The Impact of Frailty on Prognosis in Elderly Hemodialysis Patients: A Prospective Cohort Study

Association between frailty and adverse outcomes in patients undergoing maintenance hemodialysis: a systematic review and meta-analysis

OBJECTIVES

The aim of this study was to determine the strength of the association between frailty and adverse outcomes in patients undergoing maintenance hemodialysis.

DESIGN

A systematic review and meta-analysis.

SETTING AND PARTICIPANTS

Patients aged ≥18 years who were undergoing maintenance hemodialysis.

METHODS

PubMed, Web of Science, Embase, the Cochrane Library, Scopus, the China Knowledge Resource Integrated Database, the Wanfang Database and the Weipu Database were searched from inception until 11 April 2024. The reviewers independently selected the studies, extracted the data and evaluated the quality of the studies. Stata 15.1 software was used to perform the meta-analysis.

RESULTS

A total of 36 articles were included in this study, including 56,867 patients. The primary outcome events in this study were mortality, hospitalization, and vascular access events. The secondary outcomes were depression, cognitive impairment, falls, fracture, sleep disturbances, and quality of life. This study suggested that frailty was associated with mortality in patients undergoing maintenance hemodialysis [hazard ratio (HR), 1.97; 95% CI, 1.62-2.40]. Frailty increased the risk of mortality in patients [odds ratio (OR), 2.33; 95% CI, 1.47-3.68]. In addition, we found that frailty was significantly associated with hospitalization in patients undergoing maintenance hemodialysis (OR, 2.47; 95% CI, 1.52-4.03). Patients who were undergoing maintenance hemodialysis and who were frail had a greater risk of hospitalization [RR, 1.47; 95% CI, 1.05-2.08] and emergency visits (RR, 2.28; 95% CI, 1.78-2.92). The results of this study also suggested that frailty was associated with a greater risk of vascular access events (HR, 1.72; 95% CI, 1.50-1.97). Finally, frailty increased the risk of depression (OR, 4.31; 95% CI, 1.83-10.18), falls and fractures, and reduced quality of life.

CONCLUSIONS

The findings of this study suggested that frailty was an important predictor of adverse outcomes in patients undergoing maintenance hemodialysis. In the future, medical staff should regularly evaluate signs of weakness, formulate individual diagnosis and treatment plans, adjust dialysis plans according to the patient's condition, and reduce the occurrence of adverse events.

REGISTRATION

The study protocol was registered on PROSPERO (https://www.crd.york.ac.uk/PROSPERO/, number: CRD42023486239).

Concomitant sarcopenia and undernutrition: Impact on clinical outcomes in patients undergoing hemodialysis

BACKGROUND

Sarcopenia and undernutrition are crucial in the cycle of frailty in patients requiring hemodialysis therapy, and their deleterious clinical consequences are well documented. However, little attention has been directed towards examining their combined impact on clinical outcomes.

OBJECTIVE

This study aimed to elucidate the effects of concomitant sarcopenia and undernutrition on clinical outcomes in patients undergoing hemodialysis.

METHODS

This prospective cohort study recruited outpatients undergoing hemodialysis from four facilities. Sarcopenia was diagnosed according to the criteria of the Asian Working Group for Sarcopenia, 2019. Undernutrition was determined using the Geriatric Nutritional Risk Index, with a score of <92 classified as undernutrition. Patients were classified into four groups according to the presence or absence of sarcopenia and undernutrition. Cox proportional hazards analysis was used to assess the independent association between concomitant sarcopenia and undernutrition, all-cause mortality, and cardiovascular (CV) events after adjusting for baseline characteristics.

RESULTS

We included 450 patients in this analysis. Of the 450 patients, 69 (15.3%) had concomitant sarcopenia and undernutrition. The mean follow-up period was 1067 days, and there were 61 deaths and 60 CV events. The cumulative survival rate was significantly lower in the sarcopenia with undernutrition group (P = 0.011). The overlap of sarcopenia and undernutrition was significantly associated with a risk of mortality (hazard ratio 2.10; 95% confidence interval 1.05-4.21; P = 0.037). However, no association was observed between the co-occurrence of sarcopenia and undernutrition and the risk of CV events.

CONCLUSIONS

Concomitant sarcopenia and undernutrition were significantly associated with an increased mortality risk among patients undergoing hemodialysis. This finding reaffirms the importance of managing sarcopenia and undernutrition in patients undergoing hemodialysis in daily clinical practice.

