Harmonising dietary datasets for global surveillance

Methods and findings from the Global Dietary Database

Datos Bibliográficos

ID15092467
AutoresDimitra Karageorgou (0000-0002-5451-3835, Tufts University, autor de correspondencia), Laura Lara Castor (Tufts University), Victoria Padula de Quadros (0000-0003-0562-6937, Food and Agriculture Organization of the United Nations), Rita Ferreira de Sousa (0000-0002-9462-568X, Food and Agriculture Organization of the United Nations), Bridget Anna Holmes, Bridget Holmes (0000-0001-9375-3025, Food and Agriculture Organization of the United Nations), Sofia Ioannidou (0000-0001-6375-3243, European Food Safety Authority), Dariush Mozaffarian (0000-0001-7958-9492, Tufts University), Renata Micha (0000-0002-3983-1632, Tufts University)
Año2024
Volumen27
Número1
Páginase47-e47
Fecha de publicación2024-01-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaPublic Health Nutrition (JOURNAL)
Identificadores de la revistaISSN: 1368-9800 • E-ISSN: 1475-2727
EditorialCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s1368980024000211
PMID38238892
OpenAlexW4391033891
IdiomaEN
Citas recibidas1
Referencias citadas18

Objective: The Global Dietary Database (GDD) expanded its previous methods to harmonise and publicly disseminate individual-level dietary data from nutrition surveys worldwide. Design: Analysis of cross-sectional data. Setting: Global. Participants: General population. Methods: Comprehensive methods to streamline the harmonisation of primary, individual-level 24-h recall and food record data worldwide were developed. To standardise the varying food descriptions, FoodEx2 was used, a highly detailed food classification and description system developed and adapted for international use by European Food Safety Authority (EFSA). Standardised processes were developed to: identify eligible surveys; contact data owners; screen surveys for inclusion; harmonise data structure, variable definition and unit and food characterisation; perform data checks and publicly disseminate the harmonised datasets. The GDD joined forces with FAO and EFSA, given the shared goal of harmonising individual-level dietary data worldwide. Results: Of 1500 dietary surveys identified, 600 met the eligibility criteria, and 156 were prioritised and contacted; fifty-five surveys were included for harmonisation and, ultimately, fifty two were harmonised. The included surveys were primarily nationally representative (59 %); included high- (39 %), upper-middle (21 %), lower-middle (27 %) and low- (13 %) income countries; usually collected multiple recalls/ records (64 %) and largely captured both sexes, all ages and both rural and urban areas. Surveys from low- and lower-middle v . high- and upper-middle income countries reported fewer nutrients (median 17 v . 30) and rarely included nutrients relevant to diet-related chronic diseases, such as n -3 fatty acids and Na. Conclusions: Diverse 24-h recalls/records can be harmonised to provide highly granular, standardised data, supporting nutrition programming, research and capacity development worldwide

Biology · Database · Dissemination · Environmental health · Geography · Nutrient · Population · Computer Science · Consumer Attitudes and Food Labeling · Medicine · Nutrition, Genetics, and Disease · Nutritional Studies and Diet