Post-traumatic stress syndrome in a large sample of older adults: determinants and quality of life
Bibliographic record
Abstract
OBJECTIVES: The aims of this study are to assess in a sample of older adults consulting in primary care practices the determinants and quality of life associated with post-traumatic stress syndrome (PTSS). METHOD: Data used came from a large sample of 1765 community-dwelling older adults who were waiting to receive health services in primary care clinics in the province of Quebec. PTSS was measured with the PTSS scale. Socio-demographic and clinical characteristics were used as potential determinants of PTSS. Quality of life was measured with the EuroQol-5D-3L (EQ-5D-3L) EQ-Visual Analog Scale and the Satisfaction With Your Life Scale. Multivariate logistic and linear regression models were used to study the presence of PTSS and different measures of health-related quality of life and quality of life as a function of study variables. RESULTS: The six-month prevalence of PTSS was 11.0%. PTSS was associated with age, marital status, number of chronic disorders and the presence of an anxiety disorder. PTSS was also associated with the EQ-5D-3L and the Satisfaction with Your Life Scale. CONCLUSION: PTSS is prevalent in patients consulting in primary care practices. Primary care physicians should be aware that PTSS is also associated with a decrease in quality of life, which can further negatively impact health status.
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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 | 0.000 |
| 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".