Table 2.
Model# | Variable | Total (n = 5727) | Male (n = 2882) | Female (n = 2845) | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Beta | 95% CI | P value | Beta | 95% CI | P value | Beta | 95% CI | P value | |||||
1 | LnTSH | 0.018 | 0.005 | 0.030 | 0.005* | 0.002 | − 0.016 | 0.020 | 0.831 | 0.041 | 0.025 | 0.056 | < 0.0001* |
2 | LnTSH | 0.025 | 0.014 | 0.036 | < 0.0001* | 0.016 | 0.008 | 0.000 | 0.032* | 0.035 | 0.021 | 0.048 | < 0.0001* |
3 | LnTSH | 0.025 | 0.014 | 0.035 | < 0.0001* | 0.016 | 0.000 | 0.032 | 0.049* | 0.034 | 0.021 | 0.047 | < 0.0001* |
1 | Ln(free T4) | − 0.131 | − 0.190 | − 0.073 | < 0.0001* | − 0.295 | − 0.386 | − 0.205 | < 0.0001* | − 0.248 | − 0.327 | − 0.168 | < 0.0001* |
2 | Ln(free T4) | − 0.110 | − 0.166 | − 0.054 | < 0.0001* | − 0.086 | − 0.176 | 0.003 | 0.059 | − 0.135 | − 0.207 | − 0.062 | < 0.0001* |
3 | Ln(free T4) | − 0.113 | − 0.168 | − 0.058 | < 0.0001* | − 0.102 | − 0.191 | − 0.014 | 0.024* | − 0.129 | − 0.200 | − 0.059 | < 0.0001* |
#Model 1: linear regression analysis, 2: multiple regression analysis after adjustment for age, sex, systolic blood pressure, BMI, alcohol consumption, 3: multiple regression analysis after adjustment for age, sex, systolic blood pressure, waist circumference, alcohol consumption *P-values < 0.05 were considered as statistically significant.