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Cluster analysis of physical and cognitive ageing patterns in older people from Shanghai

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posted on 2016-04-18, 11:29 authored by Stephan Bandelow, Xin Xu, Shifu Xiao, Eef HogervorstEef Hogervorst
This study investigated the relationship between education, cognitive and physical function in older age, and their respective impacts on activities of daily living (ADL). Data on 148 older participants from a community-based sample recruited in Shanghai, China, included the following measures: age, education, ADL, grip strength, balance, gait speed, global cognition and verbal memory. The majority of participants in the present cohort were cognitively and physically healthy and reported no problems with ADL. Twenty-eight percent of participants needed help with ADL, with the majority of this group being over 80 years of age. Significant predictors of reductions in functional independence included age, balance, global cognitive function (MMSE) and the gait measures. Cluster analysis revealed a protective effect of education on cognitive function that did not appear to extend to physical function. Consistency of such phenotypes of ageing clusters in other cohort studies may provide helpful models for dementia and frailty prevention measures.

Funding

This study was supported by the National Pillar Program of the Chinese Ministry of Science and Technology (project 2009BAI77B03).

History

School

  • Sport, Exercise and Health Sciences

Published in

Diagnostics (Basel, Switzerland)

Volume

6

Issue

1

Citation

BANDELOW, S. ... et al., 2016. Cluster analysis of physical and cognitive ageing patterns in older people from Shanghai. Diagnostics, 6 (1), DOI: 10.3390/diagnostics6010011.

Publisher

MDPI (© the authors)

Version

  • VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution 4.0 International (CC BY 4.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/ by/4.0/

Publication date

2016-02-22

eISSN

2075-4418

Language

  • en

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