国际标准期刊号: 2161-1165

Epidemiology: Open Access

开放获取

我们集团组织了 3000 多个全球系列会议 每年在美国、欧洲和美国举办的活动亚洲得到 1000 多个科学协会的支持 并出版了 700+ 开放获取期刊包含超过50000名知名人士、知名科学家担任编委会成员。

开放获取期刊获得更多读者和引用
700 种期刊 15,000,000 名读者 每份期刊 获得 25,000 多名读者

索引于
  • 哥白尼索引
  • 谷歌学术
  • 夏尔巴·罗密欧
  • Genamics 期刊搜索
  • 安全点亮
  • 访问全球在线农业研究 (AGORA)
  • 国际农业与生物科学中心 (CABI)
  • 参考搜索
  • 哈姆达大学
  • 亚利桑那州EBSCO
  • OCLC-世界猫
  • CABI 全文
  • 出租车直达
  • 普布隆斯
  • 日内瓦医学教育与研究基金会
  • 欧洲酒吧
  • ICMJE
分享此页面

抽象的

Tracking Progress in Anthropometric Failure among Children in India: A Geospatial Analysis

Singh SK, Purnima Menon, Aditi Chaudary

Background: This paper deals with three key indicators of anthropometric failure viz. stunting, wasting, and underweight, their significant correlates, and spatial dependence across 640 districts of India. The paper uses data from three different rounds of NFHS conducted from 1998 to 2015. The spatial analysis uses district-level information collected first time in NFHS-4 (2015-16).

Methods: Analytical methods used in this paper include multivariate logistic regression to examine the adjusted effects of various predictors and predicted probabilities to explain changes in the likelihood of anthropometric failures over time. Besides, bivariate LISA maps and spatial error models provide spatial dependence and clustering in anthropometric failures among children.

Results: Results highlight that women’s education, maternal nutrition, birth order, birth weight, and the wealth quintiles of households were essential markers of the anthropometric failures among the children. The likelihood of anthropometric failures declined considerably during 1998-2005 in comparison to 2005-15, especially among the children from the wealthiest quintiles. Spatial clustering in the prevalence of anthropometric failures portrayed that Moran’s I values were significant for the utilization of ICDS services and mothers having low BMI. The univariate Moran’s I statistics were 0.62 and 0.72 for stunting and underweight, respectively. When spatial weights were considered, the autoregression model noticeably became stronger in predicting the prevalence of stunting and underweight.

Conclusions: Evidence on significant correlates and spatial dependence of anthropometric failure shed the importance of strengthening multisectoral convergence in various nutrition-specific and nutrition-sensitive interventions in combating the anthropometric failures in the context of nature and patterns emerging in various hotspots and cold spots.

免责声明: 此摘要通过人工智能工具翻译,尚未经过审核或验证。