Table 4.
Change in anthropometric measures from baseline to 6 months among a cohort of 70 Hispanic breast cancer survivors participating in a randomized, controlled dietary intervention trial
| Baseline
|
6 months
|
||||||||
|---|---|---|---|---|---|---|---|---|---|
| n | Adjusted Mean (SE)a | Adjusted P-valueb | n | Adjusted Mean (SE)a | Change from baseline
|
Percent change from baseline
|
|||
| Adjusted Mean (SE)a,c | Adjusted P-valueb | Adjusted Mean (SE)a,c | Adjusted P-valueb | ||||||
| Weight (kg) | 0.25 | 0.22 | 0.22 | ||||||
| Intervention | 32 | 74 (2.7) | 28 | 74.3 (3.7) | −2.2 (2.6) | −2.5% (3.6) | |||
| Control | 35 | 78.4 (2.6) | 27 | 81.3 (3.8) | 2.3 (2.6) | 3.8% (3.6) | |||
| BMI (kg/m2) | 0.45 | 0.19 | 0.20 | ||||||
| Intervention | 30 | 30.1 (1) | 27 | 29.1 (1.5) | −1.1 (1.2) | −3.1% (3.8) | |||
| Control | 35 | 31.1 (0.9) | 26 | 33.2 (1.4) | 1 (1.1) | 3.8 % (3.7) | |||
| Waist circumference (cm) | 0.18 | 0.05 | 0.06 | ||||||
| Intervention | 31 | 93.1 (2.4) | 25 | 94.9 (2.6) | −1.6 (1.2) | −1.3% (1.2) | |||
| Control | 34 | 97.5 (2.3) | 25 | 98.8 (2.6) | 1.7 (1.2) | 2.1% (1.2) | |||
| Hip circumference (cm) | 0.09 | 0.72 | 0.91 | ||||||
| Intervention | 31 | 106.6 (2.5) | 25 | 109.2 (2.8) | −0.3 (1.9) | −0.2% (1.3) | |||
| Control | 34 | 112.5 (2.4) | 25 | 112.4 (2.8) | −1.2 (1.9) | −0.4% (1.3) | |||
| Waist/hip ratio | 0.92 | 0.22 | 0.19 | ||||||
| Intervention | 31 | 0.9 (0.0) | 25 | 0.9 (0.0) | 0.0 (0.0) | −0.9% (2.3) | |||
| Control | 34 | 0.9 (0.0) | 25 | 0.9 (0.0) | 0.0 (0.0) | 3.4% (2.3) | |||
Estimated marginal means adjusted for menopausal status and hormone replacement therapy use.
P-values calculated from linear regression models for the mean change from baseline comparing intervention and control groups, adjusted for menopausal status and hormone replacement therapy use.
The changes from baseline to 3 and 6 months do not match the difference of the adjusted means for two reasons: 1) in some of the comparisons there are differences in the number of participants included, and 2) the regression model used to assess the differences between groups uses a calculated difference for each participant and thus the mean differences will be slightly different than the differences between the group means.