Prevalence and Predictors of Depressive Symptoms in NCAA Division III Collegiate Athletes
Bibliographic record
Abstract
Mental health disorders are important health concerns among collegiate athletes. Estimations of elevated depressive symptoms in this population range from 1.1-26%. However, these data are derived mostly from NCAA Division I institutions or professional athletes. Evidence from lower divisions (e.g., NCAA Division III) is currently sparse in the literature. Hence, the primary purpose of the present study was to examine the prevalence of depressive symptoms in NCAA Division III collegiate athletes. The secondary purpose was to examine which mental health indicators predict depressive symptoms. In total, 186 participants completed several mental health scales (e.g., PHQ-9, DASS-21). The results revealed a prevalence of 16.2% of elevated depressive symptoms. A multiple regression predicted 46.1% of the variance of depressive symptoms. Significant predictors were stress, anxiety, devaluation, and emotional exhaustion. While NCAA Division III collegiate athletes may face lower athletic expectations, the prevalence of mental health concerns is similar to those observed in Division I collegiate athletes.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".