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Table 3 Two-way table of predicted means (SEM) for the Australian Recommended Food Score categories by treatment condition and time (Intention To Treat analysis, ITT). Differences (p-value) over time and between treatments are shown in the table margins

From: The effect of a diabetes prevention program on dietary quality in women with previous gestational diabetes

ARFS categories

Control#

(n = 228)

Intervention#

(n = 205)

Difference

Effect size§

Fruit (p = 0.66) a

 Baseline

5.39 (0.19)

5.79 (0.19)

0.40 (0.14)

 12 Months

5.75 (0.21)

6.03 (0.21)

0.28 (0.35)

0.12 (−0.7, 0.31)

 Differential change

0.36 (0.057)

0.255 (0.22)

−0.12 (− 0.66, 0.42)

− 0.06 (− 0.25, 0.13)

Vegetables (p = 0.44) a

 

 Baseline

13.63 (0.26)

13.38 (0.26)

0.25 (0.50)

 12 Months

13.56 (0.28)

13.58 (0.29)

0.02 (0.96)

0.03 (−0.16, 0.22)

 Differential change

−0.07 (0.77)

0.20 (0.42)

0.27 (−0.41, 0.94)

0.05 (−0.13, 0.25)

Grains (p = 0.72) a

 Baseline

4.18 (0.10)

4.28 (0.10)

0.11 (0.46)

 12 Months

3.78 (0.11)

3.82 (0.12)

0.04 (0.79)

0.06 (−0.13, 0.25)

 Differential change

−0.4 (<  0.01) *

− 0.47 (< 0.01) *

− 0.06 (− 0.40, 0.27)

−0.07 (− 0.27, 0.11)

Protein

 Meat, Poultry and Eggs (p = 0.84) a

  Baseline

2.63 (0.09)

2.59 (0.09)

−0.04 (0.75)

  12 Months

2.62 (0.09)

2.56 (0.10)

−0.07 (0.63)

0.01 (−0.18, 0.20)

  Differential change

0.00 (0.97)

−0.03 (0.75)

−0.03 (− 0.28, 0.23)

−0.04 (− 0.24, 0.14)

 Nuts and Legumes (p = 0.04) a, *

  Baseline

1.73 (0.08)

1.82 (0.08)

0.09 (0.40)

  12 Months

1.75 (0.08)

1.61 (0.09)

−0.14 (0.24)

− 0.13 (− 0.32, 0.06)

  Differential change

0.03 (0.72)

−0.20 (0.01) *

− 0.23 (− 0.45, − 0.01)

−0.19 (− 0.38, 0.00)

 Fish (p = 0.511) a

  Baseline

0.41 (0.03)

0.35 (0.03)

−0.07 (0.10)

  12 Months

0.40 (0.03)

0.37 (0.03)

−0.03 (0.50)

−0.02 (− 0.21, 0.17)

  Differential change

− 0.01 (0.77)

0.02 (0.53)

0.08 (− 0.6, 0.21)

0.10 (− 0.09, 0.29)

 Total protein (p = 0.38) a

  Baseline

5.23 (0.13)

5.22 (0.13)

−0.02 (0.93)

  12 Months

5.22 (0.44)

5.03 (0.15)

−0.19 (0.34)

−0.07 (− 0.27, 0.11)

  Differential change

− 0.01 (0.94)

−0.19 (0.19)

− 0.18 (− 0.57, 0.22)

−0.10 (− 0.29, 0.09)

 Dairy (p = 0.06) a

  Baseline

2.81 (0.07)

2.83 (0.07)

0.01 (0.87)

  12 Months

2.81 (0.07)

3.02 (0.08)

0.22 (0.04) *

0.25 (−0.44, 0.05)

  Differential change

− 0.01 (0.93)

0.19 (< 0.01) *

0.20 (− 0.00, 0.41)

0.14 (− 0.06, 0.33)

 Total Score (p = 0.94) a

  Baseline

31.72 (0.52)

31.98 (0.52)

0.26 (0.73)

  12 Months

31.89 (0.57)

32.10 (0.58)

0.21 (0.80)

0.08 (−0.11, 0.28)

  Differential change

0.17 (0.72)

0.12 (0.80)

−0.05 (−1.40, 1.29)

− 0.04 (− 0.23, 0.16)

Alcohol (p = 0.86) a

 Baseline

33 (11.5)

30 (10.7)

−0.02 (CI:-0.15, 0.11)

 12 Months

24 (10.9)

20 (9.9)*

−0.03 (CI:-0.18, 0.13)

0.68 (0.46, 0.99)

 Differential change

−0.01 (0.14)

−0.02 (0.15)

0.94 (CI:0.48, 1.85)$

Fats (p = 0.12) a

 Baseline

102 (35.5)

104 (37.0)

0.02 (CI:-0.07, 0.10)

 12 Months

83 (37.6)

96 (47.1)

0.10 (CI:0.00, 0,19)

1.11 (0.60, 2.09)

 Differential change

0.02 (0.09)

0.10 (0.10)

1.41 (CI:0.92, 2.15)$

  1. a p-value for the F-test of Time by Treatment interaction
  2. *Significant p-value (p ≤ 0.05)
  3. # Mean (SD) for continuous scores, and number (percent) for dichotomised scores
  4. §Cohen’s D effect size (95% CI) for continuous scores, and OR (95% CI) for dichotomised scores
  5. Between-group (intervention versus placebo) differential change from baseline was estimated from the two-way interaction between intervention allocation and measurement time from (generalised) linear mixed model
  6. $ Odds ratio for comparing between-group (intervention vs placebo) change from baseline estimated from generalised linear mixed model’s two-way interaction between intervention allocation and measurement time