A Study on the Predictive Model of Dementia

Autor: Jian-Kang Chao, 趙建剛
Rok vydání: 2004
Druh dokumentu: 學位論文 ; thesis
Popis: 92
In many countries, aging population is growing rapidly. As the proportion of the older Taiwanese population increases, it brings with it a potential increase in the prevalence of dementia. It also increases medical cost, social and economic problems, and results a great impact on family caregivers. A number of risk factors and possible intervention have been identified for different types of dementia in recent epidemic research. Thus, this study is significant in that it aims to utilize clinical data and identified risk factors to develop a new model in the prediction of dementia and explore prognostic indicators. 1. The present research has been conducted from March 2003 until January 2004. The participants came from Tainan in South Taiwan The criteria used in the selection of 139 voluntary and informed patients researched included: age over 65、association with health, psychiatric and nursing homes within the Tainan community、that participants have a level of cognizance which does not preclude understanding. 2. Data was processed and analyzed by multivariate analysis quantification theory type II. Seven variables were identified as influencing dementia. In order of greatest influence to least influence these variables were identified as: education level、age、vitamin use and history of depression、diabetes、hypertension. The scores from the sample group were analyzed using the 7 variables with a resulting significant hit of 83.45%. A score of less than -0.04 is a positive indicator of dementia. However, score more than -0.04 indicates no dementia in this case. These results identify rise factors and develop a model to predict dementia in these patients who fit into any of the seven categories identified. Prognoses are explored relative to the level of dementia observed in the patient.
Databáze: Networked Digital Library of Theses & Dissertations
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