Disordered eating behaviors and sedentary lifestyle prevention program for Mexican adolescents.
Bibliographic record
Abstract
Introduction: The prevalence of student food insecurity at Memorial University of Newfoundland (MUN) is high (39.9%) compared to the surrounding general population (8.1% in 2012). Objective: Our study explored the relationship between food security status and perceived health among MUN students. Methods: We collected data using an online survey distributed to returning MUN students in the Fall 2016 semester, who were registered at a MUN campus in St. Johnu2019s, NL. The survey was circulated through e-mails, posters, and social media. We used Statistic Canadau2019s Household Food Security Survey Module (HFSSM) to assess food security and we asked participants to rate their physical health, mental health, and stress level using validated questions from the Canadian Community Health Survey. We also collected demographic information. We used logistic regression to compare health ratings between students of different food security levels. Results: A total of 967 students met our inclusion criteria. Of these, 39.9% were considered food insecure, with 28.2% experiencing moderate food security, and 11.7% experiencing severe food insecurity. After controlling for significant predictors, students who were moderately or severely food insecure were 1.72 (95% CI = 1.20-2.48) and 2.81 (1.79-4.42) times as likely to rate their physical health as u2018fairu2019 or u2018pooru2019 than food secure students, and 1.66 (95% CI = 1.22-2.27) and 4.23 (95% CI = 2.71-6.60) times as likely to rate their mental health as u2018fairu2019 or u2018pooru2019 then food secure students, respectively. Conclusions: Our findings suggest that food security levels of MUN students are closely related to perceived physical and mental health. Lower food security levels were associated with poorer self-reported physical and mental health. Significance to the field of dietetics: Dietitians working with the university student population should screen for food security and dietitians working in public policy should consider the challenges of food insecurity among this population.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".