Gender-specific aspects of socialisation and risk of cardiovascular disease among community-dwelling older adults: a prospective cohort study using machine learning algorithms and a conventional method.

Autor:	Teshale AB; School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia., Htun HL; School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia., Owen AJ; School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia., Ryan J; School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia., Baker JR; Primary & Community Care Services Ltd, Thornleigh, New South Wales, Australia., Vered M; Department of Data Science and AI, Faculty of Information Technology, Monash University, Clayton, Victoria, Australia., Reid CM; School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.; School of Public Health, Curtin University, Bentley, Western Australia, Australia., Woods RL; School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia., Berk M; School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.; Institute for Mental and Physical Health and Clinical Translation (IMPACT), Food & Mood Centre, School of Medicine, Deakin University and Barwon Health, Geelong, Victoria, Australia., Tonkin A; School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia., Neumann JT; School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.; Department of Cardiology, University Heart & Vascular Centre, Hamburg, Germany.; German Centre for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Hamburg, Germany., Kilkenny MF; Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.; Stroke Division, The Florey Institute of Neuroscience and Mental Health, University of Melbourne, The University of Melbourne, Heidelberg, Victoria, Australia., Phyo AZZ; School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia., Nelson MR; Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia., Stocks N; Discipline of General Practice, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia., Britt C; School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia., Freak-Poli R; School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia rosanne.freak-poli@monash.edu.; School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.
Jazyk:	angličtina
Zdroj:	Journal of epidemiology and community health [J Epidemiol Community Health] 2024 Nov 11; Vol. 78 (12), pp. 737-744. Date of Electronic Publication: 2024 Nov 11.
DOI:	10.1136/jech-2023-221860
Abstrakt:	Background: Gender influences cardiovascular disease (CVD) through norms, social relations, roles and behaviours. This study identified gender-specific aspects of socialisation associated with CVD. Methods: A longitudinal study was conducted, involving 9936 (5,231 women and 4705 men) initially healthy, community-dwelling Australians aged 70 years or more from the ASPirin in Reducing Events in the Elderly (ASPREE) study and ASPREE Longitudinal Study of Older Persons, with a median follow-up time of 6.4 years. Variable categorisation, variable selection (using machine learning (ML) models; Elastic Net and extreme gradient boosting) and Cox-regression were employed separately by binary gender to identity socialisation factors (n=25 considered) associated with CVD. Results: Different socialisation factors were identified using the ML models. In the Cox model, for both genders, being married/partnered was associated with a reduced risk of CVD (men: HR 0.76, 95% CI 0.60 to 0.96; women: HR 0.67, 95% CI 0.58 to 0.95). For men, having 3-8 relatives they felt close to and could call on for help (HR 0.76, 95% CI 0.58 to 0.99; reference <3 relatives), having 3-8 relatives they felt at ease talking with about private matters (HR 0.70, 95% CI 0.55 to 0.90; reference <3 relatives) or playing games such as chess or cards (HR 0.82, 95% CI 0.67 to 1.00) was associated with reduced risk of CVD. For women, living with others (HR 0.71, 95% CI 0.55 to 0.91) or having ≥3 friends they felt at ease talking with about private matters (HR 0.74, 95% CI 0.58 to 0.95; reference <3 friends) was associated with a lower risk of CVD. Conclusions: This study demonstrates the need to prioritise gender-specific social factors to improve cardiovascular health in older adults. Competing Interests: Competing interests: None declared. (© Author(s) (or their employer(s)) 2024. No commercial re-use. See rights and permissions. Published by BMJ.)
Databáze:	MEDLINE
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