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      Magnitude of urban household food insecurity in East Africa: a systematic review and meta-analysis

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          Abstract

          Objective:

          The purpose of this study was to determine the magnitude and determinants of urban household food insecurity in East Africa.

          Design:

          Systematic review and meta-analysis.

          Setting:

          Studies conducted in East Africa.

          Participants:

          Seventeen studies (fifteen cross-sectional and two cohort) that enrolled 156 996 households. We used the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines to search electronic databases (PubMed, Cochrane Library, EMBASE, CINAHL, African Journals OnLine, Web of Science, Scopus and Google Scholar; date of last search: 10 June 2020) for studies reporting the prevalence and associated factors of urban household food insecurity.

          Results:

          A total of 17 studies with 156 996 households from 8 countries were used for the analysis. The pooled prevalence of urban household food insecurity in East Africa was 60·91 % (95 % CI 47·72, 74·11; I 2 = 100 %; P < 0·001) where the highest (91 %) and lowest (36·5 %) was observed in Sudan and Burundi, respectively. Household head educational status (illiterate) (AOR = 2·53; 95 % CI 2·11, 2·95, I 2 = 90 %; P < 0·01), female as household head (AOR = 1·45; 95 % CI 1·16, 1·75; I 2 = 0·0 %; P = 0·993), large family size (AOR = 1·43; 95 % CI 1·09, 1·76, I 2 = 0·0 %; P = 0·863) and poorest wealth quantile (AOR = 3·95; 95 % CI 1·93, 5·98; I 2 = 57·2 %, P = 0·053) were factors which significantly increased odds of urban household food insecurity in East Africa.

          Conclusions:

          The prevalence of urban household food insecurity in East Africa remains high. Therefore, policies and intervention programmes should be designed to reduce the high burden of food insecurity among urban households considering the identified factors.

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          Most cited references83

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          Measuring inconsistency in meta-analyses.

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            Bias in meta-analysis detected by a simple, graphical test

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              Quantifying heterogeneity in a meta-analysis.

              The extent of heterogeneity in a meta-analysis partly determines the difficulty in drawing overall conclusions. This extent may be measured by estimating a between-study variance, but interpretation is then specific to a particular treatment effect metric. A test for the existence of heterogeneity exists, but depends on the number of studies in the meta-analysis. We develop measures of the impact of heterogeneity on a meta-analysis, from mathematical criteria, that are independent of the number of studies and the treatment effect metric. We derive and propose three suitable statistics: H is the square root of the chi2 heterogeneity statistic divided by its degrees of freedom; R is the ratio of the standard error of the underlying mean from a random effects meta-analysis to the standard error of a fixed effect meta-analytic estimate, and I2 is a transformation of (H) that describes the proportion of total variation in study estimates that is due to heterogeneity. We discuss interpretation, interval estimates and other properties of these measures and examine them in five example data sets showing different amounts of heterogeneity. We conclude that H and I2, which can usually be calculated for published meta-analyses, are particularly useful summaries of the impact of heterogeneity. One or both should be presented in published meta-analyses in preference to the test for heterogeneity. Copyright 2002 John Wiley & Sons, Ltd.
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                Author and article information

                Journal
                Public Health Nutr
                Public Health Nutr
                PHN
                Public Health Nutrition
                Cambridge University Press (Cambridge, UK )
                1368-9800
                1475-2727
                April 2022
                16 August 2021
                : 25
                : 4
                : 994-1004
                Affiliations
                [1 ]College of Health Science, Addis Ababa University , PO Box 13386, Addis Ababa, Ethiopia
                [2 ]Woldia University , College of Health Sciences, Department of Nursing, Woldia, Ethiopia
                [3 ]Department of Health Studies, College of Human Science, University of South Africa , Pretoria, UNISA, South Africa
                [4 ]Center of Food Science and Nutrition, Addis Ababa University , Addis Ababa, Ethiopia
                Author notes
                [* ] Corresponding author: Email bdpapi3@ 123456gmail.com
                Author information
                https://orcid.org/0000-0002-4875-8377
                https://orcid.org/0000-0002-7582-5977
                Article
                S1368980021003529
                10.1017/S1368980021003529
                9991803
                34392860
                c3d8108a-c7eb-4cdf-a6c0-3292d88bdf62
                © The Authors 2021

                This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 17 February 2021
                : 13 July 2021
                : 09 August 2021
                Page count
                Figures: 6, Tables: 2, References: 74, Pages: 11
                Categories
                Review Article
                Community Nutrition

                Public health
                urban household,food insecurity,eastern africa,meta-analysis
                Public health
                urban household, food insecurity, eastern africa, meta-analysis

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