Factorial validity and gender invariance of the Patient Health Questionnaire (PHQ-9) in student-athletes
Bibliographic record
Abstract
BACKGROUND/PURPOSE: Depressive symptoms are prevalent in student-athletes. Evidence for the factorial validity of measures assessing depressive symptoms in student-athletes is presently absent from the literature. This study examined the best fitting factorial structure and invariance across sexes of the PHQ-9. METHODS: Data were collected from 1,524 student-athletes from institutions in the North-Eastern United States. Confirmatory factor analyses of 4 factorial structures of the Patient Health Questionnaire-9 (PHQ-9) were conducted, followed by invariance analyses across sexes. RESULTS: All tested models showed an excellent fit for all tested models and a unidimensional model of the PHQ-9 was chosen for further analyses. Metric and scalar invariance for the identified model across sexes was supported. The participants in this study reported an unusually low (3.13%) prevalence of elevated depressive symptoms, which may indicate underreporting of symptoms. CONCLUSION: the PHQ-9 is a valid assessment of depressive symptoms in male and female student-athletes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".