Mental health service use among older Canadians with anxiety and comorbid physical conditions
Bibliographic record
Abstract
OBJECTIVES: The objective of this study was to understand the relationship between mental health service use and comorbid any anxiety and commonly occurring physical conditions (i.e., arthritis, cardiovascular disease, and gastrointestinal disease) in a national sample of older Canadians. METHODS: The sample consisted of older adults aged 55 years and older from the Canadian Community Health Survey 1.2 (N = 12,792). Trained lay interviewers assessed mental disorders based on Diagnostic and Statistical Manual of Mental Disorders - 4th Edition (DSM-IV) criteria. Physical conditions were based on self-reported diagnoses by health professionals. Past-year mental health service use was categorized into whether services were utilized in the general or specialty sectors. Crosstabulations and multiple logistic regressions examined the effects of both anxiety and physical conditions on mental health service use within the general and specialty mental health sectors. RESULTS: Adjusted logistic regressions indicated that there was no effect of anxiety among older adults with gastrointestinal disease on mental health service use. Conversely, in adjusted regressions, having a comorbid anxiety disorder with cardiovascular disease or arthritis was associated with increased odds of service use from the general sector in comparison to cardiovascular disease and arthritis, respectively, alone. Additionally, older adults with comorbid any anxiety disorder and gastrointestinal disease in comparison to anxiety alone had lower rates of seeking mental health services; however, these effects were no longer significant in an adjusted model. CONCLUSION: Comorbidity between gastrointestinal conditions and anxiety was associated with unmet mental health service needs. This may be conceptualized in the context overlapping symptomatology in gastrointestinal conditions and anxiety.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".