Evidence map›Paper›PMID 36187611›Full record

ArticleFrontiers in public health2022

How did the COVID-19 pandemic affect food environment, food purchase, and fish consumption among low-income urban households in Bangladesh-A path analysis.

Mahsina Syeda Akter, Elise F Talsma, Edith J M Feskens, Shakuntala H Thilsted, Sabrina Rasheed

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Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Mahsina Syeda AkterDivision of Human Nutrition and Health, Wageningen University and Research, Wageningen, Netherlands.
Elise F TalsmaDivision of Human Nutrition and Health, Wageningen University and Research, Wageningen, Netherlands.
Edith J M FeskensDivision of Human Nutrition and Health, Wageningen University and Research, Wageningen, Netherlands.
Shakuntala H ThilstedWorldFish, Penang, Malaysia.
Sabrina RasheedHealth Systems and Population Studies Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Animal source foods, especially fish is the most commonly consumed and an important source of macro and micronutrients in the diet of the urban low-income residents. The COVID-19 pandemic has disrupted the food environment in Bangladesh but little is known about how food access and food prices (affordability) have affected the purchase and consumption of fish. The objective of the study was to understand the impact of the first wave of the COVID-19 pandemic on urban food environment with a specific focus on fish consumption. Methods: A cross-sectional survey was conducted among 586 homogeneous adults (288 females and 298 males) from separate households from five informal settlements in Dhaka city, Bangladesh during October-November 2020. Data were collected on: (1) food access and affordably; and (2) food purchase and fish consumption. The associations between food access, price, food purchase, and fish consumption were evaluated using path analysis. Results: The majority of respondents reported that food access was more difficult, food prices increased, and food purchase decreased during the COVID-19 pandemic compared to pre-COVID (84-89% of respondents). Fish and meat were more difficult to access, more expensive and purchased less compared to other foods (74-91% of respondents). Compared to pre-COVID period, households consumed less fish during the COVID-19 pandemic, and reported compromised the variety and quality of fish. In the path analysis, food access was associated with food purchase ( Conclusions: The COVID-19 pandemic negatively affected the food environment, particularly food access, price (affordability), purchase, and consumption, especially of fish. Limited food access negatively affected the quantity, variety and quality of fish consumed. An increase in food prices directly affected the quality of fish consumed. Policy actions are essential to ensure equal access to nutritious foods, such as fish. These policies need to focus on diversity and quality along with preventing increases in food prices during emergencies to mitigate future threats to the nutrition and health of the urban low-income residents.

Indexed as

COVID-19AnimalsBangladeshCross-Sectional StudiesFemaleHumansMaleMicronutrientsPandemicsMicronutrientsaffordabilityCOVID-19 pandemicfish consumptionfood accessfood environmentfood priceinformal settlementsurban poor

Identifiers

PMID36187611
PMCPMC9521681

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LicenceCC BY
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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.