Mini-Mental State Examination (MMSE) for the detection of dementia in clinically unevaluated people aged 65 and over in community and primary care populations

Creavin, Sam; Wisniewski, Susanna; Noel-Storr, Anna; Trevelyan, Clare M; Hampton, Thomas; Rayment, Dane; Thom, Victoria M; Nash, Kirsty J E; Elhamoui, Hosam; Milligan, Rowena; Patel, Anish S; Tsivos, Demitra; Wing, Tracey; Phillips, Emma; Kellman, Sophie M; Shackleton, Hannah L; Singleton, Georgina; Neale, Bethany E; Watton, Martha E; Cullum, Sarah

doi:10.1002/14651858.cd011145.pub2

Cited by 524 publications

(488 citation statements)

References 331 publications

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“…We developed charts that show expected normal cognitive trajectories compared with patients with dementia in an attempt to better discriminate the 2 populations over time. The accuracy of the cognitive charts is superior to percentile tables, 11,16,17,[34][35][36] which categorize patients into specific predetermined boxes, whereas ample data suggest that intervals in normative tables are not constant, being driven differently by age and education at different spectra of the continuum. 35 Our representative cases also clearly showed that a fixed cut-off does not accurately represent the longitudinal trajectory of an individual's cognitive performance.…”

Section: Discussionmentioning

confidence: 87%

“…34 All of these studies illustrated test distribution in normal scores. A recent Cochrane meta-analysis 35 evaluated the diagnostic accuracy of 18 different Mini-Mental State Examination cut points for dementia in people aged 65 years and older in community and primary care settings who had not undergone prior testing for dementia. The summary diagnostic accuracy of a cut point of 24 was a sensitivity of 85% and a specificity of 90%.…”

Section: Discussionmentioning

confidence: 99%

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Validation and diagnostic accuracy of predictive curves for age-associated longitudinal cognitive decline in older adults

Bernier

Gourdeau

Carmichael

et al. 2017

CMAJ

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Section: Discussionmentioning

confidence: 87%

Section: Discussionmentioning

confidence: 99%

Validation and diagnostic accuracy of predictive curves for age-associated longitudinal cognitive decline in older adults

Bernier

Gourdeau

Carmichael

et al. 2017

CMAJ

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“…The classification of cognitive impairment was performed by using the scale's score and education level (Creavin et al, 2016) (Guerreiro et al, 1994): illiterate and ≤15 points; 1-11 years of education and ≤22 points; ≥11 years of education and ≤27 points. For these individuals only few socio-demographic and anthropometrics information were collected.…”

mentioning

confidence: 99%

National Food, Nutrition and Physical Activity Survey of the Portuguese general population

Lopes

Torres

Oliveira

et al. 2017

EFSA Supporting Publications

106

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The National Food, Nutrition and Physical Activity Survey of the Portuguese general population aimed to collect nationwide and regional data on dietary intake and physical activity, and their relation with health determinants, namely socioeconomic factors. Results from this project were obtained from a representative sample of the Portuguese population, aged between three months to 84 years of age, selected from the National Heath Registry, by multistage sampling (a sample size of 5068 individuals was estimated and 5811 participants with two dietary assessments were achieved). To accomplish the EFSA requirements, a minimum, of 260 individuals in each age group (130 by sex) was planned. Two face-to-face interviews were conducted at a health care centre or participant's home. Dietary intake was obtained by two non-consecutive days of food diaries for children (<10 years old) and two nonconsecutive 24-hours recalls for the older age groups, with a time interval between 8 and 15 days, complemented with a Food Propensity Questionnaire. An electronic platform based on a client-server architecture was used to manage the field work and to assist the data collection. The Electronic Assessment Tool for 24-hours recall (eAT24) allowed the collection of dietary data by an Automated Multiple-Pass Method for 24-hours. This interview-based dietary assessment instrument allowed obtaining a very detailed description and quantification of foods, recipes, and food supplements consumed in the course of the preceding day, and it had several adaptations, described in detail in this report. The survey outcomes support solid evidence-based information covering all age groups of the population, using harmonized methodologies at the European level, and will contribute to develop a national infrastructure for monitoring progress of specific targets supporting national and European policies and future interventions on diet, physical activity and food safety.

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“…The MMSE assesses global cognition with a well-established cut-off for cognitive impairment at <24 points that provides a high specificity [25,26]. AQT, on the other hand, provides a high sensitivity for impaired attention and executive function [23,27].…”

Section: Screening and Assessment Of Cognitive Impairmentmentioning

confidence: 99%

[P3–284]: The Montreal Cognitive Assessment: Normative Data From a Large Swedish Population‐based Cohort

Borland¹,

Nägga

Nilsson

et al. 2017

Alzheimer's & Dementia

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Abstract.Background: 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. Objective: To establish norms for MoCA and develop a regression-based norm calculator based on a large, well-examined cohort. Methods: 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. Results: 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. Conclusion: 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.

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Mini-Mental State Examination (MMSE) for the detection of dementia in clinically unevaluated people aged 65 and over in community and primary care populations

Cited by 524 publications

References 331 publications

Validation and diagnostic accuracy of predictive curves for age-associated longitudinal cognitive decline in older adults

Validation and diagnostic accuracy of predictive curves for age-associated longitudinal cognitive decline in older adults

National Food, Nutrition and Physical Activity Survey of the Portuguese general population

[P3–284]: The Montreal Cognitive Assessment: Normative Data From a Large Swedish Population‐based Cohort

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