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  • 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

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Original research
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

Authors

  • Achamyeleh Birhanu Teshale School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia PubMed articlesGoogle scholar articles
  • Htet Lin Htun School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia PubMed articlesGoogle scholar articles
  • Alice J. Owen School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia PubMed articlesGoogle scholar articles
  • Joanne Ryan School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia PubMed articlesGoogle scholar articles
  • JR Baker Primary & Community Care Services Ltd, Thornleigh, New South Wales, Australia PubMed articlesGoogle scholar articles
  • Mor Vered Department of Data Science and AI, Faculty of Information Technology, Monash University, Clayton, Victoria, Australia PubMed articlesGoogle scholar articles
  • Christopher M Reid School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia School of Public Health, Curtin University, Bentley, Western Australia, Australia PubMed articlesGoogle scholar articles
  • Robyn L. Woods School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia PubMed articlesGoogle scholar articles
  • Michael Berk 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 PubMed articlesGoogle scholar articles
  • Andrew Tonkin School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia PubMed articlesGoogle scholar articles
  • Johannes T Neumann 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 PubMed articlesGoogle scholar articles
  • Monique F Kilkenny 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 PubMed articlesGoogle scholar articles
  • Aung Zaw Zaw Phyo School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia PubMed articlesGoogle scholar articles
  • Mark R Nelson Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia PubMed articlesGoogle scholar articles
  • Nigel Stocks Discipline of General Practice, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia PubMed articlesGoogle scholar articles
  • Carlene Britt School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia PubMed articlesGoogle scholar articles
  • Rosanne Freak-Poli School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Rosanne Freak-Poli; rosanne.freak-poli{at}monash.edu
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Citation

Teshale AB, Htun HL, Owen AJ, et al
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
J Epidemiol Community Health 2024;78:737-744.

Publication history

  • Received December 23, 2023
  • Accepted May 21, 2024
  • First published June 5, 2024.
Online issue publication 
November 11, 2024

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© Author(s) (or their employer(s)) 2024. No commercial re-use. See rights and permissions. Published by BMJ.