1Department of Community Health and Behavioural Sciences, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda
2Department of Epidemiology and Biostatistics, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda
Journal of Food Security.
2017,
Vol. 5 No. 4, 120-128
DOI: 10.12691/jfs-5-4-2
Copyright © 2017 Science and Education PublishingCite this paper: Grace Nantale, Nazarius Mbona Tumwesigye, Noah Kiwanuka, Richard Kajjura. Prevalence and Factors Associated with Food Insecurity among Women Aged 18-49 Years in Kampala Slums Uganda; A Mixed Methods Study.
Journal of Food Security. 2017; 5(4):120-128. doi: 10.12691/jfs-5-4-2.
Correspondence to: Grace Nantale, Department of Community Health and Behavioural Sciences, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda. Email:
gracenantale04@gmail.comAbstract
While much focus has been put on rural household food insecurity, with increasing urbanisation leading to urban slum formation, food insecurity is potentially on the rise particularly among women of reproductive age (WRA). We determined the prevalence and factors associated with food insecurity among women aged 18-49 years in Makindye slums of Kampala capital city, Uganda. In a community based cross-sectional study, we recruited a random sample of 573 women aged 18-49 years, resident in the slums for at least one year prior to the study. Quantitative data were collected using interviewer administered questionnaires while qualitative information was obtained through key informant interviews and focus group discussions. Multivariable logistic regression (using STATA® 13) and manifest content analysis methods were used to analyse quantitative and qualitative data respectively. Of the 573 participants, 60.7% were aged 20-34 years, 53.7% were married/cohabiting, 12.2% had no formal education and 82.5% lived in rented homes. Overall 88.5% of the women were food insecure of which 68.4% were severely food insecure. Factors that increased likeli hood of food insecurity were; socioeconomic factors such as absence of electricity in the household (AOR; 2.2, 95%CI: 1.05-4.86, p = 0.036) and having more than one school going child (AOR; 2.6, 95%CI: 1.42-4.89, p = 0.002). Qualitative findings indicate that food insecurity is indeed a problem among women in the slums with unemployment, high food prices, poverty and increasing number of household members reported as the major causes of food insecurity. The prevalence of food insecurity among women in Kampala slums is high. These findings suggest the need to invest in economic empowerment of women with emphasis on those living in deprived communities.
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