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Global, regional, and national consumption of animal-source foods between 1990 and 2018: findings from the Global Dietary Database

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Miller V., Reedy J., Cudhea F., Zhang J., Shi P., Erndt-Marino J., Coates J., Micha R., Webb P., Mozaffarian D., Abbott P., Abdollahi M., Abedi P., Abumweis S., Adair L., Al Nsour M., Al-Daghri N., Al-Hamad N., Al-Hooti S., Al-Zenki S., Alam I., Ali J.H., Alissa E., Anderson S., Anzid K., Arambepola C., Arici M., Arsenault J., Asciak R., Barbieri H.E., Barengo N., Barquera S., Bas M., Becker W., Beer-Borst S., Bergman P., Biró L., Boindala S., Bovet P., Bradshaw D., Bukhary N.B., Bundhamcharoen K., Caballero M., Calleja N., Cao X., Capanzana M., Carmikle J., Castetbon K., Castro M., Cerdena C., Chang H.-Y., Charlton K., Chen Y., Chen M.F., Chiplonkar S., Cho Y., Chuah K.-A., Costanzo S., Cowan M., Damasceno A., Dastgiri S., De Henauw S., DeRidder K., Ding E., Dommarco R., Don R., Duante C., Duleva V., Duran Aguero S., Ekbote V., El Ati J., El Hamdouchi A., El-kour T., Eldridge A., Elmadfa I., Esteghamati A., Etemad Z., Fadzil F., Farzadfar F., Fernandez A., Fernando D., Fisberg R., Forsyth S., Gamboa-Delgado E., Garriguet D., Gaspoz J.-M., Gauci D., Geleijnse M., Ginnela B., Grosso G., Guessous I., Gulliford M., Gunnarsdottir I., Hadden W., Hadziomeragic A., Haerpfer C., Hakeem R., Haque A., Hashemian M., Hemalatha R., Henjum S., Hinkov H., Hjdaud Z., Hoffman D., Hopping B., Houshiar-rad A., Hsieh Y.-T., Hung S.-Y., Huybrechts I., Hwalla N.C., Ibrahim H.M., Ikeda N., Illescas-Zarate D., Inoue M., Janakiram C., Jayawardena R., Jeewon R., Jitnarin N., Johansson L., Jonsdottir O., Jundishapur A., Kally O., Kandiah M., Karupaiah T., Keinan-Boker L., Kelishadi R., Khadilkar A., Kim C.-I., Koksal E., Konig J., Korkalo L., Koster J., Kovalskys I., Krishnan A., Kruger H., Kuriyan-Raj R., Kweon S., Lachat C., Lai Y., Lanerolle P., Laxmaiah A., Leclercq C., Lee M.-S., Lee H.-J., Lemming E.W., Li Y., Lindström J., Ling A., Liputo N.I., Lopez-Jaramillo P., Luke A., Lukito W., Lupotto E., Ma Y., Mahdy Z.A., Malekzadeh R., Manan W., Marchioni D., Marques L.L., Marques-Vidal P., Martin-Prevel Y., Mathee A., Matsumura Y., Mazumdar P., Memon A., Mensink G., Meyer A., Mirmiran P., Mirzaei M., Misra P., Misra A., Mitchell C., Mohamed H.J., Mohammadi-Nasrabadi F., Mohammadifard N., Moy F.M., Musaiger A., Mwaniki E., Myhre J., Nagalla B., Naska A., Ng S.A., Ng S.W., Ngoan L.T., Noshad S., Ochoa A., Ocke M., Odenkirk J., Oh K., Oleas M., Olivares S., Orfanos P., Ortiz-Ulloa J., Otero J., Ovaskainen M.-L., Pakseresht M., Palacios C., Palmer P., Pan W.-H., Panagiotakos D., Parajuli R., Park M., Pekcan G., Petrova S., Piaseu N., Pitsavos C., Polasa K., Posada L., Pourfarzi F., Preston A.M., Rached I., Rahbar A.R., Rehm C., Richter A., Riley L., Salanave B., Sánchez-Romero L.M., Sarrafzadegan N., Sawada N., Sekiyama M., Selamat R., Shamsuddin K., Shariff Z.M., Sharma S., Sibai A.M., Sinkko H., Sioen I., Sisa I., Skeaff S., Steingrimsdottir L., Strand T., Suarez-Ortegon M.F., Swaminathan S., Swan G., Sygnowska E., Szabo M., Szponar L., Tan-Khouw I., Tapanainen H., Tayyem R., Tedla B., Tedstone A., Templeton R., Termote C., Thanopoulou A., Thorgeirsdottir H., Thorsdottir I., Trichopoulos D., Trichopoulou A., Tsugane S., Turrini A., van Oosterhout C., Vartiainen E., Veerman J.L., Virtanen S., Vollenweider P., Vossenaar M., Waidyatilaka I., Waskiewicz A., Waterham E., Wieler L., Wondwossen T., Wu S., Yaakub R., Yap M., Yusof S., Zaghloul S., Zajkás G., Zapata M., Zarina K., Zohoori F.V., Global Dietary Database
Fecha
2022
Language
en
DOI
10.1016/S2542-5196(21)00352-1
Materia
yoghurt
adolescent
adult
aged
Article
caloric intake
cheese
clinical assessment
cohort analysis
controlled study
dietary intake
educational status
egg
female
food handling
food intake
Germany
groups by age
health care policy
health survey
human
India
male
middle aged
milk
population structure
portion size
processed meat
rural population
Russian Federation
sea food
sex difference
Tanzania
United Kingdom
urban population
validation study
very elderly
whole food
animal
Bayes theorem
diet
meat
United States
Animals
Bayes Theorem
Diet
Germany
Humans
India
Meat
United States
Elsevier B.V.
