• The Journal of Industrial Distribution & Business
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• v.11 no.7
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• pp.29-40
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• 2020

Purpose: In modern society, many urban problems are occurring, such as aging, hollowing out old city centers and polarization within cities. In this study, we intend to apply big data and machine learning methodologies to predict depression symptoms in the elderly population early on, thus contributing to solving the problem of elderly depression. Research design, data and methodology: Machine learning techniques used random forest and analyzed the correlation between CES-D10 and other variables, which are widely used worldwide, to estimate important variables. Dependent variables were set up as two variables that distinguish normal/depression from moderate/severe depression, and a total of 106 independent variables were included, including subjective health conditions, cognitive abilities, and daily life quality surveys, as well as the objective characteristics of the elderly as well as the subjective health, health, employment, household background, income, consumption, assets, subjective expectations, and quality of life surveys. Results: Studies have shown that satisfaction with residential areas and quality of life and cognitive ability scores have important effects in classifying elderly depression, satisfaction with living quality and economic conditions, and number of outpatient care in living areas and clinics have been important variables. In addition, the results of a random forest performance evaluation, the accuracy of classification model that classify whether elderly depression or not was 86.3%, the sensitivity 79.5%, and the specificity 93.3%. And the accuracy of classification model the degree of elderly depression was 86.1%, sensitivity 93.9% and specificity 74.7%. Conclusions: In this study, the important variables of the estimated predictive model were identified using the random forest technique and the study was conducted with a focus on the predictive performance itself. Although there are limitations in research, such as the lack of clear criteria for the classification of depression levels and the failure to reflect variables other than KLoSA data, it is expected that if additional variables are secured in the future and high-performance predictive models are estimated and utilized through various machine learning techniques, it will be able to consider ways to improve the quality of life of senior citizens through early detection of depression and thus help them make public policy decisions.

• The Journal of Korean Academy of Sensory Integration
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• v.17 no.1
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• pp.9-18
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• 2019

Objective : This study investigated the effect of intensive weight shift training (IWST) on the ability to balance in a sitting posture of children with spastic cerebral palsy (SCP). Methods : One child with spastic diplegia participated in this study for a total of 8 weeks using the ABA experimental design. For the pre-intervention period (A1), general physical therapy (GPT) for children with SCP was performed. The intervention period (B1 and B2), GPT and IWST were conducted for children with SCP, and GPT was conducted again for the post-intervention period (A'1 and A'2). Trunk control capacity was measured using the Korean Trunk Control Measurement Scale (TCMS-K) and Biorescue (RM Ingenierie, France). Results : All TCMS-K variables increased from A1 to B2, and decreased from B2 to A'2. The total area with limit of stability (LOS) increased from A1 to B2, and decreased from B2 to A'2. The ratio of the left/right (Lt/Rt) and anterior/posterior (Ant/Post) LOS area was closer to 1, meaning symmetry, in B2 than in A1. The ratio of the Lt/Rt LOS area decreased further from 1 in A'2 than in B2. The ratio of the Ant/Post LOS area was closer to 1 in A'2 than in B2. Conclusion : IWST had a positive effect on the improvement of balance in the sitting posture of a child with SCP. The results suggest that IWST might help to improve the balance abilities of children with SCP for independent sitting, postural control, and activities of daily living.

• PNF and Movement
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• v.16 no.3
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• pp.485-493
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• 2018

Purpose: This study provides a treatment for central nervous system development in patients with chronic stroke by investigating changes in the upper limb function over time. The correlations among the activities, participation, and environmental factors of the international classification of functioning (ICF), disability and health are also examined. Methods: The subjects of this study are 18 patients with chronic stroke who were hospitalized and treated at 00 hospital in the Chungcheongbuk-do province. Their upper extremity functions are evaluated using the manual function test (MFT). The activities, participation, and environmental factors are evaluated using the ICF generic form. The correlations between the total scores of the affected and unaffected sides and the ICF items are analyzed using the Pearson correlation analysis. The significance level is p<0.05. Results: When the correlations between the activities and participation areas of ICF and the total score of the affected side of MFT were examined, significant correlations (p<0.05) were found in the following items: changing basic body position (D410), lifting and carrying objects (D430), moving around using equipment (D465), using transportation (D470), washing oneself (D510), caring for body parts (D520), and dressing (D540). When the correlations between the activities and participation areas of ICF and the total score of the unaffected side of MFT were examined, significant correlations (p<0.05) were found among writing (D170), speaking (D330), eating (D550), and drinking (D560). In addition, when the correlation between the environment area of ICF and the total score of the unaffected side of the MFT were examined, significant correlations (p<0.05) were found between products and technology for personal use in daily living (E115) and immediate family (E310). Conclusion: The MFT of patients with chronic stroke is closely correlated with the activities, participation, and environmental factors of ICF. This result suggests that ICF can be used as a useful tool to comprehensively evaluate the abilities of the patient, including the upper extremity function.

