A Structural Analysis of Health-Related Quality of Life Dimensions

Bibliographic Data

ID9890521
AuthorsDavid M Romney (University of Calgary, corresponding author), C David Jenkins (0000-0002-7581-002X, University of Texas.), John Bynner, John M Bynner (City University, U.K.)
Year1992
Volume45
Issue2
Pages165-176
Publication date1992-02-01
Open AccessYes
TypeARTICLE
VenueHuman Relations (JOURNAL)
Journal identifiersISSN: 0018-7267 • E-ISSN: 1741-282X
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/001872679204500204
OpenAlexW2125572280
LanguageEN
Citations received6
References cited16

Of critical importance in the applications of quality of life theory and measurement to clinical situations is the need to know how the different components of quality of life relate to each other and what these relationships mean. To answer this question, the present study reanalyzes data collected 6 months after surgery on 469 patients with cardiovascular problems. The data were factor analyzed and five factors were extracted, namely, Symptoms of Illness, Neurological Dysfunction, Interpersonal Relationships, Morale, and Socioeconomic Status. Because the factor scores derived from these five factors intercorrelated, we were able to hypothesize causal models suggesting how the factors might affect each other. Two competing models were tested against the data using LISREL. A crucial difference between the two models was that in one, Symptoms lowered Morale whereas in the other, low Morale aggravated Symptoms, i.e., a psychosomatic effect. The first model fitted the data very well in contrast to the second model which did not fit the data at all. The authors consider the implications of the first model for improving quality of life in cardiac patients

Affect (linguistics · Causal model · Contrast (vision · Developmental psychology · Interpersonal communication · LISREL · Psychotherapist · Quality (philosophy · Quality of life (healthcare · Socioeconomic status · Sociology · Statistics · Structural equation modeling · Cardiac Health and Mental Health · Clinical Psychology · Computer Science · Demography · Health Systems, Economic Evaluations, Quality of Life · Healthcare professionals’ stress and burnout · Mathematics · Medicine · Psychology · Social Psychology

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