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. 2019 Jun 10;7:19. doi: 10.1186/s40337-019-0249-z

Table 4.

Adjusted influence of weight history indices on BMI gains during inpatient treatment. Results of the multiple linear regression analyses

Predictor Cor. R2 B (SE), 95% CI T, p β
Highest weight 0.265 0.004 (0.004), − 0.004; 0.013 1.01, 0.313 0.031
Lowest weight 0.276 −0.027 (0.008), − 0.042; − 0.013 − 3.62, <  0.001 − 0.112
Highest BMI 0.270 0.034 (0.013), 0.009; 0.060 2.62, 0.009 0.081
Lowest BMI 0.270 −0.065 (0.026), − 0.116; − 0.014 2.52, 0.012 −0.080
Highest BMI percentage 0.270 0.661 (0.262), 0.146; 1.176 2.52, 0.012 0.078
Lowest BMI percentage 0.272 −1.608 (0.569), −2.726; − 0.461 − 2.83, 0.005 − 0.090
WS 0.290 0.023 (0.004), 0.015; 0.032 5.31, <  0.001 0.164
WE 0.278 −0.044 (0.011), − 0.066; − 0.022 −3.93, < 0.001 − 0.121
BMI suppression 0.295 0.071 (0.012), 0.047; 0.095 5.78, < 0.001 0.178
BMI elevation 0.288 −0.159 (0.032), − 0.221; − 0.098 −5.05, <  0.001 −0.154
BMI suppression percentage 0.291 1.326 (0.247), 0.841; 1.810 5.37, <  0.001 0.165
BMI elevation percentage 0.286 −3.515 (0.723), −4.934; −2.095 − 4.86, <  0.001 −0.148
BMI oscillation 0.278 0.049 (0.013), 0.024; 0.074 3.85, <  0.001 0.119
PWC 0.313 2.860 (0.387), 2.100; 3.619 7.39, <  0.001 0.227
Residual 1 0.315 −0.063 (0.008); − 0.079; − 0.046 −7.59, < 0.001 −0.233
Residual 2 0.275 0.015 (0.004); 0.006, 0.024 3.36, 0.001 0.104
Residual 3 0.296 −0.071 (0.012), − 0.095; − 0.048 −5.89, <  0.001 −0.180
Residual 4 0.268 0.025 (0.012), 0.002; 0.048 2.13, 0.034 0.066
h-AFW 0.264 0.002 (0.002), −0.003; 0.006 0.74, 0.458 0.023
l-AFW 0.280 −0.023 (0.006), − 0.034; − 0.012 −4.09, <  0.001 −0.127
Age at highest weight 0.265 0.008 (0.008), −0.007; 0.024 1.03, 0.305 0.032
Age at lowest weight 0.265 0.006 (0.005), −0.005; 0.016 1.02, 0.309 0.031
Years since highest weight 0.265 −0.006 (0.006), − 0.018; 0.005 −1.06, 0.291 −0.033
Years since lowest weight 0.267 −0.014 (0.008), − 0.029; 0.001 − 1.85, 0.065 −0.057

Note. Regression coefficients are adjusted for length of stay. Corrected R2 = 0.265 for the regression model with only length of stay as predictor. Three best predictors based on β in boldface

BMI body mass index, WS weight suppression, WE weight elevation, PWC percentage weight change, Residual 1 highest on admission weight, Residual 2 admission on highest weight, Residual 3 lowest on admission weight, Residual 4 admission on lowest weight, h-AFW highest age-factored weight, l-AFW lowest age-factored weight