Table 5: Multiple linear regression models to predict six-year weight change in young women from the Australian longitudinal study on women’s health.

Predictor:
diet quality index
Model*Tertile
(versus Tertile 1)
Total sample:
Δweight (kg) 
coefficient (95% CI)
valueValid TEI subsample
Δweight (kg) 
coefficient (95% CI)
value

ARFSCrude2−0.32 (−0.99, 0.28)0.29−0.60 (−1.7, 0.46)0.27
3−0.69 (−1.3, 0.08)0.03−1.14 (−2.16, −0.12)0.03
Adjusted2−0.16 (−0.79, 0.47)0.63−0.93 (−1.96, 0.09)0.07
3−0.34 (−0.97, 0.30)0.29 −1.59 (−2.63, −0.53)0.003
Final2−0.18 (−0.81, 0.46)0.58 −0.95 (−2.0, 0.7)0.07
3−0.38 (−1.03, 0.27)0.25 −1.6 (−2.67, −0.56)0.003

Aus-DQICrude2−0.05 (−0.71, 0.60)0.876 −0.68 (−1.79, 0.42)0.2
3−0.51 (−1.14, 0.12)0.112 −0.10 (−1.12, 0.92)0.8
Adjusted2−0.04 (−0.71, 0.63)0.905 −0.80 (−1.93, 0.31)0.2
3−0.60 (−1.25, 0.06)0.073 −0.46 (−1.52, 0.61)0.4
Final2−0.05 (−0.73, 0.63)0.885 −0.81 (−1.95, 0.33)0.2
3−0.62 (−1.32, 0.07)0.078 −0.45 (1.53, 0.62) 0.4

FAVICrude2−0.96 (−1.62, −0.31)0.004 −1.60 (−2.67, −0.54)0.003
3−1.09 (−1.75, −0.44)0.001 −1.61 (−2.62, −0.58)0.002
Adjusted2−0.61 (−1.28, 0.07)0.079 −1.4 (−2.53, −0.43)0.006
3−0.68 (−1.36, 0.00)0.051 −1.5 (−2.59, −0.42)0.006
Final2−0.63 (−1.30, 0.05)0.070 −1.5 (−2.4, −0.2)0.02
3−0.72 (−1.42, −0.03)0.041 −1.6 (−2.4, −0.3)0.01

Crude model: unadjusted, Δweight: dependent variable, diet quality index: independent variable; adjusted model: adjusted for physical activity, education, number of births, area of residence, marital status, smoking, and weight at baseline; final model: the adjusted model plus total energy intake. Bold if value < 0.05.