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Household dietary diversity and Animal Source Food consumption in Ethiopia: evidence from the 2011 Welfare Monitoring Survey

Overview of attention for article published in BMC Public Health, November 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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1 news outlet
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1 X user

Citations

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92 Dimensions

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328 Mendeley
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Title
Household dietary diversity and Animal Source Food consumption in Ethiopia: evidence from the 2011 Welfare Monitoring Survey
Published in
BMC Public Health, November 2016
DOI 10.1186/s12889-016-3861-8
Pubmed ID
Authors

Abdulhalik Workicho, Tefera Belachew, Garumma Tolu Feyissa, Beyene Wondafrash, Carl Lachat, Roosmarijn Verstraeten, Patrick Kolsteren

Abstract

It is imperative to track dietary quality and progress in nutritional outcomes in a population to develop timely interventions. Dietary diversity is a commonly used proxy to assess dietary quality in low-income countries. This study identified predictors of household dietary diversity in Ethiopia and pattern of consumption of animal source food (ASF) among households. Secondary data were analyzed from the 2011 Ethiopian Welfare Monitoring Survey (WMS). This survey used a structured questionnaire to collect socio-demographic and economic data. Dietary data were collected using a dietary diversity questionnaire measuring dietary diversity over the past 1 week. A Household Dietary Diversity Score (HDDS) was constructed according to the Food and Agricultural Organization (FAO) guidelines. Consumption of ASFs is described by its distribution among the regions and by HDDS. Multiple logistic regression analysis was fitted to identify independent predictors for HDDS. A total of 27,995 households were included in the analyses. A little over half of the study households (52.2%) had more than four household members, and 75% of households were male headed. The mean HHDS was five food groups. Cereals were the most commonly (96%) consumed food groups. Fish, egg and fruits, on the other hand, were the least consumed food groups. ASFs were consumed in greater proportion among households with higher HDDS. Being part of the higher and middle socio economic strata (P < 0.001), literacy (P < 0.01), urban residence (P < 0.01), male headed household (P < 0.01), larger family size (P <0.01) and owning livestock (P < 0.01) were positively associated with higher HDDS. Considering these findings, nutrition sensitive interventions which address the problem through economic and educational empowerment and modern technologies supporting agricultural practices need to be designed to increase both local production and increased consumption.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 328 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 328 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 61 19%
Researcher 32 10%
Student > Ph. D. Student 32 10%
Lecturer 18 5%
Student > Postgraduate 17 5%
Other 55 17%
Unknown 113 34%
Readers by discipline Count As %
Nursing and Health Professions 55 17%
Agricultural and Biological Sciences 41 13%
Social Sciences 33 10%
Medicine and Dentistry 19 6%
Economics, Econometrics and Finance 16 5%
Other 34 10%
Unknown 130 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 09 March 2023.
All research outputs
#3,059,228
of 23,505,669 outputs
Outputs from BMC Public Health
#3,517
of 15,255 outputs
Outputs of similar age
#61,124
of 418,943 outputs
Outputs of similar age from BMC Public Health
#37
of 182 outputs
Altmetric has tracked 23,505,669 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,255 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.1. This one has done well, scoring higher than 76% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 418,943 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 182 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.