Changes in body-related issues among adolescent young women: Social physique anxiety, body mass index, and self-perceptions of sport competence and strength
Bibliographic record
Abstract
Understanding self-perceptions in young women is important, especially given their relationship to a variety of health-related behaviours and emotions. This study explored, in a sample of 501 adolescent women over a three year time period, whether the changes in social physique anxiety (SPA), body mass index (BMI), and self-perceptions of sport competence (COMP) and strength (STRENGTH) were related. The predictability of initial status and rate of change in each variable by the other variables was also examined. It was intended to also consider physical activity, but modeling was not viable, possibly due to the random nature of the data. This study involved a reanalysis of previously published data (Crocker et al., 2006) using latent growth curve modeling. Participants with a higher starting score in SPA, COMP, and STRENGTH had a lower rate of change. All latent growth curves were estimated simultaneously in one comprehensive model to test the relation between the change trajectories. Model fit was supported by RMSEA (.088), TLI (.96), CFI (.98), and SRMR (.02), with a variety of significant relations among initial status and rate of change in the variables. For example, rate of change in SPA was negatively related to the rate of change in COMP (-.32) and STRENGTH (-.37) and positively related to initial status of STRENGTH (.18). Rate of change in BMI and SPA were not related. In multiple predictor models, indicators showed little predictive ability beyond simple models.Acknowledgments: This research was supported by SSHRC.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".