Accepted Manuscript Anthropometric parameter that best predict metabolic syndrome in South west Nigeria Esther Ngozi Adejumo, Adedeji Olusola Adejumo, Alfred Azenabor, Ayodele Oloruntoba Ekun, Seyi Samson Enitan, Olayimika Kehinde Adebola, Omobolanle Abioye Ogundahunsi PII: S1871-4021(18)30319-9 DOI: 10.1016/j.dsx.2018.08.009 Reference: DSX 1068 To appear in: Diabetes & Metabolic Syndrome: Clinical Research & Reviews Received Date: 15 July 2018 Accepted Date: 9 August 2018 Please cite this article as: Adejumo EN, Adejumo AO, Azenabor A, Ekun AO, Enitan SS, Adebola OK, Ogundahunsi OA, Anthropometric parameter that best predict metabolic syndrome in South west Nigeria, Diabetes & Metabolic Syndrome: Clinical Research & Reviews (2018), doi: 10.1016/ j.dsx.2018.08.009. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.