Determining Quality of Life and Sleep in Hemodialysis Patients

Tel, Havva

doi:10.1002/dat.20296

Cited by 17 publications

(24 citation statements)

References 28 publications

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“…Although this association was also present in our cohort, a multivariate analysis failed to show age as an independent predictive factor. Our study revealed a significant difference in SQ by gender, which is consistent with previous data in the dialysis population [3] [10]. In fact, gender appears to be the single most important factor discerning between PS and GS in our cohort, an effect that was not obvious in previous investigations [9].…”

Section: Discussionsupporting

confidence: 92%

Sleep Quality in Non Dialysis Chronic Kidney Disease: Associated Factors and Influence on Prognosis

Calviño¹,

González-Tabarés²,

Cigarrán³

et al. 2016

IJCM

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Deficient sleep quality (SQ) has been linked with a higher hospitalization rate and mortality in dialysis patients, however the prevalence of sleep disorders and their influence on prognosis in non-dialysis chronic kidney disease (CKD) has been poorly investigated. The aim of this study was to assess factors related with SQ in CKD patients (stages I-IV) followed in a nephrology outpatient clinic as well as the long-term impact of SQ on patient's outcome. Between January and May 2008, Pittsburgh Sleep Quality Index (PSQI) was self-administered by 122 patients (68 males and 54 females) with a mean age of 65 years. Patients were classified as "good" (global PSQI < 6) and "poor" sleepers (global PSQI ≥ 6). We identified 66 (54%) poor sleepers (PS), characterized by an older age (66 ± 14.2 vs 57 ± 17.0, p < 0.01), female predominance (59% vs 26%, p < 0.01) and worse renal function (49 ± 19.1 vs 57 ± 23.2 ml/min, p < 0.05). There was a significant correlation between phosphate and PSQI score (r = 0.234, p = 0.01), however no correlation with calcium or PTH. Vitamin D was also lower in PS (17 ± 7.2 vs 23 ± 15.1 ng/ml, p < 0.05). Until June 2015, hospitalization rate was higher among PS (64% vs 44%, p < 0.05). In this period, there was also a trend towards higher mortality for PS (18% vs 16%). In summary, over 50% of CKD patients have poor SQ, which was associated with older age, female gender, worse renal function, lower vitamin D and higher phosphate levels. Deficient sleep was associated with a greater probability of hospitalization and might be a prognostic marker in CKD.

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Section: Discussionsupporting

confidence: 92%

Sleep Quality in Non Dialysis Chronic Kidney Disease: Associated Factors and Influence on Prognosis

Calviño¹,

González-Tabarés²,

Cigarrán³

et al. 2016

IJCM

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“…Moreover, increased duration of disease, other accompanying diseases, and aging could cause changes in the quality of life. Some studies indicated no significant relationship between the duration of hemodialysis and quality of life (19,22,25,26). Also, Anees et al revealed that duration of hemodialysis was inversely correlated with quality of life (27).…”

Section: Discussionmentioning

confidence: 99%

Relationship Between Duration of Dialysis and Quality of Life in Hemodialysis Patients

Barzegar

Jafari

Charati

et al. 2017

Iran J Psychiatry Behav Sci

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Background: The number of patients with chronic renal failure is increasing in Iran. Quality of life is an important indicator that reveals the sense of well-being, positive understanding of their, and the effectiveness of health care in patients undergoing dialysis, which could be affected by duration of dialysis. Objectives: This study aimed at investigating the relationship between quality of life and duration of dialysis in hemodialysis patients. Methods: In this descriptive correlational study, 246 patients with chronic kidney failure were selected by Single-stage stratified cluster sampling. Hemodialysis patients were put into 2 groups with a duration of hemodialysis less than and more than 36 months and were then compared with each other. The quality of life was measured using the kidney disease quality of life short form (KDQOL-SF36). Data analysis was performed by the Pearson correlation coefficient, independent t-test, and ANOVA Results: The mean duration of hemodialysis patients was 34.03 months. There was no significant relationship between the quality of life in patients and duration of hemodialysis. Poor quality of life had a significant correlation with old age (P < 0.001), educational level (P < 0.001), job, and income (P < 0.001). Conclusions:The findings showed poor quality of life in patients on dialysis. The length of the disease and other accompanying diseases reduced the quality of life in dialysis patients as their age increased. It is evident that educated people who have better access to sources of support and are able to cope with disease complications have a higher quality of life.

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“…Support by spouses can be a source of strength whereas support from friends is significant to retired hemodialysis individuals (19). However, it is intriguing to ascertain the critical role of family since living within an extended family is associated with poor quality of life (30). Equally important, is the support provided by health care professionals since it improves the way hemodialysis patients perceive their health (31).…”

Section: Discussionmentioning

confidence: 99%

The Effect of Perceived Social Support on Hemodialysis Patients' Quality of Life

et al. 2016

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Background:Association between perceived social support and quality of life in hemodialysis patients represents a new area of interest.Aim:The aim of this study was to explore the effect of social support on the quality of life of hemodialysis patients.Material and Methods:In this study 258 hemodialysis patients were enrolled. Data was collected using a questionnaire which consisted of three parts: a) the Multidimensional Scale of Perceived Social Support (MSPSS) to assess perceived social support, b) the Missoula-VITAS Quality of Life Index (MVQOLI–15) to assess quality of patients’ life and c) the socio-demographic, clinical and other variables of patients. To test the existence of association between quality of life and social support the correlation coefficient of Spearman was used. Multiple linear regression was performed to estimate the effect of social support on quality of life (dependent variable), adjusted for potential confounders. The analysis was performed on SPSS v20.Results:Patients felt high support from significant others and family and less from friends (median 6, 6 and 4.5 respectively). Patients evaluated their quality of life in its entirety as moderate in the total and “overall quality of life” score (median 17.2 and 3 respectively). Regarding the association between social support and quality of life, results showed that the more support patients had from their significant others, family and friends, the better quality of life they had. (rho =0,395, rho =0,399 and rho=0,359, respectively).Conclusions:Understanding the relation between social support and quality of life should prompt health professionals to provide beneficial care to hemodialysis patients.

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Determining Quality of Life and Sleep in Hemodialysis Patients

Cited by 17 publications

References 28 publications

Sleep Quality in Non Dialysis Chronic Kidney Disease: Associated Factors and Influence on Prognosis

Sleep Quality in Non Dialysis Chronic Kidney Disease: Associated Factors and Influence on Prognosis

Relationship Between Duration of Dialysis and Quality of Life in Hemodialysis Patients

The Effect of Perceived Social Support on Hemodialysis Patients' Quality of Life

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