Gary Cheung1, Valerie Wright-St Clair2, Emme Chacko3, Yoram Barak4. 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. Electronic address: Yoram.Barak@otago.ac.nz.
Abstract
AIM: To 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. METHODS: Older 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. RESULTS: Data 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. CONCLUSIONS: Determining 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.
AIM: To 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. METHODS: Older 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. RESULTS: Data 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. CONCLUSIONS: Determining 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.
Authors: Christopher C Stewart; Lei Yu; Crystal M Glover; Gary Mottola; David A Bennett; Robert S Wilson; Patricia A Boyle Journal: Gerontologist Date: 2020-11-23