OBESITY, EATING BEHAVIOR AND PHYSICAL ACTIVITY DURING COVID-19 LOCKDOWN: A STUDY OF INDIAN TEENAGERS
Bibliographic record
Abstract
Lockdowns measures including closure of educational institutions due to COVID-19 may affect youth's activity patterns, psychological stress and obesity status. This is the first kind of study in India on the basis of a large number of teenage subjects from the COVID-19 Impact on Lifestyle Changes. Through an online questionnaire, 144 participants from high schools, aged 10-19 years, voluntarily reported their lifestyles and weight, basal metabolic rate (BMI) status in between 19th July to 12th August 2020 (before and after lockdown). Our data suggest that teenagers having prevalence of significant weight (49.6±15.5 to 52.1±15.2 Kgs p <0.001) and BMI (21.0± 1.2 to 22.7±.1.7 p<0.01) gain. Data further showed that this weight gain was for 71.1 % teenagers and BMI 67.2% subjects. Also, significant decreases were seen in the frequency of engaging in active physical activity, and leisure-time walking, while significant increases were observed in the average sedentary time during weekdays and weekends. Our findings would serve as important evidence for making strategies to counteract or reverse the lockdown effects on youths' obesity
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".