Social Support and Quality of Life in Hemodialysis Patients: A Comparative Study with Healthy Controls
Bibliographic record
Abstract
Background and Objectives: Hemodialysis patients face significant physical and psychological challenges, including diminished quality of life and reduced social support. This study aimed to assess the levels of social support and quality of life in hemodialysis patients and identify the sociodemographic and dialysis-related factors influencing these outcomes. Materials and Methods: This study included 115 hemodialysis patients and 107 healthy controls. Social support was measured using the Modified Social Support Survey (MSSS) and its abbreviated version (MSSS-5). Quality of life was assessed using the WHOQOL-BREF questionnaire. Demographic variables (age, sex, education, marital status) and dialysis-related factors (session duration, Kt/V, vascular access type, and urea reduction ratio) were analyzed to determine their effects on social support and quality of life. Results: Hemodialysis patients reported significantly lower scores in the Physical Health and Psychological Health domains of the WHOQOL-BREF compared to healthy controls. Males on hemodialysis scored lower than the controls in the Physical Health, Psychological Health, and Environment domains of the WHOQOL-BREF and the Affectionate Support and Positive Social Interaction subscales of MSSS. Conversely, hemodialysis females reported higher scores for Tangible Support, Emotional/Informational Support, and Affectionate Support. Longer dialysis sessions negatively impacted the Social Relationships domain. Married hemodialysis patients had higher Emotional/Informational Support and Affectionate Support scores. Conclusions: Hemodialysis patients experience diminished physical and psychological quality of life, particularly males. Social support, especially emotional and informational support, is crucial for hemodialysis patients, with marital status playing a key role. Addressing these psychosocial factors may improve outcomes for hemodialysis patients.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".