Relationships Between Physical Activity, Boredom Proneness, and Subjective Well-Being Among U.K. Adults During the COVID-19 Pandemic
Bibliographic record
Abstract
This investigation sought to examine physical activity (PA) as a potential determinant of chronic boredom and associated well-being within the context of COVID-related restrictions. A representative sample of U.K. adults (N = 1,521) completed a survey on June 1, 2020. Bivariate analyses demonstrated that individuals who met guidelines and maintained or increased PA scored higher on life satisfaction, worthwhileness, and happiness and lower on anxiety (i.e., indicators of well-being) and boredom proneness (d = 0.13-0.43). Boredom proneness was correlated with all indicators of well-being (r = .38-.54). A series of regression models revealed that PA predicted lower boredom proneness and better life satisfaction, worthwhileness, and happiness. Boredom proneness accounted for the covariance between PA and well-being. Prospective research is needed to confirm causality of the observed relationships.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".