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. 2020 Jul 8;17(14):4937. doi: 10.3390/ijerph17144937

Table A4.

Intercorrelations Between County-Level, Family-Level, and Individual-Level Variables Used in the Regression Analyses.

Variables Walking Alone First Sentences Count 10 Objects Independent Toileting Gender Birth Year Minority Low Birth Weight Preterm Birth Hukou Before Age 3 Maternal Age at Delivery Maternal Education County-Level GDP Per Capita Country-Level Urban Population %
Walking alone 1.000
First sentences 0.405 1.000
Count 10 objects 0.277 0.362 1.000
Independent toileting 0.237 0.329 0.456 1.000
Gender −0.005 −0.048 −0.035 −0.028 1.000
Birth year −0.167 −0.102 −0.261 −0.259 −0.014 1.000
Minority 0.076 −0.025 0.040 −0.031 −0.003 0.013 1.000
Low birth weight 0.173 0.100 0.248 0.146 0.014 −0.295 0.105 1.000
Preterm birth 0.017 −0.003 −0.014 −0.011 0.003 0.038 0.000 −0.026 1.000
Hukou before age 3 −0.098 −0.067 −0.199 −0.071 0.001 0.015 −0.086 −0.132 0.005 1.000
Maternal age at delivery −0.004 0.019 0.008 0.002 −0.031 0.017 −0.017 0.006 0.020 0.067 1.000
Maternal education −0.201 −0.139 −0.301 −0.155 0.017 0.240 −0.194 −0.278 0.011 0.436 −0.058 1.000
County-level GDP per capita −0.153 −0.065 −0.215 −0.040 0.015 0.023 −0.209 −0.228 0.003 0.343 0.072 0.398 1.000
Country-level Urban population % −0.082 −0.036 −0.173 −0.057 0.013 −0.023 −0.137 −0.141 0.011 0.509 0.053 0.330 0.505 1.000

Notes. Variable 1–10 are individual-level variables, from 11–12, family-level variables, and from 13–14, county-level variables.