Multivariate time series clustering analysis of the Global Dietary Database to uncover patterns in dietary trends (1990–2018)
While global nutrition trends are associated with geography, demographic variables such as sex and age are less influential to the trends of certain nutrition intake. The literature could be further supplemented by applying outcome-guided methods to explore how these trends link to disease burdens.
Authors
- Tiffany H Leung (ORCID: https://orcid.org/0009-0002-1154-8234)
- Herbert Pang (ORCID: https://orcid.org/0000-0002-7896-6716)
- Adriano Matousek
Institutions
- Duke University (US)
- University of Cambridge (GB)
- EP Analytics (United States) (US)
- Department of Public Health (US)
- University of Hong Kong (HK)
Publication Details
- Journal
- Public Health Nutrition
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1017/s136898002500059x
- Primary Topic
- Nutritional Studies and Diet
- Type
- article
- Field-Weighted Citation Impact
- 0.00