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Record W2993873668

Socio-economic status and vitamin/ mineral supplement use in Canada.

2010· article· en· W2993873668 on OpenAlexaffabout
Hassanali Vatanparast, Jennifer L. Adolphe, Susan J. Whiting

Bibliographic record

VenuePubMed · 2010
Typearticle
Languageen
FieldMedicine
TopicAntioxidant Activity and Oxidative Stress
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsEnvironmental healthMedicineSocioeconomic statusLogistic regressionVitaminNational Health and Nutrition Examination SurveyPopulationDemographyVitamin D and neurologyGerontology
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: The link between diet quality and socio-economic status (SES) may extend to the use of vitamin/ mineral supplements. This article examines factors related to Canadians' use of such supplements, with emphasis on associations with household income and education. DATA AND METHODS: The data are from the 2004 Canadian Community Health Survey-Nutrition (n = 35,107). The prevalence of vitamin/mineral supplement consumption during the previous month was recorded. Supplement use at the national level was estimated by age/sex groups, SES and chronic conditions. Logistic regression was used to determine significant associations between socio-economic factors and vitamin/mineral supplement use. Estimates of usual calcium intake from food and from food plus supplements were obtained using SIDE-IML. RESULTS: The prevalence of supplement use was significantly higher in females than in males in all age groups 14 or older. Age, being female, high household income and education, and being food-secure were positively associated with supplement use. Supplement use substantially increased the percentage of the population, particularly older adults, meeting the Adequate Intake level for calcium. INTERPRETATION: The reported use of vitamin/mineral supplements varies by age, sex and SES. The relatively low prevalence of use among Canadians of low SES is similar to findings from American studies. These individuals, already at risk for inadequate intake from food, do not make up the difference with vitamin/ mineral supplements.

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)0.000
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 score0.296
Threshold uncertainty score0.324

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.017
GPT teacher head0.224
Teacher spread0.207 · 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

Citations68
Published2010
Admission routes2
Has abstractyes

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