Exploring the potential for internet-based interventions for treatment of overweight and obesity in college students
Bibliographic record
Abstract
OBJECTIVE: To assess the use of internet-enabled technology for seeking health information and resources in overweight/obese college students. PARTICIPANTS: College students (N = 706) in Vancouver, Canada surveyed in April 2012. METHODS: An online survey assessed socio-demographics, health behaviors, and use of internet-enabled technology. RESULTS: Eating habits, dieting and/or exercising to lose weight, and weight satisfaction differed by weight status (all p < 0.05). Of overweight/obese participants, 48% reported they would use online student health resources. When seeking general health information, 91% would use websites; 45% would use online videos; and 75% trusted information from government or health organizations. CONCLUSIONS: Overweight/obesity is prevalent among college students. The majority of overweight/obese students reported trying to lose weight and would use the internet for health information, especially if a website is associated with a health organization. The internet is a cost-effective channel for screening coupled with the delivery of tailored, evidence-based interventions for college students.
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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 | 0.002 | 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 | 0.001 | 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) | 0.000 | 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".