Households Food Insecurity and Related Factors in North Localities, Kassala State, Eastern Sudan

Mohamed Abd Alrazik Desogi^1, , Fatima Abbas Khalid², Awadia Khojali Mohamed³, Asma Mahmoud Hamza⁴, Sarah Salih Mohammed⁵, Abdualmoniem Omer Abdalla⁶, Isameldin Mustafa Mohamed⁷, Mahgoub Ali Adam¹ and Abdalla Ali Mohammed³

¹Department of Pediatrics, Faculty of Medicine & Health Sciences, University of Kassala, Kassala, Sudan

²Department of Biochemistry, Faculty of Science, University of Kassala, Kassala, Sudan

³Department of Obstetrics and Gynecology, Faculty of Medicine& Health Sciences, University of Kassala, Kassala, Sudan

⁴Department of Biology, Faculty of Education, University of Kassala, Kassala, Sudan

⁵Department of Nursing, Faculty of Medicine & health Sciences, University of Kassala, Kassala, Sudan

⁶Department of Microbiology, Faculty of Medicine & Health Sciences, University of Kassala, Kassala, Sudan

⁷Department of Geography, Faculty of Education, University of Kassala, Kassala, Sudan

Cite this paper

Mohamed Abd Alrazik Desogi, Fatima Abbas Khalid, Awadia Khojali Mohamed, Asma Mahmoud Hamza, Sarah Salih Mohammed, Abdualmoniem Omer Abdalla, Isameldin Mustafa Mohamed, Mahgoub Ali Adam and Abdalla Ali Mohammed. Households Food Insecurity and Related Factors in North Localities, Kassala State, Eastern Sudan. Journal of Food Security. 2021; 9(1):25-28. doi: 10.12691/JFS-9-1-4

Abstract

Background: Eastern Sudan suffered from poverty, drought and climatic changed that increase the burden of food insecurity. Method: This is a cross sectional study conducted in a remote locality in Kassala State (Eastern Sudan), to determine the magnitude and relating factors of household food insecurity. We studied 445 households in 16 villages. We used specially designed structured questionnaire. We used food consumption score (FCS) to measure household food insecurity . Data were analyzed using SPSS version 20.0 statistical package. Frequencies and Chi² were performed. Multivariable logistic regression was used to develop the final model indicating the predictors of the outcome variable. Results: Food insecurity and vulnerability for food insecurity is found in 181 (38.7%) of household studied. Eating habits and avoidance of certain types of food was found among other contributing factors. The study included 445 households, 181 (38.7%) of them were food insecure or vulnerable to be insecure. A high percentage (67.2%) was reported in Hamishokreib locality. There were significant associations (P < 0.001) between household's food insecurity and income, household size, number of children, eating habits and avoidance of certain types of food. Conclusion: According to the study findings, more attention is needed to improve household food security in the study area .Good eating habits can be achieved by designing education programs to improve knowledge, skills, and attitudes related to healthy eating and food preparation and overall, increasing household income through improving the farming methods, and finding the alternative sources of income.

Keywords

households, food insecurity, related factors, Kassala state, Eastern Sudan

Copyright

This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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