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 healthAnimal Source Food Intake and Growth Outcomes in Children Aged 6–59 Months: An Ecological Analysis from the Global Dietary Database
Miller V, Webb P, Cudhea F, Zhang J, Shi P, Reedy J, Puklin L, Coates J, Micha R, Mozaffarian D. Animal Source Food Intake and Growth Outcomes in Children Aged 6–59 Months: An Ecological Analysis from the Global Dietary Database. Current Developments In Nutrition 2020, 4: nzaa061_081. PMCID: PMC7258874, DOI: 10.1093/cdn/nzaa061_081.Peer-Reviewed Original ResearchDisability-adjusted life yearsUnder-5 mortalityGlobal Dietary DatabaseChildren aged 6Animal source foodsAnimal source food intakeAged 6Associated with disability-adjusted life yearsDietary databaseGlobal Burden of Disease StudyBurden of Disease StudyAssociated with underweightSex-specific strataCross-sectional associationsPoisson regression modelsP-value <Cross-sectional natureEstimated mean intakeUnder-5Intake dataGrowth outcomesGlobal burdenMean intakeIntake of animal source foodsOverweight/obesityGlobal 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