Sugar consumption and global prevalence of obesity and hypertension: An ecological analysis

Abstract Objective The nutrition transition model provides an integrated approach to analyse global changes in food consumption and lifestyle patterns. Whether variability in food availability for consumption, lifestyle and sociodemographic factors is associated with the worldwide prevalence distribution of overweight, obesity and hypertension is unclear. Design Ecological analysis. Setting Country-specific prevalence estimates of overweight, obesity and hypertension were obtained. Prevalence estimates were then matched to year- and country-specific food and energy availability for consumption of cereals, sugar, sweeteners and honey, vegetable oils, fruits, starchy roots, pulses, total vegetables, alcoholic beverages, total meat, animal fat, eggs, milk, and fish and seafood. The per capita Gross Domestic Product (GDP), urbanization rates and prevalence of physical inactivity for each country were also obtained. Subjects The overweight, obesity and hypertension databases included information from 128, 123 and seventy-nine countries, respectively. Results Consumption of sugar and animal products were directly associated with GDP and urbanization rates. In a multivariate regression model, physical inactivity (B = 0·01, se = 0·005, P = 0·003), cereal consumption (B = -0·02, se = 0·006, P < 0·001) and sugar consumption (B = 0·03, se = 0·01, P = 0·03) were significant predictors of obesity prevalence. Midpoint age (B = 0·21, se = 0·10, P = 0·02), prevalence of overweight (B = 0·18, se = 0·08, P = 0·02) and consumption of cereals (B = -0·22, se = 0·10, P = 0·02) were significant predictors of hypertension. Women appeared to have a significant obesity excess compared with men. Conclusions High sugar consumption and sedentary lifestyle are associated with increased obesity prevalence. The non-linear association of sugar consumption with prevalence of obesity suggests that effective strategies to reduce its consumption may have differential effects in countries at different stages of the nutrition transition. © The Authors 2013.