• Journal of the Korean Society of Physical Medicine
• /
• v.17 no.1
• /
• pp.93-108
• /
• 2022

PURPOSE: This review sought to confirm the correlation between dual-task gait and cognitive function in cognitively impaired and healthy older adults. METHOD: We used four databases (DBs), Pubmed, Cochrane library, Kmbase, and Koreamed. Searches were carried out according to the PICOS method, P (participants) were the elderly (above 65 years) with cognitive decline, I (intervention) was walking with dual tasks, C (control group) comprised the elderly without cognitive decline, O (outcome) was the correlation between gait and cognitive function and S (study) was the cross-sectional study. For the methodological quality assessment of each study, we used the Quality Assessment Tool for Observation Cohort and Cross-Sectional Studies provided by the National Institutes of Health (NIH). RESULTS: A total of 10 articles were included in this systematic review. For the components of gait, we used pace, rhythm, and variability and we observed that mild cognitive impairment mostly causes low gait performance while performing dual tasks. Among the 10 articles, 9 articles studied pace, of which 7 showed significant results. However, 2 were not significant. Also, 1 article that studied rhythm and 3 articles that studied variability showed significant results. The methodological quality of the 10 studies was fair. CONCLUSION: Gait pace was found to have a high correlation between memory, which is a cognitive ability, and overall cognitive function. It was observed that older adults with mild cognitive impairment have reduced gait pace in single-task walking, and further decrease in dual-task gait pace shows the correlation between memory and gait pace during walking.

• Genomics & Informatics
• /
• v.19 no.1
• /
• pp.11.1-11.8
• /
• 2021

For the novel coronavirus disease 2019 (COVID-19), predictive modeling, in the literature, uses broadly susceptible exposed infected recoverd (SEIR)/SIR, agent-based, curve-fitting models. Governments and legislative bodies rely on insights from prediction models to suggest new policies and to assess the effectiveness of enforced policies. Therefore, access to accurate outbreak prediction models is essential to obtain insights into the likely spread and consequences of infectious diseases. The objective of this study is to predict the future COVID-19 situation of Korea. Here, we employed 5 models for this analysis; SEIR, local linear regression (LLR), negative binomial (NB) regression, segment Poisson, deep-learning based long short-term memory models (LSTM) and tree based gradient boosting machine (GBM). After prediction, model performance comparison was evelauated using relative mean squared errors (RMSE) for two sets of train (January 20, 2020-December 31, 2020 and January 20, 2020-January 31, 2021) and testing data (January 1, 2021-February 28, 2021 and February 1, 2021-February 28, 2021) . Except for segmented Poisson model, the other models predicted a decline in the daily confirmed cases in the country for the coming future. RMSE values' comparison showed that LLR, GBM, SEIR, NB, and LSTM respectively, performed well in the forecasting of the pandemic situation of the country. A good understanding of the epidemic dynamics would greatly enhance the control and prevention of COVID-19 and other infectious diseases. Therefore, with increasing daily confirmed cases since this year, these results could help in the pandemic response by informing decisions about planning, resource allocation, and decision concerning social distancing policies.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.17 no.5
• /
• pp.548-556
• /
• 2016

Cognitive-linguistic changes that normally accompany aging are often simply an annoyance, but in some instances they may herald a more perilous course of decline to a state of neurological disease. This study investigated the correlation between subjective and objective tests on cognitive-linguistic abilities in older adults and the predictors of objective performances. Healthy elders over 65 years of age (n=63) and their informants (n=63) completed the subjective and objective cognitive-linguistic tests (ISCOLE and CAPTBI) from July of 2015 to February of 2016. The main findings were as follows: performance on the self-report test was not significantly different from that on the informant-report test. Additionally, eight domains in older adults group and 15 domains in the informants group were significantly associated with performance on the objective test. Finally, language on the informant-report test was a predictor of several abilities including problem solving and memory on the informant-report test predicted executive function and language. The present study demonstrates that two groups have significant differences in correlation between subjective and objective tests on the cognitive-linguistic abilities, and there are more relevant domains in rating by informants. These findings have implications for the use of cognitive-linguistic evaluation and preventive intervention in clinical settings.