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Record W4415773027 · doi:10.71000/qkvf2v07

COGNITIVE AND FUNCTIONAL IMPACTS OF SLEEP DEPRIVATION ON NEUROLOGICAL HEALTH AMONG WORKING PROFESSIONALS

2025· article· W4415773027 on OpenAlexaboutno aff
Usama Mansoor, Muhammad Haroon, Abdul Rashid Aziz, Zia Ur Rehman, A. Khoso, Shaikh Khalid Muhammad

Bibliographic record

VenueInsights-Journal of Health and Rehabilitation · 2025
Typearticle
Language
FieldPsychology
TopicSleep and Work-Related Fatigue
Canadian institutionsnot available
Fundersnot available
KeywordsAlertnessSleep deprivationCognitionEffects of sleep deprivation on cognitive performancePittsburgh Sleep Quality IndexConfoundingPsychomotor learningPsychomotor vigilance task

Abstract

fetched live from OpenAlex

Background: Sleep deprivation has emerged as a major occupational health concern, affecting cognitive efficiency, neurological function, and overall well-being. Among working professionals, chronic lack of restorative sleep contributes to fatigue, impaired decision-making, and declining productivity. Despite growing awareness, limited empirical data exist from regional professional populations linking sleep deprivation with measurable neurological and cognitive outcomes. Objective: To evaluate how chronic sleep deprivation influences neurological functioning, cognitive performance, and overall health outcomes among working professionals in South Punjab. Methods: A cross-sectional study was conducted over four months involving 380 full-time professionals aged 25–55 years from healthcare, education, corporate, and administrative sectors. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI), cognitive performance through the Montreal Cognitive Assessment (MoCA), neurological alertness via the Psychomotor Vigilance Test (PVT), and overall health using the Short Form Health Survey (SF-36). Data were analyzed using SPSS version 26. Descriptive statistics, independent t-tests, one-way ANOVA, Pearson’s correlation, and multiple linear regression were applied, considering p < 0.05 as statistically significant. Results: A total of 62.6% of participants were identified as poor sleepers (PSQI >5). Poor sleepers had significantly lower mean MoCA scores (21.8 ± 3.4) and prolonged PVT reaction times (392 ± 68 ms) compared to good sleepers (27.3 ± 2.1 and 328 ± 55 ms, respectively, p < 0.001). Sleep duration correlated positively with cognitive performance (r = 0.62) and health outcomes (r = 0.55) while negatively with reaction time (r = –0.58). Sleep duration independently predicted cognitive and health outcomes after controlling for confounders (β = 0.58, p < 0.001). Conclusion: Chronic sleep deprivation among working professionals was strongly associated with impaired cognition, reduced neurological responsiveness, and poorer health status. Promoting adequate sleep and workplace wellness initiatives may help preserve cognitive function and improve occupational health outcomes.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.449
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.031
GPT teacher head0.352
Teacher spread0.321 · 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 teacher head, not a consensus.

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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