TY - JOUR
T1 - Association between inflammatory components and physical function in the health, aging, and body composition study: a principal component analysis approach
AU - Hsu, F.C.
AU - Kritchevsky, S.B.
AU - Liu, Y.-J.
AU - Kanaya, A.
AU - Newman, A.B.
AU - Perry, S.E.
AU - Visser, M.
AU - Pahor, M.
AU - Harris, T.B.
AU - Nicklas, B.J.
PY - 2009
Y1 - 2009
N2 - Background. In 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. Methods. Principal component analysis with a varimax rotation was used to identify two components from eight in-flammatory biomarkers measured in 1,269 older persons. The study sample is a subset of the Health, Aging, and Body Composition study. Results. The 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-α], sTNFRI, sTNFRII, interleukin [IL]-6sR, IL-2sR) loaded highest on the first component (TNF-α 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-α-related component, but not to the CRP-related component (knee strength: β
AB - Background. In 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. Methods. Principal component analysis with a varimax rotation was used to identify two components from eight in-flammatory biomarkers measured in 1,269 older persons. The study sample is a subset of the Health, Aging, and Body Composition study. Results. The 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-α], sTNFRI, sTNFRII, interleukin [IL]-6sR, IL-2sR) loaded highest on the first component (TNF-α 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-α-related component, but not to the CRP-related component (knee strength: β
U2 - 10.1093/gerona/glp005
DO - 10.1093/gerona/glp005
M3 - Article
SN - 1079-5006
VL - 64A
SP - 581
EP - 589
JO - Journals of Gerontology. Series A : Biological Sciences & Medical Sciences
JF - Journals of Gerontology. Series A : Biological Sciences & Medical Sciences
IS - 5
ER -
