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灰色关联分析在通过糖尿病患者认知功能、睡眠障碍及健康状况预测痴呆倾向中的应用

Application of Grey Relational Analysis to Predict Dementia Tendency by Cognitive Function, Sleep Disturbances, and Health Conditions of Diabetic Patients.

作者信息

Huang Chiung-Yu, Lin Yu-Ching, Lu Yung-Chuan, Chen Chun-I

机构信息

Nursing Department, I-Shou University, Kaohsiung 82445, Taiwan.

Department of Family Medicine and Physical Examination, E-Da Hospital, Kaohsiung 82445, Taiwan.

出版信息

Brain Sci. 2022 Nov 30;12(12):1642. doi: 10.3390/brainsci12121642.

Abstract

: The number of elderly diabetic patients has been increasing recently, and these patients have a higher morbidity of dementia than those without diabetes. Diabetes is associated with an increased risk for the development of dementia in elderly individuals, which is a serious health problem. : The primary aim was to examine whether diabetes is a risk factor for dementia among elderly individuals. The secondary aim was to apply grey theory to integrate the results and how they relate to cognitive impairments in elderly diabetic patients and to predict which participants are at high risk of developing dementia. : Two hundred and twenty patients aged 50 years or older who were diagnosed with diabetes mellitus were recruited. Information on demographics, disease characteristics, activities of daily living, Mini Mental State Examination, sleep quality, depressive symptoms, and health-related quality of life was collected via questionnaires. The grey relational analysis approach was applied to evaluate the relationship between the results and health outcomes. : A total of 13.6% of participants had cognitive disturbances, of whom 1.4% had severe cognitive dysfunction. However, with regard to sleep disorders, 56.4% had sleep disturbances of varying degrees from light to severe. Further investigation is needed to address this problem. A higher prevalence of sleep disturbances among diabetic patients translates to a higher degree of depressive symptoms and a worse physical and mental health-related quality of life. Furthermore, based on the grey relational analysis, the grey relation coefficient varies from 0.6217~0.7540. Among the subjects, Participant 101 had the highest value, suggesting a need for immediate medical care. In this study, we observed that 20% of the total participants, for whom the grey relation coefficient was 0.6730, needed further and immediate medical care.

摘要

近年来,老年糖尿病患者的数量一直在增加,这些患者患痴呆症的发病率高于非糖尿病患者。糖尿病与老年个体患痴呆症的风险增加有关,这是一个严重的健康问题。主要目的是研究糖尿病是否是老年个体患痴呆症的危险因素。次要目的是应用灰色理论整合结果以及它们与老年糖尿病患者认知障碍的关系,并预测哪些参与者患痴呆症的风险较高。招募了220名年龄在50岁及以上且被诊断患有糖尿病的患者。通过问卷调查收集了人口统计学、疾病特征、日常生活活动、简易精神状态检查、睡眠质量、抑郁症状和健康相关生活质量等信息。应用灰色关联分析方法评估结果与健康结局之间的关系。共有13.6%的参与者有认知障碍,其中1.4%有严重认知功能障碍。然而,关于睡眠障碍,56.4%的人有从轻度到重度不等的睡眠障碍。需要进一步调查来解决这个问题。糖尿病患者中睡眠障碍的患病率较高,这意味着抑郁症状的程度较高,身心健康相关生活质量较差。此外,基于灰色关联分析,灰色关联度系数在0.6217至0.7540之间变化。在这些受试者中,参与者101的值最高,这表明需要立即就医。在本研究中,我们观察到,在总参与者中,20%的灰色关联度系数为0.6730,需要进一步且立即的医疗护理。

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