Azim Premji Philanthropic Initiatives, Bhubaneswar, Odisha, India.
Department of Fertility Studies, International Institute for Population Sciences, Mumbai, Maharashtra, India.
BMJ Open. 2019 May 28;9(5):e028681. doi: 10.1136/bmjopen-2018-028681.
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.
This study primarily used data from National Family Health Survey 4, 2015-2016.
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.
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.
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.
尽管营养特定干预措施是基于母婴、家庭和社区层面的相关因素设计的,但尚未尝试在印度预测发育迟缓症和消瘦症并确定干预重点。本文的目的是通过扩大替代方案下的母婴健康干预措施,对印度奥里萨邦的发育迟缓症和消瘦症进行建模。
本研究主要使用了 2015-2016 年国家家庭健康调查 4 的数据。
使用 List(挽救生命工具)软件对营养结果进行建模并确定干预措施的优先次序。根据四种替代方案进行了预测:方案 1-如果继续按照过去的趋势覆盖指标;方案 2-扩大到最富裕五分之一的水平;方案 3-扩大到泰米尔纳德邦的水平;方案 4-扩大到理想的覆盖水平。
在 2015 年,奥里萨邦的 352 万 5 岁以下儿童中,约有 120 万发育迟缓。到 2030 年,方案 1 下发育迟缓儿童的数量将为 111 万,方案 2 下为 107 万,方案 3 下为 109 万,方案 4 下为 89 万。方案 4 下预计的发育迟缓水平将为 25%,而所有其他方案下则约为 31%。到 2030 年,在前三个方案下,消瘦率将保持不变,为 20%,而方案 4 下为 4.3%。适当的补充喂养可以避免所有四个方案中约一半的总发育迟缓病例,其次是锌补充。家庭中的自来水连接、用肥皂洗手和改善卫生条件是其他有效干预措施。
维持母婴健康干预措施、推广基于证据的减少发育迟缓症和消瘦症的干预措施以及多部门方法可以实现奥里萨邦世界卫生大会目标和可持续发展目标下的营养不良目标。