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. Author manuscript; available in PMC: 2024 Mar 1.
Published in final edited form as: Am J Prev Med. 2022 Dec 15;64(3):326–333. doi: 10.1016/j.amepre.2022.10.012

Table 3.

Negative Binomial Models Showing the Moderation Effect Between Poverty and Playground Typesa

Model predicting visitors, n Model predicting MVPA
Contextual variables Estimate SE Difference
associated
with factor,
%
Estimate SE Difference
associated
with factor,
%
Innovativeb −0.04 0.20 −3.92% 0.01 0.21 1.01%
Traditional
Not a “destination” location −0.71 **** 0.14 −50.84% 0.72 **** 0.14 −51.32%
Destination location 0.00 0.00 0.00%
Population in ½ mile radius (10,000) 0.49 **** 0.08 63.23% 0.40 **** 0.08 49.18%
Playground size (1,000 sq ft) 0.01 **** 0.00 1.01% 0.01 **** 0.00 1.01%
% families in poverty −0.07 **** 0.01 −6.76% 0.06 **** 0.01 −5.82%
Interaction of innovative parks and poverty 0.04 ** 0.01 4.08% 0.04 ** 0.01 4.08%
Interaction of traditional parks and poverty
Weekend days 0.01 0.22 1.01% 0.03 0.26 3.05%
Weekdays
Number of unique play elements 0.06 0.03 6.18% 0.05 0.03 5.13%
Number of surface types 0.04 0.04 4.08% 0.05 0.04 5.13%

Notes: Boldface indicates statistical significance (*p<0.05; **p<0.01; ***p0.001; ****p<0.0001).

a

For simplicity, the parameter estimates of intercept, city, and time of day are not reported in the results.

b

Refers to innovative playgrounds where % families in poverty is zero.

MVPA, moderate to vigorous physical activity.