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Table 5 Linear regression: pediction of accelerometry-based minutes of MVPA per day from parent-reported demographics and neighborhood environment

From: Children’s physical activity and parents’ perception of the neighborhood environment: neighborhood impact on kids study

Model

Univariate models for 3 MET cut point

Full model for 3 MET cut point

Final model for 3+ METs

Final model using Evenson cut points

 

B

B

B [95% CI]

B [95% CI]

Demographics

    

Child Race (White)

-3.25

1.39

  

Child Age

-22.38**

-22.60**

-22.44** [-24.24 – -20.64]

-2.57** [-3.51 – -1.63]

Child Sex (F)

-29.40**

-26.80**

-25.64** [-31.26 – -20.01]

-14.23** [-17.19 – -11.27]

Hispanic (Y)

-5.34

-0.93

  

Child’s BMI percentile

0.03

-0.06

 

-0.08* [-0.13 – -0.03]

Household income < $50,000 (Y)

-8.73

-6.64

 

-4.97* [-9.49 – -0.45]

Household income $50-100,000 (Y)

-3.60

-3.09

 

-4.24* [-7.44 – -1.04]

Neighborhood Environment

    

Physical activity environment (GIS)

2.94

3.52

  

Safety against crime

-0.11

3.70

  

Street connectivity

0.13

-0.74

  

Neighborhood aesthetics

0.11

0.64

  

Traffic safety

1.93

-1.38

  

Walk/cycle facilities

-2.43

-1.29

  

Proximity to stores

2.74

1.33

  

Proximity to play areas

3.54

2.25

4.12* [0.66 – 7.58]

2.12* [0.30 – 3.95]

Barriers to walking/cycling: logistics

-2.17

-2.10

  

Barriers to walking/cycling: route factors

-1.08

2.55

  

Barriers to activity: perceived lack of appropriate play areas

-5.35

-3.15

  

Barriers to activity: crime

-1.27

2.85

  

Constant

 

357.08**

353.85 [334.88 – 372.83]

79.07 [68.22 – 89.93]

  1. All values expressed as unstandardized B.
  2. GIS = Geographic Information Systems data.
  3. * P < .05.
  4. ** P < .01.
  5. (N = 711).