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Table 4 Summary of multiple longitudinal regression analysis, Missouri HSHC 2013–2017

From: Association between multi-component initiatives and physical activity-related behaviors: interim findings from the Healthy Schools Healthy Communities initiative

Model 1: Number of days per week physically active 60 + minutes

 

β

SE

99% CI

p-valuea

Constant

4.437

0.11

4.295 to 4.670

< 0.0001

Average MCI Intensity Score

0.010

0.00

0.003 to 0.017

0.004

Baseline (ref)

 1 year

0.257

0.13

−0.009 to 0.522

0.058

 2 years

−0.040

0.16

−0.367 to 0.286

ns

 3 years

0.039

0.20

−0.355 to 0.432

ns

 4 years

0.035

0.23

−0.421 to 0.491

ns

Cohort 1 (ref).

 Cohort 2

0.342

0.11

0.125 to 0.559

0.003

 Cohort 3

0.050

0.13

−0.214 to 0.314

ns

 Enrollment size

−0.015

0.00

−0.025 to − 0.006

0.002

Model 2: Number of screen time hours per weekday

 

β

SE

99% CI

p-valuea

Constant

2.420

0.08

2.256 to 2.583

< 0.0001

Average MCI Intensity Score

−0.006

0.00

−0.011 to − 0.001

0.016

Baseline (ref).

 1 year

0.123

0.09

−0.065 to 0.310

ns

 2 years

0.308

0.12

0.078 to 0.539

0.009

 3 years

0.339

0.14

0.061 to 0.618

0.018

 4 years

0.394

0.16

0.071 to 0.716

0.017

Cohort 1 (ref).

 Cohort 2

−0.108

0.07

−0.261 to 0.044

ns

 Cohort 3

−0.135

0.09

−0.321 to 0.051

ns

 Enrollment size

0.006

0.00

−0.001 to 0.012

0.080

Model 3: Number of screen time hours per weekend day

 

β

SE

99% CI

p-valuea

Constant

3.131

0.07

2.993 to 3.269

< 0.0001

Average MCI Intensity Score

−0.003

0.00

−0.007 to 0.001

0.098

Baseline (ref).

 1 year

−0.060

0.08

−0.218 to 0.098

ns

 2 years

0.033

0.10

−0.161 to 0.227

ns

 3 years

0.049

0.12

−0.186 to 0.283

ns

 4 years

0.113

0.14

−0.159 to 0.385

ns

Cohort 1 (ref)

 Cohort 2

−0.079

0.06

−0.208 to 0.050

ns

 Cohort 3

0.173

0.08

−0.330 to − 0.017

0.031

 Enrollment size

0.007

0.00

0.001 to 0.012

0.022

  1. ap-values for the differences in grant time (fixed effects) least squares means were adjusted for multiple comparisons using the Bonferroni correction. All analyses conducted in SAS 9.4 (SAS Institute, Inc. Cary, NC)