However, after multivariate adjustment, this association was no longer significant, with a multivariate adjusted HR of 1.11 (95% CI 0.87 1.41).
After multivariate adjustment, the linear relationship was still present.
In our study, WHR was associated with FS, but after multivariate adjustment this significance disappeared.
After multivariate adjustment, the odds ratio comparing extreme quartiles was 4.3 (95% CI 1.7 10.8).
After multivariate adjustment, the strongest renal predictor of hs-TnT was eGFRcys.
Trouser/skirt size, modeled per 2 unit size increase, was associated with both CIMP (HR: 1.20, 95%CI: 1.05 1.37) and non-CIMP tumors (HR: 1.14, 95% CI: 1.05 1.24) after multivariate adjustment, and these associations remained even when models were mutually adjusted for BMI.
Using a crude linear-regression analysis model, we found a strong association between aluminium and BMD as well as with BMC, but after multivariate adjustment including age these associations did not remain significant (Table 2).
After multivariate adjustment for all of these factors, there was a trend across the three FLI categories.
These associations disappeared after multivariate adjustment, especially age adjustment.
These results marginally attenuated after multivariate adjustment (previous smoking, HR =1.17; 95% CI: 0.72-1.91; current smoking, HR =1.75; 95% CI: 1.00-3.06) as did the trend test (p= 0.14).
