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Record W2953234681 · doi:10.1093/cdn/nzz039.p18-040-19

Do Americans Get Enough Nutrients from Food? Assessing Nutrient Adequacy with NHANES 2013–2016 (P18-040-19)

2019· article· en· W2953234681 on OpenAlex
Matthew A. Pikosky, Christopher J. Cifelli, Sanjiv Agarwal, Victor L. Fulgoni

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCurrent Developments in Nutrition · 2019
Typearticle
Languageen
FieldMedicine
TopicNutritional Studies and Diet
Canadian institutionsImpact
Fundersnot available
KeywordsNational Health and Nutrition Examination SurveyNutrientEnvironmental healthDietary Reference IntakeMedicinePopulationVitaminDemographyGerontologyMicronutrientBiologyEndocrinology

Abstract

fetched live from OpenAlex

Following dietary recommendations should ensure adequate consumption of essential nutrients, including key nutrients that tend to be underconsumed. The objective of this analysis was to determine if Americans are meeting nutrient needs, especially for shortfall nutrients, as defined by the Dietary Guidelines for Americans, by assessing average food intakes with data from the National Health and Nutrition Examination Survey (NHANES) from 2013–2016. Twenty-four-hour dietary recall data from children age 2–18 years (n = 5670) and adults age 19–99 years (n = 10,112) participating in NHANES 2013–2014 and 2015–2016 were analyzed using day one sample weights. Usual intake of nutrients was determined using the National Cancer Institute method with two dietary recalls. The percentage of population with inadequate (intake below the Estimated Average Requirement) or sufficient (intakes above the Adequate Intake, AI) intake of shortfall nutrients was determined using the cut-point method. With iron, the probability method was used instead. Nearly half of the population does not consume adequate calcium (47.4 ± 1.8% children; 44.5 ± 1.1% adults). Even more of the population does not consume enough vitamin D (93.7 ± 0.8% children; 94.8 ± 0.5% adults). Non-Hispanic black children and adults had higher rates of inadequate calcium and vitamin D consumption than other ethnic groups. Large proportions of the population also do not consume enough magnesium (36.2 ± 1.4% children; 53.3 ± 1.2% adults), vitamin A (23.8 ± 2.0% children; 45.5 ± 1.1% adults), vitamin C (22.6 ± 1.6% children; 48.3 ± 1.3% adults) or vitamin E (67.2 ± 1.3% children; 79.0 ± 1.3% adults). Approximately 2.95 ± 0.47% children and 6.02 ± 0.30% adults had inadequate iron intake. Only a small proportion of children and adults consumed more dietary fiber and potassium than the AI for their age groups. Additionally, 20.0 ± 1.1% children and 8.31 ± 0.73% adults had choline intake above the AI. Large percentages of American children and adults do not meet recommendations for underconsumed “nutrients of public health concern” or shortfall nutrients. Encouraging children and adults to consume nutrient-rich foods, such as dairy, fruits and vegetables, can help close these gaps. National Dairy Council.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.605
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.039
GPT teacher head0.317
Teacher spread0.278 · 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