Physical Activity Assessment Prescription & Referral in Adolescents
Bibliographic record
Abstract
Introduction: Health benefits are associated with regular physical activity in children and adolescents. Exercise is Medicine is Global Initiative. Increase physical activity is advocated in various National Programs. Fit India Movement is a nation-wide movement in India to encourage people to remain healthy and fit by including physical activities and sports in their daily lives was launched by Prime Minister of India. In view of the prevalence, global reach and health effect of physical inactivity, the issue should be appropriately described as pandemic, with far-reaching health, economic, environmental and social consequences. Research question was to know physical activity, exercise prescription & referral status among adolescents of India. Methods: For this observational, descriptive, cross sectional research work ;written informed consent was taken from randomly selected 100 adolescents of age between 17-19 years and from their teachers for physical activity readiness questionnaire (PARQ Health, Canada)& for physical activity status assessment for type, frequency, duration & intensity were done and compared with norms and prescribed and referred as per Key Guidelines about Children and Adolescents physical activity given by US Department of Health & Human Services ,Exercise is Medicine ACSM &Clinical Sports Medicine Text Book Peter Brukner and Karim Khan that children and adolescents should do 60 minutes (1 hour) or more of physical activity daily this includes aerobic for most of the 60 or more minutes duration in a day should be either moderate- or vigorous-intensity aerobic physical activity, and should include vigorous-intensity physical activity at least 3 days a week and should include muscle & bone strengthening physical activity on at least 3 days of the week.Data were processed in excel sheet & SPSS. The statistical significant difference among groups was determined by the chi square test, fisher exact test and Z-test. The level of significance was ..
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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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".