• Journal of Korean Dental Science
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• v.16 no.2
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• pp.128-148
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• 2023

Dementia is an umbrella term that describes the loss of thinking, memory, attention, logical reasoning, and other mental abilities to the extent that it interferes with the activities of daily living. More than 50 million individuals worldwide live with dementia, which is expected to increase to 131 million by 2050. Recent research has shown that poor oral health increases the risk of dementia, while oral health declines with cognitive decline. In this narrative review, the literature was based on the "hypothesis" that dementia and oral health have a close relationship, and appropriate oral health and occlusal rehabilitation treatment can improve the quality of life of patients with dementia and prevent progression. We conducted a literature search in PubMed and Google Scholar databases, using the search terms "dementia," "major neurocognitive disorder," "dentition," "occlusion," "tooth loss," "dental prosthesis," "dental implant," and "occlusal rehabilitation" in the title field over the past 30 years. A total of 131 studies that scientifically addressed dementia, oral health, and/or oral rehabilitation were included. In a meta-analysis, the random effect model demonstrated significant tooth loss increasing the dementia risk 3.64-fold (pooled odds ratio=3.64, 95% confidence interval [2.50~5.32], P-value=0.0348). Tooth loss can be an important indicator of cognitive function decline. As the number of missing teeth increases, the risk of dementia increases. Loss of teeth can lead to a decrease in the ascending information to the brain and reduced masticatory ability, cerebral blood flow, and psychological atrophy. Oral microbiome dysbiosis and migration of key bacterial species to the brain can also cause dementia. Additionally, inflammation in the oral cavity affects the inflammatory response of the brain and the complete body. Conversely, proper oral hygiene management, the placement of dental implants or prostheses to replace lost teeth, and the restoration of masticatory function can inhibit symptom progression in patients with dementia. Therefore, improving oral health can prevent dementia progression and improve the quality of life of patients.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.12
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• pp.5684-5691
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• 2011

The purpose of this study is to examine effects of constraint-induced movement therapy(CIMT) and/or cognitive-perceptual training(CPT) on the change of hand function in cerebrovascular accident(CVA) patients and to evaluate the change in the amount and quality of use of the affected upper extremity in performing daily living tasks. The subjects of study were 10 patients who had been under rehabilitation for more than three months after CVA onset. They were all determined as mild cognition impairment according to NCSE or MVPT test. For CIMT group, to restrict the movement of the unaffected hand the subjects had been worn modified resting arm-splint in daytime for 4 weeks. For CIMT+CPT group, the subjects were performed CPT with CIMT and control group had been under conventional occupational therapy for the same period. CIMT+CPT group showed significant improvement in simulated feeding, lifting large light objects, and lifting large heavy objects of Jebsen-Taylor Hand Function Test. CIMT group also showed significant improvement compared with control group. The mean changes of the amount of use(AOU) of the affected arm had a statistically significant difference among groups (p<.05). While CIMT+CPT group had the biggest change in the quality of movement(QOM) of upper extremity of the affected side, CTL group showed the smallest change. Both CIMT and CIMT+CPT groups had statistically significant difference in the change in the quality of movement in upper extremity of affected side with CTL group(p<.05), but there was not significant difference between CIMT group and CIMT+CPT group. CIMT performed to the patients of stroke, with mild impairment in cognitive perceptual abilities showed the improvement in hand movement and AOU and QOM of upper extremity in the affected side and the combination of CIMT with CPT showed synergic effects.