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Record W2131872507 · doi:10.1177/1757975913476905

Predisposing, facilitating and reinforcing factors of healthy and unhealthy food consumption in schoolchildren: a study in Ouagadougou, Burkina Faso

2013· article· en· W2131872507 on OpenAlex

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

VenueGlobal Health Promotion · 2013
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsEnvironmental healthMedicineConsumption (sociology)Healthy foodUnhealthy foodFood consumptionPediatricsObesityFood scienceBiology

Abstract

fetched live from OpenAlex

OBJECTIVE: African schoolchildren's dietary habits are likely changing in the realm of the nutrition transition, particularly in urban areas, but data on their diet and on determinants are scanty. In order to design relevant interventions for this priority target group, the study aimed to assess food habits and their determinants in schoolchildren of Ouagadougou. METHODS: In a cross-sectional survey, fifth-grade schoolchildren filled during school hours a questionnaire to assess consumption frequency of 'healthy' foods (fruits, vegetables, meat, fish, legumes) and 'unhealthy' (superfluous) items (cake, cookies, candies, ice, soda) and underlying factors, using Green's PRECEDE model. RESULTS: The study included 769 schoolchildren, mean age 11.7 ± 1.4 years, from eight public and four private schools. Consumption scores of unhealthy items were significantly higher than healthy foods (p = 0.001). During the week prior to the survey, 25% of children had eaten no fruit, 20% no meat, 20% no legumes, 17% no fish and 17% no vegetables. While less than 4% ate fruits or vegetables every day, 18.3% ate ice pop every day. Children eating cookies, cakes and candy every day were up to seven-fold those eating fruits, vegetables or legumes. Compared to public-school pupils, those from private schools consumed both healthy and unhealthy items more frequently (p = 0.002 and p = 0.007, respectively). Urban schoolchildren had significantly higher unhealthy food scores (p = 0.027) compared to peri-urban schools. Children's healthy and unhealthy food consumption was primarily explained by perceived decisional power and availability [facilitating factors] for both types of foods, and maternal reinforcement for healthy foods and peers' reinforcement for consumption of unhealthy items. Overall, facilitating factors rated higher for unhealthy than healthy foods. CONCLUSION: The study showed that city schoolchildren's eating behaviours are far from optimal. Nutrition interventions should be tailored to address the underlying factors in order to impact on behaviours, thereby preventing both dietary inadequacies and excess.

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)0.001
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 score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.034
GPT teacher head0.345
Teacher spread0.312 · 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