Prevalence of Depression and Prescriptions for Antidepressants, Bella Coola Valley, 2001
Bibliographic record
Abstract
OBJECTIVE: To determine the prevalence of depression-anxiety disorders and the degree to which physicians prescribed antidepressants for Aboriginal and non-Aboriginal populations living in a remote rural community in British Columbia in 2001. METHODS: To obtain data for our main outcome measures, we retrospectively reviewed the charts of 2375 patients living in the Bella Coola Valley as of September 2001 and attending the Bella Coola Medical Clinic. RESULTS: The 2001 prevalence rate of depression-anxiety disorders in the Bella Coola Valley was 7.5% (177/2375). Depression was the most common problem (86%) in these patients. Women had a higher rate of depression-anxiety disorders (10.3%) than did men (4.7%) (P < 0.001). Non-Aboriginal people had a slightly higher rate (8.5%) than did Aboriginal people (6.3%); however, the difference was not statistically significant. Antidepressant medications were commonly prescribed for chronic pain and insomnia. The general pattern of antidepressant medication use in 2001 among both Aboriginal and non-Aboriginal people living in the Bella Coola Valley was as follows: peak use of antidepressants was in the middle to late years; the rate for women was roughly double the rate for men; and proportionately more Aboriginal people, especially the women, were taking antidepressants. CONCLUSIONS: Depression-anxiety disorder prevalence rates for Aboriginal and non-Aboriginal populations are similar. When using antidepressant medication prescriptions as a community health indicator, health care administrators should be aware that antidepressant medications are commonly prescribed for conditions other than depression-anxiety disorder.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".