Background: and Purpose: Voice, reflecting cerebral functions, holds potential for analyzing and understanding brain function, especially in the context of cognitive impairment (CI) and Alzheimer’s disease (AD). This study used voice data to distinguish between normal cognition and CI or Alzheimer’s disease dementia (ADD). Methods: This study enrolled 3 groups of subjects: 1) 52 subjects with subjective cognitive decline; 2) 110 subjects with mild CI; and 3) 59 subjects with ADD. Voice features were extracted using Mel-frequency cepstral coefficients and Chroma. Results: A deep neural network (DNN) model showed promising performance, with an accuracy of roughly 81% in 10 trials in predicting ADD, which increased to an average value of about 82.0%±1.6% when evaluated against unseen test dataset. Conclusions Although results did not demonstrate the level of accuracy necessary for a definitive clinical tool, they provided a compelling proof-of-concept for the potential use of voice data in cognitive status assessment. DNN algorithms using voice offer a promising approach to early detection of AD. They could improve the accuracy and accessibility of diagnosis, ultimately leading to better outcomes for patients.

Background: Since the emergence of hypervirulent strains of Clostridioides difficile, the incidence of C. difficile infections (CDI) has increased significantly. Methods: To assess the incidence of CDI in Korea, we conducted a prospective multicentre observational study from October 2020 to October 2021. Additionally, we calculated the incidence of CDI from mass data obtained from the Health Insurance Review and Assessment Service (HIRA) from 2008 to 2020. Results: In the prospective study with active surveillance, 30,212 patients had diarrhoea and 907 patients were diagnosed with CDI over 1,288,571 patient-days and 193,264 admissions in 18 participating hospitals during 3 months of study period; the CDI per 10,000 patientdays was 7.04 and the CDI per 1,000 admission was 4.69. The incidence of CDI was higher in general hospitals than in tertiary hospitals: 6.38 per 10,000 patient-days (range: 3.25–12.05) and 4.18 per 1,000 admissions (range: 1.92–8.59) in 11 tertiary hospitals, vs. 9.45 per 10,000 patient-days (range: 5.68–13.90) and 6.73 per 1,000 admissions (range: 3.18–15.85) in seven general hospitals. With regard to HIRA data, the incidence of CDI in all hospitals has been increasing over the 13-year-period: from 0.3 to 1.8 per 10,000 patient-days, 0.3 to 1.6 per 1,000 admissions, and 6.9 to 56.9 per 100,000 population, respectively. Conclusion The incidence of CDI in Korea has been gradually increasing, and its recent value is as high as that in the United State and Europe. CDI is underestimated, particularly in general hospitals in Korea.

Purpose: This systematic review and meta-analysis aimed to examine previous research on website and mobile application-based interventions for adolescents and young adults with depression and to evaluate their effectiveness on depressive symptoms. Methods: PubMed, EMBASE, and Cochrane Library CENTRAL databases were searched and 22 articles were identified from 16 randomized controlled trial studies. Results: The most frequently used intervention strategy was Internet-based cognitive behavioral therapy (ICBT). Most studies (n = 14) used websites. Two studies used mobile applications. Meta-analysis revealed a significant effect of overall website and mobile application-based interventions on depression at posttest. Subgroup meta-analyses showed that ICBT and website-based interventions had significant effects on depression at posttest. However, there was no significant effect at follow-up assessments. Conclusion Website and mobile application-based interventions, specifically ICBT, are recommended for adolescents and young adults with depression. Further randomized controlled trials conducting follow-up assessments are required to confirm their long-term effects.

This study aims to explore the impact of distributional changes in coronavirus disease 2019 (COVID-19) infection fear with sex differences. A quota sampling strategy was followed and 483 Korean adults were surveyed in a community sample. Self-report questionnaires were used to assess COVID-19 infection fear, depressive symptoms, and general characteristics.Quantile regression was used to explore the regression relationship of COVID-19 infection fear and an individual’s sex. There was a significant difference in COVID-19 infection fear (P= 0.001) and depression (P = 0.008) between the sexes - male and female. The differences between sexes at the 20th and 30th percentiles were significant (β = 2.04, P = 0.006; β = 1.5, P = 0.004, respectively). The results demonstrate that sex significantly predicts COVID-19 infection fear and women had significantly greater fear than men in the mild-level of COVID-19 infection fear.

