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. 2020 Oct 8;12(10):e10845. doi: 10.7759/cureus.10845

Table 3. Multivariate logistic regression model to predict a poor quality of life in bronchial asthma.

Abbreviations: BMI, body mass index; CI, confidence interval; OR, odds ratio; SE, standard error.

Dependent variable = Quality of Life (Poor, Better)

Model Summary: Model Accuracy = 90.3%; -2 Log likelihood = 83.14; Cox & Snell R Square = 43.6%; Nagelkerke R Square= 62.5%

Variables Regression Coefficient SE P-value OR 95% CI for OR
Lower Upper
Advance Age (≥ 40 Years) 1.387 .592 .019 4.00 1.25 12.76
Obesity (BMI ≥25 kg/m2) .844 .671 .208 2.32 0.62 8.65
Female Gender 1.732 .727 .017 5.65 1.36 23.50
Uneducated Patients .617 .666 .354 1.85 0.50 6.84
Low Socioeconomic status .638 .683 .350 1.89 0.49 7.21
Family History of Asthma (Yes) .862 .575 .134 2.36 0.76 7.30
Smoker (Yes) 1.112 .688 .106 3.04 0.79 11.71
Pet At Home(Yes) 1.806 .821 .028 6.08 1.21 30.45
Residency (Rural) .268 .601 .656 1.30 0.40 4.24
Duration of Asthma (Months) .087 .080 .278 1.09 0.93 1.27
Duration of Treatment of Asthma (weeks) -.046 .097 .636 0.95 0.78 1.15
Severity of Asthma (Moderate) 2.617 .672 .0005 13.68 3.66 51.12
Constant -4.669 1.810 .010 .009