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Record W2936385580 · doi:10.1080/03670244.2019.1602042

A Nutrition Education Intervention to Increase Consumption of Pulses Showed Improved Nutritional Status of Adolescent Girls in Halaba Special District, Southern Ethiopia

2019· article· en· W2936385580 on OpenAlexaff
Roza Dansa, Fikadu Reta, Demmelash Mulualem, Carol J. Henry, Susan J. Whiting

Bibliographic record

VenueEcology of Food and Nutrition · 2019
Typearticle
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsUnderweightIntervention (counseling)Nutrition EducationBody mass indexMedicineEnvironmental healthGerontologyDemographyPediatricsOverweightNursingInternal medicine

Abstract

fetched live from OpenAlex

This study aimed to determine the effect of a 6-month in-school nutrition education intervention to improve pulse consumption on weight status of adolescent girls in Ethiopia. At the intervention school, 66 girls received bi-monthly lessons that included recipes and tastings. Girls (n = 66) at the control school had usual in-school activities. With pulse-based nutrition education which included discussions and demonstrations, knowledge, attitude and practice scores improved (p < 0.001) in the intervention group while control scores remained low and unchanged. Prevalence of underweight, measured as Body Mass Index (BMI) for age, decreased with the education intervention, from 13.6% to 3% (p = 0.004), while there was no significant change seen in control girls. In Ethiopia, equipping girls in schools with the knowledge and skills to improve food intake by consuming locally grown pulses may mitigate underweight in Ethiopian female adolescents.

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 score0.198
Threshold uncertainty score0.836

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.011
GPT teacher head0.268
Teacher spread0.257 · 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

Citations18
Published2019
Admission routes1
Has abstractyes

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