Social isolation, social support and loneliness as predictors of cardiovascular disease incidence and mortality Freak-Poli, R, Ryan, J, Neumann, JT, Tonkin, A, Reid, CM, Woods, RL, Nelson, M, Stocks, N, Berk, Michael, McNeil, JJ, Britt, C and Owen, AJ 2021, Social isolation, social support and loneliness as predictors of cardiovascular disease incidence and mortality, BMC Geriatrics, vol. 21, no. 1, pp. 1-14, doi: 10.1186/s12877-021-02602-2. Attached Files Name Description MIMEType Size Downloads Title Social isolation, social support and loneliness as predictors of cardiovascular disease incidence and mortality Author(s) Freak-Poli, R Ryan, J Neumann, JT Tonkin, A Reid, CM Woods, RL Nelson, M Stocks, N Berk, Michael orcid.org/0000-0002-5554-6946 McNeil, JJ Britt, C Owen, AJ Journal name BMC Geriatrics Volume number 21 Issue number 1 Article ID ARTN 711 Start page 1 End page 14 Total pages 14 Publisher BMC Place of publication London, Eng Publication date 2021-12 ISSN 1471-2318 1471-2318 Keyword(s) AGE Aging Cardiovascular Diseases CARE COMMUNITY Geriatrics Geriatrics & Gerontology Gerontology HEALTH IMPACT Interpersonal Relations Life Sciences & Biomedicine Loneliness MYOCARDIAL-INFARCTION OLDER-ADULTS RISK-FACTORS Science & Technology Social Isolation Social Support STROKE Summary Abstract Background Poor social health is associated with increased risk of cardiovascular disease (CVD). Recent research suggests that different social health domains should be considered separately as the implications for health and possible interventions may differ. Aim To assess social isolation, low social support and loneliness as predictors of CVD. Methods Secondary analysis of 11,486 community-dwelling, Australians, aged 70 years and over, free of CVD, dementia, or significant physical disability, from the ASPirin in Reducing Events in the Elderly (ASPREE) trial. Social isolation, social support (Revised Lubben Social Network Scale), and loneliness were assessed as predictors of CVD using Cox proportional-hazard regression. CVD events included fatal CVD, heart failure hospitalization, myocardial infarction and stroke. Analyses were adjusted for established CVD risk factors. Results Individuals with poor social health were 42 % more likely to develop CVD (p = 0.01) and twice as likely to die from CVD (p = 0.02) over a median 4.5 years follow-up. Interaction effects indicated that poorer social health more strongly predicted CVD in smokers (HR 4.83, p = 0.001, p-interaction = 0.01), major city dwellers (HR 1.94, p < 0.001, p-interaction=0.03), and younger older adults (70-75 years; HR 2.12, p < 0.001, p-interaction = 0.01). Social isolation (HR 1.66, p = 0.04) and low social support (HR 2.05, p = 0.002), but not loneliness (HR 1.4, p = 0.1), predicted incident CVD. All measures of poor social health predicted ischemic stroke (HR 1.73 to 3.16). Conclusions Among healthy older adults, social isolation and low social support may be more important than loneliness as cardiovascular risk factors. Social health domains should be considered in future CVD risk prediction models. Language eng DOI 10.1186/s12877-021-02602-2 Field of Research 1103 Clinical Sciences 1106 Human Movement and Sports Sciences HERDC Research category C1 Refereed article in a scholarly journal Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30160461 Document type: Journal Article Collections: Faculty of Health School of Medicine Open Access Collection Related Links Link Description Link to full-text (open access)   Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Fri, 31 Dec 2021, 14:05:53 EST Fri, 31 Dec 2021, 14:51:51 EST Tue, 18 Jan 2022, 16:37:49 EST Tue, 01 Mar 2022, 08:18:33 EST Tue, 01 Mar 2022, 08:25:48 EST Wed, 02 Mar 2022, 06:23:51 EST Sat, 12 Mar 2022, 17:36:49 EST Filtered Full Citation counts:   Cited 6 times in TR Web of Science Cited 4 times in Scopus Search Google Scholar Access Statistics: 24 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Fri, 31 Dec 2021, 14:05:53 EST