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Record W6996270493

The Relationship between Periodontal Disease and Vitamin D

2015· dissertation· en· W6996270493 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2015
Typedissertation
Languageen
FieldMedicine
TopicVitamin D Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsVitamin D and neurologyConfoundingLogistic regressionPeriodontal diseaseClinical attachment lossPeriodontologyvitamin D deficiencyVitamin
DOInot available

Abstract

fetched live from OpenAlex

Background: As vitamin Dis known to have functions in bone homeostasis and immune system regulation, it is plausible that vitamin D levels could affect the progression of periodontal disease. Currently, there is conflicting evidence regarding the role of vitamin D in the progression of periodontal disease. The purpose of this study was to explore the relationship between plasma 2S{OH}D concentration and periodontal disease measured by gingival inflammation {GI} and loss of attachment {LOA}. It is hypothesized that lower 2S{OH}D levels will be associated with higher measures for GI and LOA. Methods: This cross-sectional study used data from the Canadian Health Measures Survey {CHMS} on subjects aged 13 - 79 years of age. Vitamin D status was determined by measuring plasma 25{OH}D concentrations in nmol/L. Periodontal disease was measured by assessing (GI} using Lee's gingival index and by calculating (LOA}. Student's t-tests and chi-square tests were used to perform a bivariate analysis between potential independent variables including 2S(OH}D and the dependent variables of GI and LOA. Multiple logistic regression analyses were then performed for GI and LOA to determine the adjusted correlation between 2S{OH}D and GI and 25{OH}D and LOA and to control for potential confounding variables. Results: Plasma 25{OH}D concentration less than 50 nmol/L and less than 75 nmol/L, but not mean plasma 2S{OH}D concentration, were associated with GI at the bivariate level. However, no association was found between mean plasma 25(OH}D concentration, 2S(OH}D concentration less than 50 nmol/, or 25(OH}D concentration less than 75 nmol/L and GI in the multiple regression analysis. None of mean plasma 25{OH}D concentration, 25{OH}D concentration less than 50 nmol/L, or 2S(OH}D concentration less than 75 nmol/L were associated with LOA at the bivariate level. A statistically significant association was observed between 2S(OH}D concentration less than 75 nmol/L and LOA in the multiple regression analysis, but not mean plasma 2S{OH}D concentration or 2S{OH}D concentration less than 50 nmol/L. Conclusion: Vitamin D status was inversely associated with GI at the bivariate level, but not at the multivariate level. Conversely, vitamin D status was not associated with LOA at the bivariate level, but it was inversely associated with LOA at the multivariate level. These results provide modest evidence supporting a relationship between low plasma 25(OH}D concentrations and periodontal disease as measured by GI and LOA.

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 score0.138
Threshold uncertainty score0.274

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.040
GPT teacher head0.283
Teacher spread0.244 · 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
Published2015
Admission routes1
Has abstractyes

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