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. 2016 Apr 21;3:373–378. doi: 10.1016/j.pmedr.2016.04.001

Table 4.

Logistic regression of parental perceived built environment measures and demographics on children meeting the 60-min/day PAGA recommendation.

Model A predictorsa Odds ratio 95% CI
p-Value
Lower Upper
There is a lot of litter on the streets (Agree)
 Disagree 3.43 0.989 11.87 0.052^
Child's age (Years) 1.06 0.831 1.35 0.636
Child's gender (Male)
 Female 0.323 0.150 0.696 0.004
Child's race (African American)
 Asian American 1.00 0.241 4.19 0.996
 White 1.70 0.656 4.42 0.274
 Other 1.20 0.127 1.72 0.126
Model B predictorsa Odds ratio 95% CI p-Value
Lower Upper
There is no play equipment for my child (Agree)
 Disagree 2.86 0.958 8.59 0.060
Child's Age (Years) 1.13 0.882 1.44 0.342
Child's Gender (Male)
 Female 0.375 0.175 0.807 0.012
Child's race (African American)
 Asian American 0.990 0.235 4.18 0.989
 White 1.40 0.527 3.70 0.501
 Other 0.681 0.148 1.42 0.090
Model C predictorsa Odds ratio 95% CI p-Value
Lower Upper
Closest bus or train stop (1–5 min)
 6–10 min 0.207 0.057 0.754 0.017
 Over 10 min 0.712 0.285 1.78 0.467
Child's age (Years) 1.12 0.877 1.43 0.361
Child's gender (Male)
 Female 0.363 0.168 0.787 0.010
Child's race (African American)
 Asian American 0.888 0.202 3.89 0.875
 White 1.89 0.672 5.33 0.227
 Other 1.07 0.211 5.37 0.939
Model D predictorsa Odds ratio 95% CI p-Value
Lower Upper
There is a lot of litter on the streets (Agree)
 Disagree 3.16 0.832 11.98 0.091
There is no play equipment for my child (Agree)
 Disagree 2.67 0.829 8.58 0.100
Closest bus or train stop (1–5 min)
 6–10 min 0.214 0.057 0.808 0.023
 Over 10 min 0.597 0.230 1.55 0.291
Child's age (Years) 1.10 0.851 1.43 0.456
Child's gender (Male)
 Female 0.348 0.154 0.784 0.011
Child's race (African American)
 Asian American 0.904 0.197 4.16 0.897
 White 1.72 0.579 5.11 0.328
 Other 1.32 0.241 7.22 0.749
^

Statistically significant (p-value = 0.05).

Statistically significant (p-value < 0.05).

a

Within each of the multivariable logistic regression models the odds ratios reported for each independent variable are adjusted as they account for the other variable in the model.