Evidence map›Paper›PMID 38011188›Full record

ArticlePloS one2023

Examining the disparities: A cross-sectional study of socio-economic factors and food insecurity in Togo.

Komlan Kota, Marie-Hélène Chomienne, Sanni Yaya

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
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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5 · Who and what money

Authors and funding

3 authors.

Komlan KotaInterdisciplinary School of Health Sciences, Faculty of Health Sciences, University of Ottawa, Ontario, Canada.
Marie-Hélène ChomienneDepartment of Family Medicine, Faculty of Medicine, University of Ottawa, Ottawa, Canada.ORCID 0000-0001-8035-3428
Sanni YayaSchool of International Development and Global Studies, University of Ottawa, Ottawa, Ontario.ORCID 0000-0002-6003-139X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite many interventions, Togo continues to have one of the highest rates of poverty and food insecurity in the sub-Saharan African region. Currently there is no systematic analysis of the factors associated with household food-insecurity in this country. This study aimed at exploring the factors associated with food insecurity in Togo.

methodsThis was a cross-sectional study that used data from five waves (2014 to 2018) of the Gallup World Poll (GWP) for Togo. Sample size included 4754 participants, aged 15 and above. Food insecurity was measured using the Food Insecurity Experience Scale (FIES) questionnaire as per the Food and Agricultural Organization (FAO) guidelines. Our outcome variable was food insecurity, categorized as: 1) food secure (FIES score = 0-3), moderately food insecure (FIES score = 4-6), and severely food insecure (FIES score = 7-8). We did descriptive and multinomial regressions to analyze data using Stata version 16.

resultsBetween 2014 and 2018, the percentage of severe food insecurity fluctuated-42.81% in 2014, 37.79% in 2015, 38.98% in 2016, 45.41% in 2017, and 33.84% in 2018. Whereas that of moderate food insecurity increased from 23.55% to 27.33% except for 2016 and 2017 where the percentage increased to 32.33% and 27.46% respectively. In the logistic regression analysis, we found that respondents with lower than elementary education had a higher relative risk ratio of moderate (RRR = 1.45,95%CI = 1.22-1.72) and severe (RRR = 1.72, 95%CI = 1.46-2.02) food insecurity compared to those with secondary and higher education. Rural respondents had higher RRR of severe food insecurity (RRR = 1.37, 95%CI = 1.16-1.62) compared to those who lived in the urban areas. Compared with those in the richest wealth quintile, respondents in the poorest wealth quintile had 2.21 times higher RRR of moderate (RRR = 2.21, 95%CI = 1.69-2.87) and 3.58 times higher RRR of severe (RRR = 3.58, 95%CI = 2.81-4.55) food insecurity.

conclusionAbout two-thirds of participants experienced some level of food insecurity in 2018. Lower levels of education, rural residency and poorer household wealth index areas were associated with a higher risk of food insecurity. National food security programs should focus on promoting education and improving socioeconomic condition of people especially in rural areas.

Indexed as

Food InsecurityFood SupplyCross-Sectional StudiesEconomic FactorsHumansSocioeconomic FactorsTogo

Identifiers

PMID38011188
PMCPMC10681261

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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.