TY - JOUR
T1 - Frailty syndrome and skeletal muscle
T2 - Results from the Invecchiare in Chianti study
AU - Cesari, Matteo
AU - Leeuwenburgh, Christiaan
AU - Lauretani, Fulvio
AU - Onder, Graziano
AU - Bandinelli, Stefania
AU - Maraldi, Cinzia
AU - Guralnik, Jack M.
AU - Pahor, Marco
AU - Ferrucci, Luigi
PY - 2006/5/1
Y1 - 2006/5/1
N2 - Background: Frailty is a common condition in elders and identifies a state of vulnerability for adverse health outcomes. Objective: Our objective was to provide a biological face validity to the well-established definition of frailty proposed by Fried et al. Design: Data are from the baseline evaluation of 923 participants aged ≥65 y enrolled in the Invecchiare in Chianti study. Frailty was defined by the presence of ≥3 of the following criteria: weight loss, exhaustion, low walking speed, low hand grip strength, and physical inactivity. Muscle density and the ratios of muscle area and fat area to total calf area were measured by using a peripheral quantitative computerized tomography (pQCT) scan. Analyses of covariance and logistic regressions were performed to evaluate the relations between frailty and pQCT measures. Results: The mean age (±SD) of the study sample was 74.8 7plusmn; 6.8 y, and 81 participants (8.8%) had ≥3 frailty criteria. Participants with no frailty criteria had significantly higher muscle density (71.1 mg/cm3, SE = 0.2) and muscle area (71.2%, SE = 0.4) than did frail participants (69.8 mg/cm 3, SE = 0.4; and 68.7%, SE = 1.1, respectively). Fat area was significantly higher in frail participants (22.0%, SE = 0.9) than in participants with no frailty criteria (20.3%, SE = 0.4). Physical inactivity and low walking speed were the frailty criteria that showed the strongest associations with pQCT measures. Conclusion: Frail subjects, identified by an easy and inexpensive frailty score, have lower muscle density and muscle mass and higher fat mass than do nonfrail persons.
AB - Background: Frailty is a common condition in elders and identifies a state of vulnerability for adverse health outcomes. Objective: Our objective was to provide a biological face validity to the well-established definition of frailty proposed by Fried et al. Design: Data are from the baseline evaluation of 923 participants aged ≥65 y enrolled in the Invecchiare in Chianti study. Frailty was defined by the presence of ≥3 of the following criteria: weight loss, exhaustion, low walking speed, low hand grip strength, and physical inactivity. Muscle density and the ratios of muscle area and fat area to total calf area were measured by using a peripheral quantitative computerized tomography (pQCT) scan. Analyses of covariance and logistic regressions were performed to evaluate the relations between frailty and pQCT measures. Results: The mean age (±SD) of the study sample was 74.8 7plusmn; 6.8 y, and 81 participants (8.8%) had ≥3 frailty criteria. Participants with no frailty criteria had significantly higher muscle density (71.1 mg/cm3, SE = 0.2) and muscle area (71.2%, SE = 0.4) than did frail participants (69.8 mg/cm 3, SE = 0.4; and 68.7%, SE = 1.1, respectively). Fat area was significantly higher in frail participants (22.0%, SE = 0.9) than in participants with no frailty criteria (20.3%, SE = 0.4). Physical inactivity and low walking speed were the frailty criteria that showed the strongest associations with pQCT measures. Conclusion: Frail subjects, identified by an easy and inexpensive frailty score, have lower muscle density and muscle mass and higher fat mass than do nonfrail persons.
KW - Aging
KW - Body composition
KW - Epidemiology
KW - Fat mass
KW - Frailty
KW - Inflammation
KW - Muscle density
KW - Muscle mass
KW - Skeletal muscle
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M3 - Article
C2 - 16685058
AN - SCOPUS:33745158645
SN - 0002-9165
VL - 83
SP - 1142
EP - 1148
JO - American Journal of Clinical Nutrition
JF - American Journal of Clinical Nutrition
IS - 5
ER -