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Cited by 316

The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

Trends and predictions of malnutrition and obesity in 204 countries and territories: an analysis of the Global Burden of Disease Study 2019

Open access
Chong, Bryan, Jayabaskaran, Jayanth, Kong, Gwyneth, Chan, Yiong Huak, Chin, Yip Han, Goh, Rachel, Kannan, Shankar, Ng, Cheng Han, Loong, Shaun, Kueh, Martin Tze Wah, Lin, Chaoxing, Anand, Vickram Vijay, Lee, Ethan Cheng Zhe, Chew, H.S. Jocelyn, Tan, Darren Jun Hao, Chan, Kai En, Wang, Jiong-Wei, Muthiah, Mark, Dimitriadis, Georgios K., Hausenloy, Derek J., Mehta, Anurag J., Foo, Roger, Lip, Gregory, Chan, Mark Y., Mamas, Mamas A., le Roux, Carel W., Chew, Nicholas W.S.·2023·eClinicalMedicine

Abstract

Background: Malnutrition and obesity are interdependent pathologies along the same spectrum. We examined global trends and projections of disability-adjusted life years (DALYs) and deaths from malnutrition and obesity until 2030. Methods: . Countries were stratified into low, low-middle, middle, high-middle, and high SDI bands. Regression models were constructed to predict DALYs and mortality up to 2030. Association between age-standardised prevalence of the diseases and mortality was also assessed. Findings: In 2019, age-standardised malnutrition-related DALYs was 680 (95% UI: 507-895) per 100,000 population. DALY rates decreased from 2000 to 2019 (-2.86% annually), projected to fall 8.4% from 2020 to 2030. Africa and low SDI countries observed highest malnutrition-related DALYs. Age-standardised obesity-related DALY estimates were 1933 (95% UI: 1277-2640). Obesity-related DALYs rose 0.48% annually from 2000 to 2019, predicted to increase by 39.8% from 2020 to 2030. Highest obesity-related DALYs were in Eastern Mediterranean and middle SDI countries. Interpretation: The ever-increasing obesity burden, on the backdrop of curbing the malnutrition burden, is predicted to rise further. Funding: None.

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Metadata

Authors
Chong, B., Jayabaskaran, J., Kong, G., Chan, Y. H., Chin, Y. H., Goh, R., Kannan, S., Ng, C. H., Loong, S., Kueh, M. T. W., Lin, C., Anand, V. V., Lee, E. C. Z., Chew, H. S. J., Tan, D. J. H., Chan, K. E., Wang, J.-W., Muthiah, M., Dimitriadis, G. K., Hausenloy, D. J., Mehta, A. J., Foo, R., Lip, G., Chan, M. Y., Mamas, M. A., le Roux, C. W., & Chew, N. W. S.
Venue
eClinicalMedicine
Publisher
Elsevier BV
Published
2023-03
Volume
57
Pages
101850
ISSN
2589-5370 (ISSN-L)
OpenAlex
W4321133149
Cited by
316
References
25
FWCI
72.78
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Trends and predictions of malnutrition and obesity in 204 countries and territories: an analysis of the Global Burden of Disease Study 2019. https://app.cochat.ai/papers/10.1016/j.eclinm.2023.101850
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Chong, B., Jayabaskaran, J., Kong, G., Chan, Y. H., Chin, Y. H., Goh, R., Kannan, S., Ng, C. H., Loong, S., Kueh, M. T. W., Lin, C., Anand, V. V., Lee, E. C. Z., Chew, H. S. J., Tan, D. J. H., Chan, K. E., Wang, J.-W., Muthiah, M., Dimitriadis, G. K., . . . Chew, N. W. S. (2023). Trends and predictions of malnutrition and obesity in 204 countries and territories: an analysis of the Global Burden of Disease Study 2019. eClinicalMedicine. https://doi.org/10.1016/j.eclinm.2023.101850

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.