Volume 33, Issue 4 (Autumn 2025)
Avicenna J Nurs Midwifery Care 2025, 33(4): 323-334 |
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Ethics code: IR.KUMS.REC.1403.286
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Hadadian F, Rezaeian S, zahabi H, Karimi Z, Naghibzadeh A, Fattahi Z. Relationship between Resilience and Sleep Quality in Hemodialysis Patients Attending Healthcare Centers Affiliated with Kermanshah University of Medical Sciences, Iran, 2024. Avicenna J Nurs Midwifery Care 2025; 33 (4) :323-334
URL: http://nmj.umsha.ac.ir/article-1-3329-en.html
URL: http://nmj.umsha.ac.ir/article-1-3329-en.html
Fateme Hadadian1 
, Shahab Rezaeian2 , Hamzeh Zahabi3 , Zohreh Karimi3 , Amirhossein Naghibzadeh3 , Zakaria Fattahi *4
, Shahab Rezaeian2 , Hamzeh Zahabi3 , Zohreh Karimi3 , Amirhossein Naghibzadeh3 , Zakaria Fattahi *4
1- Nursing Department, School of Nursing and Midwifery, Kermanshah University of Medical Sciences, Kermanshah, Iran
2- School of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
3- Student Research Committee, Kermanshah University of Medical Sciences, Kermanshah, Iran
4- Clinical Research Development Center, Imam Reza Hospital, Kermanshah University of Medical Sciences, Kermanshah, Iran ,zakariyafattahi70@gmail.com
2- School of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
3- Student Research Committee, Kermanshah University of Medical Sciences, Kermanshah, Iran
4- Clinical Research Development Center, Imam Reza Hospital, Kermanshah University of Medical Sciences, Kermanshah, Iran ,
Abstract: (1496 Views)
Background and Objective: Hemodialysis patients face multiple challenges that affect their quality of life. Resilience, a psychological coping factor, improves sleep quality in this vulnerable population. This study aimed to investigate the relationship between resilience and sleep quality in hemodialysis patients.
Materials and Methods: This cross-sectional descriptive-analytical study was conducted on 118 hemodialysis patients attending healthcare centers affiliated with Kermanshah University of Medical Sciences. Convenience sampling was also conducted. Data were collected using a demographic checklist, the Pittsburgh Sleep Quality Index (PSQI), and the Connor-Davidson Resilience Scale. Statistical analyses, including correlation and multiple linear regression tests, were performed using STATA software (Version 19).
Results: The mean age of participants was 56.32 ± 14.98 years, with 57.63% males and 42.37% females. The mean PSQI score was 7.17 ± 3.20, indicating poor sleep quality, and the mean resilience score was 49.50 ± 17.06. A significant positive correlation was found between resilience and overall sleep quality (r = 0.3851), sleep latency, sleep disturbances, medication use, sleep efficiency, and sleep duration (P < 0.05). Regression analysis showed that demographic and clinical variables (age, gender, marital status, education, income, history of transplant or peritoneal dialysis) did not significantly affect sleep quality. In contrast, resilience was a positive, significant predictor of sleep quality (P < 0.001).
Conclusion: Higher resilience is independently associated with better sleep quality in hemodialysis patients. These findings suggest that resilience plays a crucial role in managing sleep disorders in this population, and enhancing resilience may improve sleep quality and overall health outcomes in these patients. It is recommended that programs to enhance psychological resilience and provide psychological support be designed and implemented for this population. Such interventions may include coping skills training, social support reinforcement, and psychotherapy to reduce sleep disturbances and improve patients' quality of life.
Materials and Methods: This cross-sectional descriptive-analytical study was conducted on 118 hemodialysis patients attending healthcare centers affiliated with Kermanshah University of Medical Sciences. Convenience sampling was also conducted. Data were collected using a demographic checklist, the Pittsburgh Sleep Quality Index (PSQI), and the Connor-Davidson Resilience Scale. Statistical analyses, including correlation and multiple linear regression tests, were performed using STATA software (Version 19).
Results: The mean age of participants was 56.32 ± 14.98 years, with 57.63% males and 42.37% females. The mean PSQI score was 7.17 ± 3.20, indicating poor sleep quality, and the mean resilience score was 49.50 ± 17.06. A significant positive correlation was found between resilience and overall sleep quality (r = 0.3851), sleep latency, sleep disturbances, medication use, sleep efficiency, and sleep duration (P < 0.05). Regression analysis showed that demographic and clinical variables (age, gender, marital status, education, income, history of transplant or peritoneal dialysis) did not significantly affect sleep quality. In contrast, resilience was a positive, significant predictor of sleep quality (P < 0.001).
Conclusion: Higher resilience is independently associated with better sleep quality in hemodialysis patients. These findings suggest that resilience plays a crucial role in managing sleep disorders in this population, and enhancing resilience may improve sleep quality and overall health outcomes in these patients. It is recommended that programs to enhance psychological resilience and provide psychological support be designed and implemented for this population. Such interventions may include coping skills training, social support reinforcement, and psychotherapy to reduce sleep disturbances and improve patients' quality of life.
Type of Study: Original Research |
Subject:
Quality of Life
Received: 2025/08/6 | Accepted: 2025/10/12 | Published: 2025/12/26
Received: 2025/08/6 | Accepted: 2025/10/12 | Published: 2025/12/26
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