5
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Body mass index, waist circumference, hip circumference, waist-hip-ratio and waist-height-ratio: which is the better discriminator of prevalent screen-detected diabetes in a Cameroonian population?

      Read this article at

      ScienceOpenPublisherPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The link between measures of adiposity and prevalent screen-detected diabetes (SDM) in Africa has been less well investigated. We assessed and compared the strength of association and discriminatory capability of measures of adiposity including body mass index (BMI), waist circumference (WC), hip circumference (HC), waist-hip-ratio (WHR) and waist-height-ratio (WHtR) for prevalent SDM risk in a sub-Saharan African population.

          Related collections

          Author and article information

          Journal
          Diabetes Res. Clin. Pract.
          Diabetes research and clinical practice
          Elsevier BV
          1872-8227
          0168-8227
          Apr 2015
          : 108
          : 1
          Affiliations
          [1 ] Section of International Health, Department of Community Medicine, University of Oslo, Norway; Health of Populations in Transition (HoPiT) Research Group, Faculty of Medicine and Biomedical Sciences, The University of Yaoundé 1, Yaoundé, Cameroon. Electronic address: vivimbanya@yahoo.com.
          [2 ] Health of Populations in Transition (HoPiT) Research Group, Faculty of Medicine and Biomedical Sciences, The University of Yaoundé 1, Yaoundé, Cameroon; South African Medical Research Council Cape Town, South Africa; University of Cape Town, Cape Town, South Africa. Electronic address: akengne@georgeinstitute.org.au.
          [3 ] Health of Populations in Transition (HoPiT) Research Group, Faculty of Medicine and Biomedical Sciences, The University of Yaoundé 1, Yaoundé, Cameroon. Electronic address: jcmbanya@yahoo.co.uk.
          [4 ] Section of International Health, Department of Community Medicine, University of Oslo, Norway. Electronic address: hussain.akhtar@medisin.uio.no.
          Article
          S0168-8227(15)00052-2
          10.1016/j.diabres.2015.01.032
          25700625
          1852ebff-56f3-4b2c-bb1a-5d3970befe26
          History

          Risk marker,Prediction,Prevalent screen-detected diabetes,Adiposity,Cameroon

          Comments

          Comment on this article