Shaun Hancock1, Yvonne Wells2. 1. Public Health: Stroke Division, The Florey Institute of Neuroscience & Mental Health, Heidelberg, Victoria, Australia. 2. College of Science, Health and Engineering, La Trobe University, Bundoora, Victoria, Australia.
Abstract
OBJECTIVE: To assess the quality of life of older Australians living in rural and urban communities over time. DESIGN: Panel survey conducted in 2012-2013 and 2014-2015. SETTING: Participants lived in metropolitan Melbourne (urban sample, N = 279), rural Victoria (N = 98) or Tasmania (N = 47). PARTICIPANTS: All participants (N = 424) were clients of aged care providers or residents in retirement housing or residential care. MAIN OUTCOME MEASURES: Quality of life. RESULT: A repeated-measures analysis of variance showed a decrease in quality of life over time. There was no difference in change in quality of life over time by location of participants (urban vs rural). Multiple regression analysis showed that resilience predicted baseline quality of life in all three locations. CONCLUSION: These findings generally did not support significant differences between geographic locations in trajectories of older adults' quality of life over time. Instead, individuals' resilience appears to be the strongest predictor of quality of life.
OBJECTIVE: To assess the quality of life of older Australians living in rural and urban communities over time. DESIGN: Panel survey conducted in 2012-2013 and 2014-2015. SETTING:Participants lived in metropolitan Melbourne (urban sample, N = 279), rural Victoria (N = 98) or Tasmania (N = 47). PARTICIPANTS: All participants (N = 424) were clients of aged care providers or residents in retirement housing or residential care. MAIN OUTCOME MEASURES: Quality of life. RESULT: A repeated-measures analysis of variance showed a decrease in quality of life over time. There was no difference in change in quality of life over time by location of participants (urban vs rural). Multiple regression analysis showed that resilience predicted baseline quality of life in all three locations. CONCLUSION: These findings generally did not support significant differences between geographic locations in trajectories of older adults' quality of life over time. Instead, individuals' resilience appears to be the strongest predictor of quality of life.