Deriving an optimal threshold of waist circumference for detecting cardiometabolic risk in sub-Saharan Africa

K. Ekoru, G. A.V. Murphy, E. H. Young, H. Delisle, C. S. Jerome, F. Assah, B. Longo-Mbenza, J. P.D. Nzambi, J. B.K. On'Kin, F. Buntix, M. C. Muyer, D. L. Christensen, C. S. Wesseh, A. Sabir, C. Okafor, I. D. Gezawa, F. Puepet, O. Enang, T. Raimi, E. OhwovorioleO. O. Oladapo, P. Bovet, W. Mollentze, N. Unwin, W. K. Gray, R. Walker, K. Agoudavi, S. Siziya, J. Chifamba, M. Njelekela, C. M. Fourie, S. Kruger, A. E. Schutte, C. Walsh, D. Gareta, A. Kamali, J. Seeley, S. A. Norris, N. J. Crowther, D. Pillay, P. Kaleebu, A. A. Motala, M. S. Sandhu*, behalf of the African Partnership for Chronic Disease Research (APCDR)

*Corresponding author for this work
24 Citations (Scopus)
52 Downloads (Pure)

Abstract

Background:Waist circumference (WC) thresholds derived from western populations continue to be used in sub-Saharan Africa (SSA) despite increasing evidence of ethnic variation in the association between adiposity and cardiometabolic disease and availability of data from African populations. We aimed to derive a SSA-specific optimal WC cut-point for identifying individuals at increased cardiometabolic risk.Methods:We used individual level cross-sectional data on 24 181 participants aged

Original languageEnglish
JournalInternational Journal of Obesity
Volume42
Issue number3
Pages (from-to)487-494
Number of pages8
ISSN0307-0565
DOIs
Publication statusPublished - 2018

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