The cognitive deterioration of politicians is a critical emerging issue. As professions including law and medicine develop and implement cognitive assessments, their insights may inform the proper strategy within politics. The aging, lifetime-appointed judiciary raises legal and administrative questions of such assessments, while testing of older physicians experiencing cognitive decline provides real-life examples of implementation. In politics, cognitive assessment must contend with the field’s unique challenges, also taking context-dependent interpretations of cognitive-neuropsychological status into account. These perspectives, from legal and medical experts, political scientists, and officeholders, can contribute toward an equitable, functioning, and non-discriminatory system of assessing cognition that educates the public and enables politicians to maintain their public responsibilities. With proper implementation and sufficient public knowledge, we believe cognitive assessments for politicians, particularly political candidates, can be valuable for maintaining properly functioning governance. We offer recommendations on the development, implementation, and execution of such assessments, grappling with their democratic and legal implications.

Cognistat is a cognitive screening test that is widely used in English-speaking countries. Its French adaptation is now available. The present study aims to establish norms for a population aged 60 and over. One hundred and fifty-one participants aged between 60 and 84 years old with normal cognitive function were divided into 5 five-year age groups. The results on Cognistat are reported for each subtest and age group. Age has a significant effect in only two subtests (Attention and Language Comprehension), which suggests a reduced performance for older participants. However, these effects are very weak and irregular. For this reason and given data distribution, norms are proposed to define performance thresholds for the 15th (lower limit of the normal range), 10th (mild cognitive impairment) and 5th (clinically significant) percentiles for each subtest for the clinical use of Cognistat with individuals 60 years of age and older.

Carotenoids may help to prevent the ageing of the brain. Previous findings regarding β-carotene alone are not consistent. In the present study, we evaluated the cross-time association between a carotenoid-rich dietary pattern (CDP) and subsequent cognitive performance using a sample of 2983 middle-aged adults participating in the SU.VI.MAX (Supplémentation en Vitamines et Minéraux Antioxydants) study. Cognitive performance was assessed in 2007–9 using six neuropsychological tests, and a composite cognitive score was computed. The cognitive data were related to dietary data obtained by repeated 24 h dietary records (1994–6) and to measurements of baseline plasma concentrations of carotenoids (lutein, zeaxanthin, β-cryptoxanthin, lycopene, α-carotene, trans-β-carotene and cis-β-carotene). DP were extracted using the reduced rank regression method for 381 participants and then extrapolated to the whole sample using plasma carotenoid concentrations as response variables. Associations between a CDP and cognitive function measured 13 years later were estimated with ANCOVA providing mean difference values and 95 % CI across the tertiles of CDP. A correlation between CDP and consumption of orange- and green-coloured fruits and vegetables, vegetable oils and soup was observed. CDP was found to be associated with a higher composite cognitive score (mean difference 1·04, 95 % CI 0·20, 1·87, P for trend 0·02), after adjustment for sociodemographic, lifestyle and health factors. Similar findings were obtained for scores obtained in the cued recall task, backward digit span task, trail making test and semantic fluency task (all P for trend < 0·05). Further studies ought to confirm whether a diet providing sufficient quantity and variety of coloured fruits and vegetables may contribute to the preservation of cognitive function during ageing.

Background: The aim was to develop a brief screening battery, Cognitive State Test (COST), for detecting the presence of dementia in both illiterate and literate patients and to assess its validity and reliability.

Methods: COST is a cognitive screening tool that consists of almost all cognitive domains. It takes 5–7 minutes to administer, and has a maximum score of 30. Data were obtained from 114 healthy volunteers and 74 Alzheimer dementia (AD) patients. Subjects’ age divided into two groups: A1: <65 years; and A2: ≥65 years and their education level divided into three groups: E1: illiterate; E2: 1–5 years; and E3: ≥6 years. For assessing concurrent validity, total COST score was compared to the Clinical Dementia Rating (CDR), the Mini Mental State Examination (MMSE), the Montreal Cognitive Assessment (MoCA), and Basic Activities of Daily Living (BADL). Sensitivity and specificity were determined through a discriminant analysis using the Receiver Operating Characteristic (ROC) curves. Internal consistency was measured using Cronbach's coefficient α.

