Eliciting a policy response for the rising epidemic of overweight‐obesity in I ndia
Open accessAbstract
India is experiencing multiple transitions with respect to nutrition patterns, epidemiology and demography. Along with staggering childhood undernutrition, a rapid rise in chronic diseases and their risk factors including overweight-obesity (O-O), among all sections of society, is compounding India's health challenges. We present an overview of the O-O scenario (prevalence, determinants) and profile existing initiatives to address this modifiable risk factor in India. Urgent attention from all sectors, committed resources, policy support and targeted actions are warranted to combat the dual burden of malnutrition. The health systems should be reoriented and strengthened, in addition to enabling actions in other sectors, to address prevention and control of non-communicable diseases and associated risk factors like O-O.
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Many countries retain various forms of state intervention in agriculture and food systems, but policies to liberalize trade and private sector investment have revolutionized the entire sector in many regions.
“Many countries retain various forms of state intervention in agriculture and food systems (18,38–41), but policies to liberalize trade and private sector investment have revolutionized the entire sector in many regions (13,42).”
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Retailing has been transformed in LMIC through the growth of supermarkets.
“Retailing has been transformed in LMIC through the growth of supermarkets (18,38–41).”
From Food Consumption and its Impact on Cardiovascular Disease: Importance of Solutions Focused on the Globalized Food System (2015) · cites this paper as [38]
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Anand, S. S., Hawkes, C., de Souza, R. J., Mente, A., Dehghan, M., Nugent, R., Zulyniak, M. A., Weis, T., Bernstein, A. M., Krauss, R. M., et al. (2015) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2015.07.050 · Cited by 507 · see citing works
Processed foods and the nutrition transition: evidence from<scp>A</scp>sia
Baker, P., & Friel, S. (2014) · Obesity Reviews · doi:10.1111/obr.12174 · Cited by 276 · see citing works
Popkin, B., Monteiro, C., & Swinburn, B. (2013) · Obesity Reviews · doi:10.1111/obr.12108 · Cited by 51 · see citing works
- Authors
- Khandelwal, S., & Reddy, K. S.
- Affiliations
- Public Health Foundation of India (IN)
- Corresponding author
- Reddy, K. S.
- Venue
- Obesity Reviews
- Publisher
- Wiley
- Published
- 2013-10-23
- Volume
- 14
- Issue
- S2
- Pages
- 114-125
- ISSN
- 1467-7881 (ISSN-L)
- 1467-789X
- OpenAlex
- W1592196502
- Cited by
- 60
- References
- 106
- Citations by year
- 2025: 5 · 2024: 4 · 2023: 5 · 2022: 5 · 2021: 3 · 2020: 6 · 2019: 6 · 2018: 6 · 2017: 2 · 2016: 4 · 2015: 9 · 2014: 4 · 2013: 1
- FWCI
- 0.86
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Obesity Reviews (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Funders
- Rockefeller Foundation
- Bloomberg Philanthropies
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Global Public Health Policies and Epidemiology
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Public Health and Nutrition
- Keywords
- obesity epidemic, India, non-communicable diseases, double burden of malnutrition, child undernutrition, chronic disease risk factors, health policy, health system strengthening, nutrition transition
- MeSH terms
- Diet, Food Labeling, Fruit, Humans, India, Motor Activity, Nutritional Status, Obesity, Risk Factors, Vegetables, Prevalence, Guidelines as Topic, Nutrition Policy, Malnutrition, Overweight, Food Safety
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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