence interval (CI). Results: The average incidence of metabolic syndrome was 18.7% (20.8% in men and 17.8% in women). Compared to those who drank almost no green tea, in subject groups consuming more than one cup of green tea a day, the metabolic syndrome incidence was significantly reduced by 15% (HR, 0.85; 95% CI, 0.74–0.96; p trend = 0.0200) among men and by 19% (HR, 0.81; 95% CI, 0.73–0.90; p trend < 0.0001) among women. In addition, the biomarkers related to metabolic syndrome also tended to decrease overall in these groups. Conclusion This study concluded that as the intake of green tea increased, the incidence of metabolic syndrome and related indicators decreased. Therefore, green tea intake is believed to have a positive effect on the prevention and management of the metabolic syndrome.

This study aimed to compare the pharmacokinetic (PK) and safety profiles of 2 fenofibric acid formulations under fasting and fed conditions. The reference was a 135 mg capsule, while the test was a 110 mg enteric-coated tablet. This randomized, open-label, two-sequence, two-period crossover phase 1 clinical trial was conducted in healthy Korean men. Sixty participants were enrolled in each of the fasting and feeding groups. Blood samples were collected 72 hours after drug administration. PK parameters were calculated using a noncompartmental method with Phoenix WinNonlin ® . A total of 53 and 51 participants from the fasting and feeding groups, respectively, completed the study. The geometric mean ratio and 90% confidence intervals of the maximum concentration (C max ) and area under the concentration-time curve to the last measurable plasma concentration were 0.9195 (0.8795–0.9614) and 0.8630 (0.8472–0.8791) in the fasting study and 1.0926 (1.0102–1.1818) and 0.9998 (0.9675–1.0332) in the fed study, respectively. The time to reach C max of the enteric-coated tablet compared to that of the capsule was extended by 1 and 3 hours under fasting and fed conditions, respectively. In conclusion, enteric-coated tablets have a higher bioavailability than capsules. In addition, the enteric-coated tablet was smaller than the capsule, making it easier for patients to swallow.

Many monogenic neurodevelopmental disorders have been newly identified in recent years owing to the rapid development of genetic sequencing technology. These include variants of the epigenetic machinery – up to 300 known epigenetic factors of which about 50 have been linked to specific clinical phenotypes. Chromodomain, helicase, DNA binding 1 (CHD1) is an ATP-dependent chromatin remodeler, known to be the causative gene of the autosomal dominant neurodevelopmental disorder Pilarowski-Bjornsson syndrome. Patients exhibit various degrees of global developmental delay, autism, speech apraxia, seizures, growth retardation, and craniofacial dysmorphism. We report the first case of Pilarowski-Bjornsson syndrome in Korea, due to a de novo missense variant of the CHD1 gene (c.862A>G, p.Thr288Ala) in a previously undiagnosed 17-yearold male. His infantile onset of severe global developmental delay, intellectual disability, speech apraxia, and failure to thrive are compatible with Pilarowski-Bjornsson syndrome. We also noted some features not previously reported in this syndrome such as skeletal dysplasia and ichthyosis. Further studies are needed to discover the specific phenotypes and pathogenic mechanisms behind this rare disorder.