Table 3.
Linear regression models for serum lipids with survey wave (DEGS1 vs. GNHIES98) as independent variable
| Men | Women | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Beta | 95 % Confidence interval | P | R2 | Beta | 95 % Confidence interval | P | R2 | |||
| Lower | Upper | Lower | Upper | |||||||
| Total cholesterol (mmol/l) | ||||||||||
| Model 1 | −0.845 | −0.925 | −0.765 | <.001 | .1087 | −0.781 | −0.861 | −0.701 | <.001 | .0975 |
| Model 2a | −0.828 | −0.904 | −0.753 | <.001 | .2559 | −0.782 | −0.855 | −0.708 | <.001 | .2977 |
| Model 3b | −0.779 | −0.856 | −0.702 | <.001 | .2833 | −0.788 | −0.865 | −0.710 | <.001 | .3147 |
| Triglycerides (log-transformed; mmol/l) | ||||||||||
| Model 1 | −0.177 | −0.210 | −0.143 | <.001 | .0225 | −0.098 | −0.133 | −0.062 | <.001 | .0090 |
| Model 2a,c | −0.088 | −0.122 | −0.054 | <.001 | .1298 | −0.050 | −0.084 | −0.017 | .004 | .1584 |
| Model 3b,c | −0.081 | −0.115 | −0.047 | <.001 | .2315 | −0.050 | −0.084 | −0.017 | .003 | .2817 |
| High density lipoprotein cholesterol (mmol/l) | ||||||||||
| Model 1 | −0.016 | −0.040 | 0.007 | .170 | .0006 | −0.081 | −0.112 | −0.051 | <.001 | .0094 |
| Model 2a | −0.016 | −0.039 | 0.007 | .170 | .0089 | −0.081 | −0.111 | −0.051 | <.001 | .0168 |
| Model 3b | −0.007 | −0.031 | 0.017 | .560 | .1330 | −0.099 | −0.127 | −0.071 | <.001 | .1571 |
Differences between mean serum lipid levels were estimated with the t test. P values < 0.05 were considered statistical significant (bold). All models are weighted population estimates: standardized to population structure as of 31st December 2010
aAdjusted for age
bAdjusted for age, educational status, current smoking, coffee consumption, processed food consumption, wholegrain bread consumption, high alcohol consumption, sports activity, body mass index category, use of lipid-lowering medication, hormonal contraceptives, and postmenopausal hormone therapy
cAdditionally adjusted for fasting duration