Sex Related Cardiovascular Diseases Risk in Saint- Louis Populations, Northern Region of Senegal


  • Gaston Berger University, Department of Food Technology, Saint-Louis, Senegal
  • El-Hadji Ibrahima Niass University, Faculty of Nutrition and Food Sciences, Kaolack, Senegal
  • Gaston Berger University, Faculty of Health Science, Saint-Louis, Senegal


Cardiovascular diseases (CVD) represent a challenging health issue in the 21st century. Data from sub-Saharan African populations are insufficient. The objective of this study was to compare prevalence of risk factors of CVD between men and women. The study was a community-based survey for a sample of 1056 persons. Mean age of participants was 47.97±16.90 years with 46.40±19.10 years for men and 48.92±15.33 years for women. Based on anthropometric parameters women constitute more vulnerable to cardiovascular diseases. Women also presented higher body cholesterol and the highest prevalence of diabetes compared to men. In conclusion, the study showed a sex-difference risk of CVD among Senegalese populations and women were shown more likely to present higher risk of CVD.


Cardiovascular diseases, anthropometric parameters, sex, cholesterol

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Guariguata, L., Whiting, D.R., Hambleton, I., Beagley, J., Linnenkamp, U. and Shaw, J.E. Global estimates of diabetes prevalence for 2013 and projections for 2035, Diabet.Res. Clin. Pract., 2014, 103, 137–149.

Kengne, A.P., Echouffo-Tcheugui, J.B., Sobngwi, E. and Mbanya, J.C. New insights on diabetes mellitus and obesity in Africa-part 1: prevalence, pathogenesis and comorbidities, Heart, 2013, 99, 979–983.

Hall, V., Thomsen, R.W., Henriksen O. and Lohse, N. Diabetes in Sub Saharan Africa 1999-2011: epidemiology and public health implications. A systematic review, BMC Public Health, 2011, 11, 564.

Seck, S. M., Dia, D.G., Doupa, D., Diop-Dia, A., Thiam, I., Ndong, M. and Gueye, L.

Diabetes burden in urban and rural Senegalese populations: A cross-sectional study in 2012. Int. J. Endocrinol.. 2015, Article ID 163641, 1–6.

Pessinaba, S., Mbaye, A., Yabeta, G.A., Kane, A., Ndao, C.T., Ndiaye, M.B., Harouna, H., Bodian, M., Diao, M., Mbaye, M.N., Diagne, M.N., Diack, B., Kane, M., Niang, K., Mathieu, J.B. and Kane, A. Prevalence and determinants of hypertension and associated cardiovascular risk factors: data from a population-based, cross-sectional survey in SaintLouis, Senegal, Cardiovas. J. Africa, 2013, 24, 180–183.

Iburg, K.M. Global, regional and national comparative risk assessment of 84 behavioral, environmental and occupational and metabolic risks or clusters of risks, 1990–2016: A systematic analysis for the global burden of disease study 2016. Lancet, 2017, 390, 1345–1422.

Hoare, E., Dash, S.R., Jennings, G.L. and Bronwyn, A. Kingwell, B.A. Sex- specific associations in nutrition and activity-related risk factors for chronic disease: Australian evidence from childhood to emerging adulthood. Int. J. Environ. Res. Public Health, 2018, 15, 214.

Chobanian, A.V., Bakris, G.L., Black, H.R., Cushman, W.C., Green, L.A., Izzo, J.L. Jr, Jones, D.W., Materson, B.J., Oparil, S., Wright, J.T. Jr, Roccella, E.J., National heart, lung and blood institute joint national committee on prevention, detection, evaluation andtreatment of high blood pressure and national high blood pressure education program coordinating committee. “The seventh report of the joint national committee on prevention, detection, evaluation and treatment of high blood pressure: the JNC 7 report, Hypertension, 2003, 42, 1206–1252.

International Diabetes Federation, The IDF Worldwide Definition of the Metabolic Syndrome, International Diabetes Federation, Brussels, Belgium, 2006, webdata/ docs/IDF Meta def final.pdf.

Ji, M., Zhang, S. and An, R. Effectiveness of A Body Shape Index (ABSI) in predicting chronic diseases and mortality: a systematic review and meta-analysis. Obes. Rev.2018, 19, 737-759.

Sato, Y., Fujimoto, S., Konta, T., Iseki, K., Moriyama, T., Yamagata, K., Tsuruya, K., Narita, I., Kondo, M., Kasahara, M., Shibagaki, Y., Asahi, K. and Watanabe, T. Body shape index: Sex-specific differences in predictive power for all-cause mortality in the Japanese population. PLoS One, 2017, 12, 1-14.

Morita, A. and Ishigaki Y. Gender-difference in diabetes mellitus. Nihon Rinsho. 2015, 73, 606-610.

Matthan, N.R., Zhu, L., Pencina, M., D’Agostino,R. B., Schaefer, E. J. and Lichtenstein, A. H. Sex specific differences in the predictive value of cholesterol homeostasis markers and 10 year cardiovascular disease event rate in framingham offspring study participants.J. Am. Heart Assoc., 2013, 2.

Berger, S., Raman, G., Vishwanathan, R., Jacques, P.F. and Johnson, E.J. Dietary cholesterol and cardiovascular disease: a systematic review and meta-analysis. Am. J.Clin. Nutr. 2015, 102, 276-294.

Ritter, M.A., Rohde, A., Heuschmann, P.U., Dziewas, R., Stypmann, J., Nabavi, D.G.and Ringelstein, B.E. Heart rate monitoring on the stroke unit. What does heart beat tell about prognosis? An observational study. BMC. Neurol., 2011, 11, 47.

Messow, C., Gärtner, K., Hackbarth, H., Kangaloo, M. and Lünebrink, L. Sex differences in kidney morphology and glomerular filtration rate in mice. Contrib. Nephrol., 1980, 19, 51-55.

Low, T.T., Chan, S.P., Wai, S.H., Ang, Z., Kyu, K., Lee, K.Y., Ching, A., Comer, S., Tan, N. Q. P., Thong, E.G.H.E., Nang, T., Dutta, M. and Lam, C.S.P. (2018). The women’s heart health programme: a pilot trial of sex-specific cardiovascular management.BMC Womens Health, 2018, 18, 56.


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