Psychological distress, social support, and use of outpatient care among adult men and women with coronary artery disease or other non-cardiovascular chronic disease
Bibliographic record
Abstract
OBJECTIVES: Psychological distress, as defined by elevations in symptoms of depression, anxiety, and/or perceived stress, is frequent in patients with chronic diseases, such as coronary artery disease (CAD). While psychological distress is known to impact disease outcomes, less is known about its influence on health care utilization, or on the factors that may modify these relationships. This prospective study examined whether 1) psychological distress predicts greater use of outpatient care services over a period of up to eight years in middle-aged to older individuals with CAD or other non-cardiovascular chronic diseases; 2) this relationship differs according to sex, presence of CAD, and/or social support. METHODS: Men and women (N = 1236; aged 60.85 ± 6.95 years) with and without CAD completed validated questionnaires on symptoms of depression, anxiety, perceived stress, and social support. Number of medical outpatient visits was obtained from the Régie de l'assurance maladie du Québec. Analyses included bivariate correlations, hierarchical regressions, and moderation analyses, controlling for sociodemographic and lifestyle variables. RESULTS: Psychological distress, social support, and yearly outpatient visits were significantly correlated (ps < 0.05). In regression analyses, only depressive symptoms were associated with significantly greater use of outpatient care (b = 0.048, p = .004), particularly among CAD patients (b = 0.085, p < .001). Neither sex nor social support moderated this relation. CONCLUSION: Depression predicted greater outpatient visits in patients with chronic disease, especially CAD patients. More research is needed to determine whether psychosocial interventions may have an impact on health care utilization.
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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) | 0.001 | 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 | 0.001 |
| 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".