Scanlan James M, Binkin Nancy, Michieletto Federica, Lessig Mary, Zuhr Elizabeth, Borson Soo
Psychiatry and Behavioral Sciences, Alzheimer's Disease Research Center, University of Washington, Seattle, WA, USA.
Am J Geriatr Psychiatry. 2007 Aug;15(8):716-24. doi: 10.1097/JGP.0b013e3180487cd7. Epub 2007 Jun 13.
To evaluate associations of cognitive impairment and disease burden with disability in an elderly population.
The Mini-Cog was used as a cognitive screen in a population-based survey of health and functional status of 2,192 randomly selected older adults (age 65+ years) in 11 regions of Italy. Associations of cognitive and disease measures with functional outcomes were calculated using hierarchical logistic regressions including age, Mini-Cog score, disease burden, age, education, and geographic region. Statistical significance was assigned at p <0.01.
Mini-Cog scores were related to all functional indicators (activities of daily living [ADLs], social activities, exercise, telephone and face-to-face conversation, urinary control, and ability to read the newspaper) as well as stroke, falls, and dementia diagnoses. In univariate analyses, low education was associated with Mini-Cog scores, disease burden, and disability. However, in logistic regressions, Mini-Cog score and disease burden, but not education, remained significant predictors of all basic ADLs and most higher-order functions. Functional disability was best predicted by a Mini-Cog cutoff score of 1 out of 5. Overall, although both are significant, the impact of cognitive impairment on basic ADL impairment was over four times greater than that of disease burden (accounting for 14% versus 3% of variance).
Cognitive impairment assessed by the Mini-Cog is a more powerful predictor of impaired ADLs than disease burden in older adults. The association of education with Mini-Cog score did not bias its ability to predict functional status. Results suggest that the Mini-Cog could be useful in assessing older population assistance needs.
评估老年人群中认知障碍和疾病负担与残疾之间的关联。
在意大利11个地区对2192名随机选取的65岁及以上老年人进行基于人群的健康和功能状况调查,使用简易认知评估量表(Mini-Cog)作为认知筛查工具。采用分层逻辑回归分析计算认知和疾病指标与功能结局之间的关联,纳入的因素包括年龄、Mini-Cog评分、疾病负担、年龄、教育程度和地理区域。设定p<0.01为具有统计学显著性。
Mini-Cog评分与所有功能指标(日常生活活动能力[ADL]、社交活动、运动、电话和面对面交谈、排尿控制以及阅读报纸的能力)以及中风、跌倒和痴呆诊断相关。在单因素分析中,低教育程度与Mini-Cog评分、疾病负担和残疾相关。然而,在逻辑回归分析中,Mini-Cog评分和疾病负担而非教育程度,仍然是所有基本ADL和大多数高阶功能的显著预测因素。功能残疾的最佳预测值是Mini-Cog评分为5分中的1分。总体而言,虽然两者都具有显著性,但认知障碍对基本ADL障碍的影响比对疾病负担的影响大四倍以上(分别占方差的14%和3%)。
在老年人中,通过Mini-Cog评估的认知障碍比疾病负担更能有力地预测ADL受损情况。教育程度与Mini-Cog评分之间的关联并未影响其预测功能状态的能力。结果表明,Mini-Cog在评估老年人群的援助需求方面可能有用。