# Table 4 Results of Linear Regression Model for Variables Predicting Children’s Previous-Day Physical Activity and Sedentary Behavior During the Early-COVID-19 period (April–May 2020)

Total MET-min Total Sitting min School Sitting min Leisure Sitting min
β p β p β p β p
(Constant) 46.580 < 0.001 14.047 < 0.0001 11.710 0.001 10.035 < 0.0001
Child Age −0.234 0.001 0.422 < 0.001 0.206 0.004 0.337 < 0.001
Child sex
Female (vs. Male) 0.010 0.893 0.148 0.027 −0.135 0.062 0.235 0.001
Child ethnicity
Hispanic (vs. non-Hispanic) −0.209 0.835 − 0.070 0.287 −0.104 0.142 − 0.024 0.722
Parent Work status
Full-time (vs. not Full-time) −0.030 0.682 −0.064 0.375 − 0.189 0.010 0.009 0.898
Parent marital status
Married (vs. not Married) −0.233 0.003 0.015 0.838 −0.060 0.440 0.083 0.261
Household Income
Less than \$24,999 −0.051 0.499 0.053 0.449 −0.016 0.838 0.070 0.332
\$25,000 - \$54,999 0.061 0.405 0.131 0.055 0.002 0.947 0.166 0.018
\$55,000 - \$94,999 −0.119 0.104 0.177 0.009 0.048 0.514 0.173 0.013
R2 0.131 0.001 0.252 < 0.001 0.131 0.001 0.218 < 0.001
1. n = 187. Linear regression analyses were conducted on square-root transformed data. β = unstandardized regression coefficient. R2 = percent of variance in the dependent variables that is explained by the combine defect of all the predictor variables in the model. MET-min = Metabolic equivalent of a specific activity x minutes spent doing that activity