Authors : Kwadjo Anicet Luc Dere, Kwadjo Anicet Luc Dere, Agnon Prisca Djoupo, Agnon Prisca Djoupo, Coulibaly Djenebou, Coulibaly Djenebou, Fofana Seguenan, Fofana Seguenan, Gnomblesson Georges Tiahou, Gnomblesson Georges Tiahou
DOI : 10.18231/j.ijcbr.2022.028
Volume : 9
Issue : 2
Year : 2022
Page No : 141-147
Introduction: In West Africa, the various types of diabetes according to WHO or the American Diabetes Association (ADA) are endemic; however, a particular type referred to as atypical ketosis-prone diabetes mellitus requires specific attention.
Methodology: We implemented a case-control study including 101 cases versus 89 controls. Controls are people living in apparent good health and patients are diabetics newly diagnosed and attended hospitals for the first time. We included socio-demographic and anthropometric informations, some questions about dietary habits of participants. We tested fasting plasma glucose and HbAC according to manufacturer’s instructions.
Results: Dietary diversification was lower in patients with less of 10% having a good dietary diversity. Correlation tests showed a significant statistical link in relation with waist circumference and body mass index in accordance with glycaemia in patients newly diagnosed diabetics. Wenoted adecreasing of mean value of glycaemia in overweight or obese patients, otherwise, the fat gaining was marked as glycaemia lowering. This trend has been related in correlation with HbA1C in patients without significant statistical correlation. We also notified a significant link between amount of diet usually ingested by controls and the variation of HbA1C.
Conclusion: It clearly appears that lifestyle has certainly an impact in the occurrence of metabolic diseases in overall and on diabetes in particular. There is a close link between these diseases with genetic or family predisposition. It seems urgent to act upstream to prevent such diseases living as a burden for our deprived population.
Keywords: Controls, Lifestyle, Ketosis, Prone diabetes, Socio-anthropometric features.