{"id":{"repo_id":"utc","oai_identifier":"oai:scholar.utc.edu:theses-1121"},"canonical_url":"https://search.dev.ndltd.org/etd/utc/oai:scholar.utc.edu:theses-1121","repository":{"repo_id":"utc","name":"University of Tennessee - Chattanooga","base_url":"https://scholar.utc.edu/do/oai/"},"display":{"title":"Factors related to depression in end-stage renal disease patients","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.","abstract_html":"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.","abstract_has_math":false,"creators":["McCurdy, Matthew Paul"],"institution":"University of Tennessee at Chattanooga","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Ozbek, Irene Nichols, 1947-","Warren, Amye; Clark, Amanda J.; Elwell, Jeffery; Walker, Randy","College of Arts and Sciences"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":null,"date_issued":"","date_published":null,"updated_at":"2026-07-24T05:46:11Z","subjects":["Chronic renal failure -- Treatment","Depression","Mental"],"languages":["English","eng"],"rights":[],"rights_urls":["https://rightsstatements.org/page/InC/1.0/?language=en"],"identifier_entries":[]},"links":{"outbound_url":"https://scholar.utc.edu/theses/119","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Ozbek, Irene Nichols, 1947-","Warren, Amye; Clark, Amanda J.; Elwell, Jeffery; Walker, Randy","College of Arts and Sciences"]},{"key":"dc:creator","label":"Author","values":["McCurdy, Matthew Paul"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2014-05-01T07:00:00Z"]},{"key":"dc:publisher","label":"Institution","values":["University of Tennessee at Chattanooga","Chattanooga (Tenn.)"]},{"key":"dc:relation","label":"Dc Relation","values":["Masters Theses and Doctoral Dissertations"]},{"key":"dc:type","label":"Dc Type","values":["Masters theses","Text"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Chronic renal failure -- Treatment","Depression","Mental"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["https://rightsstatements.org/page/InC/1.0/?language=en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholar.utc.edu/theses/119"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Dept. of Psychology","M. S.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Science."]},{"key":"dc:description.abstract","label":"Abstract","values":["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."]},{"key":"dc:title","label":"Title","values":["Factors related to depression in end-stage renal disease patients"]}]}],"canonical_facts":{"dc:contributor":["Ozbek, Irene Nichols, 1947-","Warren, Amye; Clark, Amanda J.; Elwell, Jeffery; Walker, Randy","College of Arts and Sciences"],"dc:creator":["McCurdy, Matthew Paul"],"dc:date":["2014-05-01T07:00:00Z"],"dc:description":["Dept. of Psychology","M. S.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Science."],"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."],"dc:identifier":["https://scholar.utc.edu/theses/119"],"dc:language":["English","eng"],"dc:publisher":["University of Tennessee at Chattanooga","Chattanooga (Tenn.)"],"dc:relation":["Masters Theses and Doctoral Dissertations"],"dc:rights":["https://rightsstatements.org/page/InC/1.0/?language=en"],"dc:subject":["Chronic renal failure -- Treatment","Depression","Mental"],"dc:title":["Factors related to depression in end-stage renal disease patients"],"dc:type":["Masters theses","Text"]},"updated_at":"2026-07-24T05:46:11Z"}