Skip to main content
. 2021 Dec 22;37(1):49–65. doi: 10.1007/s10654-021-00828-3

Table 2.

Levels of GDF-15, NT-proBNP, HbA1C, CRP, cystatin-C among different strata of the sub-cohort, EPIC-Heidelberg (n = 3792)

GDF-15 NT-proBNP HbA1C CRP Cystatin-C
Mean ± SE P* R2 Mean ± SE P* R2 Mean ± SE P* R2 Mean ± SE P* R2 Mean ± SE P* R2
Age  < .001 0.13  < .001 0.04  < .001 0.07  < .001 0.02  < .001 0.13
 < 40 518 ± 18 212 ± 21 33.3 ± 0.5 2.1 ± 0.3 337 ± 18
[40—45[ 533 ± 12 205 ± 13 33.9 ± 0.3 2.6 ± 0.2 350 ± 11
[45—50[ 586 ± 13 218 ± 14 34.5 ± 0.3 2.2 ± 0.2 356 ± 12
[50—55[ 645 ± 9 180 ± 11 35.8 ± 0.3 3.1 ± 0.2 563 ± 9
[55 -60[ 731 ± 9 224 ± 11 36.7 ± 0.3 3.7 ± 0.2 589 ± 9
 ≥ 60 803 ± 10 315 ± 11 38.3 ± 0.3 4.0 ± 0.2 597 ± 10
Sex  < .001 0.13  < .001 0.04  < .001 0.07 0.07 0.02 0.94 0.13
Men 661 ± 7 196 ± 8 35.9 ± 0.2 2.8 ± 0.1 465 ± 7
Women 611 ± 6 255 ± 7 34.9 ± 0.2 3.1 ± 0.1 465 ± 6
Level of education  < .001 0.14  < .001 0.04  < .001 0.08  < .001 0.03 0.80 0.13
None/primary school 676 ± 8 225 ± 10 36.5 ± 0.2 3.6 ± 0.1 470 ± 8
Technical/professional 631 ± 8 243 ± 9 35.8 ± 0.2 2.9 ± 0.1 459 ± 8
Secondary school 655 ± 18 222 ± 21 35.1 ± 0.5 2.9 ± 0.3 467 ± 17
Longer (incl. University) 601 ± 8 210 ± 9 34.2 ± 0.2 2.4 ± 0.1 465 ± 8
Physical activity level 0.60 0.13 0.64 0.04 0.05 0.07 0.45 0.02 0.53 0.13
Inactive 630 ± 10 218 ± 12 34.8 ± 0.5 2.7 ± 0.2 477 ± 9
Moderately inactive 640 ± 9 231 ± 10 35.5 ± 0.2 3.1 ± 0.2 464 ± 8
Moderately active 640 ± 7 230 ± 9 35 .7 ± 0.2 3.0 ± 0.1 461 ± 7
Active 620 ± 15 210 ± 18 35.5 ± 0.4 3.1 ± 0.3 454 ± 15
BMI  < .001 0.13 0.31 0.04  < .001 0.09  < .001 0.09 0.53 0.13
Normal 642 ± 7 225 ± 8 34.7 ± 0.2 2.0 ± 0.1 464 ± 7
Overweight 614 ± 8 219 ± 9 35.2 ± 0.2 3.3 ± 0.1 463 ± 7
Obese 674 ± 11 243 ± 14 38.1 ± 0.3 5.1 ± 0.2 477 ± 11
Smoking status  < .001 0.21 0.67 0.04  < .001 0.08  < .001 0.04 0.01 0.13
Never 579 ± 7 218 ± 8 34.8 ± 0.2 2.6 ± 0.1 459 ± 7
Long time quitter (> 10 y) 598 ± 9 229 ± 11 35.0 ± 0.2 2.7 ± 0.2 450 ± 9
Short time quitter (≤ 10 y) 643 ± 14 247 ± 17 35.4 ± 0.4 3.2 ± 0.3 469 ± 14
Current, light (≤ 10 cig /d) 679 ± 16 225 ± 19 36.2 ± 0.5 2.6 ± 0.3 470 ± 16
Current, heavy (> 10 cig/d) 824 ± 11 225 ± 14 37.3 ± 0.3 4.3 ± 0.2 501 ± 12
Alcohol consumption£ 0.008 0.14 0.32 0.04  < .001 0.07 0.42 0.02 0.72 0.13
Low consumers 624 ± 7 220 ± 7 35.9 ± 0.2 2.9 ± 0.1 467 ± 7
High consumers 647 ± 7 231 ± 7 35.0 ± 0.2 3.0 ± 0.1 464 ± 6
Baseline diabetes  < .001 0.15 0.99 0.04  < .001 0.35  < .001 0.02 0.27 0.13
No 629 ± 5 226 ± 5 34.6 ± 0.1 2.9 ± 0.1 466 ± 5
Yes 841 ± 23 226 ± 28 59.6 ± 0.5 4.7 ± 0.4 441 ± 23

GDF-15: n = 3701; NT-proBNP: n = 3430; HbA1C: n = 3717; CRP: n = 3635; Cystatin-C: n = 3665

HbA1C in % can be obtained from mmol/mol as follows: HbA1C (%) = (0.0915 × (HbA1C mmol/mol)) + 2.15%

Values are means (adjusted for age and sex) ± SE

*p-value for lifestyle factor, obtained using a generalized linear model adjusted for age and sex

R2: adjusted R2 obtained using age and sex-adjusted linear regressions, interpreted as the variance in the biomarker jointly explained by age, sex and the specific lifestyle factor

£Lifetime alcohol consumption according to sex-specific median: median in men = 20.6 g/day and in women = 4.1 g/day

R2 for a model including all of the above factors: 0.23 for GDF-15, 0.04 for NT-proBNP, 0.37 for HbA1C, 0.12 for CRP and 0.14 for Cystatin-C