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THE CHARACTERISTICS THAT ASSOCIATE WITH HEALTH RELATED QUALITY OF LIFE IN PATIENTS WITH TYPE-2 DIABETES

Chia, Lichun (2007) THE CHARACTERISTICS THAT ASSOCIATE WITH HEALTH RELATED QUALITY OF LIFE IN PATIENTS WITH TYPE-2 DIABETES. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

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Abstract

PURPOSE: The study examined characteristics (sociodemographic and number and types of study-focused comorbidities) associated with health related quality of life and the relationships between general health-related (MOS SF-36) and diabetes specific (Diabetes Quality of Life Measure - DQOL) quality of life, and tested the revised Wilson and Cleary model proposed by Ferrans et al. utilizing the Structure Equation Modeling (SEM) in individuals with type-2 diabetes and hypertension and/or hyperlipidemia. Type-2 diabetes impairs health and quality of life with potentially devastating consequences occurring as a result of diabetes-related comorbidities. Wilson and Cleary proposed a comprehensive conceptual model for HRQoL. The model had not been tested in diabetes. METHODS: Three hundred twenty-one subjects with type-2 diabetes and hypertension and/or hyperlipidemia were included in this secondary data analysis. The parent study examined the impact of a problem-solving based, multi-component telephone intervention on adherence to multiple medications in subjects with type-2 diabetes and hypertension and/or hyperlipidemia. Baseline data from the parent study were utilized in the current study. RESULTS: Characteristics significantly related (p < .01) to general health related and/or diabetes specific quality of life included gender, age, income, marital status, household size, the number of study-focused comorbidities, peripheral vascular disease, renal disease, history of stroke/TIA, psychological problems and arthritis. Most correlations between SF-36 subscale and DQOL subscale/total scores were statistically significant (p < .01). Following considerable modifications to both the measurement and structural equation model (i.e., addition of correlated errors, omission of measured variables, and addition of new variables), the revised Wilson and Cleary model was valid for explaining the relationships between the selected observed variables and their relationship to overall quality of life ( = 203.986, CMIN/DF = 2.081, CFI = 0.952, SRMR = 0.0549 and RMSEA = 0.058 with 90% CI = 0.047 - 0.069). CONCLUSIONS: The SF-36 was more sensitive to sociodemographic variables and the presence of study-focused comorbidities than the DQOL. After data modifications, the revised Wilson and Cleary model provided a good fit to the data in these subjects with type-2 diabetes and hypertension and/or hyperlipidemia. These findings need to be confirmed in a larger independent study.


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Details

Item Type: University of Pittsburgh ETD
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Chia, Lichunlic22@pitt.edu, rebchia@hotmail.comLIC22
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairEngberg, Sandrasje1@pitt.eduSJE1
Committee MemberRodriguez, Ericrodriguezeg@upmc.eduEROD
Committee MemberDunbar-Jacob, Jacquelinedunbar@pitt.eduDUNBAR
Committee MemberSereika, Susan M.ssereika@pitt.eduSSEREIKA
Date: 13 June 2007
Date Type: Completion
Defense Date: 24 April 2007
Approval Date: 13 June 2007
Submission Date: 7 June 2007
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Institution: University of Pittsburgh
Schools and Programs: School of Nursing > Nursing
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: biological and physiological factors; characteristics; compare; demographic; Diabetes; DQOL; functional status; HRQOL; individual characteristics; QOL; quality of life; SEM; SF-36; symptom status; Wilson and Cleary Model; environmental characteristics; type-2
Other ID: http://etd.library.pitt.edu/ETD/available/etd-06072007-092944/, etd-06072007-092944
Date Deposited: 10 Nov 2011 19:46
Last Modified: 19 Dec 2016 14:36
URI: http://d-scholarship.pitt.edu/id/eprint/8028

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