MétaCan
Menu
Back to cohort
Record W2973025283 · doi:10.5430/jnep.v9n11p107

An intervention based on self efficacy and parenting competence to help recovery childhood malnutrition

2019· article· en· W2973025283 on OpenAlexvenueno aff
Alicia Vértiz-Cardona, Josefina Gallegos-Martínez, Jaime Reyes‐Hernández

Bibliographic record

VenueJournal of Nursing Education and Practice · 2019
Typearticle
Languageen
FieldMedicine
TopicChild Nutrition and Feeding Issues
Canadian institutionsnot available
Fundersnot available
KeywordsMalnutritionMedicineChristian ministryCompetence (human resources)GerontologyPsychology

Abstract

fetched live from OpenAlex

Objective: To assess the effect of the program “Foundations for a healthy life” on parental competence for correct nutrition and on nutritional status of malnourished grade 1 children on a program of nutritional recovery with Amaranth.Methods: Design: Before-after study with intervention and follow up, from June 2015 to November 2017. Instruments: Scale Seca 700, stadiometer Seca 220, Reminder 24 hours and Self-perception of Parental Competence Tool. Setting: Ministry of Health: Nutritional Recovery Program. Participants: Intervention group: Twenty-six dyads caregiver-malnourished grade one children; Control group: Thirty-two malnourished grade one children. Intervention: “Foundations for a healthy life” program. Variables: Nutritional status, parental competence, Kilocalories, macronutrients, fruit and vegetables. Analysis: Wilcoxon and t student tests, Relative Risk, 95% CI, significance p ≤ .05.Results: Intervention vs control group: normalization on the nutritional status 63% vs 29% (p ≤ .05). Caloric adequacy 27% to 81% and protein adequacy 23% to 58%, increased intake of fruits and vegetables. Caregivers trained was associated with the improvement of the nutritional status of the children: post-intervention third month (RR 2.27, 95% CI, p ≤ .05).Conclusions and Implications: The program was effective in improving nutritional status and PCCN by continuing for three months. It is recommended follow-up six months to verify development of new habits.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.899
Threshold uncertainty score0.273

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.036
GPT teacher head0.392
Teacher spread0.356 · 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

Citations2
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Nursing Education and PracticeSame topicChild Nutrition and Feeding IssuesFrench-language works237,207