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Record W4380876864 · doi:10.1002/alz.061041

Associations of sleep disturbances with cognitive function and plasma Alzheimer’s biomarkers in Chinese rural‐dwelling older adults: A population‐based study

2023· article· en· W4380876864 on OpenAlexaboutno aff
Shi Tang, Rui Liu, Yongxiang Wang, Yi Dong, Yu Qin, Juan Ren, Tingting Hou, Lin Cong, Yifeng Du, Chengxuan Qiu

Bibliographic record

VenueAlzheimer s & Dementia · 2023
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsnot available
Fundersnot available
KeywordsEpworth Sleepiness ScalePittsburgh Sleep Quality IndexCognitionMedicineNeuropsychologyPopulationMontreal Cognitive AssessmentLogistic regressionPsychologyDementiaInternal medicineGerontologyPhysical therapyPolysomnographyPsychiatryDiseaseSleep quality

Abstract

fetched live from OpenAlex

Abstract Background Sleep disturbances have been associated with cognitive impairment, but their associations with plasma Alzheimer’s disease (AD) biomarkers have been rarely explored. We sought to investigate the relationships of self‐reported and cardiopulmonary coupling (CPC)‐assessed sleep disturbances, cognitive function, and plasma AD biomarkers among rural‐dwelling older adults in China. Method This population‐based cross‐sectional study included 1987 dementia‐free individuals (age ≥60 years, 55.0% women) who participated in the CPC‐substudy as part of the baseline assessments of the MIND‐China Study; of these, 830 had data on plasma Aβ42, Aβ40, total‐tau, and neurofilament light chain (NfL) that were measured using the single molecule array (SIMOA) technology. We collected data via face‐to‐face interviews, clinical examinations, and neuropsychological test. Sleep disturbances were assessed using the Pittsburgh Sleep Quality Index (PSQI), the Epworth Sleepiness Scale (ESS), the self‐administered Berlin Questionnaire, and the ECG‐based CPC analysis. We used the neuropsychological test battery to assess memory, language, attention, and executive function. Data were analyzed using logistic and general linear regression models. Result Of the 1987 participants, CPC‐measured total sleep time (TST) >8 hours/night (vs. 5‐8 hours) was significantly associated with a lower composite z‐score of memory (β = ‐0.080; 95% CI = ‐0.160 ‐ ‐0.001), language (‐0.114; ‐0.186 ‐ ‐0.042), attention (‐0.104; ‐0.175 ‐ ‐0.033), and executive function (‐0.117; ‐0.193 ‐ ‐0.041). Self‐reported poor sleep quality was associated with a lower composite z‐score of attention function (β = ‐0.077; 95% CI = ‐0.143 ‐ ‐0.011). Self‐reported excessive daytime sleepiness (EDS) was associated with a lower composite z‐score of memory (β = ‐0.217; 95% CI = ‐0.350 ‐ ‐0.084), language (‐0.182; ‐0.303 ‐ ‐0.061), and attention function (‐0.162; ‐0.282 ‐ ‐0.041). In the plasma biomarker subsample, CPC‐measured TST >8 hours/night was significantly associated with lower plasma Aβ42/Aβ40 ratio (β = ‐0.522; 95% CI = ‐0.764‐ ‐0.281) and higher plasma concentrations of Aβ40 (13.419; 6.515‐20.323), total‐tau (0.216; 0.071‐0.360), and NfL (0.071; 0.002‐0.140). There was no significant association between CPC‐measured apnea hypopnea index (AHI) and plasma AD biomarkers (P>0.05). Conclusion Long sleep duration and self‐reported EDS were associated with poor memory, language, and attention function among older adults, in which AD pathology and neurodegeneration may be the common pathways linking sleep disturbances with cognitive impairment.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.025
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
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 head0.018
GPT teacher head0.289
Teacher spread0.271 · 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
Published2023
Admission routes1
Has abstractyes

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