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. 2019 Jun 7;149(10):1742–1748. doi: 10.1093/jn/nxz117

TABLE 4.

Final model including the regression coefficients identified by the LASSO and added main effects on the full sample of adults with overweight or obesity who provided complete dietary recalls1

Variable Estimate SE P > |t| Partial R2 99% CI for parameter estimates
Intercept −1.37 16.1 0.93 −43.8 41.1
Adherence2 1.18 3.63 0.74 0.001 −8.36 10.7
Age, y 0.24 0.18 0.19 0.020 −0.24 0.73
Baseline weight, kg −0.14 0.15 0.36 0.010 −0.55 0.27
Carbohydrate,3 g/d 0.03 0.03 0.45 0.007 −0.06 0.11
Energy density,3 kcal/g food −9.6 10.8 0.38 0.009 −37.9 18.8
Fat,3 g/d −0.01 0.08 0.88 0.000 −0.21 0.19
Fiber,3 g/d −0.37 0.09 < 0.0001 0.170 −0.60 −0.14
PUFAs,3 g/d 0.05 0.12 0.70 0.002 −0.27 0.37
MUFAs,3 g/d 0.26 0.21 0.22 0.017 −0.30 0.83
Race4 13.0 16.9 0.44 0.007 −31.4 57.3
Race4 × adherence2 −3.62 3.82 0.35 0.010 −13.8 6.43
Race4 × age −0.44 0.19 0.03 0.056 −0.95 0.07
Race4 × baseline weight 0.07 0.16 0.66 0.002 −0.35 0.49
Race4 × carbohydrate3 −0.01 0.03 0.85 0.000 −0.10 0.08
Race4 × energy density3 13.0 10.9 0.24 0.016 −15.8 41.8
Race4 × MUFAs3 −0.39 0.17 0.03 0.055 −0.84 0.07
R 2 0.410
Adjusted R2 0.301
1

The parameter estimates shown were chosen from the model selection process and calculated using the ordinary least squares solution for the full data set (n = 345).

2

Adherence is a binary variable (1 = achieved macronutrient goals; 0 = otherwise).

3

Variables are represented as change in grams from baseline.

4

Race is a binary variable (1 = white; 0 = nonwhite).