I S Okosun1, R S Cooper, C N Rotimi, B Osotimehin, T Forrester. 1. Department of Preventive Medicine and Epidemiology, Loyola University Stritch School of Medicine, Maywood, Illinois 60153, USA. iokosun@wpo.it.luc.edu
Abstract
OBJECTIVE: Prior studies have supported that waist circumference correlates better with visceral adipose tissue and is a better predictor of cardiovascular disease than are BMI and waist-to-hip ratio. In this study, we reexamine the role of waist size on the risk of hypertension and type 2 diabetes in African-origin populations from three contrasting environments. RESEARCH DESIGN AND METHODS: A cross-sectional survey was conducted of 5,042 men and women 25-74 years of age from Nigeria, Jamaica, and the U.S. The relationship between waist, blood pressure, and fasting blood glucose was assessed using multiple linear regression analyses. Logistic regression analyses using sex-specific empirical waist cut-points were used to determine the risks of hypertension and type 2 diabetes. RESULTS: Waist circumference was positively correlated with blood pressure and fasting blood glucose (P < 0.05). Increasing waist quartiles were significantly associated with higher risks of hypertension in the three populations, as estimated from age-adjusted odds ratios obtained from sex-specific logistic regression models. A highly elevated risk of type 2 diabetes-10-fold for Jamaican men and 23-fold for African-American women-was observed in the comparison of lowest to highest quartiles of waist circumference. CONCLUSIONS: Substantial reduction in hypertension and diabetes in men and women is achievable if the waist size is decreased in these populations. Intervention programs designed to reduce waist circumference through lifestyle modification, including exercise and diet, may have significant public health significance in reducing the incidence of hypertension and adult-onset diabetes in these populations.
OBJECTIVE: Prior studies have supported that waist circumference correlates better with visceral adipose tissue and is a better predictor of cardiovascular disease than are BMI and waist-to-hip ratio. In this study, we reexamine the role of waist size on the risk of hypertension and type 2 diabetes in African-origin populations from three contrasting environments. RESEARCH DESIGN AND METHODS: A cross-sectional survey was conducted of 5,042 men and women 25-74 years of age from Nigeria, Jamaica, and the U.S. The relationship between waist, blood pressure, and fasting blood glucose was assessed using multiple linear regression analyses. Logistic regression analyses using sex-specific empirical waist cut-points were used to determine the risks of hypertension and type 2 diabetes. RESULTS: Waist circumference was positively correlated with blood pressure and fasting blood glucose (P < 0.05). Increasing waist quartiles were significantly associated with higher risks of hypertension in the three populations, as estimated from age-adjusted odds ratios obtained from sex-specific logistic regression models. A highly elevated risk of type 2 diabetes-10-fold for Jamaican men and 23-fold for African-American women-was observed in the comparison of lowest to highest quartiles of waist circumference. CONCLUSIONS: Substantial reduction in hypertension and diabetes in men and women is achievable if the waist size is decreased in these populations. Intervention programs designed to reduce waist circumference through lifestyle modification, including exercise and diet, may have significant public health significance in reducing the incidence of hypertension and adult-onset diabetes in these populations.
Authors: S E Tull; T Wickramasuriya; J Taylor; V Smith-Burns; M Brown; G Champagnie; K Daye; K Donaldson; N Solomon; S Walker; H Fraser; O W Jordan Journal: J Natl Med Assoc Date: 1999-08 Impact factor: 1.798
Authors: E O Okoro; B A Oyejola; E N Etebu; H Sholagberu; P M Kolo; A Chijioke; S A Adebisi Journal: Eat Weight Disord Date: 2013-10-31 Impact factor: 4.652
Authors: M A van der Sande; S M Ceesay; P J Milligan; O A Nyan; W A Banya; A Prentice; K P McAdam; G E Walraven Journal: Am J Public Health Date: 2001-10 Impact factor: 9.308
Authors: Francesco P Cappuccio; Sally M Kerry; Adebowale Adeyemo; Amy Luke; Albert G B Amoah; Pascal Bovet; Myles D Connor; Terrence Forrester; Jean-Pierre Gervasoni; Gisela Kimbally Kaki; Jacob Plange-Rhule; Margaret Thorogood; Richard S Cooper Journal: Epidemiology Date: 2008-01 Impact factor: 4.822
Authors: Saria Hassan; Carol Oladele; Deron Galusha; Oswald Peter Adams; Rohan G Maharaj; Cruz M Nazario; Maxine Nunez; Marcella Nunez-Smith Journal: BMC Public Health Date: 2021-02-25 Impact factor: 4.135
Authors: Brian D Power; Helman Alfonso; Leon Flicker; Graeme J Hankey; Bu B Yeap; Osvaldo P Almeida Journal: PLoS One Date: 2011-03-25 Impact factor: 3.240