Dataset Information

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

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.

SUBMITTER: Karageorgou D

PROVIDER: S-EPMC10882534 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature

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Publications

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

Karageorgou Dimitra D Lara Castor Laura L Padula de Quadros Victoria V Ferreira de Sousa Rita R Holmes Bridget Anna BA Ioannidou Sofia S Mozaffarian Dariush D Micha Renata R

Public health nutrition 20240119 1

<h4>Objective</h4>The Global Dietary Database (GDD) expanded its previous methods to harmonise and publicly disseminate individual-level dietary data from nutrition surveys worldwide.<h4>Design</h4>Analysis of cross-sectional data.<h4>Setting</h4>Global.<h4>Participants</h4>General population.<h4>Methods</h4>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, Fo ...[more]

PMID: 38238892

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Dataset Information

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

Objective

Design

Setting

Participants

Methods

Results

Conclusions

Publications

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

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