A global database of food and nutrient consumption

Khatibzadeh, Shahab; Kashaf, Michael Saheb; Micha, Renata; Fahimi, Saman; Shi, Peilin; Elmadfa, Ibrahim; Kalantarian, Shadi; Wirojratana, Pattra; Ezzati, Majid; Powles, John; Mozaffarian, Dariush

doi:10.2471/blt.15.156323

Cited by 38 publications

(41 citation statements)

References 8 publications

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“…Thus, the characterized RR’s are accurate for the listed serving size. For populations with smaller or larger serving sizes, the RR’s should be appropriately adjusted. 2 Based on nationally representative, individual-level dietary surveys using optimal dietary metrics among both adult men and women in our 2010 NutriCoDE Global Dietary Database [27–31] and other sources [32]; adjusted to 2000 kcal/d. 3 For an average intake of 2,000 kcal/d. 4 For an average energy intake of 2,000 kcal/d. The optimal mean levels for the population were determined based on risk (observed levels at which lowest disease risk occurs), feasibility (observed national consumption levels globally), and consistency (with other assessments in major dietary guidelines) [33, 34].…”

Section: Resultsmentioning

confidence: 99%

Etiologic effects and optimal intakes of foods and nutrients for risk of cardiovascular diseases and diabetes: Systematic reviews and meta-analyses from the Nutrition and Chronic Diseases Expert Group (NutriCoDE)

et al. 2017

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BackgroundDietary habits are major contributors to coronary heart disease, stroke, and diabetes. However, comprehensive evaluation of etiologic effects of dietary factors on cardiometabolic outcomes, their quantitative effects, and corresponding optimal intakes are not well-established.ObjectiveTo systematically review the evidence for effects of dietary factors on cardiometabolic diseases, including comprehensively assess evidence for causality; estimate magnitudes of etiologic effects; evaluate heterogeneity and potential for bias in these etiologic effects; and determine optimal population intake levels.MethodsWe utilized Bradford-Hill criteria to assess probable or convincing evidence for causal effects of multiple diet-cardiometabolic disease relationships. Etiologic effects were quantified from published or de novo meta-analyses of prospective studies or randomized clinical trials, incorporating standardized units, dose-response estimates, and heterogeneity by age and other characteristics. Potential for bias was assessed in validity analyses. Optimal intakes were determined by levels associated with lowest disease risk.ResultsWe identified 10 foods and 7 nutrients with evidence for causal cardiometabolic effects, including protective effects of fruits, vegetables, beans/legumes, nuts/seeds, whole grains, fish, yogurt, fiber, seafood omega-3s, polyunsaturated fats, and potassium; and harms of unprocessed red meats, processed meats, sugar-sweetened beverages, glycemic load, trans-fats, and sodium. Proportional etiologic effects declined with age, but did not generally vary by sex. Established optimal population intakes were generally consistent with observed national intakes and major dietary guidelines. In validity analyses, the identified effects of individual dietary components were similar to quantified effects of dietary patterns on cardiovascular risk factors and hard endpoints.ConclusionsThese novel findings provide a comprehensive summary of causal evidence, quantitative etiologic effects, heterogeneity, and optimal intakes of major dietary factors for cardiometabolic diseases, informing disease impact estimation and policy planning and priorities.

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Section: Resultsmentioning

confidence: 99%

Etiologic effects and optimal intakes of foods and nutrients for risk of cardiovascular diseases and diabetes: Systematic reviews and meta-analyses from the Nutrition and Chronic Diseases Expert Group (NutriCoDE)

et al. 2017

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“…James Bentham 1 *, Gitanjali M Singh 2 , Goodarz Danaei 3,4 , Rosemary Green 5,6 , John K Lin 7,8 , Gretchen A Stevens 9 , Farshad Farzadfar 10 , James E Bennett 11,12,13 , Mariachiara Di Cesare 14 , Alan D Dangour 5,6 and Majid Ezzati 11,12,13,15 Food systems are increasingly globalized and interdependent, and diets around the world are changing. Characterization of national food supplies and how they have changed can inform food policies that ensure national food security, support access to healthy diets and enhance environmental sustainability.…”