Beyond sarcopenia: frailty in chronic haemodialysis patients

Background

Frailty, characterized by vulnerability, reduced reserves and increased susceptibility to severe events, is a significant concern in chronic haemodialysis (HD) patients. Sarcopenia, corresponding to the progressive loss of muscle mass and strength, may contribute to frailty by reducing functional capacity, mobility and autonomy. However, consensus lacks on the optimal bedside frailty index for chronic HD patients. This study investigated the influence of frailty on chronic HD patient survival and explored the associated factors.

Methods

A total of 135 patients were enrolled from January to April 2019 and then followed up prospectively until April 2022. At inclusion, frailty was assessed by the Timed Up and Go (TUG) and Short Physical Performance Battery (SPPB) tests including gait speed, standing balance and lower limb muscle strength.

Results

From a total of 114 prevalent chronic HD patients (66% men, age 67.6 ± 15.1 years), 30 died during the follow-up period of 23.7 months (range 16.8-34.3). Deceased patients were older, had more comorbidities and a higher sarcopenia prevalence (P < .05). The TUG and SPPB test scores were significantly reduced in patients who had died [SPPB total score: 7.2 ± 3.3 versus 9.4 ± 2.5; TUG time 8.7 ± 5.8 versus 13.8 ± 10.5 (P < .05)]. Multivariate analysis showed that a higher SPPB score (total value >9) was associated with a lower mortality risk [hazard ratio 0.83 (95% confidence interval 0.74-0.92); P < .03). Each component of the SPPB test was also associated with mortality in univariate analysis, but only the SPPB balance test remained protective against mortality in multivariate analysis. Older age, lower handgrip strength and lower protein catabolic rate were associated with SPPB total scores <9, SPPB balance score and TUG time >10 s.

Conclusions

Screening for frailty is crucial in chronic HD patients, and incorporating SPPB, especially the balance test, provides valuable insights. Diminished muscle strength and inadequate protein intake negatively influence the SPPB score and balance in chronic HD patients. Effective identification and management of frailty can therefore improve outcomes.

CLINICAL TRIAL REGISTRATION ClinicalTrialsgov

NCT03845452.

Frailty in Kidney Disease: A Comprehensive Review to Advance Its Clinical and Research Applications

Frailty is a multisystem syndrome of decreased physiologic reserve that has been shown to strongly and independently predict morbidity and mortality. Frailty is prevalent in patients living with kidney disease and occurs earlier in individuals with kidney disease as compared to the general population. In this comprehensive review, we examine clinical and research applications of frailty in kidney disease populations. Specifically, we clarify the definition of frailty and address common misconceptions, review the mechanisms and epidemiology of frailty in kidney disease, discuss challenges and limitations in frailty measurement, and provide updated evidence related to risk factors for frailty, its associated adverse outcomes, and interventions. We further add to the literature in this topic by highlighting the potential applications of frailty measurement in the care of patients with kidney disease and conclude with our recommendations for future research related to this important syndrome.

FRAIL scale as a screening tool and a predictor of mortality in non-dialysis dependent patients

BACKGROUND

This study aimed to compare the diagnostic yield of the FRAIL scale with respect to the physical frailty phenotype measure and their association with mortality in non-dialysis-dependent patients.

METHODS

In this prospective cohort study, non-dialysis dependent patients with chronic kidney disease (CKD) stages 3b-5 seen in the nephrology outpatient clinics of two university hospitals were included. The presence of frailty was evaluated by physical frailty phenotype measure and the FRAIL scale. Patients were evaluated for six months, and mortality was recorded. The Kappa test was used to evaluate the diagnostic properties between the methods, and logistic regression to test the association between frailty and mortality.

RESULTS

One hundred fifty-three patients were evaluated; average age was 65 (56-70) years, 50.9% were women, and the all-cause mortality rate was 2.6%. Forty-six patients were classified as living with frailty according to the physical frailty phenotype while 36 patients were rated frail by the FRAIL scale. In adults < 60 years of age, the FRAIL scale showed good accuracy (84.9%) and specificity (93.2%) but had low sensitivity (41.3%) and moderate agreement (Kappa = 0.41; p < 0.001) compared to the definition of the physical frailty phenotype. The adjusted logistic regression model showed that the patients with frailty assessed by the FRAIL scale had a greater chance of mortality than the non-frail patients (OR: 6.8; CI95%:1.477-31.513; p = 0.014).

