Table 4

Logistic regression analyses for low grip strength

OR95% CIP values
(A) Bivariate analyses
 Age1.141.091 to 1.221<0.001
 Height0.800.752 to 0.872<0.001
 Weight0.800.835 to 0.927<0.001
 Fat mass0.930.859 to 0.970<0.001
 Skeletal muscle mass0.610.528 to 0.779<0.001
 Log TNF-α4.811.187 to 19.4130.028
 Hemoglobin0.620.485 to 0.8780.005
 Albumin0.080.018 to 0.263<0.001
 TTR0.850.827 to 0.948<0.001
 Zinc0.990.931 to 0.9880.007
 Hyperadiponectinemia2.921.373 to 6.4370.006
(B) Multivariate analyses
 Age1.031.021 to 1.1710.011
 Height0.880.779 to 0.923<0.001
 Skeletal muscle mass0.720.594 to 0.9510.018
 TTR0.920.829 to 0.9820.017
(C) Multivariate analyses
 Age1.161.034 to 1.1830.003
 Height0.810.783 to 0.926<0.001
 Skeletal muscle mass0.700.621 to 0.9790.032
  • Both A and B included all variables that showed significant differences between women with and without low grip strength in table 1; age, body weight, height, fat and skeletal muscle mass, TNF-α, hemoglobin, albumin, TTR, zinc and hyperadiponectinemia. In C, TTR was removed from B.

  • BMI, body mass index; CKD, chronic kidney disease; FMI, fat mass index; HDL, high-density lipoprotein; PAI-1, plasminogen activator-inhibitor-1; PB, post-breakfast; RBC, red blood cells.; SMI, skeletal muscle mass index; TNF-α, tumor necrosis factor-alpha; TTR, transthyretin; eGFR, estimated glomerular filtration rate; hsCRP, high-sensitivity C-reactive protein.