Skip to main content
. 2023 Jul 7;9(7):e18109. doi: 10.1016/j.heliyon.2023.e18109

Table 3.

Bivariate and age-adjusted logistic regression analyses of comorbidities associated with the odds of dying in the overall population.

Characteristics Bivariate analysisa
Logistic regressionb
Alive (n = 926) Dead (n = 498) p-value OR LL UL p-value
Cancer 8.7% 10.8% 0.181 1.702 1.182 2.451 0.004
Diabetes 23.3% 28.9% 0.013 1.398 1.102 1.775 0.006
CVD 57.6% 69.0% <0.001 1.724 1.368 2.173 <0.001
HIV infection 3.0% 2.8% 0.798 0.672 0.343 1.317 0.247
Chronic Respiratory Disease 17.4% 24.0% 0.001 1.672 1.295 2.160 <0.001
Kidney Disease 20.3% 5.7% <0.001 4.179 3.010 5.804 <0.001
Other Metabolic Disease 11.0% 9.6% 0.381 0.693 0.484 0.992 0.045
Liver Disease 1.6% 1.4% 0.799 1.209 0.500 2.919 0.674
Chronic Neurological Disease 6.5% 15.3% <0.001 3.385 2.413 4.749 <0.001
Obesity 14.9% 13.7% 0.759 1.036 0.743 1.444 0.836

Abbreviations: OR, odds ratio; LL, lower limit; UL, upper limit; CVD, cardiovascular diseases; HIV, Human Immunodeficiency Virus.

a

Results are based on the Chi-Squared test.

b

Odds ratios, 95% Confidence Intervals, and p-values are based on an age-adjusted logistic regression model including all factors reported in the table (presence vs. absence of each comorbidity).