Dietary Habits among Adolescent Girls and Their Association with Parental Educational Levels
Bibliographic record
Abstract
BACKGROUND: Adolescence is a period of rapid psychological development and the appearance of secondary sex characteristics. Changes in facial structure are the most visible manifestation during this period. It is during adolescence period that the importance of optimal nutrients is greatest. Improving the nutrition of teenage girls especially is important girls because consequently will affect the health in future. In present study hypothesis is that improving the nutrition of teenage girls is correlated with the level of parental education and the adolescents' eating habits. METHODS: In this study, 386 random selected adolescent girls were selected by cluster sampling. We used questionnaire to study the level of knowledge to major nutritional problems and consuming optimal nutrients. Finally, collected data were analyzed by using descriptive techniques and statistical analysis. RESULTS: According to the results of present study the mean of age, weight and height of the participants were 13/2 years, 159/1 cm, and 52.05 kg respectively. The 48.4 percent of the participants not eat breakfast. The 67.4 percentages of girls daily were consuming bread and cereals, 57.5 fruits and vegetables, 62.7 dairy products, and 27.7 meat and eggs. In addition, 36.3 percentages of these girls consumed sweets everyday as part of their diet. The nutritional knowledge of participating in diet was on the average and common source of information were counselors and teachers at school (36 percentages). The results of our study revealed that there was a significant relationship between variations in level of parental educational level and dietetic safety of offspring (p < 0.05). Our conclusion is the interactive education and parental literacy especially is important regarding to the adolescent nutrition and health.
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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 | 0.001 | 0.001 |
| 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".