A Longitudinal Study of Exercise Addiction and Passion in New Sport Activities: the Impact of Motivational Factors
Bibliographic record
Abstract
Abstract Recent research suggests that the risk of exercise addiction (REA) is primarily predicted by passion. However, this relationship stems from cross-sectional studies. The objective of this 12-week longitudinal investigation was to examine and compare the temporal changes in REA and passion among women and men (N = 149) who just started a new sport activity. To further test their similarities and distinctiveness, we also examined how exercise motivations predict REA and passion. Latent growth modeling showed that REA and passion were high at baseline and showed a slight increase over the 12 weeks. Passion was predicted by several motivational factors, whereas REA was predicted by being female, team sport participation, higher exercise intensity, and identified motivation. These findings suggest that the development of passion and REA over time, both being associated with sport motivations, manifest independent patterns. Consequently, despite the reported strong relationship between the two, they appear to be independent constructs.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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".