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Regional differences in agricultural and socioeconomic factors associated with farmer household dietary diversity in India
This paper investigated whether there are any regional-level differences in factors associated with farmer household dietary diversity using the Food Consumption Score (FCS), in two states of India: Haryana and Gujarat. Our results suggest that the factors associated with farmer household dietary di...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7161949/ https://www.ncbi.nlm.nih.gov/pubmed/32298281 http://dx.doi.org/10.1371/journal.pone.0231107 |
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author | Singh, Sukhwinder Jones, Andrew D. Jain, Meha |
author_facet | Singh, Sukhwinder Jones, Andrew D. Jain, Meha |
author_sort | Singh, Sukhwinder |
collection | PubMed |
description | This paper investigated whether there are any regional-level differences in factors associated with farmer household dietary diversity using the Food Consumption Score (FCS), in two states of India: Haryana and Gujarat. Our results suggest that the factors associated with farmer household dietary diversity were region-specific, with diverse drivers across districts. For example, in Vadodara (Gujarat), farmers who had greater crop diversity and planted more cash crops had higher dietary diversity while large landholders in Bhavnagar (Gujarat) had higher dietary diversity. In Karnal (Haryana), more educated farmer households and those who cultivated large landholdings had higher dietary diversity while farmers in Bhiwani (Haryana) who were more educated and sold more crops to market had higher dietary diversity. Thus, factors associated with FCS differed even within the same state. These results suggest that in some regions of India, higher crop diversity and better education could improve farmer household dietary diversity. On the other hand, in some other regions, dietary diversity is best improved through the income generation pathway, where households that earn increased income from selling more crops were able to purchase more diverse food from markets. Our study suggests that the drivers of household dietary diversity across rural India are complex and heterogeneous; thus, future policies and programs to improve farmer household nutrition should be tailored considering regional differences in the factors associated with household nutrition. |
format | Online Article Text |
id | pubmed-7161949 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-71619492020-04-21 Regional differences in agricultural and socioeconomic factors associated with farmer household dietary diversity in India Singh, Sukhwinder Jones, Andrew D. Jain, Meha PLoS One Research Article This paper investigated whether there are any regional-level differences in factors associated with farmer household dietary diversity using the Food Consumption Score (FCS), in two states of India: Haryana and Gujarat. Our results suggest that the factors associated with farmer household dietary diversity were region-specific, with diverse drivers across districts. For example, in Vadodara (Gujarat), farmers who had greater crop diversity and planted more cash crops had higher dietary diversity while large landholders in Bhavnagar (Gujarat) had higher dietary diversity. In Karnal (Haryana), more educated farmer households and those who cultivated large landholdings had higher dietary diversity while farmers in Bhiwani (Haryana) who were more educated and sold more crops to market had higher dietary diversity. Thus, factors associated with FCS differed even within the same state. These results suggest that in some regions of India, higher crop diversity and better education could improve farmer household dietary diversity. On the other hand, in some other regions, dietary diversity is best improved through the income generation pathway, where households that earn increased income from selling more crops were able to purchase more diverse food from markets. Our study suggests that the drivers of household dietary diversity across rural India are complex and heterogeneous; thus, future policies and programs to improve farmer household nutrition should be tailored considering regional differences in the factors associated with household nutrition. Public Library of Science 2020-04-16 /pmc/articles/PMC7161949/ /pubmed/32298281 http://dx.doi.org/10.1371/journal.pone.0231107 Text en © 2020 Singh et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Singh, Sukhwinder Jones, Andrew D. Jain, Meha Regional differences in agricultural and socioeconomic factors associated with farmer household dietary diversity in India |
title | Regional differences in agricultural and socioeconomic factors associated with farmer household dietary diversity in India |
title_full | Regional differences in agricultural and socioeconomic factors associated with farmer household dietary diversity in India |
title_fullStr | Regional differences in agricultural and socioeconomic factors associated with farmer household dietary diversity in India |
title_full_unstemmed | Regional differences in agricultural and socioeconomic factors associated with farmer household dietary diversity in India |
title_short | Regional differences in agricultural and socioeconomic factors associated with farmer household dietary diversity in India |
title_sort | regional differences in agricultural and socioeconomic factors associated with farmer household dietary diversity in india |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7161949/ https://www.ncbi.nlm.nih.gov/pubmed/32298281 http://dx.doi.org/10.1371/journal.pone.0231107 |
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