Leptin: Adiponectin ratio discriminated the risk of metabolic syndrome better than adiponectin and leptin in Southwest Nigeria.

AIM: To assess the ability of leptin, adiponectin and leptin: adiponectin ratio (LAR) to discriminate apparently healthy subjects with metabolic syndrome in Southwest Nigeria. METHODS: One hundred and twenty three subjects with metabolic syndrome (cases) were age matched with 123 subjects without metabolic syndrome. The serum adiponectin and leptin levels were measured using standard procedures. The ability of serum adiponectin, leptin and LAR to discriminate metabolic syndrome and its components were determined using the receiver operating curve and linear regression. RESULTS: The median age of the cases (49 IQR 42, 56 years) was not significantly different from the controls (48 IQR 39, 56 years) p = 0.252. The adiponectin levels was reduced with increasing number of the components of metabolic syndrome from 11.6 (IQR 9.6, 13.5) among subjects without any component of metabolic syndrome to 6.5 (IQR 5.7, 7.7) in subjects with more than three components of metabolic syndrome. For leptin and LAR, the values increased with increasing components (p < 0.001). LAR (AUC 0.960) discriminated metabolic syndrome better than adiponectin (AUC 0.865) and leptin (AUC = 0.918) in males and females (LAR AUC = 0.966, adiponectin AUC = 0.888, leptin AUC = 0.929). CONCLUSION: LAR had better ability to discriminate the risk of metabolic syndrome than adiponectin and leptin alone in males and females among apparently healthy subjects from Southwest Nigeria.

Anthropometric parameter that best predict metabolic syndrome in South west Nigeria.

AIM: This study compared the ability of anthropometric parameters to predict Metabolic Syndrome (MetS). METHODS: Eleven anthropometric parameters: waist circumference (WC), body mass index (BMI), waist-to-height ratio (WHtR), a body shape index (ABSI), body roundness index (BRI), visceral adiposity index (VAI), abdominal volume index (AVI), Conicity Index (CI), body adiposity index (BAI), lipid accumulation product (LAP) and waist circumference-triglyceride index (WTI) were measured and calculated in apparently healthy subjects with and without MetS. A receiver operating characteristic (ROC) curve was applied to assess their ability to predict MetS. RESULTS: Of the 535 subjects recruited 23% had MetS. WC had the largest area under the curve (AUC) in both men (0.814 95% CI 0.721-0.907) and women (0.819 95%CI 0.771-0.867). This did not differ from the AUC of BMI, WHtR, BRI, CI, BAI, LAP in men and BMI, WHtR, BAI, LAP, VAI and WTI in women (P > 0.05). The cutoff point for WC was 89.5 cm and 91.8 cm in men and women respectively. The AUC of WC was the largest in the 40-49 and 60 years and above age groups while the AUC of LAP was the largest for age groups 30-39 and 50-59 years. CONCLUSION: Of the 11 anthropometric parameters assessed, the WC was the best at predicting MetS in both men and women. There is need to ascertain the cutoff point and establish landmark for measuring WC especially for the sub Saharan region.