Skip to main content
. 2021 Jul 17;13(14):3584. doi: 10.3390/cancers13143584

Table 2.

Multivariate analysis for lymphedema volume, fat mass and lean mass.

Variables Lymphedema Volume
(%)
Lymphedema Fat Mass (%) Lymphedema Lean Mass (%)
Coefficient (95% CI) p-Value Coefficient (95% CI) p-Value Coefficient (95% CI) p-Value
Age (per age) −0.01 (−0.29; 0.26) n.s −0.45 (−1.14; 0.25) n.s 0.19 (−0.02; 0.59) n.s
BMI (per point) 1.44 (0.74; 2.13) <0.001 0.69 (-1.12; 2.50) n.s 2.18 (1.21; 3.15) <0.001
Lymphedema duration (per year) 0.18 (−0.51; 0.88) n.s 0.26 (−1.48; 2.00) n.s 0.31 (−0.67; 1.29) n.s
Cellulitis (yes) 12.35 (6.23; 18.47) <0.001 20.74 (5.35; 36.12) <0.001 9.95 (1.28; 18.62) <0.05
Bodily smooth muscle mass (per 1%) 1.77 (−0.55; 3.00) n.s 2.99 (−0.07; 6.05) n.s 1.66 (−0.05; 3.38) n.s
Bodily fat mass (per 1%) −0.11 (−0.87; 0.65) n.s 0.16 (−1.72; 2.05) n.s 0.07 (−0.98; 1.12) n.s
Lymphedema in dominant arm (yes) 13.18 (7.62; 18.73) <0.001 8.76 (−5.67; 23.18) n.s 17.36 (9.62; 25.10) <0.001

Table 2 legend: This table shows the multivariate linear regression models for lymphedema volume, fat mass, and lean mass predictors. n.s = not significant.