Objectives: Lonely death is defined as “a person living in a state of social isolation, disconnected from family, relatives, and others, who dies from suicide, illness, or other causes”. This study investigated the characteristics of individuals who die alone in Korea. Methods: We constructed a database of lonely death cases by linking data from the Korea Crime Scene Investigation Unit of the Korea National Police Agency with National Health Insurance Service (NHIS) records. A descriptive analysis was performed to evaluate the demographics, underlying diseases, and healthcare utilization patterns among lonely death cases. Results: Among the 3122 individuals identified as lonely death cases, 2621 (84.0%) were male and 501 (16.0%) were female. The most common age group was 50-59 years (n=930, 29.8%). The NHIS covered 2161 individuals (69.2%), whereas 961 individuals (30.8%) were enrolled in Medical Aid (MA). The highest number of lonely deaths occurred in Seoul areas, with 1468 cases (47.0%). Mood disorders were diagnosed in 1020 individuals (32.7%), and various alcohol-related diseases, including alcoholic liver disease, were also observed. Outpatient visits increased leading up to death but declined in the final 3 months, while hospitalizations decreased and emergency room visits slightly increased. Conclusions Most lonely death cases involved male in their 50s, with a disproportionately high number of MA beneficiaries compared to the general population. Many of these individuals also experienced mental health issues or alcohol-related disorders. Preventing social isolation and strengthening social safety nets are critical to reducing the occurrence of lonely deaths.

Objectives: Lonely death is defined as “a person living in a state of social isolation, disconnected from family, relatives, and others, who dies from suicide, illness, or other causes”. This study investigated the characteristics of individuals who die alone in Korea. Methods: We constructed a database of lonely death cases by linking data from the Korea Crime Scene Investigation Unit of the Korea National Police Agency with National Health Insurance Service (NHIS) records. A descriptive analysis was performed to evaluate the demographics, underlying diseases, and healthcare utilization patterns among lonely death cases. Results: Among the 3122 individuals identified as lonely death cases, 2621 (84.0%) were male and 501 (16.0%) were female. The most common age group was 50-59 years (n=930, 29.8%). The NHIS covered 2161 individuals (69.2%), whereas 961 individuals (30.8%) were enrolled in Medical Aid (MA). The highest number of lonely deaths occurred in Seoul areas, with 1468 cases (47.0%). Mood disorders were diagnosed in 1020 individuals (32.7%), and various alcohol-related diseases, including alcoholic liver disease, were also observed. Outpatient visits increased leading up to death but declined in the final 3 months, while hospitalizations decreased and emergency room visits slightly increased. Conclusions Most lonely death cases involved male in their 50s, with a disproportionately high number of MA beneficiaries compared to the general population. Many of these individuals also experienced mental health issues or alcohol-related disorders. Preventing social isolation and strengthening social safety nets are critical to reducing the occurrence of lonely deaths.

Objectives: Lonely death is defined as “a person living in a state of social isolation, disconnected from family, relatives, and others, who dies from suicide, illness, or other causes”. This study investigated the characteristics of individuals who die alone in Korea. Methods: We constructed a database of lonely death cases by linking data from the Korea Crime Scene Investigation Unit of the Korea National Police Agency with National Health Insurance Service (NHIS) records. A descriptive analysis was performed to evaluate the demographics, underlying diseases, and healthcare utilization patterns among lonely death cases. Results: Among the 3122 individuals identified as lonely death cases, 2621 (84.0%) were male and 501 (16.0%) were female. The most common age group was 50-59 years (n=930, 29.8%). The NHIS covered 2161 individuals (69.2%), whereas 961 individuals (30.8%) were enrolled in Medical Aid (MA). The highest number of lonely deaths occurred in Seoul areas, with 1468 cases (47.0%). Mood disorders were diagnosed in 1020 individuals (32.7%), and various alcohol-related diseases, including alcoholic liver disease, were also observed. Outpatient visits increased leading up to death but declined in the final 3 months, while hospitalizations decreased and emergency room visits slightly increased. Conclusions Most lonely death cases involved male in their 50s, with a disproportionately high number of MA beneficiaries compared to the general population. Many of these individuals also experienced mental health issues or alcohol-related disorders. Preventing social isolation and strengthening social safety nets are critical to reducing the occurrence of lonely deaths.

