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Record W2316350346 · doi:10.1017/s0007114512000724

Pulse consumption in Canadian adults influences nutrient intakes

2012· article· en· W2316350346 on OpenAlexafffundabout
Adriana N. Mudryj, Nancy Yu, Terryl J. Hartman, Diane C. Mitchell, Frank Lawrence, Harold M. Aukema

Bibliographic record

VenueBritish Journal Of Nutrition · 2012
Typearticle
Languageen
FieldMedicine
TopicNutritional Studies and Diet
Canadian institutionsUniversity of Manitoba
FundersSaskatchewan Pulse Growers
KeywordsMicronutrientQuartileEnvironmental healthNutrientConsumption (sociology)MedicineLogistic regressionFood sciencePopulationDemographyBiologyConfidence interval

Abstract

fetched live from OpenAlex

Pulses (dry beans, peas, lentils) are nutrient-dense foods that are recommended as good choices in either the vegetable or meat and alternative food groups in Canada's Food Guide. To examine the prevalence and the effect of pulse consumption on nutrient intake in Canadian adults ( ≥ 19 years), we analysed cross-sectional data (n 20,156) from the 2004 Canadian Community Health Survey, Cycle 2·2. Participants were divided into non-consumers and quartiles of pulse intake. Sample weights were applied and logistic regression analysis was used to explore the association of nutrient intakes and pulse consumption, with cultural background, sex, age and economic status included as covariates. On any given day, 13 % of Canadians consume pulses, with the highest consumption in the Asian population. The pulse intake of consumers in the highest quartile was 294 (se 40) g/d and, compared with non-consumers, these individuals had higher intakes of carbohydrate, fibre and protein. As well, the micronutrient intake of pulse consumers was enhanced, resulting in fewer individuals who were below the estimated average requirement for thiamin, vitamin B6, folate, Fe, Mg, P and Zn, compared with non-consumers. Although pulses are generally low in Na, its intake also was higher in pulse consumers. Among the higher quartiles of pulse consumers, fruit and vegetable intake was one serving higher. These data indicate that pulse consumption supports dietary advice that pulses be included in healthful diets. Further studies elucidating the sources of increased Na in pulse consumers will be necessary so that dietary advice to increase consumption of pulses will maximise their nutritional benefits.

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 score0.014
Threshold uncertainty score0.957

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 head0.019
GPT teacher head0.270
Teacher spread0.252 · 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

Citations137
Published2012
Admission routes3
Has abstractyes

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