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Record W7117294706 · doi:10.1002/alz70857_104400

Does the serial position effect identify people at‐risk for dementia? Findings from the Canadian Longitudinal Study on Aging

2025· article· en· W7117294706 on OpenAlexaffabout
Sofia Marinou, Natalie A. Phillips

Bibliographic record

VenueAlzheimer s & Dementia · 2025
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsConcordia University
Fundersnot available
KeywordsLongitudinal studyWorryCognitionRecallCognitive agingLongitudinal data

Abstract

fetched live from OpenAlex

Abstract Background Subjective cognitive decline (SCD) is defined as a self‐perceived decline in cognition without objective cognitive impairment and is considered a potential predictor of Alzheimer's disease (AD). However, summary‐level neuropsychological test scores often fail to detect subtle cognitive changes in this group, making assessments challenging. A promising approach is to examine the serial position effect (SPE) where, during verbal recall, items presented at the beginning (primacy) and end (recency) of a list are remembered better than ones in the middle. Primacy recall is associated with long‐term memory, whereas recency recall reflects working memory. Primacy recall may be sensitive to early changes in memory function associated with reduced hippocampal volume, so poor primacy recall in individuals with SCD could be predictive of future cognitive decline. Method Data were taken from the comprehensive cohort ( n = 30,097) of the Canadian Longitudinal Study on Aging (CLSA), a 20‐year national study following 50,000 Canadians aged 45–85 at baseline. To investigate whether SPE patterns differ by SCD status, participants were categorized into three groups based on a self‐report measure of SCD: no SCD, SCD+worry, and SCD‐no worry. SPE patterns were assessed using the Rey Auditory Verbal Learning Test (RAVLT). Result All analyses controlled for sex, age, and education. There was no significant effect of SCD status on immediate recall total scores, F (2,15166)=0.59, p = 0.56, η 2 < .001. However, significant differences were observed for primacy, F (2,15166)=7.20, p < .001, η 2 = .001, and recency recall F (2,15166)=8.67, p < .001, η 2 = .001. Specifically, the SCD+worry group showed lower primacy recall than controls ( p < .001), whereas recency recall was lower in controls than both the SCD+worry ( p < .001) and SCD‐no worry groups ( p = 0.02). For delayed recall, a main effect of SCD status was found on both total scores, F (2,15166)=3.74, p = 0.02, η 2 < .001, and primacy recall, F (2,15166)=4.32, p = 0.01, η 2 = .001, with the SCD+worry group performing worse than controls ( p = 0.02 and p = 0.01, respectively). No differences were observed for delayed recency recall. Conclusion Older adults with SCD and related worry consistently showed lower primacy recall than controls, suggesting that SPE patterns may potentially differentiate individuals with SCD who are at‐risk of developing AD. As such, evaluation of SPE patterns may further improve early detection of cognitive decline in this population.

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)0.002
metaresearch head score (Gemma)0.007
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 score0.024
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.005
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0020.001
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 head0.025
GPT teacher head0.344
Teacher spread0.319 · 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 routes2
Has abstractyes

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