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Background: Patients with renal failure have a higher risk or cardiovascular events. However, the prevalence of renal failure in Sub Saharan Africa communities remain poorly documented. Methods: Data were collected between March and April 2013 from 3 regions of the Northern Senegal (i.e., Saint-Louis, Matam et and Louga) using a cluster sampling method and the survey base of the national statistical and demographical agency subjects aged between 18 and 80 years. However, the present study focused on adult populations below 40 years of age. Participants underwent a face-to-face questionnaire to collect demographics and data on cardiovascular history/risk factors. Blood pressure and anthropometric measurements were performed in addition to blood tests including plasma creatinine. Renal failure was defined as a GFR < 60 ml/min/1.73 m 2 using the MDRD method adapted to the African population. Continuous data were reported as mean ± standard deviation (SD). Comparisons used the χ2 test for categorical variables and Student’s t test for continuous variables. Multiple logistic regression was used to identify factors associated with CFI, after considering potential confounders. Covariates with significant association (P Results: Among the 2440 subjects in this study the mean age was 44 ± 15.99, 692 (28%) were male. Among the 1080 participants who were aged less than 40 years old (mean: 31 ± 7.54), 296 (27.4%) were male. Body mass index higher than 25 was present in 32% of the studied population with a significant increase in women (38% vs 15%, p Conclusion: This community-based cross-sectional study showed a low prevalence of renal failure in younger participants in Northern Senegal. Further investigations are needed to assess chronic kidney failure and its determinants.

Background: Metabolic syndrome is known as a predictor of cardiovascular disease (CVD), a leading cause of death globally. The factors that comprise metabolic syndrome are on the rise in Sub-Saharan Africa, and data regarding the prevalence of metabolic syndrome in communities of aged less than 40 years old remain scarce. Methods: Data were collected between March and April 2013 from 3 regions of the Northern Senegal (i.e., Saint-Louis, Matam et and Louga) using a cluster sampling method and the survey base of the national statistical and demographical agency. Subjects aged between 18 and 80 years were recruited, however, the present study focused on adult populations below 40 years of age. Participants underwent a face-to-face questionnaire to collect demographics and data on cardiovascular history/risk factors. Blood pressure (BP) and anthropometric measurements were performed in addition to a blood test measuring fasting triglycerides, high density lipoprotein (HDL) and low-density lipoprotein (LDL) cholesterol, and plasma glucose. Metabolic syndrome was defined as fasting plasma glucose ≥110 mg/dl, serum triglycerides ≥150 mg/dl, serum HDL cholesterol 102 cm in males or >89 cm in females. Comparisons used the χ2 test for categorical variables and Student’s t test for continuous variables. Multiple logistic regression was used to identify factors associated with CFI, after considering potential confounders. Covariates with significant association (P Results: Of the 2,440 subjects recruited, 1080 participants were less than 40 years old and included in the current analysis. The mean age of these participants was 31 ± 7.53I. There were 296 (27%) male participants in our study. . Overall, there were 41 participants (3.8%) with metabolic. For individual components of metabolic syndrome, body mass index of 25 or higher was present in 32% of the population with a significant increase among women (38 vs 15% vs 3,7%, p Conclusion: Our community-based cross-sectional study revealed a low prevalence of metabolic syndrome among younger participants in northern Senegal. However, the prevalence of dyslipidaemia was high.

Background: Diabetes is a major cardiovascular disease (CVD) risk factor. There has been a epidemiological shift and chronic CVD is increasing in Sub-Saharan Africa, however, the extent is unknown. Methods: Data were collected between March and April 2013 from 3 regions of the Northern Senegal (i.e., Saint-Louis, Matam etand Louga) using a cluster sampling method and the survey base of the national statistical and demographical agency, we included subjects aged between 18 and 80 years old. Participants underwent a face-to-face questionnaire to collect demographics and data on cardiovascular history/risk factors. Blood pressure and anthropometric measurements were measured in addition to blood tests including fasting plasma glucose. Diabetes was defined as fasting plasma glucose >= 1.26 g/L. Continuous data were reported as mean ± standard deviation (SD). Comparisons used the chi-squared test for categorical variables and Student’s t test for continuous variables. Multivariable adjusted logistic regression was used to identify factors associated with diabetes. Covariates with significant association (P Results: Among the 2440 subjects in this study (mean age: 44 years old, SD: 15.99), 692 (28%) were male. Nearly half of the sample never attended school (48%, 95%CI: 46-50%). Body mass index (BMI) higher than 25 was present in 43% of the sample (95%CI: 29-35%), with a significant increase in women (51% vs 22%, p Conclusion: This community-based study revealed a low prevalence of diabetes. However, the prevalence of additional CVD risk factors in this population was high. Preventive measures should be implemented to avoid increasing rates of diabetes in Sub-Saharan Africa.