Global Dietary Intake in Relation to the EAT Lancet Commission’s Scientific Targets; Results from the Global Dietary Database 2015
Reedy J, Cudhea F, Miller V, Zhang J, Shi P, Puklin L, Coates J, Micha R, Mozaffarian D. Global Dietary Intake in Relation to the EAT Lancet Commission’s Scientific Targets; Results from the Global Dietary Database 2015. Current Developments In Nutrition 2020, 4: nzaa053_100. PMCID: PMC7258514, DOI: 10.1093/cdn/nzaa053_100.Peer-Reviewed Original ResearchGlobal Dietary DatabaseDietary intakeEAT-LancetPopulation subgroupsWhole grainsDietary databaseNon-starchy vegetablesDietary intake dataActual dietary intakeGlobal dietary patternsIndividual-level dataCountry-level covariatesRural adultsUrban/rural residenceEAT-Lancet CommissionDietary targetsStarchy vegetablesHealthy dietDietary patternsIntake dataDietary factorsEducation levelStratum-specificRed meatPlanetary healthGlobal Intake of Major Beverages in Adults by Country Wealth and Sociodemographic Characteristics: Analysis of the Global Dietary Database 2015
Castor L, Cudhea F, Shi P, Zhang J, Miller V, Reedy J, Puklin L, Karageorgou D, Webb P, Mozaffarian D, Micha R. Global Intake of Major Beverages in Adults by Country Wealth and Sociodemographic Characteristics: Analysis of the Global Dietary Database 2015. Current Developments In Nutrition 2020, 4: nzaa053_063. PMCID: PMC7258132, DOI: 10.1093/cdn/nzaa053_063.Peer-Reviewed Original ResearchSugar-sweetened beveragesIntake of sugar-sweetened beveragesLower-middle income countriesHigh-income countriesUrban-rural residenceLow-income countriesGlobal Dietary DatabaseHigher education levelEducation levelUrban residentsDietary databaseIndividual-level intakesUrban-rural differencesIndividual-level dataBeverage intakeSociodemographic characteristicsIntake dataCoffee intakeSubnational surveysTea intakeMean intakeIncome countriesAge groupsWealth categoriesResidents