Olfactory impairment is associated with dementia and is a potential early biomarker of cognitive decline. We developed a novel olfactory threshold test called Sniff Bubble using rose odor-containing beads made with 2-phenylethyl alcohol. We aimed to define cut-off scores for this tool to help identify cognitive decline among elderly people. In total, 162 elderly people (mean age ± SD: 73.04 ± 8.73 years) were administered olfactory threshold and neurocognitive tests. For analyses, we divided the participants into two groups based on cognitive functioning, namely cognitive decline (n = 44) and normal cognition (n = 118) groups. The Sniff Bubble and YSK olfactory function test for olfactory threshold and the Structured Clinical Interview for DSM-5 Disorders-Clinician Version and Korean version of the Consortium to Establish a Registry for Alzheimer’s Disease assessment packet for neurocognitive functioning were used. We used K-means cluster analyses and receiver operating characteristic (ROC) analyses to identify the most appropriate cut-off value. We established a positive correlation between the Sniff Bubble and neurocognitive function test scores (r = 0.431, p < 0.001). We defined the cut-off score, using the ROC curve analyses for Sniff Bubble scores, at 3 and higher with an area under the curve of 0.759 (p < 0.001). The Sniff Bubble test can adequately detect cognitive decline in elderly people and may be used clinically as the first step in the screening process.

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Background Education on internet games for parents and internet game literacy are needed to prevent problematic internet game playing in Korea. We created an 18-item Internet Game Literacy Scale (IGLS). It is a valuable tool for assessing the positive and negative aspects of internet game play. We aimed to determine the validity of the IGLS and the cut-off for the tendency for internet gameplay. Methods An online research company gathered data from 300 participants. Factor analysis, including Cronbach's α and consistency coefficient, exploratory factor analysis, and confirmatory factor analysis were conducted to verify the 18 items of the IGLS. Additionally, a K-means cluster analysis was performed to determine the cut-off values for positive and negative IGLS scores. Results The 18 items of the IGLS were proven to be reliable, as evidenced by a high Cronbach's alpha (α = 0.892). The Kaiser-Meyer-Olkin measure of sampling adequacy was 0.903, and Bartlett's test of sphericity was good (χ 2 = 1,623.314, P < 0.001). All 18 items were segregated into two factors, with nine items each. The eigenvalue of all 18 items was significant at > 0.4. In the analysis of the validity of the 18-item IGLS with confirmatory factor analysis (CFA) (maximum likelihood estimation, with an oblique method), the fit indices of the standard three-factor model reached acceptable standards. The cut-off point of the total score between the low positive and average positive groups was 23, and the cut-off point of the total score between the average positive and high positive groups was 30. The cut-off point of the total score between the low negative and the average negative groups was 24. The cut-off point of the total score between the average negative group and the high negative group was 32. Conclusion The study assessed the reliability and validity of the IGLS and suggested a cut-off for low, average, and high Internet game literacy degree with 300 Korean adults aged 21–49 years. The current results suggest that the IGLS has good internal consistency and a proper cut-off for positive and negative internet game literacy degrees.

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Objective A detailed, well-validated scale for measuring emotional symptoms in menopausal women is lacking. We aimed to develop the Menopause Emotional Symptom Questionnaire (MESQ) and to confirm its reliability and validity among Koreans. Methods Eighteen primary items based on previous research results were selected using exploratory factor analysis and confirmatory factor analysis (CFA). New data, including answers to the novel MESQ, Menopause Rating Scale, Kupperman Index, Beck Depression Inventory-II, and Beck Anxiety Inventory, were collected from 200 perimenopausal women and 100 young men through a research company. Exploratory factor analysis and CFA were performed again to determine whether the MESQ accurately measures emotional symptoms in perimenopausal women. Receiver operating characteristic curve and k-means cluster analyses were used to identify the most appropriate cutoff value. Results The MESQ showed high internal consistency (Cronbach α = 0.926), and the CFA revealed that the factor structure comprised two subscales: nine items for mood/anxiety symptoms and four items for sleep symptoms. A high correlation between the total MESQ score and total scores of the existing scales was confirmed, indicating high convergence validity. Comparison of the mean MESQ scores between men and women showed significant sex difference, indicating secure known-group validity. The cutoff point of the total MESQ score between the high-risk and low-risk groups was 26. Conclusions The novel MESQ has high validity and reliability, and this study confirmed that the MESQ is a valid tool for screening for and measuring emotional symptoms in menopausal women in Korea.