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Burden of household food insecurity in urban slum settings
This study examined the burden of food insecurity in India’s un-notified slums, using an SDG framework to identify correlates of food insecurity. A convenience sampling approach was employed in selecting 38 slums from 675 un-notified slums across four geographic zones. Ten percent of the households...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6445475/ https://www.ncbi.nlm.nih.gov/pubmed/30939157 http://dx.doi.org/10.1371/journal.pone.0214461 |
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author | Joshi, Ashish Arora, Arushi Amadi-Mgbenka, Chioma Mittal, Nidhi Sharma, Shruti Malhotra, Bhavya Grover, Ashoo Misra, Archa Loomba, Menka |
author_facet | Joshi, Ashish Arora, Arushi Amadi-Mgbenka, Chioma Mittal, Nidhi Sharma, Shruti Malhotra, Bhavya Grover, Ashoo Misra, Archa Loomba, Menka |
author_sort | Joshi, Ashish |
collection | PubMed |
description | This study examined the burden of food insecurity in India’s un-notified slums, using an SDG framework to identify correlates of food insecurity. A convenience sampling approach was employed in selecting 38 slums from 675 un-notified slums across four geographic zones. Ten percent of the households in each slum site were selected from each zone, and one household member was interviewed, based on their availability and fulfilment of the eligibility criteria. Eligible individuals included those aged 18 years and above, who were resident in the selected slums and provided consent. Individuals with mental or physical challenges were excluded. A total sample of 907 study participants were included. Results showed that 43% (n = 393) of the participants were food insecure. More than half were females (73%, n = 285), who had not completed any schooling (51%, n = 202). One-third (n = 128) resided in the Northern Region of Delhi. SDG-related predictors of food insecurity included: household educational level (SDG 4 Quality education) (p = 0.03), coverage of health service needs (SDG 3 Good health and well-being) (p = 0.0002), electricity needs (SDG 7 affordable and clean energy) (p<0.0001), and employment needs (SDG 8 Decent and economic growth) (p = 0.003). Having healthcare needs that were partially or fully met was equally associated with higher food insecurity: this could be attributed to high healthcare costs and the lack of federal subsidies in un-notified slums, collectively contributing to high out-of-pocket health costs. Failure to fully meet employment needs was also significantly associated with higher food insecurity. However, met needs for electricity, finance, women’s safety and satisfactory family relationships, were associated with lower food insecurity. Household predictors of food insecurity included: number of household members, and the presence of physically disabled household members. Necessary interventions should include connecting food insecure households to existing social services such as India’s Public Distribution System, and multi-sector partnerships to address the existing challenges. |
format | Online Article Text |
id | pubmed-6445475 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-64454752019-04-17 Burden of household food insecurity in urban slum settings Joshi, Ashish Arora, Arushi Amadi-Mgbenka, Chioma Mittal, Nidhi Sharma, Shruti Malhotra, Bhavya Grover, Ashoo Misra, Archa Loomba, Menka PLoS One Research Article This study examined the burden of food insecurity in India’s un-notified slums, using an SDG framework to identify correlates of food insecurity. A convenience sampling approach was employed in selecting 38 slums from 675 un-notified slums across four geographic zones. Ten percent of the households in each slum site were selected from each zone, and one household member was interviewed, based on their availability and fulfilment of the eligibility criteria. Eligible individuals included those aged 18 years and above, who were resident in the selected slums and provided consent. Individuals with mental or physical challenges were excluded. A total sample of 907 study participants were included. Results showed that 43% (n = 393) of the participants were food insecure. More than half were females (73%, n = 285), who had not completed any schooling (51%, n = 202). One-third (n = 128) resided in the Northern Region of Delhi. SDG-related predictors of food insecurity included: household educational level (SDG 4 Quality education) (p = 0.03), coverage of health service needs (SDG 3 Good health and well-being) (p = 0.0002), electricity needs (SDG 7 affordable and clean energy) (p<0.0001), and employment needs (SDG 8 Decent and economic growth) (p = 0.003). Having healthcare needs that were partially or fully met was equally associated with higher food insecurity: this could be attributed to high healthcare costs and the lack of federal subsidies in un-notified slums, collectively contributing to high out-of-pocket health costs. Failure to fully meet employment needs was also significantly associated with higher food insecurity. However, met needs for electricity, finance, women’s safety and satisfactory family relationships, were associated with lower food insecurity. Household predictors of food insecurity included: number of household members, and the presence of physically disabled household members. Necessary interventions should include connecting food insecure households to existing social services such as India’s Public Distribution System, and multi-sector partnerships to address the existing challenges. Public Library of Science 2019-04-02 /pmc/articles/PMC6445475/ /pubmed/30939157 http://dx.doi.org/10.1371/journal.pone.0214461 Text en © 2019 Joshi 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 Joshi, Ashish Arora, Arushi Amadi-Mgbenka, Chioma Mittal, Nidhi Sharma, Shruti Malhotra, Bhavya Grover, Ashoo Misra, Archa Loomba, Menka Burden of household food insecurity in urban slum settings |
title | Burden of household food insecurity in urban slum settings |
title_full | Burden of household food insecurity in urban slum settings |
title_fullStr | Burden of household food insecurity in urban slum settings |
title_full_unstemmed | Burden of household food insecurity in urban slum settings |
title_short | Burden of household food insecurity in urban slum settings |
title_sort | burden of household food insecurity in urban slum settings |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6445475/ https://www.ncbi.nlm.nih.gov/pubmed/30939157 http://dx.doi.org/10.1371/journal.pone.0214461 |
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