Anastase DZUDIE1,2,3 , Nelson V. NJEDOCK S.1,2,3 Armel NJOMOU4 , Calypse NGWASIRI2 , Martin MEH GEH5, Marcel AZABJI1 , Alain CHICHOM MEFIRE6, Alfred NJAMNSHI1 , Samuel KINGUE1 Laurent S. ETOUNDI NGOA1, Andre Pascal KENGNE7
1Faculty of Medicine and Biomedical Sciences, University of Yaounde 1 ; 2Clinical Research Education Networking and Consultancy (CRENC) ; 3Service of Internal Medicine and Subspecialties, Douala General Hospital ; 4Service of Internal Medicine, Hopital Laquintinie, Douala, Cameroon.
Region of your Institution ; 5St Mary Soledad Catholic Hospital, Alakuma, Bamenda ; 6Faculty of Health Sciences, University of Buea. 7Non Communicable Diseases Research Unit, Medical Research Council, South Africa.
CaHReF 2018, Yaoundé Congres hall, 08 – 11 January 2019 , OAU051
Background: Assessment of obesity in clinical practice is based on anthropometric measurements that are surrogate markers of the quantity of adipose tissue. Precise criteria for the identification of cardiovascular health risk to help direct prevention and intervention strategies are crucial in medical practice to reduce the burden of disease.
Objectif: We investigated how seven anthropometric measures of adiposity relate with each other and with blood pressure (BP) and compared their ability to discriminate High bloodpressure.
Methodology: This study was cross-sectional and analytic, conducted in May 2017. Data was collected as a global contribution to the May Measurement Month 2017(MMM17) and the database for Cameroon was used for this study. We included non-pregnant adult participants with no health personnel diagnosed hypertension. Logistic regression models were used to compute odds ratios (OR) and 95% confidence intervals (95%CI) for the risk of screen detected high blood pressure. Assessment and comparison of discrimination used the area under the receiver operating characteristics curve (AUC).
Results: In all, 14424 participants were included. The Pearson's correlation coefficient between Body mass index (BMI) and WaistCircumference (WC) was 0.51 in males and 0.62 in females; while that between BMI and Waist-to-Height Ratio (WHtR) was 0.69 in males and 0.71 in females, and that between BMI and body roundness index (BRI) was 0.72 in males and 0.73 in females. The Pearson's correlation coefficient between BP and WC, WHtR and BRI was r ?0.2. WC, WHtR and BRI had a stronger association and were superior predictors of hypertension at cut-offs of 92.6cm and 91.5cm, 0.51 and 0.59, 3.629 and 5.136 for males and females respectively.
Conclusion/Recommandation:WHtR, WC and BRI were strongly associated with blood pressure and better predicted hypertension risk. Adding BMI to WHtR and BRI improved their prediction. We recommend that measures of central obesity (WC, WHtR and BRI) be used preferentially to measures of overall obesity as first line screening tools for hypertension risk and ideally in combination with BMI.
Key Words: Hypertension, Adiposity, ROC Curve, Cameroon