Analysis of the Relationship Between Self‐Efficacy, Adherence With Diet Therapy and Fluid Control in Patients Receiving Hemodialysis Treatment: A Structural Equation Analysis
Bibliographic record
Abstract
PURPOSE: Hemodialysis treatment presents physical, emotional, and social challenges for patients, impacting their overall well-being and daily life. Successful management requires adherence to fluid restrictions, dietary guidelines, and regular medication intake. This study explored the associations between self-efficacy, dietary adherence, and fluid control in patients undergoing hemodialysis. METHODS: This cross-sectional, descriptive study was conducted from 15 April 2024 to 15 June 2024, involving 197 patients receiving hemodialysis at a public hospital and a private dialysis center in Erzurum, eastern Turkey. Data were collected using a Personal Information Form, the General Self-Efficacy Scale, the Fluid Control in Hemodialysis Patients Scale, and the Attitude Scale for Dietary Therapy of Hemodialysis Patients. Descriptive statistics and structural equation modeling were used for analysis. A Bayesian estimator assessed direct and indirect relationships between variables. The model's reliability and validity were assessed using various statistical tests. RESULTS: Participants had an average age of 53.3 years and an average duration on dialysis of 6.7 years. Of the participants, 91.4% regularly monitored their weight, and 65% regularly monitored edema. The average scores were 28.35 (5.92, SD) on the General Self-Efficacy Scale, 45.8 (8.12) on the Attitude Scale for Dietary Therapy, and 49.0 (9.05) on the Fluid Control Scale. Self-efficacy had a significant positive indirect association with fluid control through dietary adherence (β = 0.126, 95% confidence interval [0.008, 0.277]). The total association between self-efficacy and fluid control was also significant (β = 0.624, 95% confidence interval [0.483, 0.755]), with dietary adherence partially mediating this relationship. Self-efficacy accounted for 31% of the variance in dietary adherence, and the overall model explained 41% of the variance in fluid control. CONCLUSION: Higher self-efficacy was associated with better dietary adherence and improved fluid control. Dietary adherence partially mediated the association between self-efficacy and fluid control. Healthcare providers may consider strategies to enhance self-efficacy in hemodialysis patients to support dietary adherence and fluid control, potentially improving treatment outcomes, and quality of life.
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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 | 0.009 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.004 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".