Literature DB >> 30007359

Loneliness as a risk factor for care home admission in the English Longitudinal Study of Ageing.

Barbara Hanratty1, Daniel Stow1, Danni Collingridge Moore2, Nicole K Valtorta1, Fiona Matthews1.   

Abstract

Background: loneliness has an adverse effect on health and well-being, and is common at older ages. Evidence that it is a risk factor for care home admission is sparse. Objective: to investigate the association between loneliness and care home admission. Setting: English Longitudinal Study of Ageing (ELSA). Participants: two-hundred fifty-four individuals across seven waves (2002-15) of ELSA who moved into care homes were age, sex matched to four randomly selected individuals who remained in the community.
Methods: logistic regression models examined associations between loneliness, socio-demographic factors, functional status and health on moving into care homes.
Results: loneliness (measured by the University of California, Los Angeles (UCLA) Loneliness Scale and a single-item question from the Center for Epidemiological Studies Depression Scale (CES-D)) was associated with moving into a care home (CES-D OR 2.13, 95% CI 1.43-3.17, P = 0.0002, UCLA OR 1.81, 95% CI 1.01-3.27, P = 0.05). The association persisted after adjusting for established predictors (age, sex, social isolation, depression, memory problems including diagnosis of Alzheimer's disease, disability, long-term physical health and wealth). The impact of loneliness (measured by CES-D) on admission accounted for a population attributable fraction of 19.9% (95% CI 7.8-30.4%). Conclusions: loneliness conveys an independent risk of care home admission that, unlike other risk factors, may be amenable to modification. Tackling loneliness amongst older adults may be a way of enhancing wellbeing and delaying or reducing the demand for institutional care.

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Year:  2018        PMID: 30007359      PMCID: PMC6481549          DOI: 10.1093/ageing/afy095

Source DB:  PubMed          Journal:  Age Ageing        ISSN: 0002-0729            Impact factor:   10.668


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