Table 2.
Binary logistic regression analysis results of factors affected of BMI in older adults in China.
| Independent variable (control group) | B | SE | Wald χ2 | P | OR | 95%CI |
|---|---|---|---|---|---|---|
| Age | −0.029 | 0.004 | 46.969 | 0.000*** | 0.971 | 0.963–0.980 |
| Marital status (Widowed) | 8.974 | 0.062 | ||||
| Spinsterhood | −0.867 | 0.343 | 6.398 | 0.011* | 0.420 | 0.214–0.823 |
| Married | 0.081 | 0.075 | 1.161 | 0.281 | 1.085 | 0.936–1.258 |
| Cohabiting | 0.149 | 0.427 | 0.122 | 0.727 | 1.161 | 0.503–2.679 |
| Divorce | 0.048 | 0.261 | 0.034 | 0.854 | 1.049 | 0.629–1.750 |
| Residence (Rural) | ||||||
| Urban | 0.373 | 0.051 | 53.829 | 0.000*** | 1.452 | 1.314–1.604 |
| Education years | 0.016 | 0.006 | 7.895 | 0.005** | 1.016 | 1.005–1.027 |
| Smoking amount/day | −0.018 | 0.003 | 38.576 | 0.000*** | 0.982 | 0.976–0.987 |
| Screen time/week | 0.012 | 0.002 | 35.441 | 0.000*** | 1.012 | 1.008–1.016 |
| Constant | 1.044 | 0.313 | 11.153 | 0.001** | 2.841 |
B stands for regression coefficient; SE stands for standard error; The Wald χ2 and P-values correspond to hypothesis tests expressed as B coefficients; OR stands for odds ratio; 95% CI stands for 95% confidence interval.
*P < 0.05; **P < 0.01; ***P < 0.001.