Nutrient Intakes among Jordanian Adolescents Based on Gender and Body Mass Index
Bibliographic record
Abstract
Background: This study was conducted to examine the dietary intakes of macro- and micronutrients for a Jordanian adolescents based on gender and compare their intake to the Dietary Recommended Intakes (DRIs). Methods: A sample of 398 male and female adolescents, aged 14-18 years, were recruited from private and public schools using convenience sampling. Socio-demographic questionnaire and 3-days food record were self-reported. Bodyweight and height were measured and body mass index (BMI) was calculated for all participants. Results: There were no significant differences between male and female adolescents regarding the intake of micro and macronutrients except for protein, insoluble fibre, saturated fat, cholesterol, omega-6, vitamin E and calcium. The intake of insoluble fibre (g/day), omega-6(g/day), and vitamin E (mg/day) was significantly higher in female adolescents (3.1±0.1, 5.6±0.5, and 3.1±0.3, respectively, P≤0.05) compared to male adolescents (2.9±0.1, 5.1±0.4, and 2.5±0.2, respectively, P≤0.05). On the other hand, the intakes of protein (g/day), saturated fat (g/day), cholesterol (mg/day), calcium (mg/day) were significantly higher in male adolescents (90.1±2.3, 31.7±1.0, 339.2±18.3, and 651.5±27.8) as compared with female adolescents (79.2±2.1, 29.2±1.2, 263.6±14.9, and 555.2±21.7) (P≤ 0.05). Comparing of the adolescents’ nutrients intake to the DRIs, many nutrients were found to be below or above the recommendations. Conclusion: The study findings highlighted that there is an urgent need to establish a plan of action to combat malnutrition among adolescents in Jordan.
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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 | 0.000 |
| 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) | 0.001 | 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".