Table 4.
Summary of Multiple Regression Analysis
| Variable | B | 95% CI | P |
|---|---|---|---|
| Intercept | 16.73 | < 0.001 | |
| Age (Years) | 0.02 | -0.02 - 0.06 | 0.26 |
| Male sex | 0.72 | -0.18 - 1.16 | 0.11 |
| ≥10 years education+ | 1.65 | 0.59 - 2.7 | 0.002 |
| Married+ | 1.98 | 0.94 - 3.0 | < 0.001* |
| Nuclear family+ | 0.28 | -1.09 - 0.53 | 0.50 |
| White collar occupation+ | 3.34 | 2.16 - 4.53 | < 0.001* |
| Upper SES+ | -5.5 | -6.85 - (-4.1) | < 0.001* |
| BMI | -0.02 | -0.10 - 0.06 | 0.62 |
*P<0.001; B=unstandardized regression coefficient; +Sex (1=male, 0=female), education (1 = ≥ 10 years, 0 = < 10 years), marital status (1=married, 0=unmarried), employment type (1=white collar, 0=others), SES (high/ middle=1, lower=0). SES - Socioeconomic status, BMI - Body mass index