TABLE 5.

Regression Results for Predicting Number of Nights Spent in the Hospital

Change StatisticsANOVA
ModelR2R2 ChangeF ChangeSignificant
F Change
FP
1a0.1330.1332.8690.0292.8690.029
2b0.4080.27511.147<0.0017.082<0.001
3c0.5210.1141.6600.1184.288<0.001
aPredictors: number of comorbidities, sex (female, 1; male, 0), minority status (minority, 1; non-minority, 0), age.
bPredictors: 1 + doctor visits, ED visits, number of medications.
cPredictors: 2 + IPAQ sedentary minutes, IPAQ total METs, FAI domestic score, FAI leisure/work score, FAI outdoor score, CIQ-home score, CIQ-social score, DKT score.
95% CI for B
ModelSignificant Predictor VariableBSELowerUpper
1Age–0.053*0.024–0.102–0.005
Number of comorbidities0.276*0.14–0.0020.554
2ED visits0.839***0.1580.5241.154
3ED visits0.633***0.1780.2770.989
IPAQ sedentary minutes0.003**0.0010.0010.006
  • *P ≤0.05;

  • ** P ≤0.01;

  • *** P ≤0.001.