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Table 4 Adjusted influence of weight history indices on BMI gains during inpatient treatment. Results of the multiple linear regression analyses

From: Dimensions within 24 weight history indices and their association with inpatient treatment outcome in adults with anorexia nervosa: analysis of routine data

PredictorCor. R2B (SE), 95% CIT, pβ
Highest weight0.2650.004 (0.004), − 0.004; 0.0131.01, 0.3130.031
Lowest weight0.276−0.027 (0.008), − 0.042; − 0.013− 3.62, <  0.001− 0.112
Highest BMI0.2700.034 (0.013), 0.009; 0.0602.62, 0.0090.081
Lowest BMI0.270−0.065 (0.026), − 0.116; − 0.0142.52, 0.012−0.080
Highest BMI percentage0.2700.661 (0.262), 0.146; 1.1762.52, 0.0120.078
Lowest BMI percentage0.272−1.608 (0.569), −2.726; − 0.461− 2.83, 0.005− 0.090
WS0.2900.023 (0.004), 0.015; 0.0325.31, <  0.0010.164
WE0.278−0.044 (0.011), − 0.066; − 0.022−3.93, < 0.001− 0.121
BMI suppression0.2950.071 (0.012), 0.047; 0.0955.78, < 0.0010.178
BMI elevation0.288−0.159 (0.032), − 0.221; − 0.098−5.05, <  0.001−0.154
BMI suppression percentage0.2911.326 (0.247), 0.841; 1.8105.37, <  0.0010.165
BMI elevation percentage0.286−3.515 (0.723), −4.934; −2.095− 4.86, <  0.001−0.148
BMI oscillation0.2780.049 (0.013), 0.024; 0.0743.85, <  0.0010.119
PWC0.3132.860 (0.387), 2.100; 3.6197.39, <  0.0010.227
Residual 10.315−0.063 (0.008); − 0.079; − 0.046−7.59, < 0.001−0.233
Residual 20.2750.015 (0.004); 0.006, 0.0243.36, 0.0010.104
Residual 30.296−0.071 (0.012), − 0.095; − 0.048−5.89, <  0.001−0.180
Residual 40.2680.025 (0.012), 0.002; 0.0482.13, 0.0340.066
h-AFW0.2640.002 (0.002), −0.003; 0.0060.74, 0.4580.023
l-AFW0.280−0.023 (0.006), − 0.034; − 0.012−4.09, <  0.001−0.127
Age at highest weight0.2650.008 (0.008), −0.007; 0.0241.03, 0.3050.032
Age at lowest weight0.2650.006 (0.005), −0.005; 0.0161.02, 0.3090.031
Years since highest weight0.265−0.006 (0.006), − 0.018; 0.005−1.06, 0.291−0.033
Years since lowest weight0.267−0.014 (0.008), − 0.029; 0.001− 1.85, 0.065−0.057
  1. 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
  2. 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