Cultural and contextual drivers of triple burden of malnutrition among children in India
This study examines malnutrition’s triple burden, including anaemia, overweight, and stunting, among children aged 6–59 months. Using data from the National Family Health Survey-5 (2019–2021), the study identifies risk factors and assesses their contribution at different levels to existing malnutrit...
| Main Authors: | , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
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MDPI
2023
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/140000 |
| _version_ | 1855521665093468160 |
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| author | Singh, Shri Kant Chauhan, Alka Sharma, Santosh Kumar Puri, Parul Pedgaonkar, Sarang Dwivedi, Laxmi Kant Taillie, Lindsey Smith |
| author_browse | Chauhan, Alka Dwivedi, Laxmi Kant Pedgaonkar, Sarang Puri, Parul Sharma, Santosh Kumar Singh, Shri Kant Taillie, Lindsey Smith |
| author_facet | Singh, Shri Kant Chauhan, Alka Sharma, Santosh Kumar Puri, Parul Pedgaonkar, Sarang Dwivedi, Laxmi Kant Taillie, Lindsey Smith |
| author_sort | Singh, Shri Kant |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This study examines malnutrition’s triple burden, including anaemia, overweight, and stunting, among children aged 6–59 months. Using data from the National Family Health Survey-5 (2019–2021), the study identifies risk factors and assesses their contribution at different levels to existing malnutrition burden. A random intercept multilevel logistic regression model and spatial analysis are employed to identify child, maternal, and household level risk factors for stunting, overweight, and anaemia. The study finds that 34% of children were stunted, 4% were overweight, and 66% were anaemic. Stunting and anaemia prevalence were higher in central and eastern regions, while overweight was more prevalent in the north-eastern and northern regions. At the macro-level, the coexistence of stunting, overweight, and anaemia circumstantiates the triple burden of childhood malnutrition with substantial spatial variation (Moran’s I: stunting-0.53, overweight-0.41, and anaemia-0.53). Multilevel analysis reveals that child, maternal, and household variables play a substantial role in determining malnutrition burden in India. The nutritional health is significantly influenced by a wide range of determinants, necessitating multilevel treatments targeting households to address this diverse group of coexisting factors. Given the intra-country spatial heterogeneity, the treatment also needs to be tailor-made for various disaggregated levels. |
| format | Journal Article |
| id | CGSpace140000 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI |
| publisherStr | MDPI |
| record_format | dspace |
| spelling | CGSpace1400002025-12-08T10:29:22Z Cultural and contextual drivers of triple burden of malnutrition among children in India Singh, Shri Kant Chauhan, Alka Sharma, Santosh Kumar Puri, Parul Pedgaonkar, Sarang Dwivedi, Laxmi Kant Taillie, Lindsey Smith anaemia data surveys malnutrition child stunting overweight This study examines malnutrition’s triple burden, including anaemia, overweight, and stunting, among children aged 6–59 months. Using data from the National Family Health Survey-5 (2019–2021), the study identifies risk factors and assesses their contribution at different levels to existing malnutrition burden. A random intercept multilevel logistic regression model and spatial analysis are employed to identify child, maternal, and household level risk factors for stunting, overweight, and anaemia. The study finds that 34% of children were stunted, 4% were overweight, and 66% were anaemic. Stunting and anaemia prevalence were higher in central and eastern regions, while overweight was more prevalent in the north-eastern and northern regions. At the macro-level, the coexistence of stunting, overweight, and anaemia circumstantiates the triple burden of childhood malnutrition with substantial spatial variation (Moran’s I: stunting-0.53, overweight-0.41, and anaemia-0.53). Multilevel analysis reveals that child, maternal, and household variables play a substantial role in determining malnutrition burden in India. The nutritional health is significantly influenced by a wide range of determinants, necessitating multilevel treatments targeting households to address this diverse group of coexisting factors. Given the intra-country spatial heterogeneity, the treatment also needs to be tailor-made for various disaggregated levels. 2023-08-06 2024-03-14T12:08:48Z 2024-03-14T12:08:48Z Journal Article https://hdl.handle.net/10568/140000 en Open Access MDPI Singh, Shri Kant; Chauhan, Alka; Sharma, Santosh Kumar; Puri, Parul; Pedgaonkar, Sarang; Dwivedi, Laxmi Kant; and Taillie, Lindsey Smith. 2023. Cultural and contextual drivers of triple burden of malnutrition among children in India. Nutrients 15(15): 3478. https://doi.org/10.3390/nu15153478 |
| spellingShingle | anaemia data surveys malnutrition child stunting overweight Singh, Shri Kant Chauhan, Alka Sharma, Santosh Kumar Puri, Parul Pedgaonkar, Sarang Dwivedi, Laxmi Kant Taillie, Lindsey Smith Cultural and contextual drivers of triple burden of malnutrition among children in India |
| title | Cultural and contextual drivers of triple burden of malnutrition among children in India |
| title_full | Cultural and contextual drivers of triple burden of malnutrition among children in India |
| title_fullStr | Cultural and contextual drivers of triple burden of malnutrition among children in India |
| title_full_unstemmed | Cultural and contextual drivers of triple burden of malnutrition among children in India |
| title_short | Cultural and contextual drivers of triple burden of malnutrition among children in India |
| title_sort | cultural and contextual drivers of triple burden of malnutrition among children in india |
| topic | anaemia data surveys malnutrition child stunting overweight |
| url | https://hdl.handle.net/10568/140000 |
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