Assessing the prevalence and risk factors of pre-diabetes among the community of Iganga Municipality, Uganda: A cross sectional study

Abstract

Objective: The prevalence of pre-diabetes is increasing globally with more than 470 million people projected to develop pre-diabetes by 2030. In Africa, the average prevalence of pre-diabetes was estimated at 7.3% in 2015 and affected individual will develop type 2 diabetes mellitus within few decades. The aim of the study was to determine the prevalence of pre-diabetes and associated risk factors among residents of Iganga Municipality. A cross-sectional study was conducted among males and females aged 13-60 years. District health office provided updated household list from which sampling of the villages was performed based on probability proportionate to population. Consented participants were prepared for the study, allowing fasting for 8 to 10 hours before blood collection the next morning. Individuals with impaired fasting glucose, were subjected to OGTT. Results: 130 participants were enrolled, of which 98 were women. The mean age of the participants was 35 years. The prevalence of pre-diabetes was 3.8%. The proportion of impaired glucose tolerance was higher in current smokers (p = 0.01), obese participants (p = 0.002) and hypertensives (p <0.001). Prevalence of pre-diabetes is high in this community and is associated with current smoking, hypertension and high BMI.

Magnitude of impaired fasting glucose and undiagnosed diabetic mellitus and associated risk factors among adults living in Woreta town, northwest Ethiopia: a community-based cross-sectional study, 2021

“…This report was in line with reports from studies in the East Gojjam zone, northwest Ethiopia (11.5%) [23] Bahir Dar city, northwest Ethiopia (10.2%) [7], Germany (8.2%) [24] USA (11.5%) [25] Italia (10%) [26] and African urban population (8.68%) [27]. However, the magnitude of UDM in this study was higher than that of a study in Uganda (2.3%) [22] and Kenya (2.4%) [1]. The possible difference between Kenya's study and the current study is that the current study was from a single center while Kenya's sample was a nationally representative sample.…”

“…This report was higher than a population-based study in Qatar (12.5%) [19]. In Denmark (27.1%) [20] and Bukittinggi, Indonesia (32%) [21], Uganda (3.9%) [22], and Kenya (3.1%) [1]. The probable reason could be the differences in relation to sociodemographic and living standards.…”