Abstract MP045: Global and Regional Consumption of Major Food Groups in 1990 and 2005: Systematic Analysis of Country-Specific Nutrition Surveys Worldwide.
Background: Food-based research and policy recommendations are highly relevant in the modern era to understand and reduce the pandemics of chronic disease occurring in nearly all nations. Unfortunately, reliable and systematically assessed individual consumption data (as opposed to disappearance data) on food habits and trends have not been available on a global scale. Objective: To produce comprehensive data on consumption of major foods and their uncertainties by country, region, age, and sex in 1990 and 2005. Methods. We developed methods to identify, assess, and obtain exposure data (mean, SD) by age and sex from nationally representative diet surveys worldwide on fruits, vegetables, legumes, nuts/seeds, whole grains, seafood, red meats, processed meats, milk, and sugar-sweetened beverages. To address missing data and estimate mean intake, we developed and applied a multi-level hierarchical imputation Bayesian model that accounted for country- and region-level data, measurement comparability, study representativeness, and diet assessment method. Time-varying country-level covariates were used to inform estimates, including FAO food availability data, population, GDP, latitude, metabolic risks, and other diet covariates. Uncertainty of the estimates accounted for uncertainty from sampling and statistical modeling. Results: We obtained relevant data (85% by direct author contact) from 165 nationally and 40 non-nationally representative surveys from 109 countries in 20 regions, covering 79% of the global population. Data were most frequently available for fruits and vegetables (Figure). Findings for other foods will be presented at the meeting. Conclusions: Our systematic analysis of representative country-specific nutrition surveys on a global scale has produced estimates of the exposure distribution of major foods by age, sex, country, region, and time period. Such global assessment is crucial to estimate the impact of diet on chronic diseases worldwide.