Research Article

Serum Levels of Proinflammatory Biomarkers in Military Recruits with and without Metabolic Syndrome

Table 1

Characteristics of subjects with and without Met-S.

ParameterNo met-S ()Met-S ()Total () value

Age (years)<0.001
Age (categorized), (%)
 Age (≤21 y)1165 (76.5)283 (58.0)1448 (72.0)<0.001
 Age (22-26 y)331 (21.7)182 (37.3)513 (25.5)
 Age (>26 y)26 (1.7)23 (4.7)49 (2.4)
Marital status, (%)
 Single1476 (97.0)457 (93.6)1933 (96.2)<0.01
 Married46 (3.0)31 (6.35)77 (3.8)
 Height (cm)<0.001
 Weight (kg)<0.001
 BMI (kg/m2)<0.001
BMI status (categorized), (%)
 Normal (≤24.9)855 (56.2)0 (0.0)855 (42.5)<0.001
 Overweight (25.0-29.9)135 (8.9)91 (18.6)226 (11.2)
 Obesity (≥30.0)532 (35.0)397 (81.4)929 (46.2)
Systolic blood pressure, (%)
  ≤129.0 (normal)674 (44.3)40 (8.2)714 (35.5)<0.001
  >129.0 (high)848 (55.7)448 (91.8)1296 (64.5)
Fasting blood sugar (categorized), (%)
  <100.0 (normal)674 (44.3)57 (11.7)731 (36.4)<0.001
 100.0-125.9 (prediabetes)751 (49.3)359 (73.6)1110 (55.2)
  ≥126.0 (diabetes)97 (6.4)72 (14.8)169 (8.4)

Values are presented as number (%) or deviation. The chi-square test was used for categorical variables, and an independent -test was used for continuous variables.