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Record W3007193751 · doi:10.21037/aes.2019.ab033

AB033. The impact of visual impairment on the Montreal Cognitive Assessment

2019· article· en· W3007193751 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAnnals of Eye Science · 2019
Typearticle
Languageen
FieldPsychology
TopicErgonomics and Musculoskeletal Disorders
Canadian institutionsMAB-Mackay Rehabilitation CentreCentre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-JeanUniversité de MontréalConcordia UniversityCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal
Fundersnot available
KeywordsCognitive impairmentMontreal Cognitive AssessmentCognitionPsychologyCognitive Assessment SystemAudiologyMedicinePsychiatry

Abstract

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Background: Cognitive assessments, such as the Montreal Cognitive Assessment (MoCA), use components that assume intact sensory abilities, however, adults show concomitant decreases in visual acuity with increasing age. Scores on cognitive assessments are typically lower for individuals with visual impairments compared to individuals with normal/corrected to normal vision. But it is not clear if lowers scores on cognitive assessments are due to the assessments relying on visual stimuli, or if individuals with visual impairments are actually more likely to have cognitive impairments. Therefore we simulated visual impairments, i.e., reduced visual acuity and contrast sensitivity, in young healthy adults to determine how this impacts their scores on a measure of cognitive ability, i.e., the MoCA. Methods: Participants (n=19) completed one of the three version of the MoCA under three conditions (20/20, simulated 20/80, simulated 20/200). The MoCA was administered following the clinical protocols. Only participants that scored >26 (i.e., normal cognitive function) at 20/20 were included in the analysis. For comparison, we included MoCA data from a sample of older adults with normal vision (n=19, Mage =74, Acuity M=0.04 logMAR, SD=0.16) or visual impairment (n=19, Mage =79, Acuity M=0.35 logMAR, SD=0.3). Results: Acuity of participants at 20/20 (M=0.06 LogMAR, SD =0.1), simulated 20/80 (M=0.63, SD =0.18) and simulated 20/200 (M=0.88, SD =0.19) showed that the participants experienced simulated acuity loss with the goggles. For the MoCA scores, we found a main effect of acuity (F=16.22, P<0.001, η2=0.375, BF10 =5,618). Planned post hoc comparisons showed a significant difference between scores with a 20/20 acuity (M=27.26, SD=0.93) and 20/80 (M=24.74, SD=1.66, t=5.62, ptukey <0.001, d=1.88), and between 20/20 and 20/200 (M=25.63, SD =1.46, t=3.63, ptukey =0.002, Cohen’s d=1.33). However, no difference was observed between 20/80 and 20/200 (t=−1.99, ptukey =0.125, d=0.572). The MoCA scores in older adults with normal vision (M=27.32, SD =2.41) and with visual impairment (M=26.68, SD =2.52), did not differ significantly (t36=−0.787, P=0.436, d=0.26, BF10 =0.4). Conclusions: Our findings show that simulated reductions in visual acuity and contrast sensitivity lead to lower scores on measures of cognitive ability, specifically the MoCA. However, it appears that older adults with actual visual impairments may have developed compensatory strategies to adapt to this loss in visual acuity as there were no significant differences in scores of older adults with and without visual impairments. Therefore, we would recommend that when assessing an individual with visual impairments to conduct the cognitive test by re-scoring it without the visual components, e.g., the MoCA Blind, to magnify the visual components, or to substitue the visual component when possible using auditory alternatives, e.g., the oral trail making task.

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Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.588
Threshold uncertainty score0.566

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.035
GPT teacher head0.435
Teacher spread0.400 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it