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Record W3011046990 · doi:10.1111/jgs.16377

Oral Health, Diet, and Frailty at Baseline of the Canadian Longitudinal Study on Aging

2020· article· en· W3011046990 on OpenAlexafffundabout
Carol W. Bassim, Alexandra Mayhew, Jinhui Ma, David Kanters, Chris P. Verschoor, Lauren E. Griffith, Parminder Raina

Bibliographic record

VenueJournal of the American Geriatrics Society · 2020
Typearticle
Languageen
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsNOSM UniversityMcMaster UniversityHealth Sciences NorthImpact
FundersCanadian Institutes of Health Research
KeywordsMedicineGerontologyConfidence intervalOral healthLongitudinal studyCross-sectional studyFrailty IndexDemographyEnvironmental healthInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVES: Poor diet due to poor oral health was proposed as a potential mediator of the association between poor oral health and frailty. This study explores the cross-sectional associations between poor oral health, poor diet, and frailty in Canadian adults, aged 45 to 85 years, and then tests whether the expected oral health-frailty association is changed by taking into account the pathway through poor diet. DESIGN: Cross-sectional study. SETTING: The baseline wave of the Canadian Longitudinal Study on Aging, a nationally representative population study. PARTICIPANTS: Data from 28 738 community-dwelling participants, aged 45 to 85 years. MEASUREMENTS: We characterized poor oral health (cumulative count of 24 items of oral health problems), poor diet (scale of poor food consumption from 7 healthy foods groups), and frailty (cumulative frailty index of 76 items). Regression-based path analyses were used to investigate associations between poor oral health, poor diet, and frailty, adjusted for age group, sex, income, smoking, living alone, education, physical activity, social support, and dental visit. RESULTS: Poorer oral health was associated with low income, smoking, low physical activity, low social support, and no dental visit. There were associations between poorer oral health and poorer diet (effect size β adjusted = .40; 95% confidence interval [CI] = .20-.61) and between poorer oral health and increased frailty (β adjusted = .85; 95% CI = .68-1.02). The indirect effect through the path of poor diet was approximately 0.01 (95% CI = 0.01-0.02) (ie, explaining ∼1% of the effect of poor oral health on frailty). CONCLUSIONS: Poor oral health was associated with poor diet and frailty. Each additional oral health problem was associated with an increase of approximately 1 frailty index point, even after full adjustment for poor diet. The indirect effect of poor oral health through poor diet was modest. Though poor oral health was associated with poorer diet quality, a more direct effect of poor oral health on increasing frailty may be indicated. J Am Geriatr Soc 68:959-966, 2020.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.042
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.068
GPT teacher head0.358
Teacher spread0.290 · 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.

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

Citations58
Published2020
Admission routes3
Has abstractyes

Explore more

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