Social connection and mortality in UK Biobank: a prospective cohort analysis

Foster, H. M.E. , Gill, J. M.R. , Mair, F. S. , Celis-Morales, C. A. , Jani, B. D. , Nicholl, B. I. , Lee, D. and O'Donnell, C. A. (2023) Social connection and mortality in UK Biobank: a prospective cohort analysis. BMC Medicine, 21, 384. (doi: 10.1186/s12916-023-03055-7) (PMID:37946218) (PMCID:PMC10637015)

[img] Text
305644.pdf - Published Version
Available under License Creative Commons Attribution.

2MB

Abstract

Background: Components of social connection are associated with mortality, but research examining their independent and combined effects in the same dataset is lacking. This study aimed to examine the independent and combined associations between functional and structural components of social connection and mortality. Methods: Analysis of 458,146 participants with full data from the UK Biobank cohort linked to mortality registers. Social connection was assessed using two functional (frequency of ability to confide in someone close and often feeling lonely) and three structural (frequency of friends/family visits, weekly group activities, and living alone) component measures. Cox proportional hazard models were used to examine the associations with all-cause and cardiovascular disease (CVD) mortality. Results: Over a median of 12.6 years (IQR 11.9–13.3) follow-up, 33,135 (7.2%) participants died, including 5112 (1.1%) CVD deaths. All social connection measures were independently associated with both outcomes. Friends/family visit frequencies < monthly were associated with a higher risk of mortality indicating a threshold effect. There were interactions between living alone and friends/family visits and between living alone and weekly group activity. For example, compared with daily friends/family visits-not living alone, there was higher all-cause mortality for daily visits-living alone (HR 1.19 [95% CI 1.12–1.26]), for never having visits-not living alone (1.33 [1.22–1.46]), and for never having visits-living alone (1.77 [1.61–1.95]). Never having friends/family visits whilst living alone potentially counteracted benefits from other components as mortality risks were highest for those reporting both never having visits and living alone regardless of weekly group activity or functional components. When all measures were combined into overall functional and structural components, there was an interaction between components: compared with participants defined as not isolated by both components, those considered isolated by both components had higher CVD mortality (HR 1.63 [1.51–1.76]) than each component alone (functional isolation 1.17 [1.06–1.29]; structural isolation 1.27 [1.18–1.36]). Conclusions: This work suggests (1) a potential threshold effect for friends/family visits, (2) that those who live alone with additional concurrent markers of structural isolation may represent a high-risk population, (3) that beneficial associations for some types of social connection might not be felt when other types of social connection are absent, and (4) considering both functional and structural components of social connection may help to identify the most isolated in society.

Item Type:Articles
Additional Information:HMEF is supported by a Medical Research Council Clinical Research Training Fellowship (grant number MR/T001585/1).
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Jani, Dr Bhautesh and Celis, Dr Carlos and Gill, Professor Jason and Foster, Dr Hamish and Lee, Professor Duncan and Nicholl, Dr Barbara and Mair, Professor Frances and O'Donnell, Professor Kate
Authors: Foster, H. M.E., Gill, J. M.R., Mair, F. S., Celis-Morales, C. A., Jani, B. D., Nicholl, B. I., Lee, D., and O'Donnell, C. A.
College/School:College of Medical Veterinary and Life Sciences > School of Cardiovascular & Metabolic Health
College of Medical Veterinary and Life Sciences > School of Health & Wellbeing > General Practice and Primary Care
College of Science and Engineering > School of Mathematics and Statistics > Statistics
Journal Name:BMC Medicine
Publisher:BioMed Central
ISSN:1741-7015
ISSN (Online):1741-7015
Copyright Holders:Copyright © 2023 The Author(s)
First Published:First published in BMC Medicine 21:384
Publisher Policy:Reproduced under a Creative Commons license

University Staff: Request a correction | Enlighten Editors: Update this record

Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
305234Using Big-data to Understand the Interactions between Lifestyle, Deprivation and health outcomes to support Intervention Development in deprived areas (BUILD): a mixed methods programmeCatherine O'DonnellMedical Research Council (MRC)MR/T001585?1SHW - General Practice & Primary Care