The Montreal Cognitive Assessment: Normative Data from a Large Swedish Population-Based Cohort.
The Montreal Cognitive Assessment: Normative Data from a Large Swedish Population-Based Cohort.
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DOI：
10.3233/jad-170203
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Palmqvist S
中科院分区：
文献类型：
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作者：
Borland E;Nägga K;Nilsson PM;Minthon L;Nilsson ED;Palmqvist S
蒙特利尔认知评估（莫卡）对检测认知功能障碍具有很高的敏感性。瑞典的规范性数据并不存在，国际规范通常来源于未筛查认知障碍的人群，也未进行全面评估以排除痴呆或轻度认知障碍受试者。建立莫卡的规范，并基于大型，经过充分检查的队列开发基于回归的规范计算器。莫卡对来自EPIC研究的基于人群的队列的860名随机选择的老年人进行了管理。在记忆诊所筛查并进一步评估认知功能障碍。在排除认知障碍的参与者后，标准数据来自758人，年龄在65-85岁之间。根据年龄组的不同，莫卡认知障碍的临界值（-1至-2标准差）在受教育程度最低的人群中为<25至<21，在受教育程度最高的人群中为<26至<24。莫卡评分的重要预测因素是年龄、性别和教育水平。我们根据DSM-5认知障碍标准，基于一个大型的老年人群队列，提供了详细的规范性莫卡数据和截止值，并进行了筛选和彻底调查，以排除认知障碍。在评估莫卡分数时，应考虑教育水平、性别和年龄，我们基于回归的在线计算器可为受试者的莫卡分数提供百分位数和z分数。
The Montreal Cognitive Assessment (MoCA) has a high sensitivity for detecting cognitive dysfunction. Swedish normative data does not exist and international norms are often derived from populations where cognitive impairment has not been screened for and not been thoroughly assessed to exclude subjects with dementia or mild cognitive impairment. To establish norms for MoCA and develop a regression-based norm calculator based on a large, well-examined cohort. MoCA was administered on 860 randomly selected elderly people from a population-based cohort from the EPIC study. Cognitive dysfunction was screened for and further assessed at a memory clinic. After excluding cognitively impaired participants, normative data was derived from 758 people, aged 65–85. MoCA cut-offs (–1 to –2 standard deviations) for cognitive impairment ranged from <25 to <21 for the lowest educated and <26 to <24 for the highest educated, depending on age group. Significant predictors for MoCA score were age, sex and level of education. We present detailed normative MoCA data and cut-offs according to the DSM-5 criteria for cognitive impairment based on a large population-based cohort of elderly individuals, screened and thoroughly investigated to rule out cognitive impairment. Level of education, sex, and age should be taken in account when evaluating MoCA score, which is facilitated by our online regression-based calculator that provide percentile and z-score for a subject’s MoCA score.