The student mental health crisis: Assessing psychiatric and developmental explanatory models
Bibliographic record
Abstract
INTRODUCTION: Student mental health problems are now commonly understood using a psychiatric model in which diagnosed anxiety and mood disorders are viewed to be so widespread as to constitute a crisis. Less attention is given to the role of developmental processes, such as identity formation and purpose, in understanding the types of distress current university students can experience. We fill this void by simultaneously assessing the effectiveness of both psychiatric and developmental variables in predicting how often students feel emotional distress in the form of frequently feeling too anxious, depressed, or overwhelmed to study. METHODS: Binary logit models were fitted to online survey data collected from a cross-sectional, nation-wide sample of 1010 Canadian full-time university students aged 18 to 24 (63% female). RESULTS: Our findings confirm that the psychiatric and developmental models both explain variance in academic distress. We also found that a developmental model operationalized using key measures of identity formation and purpose significantly accounted for academic distress, over and above variance explained by psychiatric diagnoses. In other words, not only do many students with a psychiatric diagnosis experience distress linked to problems with identity/purpose that interferes with studying, but so do a considerable proportion of students without any diagnosis. This impact persists after controlling for a host of variables assessing demographic/family background, academic preparation and performance, and a number of factors believed to aggravate emotional distress. CONCLUSIONS: Universities can respond to the mental health crisis by approaching some forms of distress as developmental problems associated with identity and purpose.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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".