TY - JOUR
T1 - Association of anthropometric measures with fat and fat-free mass in the elderly: The Rotterdam study
AU - Dhana, K
AU - Koolhaas, Chantal
AU - Schoufour, Josje
AU - Rivadeneira, Fernando
AU - Hofman, Bert
AU - Kavousi, Maryam
AU - Franco Duran, OH
PY - 2016
Y1 - 2016
N2 - Objectives: The decrease in fat-free mass (FFM) seen in many elderly people is usually associated with an increase in fat mass (FM), a state referred to as sarcopenic obesity. It is not clear which anthropometric measures are best used to identify sarcopenic obesity. We therefore evaluated which anthropometric measures are differentially associated with FM and FFM. Main outcome and measures: The anthropometric measures tested were body mass index (BMI), waist circumference (WC), and a body shape index (ABSI = WC/(BMI(2/3*)Height(1/2))). FM and FFM were estimated by dual-energy X-ray absorptiometry. An index-score was calculated for both FM (FMI) and FFM (FFMI) by dividing FM and FFM by height. Multivariable linear regression models were used to assess the associations of BMI, WC and ABSI with FMI and FFMI among 3612 participants (2092 women) from the prospective population-based Rotterdam Study. Results: In multivariate models adjusted for confounders, BMI and WC were positively associated with both FMI and FFMI in men and women. ABSI was positively associated with FMI (beta 1.01, 95% confidence interval (95%CI) 0.85, 1.17) and negatively associated with FFMI (beta -0.28, 95%CI -0.38, -0.17) in men. In women, ABSI was not associated with FMI and was positively associated with FFMI (beta 0.18, 95% CI 0.10, 0.26). Conclusions: While BMI and WC were both positively associated with FM and FFM, ABSI showed a differential association with FM and FFM in men, but not in women. Since sarcopenic obesity is associated with decreased FFM and increased FM, ABSI could be a useful tool for identifying men at higher risk of sarcopenic obesity. (C) 2016 Elsevier Ireland Ltd. All rights reserved.
AB - Objectives: The decrease in fat-free mass (FFM) seen in many elderly people is usually associated with an increase in fat mass (FM), a state referred to as sarcopenic obesity. It is not clear which anthropometric measures are best used to identify sarcopenic obesity. We therefore evaluated which anthropometric measures are differentially associated with FM and FFM. Main outcome and measures: The anthropometric measures tested were body mass index (BMI), waist circumference (WC), and a body shape index (ABSI = WC/(BMI(2/3*)Height(1/2))). FM and FFM were estimated by dual-energy X-ray absorptiometry. An index-score was calculated for both FM (FMI) and FFM (FFMI) by dividing FM and FFM by height. Multivariable linear regression models were used to assess the associations of BMI, WC and ABSI with FMI and FFMI among 3612 participants (2092 women) from the prospective population-based Rotterdam Study. Results: In multivariate models adjusted for confounders, BMI and WC were positively associated with both FMI and FFMI in men and women. ABSI was positively associated with FMI (beta 1.01, 95% confidence interval (95%CI) 0.85, 1.17) and negatively associated with FFMI (beta -0.28, 95%CI -0.38, -0.17) in men. In women, ABSI was not associated with FMI and was positively associated with FFMI (beta 0.18, 95% CI 0.10, 0.26). Conclusions: While BMI and WC were both positively associated with FM and FFM, ABSI showed a differential association with FM and FFM in men, but not in women. Since sarcopenic obesity is associated with decreased FFM and increased FM, ABSI could be a useful tool for identifying men at higher risk of sarcopenic obesity. (C) 2016 Elsevier Ireland Ltd. All rights reserved.
U2 - 10.1016/j.maturitas.2016.03.018
DO - 10.1016/j.maturitas.2016.03.018
M3 - Article
C2 - 27105706
SN - 0378-5122
VL - 88
SP - 96
EP - 100
JO - Maturitas
JF - Maturitas
ER -
