Table 2.
Summary of the variables considered for inclusion in the general linear model (GLM) of factors influencing the dependent variable actual dietary iodine intake
| Estimates of effects | ||||
|---|---|---|---|---|
| GLM model predictors | Estimate (β i )* | se | F-ratio | P |
| Intercept | −1432 | 662·7 | 0·03 | |
| Na (g/d) | 16·8 | 1·1 | 256·2 | <0·0001 |
| Ca (g/d) | 106 | 16·3 | 42·7 | <0·0001 |
| BMI | 1·6 | 0·3 | 26·3 | <0·0001 |
| Smoker | 7·3 | 0·001 | ||
| Former | −14·3 | 4·5 | 0·0015 | |
| Current | −22·8 | 5·2 | <0·0001 | |
| Never | 0 | – | – | |
| Region (language) | 8·1 | <0·0001 | ||
| Basel (German) | 5·7 | 5·0 | 0·250 | |
| Fribourg (French) | −18·3 | 7·4 | 0·013 | |
| Geneva (French) | −6·7 | 6·5 | 0·303 | |
| Lucerne (German) | 12·6 | 5·3 | 0·017 | |
| St. Gall (German) | −16·0 | 5·2 | 0·002 | |
| Ticino (Italian) | 17·2 | 6·1 | 0·005 | |
| Vaud (French) | −6·8 | 6·7 | 0·311 | |
| Valais (French) | −15·6 | 6·7 | 0·020 | |
| Zurich (German) | 0 | – | – | |
| Date of urine collection | 0·4 | 0·02 | 5·1 | 0·024 |
| Gender | 24·3 | <0·0001 | ||
| Female | −26·1 | 3·8 | <0·0001 | |
| Male | 0 | – | – | |
| Gender × smoking | 4·0 | 0·018 | ||
*
β coefficients are partial regression coefficients.