Quality of Life Model: Predictors of Quality of Life Among Sick Older Adults

The aim of this study was to explore how depressive symptoms, physical function, health satisfaction, age, and environmental conditions predict quality of life (QoL) in a conceptual model based on the Wilson and Cleary’s Model (WCM). A stratified sample by age, gender, and living area was drawn from the Norwegian population of older adults receiving community health care (mean age of 78.6 years, 94.4% living at home, 5.6% living in nursing homes). The study is part of a larger international study. Face-to-face interviews were conducted using the WHOQoL-Old, the WHOQoL-Bref Environment domain, the Geriatric Depression Scale, the Short Form SF-12, and sociodemographic and health questions. A path analysis (structural equation modeling) showed that the overall model provided empirical evidence for linkages in the WCM. QoL was manifested by significant direct effects of environmental conditions and health satisfaction. In addition, environmental conditions had indirect effects on QoL, in particular via depressive symptoms and health satisfaction. This model may help nurses in community health care to collect and assess information, to suggest suitable interventions, and to guide decision making.