Table 3.
A stepwise multivariate regression analysis of suspected GERD.
| Features | Odds ratio | Std. err. | Z | P > ∣z∣ | [95% conf. interval] |
|---|---|---|---|---|---|
| Smoking | 1.190 | 0.037 | 5.66 | 0.000 | [1.120-1.264] |
| Alcohol consumption | 1.278 | 0.037 | 8.40 | 0.000 | [1.207-1.353] |
| Salt intake | 0.903 | 0.026 | -3.52 | 0.000 | [0.853-0.956] |
| Physical activity | 0.846 | 0.020 | -7.14 | 0.000 | [0.808-0.886] |
| Age stratification | 1.080 | 0.025 | 3.28 | 0.000 | [1.032-1.132] |
| Waist circumstance | 1.014 | 0.001 | 9.62 | 0.000 | [1.011-1.017] |
| TG (mmol/L) | 1.039 | 0.009 | 4.25 | 0.000 | [1.021-1.057] |
| Fasting blood glucose (mmol/L)) | 0.966 | 0.009 | -3.51 | 0.000 | [0.948-0.985] |
| Daily fruit intake | 0.910 | 0.028 | -3.04 | 0.000 | [0.856-0.967] |
| Daily meat, fish, and egg intake | 1.088 | 0.024 | 3.85 | 0.000 | [1.042-1.135] |
Multivariate regression analysis was performed focusing on the 10 background factors; the normality was tested by the Kolmogorov-Smirnov method. The correlation of GerdQ score with 10 variables was assessed using chi-squared test and logistic regression analysis. The level of significance in each factor was set at P value <0.05 (∗).