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Record W2008460932 · doi:10.1080/03670244.2012.696012

Appetite Sensations in Pregnancy among Agropastoral Women in Rural Tanzania

2012· review· en· W2008460932 on OpenAlexfundno aff
Crystal L. Patil

Bibliographic record

VenueEcology of Food and Nutrition · 2012
Typereview
Languageen
FieldMedicine
TopicChild Nutrition and Feeding Issues
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchWashington University in St. Louis
KeywordsAppetiteTanzaniaNauseaVomitingPregnancyMedicinePoor AppetiteEnvironmental healthPediatricsInternal medicineGeographyBiology

Abstract

fetched live from OpenAlex

Women all over the globe report physical and appetite sensations in early pregnancy, and this study contributes to this growing literature by reporting on the appetite sensations experienced by pregnant women from rural Tanzania. Appetite changes associated with 545 pregnancies were compiled from surveys conducted to report on the prevalence of appetite loss, nausea, vomiting, dizziness, joint pain, cravings, aversions, and pica experienced by agropastoral women from rural north-central Tanzania. In addition to these symptoms, specific craved and aversive food groups are described. Statistical associations among appetite sensations, NVP, and birthweight are tested. The only symptom associated with a lower average birth weight for newborns was vomiting. In addition to investigating micronutrient content and chemical properties of specific food and non-food items, future research should include assessing relationships among various appetite sensations and short- and long-term health outcomes for both the mother and child.

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.029
GPT teacher head0.291
Teacher spread0.262 · 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
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

Citations20
Published2012
Admission routes1
Has abstractyes

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