{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,15]],"date-time":"2025-12-15T16:14:31Z","timestamp":1765815271168,"version":"3.48.0"},"reference-count":65,"publisher":"BMJ","issue":"5","content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["BMJ Open"],"accepted":{"date-parts":[[2019,5,2]]},"published-print":{"date-parts":[[2019,5]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design<\/jats:title>\n                    <jats:p>This study primarily used data from National Family Health Survey 4, 2015\u20132016.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Measures<\/jats:title>\n                    <jats:p>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\u2014if the coverage indicators continued based on past trends; scenario 2\u2014scaled up to the level of the richest quintile; scenario 3\u2014scaled up to that of Tamil Nadu; and scenario 4\u2014scaled up to an aspirational coverage level.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>In 2015, out of 3.52\u2009million under-5 children in Odisha, around 1.20\u2009million were stunted. By 2030, the numbers of stunted children will be 1.11\u2009million under scenario 1, 1.07\u2009million under scenario 2, 1.09\u2009million under scenario 3 and 0.89\u2009million 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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>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.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1136\/bmjopen-2018-028681","type":"journal-article","created":{"date-parts":[[2019,5,29]],"date-time":"2019-05-29T08:24:58Z","timestamp":1559118298000},"page":"e028681","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":9,"title":["Projecting stunting and wasting under alternative scenarios in Odisha, India, 2015\u20132030: a Lives Saved Tool (LiST)-based approach"],"prefix":"10.1136","volume":"9","author":[{"given":"Nihar Ranjan","family":"Mishra","sequence":"first","affiliation":[{"name":"Azim Premji Philanthropic Initiatives, Bhubaneswar, Odisha, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sanjay K","family":"Mohanty","sequence":"additional","affiliation":[{"name":"Department of Fertility Studies, International Institute for Population Sciences, Mumbai, Maharashtra, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Devjit","family":"Mittra","sequence":"additional","affiliation":[{"name":"Azim Premji Philanthrophic Initiatives, Bhubaneswar, Odisha, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mansi","family":"Shah","sequence":"additional","affiliation":[{"name":"Azim Premji Philanthropic Initiatives, Bengaluru, Karnataka, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2671-707X","authenticated-orcid":false,"given":"Wahengbam Bigyananda","family":"Meitei","sequence":"additional","affiliation":[{"name":"International Institiute for Popualtion Sciences, Mumbai, Mumbai, Maharashtra, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"239","published-online":{"date-parts":[[2019,5,28]]},"reference":[{"key":"2025121508095499000_9.5.e028681.1","unstructured":"World Health Organization. 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