The Impact of Suboptimal Diet on Type 2 Diabetes at Global, Regional, National, and Sub-National Levels: A Comparative Risk Assessment Analysis
O’Hearn M, Singh G, Cudhea F, Miller V, Zhang J, Shi P, Reedy J, Puklin L, Micha R, Mozaffarian D. The Impact of Suboptimal Diet on Type 2 Diabetes at Global, Regional, National, and Sub-National Levels: A Comparative Risk Assessment Analysis. Current Developments In Nutrition 2020, 4: nzaa053_082. PMCID: PMC7257637, DOI: 10.1093/cdn/nzaa053_082.Peer-Reviewed Original ResearchSugar-sweetened beveragesPopulation attributable fractionGlobal Dietary DatabaseSuboptimal dietT2D incidenceIntake of sugar-sweetened beveragesType 2 diabetesMeta-analyses of prospective cohort studiesLow intake of whole grainsWhole grainsGlobal Burden of Disease StudyBurden of type 2 diabetesEtiologic effectsBurden of Disease StudyIntake of whole grainsComparative risk assessment frameworkBurden of T2DPublic health interventionsHigh-income countriesProspective cohort studyUnprocessed red meatAttributable fractionAttributable burdenHealth interventionsT2D casesDiet Quality and Mortality, Stunting and Wasting 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, Micha R, Coates J, Mozaffarian D. Diet Quality and Mortality, Stunting and Wasting in Children Aged 6–59 Months: An Ecological Analysis from the Global Dietary Database. Current Developments In Nutrition 2020, 4: nzaa061_082. PMCID: PMC7259310, DOI: 10.1093/cdn/nzaa061_082.Peer-Reviewed Original ResearchDisability-adjusted life yearsGlobal Dietary DatabaseDASH scoreIncreased risk of overweight/obesityDietary databaseGlobal Burden of Disease StudyBurden of Disease StudyAssociated with overweight/obesityRisk of overweight/obesityChild minimum dietary diversityAged 6Burden of malnutritionCross-sectional associationsMinimum dietary diversityPoisson regression modelsWorld Bank’s World Development IndicatorsChild growth outcomesChildren aged 6Risk of deathDiet qualityNational intakeDietary dataWorld Development IndicatorsOverweight/obesityCountry-level dataGlobal Plant-Based Food Intakes by Country Wealth and Socioeconomic Status: Findings from the Global Dietary Database
Karageorgou D, Cudhea F, Reedy J, Puklin L, Miller V, Zhang J, Shi P, Castor L, Coates J, Webb P, Mozaffarian D, Micha R. Global Plant-Based Food Intakes by Country Wealth and Socioeconomic Status: Findings from the Global Dietary Database. Current Developments In Nutrition 2020, 4: nzaa053_055. PMCID: PMC7257989, DOI: 10.1093/cdn/nzaa053_055.Peer-Reviewed Original ResearchLower-middle income countriesUpper-middle income countriesGlobal Dietary DatabasePopulation socioeconomic statusSocioeconomic statusHigher incomeIntake of non-starchy vegetablesIncome countriesDietary databaseHigher vegetable consumptionIndividual-level intakesIntake of fruitsNon-starchy vegetablesUrban-rural residenceVegetable consumptionFruit intakeEstimated mean intakeLower educationPlant-based foodsGrain intakePF intakeRural residentsCharacterize inequitiesSubnational surveysMean intakeGlobal, Regional, and National Animal and Plant Source Food Intake Among Adolescents Ages 11–19 Years in 2015: An analysis from the Global Dietary Database
Puklin L, Cudhea F, Shi P, Zhang J, Reedy J, Miller V, Coates J, Webb P, Micha R, Mozaffarian D. Global, Regional, and National Animal and Plant Source Food Intake Among Adolescents Ages 11–19 Years in 2015: An analysis from the Global Dietary Database. Current Developments In Nutrition 2020, 4: nzaa053_093. PMCID: PMC7257678, DOI: 10.1093/cdn/nzaa053_093.Peer-Reviewed Original ResearchPlant-source foodsAnimal source foodsGlobal Dietary DatabaseDietary intakeEstimated mean dietary intakesDietary databaseNon-starchy vegetablesMean dietary intakeAdolescent ageAnimal source food intakeUnprocessed red meatSource foodsMean intakeStarchy vegetablesDietary recommendationsBehavior in adulthoodInfants/young childrenFood intakeDietary prioritiesHigh-income countriesAge of adolescentsDiet qualityCountry-level covariatesUrban/rural residenceUnprocessed meatGlobal 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