The Effect of Dietary Pattern and Body Mass index on the Academic Performance of In-school Adolescents
Bibliographic record
Abstract
The main objective of this study was to determine the effects of dietary pattern and body mass index on the academic performance of in-school adolescents in Ekiti State. One hundred and twenty eight students (10-19 years) selected from three senior secondary schools in Ekiti State Nigeria, formed the participants for this study. Questionnaire was the instrument for data collection and the data were subjected to descriptive and inferential statistics (bivariate Pearson correlation analysis and linear regression) using Spss version 12 at 0.05 level of significance. Findings of this study showed that of all the adolescents, only 16.4%, 14.1%, 7.0%, 16.4% and 10.2% followed a healthy dietary pattern of regular intake of breakfast, three square meals, milk, fruits and vegetables respectively. 50%, 38.3% and 45.3% followed an unhealthy dietary pattern of regular intake of sweets, chewing gum and soft drinks. With regards to body mass index and academic performance, less than 40% of the respondents were of normal weight and only half of the respondents had good academic performance. Body mass index, breakfast consumption, eating three square meals and regular intake of fruits and vegetables all had significant effects (P <0.05) on the academic performance of adolescents. Also, there was a significant joint effect of body mass index and healthy dietary pattern on the academic performance of these adolescents. Parents and school authorities should make all efforts to ensure healthy dietary pattern among adolescents so as to enhance their academic performance.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".