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

Table 4.

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

Characteristics Bivariate analysisa
Logistic regressionb
Alive (n = 538) Dead (n = 309) p-value OR LL UL p-value
Cancer 8.5% 10.4% 0.347 1.593 0.971 2.615 0.065
Diabetes 24.7% 33.6% 0.004 1.475 1.087 2.001 0.013
CVD 60.3% 72.9% <0.001 1.777 1.299 2.432 <0.001
HIV infection 2.1% 2.7% 0.566 0.870 0.330 2.294 0.779
Chronic Respiratory Disease 19.0% 28.3% 0.001 1.853 1.343 2.558 <0.001
Kidney Disease 5.9% 19.9% <0.001 3.946 2.547 6.112 <0.001
Other Metabolic Disease 9.4% 10.7% 0.596 0.913 0.568 1.469 0.708
Liver Disease 2.1% 1.2% 0.320 0.804 0.257 2.512 0.708
Chronic Neurological Disease 5.2% 13.1% <0.001 3.440 2.124 5.573 <0.001
Obesity 14.0% 13.1% 0.555 1.093 0.703 1.700 0.692

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).