Eating Habits Effects on High School Student’s Achievement in Rania City
Bibliographic record
Abstract
Objective(s): The purpose of this study is to find out the relationship between some of the sociodemographic characteristics with anthropometric (BMI), achievement, and eating habits of high school students. Methodology: The study applies quantitative design, a Descriptive cross-sectional study. The study was initiated on (November 1st, 2021 – August 9th, 2022). The study was carried out in High School in Rania City. We select a random sample of one class in each high school, and we interviewed (246) students in 11 different high schools. Results: show near the three-quarters percentage of females (71.1%) is higher than the male percentage (28.9%), while near half of them are 17 years old (43.5), 16 years old (39.4%), 18 years old (13.4%), and a lower percentage is 19 years old (3.7). The economic status of near half of students is barely sufficient (48.4%), sufficient (47.2%), and only (4.5%) students are insufficient. Results show that one-third of the students failed the first round (32.9%), and more than two-thirds passed (67.1%). Near a quarter of the samples are underweight (18.7%), and near a quarter of students are overweight and obese (17.5%). These research findings show no significant correlation between academic achievement and body mass index. Shows a significant relationship between skipping breakfast and gender, and between physical activity levels and students’ academic achievement. Conclusion: The results of the study showed that skipping breakfast affects students' weight, causing weight gains such as overweight and obesity. Also, female students are skipping breakfast more and have better academic achievement than boys. The findings indicate that increasing levels of physical activity of students have a positive effect on their academic achievement.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.004 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".