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Projecting stunting and wasting under alternative scenarios in Odisha, India, 2015–2030: a Lives Saved Tool (LiST)-based approach
OBJECTIVE: Although nutrition-specific interventions are designed based on maternal, household and community-level correlates, no attempt has been made to project stunting and wasting and identify intervention priorities in India. The objective of this paper is to model the stunting and wasting in t...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6549738/ https://www.ncbi.nlm.nih.gov/pubmed/31142537 http://dx.doi.org/10.1136/bmjopen-2018-028681 |
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author | Mishra, Nihar Ranjan Mohanty, Sanjay K Mittra, Devjit Shah, Mansi Meitei, Wahengbam Bigyananda |
author_facet | Mishra, Nihar Ranjan Mohanty, Sanjay K Mittra, Devjit Shah, Mansi Meitei, Wahengbam Bigyananda |
author_sort | Mishra, Nihar Ranjan |
collection | PubMed |
description | OBJECTIVE: Although nutrition-specific interventions are designed based on maternal, household and community-level correlates, no attempt has been made to project stunting and wasting and identify intervention priorities in India. The objective of this paper is to model the stunting and wasting in the state of Odisha, India by scaling up maternal and child health interventions under alternative scenarios. DESIGN: This study primarily used data from National Family Health Survey 4, 2015–2016. MEASURES: The LiST (Lives Saved Tool) software is used to model the nutritional outcomes and prioritise interventions. The projections were carried out under four alternative scenarios: scenario 1—if the coverage indicators continued based on past trends; scenario 2—scaled up to the level of the richest quintile; scenario 3—scaled up to that of Tamil Nadu; and scenario 4—scaled up to an aspirational coverage level. RESULTS: In 2015, out of 3.52 million under-5 children in Odisha, around 1.20 million were stunted. By 2030, the numbers of stunted children will be 1.11 million under scenario 1, 1.07 million under scenario 2, 1.09 million under scenario 3 and 0.89 million under scenario 4. The projected stunting level will be 25% under scenario 4 and around 31% under all other scenarios. By 2030, the level of wasting will remain unchanged at 20% under the first three scenarios and 4.3% under scenario 4. Appropriate complementary feeding would avert about half of the total stunting cases under all four scenarios, followed by zinc supplementation. Water connection at home, washing hands with soap and improved sanitation are other effective interventions. CONCLUSION: Sustaining the maternal and child health interventions, promoting evidence-based stunting and wasting reduction interventions, and a multisectoral approach can achieve the World Health Assembly targets and Sustainable Development Goals of undernutrition in Odisha. |
format | Online Article Text |
id | pubmed-6549738 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-65497382019-06-21 Projecting stunting and wasting under alternative scenarios in Odisha, India, 2015–2030: a Lives Saved Tool (LiST)-based approach Mishra, Nihar Ranjan Mohanty, Sanjay K Mittra, Devjit Shah, Mansi Meitei, Wahengbam Bigyananda BMJ Open Nutrition and Metabolism OBJECTIVE: Although nutrition-specific interventions are designed based on maternal, household and community-level correlates, no attempt has been made to project stunting and wasting and identify intervention priorities in India. The objective of this paper is to model the stunting and wasting in the state of Odisha, India by scaling up maternal and child health interventions under alternative scenarios. DESIGN: This study primarily used data from National Family Health Survey 4, 2015–2016. MEASURES: The LiST (Lives Saved Tool) software is used to model the nutritional outcomes and prioritise interventions. The projections were carried out under four alternative scenarios: scenario 1—if the coverage indicators continued based on past trends; scenario 2—scaled up to the level of the richest quintile; scenario 3—scaled up to that of Tamil Nadu; and scenario 4—scaled up to an aspirational coverage level. RESULTS: In 2015, out of 3.52 million under-5 children in Odisha, around 1.20 million were stunted. By 2030, the numbers of stunted children will be 1.11 million under scenario 1, 1.07 million under scenario 2, 1.09 million under scenario 3 and 0.89 million under scenario 4. The projected stunting level will be 25% under scenario 4 and around 31% under all other scenarios. By 2030, the level of wasting will remain unchanged at 20% under the first three scenarios and 4.3% under scenario 4. Appropriate complementary feeding would avert about half of the total stunting cases under all four scenarios, followed by zinc supplementation. Water connection at home, washing hands with soap and improved sanitation are other effective interventions. CONCLUSION: Sustaining the maternal and child health interventions, promoting evidence-based stunting and wasting reduction interventions, and a multisectoral approach can achieve the World Health Assembly targets and Sustainable Development Goals of undernutrition in Odisha. BMJ Publishing Group 2019-05-28 /pmc/articles/PMC6549738/ /pubmed/31142537 http://dx.doi.org/10.1136/bmjopen-2018-028681 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Nutrition and Metabolism Mishra, Nihar Ranjan Mohanty, Sanjay K Mittra, Devjit Shah, Mansi Meitei, Wahengbam Bigyananda Projecting stunting and wasting under alternative scenarios in Odisha, India, 2015–2030: a Lives Saved Tool (LiST)-based approach |
title | Projecting stunting and wasting under alternative scenarios in Odisha, India, 2015–2030: a Lives Saved Tool (LiST)-based approach |
title_full | Projecting stunting and wasting under alternative scenarios in Odisha, India, 2015–2030: a Lives Saved Tool (LiST)-based approach |
title_fullStr | Projecting stunting and wasting under alternative scenarios in Odisha, India, 2015–2030: a Lives Saved Tool (LiST)-based approach |
title_full_unstemmed | Projecting stunting and wasting under alternative scenarios in Odisha, India, 2015–2030: a Lives Saved Tool (LiST)-based approach |
title_short | Projecting stunting and wasting under alternative scenarios in Odisha, India, 2015–2030: a Lives Saved Tool (LiST)-based approach |
title_sort | projecting stunting and wasting under alternative scenarios in odisha, india, 2015–2030: a lives saved tool (list)-based approach |
topic | Nutrition and Metabolism |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6549738/ https://www.ncbi.nlm.nih.gov/pubmed/31142537 http://dx.doi.org/10.1136/bmjopen-2018-028681 |
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