Depression Literacy in Alberta: Findings from a General Population Sample
Bibliographic record
Abstract
OBJECTIVE: To assess the public's knowledge about depression, attitudes toward treatments for depression, perceived causal factors for depression, and reported prognoses of depression, overall and by sex. METHODS: We conducted a cross-sectional telephone survey in Alberta between February and June 2006. We used a random phone number selection procedure to identify a sample of adults in the community (n = 3047). Participants were presented with a vignette describing an individual with depression and then asked questions to assess recognition of depression, attitudes toward mental health treatments, possible causal factors for depression, and prognosis of depression. RESULTS: The response rate was 75.2 %. Among the final participants, 75.6% could correctly recognize depression described in a case vignette. General practitioners or family doctors were considered as being the best help for depression. Of the participants, 35% were in complete agreement with health professionals about appropriate interventions for depression, 28% believed in dealing with depression alone, and 43% thought that "weakness of character" was a likely cause of depression. Men had poorer mental health literacy than women and were more likely to endorse the use of alcohol to cope. CONCLUSIONS: Mental health promotion and education efforts are needed to improve the general public's mental health literacy and to clarify misunderstanding about depression. Men need to be a particular target of these efforts.
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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 | 0.000 | 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) | 0.001 | 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 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".