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Record W7036322449

Assessment Of The Impact Of Alcohol Intake On Cognition – A Cohort Study

2025· article· en· W7036322449 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMediterranean and Iberian flora and fauna
Canadian institutionsnot available
Fundersnot available
KeywordsCognitionMontreal Cognitive AssessmentAlcohol consumptionSocioeconomic statusCognitive testCohort studyCohortOutpatient clinicStatistical significance
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: Alcohol is one of the most consumed psychoactive substances in the world. The deleterious impact of alcoholism is a major public health issue worldwide due to its consequential long-term, social and economic damage. Besides these socioeconomic effects, alcoholism also results in various degrees of physiological aberrations that lead to abnormalities in cognitive and behavioral functions. In India, it is estimated that approximately 75 million people consume alcohol. Evaluation of the impact of alcohol consumption on cognition becomes the need of the hour due to the interference of cognitive decline with daily function and independence. AIMS: To evaluate cognition ability in alcoholics with a prolonged history of alcohol intake using blinded Montreal Cognitive Assessment (MoCA) and to compare cognition between alcoholics and non-alcoholics. METHODS: The study includes 30 alcoholic males without any comorbidities (experiment), attending the outpatient department and 30 healthy appropriate non-alcoholics (control) within the age group of 18-45 years of age. Assessment of alcohol intake is done using Alcohol Use Disorder Identification Test (AUDIT) questionnaire and cognitive assessment was performed using blinded Montreal Cognitive Assessment (MoCA) to make it feasible for illiterates. The data was collected and entered into MS-EXCEL sheet and independent sample t test was applied for tests of statistical significance (p-value < 0.001 will be considered as significant). RESULTS: The mean age of the subjects in the experimental group is 40.5±8.5 yrs and that of control group is 39.6±9.82 yrs. In the study, 23.3% were light drinkers, 40% were moderate and 36.6% were light drinkers. The study has shown statistically significant correlation between experimental (12.5±3.95) and control (18.9±2.71) groups. (p<0.001). Our results included a crucial finding that alcohol consumption has significant impact on cognitive decline. CONCLUSION: Based on the results of this study, it can be concluded that long-term alcohol consumption has a detrimental influence on cognition. Studies of the cognitive repercussions of alcohol ingesting with the aid of using the usage of the actual international countrywide represented database are scarce within the literature. Higher information on the variations within the effect of alcohol use on cognitive impairment in older adults may also offer precious facts on their care. Conflicting results among various studies could be because of differences in tools used to evaluate cognitive dysfunction; the definitions of the quantity and pattern of alcohol drinking, smoking status, educational and occupational attainment, comorbidities, and psychotropic drug use.

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)0.001
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 score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0000.000
Research integrity0.0000.001
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 head0.245
GPT teacher head0.549
Teacher spread0.304 · 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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