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Table 3 Estimates of linear mixed model over 20 days for flossing and flossing Intentions as a function of intervention (N =112)

From: Combining self-management cues with incentives to promote interdental cleaning among Indian periodontal disease outpatients

Model parameters for flossing

   

95 % CI

Fixed effects (intercept, slopes)

Estimate (SE)

t

p

Lower Bound

Upper Bound

 Intercept

1.02 (0.13)

8.04

<0.01

0.08

1.27

 Group

0.87 (0.18)

4.84

<0.01

0.52

1.23

 Time

−0.02 (0.13)

−0.14

0.89

−0.27

0.24

 Group x Time

−0.76 (0.18)

−4.15

<0.01

−1.13

−0.40

Estimates of covariance parameters for flossing

 

Wald’s z

   

 Repeated Measures Var1

0.04 (0.13)

0.28

0.78

0.00

38.06

 Repeated measures Var2

0.35 (0.14)

2.56

0.01

0.17

0.76

 Intercept + time (subjects)

0.28 (0.08)

3.71

<0.01

0.16

0.47

Model parameters for intentions

   

95 % CI

Fixed effects (intercept, slopes)

Estimate (SE)

t

p

Lower Bound

Upper Bound

 Intercept

1.12 (0.16)

7.09

<0.01

0.80

1.43

 Group

1.04 (0.22)

4.70

<0.01

0.60

1.47

 Time

−0.38 (0.18)

−2.19

0.03

−0.73

−0.04

 Gender

0.77 (0.26)

2.98

0.003

0.26

1.28

 Group x Time

−0.56 (0.23)

−2.44

0.02

−1.02

−0.11

 Group x Gender

−0.93 (0.28)

−3.37

<0.01

−1.48

−0.38

 Time x Gender

0.06 (0.25)

0.23

0.82

−0.43

0.54

Estimates of covariance parameters for intentions

 

Wald’s z

   

 Repeated Measures Var1

0.36 (0.17)

2.16

0.03

0.15

0.90

 Repeated measures Var2

0.84 (0.20)

4.28

<0.01

0.53

1.33

 Intercept + time (subjects)

0.14 (0.08)

1.68

0.09

0.04

0.44

  1. All p values are two-tailed except in the case of variances, where one-tailed p-values are used (because variances are constrained to be non-negative). Time is coded 0 = baseline, 1 = follow-up. Group is coded 0 for the control group and 1 for the treatment group