TABLE 3.

Regression Results for Predicting Number of ED Visits

Change StatisticsANOVA
ModelR2R2 ChangeF ChangeSignificant F ChangeFP
1a0.1500.1503.8490.0063.8490.006
2b0.2370.0874.8380.0104.4050.001
3c0.3020.0651.0410.4102.6000.005
aPredictors: number of comorbidities, sex (female, 1; male, 0), minority status (minority,1; nonminority, 0), age.
bPredictors: 1 + doctor visits, hospital nights.
cPredictors: 2 + IPAQ sedentary minutes, IPAQ total METs, FAI domestic score, FAI leisure/work score, FAI outdoor score, CIQ-home score, CIQ-social score.
95% CI for B
ModelSignificant Predictor VariableBSELowerUpper
1Age–0.082***0.023–0.127–0.037
2Age–0.083***0.022–0.127–0.039
Hospital overnight stays0.046*0.0190.0060.198
3Age–0.071**0.024–0.119–0.023
Doctor visits0.131*0.066–0.0010.263
Hospital overnight stays0.043*0.0210.0020.084
CIQ-social score0.267*0.1300.0080.527
  • * P ≤0.05;

  • ** P ≤0.01;

  • *** P ≤0.001.