Srivastava Swati, Chandra Hukum, Singh Shri Kant, Upadhyay Ashish Kumar
International Institute for Population Sciences, Mumbai, India.
ICAR-Indian Agricultural Statistics Research Institute (IASRI), India.
SSM Popul Health. 2021 Feb 3;14:100748. doi: 10.1016/j.ssmph.2021.100748. eCollection 2021 Jun.
The four rounds of National Family Health Survey (NFHS) conducted during 1992-93, 1998-99, 2005-06 and 2015-16 is main source to track the health and development related indicators including nutritional status of children at national and state level in India. Except NFHS-4, first three rounds of NFHS were unable to provides district-level estimates of childhood stunting due to the insufficient sample sizes. The small area estimation (SAE) techniques offer a viable solution to overcome the problem of small sample size. Therefore, this study uses SAE techniques to derive district level prevalence of childhood stunting corresponding to NFHS-2 (1998-99). Study further estimated GIS maps, univariate Local indicator of spatial autocorrelation (LISA) and Moran's I to understand the trend in district level childhood stunting between NFHS-2 and NFHS-4. Estimates obtained by SAE techniques suggest that prevalence of childhood stunting ranges from 20.7% (95% CI: 18.8-22.7) in South Goa district of Goa to 64.4% (95%CI: 63.1-65.7) in Dhaulpur district of Rajasthan during 1998-99. The diagnostic measures used to validate the reliability of estimates obtained by SAE techniques indicate that the model-based estimates are reliable and representative at district level. Results of geospatial analysis indicates substantial reduction in childhood stunting between 1998 and 2016. Out of 640 district,about 81 district experience reduction of more than 50%. At the same time 60 district experience less than 10% of reduction between 1998 and 2016. Spatial clustering of childhood stunting remains same over the study period except few additional cluster in Maharashtra, Andhra and Meghalaya in 2016. The district level estimates obtained from this study might be helpful in framing decentralized policies and implementation of vertical programs to enhance the efficacy of various nutrition interventions in priority districts of the country.
1992 - 93年、1998 - 99年、2005 - 06年和2015 - 16年进行的四轮全国家庭健康调查(NFHS)是追踪印度国家和邦层面与健康及发展相关指标(包括儿童营养状况)的主要来源。除了NFHS - 4,由于样本量不足,前三轮NFHS无法提供地区层面儿童发育迟缓的估计数据。小区域估计(SAE)技术为克服小样本量问题提供了一个可行的解决方案。因此,本研究使用SAE技术得出与NFHS - 2(1998 - 99年)相对应的地区层面儿童发育迟缓患病率。研究进一步估计了地理信息系统地图、单变量空间自相关局部指标(LISA)和莫兰指数(Moran's I),以了解NFHS - 2和NFHS - 4之间地区层面儿童发育迟缓的趋势。SAE技术获得的估计结果表明,1998 - 99年期间,果阿邦南果阿地区儿童发育迟缓患病率为20.7%(95%置信区间:18.8 - 22.7),拉贾斯坦邦道尔布尔地区为64.4%(95%置信区间:63.1 - 65.7)。用于验证SAE技术获得的估计可靠性的诊断措施表明,基于模型的估计在地区层面是可靠且具有代表性的。地理空间分析结果表明,1998年至2016年期间儿童发育迟缓情况大幅减少。在640个地区中,约81个地区的降幅超过50%。与此同时,60个地区在1998年至2016年期间的降幅不到10%。除了2016年在马哈拉施特拉邦、安得拉邦和梅加拉亚邦出现的少数新增聚集区外,研究期间儿童发育迟缓的空间聚集情况保持不变。本研究获得的地区层面估计结果可能有助于制定分权政策和实施纵向项目,以提高该国优先地区各种营养干预措施的效果。