Spatial dependency in child malnutrition across 640 districts in India: need for context-specific planning and interventions

被引:0
|
作者
Vennam, Thirumal Reddy [1 ,2 ]
Agnihotri, Satish B. [1 ]
Chinnasamy, Pennan [1 ,2 ]
机构
[1] Indian Inst Technol, Ctr Technol Alternat Rural Areas, Mumbai 400076, Maharashtra, India
[2] Indian Inst Technol, Rural Data Res & Anal RuDRA Lab, Mumbai 400076, Maharashtra, India
关键词
Malnutrition in India; malnutrition interventions; child malnutrition; food and nutrition; PCA; DEVELOPING-COUNTRIES; MATERNAL HEIGHT; UNDERNUTRITION;
D O I
10.1093/pubmed/fdac035
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background Child malnutrition remains a matter of concern in India as the current levels are high and the decline is slow. National Family Health Survey (NFHS-4, 2015-16) data, for the first time, provides credible, good quality data at district level on social, household and health characteristics. Methods Techniques of spatial analysis on data in respect of 640 districts were used to identify spatial characteristics of the nutrition levels for children in the 0-60-month age group. Further, the principal component analysis (PCA) was used to identify 7 important correlates of the malnutrition out of 21 relevant components provided in the NFHS-4. The paper further uses three techniques, ordinary least squares (OLS), spatial lag model (SLM) and spatial error model (SEM) to assess the strength of correlation between the malnutrition levels and the shortlisted correlates. Results The use of SLM and SEM shows improvement in the strength of the association (high R-square) compared to OLS. Women's height and Iodized salt in stunting, child anaemia in wasting, women's height and child anaemia in underweight were found to be significant factors (P < 0.01) along with spatial autoregressive constant. Conclusions Such analysis, in combination with PCA, has shown to be more effective in prioritizing the programme interventions for tackling child malnutrition.
引用
收藏
页码:267 / 273
页数:7
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