The Cognitive Online Self-Test Amsterdam (COST-A): Establishing norm scores in a community-dwelling population

Current Advances in Computerized Cognitive Assessment for Mild Cognitive Impairment and Dementia in Older Adults: A Systematic Review

INTRODUCTION

Timely detection of cognitive impairment such as mild cognitive impairment (MCI) or dementia is pivotal in initiating early interventions to improve patients' quality of life. Conventional paper-pencil tests, though common, have limited sensitivity in detecting subtle cognitive changes. Computerized assessments offer promising alternatives, overcoming time and manual scoring constraints while potentially providing greater sensitivity.

METHODS

A literature search yielded 26 eligible articles (2020-2023). The articles were reviewed according to PRISMA guidelines, and the computerized tools were categorized by diagnostic outcome (MCI, dementia, combined).

RESULTS

The subjects included in the studies were aged 55-77 years. The overall gender distribution comprised 60% females and 40% males. The sample sizes varied considerably from 22 to 4,486. Convergent validity assessments in 20 studies demonstrated strong positive correlations with traditional tests. Overall classification accuracy in detecting MCI or dementia, distinguishing from normal cognition (NC), reached up to 91%. Impressively, 46% of the studies received high-quality ratings, underscoring the reliability and validity of the findings.

CONCLUSION

The review highlights the advancements in computerized cognitive assessments for assessing MCI and dementia. This shift toward technology-based assessments could enhance detection capabilities and facilitate timely interventions for better patient outcomes.

Mayo Normative Studies: regression-based normative data for remote self-administration of the Stricker Learning Span, Symbols Test and Mayo Test Drive Screening Battery Composite and validation in individuals with Mild Cognitive Impairment and dementia

Objective

Few normative data for unsupervised, remotely-administered computerized cognitive measures are available. We examined variables to include in normative models for Mayo Test Drive (a multi-device remote cognitive assessment platform) measures, developed normative data, and validated the norms.

Method

1240 Cognitively Unimpaired (CU) adults ages 32-100-years (96% white) from the Mayo Clinic Study of Aging and Mayo Alzheimer's Disease Research Center with Clinical Dementia Rating® of 0 were included. We converted raw scores to normalized scaled scores and derived regression-based normative data adjusting for age, age2, sex and education (base model); alternative norms are also provided (age+age2+sex; age+age2). We assessed additional terms using an a priori cut-off of 1% variance improvement above the base model. We examined low test performance rates (<-1 standard deviation) in independent validation samples (n=167 CU, n=64 mild cognitive impairment (MCI), n=14 dementia). Rates were significantly different when 95% confidence intervals (CI) did not include the expected 14.7% base rate.

Results

No model terms met the a priori cut-off beyond the base model, including device type, response input source (e.g., mouse, etc.) or session interference. Norms showed expected low performance rates in CU and greater rates of low performance in MCI and dementia in independent validation samples.

Conclusion

Typical normative models appear appropriate for remote self-administered MTD measures and are sensitive to cognitive impairment. Device type and response input source did not explain enough variance for inclusion in normative models but are important for individual-level interpretation. Future work will increase inclusion of individuals from under-represented groups.

Self-Testing for Dementia: A Phenomenological Analysis of Fear

Following the growing economic relevance of mobile health (mHealth) and the increasing global prevalence of dementia, self-testing apps for dementia and mild neurocognitive disorder (MCD) have been developed and advertised. The apps' promise of a quick and easy tool has been criticized in the literature from a variety of angles, but as we argue in this article, the celebratory characterization of self-testing also stands in disbalance to the various kinds of fears that may be connected to taking the test. By drawing on Sara Ahmed's phenomenological theory on emotions and by referring to illustrative experiences from two users with a particular dementia self-testing app, we explore four dimensions of fear derived from phenomenology: performative, ontological, embodied, and temporal dimensions. We argue that fear (1) motivates one to take the self-test and to try to take control over one's health; (2) is shaped by and shapes the ways in which we make sense of ourselves and others as cognitively deficient; (3) constructs and is constructed by our differently embodied presence in the world; and that (4) testing makes a fearful future self as cognitively deficient more tangible. In outlining these different dimensions of fear, this article expands the understanding of the meaning of experiencing self-testing in comparison to the mostly quantitative literature on this topic.

Association between formal social participation and cognitive function in middle-aged and older adults: a longitudinal study using SHARE data

Formal social participation significantly impacts health and well-being, potentially mitigating cognitive decline, although not consistently across all studies. Existing research often focuses solely on baseline participation levels, and age-related differences have primarily been explored among the Asian population. Therefore, this longitudinal study aims to assess the association between formal social participation and cognition across different age groups in individuals aged 50+ living in Europe and Israel, while capturing the dynamic nature of formal social participation. We use data from three waves (four, six, and eight) of the Survey of Health, Ageing, and Retirement in Europe (SHARE), comprising 85,601 respondents. Linear mixed-effects models were applied. The results show that participation in formal social activities mitigates cognitive decline in middle-aged and older adults, especially among those aged 70 to 79 and 80+. These findings support the need for social policies promoting formal social activities, for lasting cognitive health benefits.

Everyday Functioning in a Community-Based Volunteer Population: Differences Between Participant- and Study Partner-Report

Introduction: Impaired awareness in dementia caused by Alzheimer's disease and related disorders made study partner-report the preferred method of measuring interference in "instrumental activities of daily living" (IADL). However, with a shifting focus toward earlier disease stages and prevention, the question arises whether self-report might be equally or even more appropriate. The aim of this study was to investigate how participant- and study partner-report IADL perform in a community-based volunteer population without dementia and which factors relate to differences between participant- and study partner-report. Methods: Participants (N = 3,288; 18-97 years, 70.4% females) and their study partners (N = 1,213; 18-88 years, 45.8% females) were recruited from the Dutch Brain Research Registry. IADL were measured using the Amsterdam IADL Questionnaire. The concordance between participant- and study partner-reported IADL difficulties was examined using intraclass correlation coefficient (ICC). Multinomial logistic regressions were used to investigate which demographic, cognitive, and psychosocial factors related to participant and study partner differences, by looking at the over- and underreport of IADL difficulties by the participant, relative to their study partner. Results: Most A-IADL-Q scores represented no difficulties for both participants (87.9%) and study partners (89.4%). The concordance between participants and study partners was moderate (ICC = 0.55, 95% confidence interval [CI] = [0.51, 0.59]); 24.5% (N = 297) of participants overreported their IADL difficulties compared with study partners, and 17.8% (N = 216) underreported difficulties. The presence of depressive symptoms (odds ratio [OR] = 1.31, 95% CI = [1.12, 1.54]), as well as memory complaints (OR = 2.45, 95% CI = [1.80, 3.34]), increased the odds of participants overreporting their IADL difficulties. Higher IADL ratings decreased the odds of participant underreport (OR = 0.71, 95% CI = [0.67, 0.74]). Conclusion: In this sample of community-based volunteers, most participants and study partners reported no major IADL difficulties. Differences between participant and study partner were, however, quite prevalent, with subjective factors indicative of increased report of IADL difficulties by the participant in particular. These findings suggest that self- and study partner-report measures may not be interchangeable, and that the level of awareness needs to be considered, even in cognitively healthy individuals.