Akademik Veri Yönetim Sistemi
European journal of geriatrics and gerontology (Online), cilt.7, sa.2, ss.125-133, 2025 (Scopus)
Objective: Abdominal subcutaneous fat thickness (ASFT) is an ultrasonography (USG)- based measurement that has been shown to accurately predict segmental or total fat-mass (FM) in previous studies. Since there is limited data on the relationship of ASFT with anthropometric measurements (AM) and sarcopenia, sarcopenic obesity (SO) parameters, we aimed to assess these relationships. Materials and Methods: One hundred thirty-nine geriatric outpatients were enrolled. AMs [calf circumference (CC), mid-arm circumference (MC), hip circumference (HC), waist circumference (WC), and body mass index (BMI)], handgrip strength (HGS) via the Takei grip strength dynamometer, body composition analysis with bioelectrical impedance analysis (BIA) [FM, fat-percentage (FP), fat-free mass (FFM) and phase angle (PA)], thicknesses of rectus-abdominis (RA), external oblique (EO), internal oblique and transversus abdominis (TA) muscles via USG were assessed. Results: The median (interquartile range) age was 71 (67-76) years, and 65.5% (n=91) of participants were female. ASFT was significantly correlated with CC (r=0.315, p<0.001), MC (r=0.432, p<0.001), HC (r=0.354, p<0.001), WC (r=0.199, p=0.019), BMI (r=0.334, p=0.001), FM (r=0.466, p<0.001), FP (r=0.443, p<0.001), PA (r=0.336, p<0.001), RA (r=0.175, p=0.039), EO (r=0.137, p=0.021), and TA (r= 0.209, p=0.014). Regression analysis showed that ASFT was associated with CC, MC, HC, WC, BMI, FM, FFM, PA, HGS, the thickness of RA and EO muscles, and the SO independently of sex, frailty, and age. Conclusion: Our study is the first to comprehensively examine the relationship between the ASFT and body composition analysis of BIA, abdominal muscle thicknesses, and SO. Prospective studies on the role of ASFT in predicting sarcopenia/SO parameters are warranted.