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Record W7117324396 · doi:10.1002/alz70857_104223

Stronger associations between a Brief Evaluation of Activities of Daily Living and Cognition (BEAN) and cognitive activity than physical activity in unimpaired older adults

2025· article· en· W7117324396 on OpenAlexaboutno aff
Sydney Y. Schaefer, Michael H. Malek‐Ahmadi, Angela Kuramoto, Farah Shaikh, Carla Jooste, Hamzah Al‐Jubouriy, Kathy O'Connor, David W. Coon, A. Atri

Bibliographic record

VenueAlzheimer s & Dementia · 2025
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
Fundersnot available
KeywordsCognitionPhysical activityActivities of daily livingTest (biology)Cognitive testMental activity

Abstract

fetched live from OpenAlex

BACKGROUND: Cognitive and physical activity can reduce dementia risk among older adults. We have developed and validated a Brief Evaluation of Activities of Daily Living and Cognition (BEAN) test that is performance-based, where a spoon is used to acquire and transport objects. It is unclear, however, whether its relationship to cognition and daily functioning is mediated through cognitive or physical (i.e., cardiovascular/musculoskeletal) mechanisms. Based on prior work, we hypothesized the BEAN test would be related to the level of engagement in cognitive but not physical activities. METHOD: Data were collected in the Banner Sun Health Research Institute's Center for Healthy Aging's Longevity Study of community-dwelling adults age 50+ with no cognitive impairment (based on self-report and Clinical Dementia Rating=0) and are independent in personal/home affairs (based on self-report). A total of 290 participants (mean±SD age = 79.3±8.5 years; mean±SD education = 15.9±1.3 years; 71.7% female) completed the BEAN test during at least one annual visit. Participants also completed the Montreal Cognitive Assessment (MoCA) (97%), the Rapid Assessment of Physical Activity (RAPA) (95%), and the Cognitively Stimulating Activities Questionnaire (CSA-Q) (81%), depending on when they were enrolled. Only cross-sectional data were analyzed in this study. BEAN scores reflect intraindividual variability across four consecutive trials of the task (where higher variability is worse). RESULT: Generalized linear mixed models with a gamma distribution confirmed that the BEAN test and MoCa were related (b=-.68; p = .0025), controlling for age, sex, and education. The BEAN test was also related to the CSA-Q (b=-.24; p = .02). Furthermore, mediation analysis showed that the BEAN test had a negative total effect (b=-0.07; p = .0002) on MoCA that was mediated through the CSA-Q (b=-.12; p = .0033). However, the BEAN test and RAPA were not related (p = .50), and RAPA scores did not mediate the relationship between BEAN scores and MoCA scores (p = .10). CONCLUSION: Results support the use of the BEAN test as a measure of cognition and daily functioning rather than as a physical/motor assessment. Furthermore, the BEAN test appears to be sensitive to the mechanisms by which cognitive engagement, rather than physical activity, positively impact cognition in community-dwelling older adults.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.347
Teacher spread0.312 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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