Skip to main content
. 2010 Dec 10;16(4):239–246. doi: 10.1007/s12199-010-0192-8

Table 4.

Intervention effects on ∆sales of vegetables and fruits

Early intervention Late intervention
Estimates 95% CI Estimates 95% CI
Vegetables
 Total 10.2 −7.2 to 27.7 19.6 2.2 to 37.1*
  Adjusted 9.8 −7.3 to 27.0 18.7 1.6 to 35.9*
 Green leafy 16.7 −3.9 to 37.3 20.2 −0.3 to 40.8
  Adjusted 16.6 −3.8 to 37.1 18.6 −1.8 to 39.0
 Leafy 12.8 −8.7 to 34.2 21.4 −0.1 to 42.8
  Adjusted 12.8 −8.5 to 34.1 21.4 0.1 to 42.7*
 Fruit and flower −16.1 −39.4 to 7.3 34.1 10.7 to 57.4
  Adjusted −16.5 −39.6 to 6.7 33.0 9.9 to 56.2
 Root 9.1 −16.9 to 35.2 3.4 −22.6 to 29.4
  Adjusted 8.6 −16.9 to 34.0 2.4 −23.1 to 27.8
 Juice 30.3 −20.8 to 81.5 38.0 −13.2 to 89.1
  Adjusted 28.9 −21.9 to 79.6 36.4 −14.4 to 87.1
 Other 15.5 −1.9 to 32.9 4.4 −13.0 to 21.7
  Adjusted 14.4 −2.7 to 31.5 3.0 −14.2 to 20.1
Fruits −10.7 −28.9 to 7.4 0.1 −18.1 to 18.2
  Adjusted −11.4 −28.9 to 6.1 −0.7 −18.2 to 16.9

The interaction estimate between the intervention status and study periods on ∆sales in a linear regression model was assessed as an intervention effect. The estimate for each intervention period is equal to (mean ∆sales in the given intervention stage − mean ∆sales in the pre-intervention stages at store I) − (mean ∆sales in the given intervention stage − mean ∆sales in the pre-intervention stage at store C), which can be calculated from values in Table 3. *P < 0.05, P < 0.01

Adjusted estimates were calculated based on adjusted sales in 2007, which are described in Table 3