Anglia Ruskin University
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Multimorbidity increases the risk for sarcopenia onset: Longitudinal analyses from the English Longitudinal Study of Ageing

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posted on 2023-08-30, 19:16 authored by Nicola Veronese, Lee Smith, Emanuele Cereda, Stefania Maggi, Mario Barbagallo, Ligia Dominguez, Ai Koyanagi
Background- Cross-sectional studies have demonstrated that multimorbidity is associated with sarcopenia. However, to date, this association has not been extensively investigated longitudinally. Therefore, the aim of the present paper was to explore the association between multimorbidity at baseline and sarcopenia onset over 12 years of follow-up in a large representative sample of the English older adult population. Methods- Representative data from the English Longitudinal Study of Ageing (ELSA) were analyzed. Multimorbidity at baseline was defined as ≥2 medical conditions, of 17 conditions included. Participants were considered to have sarcopenia if they had low handgrip strength and skeletal muscle mass (i.e., lower skeletal mass index) at waves 4, 6, 8. Multivariable logistic regression analysis was conducted to assess prospective associations between multimorbidity at baseline and sarcopenia at follow-up. Results- 2873 older participants (mean age: 69.1 years, 54% females) who did not have sarcopenia at baseline were included. The prevalence of multimorbidity at baseline was 57.3%. Over twelve years of follow-up, 394 participants (=13.7% of the initial population) became sarcopenic. The presence of multimorbidity at baseline was associated with an increased risk of sarcopenia during follow-up (OR = 2.06; 95%CI: 1.61–2.62) in the univariable analysis, and even after adjusting for multiple potential confounders (OR = 1.23; 95%CI: 1.01–1.61). Conclusions- In this large representative sample of older adults from the UK, multimorbidity at baseline was associated with a higher risk of sarcopenia during twelve-year follow-up. It may be prudent to target those with multimorbidity to aid in the prevention of sarcopenia.



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Experimental Gerontology





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  • eng

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Faculty of Science & Engineering

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