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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...

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Autores principales: Joshi, Ashish, Arora, Arushi, Amadi-Mgbenka, Chioma, Mittal, Nidhi, Sharma, Shruti, Malhotra, Bhavya, Grover, Ashoo, Misra, Archa, Loomba, Menka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
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.
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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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