期刊
AGE AND AGEING
卷 50, 期 6, 页码 2019-2024出版社
OXFORD UNIV PRESS
DOI: 10.1093/ageing/afab155
关键词
living alone; marital transitions; loneliness; ageing; mortality; older people
资金
- National Institute on Aging [RO1AG17644]
- consortium of UK Government departments
The study found an association between living alone and mortality, especially for individuals who transitioned to living alone after divorce or bereavement. Those who transitioned to living alone for other reasons did not show an increased risk of mortality.
Background: Living alone has been associated with increased mortality risk, but it is unclear whether this is a result of a selection effect or the impact of stressful life changes such as widowhood or divorce leading to changes in living arrangements. We therefore examined the association between living alone, transitions in living arrangements and all-cause mortality. Method: We analysed data from 4,888 individuals who participated in both wave 2 (2004-2005) and wave 4 (2008-2009) of the English Longitudinal Study of Ageing. Transitions in living arrangements over this period were identified. Mortality status was ascertained from linked national mortality registers. Cox proportional hazards analysis was used to examine the association between living alone and mortality over an average 8.5 year follow-up period. Results: An association was found between living alone at wave 4 and mortality (hazard ratio (HR): 1.20, 95% CI 1.04-1.38) in a model adjusted for multiple factors including socioeconomic status, physical health, health behaviours and loneliness. We also found that participants who moved to living alone after divorce or bereavement had a higher risk of mortality compared with those who lived with others at both time points (HR: 1.34, 95% CI 1.01-1.79), while those who moved to living alone for other reasons did not show an increased mortality risk. Conclusions: The relationship between living alone and mortality is complicated by the reasons underlying not living with others. A greater understanding of these dynamics will help to identify the individuals who are at particular health risk because of their living arrangements.
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