The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Obesity in Low- and Middle-Income Countries: Burden, Drivers, and Emerging Challenges
Open accessAbstract
We have reviewed the distinctive features of excess weight, its causes, and related prevention and management efforts, as well as data gaps and recommendations for future research in low- and middle-income countries (LMICs). Obesity is rising in every region of the world, and no country has been successful at reversing the epidemic once it has begun. In LMICs, overweight is higher in women compared with men, in urban compared with rural settings, and in older compared with younger individuals; however, the urban–rural overweight differential is shrinking in many countries. Overweight occurs alongside persistent burdens of underweight in LMICs, especially in young women. Changes in the global diet and physical activity are among the hypothesized leading contributors to obesity. Emerging risk factors include environmental contaminants, chronic psychosocial stress, neuroendocrine dysregulation, and genetic/epigenetic mechanisms. Data on effective strategies to prevent the onset of obesity in LMICs or elsewhere are limited. Expanding the research in this area is a key priority and has important possibilities for reverse innovation that may also inform interventions in high-income countries.
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Citations
Cites
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Cited by
Ng, M., Gakidou, E., Lo, J., Abate, Y. H., Abbafati, C., Abbas, N., Abbasian, M., Abd ElHafeez, S., Abdel-Rahman, W. M., Abd-Elsalam, S., et al. (2025) · The Lancet · doi:10.1016/s0140-6736(25)00355-1 · Cited by 1,151
“90 With the rapid increase in the prevalence of overweight and obesity forecasted in many LMICs, it is imperative to ensure proper integration of monitoring and evaluation strategies alongside the introduction of new policies and programmes to accumulate evidence to support continuous policy…”
Influence of Maternal Obesity on the Long-Term Health of Offspring
Godfrey, K. M., Reynolds, R. M., Prescott, S. L., Nyirenda, M., Jaddoe, V. W. V., Eriksson, J. G., & Broekman, B. F. P. (2017) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(16)30107-3 · Cited by 1,059
Global Epidemiology of Chronic Liver Disease
Cheemerla, S., & Balakrishnan, M. (2021) · Clinical Liver Disease · doi:10.1002/cld.1061 · Cited by 571
Obesity and the risk of cardiometabolic diseases
Valenzuela, P. L., Carrera-Bastos, P., Castillo-García, A., Lieberman, D. E., Santos-Lozano, A., & Lucia, A. (2023) · Nature Reviews Cardiology · doi:10.1038/s41569-023-00847-5 · Cited by 452
Ahmed, S. K., & Mohammed, R. A. (2025) · Metabolism Open · doi:10.1016/j.metop.2025.100375 · Cited by 432
Wang, J., Wang, B., Li, C., Meng, T., Liu, C., Chen, J., & Guo, Y. (2025) · Frontiers in Endocrinology · doi:10.3389/fendo.2025.1569694 · Cited by 24
Metadata
- Authors
- Ford, N. D., Patel, S. A., & Narayan, K. M. V.
- Venue
- Annual Review of Public Health
- Publisher
- Annual Reviews
- Published
- 2017-03-20
- Volume
- 38
- Issue
- 1
- Pages
- 145-164
- ISSN
- 0163-7525 (ISSN-L)
- 1545-2093
- OpenAlex
- W2567864581
- Cited by
- 515
- References
- 26
- FWCI
- 7.01
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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.
