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. Author manuscript; available in PMC: 2021 Oct 1.
Published in final edited form as: Prev Med. 2020 Oct 6;141:106265. doi: 10.1016/j.ypmed.2020.106265

Table 3.

Unadjusted and adjusted logistic regression analyses of characteristics associated with park absence in 2016 National Survey of Children’s Health

Characteristic Total (n=49,146) Park absent (n=11,791) Park present (n=37,355) Unadjusted Analysisb Adjusted Analysisc
n (%) n (%)a n (%)a OR 95% CI OR 95% CI
Urbanicity
 Lives in MPC 8,611 17.5 1,273 14.8 7,338 85.2 Ref
 Live outside MPC 20,234 41.2 5,700 28.2 14,534 71.8 2.26 (2.11, 2.42)
 Missingb 20,391 41.5 4,818 23.6 15,483 75.9
Income below FPL 4,673 9.5 1,367 29.3 3,306 70.7 1.35 (1.26, 1.44) 1.48 (1.38, 1.58)
Race
 Non-Hispanic White 34,659 70.5 9,024 26.0 25,635 74.0 Ref Ref
 Non-Hispanic Black 2,770 5.6 624 22.5 2,146 77.5 0.83 (0.75, 0.91) 0.76 (0.70, 0.84)
 Hispanic 5,370 10.9 1,030 19.2 4,340 80.8 0.67 (0.63, 0.72) 0.64 (0.59, 0.69)
 Other 6,347 12.9 1,113 17.5 5,234 82.5 0.60 (0.56, 0.65) 0.59 (0.55, 0.64)

MPC=Metropolitan Principal City, FPL=Federal poverty level

a

Percents shown are row percents.

b

ORs calculated using logistic regression models, with park absent as the dependent variable.

c

Analyses adjusted for race or income.