CONCLUSION

Physical frailty phenotype identifies more patients as having pre-frailty and frailty in non-dialysis dependent patients as compared to the FRAIL scale. However, the FRAIL scale is a simple bedside tool that can be useful for screening for frailty and whose results were associated with mortality.

Narrative Review: Clinical Implications and Assessment of Frailty in Patients With Advanced CKD

Frailty is a multidimensional clinical syndrome characterized by low physical activity, reduced strength, accumulation of multiorgan deficits, decreased physiological reserve, and vulnerability to stressors. Frailty has key social, psychological, and cognitive implications. Frailty is accelerated by uremia, leading to a high prevalence of frailty in patients with advanced chronic kidney disease (CKD) and end-stage kidney disease (ESKD) as well as contributing to adverse outcomes in this patient population. Frailty assessment is not routine in patients with CKD; however, a number of validated clinical assessment tools can assist in prognostication. Frailty assessment in nephrology populations supports shared decision-making and advanced communication and should inform key medical transitions. Frailty screening and interventions in CKD or ESKD are a developing research priority with a rapidly expanding literature base.

Frailty and Adverse Outcomes After SARS-CoV-2 Infection in Elderly Patients on Maintenance Hemodialysis: A Cohort Study

Purpose

Frailty is an important geriatric syndrome associated with aging and adverse events, especially in patients with severe infection. To help guide prognosis for elderly patients undergoing maintenance hemodialysis (MHD) who experience acute infection, this study investigated whether baseline (pre-infection) frailty may be associated with adverse outcomes in elderly patients undergoing MHD who suffer SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) infection.

Patients and Methods

Patients (aged ≥60 y) receiving MHD had been assessed for overall frailty and the 5 frailty components based on the Fried Frailty Phenotype scale within 3 months prior to SARS-CoV-2 infection.

Results

There were 59 and 98 patients in the frail and non-frail groups, respectively. Three months after SARS-CoV-2 infection, 21 (13.4%) and 45 (28.7%) patients had died or were in hospital. The multivariate COX proportional risk model suggested that the all-cause mortality rate in patients judged overall frail or with low activity was significantly higher compared with that of the non-frail (P = 0.049; 0.003). The multivariate logistic regression analysis showed that hospitalization 3 months after SARS-CoV-2 infection was associated with both overall frailty and low activity (OR 2.276, 95% CI: 1.034-5.010, P = 0.041; OR 2.809, 95% CI: 1.311-6.020, P = 0.008, respectively).

Conclusion

Overall frailty and specifically low activity were significantly associated with all-cause mortality and hospitalization in this elderly MHD population after SARS-CoV-2 infection. Early assessment of frailty and effective interventions are recommended to improve the prognosis of patients receiving MHD who are at higher risk of acute infection.

Use of frailty assessment instruments in nephrology populations: a scoping review

BACKGROUND

Frailty is a clinical syndrome of accelerated aging associated with adverse outcomes. Frailty is prevalent among patients with chronic kidney disease but is infrequently assessed in clinical settings, due to lack of consensus regarding frailty definitions and diagnostic tools. This study aimed to review the practice of frailty assessment in nephrology populations and evaluate the context and timing of frailty assessment.

METHODS

The search included published reports of frailty assessment in patients with chronic kidney disease, undergoing dialysis or in receipt of a kidney transplant, published between January 2000 and November 2021. Medline, CINAHL, Embase, PsychINFO, PubMed and Cochrane Library databases were examined. A total of 164 articles were included for review.

RESULTS

We found that studies were most frequently set within developed nations. Overall, 161 studies were frailty assessments conducted as part of an observational study design, and 3 within an interventional study. Studies favoured assessment of participants with chronic kidney disease (CKD) and transplant candidates. A total of 40 different frailty metrics were used. The most frequently utilised tool was the Fried frailty phenotype. Frailty prevalence varied across populations and research settings from 2.8% among participants with CKD to 82% among patients undergoing haemodialysis. Studies of frailty in conservatively managed populations were infrequent (N = 4). We verified that frailty predicts higher rates of adverse patient outcomes. There is sufficient literature to justify future meta-analyses.

