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Financial difficulty and biopsychosocial predictors of loneliness: A cross-sectional study of community dwelling older adults
Affiliation:1. Department of Psychological Medicine, The University of Auckland, New Zealand;2. AUT Centre for Active Ageing, Auckland University of Technology, New Zealand;3. Auckland District Health Board and the University of Auckland, New Zealand;4. Dunedin School of Medicine, University of Otago, Dunedin, New Zealand;1. Christchurch School of Medicine and Health Sciences, University of Otago, Christchurch, New Zealand;2. University of Canterbury–Te Whare Wānanga o Waitaha, School of Health Sciences, Christchurch, Canterbury, New Zealand;3. The University of Queensland, School of Clinical Medicine, Primary Care Clinical Unit, Brisbane, Queensland, Australia;4. Department of Nursing, Canterbury District Health Board, Canterbury, Christchurch, New Zealand;5. Department of Psychological Medicine, University of Otago, Christchurch, New Zealand;1. Public Health and Quality Improvement, Central Denmark Region, Olof Palmes Allé 15, 8200, Aarhus N, Denmark;2. Department of Psychology, University of Southern Denmark, Campusvej 55, 5230, Odense M, Denmark;1. Research Team for Social Participation and Community Health, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan;2. Research Team for Human Care, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan;3. Research Team for Promoting Independence of the Elderly, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan;4. Department of Social Medicine, Hirosaki University Graduate School of Medicine, Hirosaki City, Aomori, Japan;1. University of Groningen, University Medical Center Groningen, Department of General Practice, PO Box 196, 9700 AD Groningen, The Netherlands;2. Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands;3. Clinical Chair in Primary Care Research, Centre for Primary Care, University of Manchester, United Kingdom;4. Department of Psychiatry and EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands;5. NIVEL, Netherlands Institute of Health Services Research, The Netherlands
Abstract:AimTo investigate the interplay of sociodemographic, health, functional and psychosocial factors in predicting loneliness in community dwelling older adults accessing home support services and long-term aged residential care.MethodsOlder New Zealanders (age 65+), who had their first interRAI Home Care assessment between July 2014 and June 2016, were included. The outcome variable was the binary interRAI item “Lonely”. The predictor variables included sociodemographics, hearing, vision, self-reported health, activities of daily living, social interaction and support, and depression.ResultsData from 51,239 assessments of older adults (mean age: 82.3 years; female: 61%; European: 87.3%) were analysed. Loneliness was reported in 21%. A stepwise logistic regression model explained 12.1% of the variance and was statistically significant (Chi2 = 3501.0.8, df = 22; p < 0.001). The factors with the largest odds ratios (OR > 1.5) were depression, living alone, being Asian, financial difficulty and not in a relationship. Functional impairment was negatively associated with loneliness.ConclusionsDetermining the predictors of older adults’ loneliness is complex, multi-factorial, with each factor having a small, additive effect on the development of loneliness. Depression, social factors and financial difficulty are the strongest predictors but much of the variance remains unexplained. These factors could be targeted as modifiable risk factors for addressing loneliness in older adults.
Keywords:Loneliness  Financial difficulty  Older adults
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