{"id":{"repo_id":"utc","oai_identifier":"oai:scholar.utc.edu:theses-1546"},"canonical_url":"https://search.dev.ndltd.org/etd/utc/oai:scholar.utc.edu:theses-1546","repository":{"repo_id":"utc","name":"University of Tennessee - Chattanooga","base_url":"https://scholar.utc.edu/do/oai/"},"display":{"title":"Quality of life in hemodialysis patients","abstract":"The increasing number of patients with end stage renal disease (ESRD) has caused a substantial rise in the number of individuals receiving hemodialysis. One of the persistent questions with this group has been the influence of the procedure on quality of life. The present study explored the important factors that influence quality of life in hemodialysis patients. Participants were 160 (71 men and 89 women, mean age 62.84 years) community-dwelling, hemodialysis patients. Participants completed the Kidney Disease Quality of Life questionnaire and mental health and physical health composite scores were created in order to examine factors that can be considered predictive of quality of life in these patients. By using backward regression, the scales most predictive of mental and physical health were determined. For physical health, burden of kidney disease (p= .006), effects of kidney disease (p= .011), and sleep (p= .017) were the best-fitting set of predictors. For mental health, burden of kidney disease (p< .05), cognition (p< .05), and social support (p< .05) were the best-fitting set of predictors. Using these results from the regression analysis, a model for predicting physical health was explored, along with a model for predicting mental health. No other studies of this type have used predictive models; this is the first study of its kind.","abstract_html":"The increasing number of patients with end stage renal disease (ESRD) has caused a substantial rise in the number of individuals receiving hemodialysis. One of the persistent questions with this group has been the influence of the procedure on quality of life. The present study explored the important factors that influence quality of life in hemodialysis patients. Participants were 160 (71 men and 89 women, mean age 62.84 years) community-dwelling, hemodialysis patients. Participants completed the Kidney Disease Quality of Life questionnaire and mental health and physical health composite scores were created in order to examine factors that can be considered predictive of quality of life in these patients. By using backward regression, the scales most predictive of mental and physical health were determined. For physical health, burden of kidney disease (p= .006), effects of kidney disease (p= .011), and sleep (p= .017) were the best-fitting set of predictors. For mental health, burden of kidney disease (p&lt; .05), cognition (p&lt; .05), and social support (p&lt; .05) were the best-fitting set of predictors. Using these results from the regression analysis, a model for predicting physical health was explored, along with a model for predicting mental health. No other studies of this type have used predictive models; this is the first study of its kind.","abstract_has_math":false,"creators":["Taylor, Cynthia I."],"institution":"University of Tennessee at Chattanooga","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Metzger, Richard L.","Ozbek, Irene Nichols, 1947-; Warren Amye","College of Arts and Sciences"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":null,"date_issued":"","date_published":null,"updated_at":"2026-07-24T05:46:28Z","subjects":["Hemodialysis -- Patients -- Psychology"],"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/406","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Metzger, Richard L.","Ozbek, Irene Nichols, 1947-; Warren Amye","College of Arts and Sciences"]},{"key":"dc:creator","label":"Author","values":["Taylor, Cynthia I."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2010-05-01T07:00:00Z"]},{"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":["Hemodialysis -- Patients -- Psychology"]}]},{"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/406"]}]},{"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":["The increasing number of patients with end stage renal disease (ESRD) has caused a substantial rise in the number of individuals receiving hemodialysis. One of the persistent questions with this group has been the influence of the procedure on quality of life. The present study explored the important factors that influence quality of life in hemodialysis patients. Participants were 160 (71 men and 89 women, mean age 62.84 years) community-dwelling, hemodialysis patients. Participants completed the Kidney Disease Quality of Life questionnaire and mental health and physical health composite scores were created in order to examine factors that can be considered predictive of quality of life in these patients. By using backward regression, the scales most predictive of mental and physical health were determined. For physical health, burden of kidney disease (p= .006), effects of kidney disease (p= .011), and sleep (p= .017) were the best-fitting set of predictors. For mental health, burden of kidney disease (p< .05), cognition (p< .05), and social support (p< .05) were the best-fitting set of predictors. Using these results from the regression analysis, a model for predicting physical health was explored, along with a model for predicting mental health. No other studies of this type have used predictive models; this is the first study of its kind."]},{"key":"dc:title","label":"Title","values":["Quality of life in hemodialysis patients"]}]}],"canonical_facts":{"dc:contributor":["Metzger, Richard L.","Ozbek, Irene Nichols, 1947-; Warren Amye","College of Arts and Sciences"],"dc:creator":["Taylor, Cynthia I."],"dc:date":["2010-05-01T07:00:00Z"],"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":["The increasing number of patients with end stage renal disease (ESRD) has caused a substantial rise in the number of individuals receiving hemodialysis. One of the persistent questions with this group has been the influence of the procedure on quality of life. The present study explored the important factors that influence quality of life in hemodialysis patients. Participants were 160 (71 men and 89 women, mean age 62.84 years) community-dwelling, hemodialysis patients. Participants completed the Kidney Disease Quality of Life questionnaire and mental health and physical health composite scores were created in order to examine factors that can be considered predictive of quality of life in these patients. By using backward regression, the scales most predictive of mental and physical health were determined. For physical health, burden of kidney disease (p= .006), effects of kidney disease (p= .011), and sleep (p= .017) were the best-fitting set of predictors. For mental health, burden of kidney disease (p< .05), cognition (p< .05), and social support (p< .05) were the best-fitting set of predictors. Using these results from the regression analysis, a model for predicting physical health was explored, along with a model for predicting mental health. No other studies of this type have used predictive models; this is the first study of its kind."],"dc:identifier":["https://scholar.utc.edu/theses/406"],"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":["Hemodialysis -- Patients -- Psychology"],"dc:title":["Quality of life in hemodialysis patients"],"dc:type":["Masters theses","Text"]},"updated_at":"2026-07-24T05:46:28Z"}