Table 5. Multivariate linear regression using log-transformed values of cytokines.
IL-1β | IL-6 | TNF-α | CRP | |
Men(yes vs. no) | −0.0638(0.0495) | 0.0756(0.0366)* | 0.0517(0.0228)* | −0.2210(0.0261)*** |
Age | −0.0077(0.0023) *** | 0.0029(0.0017) | 0.0071(0.0011)*** | 0.0128(0.0012)*** |
BMI | −0.0074(0.0055) | 0.0224(0.0041)*** | 0.0163(0.0026)*** | 0.0969(0.0029)*** |
Former smoker(yes vs. no) | 0.0080(0.0572) | 0.0965(0.0425)* | 0.0297(0.0264) | −0.0030(0.0301) |
Current smoker(yes vs. no) | 0.1118(0.0605) | 0.2524(0.0450)*** | 0.1165(0.0280)*** | 0.2327(0.0321)*** |
Leisure-time PA(yes vs. no) | −0.0035(0.0512) | −0.0276(0.0378) | −0.0063(0.0236) | −0.1520(0.0270)*** |
Results are expressed as slope and (standard error). BMI, body mass index; hs-CRP, high sensitive C reactive protein; IL-1β, interleukin-1β; IL-6, interleukin-6; PA, physical activity; TNF-α, tumor necrosis factor-α. Statistical analysis by linear regression on log-transformed cytokine values:
*, p<0.05;
***, p<0.001.