Harmonising dietary datasets for global surveillance: methods and findings from the Global Dietary Database

Abstract 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: Comprehensiv...

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Main Authors: Dimitra Karageorgou (Author), Laura Lara Castor (Author), Victoria Padula de Quadros (Author), Rita Ferreira de Sousa (Author), Bridget Anna Holmes (Author), Sofia Ioannidou (Author), Dariush Mozaffarian (Author), Renata Micha (Author)
Format: Book
Published: Cambridge University Press, 2024-01-01T00:00:00Z.
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Summary:Abstract 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.
Item Description:10.1017/S1368980024000211
1368-9800
1475-2727