Anxiety And Depressive Symptoms And Health-Related Quality Of Life Status Among Patients With Cancer In Terengganu, Malaysia
Bibliographic record
Abstract
Objective: This study was aimed to determine the prevalence of anxiety and depressive symptoms , to examine their association with health-related quality of life (HRQoL) profiles and to determine the predictors on overall HRQoL. Methods: This was a cross-sectional study conducted in Hospital Sultanah Nur Zahirah, Kuala Terengganu, Malaysia. The Malay Hospital Anxiety and Depression Scale (HADS) and McGill Quality of Life Questionnaire (MMQoL) were administered to a sample of 150 cancer patients (mean age = 50.4 years). Chi-square test, correlation and multiple regression were utilised for data analysis. Results: The prevalence for mild anxiety and depressive symptoms was 30.7% and 23.3% respectively. The HADS-A correlated strongest with Total MMQoL Score (r = - 0.578) and Psychological Well-Being (r = -0.526). Only HADS-A (beta = - 0.486), and HADS-D (beta = -0.173) were significant in predicting overall health-related quality of life. Conclusion: Findings in our study indicated that the prevalence of anxiety and depressive symptoms in Terengganu cancer patients are moderate. If anxiety and depression are identified and treated, health-related quality of life among oncology patients appropriately could significantly be improved. ASEAN Journal of Psychiatry, Vol.12(1): Jan - June 2011: XX XX
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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) | 0.000 | 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".