Determinants of Perceived Health in Patients with Left Ventricular Dysfunction

A Structural Modeling Analysis

Datos Bibliográficos

ID19306013
AutoresRaymond C Rosen (Johnson University), Richard J Contrada (0000-0002-9778-5531, Johnson University), Larry Gorkin (Johnson University), John B Kostis (0000-0002-0335-3827, Johnson University)
Año1997
Volumen59
Número2
Páginas193-200
Fecha de publicación1997-01-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaPsychosomatic Medicine (JOURNAL)
Identificadores de la revistaISSN: 0033-3174 • E-ISSN: 1534-7796
EditorialOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/00006842-199703000-00012
PMID9088057
OpenAlexW2170668299
IdiomaEN
Citas recibidas5
Referencias citadas36

OBJECTIVE: Few studies have evaluated the determinants of perceived health in patients with chronic illness. The present study was designed to evaluate the role of biomedical, demographic, and psychosocial influences on global subjective health by means of a structural equation modeling approach. METHOD: A conceptual model of perceived health was tested in a subsample of patients (N = 146) from the multicenter Studies of Left Ventricular Dysfunction (SOLVD) trial. Domain-specific quality of life constructs (emotional status, social support, and physical functioning), were assessed by means of multiple indicators. These latent (mediating) variables, along with six single-indicator biomedical and background variables, were modeled as predictors of a composite index of perceived health. RESULTS: A satisfactory fit was obtained for the proposed model, with practical fit indices ranging from .89 to .95. High levels of perceived health were associated with low levels of emotional distress and high levels of physical functioning. Social support was positively correlated with physical functioning and negatively associated with emotional distress. Among the background variables, no direct associations were observed between any of the single-indicator variables and perceived health. Several background variables (eg, age, income, walk-test scores) had indirect effects via associations with the latent variables of physical functioning and emotional distress. CONCLUSIONS: These findings support the use of a structural modeling approach in assessing determinants of perceived health in patients with congestive heart failure. Further research is needed to evaluate the utility of the model in other patient populations

Distress · Latent variable · Psychiatry · Psychosocial · Quality of life (healthcare) · Social support · Structural equation modeling · Cardiac Health and Mental Health · Clinical Psychology · Diabetes Management and Education · Heart Failure Treatment and Management · Medicine · Psychology · Social Psychology