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Record W2028911918 · doi:10.3148/69.1.2008.28

<i>Should Long-term Care Residents</i> Be Supplemented with Vitamin D?

2008· review· en· W2028911918 on OpenAlexafffundvenueabout
Tracy Lister

Bibliographic record

VenueCanadian Journal of Dietetic Practice and Research · 2008
Typereview
Languageen
FieldMedicine
TopicVitamin D Research Studies
Canadian institutionsAthabasca University
FundersAthabasca University
KeywordsVitamin D and neurologyvitamin D deficiencyMedicineGerontologyLong-term careVitaminSun exposureEnvironmental healthNursingEndocrinology

Abstract

fetched live from OpenAlex

The Health Canada recommendation of 600 IU of vitamin D daily for those over age 70 may be inadequate to prevent deficiencies. A literature search was conducted to examine whether older people living in long-term care (LTC) facilities are at high risk for vitamin D deficiency and therefore should receive a minimum daily supplement of 800 IU. The search included the major databases; the search terms "elderly" and "vitamin D" were used. Articles primarily related to calcium were excluded. The results show that North American seniors generally consume a diet low in vitamin D and have limited sun exposure. The majority, particularly those living in LTC facilities, may have a vitamin D deficiency. Also contributing to deficiencies is an age-related decline in cutaneous production of vitamin D and altered metabolic processes responsible for converting vitamin D to its active form. In summary, research conducted in both Canada and the United States provides sufficient evidence to indicate that older people living in LTC facilities are at high risk for vitamin D deficiency and should receive a minimum daily supplement of 800 IU.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.022
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0030.004
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.161
GPT teacher head0.471
Teacher spread0.310 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations7
Published2008
Admission routes4
Has abstractyes

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