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. 2023 Jul 7;9(7):e18109. doi: 10.1016/j.heliyon.2023.e18109

Table 5.

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

Characteristics Bivariate analysisa
Logistic regressionb
Alive (n = 388) Dead (n = 189) p-value OR LL UL p-value
Cancer 9.0% 11.3% 0.331 1.741 1.008 3.005 0.047
Diabetes 21.5% 22.2% 0.835 1.208 0.816 1.787 0.345
CVD 54.2% 63.5% 0.017 1.624 1.147 2.298 0.006
HIV infection 4.2% 2.9% 0.414 0.504 0.189 1.341 0.170
Chronic Respiratory Disease 15.4% 18.0% 0.370 1.400 0.909 2.154 0.127
Kidney Disease 5.5% 20.9% <0.001 4.654 2.810 7.709 <0.001
Other Metabolic Disease 12.9% 7.9% 0.048 0.483 0.273 1.356 0.130
Liver Disease 0.9% 1.7% 0.350 2.423 0.542 10.830 0.247
Chronic Neurological Disease 8.1% 18.4% <0.001 3.326 2.059 5.372 <0.001
Obesity 16.2% 14.7% 0.565 0.934 0.559 1.562 0.796

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).