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. 2022 Jul 21;19(14):8867. doi: 10.3390/ijerph19148867

Table 9.

Logarithmic binary regression model for the hospitalisation risk factor.

B SE Wald Df Sig Exp(B) 95% CI for EXP(B)
Lower Upper
Years 0.031 0.003 154.816 1 <0.001 1.032 1.027 1.037
Inactive 56.134 5 <0.001
Walkers −0.350 0.079 19.473 1 <0.001 0.705 0.603 0.823
Low −0.561 0.115 23.698 1 <0.001 0.571 0.455 0.715
Medium −0.593 0.116 26.191 1 <0.001 0.553 0.440 0.694
High −0.848 0.161 27.799 1 <0.001 0.428 0.313 0.587
Very High −0.826 0.211 15.294 1 <0.001 0.438 0.289 0.662
Sex −0.203 0.062 10.526 1 <0.001 0.817 0.723 0.923
Urgencies −1.704 0.064 704.894 1 <0.001 0.182 0.160 0.206
Constant −2.668 0.146 333.764 1 <0.001 0.069

B: Understandarized beta; SE: Standard error of the regression; Wald: Wald Chi-Squared Test; Df: Degrees of freedom; Sig: Statistical significance; Exp: Exponential regression; CI: Confidence Interval. Inactive: PAI = 0; reports not walking at least one day a week for more than 10 min at a time; Walkers PAI = 0; reports walking at least one day a week for more than 10 min at a time; Low: PAI = 1–15; Medium: PAI = 16–30; High: PAI = 31–45; Very high: Sex: men or women; PAI > 45; Yes: used emergency services at least once in the last 12 months. Yes: used emergency services at least once in the last 12 months; No: did not use emergency services at least once in the last 12 months.