Table 2.
Associations of different adiposity measures with the serum 25-hydroxy vitamin D concentration
| Adiposity measures | Study | ß coefficient | Standard error | p |
|---|---|---|---|---|
| VAT | SHIP-Trend | −0.581 | 0.174 | <0.01 |
| Health2006 | −0.552 | 0.069 | <0.01 | |
| SAT | SHIP-Trend | −0.481 | 0.102 | <.001 |
| Health2006 | −0.496 | 0.117 | <0.01 | |
| %Bodyfat | SHIP-Trend | −0.266 | 0.059 | <.001 |
| Health2006 | 0.469a | 0.101 | <0.01 | |
| −0.010b | 0.002 | <0.01 | ||
| BMI | SHIP-1 | −0.253 | 0.031 | <0.01 |
| Health2006 | −0.250 | 0.034 | <0.01 | |
| Waist circumference | SHIP-1 | −0.112 | 0.013 | <0.01 |
| Health2006 | −0.112 | 0.013 | <0.01 | |
| Waist-to-hip ratio | SHIP-1 | −16.212 | 2.625 | <0.01 |
| Health2006 | −14.898 | 2.370 | <0.01 | |
| Waist-to-height ratio | SHIP-1 | −19.270 | 2.114 | <0.01 |
| Health2006 | −18.837 | 2.232 | <0.01 | |
| Body surface area | SHIP-1 | −5.090 | 0.878 | <0.01 |
| Health2006 | −5.363 | 0.883 | <0.01 |
ß-coefficients, standard errors, and p-values from fully-adjusted multivariable linear regression analyses. Effect estimates for a one unit increase in the adiposity measures were modeled. For example, in SHIP-1 a one kg/m2 increase in BMI is associated with a decrease in the 25OHD concentration of 0.25 ng/ml. All models were adjusted for age, sex, smoking status, physical activity, alcohol consumption, and month of blood sampling
The association between %bodyfat and the 25OHD concentration in Health2006 is non-linear. Therefore, we included %bodyfat and %bodyfat squared in the regression model
BMI body mass index, SAT abdominal subcutaneous adipose tissue, VAT visceral adipose tissue
alinear term
bsquared term