Perfectionism, Anxiety, and Depressive Distress: Evidence for the Mediating Role of Negative Automatic Thoughts and Anxiety Sensitivity
Bibliographic record
Abstract
OBJECTIVE: This study assessed a mediational model in which negative automatic thoughts and anxiety sensitivity were hypothesized to mediate the relationship between perfectionism cognitions and depressive and anxiety symptoms. PARTICIPANTS: Participants were undergraduate students from an urban Canadian university. The data were collected from July 2009 to August 2010. METHODS: In a cross-sectional evaluation, 992 undergraduate participants completed questionnaires that assessed perfectionism cognitions, negative automatic thinking, anxiety sensitivity, and anxiety and depressive symptoms. RESULTS: Mediational analysis confirmed the role of anxiety sensitivity and negative automatic thoughts in mediating the association between perfectionistic cognitions, anxiety symptoms, and depressive distress. Furthermore, in line with previous studies, nearly a third of students displayed an elevated prevalence of anxiety and depressive symptoms. CONCLUSIONS: This study further clarified the associations and mediating relationships among mood states associated with perfectionism.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".