Section: Multidimensional Characterization Of Global Food Supply Frommentioning

confidence: 99%

“…he past half-century has seen economic growth, urbanization, advances in technologies for agriculture and food production, food processing and storage, and an increasingly powerful and globalized food industry-all of which has led to profound changes in national and regional food systems [1][2][3] . A number of studies have reported trends over time in the global supply and/or consumption of individual foods and nutrients and in the diversity of foods supplied at national, regional and global levels [4][5][6][7][8][9][10][11][12][13][14] . Few of these studies, however, represent the totality of food supply patterns; those that considered multiple foods 7,11,12,15,16 have not accounted formally for the interdependencies between the demand for and supply of different foods.…”

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confidence: 99%

Multidimensional characterization of global food supply from 1961 to 2013

et al. 2020

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“…Even modest dietary changes are associated with improvements in maternal and child undernutrition and micronutrient deficiencies [ 9 – 13 ], as well as meaningful reductions in NCDs [ 14 – 17 ]. Based on the crucial role of nutrition in health, a better understanding of patterns and distributions of dietary habits globally is critical to inform and establish dietary priorities and improvement goals [ 6 , 18 ].…”

Section: Introductionmentioning

confidence: 99%

Assessing dietary intakes from household budget surveys: A national analysis in Bangladesh

et al. 2018

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BackgroundAccurate national information on dietary intakes, including heterogeneity among individuals, is critical to inform health implications and policy priorities. In low- and middle-income countries, household expenditure surveys constitute the major source of food data, but with uncertain validity for individual-level intakes.ObjectiveTo investigate how individualized dietary consumption estimated from household survey data compared with individual-level 24-hr dietary recalls (24hR); and to assess potential heterogeneity by method for individualizing household intakes, dietary indicator, and individual characteristics (age, sex, education, religion, household income).MethodsWe evaluated data from the 2011–2012 Bangladesh Household Integrated Survey (BIHS), which included household-level consumption data (5,503 households) and individual-level dietary data based on 24hR from these households (22,173 participants). Household and 24hR estimates were standardized and harmonized for 33 dietary indicators, including 9 food groups, total energy, 8 macronutrients, and 15 micronutrients. Individual consumption was estimated from household data using two approaches, the Adult Male Equivalent (AME) and per capita (PC) approach. For each dietary indicator, differences in household vs. individual mean estimates were evaluated overall and by strata of individual characteristics, using Spearman’s correlations and univariate and multivariate linear regression models.ResultsIndividualized household estimates overestimated individual intakes from 24hR for all dietary factors using either estimation method (P<0.001 for each), except for starchy vegetables (AME: P = 0.15; PC: P = 0.85). For foods, overestimation ranged from 4% for seafood to about 240% for fruits, and for nutrients from 11% for carbohydrates and poly-unsaturated fats to 55% for vitamin C, with similar overestimation for the AME and the PC method. By strata, overestimation was modestly higher in men vs. women, in children (0-10y) vs. adolescents (11-19y) and adults (20-44y, ≥45y), among adults of higher (≥6y) vs. lower (<6y) education, in Muslims vs. other religions (Christians, Hindus), and for the lowest vs. all other income groups. This overestimation was notably higher in young children (0-5y) vs. all other age groups and in the lowest vs. all other income groups. Underestimation was rarely observed, for example for milk intake (-56%) in young children (0-5y). The PC approach did not capture heterogeneity in validity of estimation of different dietary factors by age, mainly in children (0-5y, 6-10y). Spearman's correlations between individualized household estimates and 24hR data were higher for the AME (0.30–0.70) than PC (0.20–0.50) approach. Findings were similar with and without multivariate regression, with proportions of variance (R2) in 24hR intakes explained by the AME being generally greater than PC estimates, yet still low to modest.ConclusionsIn this national survey, established methods for estimating individual level intakes from household surve...

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A global database of food and nutrient consumption

Cited by 38 publications

References 8 publications

Etiologic effects and optimal intakes of foods and nutrients for risk of cardiovascular diseases and diabetes: Systematic reviews and meta-analyses from the Nutrition and Chronic Diseases Expert Group (NutriCoDE)

Etiologic effects and optimal intakes of foods and nutrients for risk of cardiovascular diseases and diabetes: Systematic reviews and meta-analyses from the Nutrition and Chronic Diseases Expert Group (NutriCoDE)

Multidimensional characterization of global food supply from 1961 to 2013

Assessing dietary intakes from household budget surveys: A national analysis in Bangladesh

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