Purpose: This study compares the snacking pattern, diet, lifestyle, and food preference of children by evaluating the most frequently eaten snacks. Methods: The survey enrolled 435 students from three elementary schools in Gyeonggi. Based on the most frequently eaten snacks, the subjects were divided into 3 groups: fruits and milk/dairy products for natural snacks (NS, n = 114); noodles, snack foods and fast foods for meal-like snacks (MS, n = 74); cookies, beverages and bread as sweet snacks (SS, n = 247). Results: Compared to the MS group, preferences of the NS group were significantly higher for jabgokbap (cooked rice with multi-grains, p < 0.05) and saengchae (seasoned raw vegetables, p < 0.01), and significantly lower for gogitwigim (deep-fried meat, p < 0.05). Taste preference of the NS group was considered to be more desirable; the taste preference of more subjects was ‘sweet taste’ in the SS group, ‘spicy taste’ in the MS group, ‘salty taste’ in the MS and SS groups, and ‘sour taste’ and ‘bland taste’ in the NS group than the other groups. Compared tothe MS and SS groups, the NS group was determined to exercise more frequently; exercising for more than 30 minutes/day was determined to be 76.3% in the NS group and 58.1% and 57.9% in the other groups (p < 0.01). Moreover, a higher proportion of subjects in the MS group tended to answer ‘not hungry’ as the reason for leaving school meals, as compared to other groups (p = 0.055), thereby suggesting that inappropriate snacking habits interfere with regular meals. Conclusion This study provides evidence that healthy snacking habits, which include natural snacks such as milk/dairy products and fruits, are important for children during the elementary school years, since these habits are associated with healthier diet, lifestyle, and food and taste preferences. These results provide basic information for developing nutritional education materials for elementary school children.

Background: Because persistent fever often occurs in adrenal insufficiency, it might be confused with infectious diseases. This study aimed to identify clinical characteristics and risk factors of patients with adrenal insufficiency and fever. Methods: All adult patients (n = 150) admitted to a tertiary care hospital in South Korea and diagnosed with adrenal insufficiency between 1 March 2018, and 30 June 2019, were recruited. Patients were excluded if they had: 1) proven structural problems in the adrenal or pituitary gland; 2) a history of chemotherapy within 6 months prior to the diagnosis of adrenal insufficiency; and 3) other medical conditions that may cause fever. Results: Among the included patients, 45 (30.0%) had fever at the time of the diagnosis of adrenal insufficiency. The mean C-reactive protein level was higher (11.25 ± 8.54 vs. 4.36 ± 7.13 mg/dL) in patients with fever than in those without fever. A higher proportion of patients with fever changed antibiotics (33.3% vs. 1.0%). On multivariate logistic regression analysis, female sex (odds ratio [OR], 0.32) lowered the risk of adrenal insufficiency with fever, while a history of surgery within 6 months (OR, 4.35), general weakness (OR, 7.21), and cough (OR, 17.29) were significantly associated with that. Conclusion The possibility of adrenal insufficiency should be considered in patients with fever of unknown origin, especially those with risk factors.

Background: Because persistent fever often occurs in adrenal insufficiency, it might be confused with infectious diseases. This study aimed to identify clinical characteristics and risk factors of patients with adrenal insufficiency and fever. Methods: All adult patients (n = 150) admitted to a tertiary care hospital in South Korea and diagnosed with adrenal insufficiency between 1 March 2018, and 30 June 2019, were recruited. Patients were excluded if they had: 1) proven structural problems in the adrenal or pituitary gland; 2) a history of chemotherapy within 6 months prior to the diagnosis of adrenal insufficiency; and 3) other medical conditions that may cause fever. Results: Among the included patients, 45 (30.0%) had fever at the time of the diagnosis of adrenal insufficiency. The mean C-reactive protein level was higher (11.25 ± 8.54 vs. 4.36 ± 7.13 mg/dL) in patients with fever than in those without fever. A higher proportion of patients with fever changed antibiotics (33.3% vs. 1.0%). On multivariate logistic regression analysis, female sex (odds ratio [OR], 0.32) lowered the risk of adrenal insufficiency with fever, while a history of surgery within 6 months (OR, 4.35), general weakness (OR, 7.21), and cough (OR, 17.29) were significantly associated with that. Conclusion The possibility of adrenal insufficiency should be considered in patients with fever of unknown origin, especially those with risk factors.

Objectives: This study explored the relationship between shift intensity and insomnia among hospital nurses. Methods: The participants were 386 female hospital nurses who underwent a special health examination for night workers in 2015. The Korean Insomnia Severity Index (ISI), indices of shift work intensity, and other covariates such as amount of exercise, level of alcohol consumption, employment duration, and hours worked were extracted from the health examination data. The indices for shift intensity were (1) number of 3 consecutive night shifts and (2) number of short recovery periods after a previous shift, both assessed over the prior 3 months. Multiple logistic regression analysis adjusted for the aforementioned covariates was performed to evaluate the association of shift intensity with insomnia, defined as an ISI score of ≥8. Results: The nurses with insomnia tended to be younger (p=0.029), to have worked 3 consecutive night shifts more frequently (p<0.001), to have experienced a greater number of short recovery periods after the previous shift (p=0.021), and to have worked for more hours (p=0.006) than the nurses without insomnia. Among the other variables, no statistically significant differences between groups were observed. Experiences of 3 or more consecutive night shifts (odds ratio [OR], 2.33; 95% confidence interval [CI], 1.29 to 4.20) and 3 or more short recovery periods (OR, 2.01; 95% CI, 1.08 to 3.73) were associated with increased odds of insomnia. Conclusions The results suggest that decreasing the shift intensity may reduce insomnia among hospital nurses working rotating shifts.