CONCLUSIONS

There is increasing recognition of frailty in nephrology populations and the value of assessment in informing prognostication and decision-making during transitions in care. The Fried frailty phenotype is the most frequently utilised assessment, reflecting the feasibility of incorporating objective measures of frailty and vulnerability into nephrology clinical assessment. Further research examining frailty in low and middle income countries as well as first nations people is required. Future work should focus on interventional strategies exploring frailty rehabilitation.

Mortality Risks after Two Years in Frail and Pre-Frail Older Adults Admitted to Hospital

BACKGROUND

Frailty is characterized by a progressive decline in the physiological functions of multiple body systems that lead to a more vulnerable condition, which is prone to the development of various adverse events, such as falls, hospitalization, and mortality. This study aims to determine whether frailty increases mortality compared to pre-frailty and to identify variables associated with a higher risk of mortality.

MATERIALS

Two cohorts, frail and pre-frail subjects, are evaluated according to the Fried phenotype. A complete examination of frailty, cognitive status, comorbidities and pharmacology was carried out at hospital admission and was extracted through electronic health record (EHR). Mortality was evaluated from the EHR.

METHODS

Kaplan-Meier estimates of survival probability functions were calculated at two years censoring time for frail and pre-frail cohorts. The log-rank test assessed significant differences between survival probability functions. Significant variables for frailty (p < 0-05) were extracted by independent sample t-test. Further selection was based on variable significance found in multivariate logistic regression discrimination between frail and pre-frail subjects. Cox regression over univariate t-test-selected variables was calculated to identify variables associated with higher proportional hazard risks (HR) at two years.

RESULTS

Frailty is associated with greater mortality at two years censoring time than pre-frailty (log-rank test, p < 0.0001). Variables with significant (p < 0.05) association with mortality identified in both cohorts (HR 95% (CI in the frail cohort) are male sex (0.44 (0.29-0.66)), age (1.05 (1.01-1.09)), weight (0.98 (0.96-1.00)), and use of proton-pump inhibitors (PPIs) (0.60 (0.41-0.87)). Specific high-risk factors in the frail cohort are readmission at 30 days (0.50 (0.33-0.74)), SPPB sit and stand (0.62 (0.45-0.85)), heart failure (0.67 (0.46-0.98)), use of antiplatelets (1.80 (1.19-2.71)), and quetiapine (0.31 (0.12-0.81)). Specific high-risk factors in the pre-frail cohort are Barthel's score (120 (7.7-1700)), Pfeiffer test (8.4; (2.3-31)), Mini Nutritional Assessment (MNA) (1200 (18-88,000)), constipation (0.025 (0.0027-0.24)), falls (18,000 (150-2,200,000)), deep venous thrombosis (8400 (19-3,700,000)), cerebrovascular disease (0.01 (0.00064-0.16)), diabetes (360 (3.4-39,000)), thyroid disease (0.00099 (0.000012-0.085)), and the use of PPIs (0.062 (0.0072-0.54)), Zolpidem (0.000014 (0.0000000021-0.092)), antidiabetics (0.00015 (0.00000042-0.051)), diuretics (0.0003 (0.000004-0.022)), and opiates (0.000069 (0.00000035-0.013)).

CONCLUSIONS

Frailty is associated with higher mortality at two years than pre-frailty. Frailty is recognized as a systemic syndrome with many links to older-age comorbidities, which are also found in our study. Polypharmacy is strongly associated with frailty, and several commonly prescribed drugs are strongly associated with increased mortality. It must be considered that frail patients need coordinated attention where the diverse specialist taking care of them jointly examines the interactions between the diversity of treatments prescribed.

Valoración de la fragilidad en un centro de diálisis. ¿son más frágiles los pacientes con diabetes?

