评估与年龄相关的认知表现;观察性试点研究

Aiman Khan, A. Ashraf, Huda Siddiqui, Khadija Ahmed, Fatima Ali, Laveeza Azam, Fariha Akbar, Humaira Bugti
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引用次数: 0

摘要

背景:据我们所知,巴基斯坦普通民众从未接受过与年龄相关的认知表现评估。我们的目的是使用迷你精神状态检查(MMSE)和迷你认知(Mini-Cog)来确定三个年龄段(即年轻人、中年人和老年人)的认知能力下降。方法:这项横断面研究是对200名受试者(包括男性和女性)进行的,他们根据年龄分为三组,即年轻人、中年人和老年人。对于认知评估,MMSE和Mini-Cog使用了预先确定的临界值。根据参与者对环境、记忆、言语的熟悉程度以及阅读或写作的能力,每个正确答案都得一分。使用SPSS 22.0版对收集的数据进行分析。结果:根据研究结果,MMSE表明2.5%的参与者有严重的认知障碍,23%的参与者有轻度的认知障碍。其中,23名参与者年龄在56至75岁之间,这表明老年人的认知能力下降加剧。年轻人的平均MMSE评分为26.58分,老年人的MMSE评分进一步降至24.06分。回归分析结果显示,年龄、职业负荷和教育水平是认知表现(MMSE评分较高)的独立预测因素(p<0.05)。除Mini-Cog评分外,只有教育和职业是显著的预测因素。结论:这项确定不同年龄组认知表现的试点研究产生了积极的结果。MMSE和Mini-Cog的研究结果具有可比性,表明与年龄相关的认知能力显著下降,男性比女性更为明显。然而,进一步的描述性研究可能有助于确定使用MMSE和Mini-Cog对认知能力进行适当和及时的筛查。
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Evaluating Age-related Cognitive performance; An Observational Pilot Study
Background: To the best of our knowledge, the general population of Pakistan has never been evaluated for age-related cognitive performance. We aimed to determine the decline in cognitive abilities using the Mini-Mental State Examination (MMSE) and Mini-Cognition (Mini-Cog) in the three age brackets, i.e. younger, middle-aged and older adults. Methodology: This cross-sectional study was conducted over a sample of 200 subjects (both male and female) divided into three different groups with respect to their age, i.e. younger, middle-aged and older adults. For cognitive assessment, MMSE and Mini-Cog were used with predetermined cut-off values. A point was scored for each correct answer based on the participant’s familiarization of environment, memory, speech, and ability to follow instructions to read or write. The collected data were analyzed using SPSS version 22.0. Results: Based on the study findings, MMSE suggested that 2.5% of participants had severe cognitive impairment, and 23% had mild cognitive impairment. Of these, 23 participants were in between 56 to 75 years of age, indicating increased cognitive decline among older adults. The mean MMSE score was 26.58 among young adults, which further decreased to 24.06 among older adults. The results of the regression analysis displayed that age, occupational load and educational levels were independent predictors of cognitive performances (higher MMSE score) (p<0.05). Besides for Mini-Cog scores, only education and occupation were the significant predictors. Conclusion: This pilot study determining the cognitive performance in different age groups yielded positive outcomes. Both MMSE and Mini-Cog findings were comparable and indicated that there was a significant age-related cognitive decline which was comparatively more pronounced among males than females. However, further descriptive studies might help in defining the appropriate and timely screening of cognitive abilities using MMSE and Mini-Cog.
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