Background: Although Korea ranks first in the suicide rate of elderly individuals, there is limited research on those who attempt suicide, with preventive measures largely based on population-based studies. We compared the demographic and clinical characteristics of elderly individuals who attempted suicide with those of younger adults who visited the emergency department after suicide attempts and identified the factors associated with lethality in the former group. Methods: Individuals who visited the emergency department after a suicide attempt from April 1, 2017, to January 31, 2020, were included. Participants were classified into two groups according to age (elderly, ≥65 years; adult, 18–64 years). Among the 779 adult patients, 123 were elderly. We conducted a chi-square test to compare the demographic and clinical features between these groups and a logistic regression analysis to identify the risk factors for lethality in the elderly group. Results: Most elderly participants were men, with no prior psychiatric history or suicide attempts, and had a higher prevalence of underlying medical conditions and attributed their attempts to physical illnesses. Being sober and planning suicide occurred more frequently in this group. In the elderly group, factors that increased the mortality rate were biological male sex (p<0.05), being accompanied by family members (p<0.05), and poisoning as a suicide method (p<0.01). Conclusion Suicide attempts in elderly individuals have different characteristics from those in younger adults and are associated with physical illness. Suicides in the former group are unpredictable, deliberate, and fatal. Therefore, tailored prevention and intervention strategies addressing the characteristics of those who are elderly and attempt suicide are required.

Purpose: This study aimed to compare mortality rates after discharge between the patients with non-ST-elevation myocardial infarction (NSTEMI) and those with ST-elevation myocardial infarction (STEMI), and identify each mortality risk factors in these two types of myocardial infarction. Materials and Methods: Between 2011 and 2015, 13105 consecutive patients were enrolled in the Korea Acute Myocardial Infarction-National Institute of Health registry (KAMIR-NIH); 12271 patients with acute myocardial infarction met the inclusion criteria and were further stratified into the STEMI (n=5828) and NSTEMI (n=6443) groups. The occurrence of mortality and cardiac mortality at 3 years were compared between groups, and the factors associated with mortality for NSTEMI and STEMI were evaluated. Results: The comparison between these two groups and long-term follow-up outcomes showed that the cumulative rates of allcause and cardiac mortality were higher in the NSTEMI group than in the STEMI group [all-cause mortality: 10.9% vs. 5.8%; hazards ratio (HR), 0.464; 95% confidence interval (CI), 0.359–0.600, p<0.001; cardiac mortality: 6.6% vs. 3.5%, HR, 0.474; 95% CI, 0.344–0.654, p<0.001, respectively). In the NSTEMI group, low left ventricular ejection fraction (LVEF; <40%), no percutaneous coronary intervention (PCI), old age (≥65 years), and low hemoglobin level (<12 g/dL) were identified as risk factors for 3-year mortality. In the STEMI group, old age, low glomerular filtration rate (<60 mL/min/1.73 m2 ), low LVEF, high heart rate (>100 beats/min), no PCI, and low hemoglobin level were identified as the risk factors for 3-year mortality. Conclusion The NSTEMI group had higher mortality compared to the STEMI group during the 3-year clinical follow-up after discharge. Low LVEF and no PCI were the main risk factors for mortality in the NSTEMI group. In contrast, old age and renal dysfunction were the risk factors for long-term mortality in the STEMI group.

