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

@article{Haile2016ExploringSV,
  title={Exploring spatial variations and factors associated with childhood stunting in Ethiopia: spatial and multilevel analysis},
  author={Demewoz Haile and Muluken Azage and Tegegn Mola and Rochelle C. Rainey},
  journal={BMC Pediatrics},
  year={2016},
  volume={16}
}
BackgroundStunting reflects a failure to receive adequate nutrition over a long period of time. [...] Key MethodMethodsThis 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.Expand
Spatial heterogeneity and factors influencing stunting and severe stunting among under-5 children in Ethiopia: spatial and multilevel analysis
TLDR
Giving priority to the hotspot areas of stunting and older and anemic children, multiple births, and maternal undernutrition is important to reduce stunting. Expand
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TLDR
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TLDR
Higher maternal educational level, better maternal autonomy, average or above maternal height and weight, having at least 4 antenatal care clinic visits, and delivering in a health facility were significantly associated with lower severe stunting levels. Expand
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TLDR
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TLDR
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TLDR
The model indicates that being born male, being from a mother of short stature, living in rural areas, small child size, mother with mild anemia, father having no formal education or primary education only, having low child weight, and being 24–59 months of age increases the likelihood of stunting. Expand
Severe stunting and its associated factors among children aged 6–59 months in Ethiopia; multilevel ordinal logistic regression model
TLDR
Child age, sex, maternal height, age, education and household wealth index as well as administrative regions were significantly associated factors with severe stunting in Ethiopia. Expand
Predictors of stunting among children age 6–59 months in Ethiopia using Bayesian multi-level analysis
TLDR
It is revealed that both individual and community level factors were predictors of childhood stunting in Ethiopia, and more emphasize should be given by the concerned bodies to intervene the problem stunting by improving maternal education, promotion of girl education, improving the economic status of households, promoting of context-specific child feeding practices, improving maternal nutrition education and counseling, and improving sanitation and hygiene practices. Expand
Exploring Spatial Variations and Determinants of Dietary Diversity Among Children in Ethiopia: Spatial and Multilevel Analysis Using EDHS (2011–2016)
TLDR
The MDD of children in Ethiopia, as measured by WHO dietary assessment, slightly increased from 2011 to 2016, and the dietary diversity of children was distributed non-randomly in different districts across regions of Ethiopia. Expand
Household, dietary and healthcare factors predicting childhood stunting in Ethiopia
TLDR
House and demographic factors such as maternal education, wealth index, dietary diversity among mothers and children and improving maternal health care system are critical to mitigate under-five stunting more rapidly and stunting is modulated by several household, dietary and healthcare factors. Expand
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