Unknown

Dataset Information

A population-based survey of prevalence of diabetes and correlates in an urban slum community in Nairobi, Kenya.


ABSTRACT:

Background

Urban slum populations in Africa continue to grow faster than national populations. Health strategies that focus on non-communicable diseases (NCD) in this segment of the population are generally lacking. We determined the prevalence of diabetes and associated cardiovascular disease (CVD) risk factors correlates in Kibera, Nairobi's largest slum.

Methods

We conducted a population-based household survey utilising cluster sampling with probability proportional to size. Households were selected using a random walk method and consenting residents aged 18 years and above were recruited. The WHO STEPS instrument was administered. A random capillary blood sugar (RCBS) was obtained; known persons with diabetes and subjects with a RCBS >11.1 had an 8 hours fasting blood su

SUBMITTER: Ayah R 

PROVIDER: S-EPMC3641964 | biostudies-literature | 2013 Apr

REPOSITORIES: biostudies-literature