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University of Tennessee at Chattanooga

Factors related to depression in end-stage renal disease patients

Abstract

dc:description.abstract

High prevalence rates of depression have been well documented in patients with chronic kidney disease (Egede, 2007; U.S. Renal Data System, 2013). Furthermore, depression seems to play a major role in the mortality and morbidity rates of this population (Kellerman, Christensen, Baldwin, & Lawton, 2010; U.S. Renal Data System, 2013). Therefore this study aimed to discover factors that may influence depression in this population. Ten end-stage renal disease (ESRD) patients’ depression scores were examined in relation to various sociodemographic measures. High depression scores had a significantly negative relationship with social functioning, overall quality of life, and age. A combined model of social functioning, sleep quality, and age provides a stronger prediction than any variable alone. Results suggest that targeting social functioning, sleep quality, and age should be the focus of future studies examining interventions of these factors as augmentations to current pharmacological treatments of depression in ESRD populations.

Degree

thesis:*
Grantor dc:publisher
University of Tennessee at Chattanooga

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • McCurdy, Matthew Paul
Contributors dc:contributor
  • Ozbek, Irene Nichols, 1947-
  • Warren, Amye; Clark, Amanda J.; Elwell, Jeffery; Walker, Randy
  • College of Arts and Sciences

Subjects

dc:subject × 3

Rights

dc:rights
Language dc:language
English, eng

Identifiers

dc:identifier.*
Repository record dc:identifier
https://scholar.utc.edu/theses/119
OAI identifier oai:identifier
oai:scholar.utc.edu:theses-1121

Chain of custody

source
Harvested from
University of Tennessee - Chattanooga
Base URL
scholar.utc.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

McCurdy, Matthew Paul. Factors related to depression in end-stage renal disease patients. University of Tennessee at Chattanooga, https://scholar.utc.edu/theses/119