The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
The burden of child and maternal malnutrition and trends in its indicators in the states of India: the Global Burden of Disease Study 1990–2017
Open accessAbstract
BACKGROUND: Malnutrition is a major contributor to disease burden in India. To inform subnational action, we aimed to assess the disease burden due to malnutrition and the trends in its indicators in every state of India in relation to Indian and global nutrition targets. METHODS: We analysed the disease burden attributable to child and maternal malnutrition, and the trends in the malnutrition indicators from 1990 to 2017 in every state of India using all accessible data from multiple sources, as part of Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017. The states were categorised into three groups using their Socio-demographic Index (SDI) calculated by GBD on the basis of per capita income, mean education, and fertility rate in women younger than 25 years. We projected the prevalence of malnutrition indicators for the states of India up to 2030 on the basis of the 1990-2017 trends for comparison with India National Nutrition Mission (NNM) 2022 and WHO and UNICEF 2030 targets. FINDINGS: Malnutrition was the predominant risk factor for death in children younger than 5 years of age in every state of India in 2017, accounting for 68·2% (95% UI 65·8-70·7) of the total under-5 deaths, and the leading risk factor for health loss for all ages, responsible for 17·3% (16·3-18·2) of the total disability-adjusted life years (DALYs). The malnutrition DALY rate was much higher in the low SDI than in the middle SDI and high SDI state groups. This rate varied 6·8 times between the states in 2017, and was highest in the states of Uttar Pradesh, Bihar, Assam, and Rajasthan. The prevalence of low birthweight in India in 2017 was 21·4% (20·8-21·9), child stunting 39·3% (38·7-40·1), child wasting 15·7% (15·6-15·9), child underweight 32·7% (32·3-33·1), anaemia in children 59·7% (56·2-63·8), anaemia in women 15-49 years of age 54·4% (53·7-55·2), exclusive breastfeeding 53·3% (51·5-54·9), and child overweight 11·5% (8·5-14·9). If the trends estimated up to 2017 for the indicators in the NNM 2022 continue in India, there would be 8·9% excess prevalence for low birthweight, 9·6% for stunting, 4·8% for underweight, 11·7% for anaemia in children, and 13·8% for anaemia in women relative to the 2022 targets. For the additional indicators in the WHO and UNICEF 2030 targets, the trends up to 2017 would lead to 10·4% excess prevalence for wasting, 14·5% excess prevalence for overweight, and 10·7% less exclusive breastfeeding in 2030. The prevalence of malnutrition indicators, their rates of improvement, and the gaps between projected prevalence and targets vary substantially between the states. INTERPRETATION: Malnutrition continues to be the leading risk factor for disease burden in India. It is encouraging that India has set ambitious targets to reduce malnutrition through NNM. The trends up to 2017 indicate that substantially higher rates of improvement will be needed for all malnutrition indicators in most states to achieve the Indian 2022 and the global 2030 targets. The state-specific findings in this report indicate the effort needed in each state, which will be useful in tracking and motivating further progress. Similar subnational analyses might be useful for other low-income and middle-income countries. FUNDING: Bill & Melinda Gates Foundation; Indian Council of Medical Research, Department of Health Research, Ministry of Health and Family Welfare, Government of India.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Maternal and child undernutrition and overweight in low-income and middle-income countries
Black, R. E., Victora, C. G., Walker, S. P., Bhutta, Z. A., Christian, P., de Onis, M., Ezzati, M., Grantham-McGregor, S., Katz, J., Martorell, R., et al. (2013) · The Lancet · doi:10.1016/s0140-6736(13)60937-x · Cited by 8,475
Health effects of overweight and obesity in 195 countries over 25 years
Collaborators, T. G. 2. O. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1614362 · Cited by 7,918
Stanaway, J. D., Afshin, A., Gakidou, E., Lim, S. S., Abate, D., Abate, K. H., Abbafati, C., Abbasi, N., Abbastabar, H., Abd-Allah, F., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(18)32225-6 · Cited by 4,943
