BackgroundIn older adults, studies demonstrate an inverse relationship between physical function and individual inflammatory biomarkers. Given that the inflammatory response is a complex system, a combination of biomarkers may increase the strength and consistency of these associations. This study uses principal component analysis to identify inflammatory component(s) and evaluates associations between the identified component(s) and measures of physical function.MethodsPrincipal component analysis with a varimax rotation was used to identify two components from eight inflammatory biomarkers measured in 1,269 older persons. The study sample is a subset of the Health, Aging, and Body Composition study.ResultsThe two components explained 56% of the total variance in the data (34%, component 1 and 22%, component 2). Five markers (tumor necrosis factor-alpha [TNF-], sTNFRI, sTNFRII, interleukin [IL]-6sR, IL-2sR) loaded highest on the first component (TNF- related), whereas three markers (C-reactive protein [CRP], IL-6, plasminogen activator inhibitor-1) loaded highest on the second component (CRP related). After adjusting for age, sex, race, site, sampling indicator, total lean and fat mass, physical activity, smoking, and anti-inflammatory drug use, knee strength and a physical performance battery score were inversely related to the TNF--related component, but not to the CRP-related component (knee strength: ^TNF 2.71, p .002; ^CRP 0.88, p .325; physical performance battery score: ^TNF 0.05, p < .001; ^CRP 0.02, p .171). Both components were positively associated with 400-m walk time, inversely associated with grip strength, and not associated with 20-m walking speed.ConclusionsAt least two inflammatory components can be identified in an older population, and these components have inconsistent associations with different aspects of physical performance.
The Journals of Gerontology Series A: Biomedical Sciences and Medical Sciences – Oxford University Press
Published: Feb 19, 2009
Keywords: Inflammation Physical function Aging Principal component analysis
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