Table 2.

Multivariable linear regression for interlimb volume difference outcome.

	Coefficient estimatea	Standard error	p
Race (black ref.)	−0.26	1.79	0.89
Body mass index	0.22	0.14	0.10
Age in years at study entry	0.18	0.12	0.13
Education: some college versus HS grad or less	−4.89	2.24	0.03
Education: college graduate versus high grad or less	−2.49	2.31	0.28
Retired	−0.88	2.41	0.72
Hours/week of paid outside work	−0.04	0.06	0.53
Number of people living in home	−0.76	0.66	0.25
Number of dependent children at home	1.34	1.99	0.50
Cancer stage at diagnosis	1.12	0.92	0.23
Years since cancer treatment	0.55	0.16	<0.001
Axillary lymph node dissection	4.75	1.89	0.01
Radiation therapy	0.04	2.37	0.99
Chemotherapy	−1.45	2.39	0.54
Hormone therapy	−0.44	1.69	0.79
Breast reconstruction	−0.23	1.89	0.91
>25% lymphedema care adherence	4.10	1.62	0.01

Italicized items in table represent statistically significant covariates at p < 0.05.

^aCoefficient estimates represent the change in interlimb difference percentage expected with a “yes” response for categorical variables or per unit change for continuous variables.