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Table 3 Logistic regression: odds of 2+ days of parent-reported children’s park activity as explained by parent-reported demographics and neighborhood environment

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)

      

Race (White)

0.88

.50

0.89

.59

  

Age

0.99

.79

0.97

.61

  

Sex (M)

1.05

.73

0.94

.71

  

Hispanic (N)

1.49

.05

1.57

.06

1.56 [0.99 – 2.45]

.05

Child’s BMI percentile

1.00

.15

1.00

.20

  

Household income < $50,000 (N)

1.14

.55

1.30

.34

1.17 [0.70 – 1.98]

.55

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

1.08

.64

1.21

.30

1.16 [0.82 – 1.65]

.41

Neighborhood environment

      

Physical activity environment (GIS)

1.34

.05

1.08

.66

1.09 [0.78 – 1.53]

.61

Safety against crime

1.35

.01

1.23

.14

1.30 [1.00 – 1.67]

.05

Street connectivity

1.08

.42

0.91

.43

  

Neighborhood aesthetics

1.82

<.001

1.39

.02

1.38 [1.06 – 1.80]

.02

Traffic safety

1.87

<.001

0.93

.72

  

Walk and cycle facilities

1.59

<.001

1.49

<.001

1.40 [1.16 – 1.71]

.001

Proximity to stores

1.31

.001

1.01

.94

  

Proximity to play areas

1.55

<.001

1.24

.13

1.22 [0.98 – 1.53]

.07

Barriers to walking/ cycling: logistics

0.65

.002

0.84

.36

  

Barriers to walking/ cycling: route

0.59

<.001

1.08

.67

  

Barriers to activity: perceived lack of appropriate play areas

0.58

<.001

0.80

.15

.74 [0.57 – 0.96]

.03

Barriers to activity: crime

0.73

.003

0.86

.25

  

Constant

  

0.31

.31

.09

.002

  1. N = 676, 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.