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  • Title: Anthropometric parameter that best predict metabolic syndrome in South west Nigeria.
    Author: Adejumo EN, Adejumo AO, Azenabor A, Ekun AO, Enitan SS, Adebola OK, Ogundahunsi OA.
    Journal: Diabetes Metab Syndr; 2019; 13(1):48-54. PubMed ID: 30641748.
    Abstract:
    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.
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