Introducción: El incremento en la inclusión de personas de edad avanzada a los programas de hemodiálisis se relaciona con un aumento de la prevalencia de fragilidad, considerada predictora de discapacidad y asociada a eventos adversos de salud. Dado su carácter reversible, es importante hacer un cribaje para mejorar la práctica clínica. Objetivo: Evaluar el grado de fragilidad y estado funcional del paciente en nuestra unidad de hemodiálisis y analizar las diferencias entre diabéticos y no diabéticos. Material y Método: Estudio observacional de corte transversal. La fragilidad se midió utilizando el fenotipo de Fried y la valoración funcional mediante las escalas Barthel, Lawton, Downton y la Short Physical Performance Battery. Se evaluó comorbilidad y riesgo de caídas con las escalas Charlson y Downton respectivamente. Se comparó entre grupos de diabéticos y no diabéticos y se analizó la relación entre la fragilidad y la edad, dependencia, comorbilidad y riesgo de caídas. Resultados: Se incluyeron 128 pacientes. El 45% tenían Diabetes. Los pacientes con diabetes tenían una edad media mayor que los no diabéticos (74,2±11 vs 67,8±15 años) y mayor comorbilidad (Charlson 8,2±2,2 vs 5,8±2,4). El 25% de los pacientes presentaron fragilidad, observando una tendencia que sugirió mayor fragilidad, peor capacidad funcional y mayor grado de dependencia en los pacientes diabéticos, aunque de forma no significativa. Conclusiones: Una cuarta parte de la población estudiada presenta fragilidad, con una tendencia más acusada a padecerla los pacientes diabéticos, que podría estar relacionada con mayor edad, mayor comorbilidad y menor capacidad funcional que los no diabéticos.

Frailty Is a Risk Factor for Falls in the Older Adults: A Systematic Review and Meta-Analysis

OBJECTIVES

There is little evidence in the literature about the relationship between frailty and falls in older adults. Our objective was to explore the relationship between frailty and falls, and to analyze the effect factors (e.g., gender, different frailty assessment tools, areas, level of national economic development, and year of publication) of the association between frailty and falls among older adults.

DESIGN

Systematic review and meta-analysis.

SETTING AND PARTICIPANTS

Cohort studies that evaluated the association between frailty and falls in the older adults were included. We excluded any literature outside of cohort studies.

METHODS

We did a systematic literature search of English databases PubMed, Scopus, Web of Science, EBSCOhost, and SciElO, as well as the Chinese databases CNKI, WANFANG, and VIP from 2001 until October 2022. The eligible studies were evaluated for potential bias using the Newcastle-Ottawa Scale (NOS). Study selection, data extraction and assessment of study quality were each conducted by two investigators. In Stata/MP 17.0 software, we calculated pooled estimates of the prevalence of falls by using a random-effects model, Subgroup analysis was conducted based on gender, different frailty assessment tools, areas, level of economic development, and year of publication. The results are presented using a forest plot.

RESULTS

Twenty-nine studies were included in this meta-analysis and a total of 1,093,270 participants aged 65 years and above were enrolled. Among the older adults, frailty was significantly associated with a higher risk for falls, compared with those without frailty (combined RR-relative risk = 1.48, 95% CI-confidence interval: 1.27-1.73, I2=98.9%). In addition, the results of subgroup analysis indicated that men had a higher risk for falls than women among the older adults with frailty (RR 1.94, 95% CI: 1.18-3.2 versus RR 1.44, 95% CI: 1.24-1.67). Subgroup analysis by different frailty assessment tools revealed an increased risk of falls in older adults with frailty when assessed using the Frailty Phenotype (combined RR 1.32, 95%CI: 1.17-1.48), FRAIL score (combined RR 1.82, 95%CI: 1.36-2.43), and Study of Osteoporotic Fractures index (combined RR 1.54, 95%CI: 1.10-2.16). Furthermore, subgroup analysis by areas and level of national economic development found the highest fall risk in Oceania (combined RR 2.35, 95%CI: 2.28-2.43) and the lowest in Europe (combined RR 1.20, 95%CI: 1.05-1.38). Developed countries exhibited a lower fall risk compared to developing countries (combined RR 1.44, 95%CI: 1.21-1.71). Analysis by year of publication showed the highest fall risk between 2013-2019 (combined RR 1.79, 95%CI: 1.45-2.20) and the lowest between 2001-2013 (combined RR 1.21, 95%CI: 1.13-1.29).

CONCLUSION

Frailty represents a significant risk factor for falls in older adults, with the degree of risk varying according to the different frailty assessment tools employed, and notably highest when using the FRAIL scale. Additionally, factors such as gender, areas, level of national economic development, and healthcare managers' understanding of frailty may all impact the correlation between frailty and falls. Thus, it's imperative to select suitable frailty diagnostic tools tailored to the specific characteristics of the population in question. This, in turn, facilitates the accurate identification of frailty in older adults and informs the development of appropriate preventive and therapeutic strategies to mitigate fall risk.

Physical function and all-cause mortality in patients with chronic kidney disease and end-stage renal disease: a systematic review and meta-analysis

PURPOSE

The loss of skeletal muscle mass and muscle strength is common in patients suffering from chronic kidney disease (CKD) and end-stage renal disease (ESRD) undergoing dialysis. The purpose of this study was to conduct a meta-analysis to explore the relationship between physical functional performance and all-cause mortality in CKD and ESRD patients undergoing dialysis.

