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Table 2 Logistic regression: odds of 4+ days of parent-reported children’s neighborhood activity as predicted by parent-reported demographics and neighborhood characteristics

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

 

Univariate model

 

Full model

 

Final model

 

OR

P

OR

P

OR [95% CI]

P

Demographics (reference category)

      

Child race(White)

1.06

.75

1.19

.41

  

Child age

0.92

.09

0.91

.08

0.91 [0.82 – 1.01]

.08

Child sex (M)

0.73

.04

0.67

.01

0.68 [0.49 – 0.93]

.02

Hispanic (N)

0.81

.30

0.85

.48

  

Child’s BMI %

1.00

.69

1.00

.41

  

Household income < $50,000 (N)

0.76

.21

0.90

.70

0.87 [0.54 – 1.41]

.57

Household income $50-$100,000 (N)

0.87

.36

0.90

.56

0.91 [0.65 – 1.30]

.62

Neighborhood environment

      

Physical activity environment (GIS)

0.83

.23

0.79

.20

0.84 [0.60 – 1.16]

.29

Safety from crime

1.17

.17

0.90

.47

  

Traffic safety

1.77

<.001

1.46

.06

  

Street connectivity

0.82

.05

0.76

.02

0.77 [0.62 – 0.96]

.03

Neighborhood aesthetics

1.68

<.001

1.47

.01

1.57 [1.21 – 2.03]

<.01

Walk/cycle facilities

1.05

.60

0.99

.94

  

Proximity to stores

1.00

.96

0.94

.63

  

Proximity to play areas

1.19

.07

1.17

.29

  

Barriers to walking/biking: Logistics

0.68

<.01

0.85

.40

  

Barriers to walking/biking: Route

0.75

<.01

1.11

.55

  

Barriers to activity: Perceived lack of appropriate play areas

0.64

<.001

0.79

.12

0.74 [0.58 – 0.95]

.02

Barriers to activity: Crime

0.81

.04

1.10

.48

  

Constant

  

2.00

.54

4.35

.05

  1. N = 673, Seattle and San Diego, 2007–2009.
  2. Percent of cases correctly classified with this model: 63.5%.
  3. OR Odds ratio.
  4. GIS Geographic Information Systems data.