Table 2

Predicted change in utility from the linear regression, comparing individuals with and without any hospitalisation, for any-cause and disease-specific hospitalisations, by gender

MenWomen
Predicted additional change in utility95% CIPredicted additional change in utility95% CI
(A) Any-cause hospitalisation
Crude model−0.012(−0.028 to 0.005)−0.025(−0.044 to −0.006)
 Adjusted for age−0.009(−0.025 to 0.008)−0.020(−0.040 to −0.001)
 Adjusted for age and education−0.009(−0.026 to 0.008)−0.022(−0.041 to −0.002)
 Adjusted for age, education and utility at baseline (2006)−0.016(−0.032 to −0.001)−0.031(−0.049 to −0.014)
 Adjusted for age, education, utility at baseline (2006) and maximum number of hospitalisation events (max=9)0.006(−0.018 to 0.029)−0.038(−0.011 to 0.065)
 Adjusted for age, education, utility at baseline (2006), maximum number of hospitalisation events (max=9) and time (in days) since last hospitalisation−0.057(−0.111 to −0.002)−0.027(−0.081 to 0.026)
(B) Disease-specific hospitalisations
 Predicted change in utility if any hospitalisation is due to a hip fracture*−0.008(−0.016 to 0.000)−0.014(−0.023 to −0.005)
 Predicted change in utility if any hospitalisation is due to a myocardial infarction*−0.009(−0.016 to −0.001)−0.016(−0.025 to −0.008)
 Predicted change in utility if any hospitalisation is due to stroke*−0.008(−0.016 to 0.000)−0.015(−0.024 to −0.007)
 Predicted change in utility if any hospitalisation is due to CVD*−0.010(−0.019 to −0.001)−0.016(−0.026 to −0.007)
 Predicted change in utility if any hospitalisation is due to cancer*−0.008(−0.017 to 0.000)−0.016(−0.025 to −0.007)
  • *Adjusted for age, education and utility at baseline (2006).

  • CVD, cardiovascular disease.