<div>Psychosocial predictors of nonadherence to medical management among patients on maintenance dialysis</div>
Bibliographic record
Abstract
Background: A number of reports suggest a link between depression and nonadherence to recommended management for end-stage renal disease (ESRD) patients on maintenance dialysis. However, the relationship between nonadherence and other psychosocial factors have been inadequately examined. Objectives: To examine the prevalence of psychosocial factors including depression, anxiety, insecure attachment style, as well as cognitive impairment and their associations with adherence to recommended management of ESRD. Methods: A cross-sectional observational study was carried out from 2014 to 2015. Chronic dialysis patients were recruited conveniently from four major dialysis units in Riyadh, Saudi Arabia. Nonadherence was defined as decreased attendance in dialysis sessions, failure to take prescribed medications, and/or follow food/fluid restrictions and exercise recommendations. Results: A total of 234 patients (147 males and 87 females) were included in this analysis, with 45 patients (19.2%) considered as nonadherent (visual analog scale < 8). Approximately 17.9% of the patients had depression (Patient Health Questionnaire score ≥10), 13.2% had anxiety (Hospital Anxiety and Depression scale-anxiety >7), while 77.4% had cognitive impairment (Montreal Cognitive Assessment score <26). Nonadherence was significantly associated with depression and anxiety ( p <0.001 for both) but not cognitive impairment ( p =0.266). The Experiences in Close Relationships – Modified 16 (ECR-M16) scale score was 27.99±10.87 for insecure anxiety and 21.71±9.06 for insecure avoidance relationship, with nonadherence significantly associated with anxiety ( p =0.001) but not avoidance ( p =0.400). Conclusion: Nonadherence to different aspects of ESRD continues to be a serious problem among dialysis patients, and it is closely linked to depression and anxiety. The findings from this study reemphasize the importance of early detection and management of psychosocial ailments in these patients. Keywords: dialysis, nonadherence, depression, anxiety, Saudi Arabia
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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) | 0.000 | 0.001 |
| 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) | 0.001 | 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".