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Resumen
Background: Diet is a major modifiable risk factor for human health and overall consumption patterns affect planetary health. We aimed to quantify global, regional, and national consumption levels of animal-source foods (ASF) to inform intervention, surveillance, and policy priorities. Methods: Individual-level dietary surveys across 185 countries conducted between 1990 and 2018 were identified, obtained, standardised, and assessed among children and adults, jointly stratified by age, sex, education level, and rural versus urban residence. We included 499 discrete surveys (91·2% nationally or subnationally representative) with data for ASF (unprocessed red meat, processed meat, eggs, seafood, milk, cheese, and yoghurt), comprising 3·8 million individuals from 134 countries representing 95·2% of the world population in 2018. We used Bayesian hierarchical models to account for differences in survey methods and representativeness, time trends, and input data and modelling uncertainty, with five-fold cross-validation. Findings: In 2018, mean global intake per person of unprocessed red meat was 51 g/day (95% uncertainty interval [UI] 48–54; region-specific range 7–114 g/day); 17 countries (23·9% of the world's population) had mean intakes of at least one serving (100 g) per day. Global mean intake of processed meat was 17 g/day (95% UI 15–21 g/day; region-specific range 3–54 g/day); seafood, 28 g/day (27–30 g/day; 12–44 g/day); eggs, 21 g/day (18–24 g/day; 6–35 g/day); milk 88 g/day (84–93 g/day; 45–185 g/day); cheese, 8 g/day (8–10 g/day; 1–34 g/day); and yoghurt, 20 g/day (17–23 g/day; 7–84 g/day). Mean national intakes were at least one serving per day for processed meat (≥50 g/day) in countries representing 6·9% of the global population; for cheese (≥42 g/day) in 2·3%; for eggs (≥55 g/day) in 0·7%; for milk (≥245 g/day) in 0·3%; for seafood (≥100 g/day) in 0·8%; and for yoghurt (≥245 g/day) in less than 0·1%. Among the 25 most populous countries in 2018, total ASF intake was highest in Russia (5·8 servings per day), Germany (3·8 servings per day), and the UK (3·7 servings per day), and lowest in Tanzania (0·9 servings per day) and India (0·7 servings per day). Global and regional intakes of ASF were generally similar by sex. Compared with children, adults generally consumed more unprocessed red meat, seafood and cheese, and less milk; energy-adjusted intakes of other ASF were more similar. Globally, ASF intakes (servings per week) were higher among more-educated versus less-educated adults, with greatest global differences for milk (0·79), eggs (0·47), unprocessed red meat (0·42), cheese (0·28), seafood (0·28), yoghurt (0·22), and processed meat (0·21). This was also true for urban compared to rural areas, with largest global differences (servings per week) for unprocessed red meat (0·47), milk (0·38), and eggs (0·20). Between 1990 and 2018, global intakes (servings per week) increased for unprocessed red meat (1·20), eggs (1·18), milk (0·63), processed meat (0·50), seafood (0·44), and cheese (0·14). Interpretation: Our estimates of ASF consumption identify populations with both lower and higher than optimal intakes. These estimates can inform the targeting of intervention, surveillance, and policy priorities relevant to both human and planetary health. Funding: Bill & Melinda Gates Foundation and American Heart Association. © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license
URI
http://hdl.handle.net/11615/76646
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  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ. [19735]
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