The DOI matches its Crossref record; 101 of the 101 references it cites were found in a registry or an index.
Double-duty actions: seizing programme and policy opportunities to address malnutrition in all its forms
Abstract
Actions to address different forms of malnutrition are typically managed by separate communities, policies, programmes, governance structures, and funding streams. By contrast, double-duty actions, which aim to simultaneously tackle both undernutrition and problems of overweight, obesity, and diet-related non-communicable diseases (DR-NCDs) have been proposed as a way to effectively address malnutrition in all its forms in a more holisitic way. This Series paper identifies ten double-duty actions that have strong potential to reduce the risk of both undernutrition, obesity, and DR-NCDs. It does so by summarising evidence on common drivers of different forms of malnutrition; documenting examples of unintended harm caused by some undernutrition-focused programmes on obesity and DR-NCDs; and highlighting examples of double-duty actions to tackle multiple forms of malnutrition. We find that undernutrition, obesity, and DR-NCDs are intrinsically linked through early-life nutrition, diet diversity, food environments, and socioeconomic factors. Some evidence shows that programmes focused on undernutrition have raised risks of poor quality diets, obesity, and DR-NCDs, especially in countries undergoing a rapid nutrition transition. This Series paper builds on this evidence to develop a framework to guide the design of double-duty approaches and strategies, and defines the first steps needed to deliver them. With a clear package of double-duty actions now identified, there is an urgent need to move forward with double-duty actions to address malnutrition in all its forms.
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Cites
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Cited by
The double burden of malnutrition: aetiological pathways and consequences for health
Wells, J. C., Sawaya, A. L., Wibaek, R., Mwangome, M., Poullas, M. S., Yajnik, C. S., & Demaio, A. (2020) · The Lancet · doi:10.1016/s0140-6736(19)32472-9 · Cited by 993
Rodriguez-Martinez, A., Zhou, B., Sophiea, M. K., Bentham, J., Paciorek, C. J., Iurilli, M. L., Carrillo-Larco, R. M., Bennett, J. E., Di Cesare, M., Taddei, C., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)31859-6 · Cited by 417
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Popkin, B. M., Barquera, S., Corvalan, C., Hofman, K. J., Monteiro, C., Ng, S. W., Swart, E. C., & Taillie, L. S. (2021) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(21)00078-4 · Cited by 328
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., et al. (2023) · eClinicalMedicine · doi:10.1016/j.eclinm.2023.101850 · Cited by 316
Metadata
- Authors
- Hawkes, C., Ruel, M. T., Salm, L., Sinclair, B., & Branca, F.
- Venue
- The Lancet
- Publisher
- Elsevier BV
- Published
- 2020-01
- Volume
- 395
- Issue
- 10218
- Pages
- 142-155
- ISSN
- 0099-5355 (ISSN-L)
- 0140-6736
- OpenAlex
- W2980170544
- Cited by
- 466
- References
- 101
- FWCI
- 34.45
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
