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Table 2 Regression coefficients for behavioural outcomes

From: Munch and Move: evaluation of a preschool healthy eating and movement skill program

Outcome

Baseline

Follow-up

Difference at follow up1

 

Intervention

(n = 207)

Control

(n = 127)

Intervention

(n = 213)

Control

(n = 134)

Adjusted I-C difference (95%CI)2

P value

Fundamental movement skills (mean scores SD)

    

Locomotor score

23.1 (6.9)

21.3 (6.5)

25.2 (6.6)

22.1 (6.6)

3.41 (0.77, 6.05)

0.01

Object control score

20.0 (6.3)

19.0 (5.7)

22.8 (5.4)

20.7 (5.7)

2.07 (0.76, 3.41)

0.003

Total FMS score

43.3 (10.5)

40.5 (9.1)

48.0 (9.9)

42.8 (9.9)

5.33 (1.95, 8.71)

0.003

Lunchbox items (mean serves SD)

(n = 168)

(n = 91)

(n = 137)

(n = 71)

  

Fruit serves

1.0 (0.9)

1.0 (0.8)

0.9 (1.0)

1.0 (0.9)

-0.05 (-0.36, 0.26)

0.75

Vegetables serves

0.03 (0.2)

0.12 (0.4)

0.14 (0.5)

0.15 (0.5)

0.12 (-0.05, 0.30)

0.16

Snack serves

1.35 (1.3)

0.83 (1.1)

1.40 (1.4)

0.94 (1.2)

0.06 (-0.34, 0.46)

0.75

Sweetened drink serves3

0.49 (0.7)

0.55 (0.6)

0.41 (0.5)

0.52 (0.5)

-0.13 (-0.27, 0.002)

0.05

Total extra food/drink serves

1.78 (1.5)

1.31 (1.3)

1.77 (1.5)

1.42 (1.4)

-0.6 (-0.45, 0.33)

0.76

Lunch boxes containing > 1 serve of extra food/drink (%)

  

Odds ratio (95% CI) 4

P value

Extra foods > 1 serve (%)

49.4

29.7

51.4

37.5

0.90 (0.48, 1.70)

0.74

Extra drinks > 1 serve (%)

11.9

14.3

6.8

9.1

0.52 (0.12, 2.19)

0.53

Extra food/drink > 1 serve (%)

61.9

50.5

62.8

48.9

0.86 (0.43, 1.74)

0.67

Lunchbox categories (%)

      

Balanced (%)

29.8

39.5

29.1

39.8

0.85 (0.32, 2.25)

0.72

Overloaded with extras (%)

39.2

34.1

34.5

36.4

0.74 (0.33, 1.65)

0.72

Unbalanced (%)

31.1

26.4

36.5

23.9

1.18 (0.44, 3.14)

0.72

  1. 1 The models for the differences between intervention and control groups were adjusted for baseline values, sex, SES, English-speaking background and clustering of preschools; 2GLM; 3Sweetened drinks = 100% fruit juice, fruit juice, soft drinks and colored drinks; 4Logistic regression models.