Use Bayesian Approach to Analyze Depression and Diabetes Mellitus As Risk Factors of Dementia

• Main Authors: Ching-Yu Chang, 張欽喻
• Other Authors: Yen-Hsia Wen
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/31199059778140873949

碩士 === 高雄醫學大學 === 藥學系碩士在職專班 === 104 === Dementia is one of the causes of dependency among older people worldwide. It could be memory loss, confuse, and change their behavior. The risk factors of dementia have been searching in the world but unclear. This study used Bayesian approach to analysis two risk factors, include depression and diabetes mellitus, of dementia. We included 108,998 patients who aged 65 years or older. We observed older aged (OR=6.600) and female sex(OR=1.230) as independent risk factors for dementia. We observed that depression (OR =2.012), diabetes mellitus (OR =1.006), and both depression and diabetes mellitus (OR=2.024) were associated with an increased risk of dementia. We found that depression, diabetes mellitus, or both are associated with an increased risk of dementia among elderly population in Taiwan.