Table 3.
Association between changes in the levels of inflammation markers and MetS status
| Markers | Models | Non-MetS | Incident MetS |
Recovery MetS |
Persistent MetS |
|||
|---|---|---|---|---|---|---|---|---|
| OR (95%CI) | P | OR (95%CI) | P | OR (95%CI) | P | |||
| Δ AdipoQ | Model 1 | Ref | 0.934 (0.869,1.00) | 0.066 | 0.986 (0.924,1.05) | 0.681 | 0.999 (0.948,1.05) | 0.960 |
| Model 2 | Ref | 0.931 (0.865,1.00) | 0.059 | 0.983 (0.919,1.05) | 0.617 | 0.994 (0.938,1.05) | 0.846 | |
| Δ Hcy | Model 1 | Ref | 1.021 (0.967,1.08) | 0.457 | 1.003 (0.956,1.05) | 0.900 | 1.021 (0.982,1.06) | 0.294 |
| Model 2 | Ref | 1.022 (0.968,1.08) | 0.430 | 1.008 (0.960,1.06) | 0.755 | 1.032 (0.989,1.08) | 0.143 | |
| Δ hs-CRP | Model 1 | Ref | 1.447 (1.18,1.77) | <0.001 | 1.137 (0.912,1.42) | 0.254 | 1.221 (1.02,1.46) | 0.030 |
| Model 2 | Ref | 1.399 (1.15,1.71) | 0.001 | 1.109 (0.887,1.39) | 0.364 | 1.176 (0.967,1.43) | 0.105 | |
| Δ IL-6 | Model 1 | Ref | 1.067 (0.995,1.15) | 0.068 | 1.054 (0.984,1.13) | 0.133 | 1.109 (1.047,1.17) | <0.001 |
| Model 2 | Ref | 1.06 (0.989,1.14) | 0.100 | 1.045 (0.976,1.12) | 0.207 | 1.096 (1.03,1.17) | 0.004 | |
| Δ IL-10 | Model 1 | Ref | 0.962 (0.860,1.08) | 0.493 | 0.996 (0.914,1.09) | 0.921 | 1.004 (0.933,1.08) | 0.907 |
| Model 2 | Ref | 0.957 (0.854,1.07) | 0.444 | 0.995 (0.912,1.09) | 0.904 | 1.000 (0.925,1.08) | 0.990 | |
Abbreviations: Δ, initial level - follow-up level; MetS, metabolic syndrome; AdipoQ, adiponectin; Hcy, homocysteine; hs-CRP, high-sensitivity C-reactive protein; IL-6, interleukin-6; IL-10, interleukin-10.
Results of multivariate logistic regression analyses with MetS status as a dependent variable.
Ref: The non-MetS group was used as the reference in logistic regression analysis.
Model 1: adjustment for baseline value of each inflammation marker, baseline age, and gender; model 2: model 1+ baseline BMI.