Self-citationBlencowe, H., Cousens, S., Oestergaard, M. Z., Chou, D., Moller, A.-B., Narwal, R., Adler, A., Vera Garcia, C., Rohde, S., Say, L., et al. (2012) · The Lancet · doi:10.1016/s0140-6736(12)60820-4 · Cited by 4,568
Kyu, H. H., Abate, D., Abate, K. H., Abay, S. M., Abbafati, C., Abbasi, N., Abbastabar, H., Abd-Allah, F., Abdela, J., Abdelalim, A., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(18)32335-3 · Cited by 4,081
Self-citationMaternal and child undernutrition: consequences for adult health and human capital
Victora, C. G., Adair, L., Fall, C., Hallal, P. C., Martorell, R., Richter, L., & Sachdev, H. S. (2008) · The Lancet · doi:10.1016/s0140-6736(07)61692-4 · Cited by 3,952
Zhou, M., Wang, H., Zeng, X., Yin, P., Zhu, J., Chen, W., Li, X., Wang, L., Wang, L., Liu, Y., et al. (2019) · The Lancet · doi:10.1016/s0140-6736(19)30427-1 · Cited by 3,639
Self-citationBhutta, Z. A., Das, J. K., Rizvi, A., Gaffey, M. F., Walker, N., Horton, S., Webb, P., Lartey, A., & Black, R. E. (2013) · The Lancet · doi:10.1016/s0140-6736(13)60996-4 · Cited by 3,093
Every Newborn: progress, priorities, and potential beyond survival
Lawn, J. E., Blencowe, H., Oza, S., You, D., Lee, A. C., Waiswa, P., Lalli, M., Bhutta, Z., Barros, A. J., Christian, P., et al. (2014) · The Lancet · doi:10.1016/s0140-6736(14)60496-7 · Cited by 1,929
Ruel, M. T., & Alderman, H. (2013) · The Lancet · doi:10.1016/s0140-6736(13)60843-0 · Cited by 1,820
Cited by
Brauer, M., Roth, G. A., Aravkin, A. Y., Zheng, P., Abate, K. H., Abate, Y. H., Abbafati, C., Abbasgholizadeh, R., Abbasi, M. A., Abbasian, M., et al. (2024) · The Lancet · doi:10.1016/s0140-6736(24)00933-4 · Cited by 2,884
Self-citationGlobal Burden of Nutritional Deficiencies among Children under 5 Years of Age from 2010 to 2019
Yue, T., Zhang, Q., Li, G., & Qin, H. (2022) · Nutrients · doi:10.3390/nu14132685 · Cited by 49
In-utero exposure to multiple air pollutants and childhood undernutrition in India
Jana, A., Singh, A., Adar, S. D., D’Souza, J., & Chattopadhyay, A. (2024) · Journal of Exposure Science & Environmental Epidemiology · doi:10.1038/s41370-023-00591-5 · Cited by 15
Bora, K. (2021) · Journal of Tropical Pediatrics · doi:10.1093/tropej/fmab089 · Cited by 16
Metadata
- Authors
- Swaminathan, S., Hemalatha, R., Pandey, A., Kassebaum, N. J., Laxmaiah, A., Longvah, T., Lodha, R., Ramji, S., Kumar, G. A., Afshin, A., Gupta, S. S., Kar, A., Khera, A. K., Mathai, M., Awasthi, S., Rasaily, R., Varghese, C. M., Millear, A. I., Manguerra, H., Gardner, W. M., Sorenson, R., Sankar, M. J., Purwar, M., Furtado, M., Bansal, P. G., Barber, R., Chakma, J. K., Chalek, J., Dwivedi, S., Fullman, N., Ginnela, B. N., Glenn, S. D., Godwin, W., Gonmei, Z., Gupta, R., Jerath, S. G., Kant, R., Krish, V., Kumar, R. H., Ladusingh, L., Meshram, I. I., Mutreja, P., Nagalla, B., Nimmathota, A., Odell, C. M., Olsen, H. E., Pati, A., Pickering, B., Radhakrishna, K. V., Raina, N., Rankin, Z., Saraf, D., Sharma, R. S., Sinha, A., Varanasi, B., Shekhar, C., Bekedam, H. J., Reddy, K. S., Lim, S. S., Hay, S. I., Dandona, R., Murray, C. J. L., Toteja, G. S., & Dandona, L.
- Venue
- The Lancet Child & Adolescent Health
- Publisher
- Elsevier BV
- Published
- 2019-12
- Volume
- 3
- Issue
- 12
- Pages
- 855-870
- ISSN
- 2352-4642 (ISSN-L)
- OpenAlex
- W2973313608
- Cited by
- 361
- References
- 54
- FWCI
- 29.25
- Type
- journal article
- Language
- en
- Open access
- hybrid
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The burden of child and maternal malnutrition and trends in its indicators in the states of India: the Global Burden of Disease Study 1990–2017. https://app.cochat.ai/papers/10.1016/s2352-4642(19)30273-1
- The paper
- Swaminathan, S., Hemalatha, R., Pandey, A., Kassebaum, N. J., Laxmaiah, A., Longvah, T., Lodha, R., Ramji, S., Kumar, G. A., Afshin, A., Gupta, S. S., Kar, A., Khera, A. K., Mathai, M., Awasthi, S., Rasaily, R., Varghese, C. M., Millear, A. I., Manguerra, H., . . . Dandona, L. (2019). The burden of child and maternal malnutrition and trends in its indicators in the states of India: the Global Burden of Disease Study 1990–2017. The Lancet Child & Adolescent Health. https://doi.org/10.1016/s2352-4642(19)30273-1
Data sources
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.