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Record W4206469684 · doi:10.24124/2020/59088

A cross-sectional analysis of alcohol consumption, sex, and the odds of Alzheimer's disease and other dementias in the community-dwelling Canadian population

2020· dissertation· en· W4206469684 on OpenAlexaffabout
Jennifer Tippett

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsDementiaBinge drinkingMedicineDemographyLogistic regressionOdds ratioPopulationCross-sectional studyGerontologyOddsDiseaseNeurocognitiveEnvironmental healthPsychiatryPoison controlInjury preventionCognitionInternal medicine

Abstract

fetched live from OpenAlex

Background: The prevalence of Alzheimer’s disease (AD) and other dementias is perpetually increasing in Canada and worldwide with the aging baby boomer population. It is, therefore, important to identify risk factors for these major neurocognitive disorders, such as alcohol consumption, to mitigate the future burden on caregivers and the economy. The purpose of this study was to replicate previous research regarding the dose-response relationship between alcohol consumption and the odds of currently having AD or another dementia. The possibility of a sex effect moderating this relationship was also explored. Participants: Data were obtained for respondents to the combined 2015/16 cycles of the Canadian Community Health Survey who were aged 41 years or older at the time of the survey’s conduction (nweighted = 16,715,618). Methods: Logistic regression was used to crossectionally assess the relationship between various time- and frequency-related alcohol consumption exposures to outcome dementia status, while controlling for a number of demographic and risk factor variables. Results: A sex effect was identified for drinking at an average frequency of four to six times per week over the past year (p = 0.019, 95% CI: 0.03, 0.73) where women (ORw = 0.13) were more protected against currently having AD or dementia than men (ORm = 0.89) when compared to alcohol abstainers. Binge drinking two to three times per month (OR = 0.19, p = 0.015, 95% CI: 0.05, 0.73) and more than once per week over the past year (OR = 0.16, p = 0.007, 95% CI: 0.04, 0.61) significantly lessened the odds of currently having AD or dementia when compared against alcohol abstainers. A sex effect was present for those who were classified as very heavy drinkers (♂: 6+ drinks/day, ♀: 4+ drinks/day) over the past week (p = 0.018, 95% CI: 1.14, 39.41) where alcohol was protective against currently having AD or dementia in men (ORm = 0.29) and alcohol was a risk factor for currently having AD or dementia in women (ORw = 2.15) when both were referenced with alcohol abstainers. Conclusions: With the exception of very heavy drinker women, drinking alcohol was associated with a reduced likelihood of currently having AD or dementia and sex effects were identified for drinking at a moderate frequency over the past year and very heavy drinkers. However, these results should be interpreted with caution due to the possibility of selection, sparse data, and abstainer biases as well as misclassification error. The primary implication of this research is to inform future studies that a more thorough exploration of a sex effect influencing the relationship between alcohol consumption and having AD or dementia is warranted.

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)0.002
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 score0.027
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.003
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.061
GPT teacher head0.381
Teacher spread0.320 · 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
Published2020
Admission routes2
Has abstractyes

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