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How do clinical and psychological variables relate to quality of life in end-stage renal disease? Validating a proximal-distal model


Chan, R and Brooks, R and Erlich, J and Gallagher, M and Snelling, P and Chow, J and Suranyi, M, How do clinical and psychological variables relate to quality of life in end-stage renal disease? Validating a proximal-distal model, Quality of Life Research, 23, (2) pp. 679-688. ISSN 0962-9343 (2014) [Refereed Article]

Copyright Statement

Copyright 2013 Springer Science+Business Media Dordrecht

DOI: doi:10.1007/s11136-013-0499-1


Purpose: The aims of this study were to: (1) validate the proximal-distal (PD) model in predialysis and early dialysis and (2) examine the role of hemoglobin on quality of life (QoL) in these patient groups.

Methods: Cross-sectional observational studies of 475 participants recruited from four major university teaching hospitals were conducted. The multi-sample structural equation modeling with latent composite techniques was employed to test the PD model. Seven factors were measured, including QoL, positive affect, depression, physical functioning, kidney disease symptoms, comorbidity and hemoglobin.

Results: The results showed that both the equality-constrained and equality-unconstrained PD models were supported by fit statistics. The chi square difference test of the two models was non-significant, indicating that the PD model was consistent across groups. The alternative models were rejected by fit statistics, suggesting that hemoglobin does not impact on psychological states but QoL.

Conclusions: This study validates the PD model across the end-stage renal disease (ESRD) patient groups and shows a hierarchical causal relationship between clinical factors, physical functioning, psychological states and QoL, with hemoglobin as an exception. This model provides an empirical framework for integrating and studying a range of clinical factors and health outcomes in ESRD.

Item Details

Item Type:Refereed Article
Keywords:depression, end-stage renal disease, health status, psychosocial factors, quality of life, renal dialysis
Research Division:Health Sciences
Research Group:Nursing
Research Field:Nursing not elsewhere classified
Objective Division:Health
Objective Group:Provision of health and support services
Objective Field:Nursing
UTAS Author:Chow, J (Associate Professor Josephine Chow)
ID Code:98296
Year Published:2014
Web of Science® Times Cited:8
Deposited By:Health Sciences B
Deposited On:2015-02-10
Last Modified:2015-05-15

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