Journal article

Leading determinants for multimorbidity in middle-aged Australian men and women: A nine-year follow-up cohort study

Xianwen Shang, Wei Peng, Jinrong Wu, Mingguang He, Lei Zhang

Preventive Medicine | ACADEMIC PRESS INC ELSEVIER SCIENCE | Published : 2020

Abstract

Although socioeconomic, behavioural, psychological, and biological factors have been individually linked to multimorbidity, data on the importance of these factors are limited. Our study aimed to determine the leading predictors for multimorbidity of chronic conditions in middle-aged Australian adults using machine learning methods. We included 53,867 participants aged 45-64 years from the 45 and Up Study who were free of eleven predefined chronic conditions at baseline (2006-2009) in the analysis. Incident multimorbidity was defined by the co-existence of ≥2, ≥3, or ≥ 4 conditions during follow-up until December 31, 2016. The five leading predictors for multimorbidity in men were age (7.2-2..

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Grants

Awarded by Fundamental Research Funds of the State Key Laboratory in Ophthalmology, National Natural Science Foundation of China


Awarded by National Natural Science Foundation of China


Awarded by Outstanding Young Scholars Funding


Awarded by Xi'an Jiaotong University Basic Research and Profession Grant


Awarded by Xi'an Jiaotong University Young Talent Support Grant


Funding Acknowledgements

Professor Mingguang He receives support from the University of Melbourne at Research Accelerator Program and the Centre for Eye Research Australia Foundation. The Centre for Eye Research Australia receives Operational Infrastructure Support from the Victorian State Government. The specific project is funded by Australia China Research Accelerator Program at Centre for Eye Research Australia. Professor Mingguang He is also supported by the Fundamental Research Funds of the State Key Laboratory in Ophthalmology, National Natural Science Foundation of China (81420108008). The sponsor or funding organization had no role in the design or conduct of this research. Lei Zhang is supported by the National Natural Science Foundation of China (Grant number: 81950410639); Outstanding Young Scholars Funding (Grant number: 3111500001); Xi'an Jiaotong University Basic Research and Profession Grant (Grant number: xtr022019003, xzy032020032); Epidemiology modelling and risk assessment (Grant number: 20200344) and Xi'an Jiaotong University Young Talent Support Grant (Grant number: YX6J004).