| dc.contributor.author | Geoffrey Omuse, Daniel Maina, Mariza Hoffman, Jane Mwangi, Caroline Wambua, Elizabeth Kagotho, Angela Amayo, Peter Ojwang, Zulfiqarali Premji, Kiyoshi Ichihara, Rajiv Erasmus | |
| dc.date.accessioned | 2022-01-21T10:21:23Z | |
| dc.date.available | 2022-01-21T10:21:23Z | |
| dc.date.issued | 2017 | |
| dc.identifier.uri | https://repository.maseno.ac.ke/handle/123456789/4452 | |
| dc.description.abstract | The 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 Kenya | en_US |
| dc.publisher | BioMed Central | en_US |
| dc.subject | Metabolic syndrome, Waist circumference, Visceral adiposity, Cardiovascular risk, Kenya, Africa | en_US |
| dc.title | Metabolic syndrome and its predictors in an urban population in Kenya: a cross sectional study | en_US |
| dc.type | Article | en_US |
