Prevalence of obesity, diabetes mellitus, hypertension and associated risk factors in a mining workforce, Democratic Republic of Congo

Introduction: The burden of non-communicable diseases (NCDs) is increasing in low and middle-income countries (LMIC). According to the World Health Organization (WHO) the largest increase occurs in Africa. Obesity, diabetes mellitus and hypertension (ODH) are major risk factors for cardiovascular diseases, causing nearly 18 million deaths worldwide. Various risks associated with mining as an occupational activity are implicated in NCDs' occurrence. This study describes the baseline prevalence of ODH and associated risk factors in the workforce of Tenke Fungurume Mining (TFM), in southern Democratic Republic of Congo. Methods: A cross-sectional study was conducted on a sample of 2,749 employees' and contractor's occupational health examination files for 2010. Socio-demographic, occupational, medical, anthropometric and behavioral characteristics were collected and assessed. Disease status regards ODH was based on WHO criteria. A multivariate logistic regression model was used. Results: Overall prevalence of ODH was 4.5%, 11.7%, and 18.2% respectively. Proportions of pre-ODH individuals were 19.7%, 16.5%, and 47.8% respectively. Prevalence of ODH increased with age, professional grade, nature of work, gender and reported alcohol use. Smoking 10 or more cigarettes per day increased risk of diabetes and hypertension, while decreasing obesity. Conclusion: Rates of ODH and associated risk factors are higher in the TFM workforce, than in the general DRC population. This is likely reflective of other mining sites in the country and region. It is evident that ODH are associated with various socio-demographic, occupational, anthropometric, biomedical and behavioral risk factors. A NCD prevention program and close monitoring of disease and risk factors trends are needed in this population

A cross-sectional study on obesity and related risk factors among women of the central market of Lusonga in Lubumbashi, Democratic Republic of Congo

Introduction: Obesity is known as one of adjuvant factors for increase in non-communiable diseases (NCDs). The aim of this study was to describe the prevalence of obesity and identify its risk factors among women of the central market of Lusonga in Lubumbashi, Democratic Republic of Congo.Methods: in October 2014, we interviewed a total of 430 women selling in the central market of Lusonga in Lubumbashi. Data on sociodemographic characteristics, health-related habits and behaviors, diet, physical activity, chronic diseases, blood pressure and anthropometric measurements were collected. A multivariate logistic regression model was fitted.Results: Prevalence of overweight and obesity was 16.51% and 13.26% respectively. The logistic regression did not show any significant association between age and obesity. Risk of obesity was lower in married women (adjusted odds ratio (aOR) = 0.23 (0.08-0.63)). Women with low educational profile (primary school or less) were more likely to be obese than those with higher education (secondary or high school) (aOR = 2.50 (1.12-5.63)). Risk of obesity increased with living in urban area (aOR = 2.52 (1.00-6.36)), use of oral birth control pills (aOR = 11.07 (3.52-34.83)) and low consumption of fruit (aOR = 5.47 (1.88-15.92)) and vegetable (aOR = 2.42 (1.05-5.56)). Obese women were more likely to be hypertensive than non-obese (aOR = 7.15 (2.46-20.75)) and diabetics (aOR = 3.62 (1.62-8.11)).Conclusion: This study has reported a prevalence of 13.26% of obesity among women selling at Lusonga's market. Marital status, education level, residence, use of oral birth control pills and consumption of fruit and vegetables had a significant association with the prevalence of obesity in this category of women.Keywords: Obesity, risk factors, women, Lubumbash

School-based malaria prevalence: informative systematic surveillance measure to assess epidemiological impact of malaria control interventions in the Democratic Republic of the Congo

Abstract Background In southern Democratic Republic of the Congo, malaria transmission is stable with seasonal fluctuations. Different measurements can be used to monitor disease burden and estimate the performance of control programmes. Repeated school-based malaria prevalence surveys (SMPS) were conducted from 2007 to 2014 to generate up-to-date surveillance data and evaluate the impact of an integrated vector control programme. Methods Biannual SMPS used a stratified, randomized and proportional sampling method. Schools were randomly selected from the entire pool of facilities within each Health Area (HA). Subsequently, school-children from 6 to 12 years of age were randomly selected in a proportional manner. Initial point-of-care malaria diagnosis was made using a rapid detection test. A matching stained blood film was later examined by expert microscopy and used in the final analysis. Data was stratified and analysed based on age, survey time and location. Results The baseline SMPS (pre-control in 2007) prevalence was approximately 77%. From 2009 to 2014, 11,628 school-children were randomly screened. The mean age was 8.7 years with a near equal sex ratio. After exclusion, analysis of 10,493 students showed an overall malaria prevalence ratio of 1.92 in rural compared to urbanized areas. The distribution of Plasmodium falciparum malaria was significantly different between rural and urban HAs and between end of wet season and end of dry season surveys. The combined prevalence of single P. falciparum, Plasmodium malariae and Plasmodium ovale infections were 29.9, 1.8 and 0.3% of those examined, respectively. Only 1.8% were mixed Plasmodium species infections. From all microscopically detected infections (3545 of 10,493 samples examined), P. falciparum represented 88.5%, followed by P. malariae (5.4%) and P. ovale (0.8%). Cases with multiple species represented 5.3% of patent infections. Malaria prevalence was independent of age and gender. Control programme performance contributed to a significant decrease in mean P. falciparum infection density in urban compared to rural locations. Some rural areas remained highly refractory to control measures (insecticide-treated bed nets, periodic indoor residual spraying). Conclusion The SMPS is a useful longitudinal measurement for estimating population malaria prevalence and demonstrating disease burden and impact of control interventions. SMPS can identify refractory areas of transmission and thus prioritize control strategies accordingly