METHODS

A systematic literature search was conducted on an electronic database up to January 2022, and all data were analyzed using RevMan5 (version 5.3).

RESULTS

Totally, 19 studies involving 6908 patients were enrolled for analysis. Patients with poor physical functional performance in the handgrip strength (HGS) (hazard ratio [HR] = 1.99, P < 0.00001), gait speed (HR = 2.45, P = 0.0005), 6 m walk test (HR = 2.94, P < 0.01), and timed up and go test (HR = 1.69, P = 0.02) showed increased risk of all-cause mortality than those with good physical functional performance. In continuous analyses, both per 1 kg increase in HGS (95% CI 0.94-0.98; P < 0.00001; I² = 47%) and per 1 SD increase in HGS (HR = 0.47 95% CI 0.35-0.64; P < 0.0001; I² = 35%) were significantly associated with lower all-cause mortality.

CONCLUSION

The present meta-analysis demonstrated that poor physical function outcomes, including grip strength, gait speed, 6MWT, and TUG test, were significantly associated with high all-cause mortality in patients with CKD and ESRD.

Frailty, multimorbidity and sarcopaenia in haemodialysis patients

PURPOSE OF REVIEW

It is well recognised that haemodialysis patients have higher levels of multimorbidity, frailty and sarcopaenia. This review examines the current understanding of the three concepts in relation to the general population and haemodialysis patients, and the methods used to quantify them. It also looks at the interaction between multimorbidity, frailty and sarcopaenia in this patient group and proposes a new model that utilises muscle mass index and fat mass index as a surrogate representation of the three concepts.

RECENT FINDINGS

Multimorbidity in on the rise in the general population and this is one of the contributing factors to higher rates of chronic kidney disease, progression to end-stage renal disease and multimorbidity in haemodialysis patients. Malnutrition and haemodialysis induced end organ damage further contributes to muscle loss and frailty in this patient group. There is a significant overlap and interaction between multimorbidity, frailty and sarcopaenia in haemodialysis and their presence carries a significant impact on quality of life and survival. There are multiple scores for measuring multimorbidity, frailty and sarcopenia and there is no consensus on their utilisation in haemodialysis patients. We propose the use of fat mass index and muscle mass index model as a surrogate method for clinically quantifying multimorbidity, frailty and sarcopaenia.

SUMMARY

Effective public health policies are likely to have an impact on reducing the prevalence of multimorbidity and the development of end stage renal disease. Future research is required to develop interventions that are targeted at maintaining muscle mass and function in haemodialysis patients.

Association Between Exercise Self-Efficacy and Health-Related Quality of Life Among Dialysis Patients: A Cross-Sectional Study

Background

Exercise self-efficacy is a vital determinant of an individual’s active participation in regular exercise, and exercise is a critical component of improving health-related quality of life (HRQOL) in dialysis patients. This study aimed to describe the relationship between exercise self-efficacy and HRQOL in dialysis patients.

Materials and Methods

A cross-sectional study was conducted in Shanghai, China. Structured questionnaires distributed to the patients collected socio-demographic and disease-related information. Physical activity was assessed by a self-administered questionnaire, and the exercise self-efficacy scale (ESES) was used to measure exercise self-efficacy. HRQOL was evaluated by the kidney disease quality of life instrument-short form version 1.3 (KDQOL-SF™ v1.3). Data were analyzed using a univariate generalized linear model, Spearman correlation, and hierarchical multiple regression.

Results

A positive association was observed between exercise self-efficacy and HRQOL (r = 0.310, p &lt; 0.001). Physical activity as a predictor variable explained 9.8% of the variance in overall HRQOL (p &lt; 0.001). Exercise self-efficacy explained an additional 7.1% of the HRQOL variance. In total, 24.6% of the variation in the HRQOL was explained by the socio-demographic variables, disease-related factors, physical activity, and exercise self-efficacy.

Conclusion

Overall, only 16.9% of the change in HRQOL was explained by physical activity and exercise self-efficacy. Future research is still needed to further explore the factors influencing the HRQOL in dialysis patients. However, this finding suggests the need to consider the importance of HRQOL and physical activity as well as exercise self-efficacy when developing intervention programs.