Results: For normal and AD subjects, mean age was 64.9±9.8 years (50 women and 64 men) and 67.2±13.2 years (55 women and 19 men), respectively. Schooling ranged from 0–15 years (mean 5.7±4.2 and 3.3±3.8 years, respectively), and 21 and 37 subjects were illiterate, respectively. The COST significantly and positively correlated with MMSE and MoCA, and significantly and inversely correlated with CDR, the Geriatric Depression Scale (GDS), and BADL. In the E1, E2, and E3 education groups, the optimal cut-off points of COST chosen for diagnosis of AD were 23/24 (sensitivity: 81%, specificity: 99%), 24/25 (sensitivity: 75%, specificity: 86%), and 26/27 (sensitivity: 77%, specificity: 84%), respectively. When illiterate and literate subjects were then pooled, the optimal cut-off score of COST was 24/25, which yielded a sensitivity of 81% and a specificity of 87%. Reliability of the COST was good (0.86).

Conclusion: The COST is a valid and reliable screening battery for detection of dementia both in the illiterate and the literate Alzheimer patients.

To evaluate the progression of cognitive decline in multiple sclerosis (MS) patients and the susceptibility of the Multiple Sclerosis Functional Composite (MSFC) Paced Auditory Serial Addition Test (PASAT) to change, we conducted a 1-year follow-up with a comprehensive neuropsychological examination to 19 initially cognitively impaired and 26 cognitively intact relapsing–remitting MS patients, and to 48 healthy controls. The results indicated that the cognitive performance of MS patients remained relatively stable. Healthy controls tended to perform better on most neuropsychological measures at follow-up, the same was not observed in the MS groups. PASAT showed a significant difference between the groups: the cognitively impaired group tended to deteriorate, whereas the control group and the cognitively intact group improved. The change in PASAT could not be explained by the background variables, for example, mood, quality of life, or nervousness. Therefore, the MSFC-PASAT seems to be a sensitive measure to show clinical change in the cognitive status. (JINS, 2007, 13, 791–798.)

Background: Most instruments designed to detect dementia can lack appropriate sensitivity in the early stages of Alzheimer's disease (AD), and are subject to educational bias. The Short Cognitive Performance Test (Syndrom-Kurztest, SKT) is considered a suitable instrument to measure cognitive decline as it assesses memory, attention, and related cognitive functions, taking into account the speed of information processing.

Objectives: The aim of this study was to examine the psychometric characteristics of the SKT as a dementia screening instrument in a Brazilian population sample, as compared to the Mini-mental State Examination (MMSE) and the Clock-Drawing Test (CDT). The effect of educational level on performance in the three screening tests was also verified.

Methods: Fifty-one elderly subjects were assessed. Consensus diagnoses were established by an expert multidisciplinary team, considering clinical, neuropsychological and neuroimaging data. Subjects were further classified into those with (1) mild and moderate AD, (2) non-Alzheimer's dementia, (3) mild cognitive impairment, and (4) controls, according to National Institute for Communicative Disorders and Stroke – Alzheimer's Disease and Related Disorders Association (NINCDS-ADRDA) criteria.

Results: Statistical analyses revealed high internal consistency for the SKT (Cronbach's α = 0.80) and significant correlations between the total score and the SKT subscores separately (p < 0.01). Comparison of the three tests revealed strong correlations between the SKT and the MMSE (r = −0.66, p < 0.0001) and between the SKT and the CDT (r = −0.57, p < 0.0001). The SKT, MMSE and CDT scores were correlated with education.

Conclusions: The Brazilian version of the SKT maintains its original psychometric properties and displays significant correlation with previously validated screening tools for dementia. Like other dementia screening tests, the SKT is subject to educational bias.

Cognitive evaluation in developing countries is a difficult undertaking due to low levels of schooling and particularly the illiteracy still frequent in the elderly. This study was part of the epidemiologic evaluation of dementia in Catanduva, Brazil, and had the objective of comparing the performance of illiterate and literate nondemented elderly individuals in 2 tests of long-term memory—the delayed recall of a word list from the CERAD and the delayed recall of common objects presented as simple drawings from the Brief Cognitive Screening Battery (BCSB). Fifty-one elderly subjects (23 illiterates) were evaluated, and the performance of the illiterates and literates differed in the CERAD memory test, but not in the BCSB memory test. This test may be more suitable for the assessment of long-term memory in populations with a high frequency of illiterates, and therefore might prove to be a useful screening tool for the diagnosis of dementia. (JINS, 2004, 10, 634–638.)