2019
DOI: 10.1016/j.ehb.2018.11.001
|View full text |Cite
|
Sign up to set email alerts
|

Closing the rural-urban gap in child malnutrition: Evidence from Paraguay, 1997–2012

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
19
1

Year Published

2020
2020
2022
2022

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 18 publications
(20 citation statements)
references
References 37 publications
0
19
1
Order By: Relevance
“…The included studies analyzed data on the determinants of child growth and drivers of stunting reduction from >70 countries worldwide. A total 11 of studies ( 29 , 30 , 33 , 40 , 46 , 48–51 , 55 , 99 ) contained data from national-level regression-decomposition analyses of change in HAZ and stunting prevalence in 14 countries (see Table 1 ). These studies best address our research question, and the following sections focus on synthesizing key findings from robust models across this set of studies, organized by groupings based on the basic, underlying, and immediate determinants of stunting.…”
Section: Resultsmentioning
confidence: 99%
See 4 more Smart Citations
“…The included studies analyzed data on the determinants of child growth and drivers of stunting reduction from >70 countries worldwide. A total 11 of studies ( 29 , 30 , 33 , 40 , 46 , 48–51 , 55 , 99 ) contained data from national-level regression-decomposition analyses of change in HAZ and stunting prevalence in 14 countries (see Table 1 ). These studies best address our research question, and the following sections focus on synthesizing key findings from robust models across this set of studies, organized by groupings based on the basic, underlying, and immediate determinants of stunting.…”
Section: Resultsmentioning
confidence: 99%
“…In a majority of these regression-decomposition studies ( 33 , 40 , 46 , 48–51 ) multivariable regression and Oaxaca-Blinder decomposition methods were used to examine how different determinants predicted change in nutrition status. Multivariable linear regression and linear probability modeling were used to examine associations between HAZ and covariates of interest based on data collected regularly through DHS, the Multiple Indicator Cluster Survey (MICS), and other nationally representative surveys.…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations