Exercise-related self-perception, physical activity and intention to in-person and virtual activities among adolescent girls
Bibliographic record
Abstract
This study aimed (1) to describe the experience of adolescents and adults using FitSpirit asynchronous virtual (V) exercise videos that target adolescent girls, (2) to compare physical activity (PA) levels and exercise-related self-perception variables among groups (2019 in-person [IP], 2021 IP, and 2021 V) of adolescent girls, and (3) to assess the association between the adolescents’ PA levels and their exercise-related self-perception in response to IP (pre-pandemic and during pandemic) and V (during pandemic) FitSpirit exercise modes. Regarding the first aim, 28 adolescent girls ([15.5 ± 0.8] years old) and 29 adult women ([33.0 ± 10.3] years old) experienced the V exercise mode. For the second and third aims, 376 girls ([15.3 ± 1.7] years old) participated IP in 2019 (pre-pandemic), 339 girls ([14.9 ± 1.6] years old) participated IP in 2021 (during the pandemic), and 27 girls ([15.5 ± 0.8] years old) watched V FitSpirit exercise videos in 2021 (during the pandemic). Data was collected using online questionnaires. Chi-square (χ2) and Pearson tests were performed. Adults (76%) had a significantly higher intention to use FitSpirit exercise videos again than adolescents (14%) (p < 0.001). For IP exercise mode, we observed significant correlations between PA levels and being proud (r = 0.08, p = 0.046), feeling good (r = 0.14, p < 0.001), and being disappointed (r = −0.12, p < 0.001). For the V exercise mode, there were no significant correlations. In conclusion, better exercise-related self-perception was only correlated to PA levels when IP training was offered. These first findings support IP training for adolescent girls when the pandemic situation allows it.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".