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Analyzing Factors Affecting Cognitive Function in the Elderly using Computerized Neurocognitive Tests
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Joohee Shim, Seung Wan Kang
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J Korean Acad Community Health Nurs. 2017;28(2):107-117. Published online June 30, 2017
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DOI: https://doi.org/10.12799/jkachn.2017.28.2.107
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 Abstract
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- PURPOSE
The purpose of this study is to examine the cognitive function in the elderly and to identify the influencing factors.
METHODS
The design of this study was descriptive research design. A total of 139 elderly people (aged 65 years and over) visiting the electroencephalogram (EEG) center in Seoul, Korea were evaluated. Data were assessed by self-administered questionnaires and CNS Vital Signs (CNSVS). Data were analyzed using SPSS Statistics 23.0 for Windows.
RESULTS
There were significant differences in the Korean Mini-Mental State Examination (K-MMSE), executive functions and reasoning according to education level. K-MMSE, visual memory and executive functions were different depending on the jobs. Age was highly correlated with cognitive function. In addition, stepwise multiple regression analyses showed that the factor significantly associated with reaction time and visual memory was depression. Depression and Trait-Anxiety had significant impacts on executive functions and K-MMSE.
CONCLUSION
CNSVS enabled the accurate and objective measurement of cognitive function. Therefore, this study provides useful data to improve cognitive function of the community-dwelling elderly. The results suggested that there is need for comprehensive interventional programs that manage cognitive impairment.
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Citations
Citations to this article as recorded by  - Effects of an Eye-Tracking Linkage Attention Training System on Cognitive Function Compared to Conventional Computerized Cognitive Training System in Patients with Stroke
Sung-Jun Moon, Chan-Hee Park, Sang In Jung, Ja-Won Yu, Eun-Chul Son, Hye Na Lee, Hyeonggi Jeong, Sueun Jang, Eunhee Park, Tae-Du Jung
Healthcare.2022; 10(3): 456. CrossRef - A Longitudinal Study of Changes in Cognition Among Older Thais: Studying From the Kanchanaburi Demographic Surveillance System
Natchaphon Auampradit, Patama Vapattanawong, Sureeporn Punpuing, Malee Sunpuwan, Tawanchai Jirapramukpitak
Gerontology and Geriatric Medicine.2019; 5: 233372141986288. CrossRef
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