. Author manuscript; available in PMC: 2023 Jul 1.

Published in final edited form as: Am J Prev Med. 2022 Jul;63(1 Suppl 1):S67–S74. doi: 10.1016/j.amepre.2022.01.031

Table 2.

Regression Models Predicting Total Percent Weight Loss and Percent Weight Loss During Treatment

Variable	Estimate	SE	(95% CI)

DV: Total weight loss^a
Intercept	0.16	1.25	(−2.32, 2.64)
Lost weight pre-treatment^c	−2.63	0.79	(−4.20, −1.06) ^***
Gained weight pre-treatment^c	1.91	0.63	(0.66, 3.17) ^***
Race (Black)^d	1.01	0.56	(−0.10, 2.13)
Treatment session attendance	−0.53	0.09	(−0.72, −0.35) ^****
DV: During-treatment weight loss^b
Intercept	−0.24	1.22	(−2.65, 2.17)
Lost weight pre-treatment^c	−0.50	0.77	(−2.03, 1.03)
Gained weight pre-treatment^c	−0.06	0.62	(−1.28, 1.16)
Race (Black)^d	1.13	0.55	(0.05, 2.22) ^*
Treatment session attendance	−0.51	0.09	(−0.69, −0.33) ^****

Notes: Boldface indicates statistical significance (*p<0.05; **p<0.01; ***p<0.005; ****p<0.0001).

Percent weight loss from baseline to month 4.

Percent weight loss from treatment initiation to month 4.

Pre-treatment weight change category was coded such that the weight stable group was the reference category.

Race was coded such that White was the reference category.

DV, dependent variable.