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Table 1 Changes in mean physical activity and healthy eating organizational practice scores over time for FAN components (policies, opportunities, pastor support, messages) and composite scores (N = 92 churches)

From: The Faith, Activity, and Nutrition (FAN) dissemination and implementation study: changes in and maintenance of organizational practices over 24 months in a statewide initiative

 

BL scores

12 M scores

24 M scores

Δ BL to 12 M

Δ BL to 24 M

Δ 12 M to 24 M

 

LSM

SD

SE

LSM

SE

LSM

SE

d

p

d

p

d

p

Physical activity

  Composite

1.45

0.47

0.06

2.11

0.06

1.87

0.07

1.40

 < .0001

0.88

 < .0001

-0.52

 < .01

  Policies

1.45

0.62

0.11

2.12

0.11

1.92

0.12

1.07

 < .0001

0.76

 < .01

-0.31

0.18

  Opportunities

1.80

0.72

0.07

2.42

0.08

2.23

0.08

0.86

 < .0001

0.59

 < .0001

-0.27

 < .05

  Pastor support

1.30

0.66

0.09

1.91

0.09

1.59

0.10

0.92

 < .0001

0.43

 < .01

-0.48

 < .01

  Messages

1.26

0.45

0.06

2.00

0.06

1.74

0.07

1.64

 < .0001

1.07

 < .0001

-0.57

 < .001

Healthy eating

  Composite

1.85

0.37

0.05

2.62

0.05

2.44

0.06

2.05

 < .0001

1.57

 < .0001

-0.49

 < .01

  Policies

1.46

0.66

0.11

2.53

0.11

2.39

0.12

1.60

 < .0001

1.39

 < .0001

-0.21

0.36

  Opportunities

3.40

0.52

0.05

3.73

0.05

3.77

0.06

0.64

 < .0001

0.72

 < .0001

0.09

0.51

  Pastor support

1.26

0.56

0.09

2.01

0.09

1.74

0.10

1.34

 < .0001

0.85

 < .0001

-0.48

 < .05

  Messages

1.27

0.46

0.06

2.22

0.06

1.86

0.07

2.05

 < .0001

1.26

 < .0001

-0.79

 < .0001

  1. Note: BL baseline, LSM least square mean, SD standard deviation, SE standard error, 12 M 12 months, 24 M 24 months, Δ change. Results are from a repeated measures analysis. The composite scores represent a mean of the four FAN component scores. The overall time effect was significant for each model (p < .0001) and is not shown in the table (only pairwise p values are shown). Possible scores for each area of implementation can range from 1 to 4, with 4 indicating greater implementation. Cohen's d was calculated as the difference between least square means divided by baseline standard deviation, with d,  0.2 considered a small effect, d, 0.5 a medium effect, and d, 0.8 a large effect