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Association Between 20-Year Trajectories of Nonoccupational Physical Activity From Midlife to Old Age and Biomarkers of Cardiovascular Disease: A 20-Year Longitudinal Study of British Men

Aggio, D; Papachristou, E; Papacosta, O; Lennon, LT; Ash, S; Whincup, PH; Wannamethee, SG; Jefferis, BJ (2018) Association Between 20-Year Trajectories of Nonoccupational Physical Activity From Midlife to Old Age and Biomarkers of Cardiovascular Disease: A 20-Year Longitudinal Study of British Men. Am J Epidemiol, 187 (11). pp. 2315-2323. ISSN 1476-6256 https://doi.org/10.1093/aje/kwy157
SGUL Authors: Whincup, Peter Hynes

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Abstract

The trajectories of physical activity (PA) from midlife into old age and their associations with established and novel cardiovascular disease (CVD) risk factors in later life remain unclear. This study examined associations between 20-year non-occupational PA trajectories and a range of CVD biomarkers at 60-79 years. 3,331 men (mean baseline age = 50.2 ± 5.8 years) recruited in 1978-80 were followed up after 12, 16 and 20 years, reporting habitual non-occupational PA at each wave. At the 20-year follow up, surviving men attended a physical examination and provided a fasting blood sample. Group-based trajectory modelling was used to identify trajectories. Adjusted regression analyses examined the association between trajectory group membership and several cardiometabolic, cardiac and inflammatory markers at follow up. Three distinct 20-year trajectories were identified: low decreasing (21.3%), light stable (51.8%) and moderate increasing (27.0%). Compared to the low decreasing group, membership of the light stable and moderate increasing trajectory groups was associated with a more favorable cardiometabolic profile, lower levels of inflammation and endothelial dysfunction. Although following a moderate increasing PA trajectory was most favorable, more modest but sustained doses of PA into old age may be sufficient to lower CVD risk.

Item Type: Article
Additional Information: © The Author(s) 2018. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: Epidemiology, 11 Medical And Health Sciences, 01 Mathematical Sciences
SGUL Research Institute / Research Centre: Academic Structure > Population Health Research Institute (INPH)
Journal or Publication Title: Am J Epidemiol
ISSN: 1476-6256
Language: eng
Dates:
DateEvent
1 November 2018Published
14 August 2018Published Online
23 July 2018Accepted
Publisher License: Creative Commons: Attribution 4.0
Projects:
Project IDFunderFunder ID
FS/15/70/32044British Heart Foundationhttp://dx.doi.org/10.13039/501100000274
2010-03-023National Institute for Health Researchhttp://dx.doi.org/10.13039/501100000272
PG/13/86/30546British Heart Foundationhttp://dx.doi.org/10.13039/501100000274
RG/13/16/30528British Heart Foundationhttp://dx.doi.org/10.13039/501100000274
PubMed ID: 30124747
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/110151
Publisher's version: https://doi.org/10.1093/aje/kwy157

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