Introduction: Metabolic Syndrome (MetS) is a group of conditions that together raise your risk of cardiovascular disease, diabetes mellitus, dyslipidemia and hypertension. The diagnosis of MetS was established according to the revised criteria of the NCEP/ATP III (MS-NCEP/ ATP III). Although BMI is the most common screening measures to identify people who are at relatively high risk of MetS, this tool is not particularly the most effective tool. Thus, we seek to find single parameter with the strongest diagnostic accuracy for MetS in a sample of healthy, unrelated adults. Materials & Methods: The study was conducted on 200 apparently healthy male and female students of university of Maiduguri. Random sampling techniques were used to recruit the subjects aged 18–41 years with mean age of 25.65±5.56 years for males and 24.11±4.60 years for females. Examination of subjects consisted of physical examination with measurement of anthropometric and clinical parameters, filling out a questionnaire, and evaluation of serum lipid levels. Result: The result shows the mean±SD for the components of MetS includes BP (SBP=105.67±9.82; DBP=70.43±6.16); TG=1.69±0.72; HDL=1.10±0.37; FBG=3.88±0.72; WC=87.76±8.41 for males and BP (SBP=104.69±9.93; DBP=69.93±6.44), TG=1.82±0.69; HDL=1.13±0.39; FBG=3.64±0.79; WC=86.93±9.89 for females. The result shows prevalence of MetS in males was 8.1% and 21.5% in females. The result also shows that LAP has the highest diagnostic accuracy among the study population (AUC=0.856) than VAI (AUC=0.820) and BMI (AUC=0.523). LAP was also found to have highest diagnostic accuracy in males (AUC=0.908) than VAI (AUC=0.850) and BMI (AUC=0.498) while in females VAI was found to have highest diagnostic accuracy with AUC (0.865) than LAP (AUC=0.721) and BMI (AUC=0.436). Conclusion: This study therefore shows LAP has the highest diagnostic accuracy and particularly the most effective tool in identifying males who are at the risk of MetS. While VAI has ...........