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Socio-demographic and geographic disparities of population-level food insecurity during the COVID-19 pandemic in Thailand
INTRODUCTION: This study investigated the prevalence of food insecurity, and the association between socio-demographic and geographic factors and food insecurity in Thailand during the COVID-19 pandemic. METHODS: The study extracted data on 5,066 persons age 15 years or older from a nationally-repre...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9880195/ https://www.ncbi.nlm.nih.gov/pubmed/36711351 http://dx.doi.org/10.3389/fpubh.2022.1071814 |
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author | Phulkerd, Sirinya Thongcharoenchupong, Natjera Chamratrithirong, Aphichat Gray, Rossarin Soottipong Pattaravanich, Umaporn Ungchusak, Chantana Saonuam, Pairoj |
author_facet | Phulkerd, Sirinya Thongcharoenchupong, Natjera Chamratrithirong, Aphichat Gray, Rossarin Soottipong Pattaravanich, Umaporn Ungchusak, Chantana Saonuam, Pairoj |
author_sort | Phulkerd, Sirinya |
collection | PubMed |
description | INTRODUCTION: This study investigated the prevalence of food insecurity, and the association between socio-demographic and geographic factors and food insecurity in Thailand during the COVID-19 pandemic. METHODS: The study extracted data on 5,066 persons age 15 years or older from a nationally-representative sample survey of Thai households, conducted during June-December 2021. The respondents were asked about food insecurity, socio-demographic characteristics, debt, and role of the primary household food provider. Binary logistic regression analysis was used to investigate the association between the variables and food insecurity. RESULTS: Of the total sample, 28.6% had food insecurity. The highest probability of having food insecurity (p < 0.001) was observed in persons age 15–29 years, with no formal education, and in the lowest quartile of income. The highest probability of having food insecurity was found among respondents residing in the northeast, which is the poorest and with the least development status among geographic regions in Thailand. Respondents who reported having onerous personal debt and being the main household food provider were 1.4 and 2.3 times as likely to have food insecurity as those with no debt and not being the main food provider, respectively (p < 0.001). CONCLUSION: This suggests that government attention is required in developing policies and strategies to improve food security through addressing the socio-economic determinants, and buffer the negative impact of a national crisis on diets. Investment to improve household income and raise the educational profile of the population is needed. Addressing the regional disparities in food security requires area-specific measures which target the most vulnerable population groups. |
format | Online Article Text |
id | pubmed-9880195 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98801952023-01-28 Socio-demographic and geographic disparities of population-level food insecurity during the COVID-19 pandemic in Thailand Phulkerd, Sirinya Thongcharoenchupong, Natjera Chamratrithirong, Aphichat Gray, Rossarin Soottipong Pattaravanich, Umaporn Ungchusak, Chantana Saonuam, Pairoj Front Public Health Public Health INTRODUCTION: This study investigated the prevalence of food insecurity, and the association between socio-demographic and geographic factors and food insecurity in Thailand during the COVID-19 pandemic. METHODS: The study extracted data on 5,066 persons age 15 years or older from a nationally-representative sample survey of Thai households, conducted during June-December 2021. The respondents were asked about food insecurity, socio-demographic characteristics, debt, and role of the primary household food provider. Binary logistic regression analysis was used to investigate the association between the variables and food insecurity. RESULTS: Of the total sample, 28.6% had food insecurity. The highest probability of having food insecurity (p < 0.001) was observed in persons age 15–29 years, with no formal education, and in the lowest quartile of income. The highest probability of having food insecurity was found among respondents residing in the northeast, which is the poorest and with the least development status among geographic regions in Thailand. Respondents who reported having onerous personal debt and being the main household food provider were 1.4 and 2.3 times as likely to have food insecurity as those with no debt and not being the main food provider, respectively (p < 0.001). CONCLUSION: This suggests that government attention is required in developing policies and strategies to improve food security through addressing the socio-economic determinants, and buffer the negative impact of a national crisis on diets. Investment to improve household income and raise the educational profile of the population is needed. Addressing the regional disparities in food security requires area-specific measures which target the most vulnerable population groups. Frontiers Media S.A. 2023-01-13 /pmc/articles/PMC9880195/ /pubmed/36711351 http://dx.doi.org/10.3389/fpubh.2022.1071814 Text en Copyright © 2023 Phulkerd, Thongcharoenchupong, Chamratrithirong, Gray, Pattaravanich, Ungchusak and Saonuam. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Phulkerd, Sirinya Thongcharoenchupong, Natjera Chamratrithirong, Aphichat Gray, Rossarin Soottipong Pattaravanich, Umaporn Ungchusak, Chantana Saonuam, Pairoj Socio-demographic and geographic disparities of population-level food insecurity during the COVID-19 pandemic in Thailand |
title | Socio-demographic and geographic disparities of population-level food insecurity during the COVID-19 pandemic in Thailand |
title_full | Socio-demographic and geographic disparities of population-level food insecurity during the COVID-19 pandemic in Thailand |
title_fullStr | Socio-demographic and geographic disparities of population-level food insecurity during the COVID-19 pandemic in Thailand |
title_full_unstemmed | Socio-demographic and geographic disparities of population-level food insecurity during the COVID-19 pandemic in Thailand |
title_short | Socio-demographic and geographic disparities of population-level food insecurity during the COVID-19 pandemic in Thailand |
title_sort | socio-demographic and geographic disparities of population-level food insecurity during the covid-19 pandemic in thailand |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9880195/ https://www.ncbi.nlm.nih.gov/pubmed/36711351 http://dx.doi.org/10.3389/fpubh.2022.1071814 |
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