Adiponectin Gene Polymorphisms and Possible Susceptibility to Metabolic Syndrome among the Sudanese Population: A Case-Control Study
Table 5
Univariate and multivariate logistic regression analysis of risk factors affecting MetS patients.
Variables
Univariate
#Multivariate
value
OR (95% CI)
value
OR (95% CI)
Age (year)
0.856
1.002 (0.977–1.028)
—
—
Gender (M/F)
1.000
1.000 (0.672–1.487)
—
—
Hypertension
11.81 (6.331–22.05)
8.50 (1.870–38.71)
Hyperglycemia
17.62 (10.33–30.05)
24.43 (7.213–82.78)
BMI (kg/m2)
1.469 (1.367–1.579)
1.254 (1.078–1.458)
WC (cm)
1.191 (1.154–1.230)
1.210 (1.134–1.292)
TG (mg/dL)
1.051 (1.040–1.063)
1.055 (1.032–1.079)
TC (mg/dL)
1.009 (1.003–1.016)
0.838
0.997 (0.969–1.026)
LDL-C (mg/dL)
1.020 (1.013–1.027)
0.643
0.994 (0.967–1.021)
HDL-C (mg/dL)
0.930 (0.911–0.949)
0.266
0.971 (0.923–1.022)
ADIPOQrs266729
CG
1.762 (1.071–2.898)
0.747
1.222 (0.361–4.133)
GG
5.089 (1.423–18.20)
0.451
4.920 (0.078–310.7)
ADIPOQrs2241766
TG
2.090 (1.296–3.371)
4.454 (1.184–16.78)
GG
6.127 (1.321–28.42)
0.647
0.467 (0.018–12.11)
ADIPOQrs1501299
GT
1.961 (1.303–2.952)
3.021 (1.056–8.645)
TT
7.506 (3.162–17.82)
0.383
2.136 (0.388–11.76)
OR: odd ratio, CI: confidence interval. Logistic regression was used for analysis. value ≤0.05 was considered statistically significant. #All variables with value <0.05 were included in the multivariate.
