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Exploring spatial variations and factors associated with childhood stunting in Ethiopia: spatial and multilevel analysis

Overview of attention for article published in BMC Pediatrics, April 2016
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Title
Exploring spatial variations and factors associated with childhood stunting in Ethiopia: spatial and multilevel analysis
Published in
BMC Pediatrics, April 2016
DOI 10.1186/s12887-016-0587-9
Pubmed ID
Authors

Demewoz Haile, Muluken Azage, Tegegn Mola, Rochelle Rainey

Abstract

Stunting reflects a failure to receive adequate nutrition over a long period of time. Stunting is associated with adverse functional consequences including poor cognition, low educational performance, low adult wages, and poor reproductive outcomes. The objective of the study was to investigate spatial variations and factors associated with childhood stunting in Ethiopia. This study is a secondary data analysis of the 2011 Ethiopian Demographic and Health Survey (EDHS). A total of 9893 children aged 0-59 months were included in the analysis. The Getis-Ord spatial statistical tool was used to identify high and low hotspots areas of stunting. A multilevel multivariable logistic regression was used to identify factors associated with stunting. Statistically significant hotspots of stunting were found in northern parts of the country whereas low hotspots where there was less stunting than expected were found in the central, eastern, and western parts of the country. In the final model of multilevel logistic regression analysis, individual and community level factors accounted for 36.6 % of childhood stunting. Short birth interval [AOR = 1.68; 95%CI: (1.46-1.93)], being male [AOR = 1.20; 95%CI: (1.08-1.33)], and being from a male-headed household [AOR = 1.18; 95 % CI: (1.01-1.38)] were the factors that increased the odds of stunting at the individual level. Children in the age group between 24-35 months were more likely to be stunted than children whose age was less than one year [AOR = 6.61; 95 % CI: (5.17-8.44)]. The odds of stunting among children with severe anemia were higher than children with no anemia [AOR = 3.23; 95%CI: (2.35-4.43)]. Children with mothers who had completed higher education had lower odds of being stunted compared to children whose mothers had no formal education [AOR = 0.42; 95%CI: (0.18-0.94)]. The odds of being stunted were lower among children whose fathers completed higher education [AOR = 0.58; 95%CI: (0.38-0.89)] compared to children whose fathers had no formal education. Children whose mothers who had high a Body Mass Index (BMI) (≥25.0 kg/m(2)) were less likely to be stunted compared with children whose mothers had a normal BMI (18.5 kg/m(2)-24.9 kg/m(2))[AOR = 0.69; 95%CI: (0.52-0.90)]. Children from the poorest wealth quintile had higher odds of being stunted compared to children from the richest wealth quintiles [AOR = 1.43; 95 % CI: (1.08-1.88)]. Unavailability of improved latrine facilities and living in the northern parts of the country (Tigray, Affar, Amhara and Benishangul-Gumuzregions) were factors associated with higher odds of stunting from the community-level factors. Stunting in children under five years old is not random in Ethiopia, with hotspots of higher stunting in the northern part of Ethiopia. Both individual and community-level factors were significant determinants of childhood stunting. The regions with high hotspots of child stunting should be targeted with additional resources, and the identified factors should be considered for nutritional interventions.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 561 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 560 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 83 15%
Student > Bachelor 54 10%
Lecturer 45 8%
Researcher 44 8%
Student > Ph. D. Student 37 7%
Other 63 11%
Unknown 235 42%
Readers by discipline Count As %
Nursing and Health Professions 113 20%
Medicine and Dentistry 60 11%
Social Sciences 44 8%
Agricultural and Biological Sciences 18 3%
Economics, Econometrics and Finance 15 3%
Other 67 12%
Unknown 244 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 10 June 2016.
All research outputs
#13,780,559
of 22,876,619 outputs
Outputs from BMC Pediatrics
#1,719
of 3,012 outputs
Outputs of similar age
#151,067
of 299,081 outputs
Outputs of similar age from BMC Pediatrics
#16
of 25 outputs
Altmetric has tracked 22,876,619 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,012 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 41st percentile – i.e., 41% 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 299,081 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.