Decreasing screen time and/or increasing exercise only helps in certain situations for young adults
Bibliographic record
Abstract
There seems to be a lack of consensus about whether greater screen time is highly correlated to greater body mass index (BMI) (and lower physical exercise). What has been proven is that the vast majority of children and adolescents spend a "lot of time" indulging in screen-based leisure. The aim of this study was to investigate, among young adults, screen time and physical activity/fitness. A questionnaire was developed and circulated to young adults via media networks (i.e. email, social media platforms, etc.). There was no geographic restriction, and the survey was designed in English. Two people did not consent to the study, while 262 consented and completed the survey. The vast majority of participants resided in Canada, with a noticeable minority living in the United Kingdom and the United States. Of the participants, 46% were 18 or 19 years old, 30% were between the ages of 20 and 22 years and the remaining 24% were split evenly between the age cohorts of under 18 years and over 22 years. Four of 262 (2%) participants did not disclose their sex, 66% reported as female and 32% noted they were male. The BMI ranged from 14.4525 to 39.5325, and had a mean of 22.8155 and standard deviation of 4.1939. Among people who spent less than 4 h of exercise a week, those who spent more than 5 h on screen time based activities had a higher BMI (p = 0.0032) of 23.8151 vs. 21.7879 for those who spent less than 5 h. There was no relation between screen time and BMI among people who spent more than 4 h of exercise a week (p = 0.6209). Between exercise groups who spent less than 5 h of screen time a day, there was no relation between hours of exercise and BMI (p = 0.1242). There seems to exist a trend that among those who spend more than 5 h of screen time a day, less exercise is related to higher BMI (p = 0.0510) - 23.8151 vs. 22.4361. Healthy lifestyle choices such as fewer screen time hours and more exercise can be beneficial to young adults. Among certain groups, such as those who spend a lot of time on screens and those who do not exercise regularly, the benefits of more exercise and less screen time, respectively, are much more noticeable.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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".