Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 May 16;13(10):1167.
doi: 10.3390/healthcare13101167.

Determinants of Health-Related Quality of Life in Patients with Chronic Kidney Disease: A Cross-Sectional Study

Affiliations

Determinants of Health-Related Quality of Life in Patients with Chronic Kidney Disease: A Cross-Sectional Study

Geetha Kandasamy et al. Healthcare (Basel). .

Abstract

Background: Chronic kidney disease (CKD) significantly affects health-related quality of life (HRQoL), impacting physical and mental well-being. This study aimed to identify the key determinants influencing HRQoL among patients with CKD. Methods: A cross-sectional observational study was conducted from July 2022 to March 2023 at the Rajiv Gandhi Cooperative Multi-Specialty Hospital, Palakkad, Kerala, South India, including 154 patients diagnosed with CKD stages 3 to 5. Eligible participants were required to be at least 18 years of age and have a confirmed diagnosis of CKD, specifically stages 3 to 5, with prior treatment. CKD stages were defined according to the Kidney Disease: Improving Global Outcomes (KDIGO) 2012 guidelines, based on estimated glomerular filtration rate (eGFR) thresholds as follows: Stage 3 (eGFR 30-59 mL/min/1.73 m2), Stage 4 (eGFR 15-29 mL/min/1.73 m2), and Stage 5 (eGFR < 15 mL/min/1.73 m2). Participants were classified into stages based on their most recent stable eGFR value at the time of recruitment. HRQoL was assessed using the European Quality of Life-5 Dimensions-3 Levels (EQ-5D-3L) questionnaire. Chi-square, ANOVA, and multivariate regression were used to analyze associations with EQ-5D-3L domains. Results: Out of 154 participants, 68.8% were male, 91.6% were aged over 50 years, and 63.6% were from rural areas. Most had primary education (55.2%) and were unemployed, retired, or housewives (66.2%). As CKD progressed, comorbidities, particularly diabetes mellitus and coronary artery disease (CAD), increased, with Stage 5 showing the highest prevalence. Clinical markers showed significant declines in the glomerular filtration rate (GFR) (Stage 3: 49.16 ± 7.59, Stage 4: 22.37 ± 3.88, Stage 5: 8.79 ± 1.68) and hemoglobin (Stage 3: 10.45 ± 0.84, Stage 4: 8.88 ± 0.60, Stage 5: 7.12 ± 0.53) and an increase in serum creatinine (Stage 3: 1.72 ± 0.40, Stage 4: 3.21 ± 0.44, Stage 5: 7.05 ± 1.46). HRQoL assessments showed significant declines in mobility, self-care, usual activities, pain, and anxiety/depression with advancing CKD. Mobility issues increased from 61.2% in Stage 3 to 62.0% in Stage 5, with greater difficulties in self-care and usual activities at Stage 5. Pain and anxiety/depression worsened across stages. Multivariate analysis identified female gender, older age (≥50 years), lower education, unemployment, multiple comorbidities, smoking, lack of social support, and advanced CKD stages as significant factors linked to impaired HRQoL. CKD stage 5 (GFR < 29 mL/min/1.73 m2) and high serum creatinine (>1.2 mg/dL) were associated with significantly higher odds of impairment in all HRQoL domains. Conclusions: This study highlights that factors such as female gender, older age, lower education, unemployment, multiple comorbidities, smoking, advanced CKD stages, and high serum creatinine levels are associated with reduced quality of life in CKD patients. Conversely, social support acts as a protective factor. The findings emphasize the need for targeted interventions that address both medical care and psychosocial aspects, including lifestyle changes, patient education, mental health support, and community involvement, to improve CKD patients' well-being.

Keywords: CKD; CKD stages; EQ-5D-3L; HRQoL; glomerular filtration rate.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
Participant flowchart.

References

    1. Kidney Disease: Improving Global Outcomes (KDIGO) CKD Work Group KDIGO 2024 clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney Int. Suppl. 2024;105:S117–S314. doi: 10.1016/j.kint.2023.10.018. - DOI - PubMed
    1. Stanifer J.W., Muiru A., Jafar T.H., Patel U.D. Chronic kidney disease in low- and middle-income countries. Nephrol Dial. Transplant. 2016;31:868–874. doi: 10.1093/ndt/gfv466. - DOI - PMC - PubMed
    1. Okoye O.C., Carnegie E., Mora L. Air pollution-associated chronic kidney disease (APA-CKD): Evidence from a cross-sectional study of Niger Delta communities. BMJ Open. 2025;15:e096336. doi: 10.1136/bmjopen-2024-096336. - DOI - PMC - PubMed
    1. Muiru A.N., Charlebois E.D., Balzer L.B., Kwarisiima D., Elly A., Black D., Okiror S., Kabami J., Atukunda M., Snyman K., et al. The epidemiology of chronic kidney disease (CKD) in rural East Africa: A population-based study. PLoS ONE. 2020;15:e0229649. doi: 10.1371/journal.pone.0229649. - DOI - PMC - PubMed
    1. Singh A.K., Farag Y.M., Mittal B.V., Subramanian K.K., Reddy S.R.K., Acharya V.N., Almeida A.F., Channakeshavamurthy A., Ballal H.S., Gaccione P., et al. Epidemiology and risk factors of chronic kidney disease in India—Results from the SEEK (Screening and Early Evaluation of Kidney Disease) study. BMC Nephrol. 2013;14:114. doi: 10.1186/1471-2369-14-114. - DOI - PMC - PubMed

LinkOut - more resources