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Record W4380876895 · doi:10.1002/alz.066938

Longitudinal association between exposure to vitamin D supplementation and incident dementia – A study of dementia‐free older adults

2023· article· en· W4380876895 on OpenAlexaff
Maryam Ghahremani, Hung‐Yu Chen, Byron Creese, Zahra Goodarzi, Eric E. Smith, Zahinoor Ismail

Bibliographic record

VenueAlzheimer s & Dementia · 2023
Typearticle
Languageen
FieldMedicine
TopicVitamin D Research Studies
Canadian institutionsHotchkiss Brain InstituteUniversity of Calgary
Fundersnot available
KeywordsDementiaVitamin D and neurologyMedicineErgocalciferolCholecalciferolProportional hazards modelvitamin D deficiencyInternal medicineRisk factorVitaminGerontologyDisease

Abstract

fetched live from OpenAlex

Abstract Background In the absence of clear disease‐modifying drugs for dementia, modifiable risk factors have been explored to slow disease progression. Vitamin D deficiency is a risk factor, associated with higher risk of dementia. However, the role of vitamin D supplementation has been a subject of debate. Here we explored longitudinal associations between vitamin D supplementation and incident dementia in dementia‐free older adults from the National Alzheimer’s Coordinating Center (NACC). Method All participants had normal cognition (NC) or mild cognitive impairment (MCI) at baseline. Exposure to vitamin D supplementation was based on the NACC A4 medication form. Three vitamin D formulations were considered: calcium‐vitamin D, cholecalciferol, and ergocalciferol. For the primary analysis, participants with baseline exposure to any supplement were considered D+, while those without any exposure in advance of dementia diagnosis were considered D‐. Kaplan‐Meier curves were generated to compare ten‐year dementia‐free survival between D+ and D‐ groups. Cox proportional hazards models were implemented to assess the risk of dementia across vitamin D exposure groups, adjusted for baseline age, sex, years of education, race, APOE‐e4 status, cognitive diagnosis, and depression. To distinguish the associations of various vitamin D formulations with risk of dementia, sensitivity analyses were conducted to independently examine the effect of each formulation (calcium‐vitamin D, cholecalciferol, ergocalciferol). Result The final sample consisted of 2836 D+ (mean age = 72.1; 68.4% female) and 5075 D‐ participants (mean age = 72; 45.1% female). MCI was more prevalent in D‐ vs D+ participants (35.7% vs 26.8%; p<0.001). Similarly, depression was more prevalent in D‐ vs D+ participants (6.9% vs. 4.3%, p<0.001). Across all three vitamin D formulations, exposure was associated with longer dementia‐free survival (p<0.001) and lower adjusted hazard ratio (HR) for incident dementia compared to no exposure (calcium‐vitamin D: HR = 0.56, 95%CI: 0.47‐0.67, p<0.001; cholecalciferol: HR = 0.72, 95%CI: 0.56‐0.91, p = 0.007; ergocalciferol: HR = 0.75, 95%CI: 0.63‐0.89, p<0.001) Conclusion Our findings demonstrate that while adjusting for demographic, cognitive, behavioral, and genetic factors, exposure to vitamin D supplementation (calcium‐vitamin D, cholecalciferol, or ergocalciferol) in dementia‐free older adults was associated with lower risk of dementia, implicating vitamin D as a potential agent for dementia prevention.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.013
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.032
GPT teacher head0.328
Teacher spread0.296 · 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
Published2023
Admission routes1
Has abstractyes

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