Show simple item record

dc.contributor.authorGeoffrey Omuse, Daniel Maina, Mariza Hoffman, Jane Mwangi, Caroline Wambua, Elizabeth Kagotho, Angela Amayo, Peter Ojwang, Zulfiqarali Premji, Kiyoshi Ichihara, Rajiv Erasmus
dc.date.accessioned2022-01-21T10:21:23Z
dc.date.available2022-01-21T10:21:23Z
dc.date.issued2017
dc.identifier.urihttps://repository.maseno.ac.ke/handle/123456789/4452
dc.description.abstractThe metabolic syndrome (MetS) is a clustering of interrelated risk factors which doubles the risk of cardio-vascular disease (CVD) in 5–10 years and increases the risk of type 2 diabetes 5 fold. The identification of modifiable CVD risk factors and predictors of MetS in an otherwise healthy population is necessary in order to identify individuals who may benefit from early interventions. We sought to determine the prevalence of MetS as defined by the harmonized criteria and its predictors in subjectively healthy black Africans from various urban centres in Kenyaen_US
dc.publisherBioMed Centralen_US
dc.subjectMetabolic syndrome, Waist circumference, Visceral adiposity, Cardiovascular risk, Kenya, Africaen_US
dc.titleMetabolic syndrome and its predictors in an urban population in Kenya: a cross sectional studyen_US
dc.typeArticleen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record