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, Bedford, HDAC inhibitor MA, USA). Bone mineral content, fat mass and lean soft-tissue mass were measured separately for each part of the body, including the arms and legs. The lean soft-tissue masses of the arms and legs were almost equal to the skeletal muscle mass. As absolute muscle mass correlates with height, the skeletal muscle mass index was calculated by the following formula: lean mass (kg)/height2 (m2), which is directly analogous to BMI (weight [kg]/height2 [m2]). Arm skeletal muscle mass index was defined as (arm lean mass [kg]/height2 [m2]). Leg skeletal muscle mass index was defined as (leg lean mass [kg]/height2 [m2]). Appendicular skeletal muscle mass index (SMI) was defined as the sum of the arm SMI and the leg SMI. Sarcopenia was defined according to the criteria for the Asia Working Group for Sarcopenia (AWGS) (SMI Casein kinase 2 hr. Transported samples were separated into small aliquots and stored at -70��. Serum 25-hydroxy-vitamin D (25-[OH]D), parathyroid hormone, and alkaline phosphatase levels were measured using a gamma counter (1470 Wizard; Perkin Elmer, Turku, Finland), Hitachi Automatic Analyzer 7600 (Hitachi Ltd., Tokyo, Japan) and LIAISON (DiaSorin, Stillwater, MN, USA) with radioimmunoassay (25-hydroxy-vitamin D 125I RIA Kit; DiaSorin), enzymatic (Pureauto S ALP; Sekisui Medical Co., Ltd, Tokyo, Japan) and chemiluminescence immunoassay (N-tact PTH Assay kit; DiaSorin), respectively. 8. Statistical analysis Complex sample analysis was used in this study to correct the distributions of the cluster sample regarding the primary sampling unit, covariance and significance to correspond with those of the general Korean population. All analyses were carried out using the Vismodegib solubility dmso sample weights of KNHANES. To compare means between the non-sarcopenia and sarcopenia groups, Student's t-test was used and to compare proportions, the ��2 test was used. Multiple logistic regression analysis was conducted to calculate odds ratio and 95% confidence intervals (Cis) for the association between frequency of binge drinking and the presence of sarcopenia after adjustment for demographic variables (age, waist circumference and BMI), which served as covariates. Spearman correlation analysis was performed to investigate the association between heavy metals and variables.