Purpose: This study aimed to compare mortality rates after discharge between the patients with non-ST-elevation myocardial infarction (NSTEMI) and those with ST-elevation myocardial infarction (STEMI), and identify each mortality risk factors in these two types of myocardial infarction. Materials and Methods: Between 2011 and 2015, 13105 consecutive patients were enrolled in the Korea Acute Myocardial Infarction-National Institute of Health registry (KAMIR-NIH); 12271 patients with acute myocardial infarction met the inclusion criteria and were further stratified into the STEMI (n=5828) and NSTEMI (n=6443) groups. The occurrence of mortality and cardiac mortality at 3 years were compared between groups, and the factors associated with mortality for NSTEMI and STEMI were evaluated. Results: The comparison between these two groups and long-term follow-up outcomes showed that the cumulative rates of allcause and cardiac mortality were higher in the NSTEMI group than in the STEMI group [all-cause mortality: 10.9% vs. 5.8%; hazards ratio (HR), 0.464; 95% confidence interval (CI), 0.359–0.600, p<0.001; cardiac mortality: 6.6% vs. 3.5%, HR, 0.474; 95% CI, 0.344–0.654, p<0.001, respectively). In the NSTEMI group, low left ventricular ejection fraction (LVEF; <40%), no percutaneous coronary intervention (PCI), old age (≥65 years), and low hemoglobin level (<12 g/dL) were identified as risk factors for 3-year mortality. In the STEMI group, old age, low glomerular filtration rate (<60 mL/min/1.73 m2 ), low LVEF, high heart rate (>100 beats/min), no PCI, and low hemoglobin level were identified as the risk factors for 3-year mortality. Conclusion The NSTEMI group had higher mortality compared to the STEMI group during the 3-year clinical follow-up after discharge. Low LVEF and no PCI were the main risk factors for mortality in the NSTEMI group. In contrast, old age and renal dysfunction were the risk factors for long-term mortality in the STEMI group.

Glomerular filtration rate (GFR) is an important indicator of renal failure. However, regarding delta GFR in acute myocardial infarction (AMI) is rare. In this study, it was examined whether the delta GFR had an adverse effect on outcomes in patients with AMI and multivessel disease (MVD). Among 13,105 consecutive patients enrolled in the Korea Acute Myocardial Infarction–National Institute of Health registry, 2619 with AMI and MVD who underwent percutaneous cardiac intervention (PCI) were assigned to the better delta GFR (group I, n=1432 [54.7%]) or worse delta GFR (group II, n=1187 [45.3%]) groups and followed for 3 or more years. The mean age of group I was lower than that of group II (62.64±11.52 years vs. 64.29±11.64 years; p<0.001). On multivariate analysis, delta GFR (hazard ratio, 1.50; 95% confidence interval, 1.05-2.13; p=0.024) was a negative risk factor for adverse cardiac events. Age over 65 years (p< 0.001), history of MI (p=0.008), low hemoglobin (p<0.001), high triglyceride (p=0.008), low high-density lipoprotein cholesterol (p=0.002), and low left ventricular ejection fraction (LVEF) (p<0.001) were prognostic factors for major adverse cardiac events (MACE). In patients with a GFR <60 mL/min/1.73 m2, mortality was increased by 0.9% in the multivessel PCI group and 0.7% in the IRA-only PCI group at the 1-year follow-up. According to the 3-year clinical follow-up analysis, prognosis was better in better delta GFR patients with AMI and MVD who underwent PCI than in worse delta GFR patients.

