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Record W4415584746 · doi:10.17759/cpse.2025140308

Relationship of sleep characteristics with psychoneurophysiologic parameters in middle-aged and elderly individuals living in the European North of Russia

2025· article· ru· W4415584746 on OpenAlexaboutno aff
A.A. Mashyanova, Л. В. Поскотинова, Nikita A. Mitkin, Elena V. Krivonogova, Olga Krivonogova, Alexander V. Kudryavtsev

Bibliographic record

VenueClinical Psychology and Special Education · 2025
Typearticle
Languageru
FieldPsychology
TopicSleep and related disorders
Canadian institutionsnot available
FundersRussian Science Foundation
KeywordsCognitionSleep (system call)Depression (economics)Beck Depression InventoryMontreal Cognitive AssessmentCognitive impairmentInsomniaDementia

Abstract

fetched live from OpenAlex

The objective of the study was to evaluate the correlation of sleep disorders with cognitive impairment, depression, and P300 cognitive evoked potential (EP) parameters in middle-aged and elderly individuals living in the European North. Methods and materials. A cross-sectional study was conducted in 2023–2024. A random sample of Arkhangelsk residents aged 45–74 years (N = 937) was observed. The Montreal Cognitive Function Assessment Scale (MoCa), Beck Depression Scale, a questionnaire for the assessment of subjective characteristics of sleep, electroencephalogram with registration of EP P300 parameters were used. Results. It was found that in both genders sleep disorders were associated with the presence of symptoms of depression. In women, sleep disorders were also associated with an age-associated increase in P300 EP latency, which may be an early sign of cognitive decline, and in men — with an increase in P300 EP amplitude, which is characteristic of anxiety-depressive disorders.

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)0.000
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 score0.010
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.069
GPT teacher head0.382
Teacher spread0.313 · 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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