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Level and determinants of food insecurity in East and West Gojjam zones of Amhara Region, Ethiopia: a community based comparative cross-sectional study

Overview of attention for article published in BMC Public Health, June 2016
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Title
Level and determinants of food insecurity in East and West Gojjam zones of Amhara Region, Ethiopia: a community based comparative cross-sectional study
Published in
BMC Public Health, June 2016
DOI 10.1186/s12889-016-3186-7
Pubmed ID
Authors

Achenef Motbainor, Alemayehu Worku, Abera Kumie

Abstract

Food insecurity remains highly prevalent in developing countries and over the past two decades it has increasingly been recognized as a serious public health problem, including in Ethiopia. An emerging body of literature links food insecurity to a range of negative health outcomes and causes of a decline in productivity. The objectives of the present study were to determine the level of food insecurity in East Gojjam zone where the productive safety net program is available, and in West Gojjam zone where there is no program, and to identify the determinants of food insecurity in both East and West Gojjam zones of Amhara Region, Ethiopia. Community based comparative cross-sectional study design was used from 24 May 2013- 20 July 2013. Multistage sampling technique was implemented. A total of 4110 randomly selected households in two distinct populations were approached to be included in the study. Availability and absence of the productive safety net program between the two study areas was used to categorize them as comparative groups; otherwise the two communities are comparable in many socio-cultural characteristics. The household food security access scale questionnaire, developed by the Food and Nutrition Technical Assistant Project, was used to measure food security level. Socio-demographic and other household level information were collected by using a structured questionnaire. The binary logistic regression model was used to assess factors associated with food insecurity. From the total 4110 households, 3964 (96.45 %) gave complete responses. The total prevalence of food insecurity was 55.3 % (95 % CI: 53.8, 56.8). To compare food insecurity levels between the two zones, nearly sixty percent, 59.2 % (95 % CI: 57 %, 61.4 %) of the East Gojjam and 51.3 % (95 % CI: 49.1 %, 53.5) of West Gojjam households were food insecure. Family size (2-4) (AOR = 0.641, 95 % CI: 0.513, 0.801), non-merchant women (AOR = 1.638, 95 % CI: 1.015, 2.643), household monthly income quartiles, 1(st) (AOR = 2.756, 95 % CI: 1.902, 3.993), and 2(nd) (AOR =1.897, 95 % CI: 1.299, 2.775) were the significant socio-demographic determinants in east Gojjam zone. Illiterate mothers (AOR = 1.388, 95 % CI: 1.011, 1.905), household monthly income quartiles, 1(st) (AOR = 3.110232, 95 % CI: 2.366, 4.415), 2(nd) (AOR =2.618, 95 % CI: 1.892, 3.622) and 3(rd) (AOR = 2.177, 95 % CI: 1.6911, 2.803) were the significant socio-demographic predictors in west Gojjam zone. Rural residential area (AOR = 3.201, 95 % CI: 1.832, 5.594) and (AOR = 2.425, 95 % CI: 1.79, 3.272), highland agro-ecology (AOR = 2.193, 95 % CI: 1.348, 3.569 and AOR = 3.669, 95 % CI: 2.442, 5.513) and lack of livestock (AOR = 1.553, 95 % CI: 1.160, 2.078 and AOR = 1.568 95 % CI: 1.183, 2.080) were significant environmental predictors in east and west Gojjam zones respectively. Food insecurity is highly prevalent in both study areas; however, there are different predictor factors. Intervention strategies should give emphasis to women's education, diversified income generating opportunities, and for each agro-ecological zone, mixed agriculture strategy.

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Mendeley readers

The data shown below were compiled from readership statistics for 251 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Kenya 1 <1%
Unknown 250 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 51 20%
Researcher 23 9%
Student > Ph. D. Student 22 9%
Student > Doctoral Student 17 7%
Lecturer 14 6%
Other 35 14%
Unknown 89 35%
Readers by discipline Count As %
Agricultural and Biological Sciences 46 18%
Nursing and Health Professions 26 10%
Medicine and Dentistry 23 9%
Social Sciences 17 7%
Economics, Econometrics and Finance 13 5%
Other 29 12%
Unknown 97 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 June 2016.
All research outputs
#15,377,977
of 22,877,793 outputs
Outputs from BMC Public Health
#11,382
of 14,917 outputs
Outputs of similar age
#219,858
of 349,337 outputs
Outputs of similar age from BMC Public Health
#183
of 225 outputs
Altmetric has tracked 22,877,793 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
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