↓ Skip to main content

Stunting and its determinant factors among children aged 6–59 months in Ethiopia

Overview of attention for article published in Italian Journal of Pediatrics, December 2017
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
155 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Stunting and its determinant factors among children aged 6–59 months in Ethiopia
Published in
Italian Journal of Pediatrics, December 2017
DOI 10.1186/s13052-017-0433-1
Pubmed ID
Authors

Amare Tariku, Gashaw Andargie Biks, Terefe Derso, Molla Mesele Wassie, Solomon Mekonnen Abebe

Abstract

Though Ethiopia has implemented different nutritional interventions, childhood stunting on which literature is limited continues as a severe public health problem. Thus, this study aimed to investigate stunting and its determinants among children aged 6-59 months in the predominantly rural northwest Ethiopia. A community based cross-sectional study was conducted from May to June 2015 at Dabat Health and Demographic Surveillance System (HDSS) site. A total of 1295 mother-child pairs were included for analysis. An ordinal multivariable logistic regression analysis was carried out to identify the determinants of severe stunting. To show the strength of associations, both Crude Odds Ratio (COR) and Adjusted Odds Ratios (AOR) with a 95% Confidence Interval (CI) were estimated. Also, a P-value of <0.05 was used to declare statistical significance in the final model. The overall prevalence of stunting among children aged 6-59 months was 64.5%, of which about 37.7% and 26.8% were moderately and severely stunted, respectively. Farming occupation of mother [AOR = 1.45; 95% CI: 1.08, 1.93], lack of postnatal vitamin-A supplementation [AOR = 1.54; 95%: 1.19, 2.00], poorer household wealth status [AOR = 2.07; CI: 1.56, 2.75] and accessing family food from farms [AOR = 1.44; 95% CI: 1.09, 1.89] were identified as the key determinants of severe stunting. In the district, the magnitude of stunting was a critical public health concern. Therefore, emphasis should be given to improving mothers' postnatal vitamin A supplementation coverage and building knowledge about appropriate child feeding practices among farmer mothers and poorer households.

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 155 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 32 21%
Researcher 15 10%
Student > Ph. D. Student 13 8%
Lecturer 13 8%
Student > Bachelor 10 6%
Other 29 19%
Unknown 43 28%
Readers by discipline Count As %
Nursing and Health Professions 46 30%
Medicine and Dentistry 22 14%
Social Sciences 14 9%
Agricultural and Biological Sciences 6 4%
Environmental Science 5 3%
Other 15 10%
Unknown 47 30%

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 21 December 2017.
All research outputs
#9,857,902
of 12,341,179 outputs
Outputs from Italian Journal of Pediatrics
#271
of 439 outputs
Outputs of similar age
#248,092
of 346,991 outputs
Outputs of similar age from Italian Journal of Pediatrics
#19
of 30 outputs
Altmetric has tracked 12,341,179 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 439 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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 346,991 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.