Table 7 Linear regression analyses to assess the relationship between the independent variables and BMI, stratified by gender and race
Black menp ValueBlack womenp ValueWhite menp ValueWhite womenp Value
tttt
Block 1 — % variance explained3.69.76.15.2
Age0.30.752.10.04*4.30.001*5.20.001*
Education−2.10.04−2.50.01*−3.60.001*−3.80.004*
Income1.50.13−2.40.02*−2.70.007*−5.40.001*
Number in household1.90.063.70.001*3.80.001*2.30.02*
Number of vehicles in household−0.050.96−2.00.05*3.40.001*1.10.29
Two or more children in household−0.20.81−3.00.003*−1.60.10−1.30.18
Employment−0.70.46−2.00.05*−1.50.150.30.77
Block 2 — % variance explained0.80.00.40.0
Walkability of home−1.90.06−0.050.95−2.70.007*0.30.79
Block 3 — % variance explained1.60.40.00.9
Ate at fast food restaurant1.00.340.40.68−0.10.924.00.001*
Shopped at grocery store−2.50.01*−1.80.08−0.080.93−1.80.08
Block 4 — % variance explained0.61.90.81.0
Meeting guidelines for MVPA−1.5.14−3.40.001−2.50.01−4.4.001
Walked at least once over 2 days−0.60.52−0.60.58−2.80.005−1.10.27
Total variance explained6.612.07.37.1
  • *p<0.05 in final block.