Evidence map›Paper›PMID 39806508›Full record

ArticleJournal of health, population, and nutrition2025

Food needs and health behaviors in the COVID-19 situation: a case study of quarantined communities in densely populated areas of Bangkok, Thailand.

Areeya Jirathananuwat, Suteera Saenmontrikul, Arunee Hengyotmark, Krittanan Pensirisomboon

Abstract read
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Article in Journal of health, population, and nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Areeya JirathananuwatDepartment of Health Technology, Faculty of Sciences and Health Technology, Navamindradhiraj University, 3 Khao Rd. Vajirapayaban Dusit, Bangkok, 10300, Thailand. areeya@nmu.ac.th.
Suteera SaenmontrikulDepartment of General Education, Faculty of Sciences and Health Technology, Navamindradhiraj University, 3 Khao Rd. Vajirapayaban Dusit, Bangkok, 10300, Thailand.
Arunee HengyotmarkCollege of Nursing and Health, Suan Sunandha Rajabhat University, 1 U- Thong nok Rd. Dusit, Bangkok, 10300, Thailand.
Krittanan PensirisomboonDepartment of General Education, Faculty of Sciences and Health Technology, Navamindradhiraj University, 3 Khao Rd. Vajirapayaban Dusit, Bangkok, 10300, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Thai government's initial response to the novel coronavirus disease 2019 (COVID-19) led to confusion and food insecurity in quarantined low-income communities. Although free food programs were initiated, no official assessment of their impact exists. The objective of this study was to evaluate the effectiveness of these food programs by surveying the food requirements, food needs, and health behaviors of quarantined, densely populated communities in Bangkok.

methodsA cross-sectional descriptive study was conducted with 410 urban dwellers from quarantined communities who received free food assistance. Data were collected via a questionnaire on food requirements, food hygiene, food needs, and health behaviors during the COVID-19 epidemic. The data were analyzed in terms of frequency, percentage, mean, and standard deviation. The associations between demographic characteristics, food needs, and health behaviors were analyzed using logistic regression.

resultsThe participants demanded dried/canned food (54.9%) and three meals per day (64.9%), while the majority of the food provided consisted of rice and side dishes (96.2%) that were clean and qualified. In consideration of food needs, a high level of demand was observed in the first three levels: enough food, acceptable food, and reliability. Overall, dietary health behaviors were good. Logistic regression analysis revealed that being elderly (AOR = 3.67, 95% CI = 1.63-8.27) and having a moderate to high income level (AOR = 3.93, 95% CI = 2.23-6.94) were positively correlated with food needs. Similarly, good health behaviors were positively correlated with being female (AOR = 1.74, 95% CI = 1.12-2.69), being elderly (AOR = 3.73, 95% CI = 1.72-8.08), and having a moderate to high income level (AOR = 3.76, 95% CI = 2.38-5.93).

conclusionsPreparing for future crises requires the consideration of demographic factors that influence food needs, personal choices, and dietary health behaviors. Future food assistance programs should focus on the provision of nonperishable and long-lasting food, which will ensure the consistent availability of three meals per day.

Indexed as

COVID-19Food SupplyHealth BehaviorQuarantineAdolescentAdultAgedCross-Sectional StudiesFemaleFood AssistanceFood InsecurityHumansMaleMiddle AgedSARS-CoV-2Surveys and QuestionnairesCOVID-19Dietary behaviorsFood requirementsHealth behaviors

Identifiers

PMID39806508
PMCPMC11731402

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.