OBJECTIVES: This study was performed to investigate the effects of aging on nasality and the influence of age-related changes in nasal cavity volume and nasal patency on nasality. METHODS: A total of 180 healthy Korean-speaking adult volunteers, who had no nasal or voice-related complaints, were enrolled in this study. Nasometry, acoustic rhinometry, and rhinomanometry were performed to obtain the nasalance score, nasal cavity volume, and nasal resistance, respectively. Changes in these parameters with age were analyzed. RESULTS: Nasal cavity volume increased significantly, and nasal resistance decreased significantly, with age. The nasalance scores for the nasal passage and oronasal passage decreased significantly with age, while there were no age-related changes in nasalance scores for the oral passage. CONCLUSION: Nasalance scores for the passages containing nasal consonants decreased with age although significant increases were observed in nasal cavity volume and nasal patency with age. Therefore, the age-related decreases in nasalance scores may result from factors other than changes in the nasal cavity.
Adult ; Aging ; Humans ; Nasal Cavity ; Rhinomanometry ; Rhinometry, Acoustic ; Voice Quality ; Volunteers

OBJECTIVE: Physical or mental imbalance caused by harmful stimuli can induce stress to maintain homeostasis. During chronic stress, the sympathetic nervous system is hyperactivated, causing physical, psychological, and behavioral abnormalities. At present, there is no accepted standard for stress evaluation. This review aimed to survey studies providing a rationale for selecting heart rate variability (HRV) as a psychological stress indicator. METHODS: Term searches in the Web of Science®, National Library of Medicine (PubMed), and Google Scholar databases yielded 37 publications meeting our criteria. The inclusion criteria were involvement of human participants, HRV as an objective psychological stress measure, and measured HRV reactivity. RESULTS: In most studies, HRV variables changed in response to stress induced by various methods. The most frequently reported factor associated with variation in HRV variables was low parasympathetic activity, which is characterized by a decrease in the high-frequency band and an increase in the low-frequency band. Neuroimaging studies suggested that HRV may be linked to cortical regions (e.g., the ventromedial prefrontal cortex) that are involved in stressful situation appraisal. CONCLUSION: In conclusion, the current neurobiological evidence suggests that HRV is impacted by stress and supports its use for the objective assessment of psychological health and stress.
Autonomic Nervous System ; Heart Rate* ; Heart* ; Homeostasis ; Humans ; National Library of Medicine (U.S.) ; Neuroimaging ; Stress, Psychological ; Sympathetic Nervous System

Red ginseng (Panax ginseng), a Korean traditional medicinal plant, contains a variety of ginsenosides as major functional components. It is necessary to remove sugar moieties from the major ginsenosides, which have a lower absorption rate into the intestine, to obtain the aglycone form. To screen for microorganisms showing bioconversion activity for ginsenosides from red ginseng, 50 yeast strains were isolated from Korean traditional meju (a starter culture made with soybean and wheat flour for the fermentation of soybean paste). Twenty strains in which a black zone formed around the colony on esculin-yeast malt agar plates were screened first, and among them 5 strains having high beta-glucosidase activity on p-nitrophenyl-beta-D-glucopyranoside as a substrate were then selected. Strain JNO301 was finally chosen as a bioconverting strain in this study on the basis of its high bioconversion activity for red ginseng extract as determined by thin-layer chromatography (TLC) analysis. The selected bioconversion strain was identified as Candida allociferrii JNO301 based on the nucleotide sequence analysis of the 18S rRNA gene. The optimum temperature and pH for the cell growth were 20~30degrees C and pH 5~8, respectively. TLC analysis confirmed that C. allociferrii JNO301 converted ginsenoside Rb1 into Rd and then into F2, Rb2 into compound O, Rc into compound Mc1, and Rf into Rh1. Quantitative analysis using high-performance liquid chromatography showed that bioconversion of red ginseng extract resulted in an increase of 2.73, 3.32, 33.87, 16, and 5.48 fold in the concentration of Rd, F2, compound O, compound Mc1, and Rh1, respectively.
Absorption ; Agar ; Base Sequence ; beta-Glucosidase ; Candida* ; Chromatography, Liquid ; Chromatography, Thin Layer ; Fermentation ; Flour ; Genes, rRNA ; Ginsenosides* ; Hydrogen-Ion Concentration ; Intestines ; Panax* ; Plants, Medicinal ; Soybeans ; Triticum ; Yeasts