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Record W2939245572 · doi:10.1093/sleep/zsz067.300

0301 Interaction Between the Progression of Alzheimer’s Dementia and Circadian Disturbances: A 13-Year Longitudinal Study in Community-Based Older Adults

2019· article· en· W2939245572 on OpenAlexaff
Peng Li, Wenqing Fan, Lei Yu, Andrew Lim, Aron S. Buchman, David A. Bennett, Kun Hu

Bibliographic record

VenueSLEEP · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicHealth, Environment, Cognitive Aging
Canadian institutionsUniversity of Toronto
FundersNational Institutes of Health
KeywordsDementiaCircadian rhythmAlzheimer's diseaseCognitive declineMedicinePsychologyCognitionDiseaseInternal medicineGerontologyPediatricsPsychiatry

Abstract

fetched live from OpenAlex

Altered circadian rhythms occur in Alzheimer’s disease (AD) even at its preclinical stage. No study to date has examined changes in circadian rhythms in parallel with AD progression longitudinally. Here we examined deterioration of daily/circadian activity rhythms as older adults progressed from no cognitive impairment (NCI), to mild cognitive impairment (MCI), and to Alzheimer’s dementia. We studied 1,032 older adults (female: 780; age: 80.8±7.4 [SD]) in the Rush Memory and Aging Project who have been followed for up to 13 years. Motor activities of ~10 days were recorded annually and were used to quantify the interdaily stability (IS) and intradaily variability (IV) of the daily/circadian activity rhythms. Cognitive assessments and clinical diagnoses were administered annually to render a clinical diagnostic classification of NCI, MCI, or Alzheimer’s dementia based on the NINCDS/ADRDDA criteria. To examine how IS and IV change longitudinally with the progression of Alzheimer’s dementia, we performed linear mixed-effects models with 2 change points anchored at the diagnoses of MCI and Alzheimer’s dementia while adjusted for age, sex, and education. Among older adults with NCI, IS showed an annual decrease of 0.008±0.001 (SE) (p<0.0001) and IV had an annual increase of 0.010±0.001 (p<0.0001). After MCI diagnosis, IS decreased ~90% faster (additional annual decrease: 0.007±0.001; p<0.0001) and IV increased ~120% faster (additional annual increase: 0.012±0.003; p<0.0001). After the diagnosis of Alzheimer’s dementia, the changes in IS and IV were further accelerated with the rates of changing further increased by 0.015±0.006 for IS (twice the rate at MCI; p=0.01) and 0.052±0.009 for IV (3.4 times of the rate at MCI, p<0.0001), respectively. As people age, daily activity rhythms became less stable and more fragmented. The progression of Alzheimer’s dementia accelerates the rhythmic degradation, suggesting that circadian disturbance may be an integral part of the process of Alzheimer’s disease. This work was supported by NIH grants R01AG048108, RF1AG059867, R01AG017917, and R01NS078009.

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)0.002
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 score0.020
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
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 head0.030
GPT teacher head0.306
Teacher spread0.276 · 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

Citations4
Published2019
Admission routes1
Has abstractyes

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