Predictive model of variables associated with health‑related quality of life in patients with advanced chronic kidney disease receiving hemodialysis
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Título
Predictive model of variables associated with health‑related quality of life in patients with advanced chronic kidney disease receiving hemodialysisAutoría
Fecha de publicación
2020Editor
SpringerCita bibliográfica
GARCÍA-MARTÍNEZ, P., et al. Predictive model of variables associated with health-related quality of life in patients with advanced chronic kidney disease receiving hemodialysis. Quality of Life Research, 2020, p. 1-11Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://link.springer.com/article/10.1007/s11136-020-02454-0Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
Purpose Chronic kidney disease (CKD) afects over 10% of the global population. Health-related quality of life (HRQoL)
has been identifed as a reliable indicator for assessing the efectiveness of treatment in chronic ... [+]
Purpose Chronic kidney disease (CKD) afects over 10% of the global population. Health-related quality of life (HRQoL)
has been identifed as a reliable indicator for assessing the efectiveness of treatment in chronic patients, and resilience as
a predictor of low levels of stress and higher QoL. The aim of this research is to identify the relationship between HRQoL,
resilience, perceived stress, and the diferent sociodemographic and clinical routine variables of advanced chronic kidney
disease (ACKD).
Methods Multicenter, cross-sectional, and correlational study with 155 ACKD patients in the Valencian Community (Spain).
The measures for the study included the Kidney Disease Quality of Life 36 (KDQOL-36), the Perceived Stress Scale 10
(PSS10), and the Connors–Davidson Resilience Scale (CD-RISC). To identify the variables with predictive power over the
scales and subscales of the KDQOL-36, multiple regression analyses were performed.
Results Average participants’ age was 67.39, 68.4% were male, 29% diabetic, and 83.2% had undergone arteriovenous
vascular access placement with a Charlson Comorbidity Index of 6 (SD=2.09). The regression models identifed that age
and resilience explained up to 26.8% of the variance of the KDQOL-36 total score. As for the physical component of QoL,
comorbidity with other clinical conditions, resilience, and the presence of diabetes explained 32.1% of its variance.
Conclusions Resilience was identifed as one of the most important predictors of HRQoL. Thus, the development of interventions aiming to improve the level of resilience may have a positive impact over the quality of life of patients with CKD. [-]
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Quality of Life Research, 2020, p. 1-11Derechos de acceso
© Springer Nature Switzerland AG 2020
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