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Factors behind the success story of under-five stunting in Peru: a district ecological multilevel analysis

Overview of attention for article published in BMC Pediatrics, January 2017
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

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1 news outlet
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9 X users
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1 Wikipedia page

Citations

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38 Dimensions

Readers on

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348 Mendeley
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Title
Factors behind the success story of under-five stunting in Peru: a district ecological multilevel analysis
Published in
BMC Pediatrics, January 2017
DOI 10.1186/s12887-017-0790-3
Pubmed ID
Authors

Luis Huicho, Carlos A. Huayanay-Espinoza, Eder Herrera-Perez, Eddy R. Segura, Jessica Niño de Guzman, María Rivera-Ch, Aluisio J.D. Barros

Abstract

Stunting prevalence in children less than 5 years has remained stagnated in Peru from 1992 to 2007, with a rapid reduction thereafter. We aimed to assess the role of different predictors on stunting reduction over time and across departments, from 2000 to 2012. We used various secondary data sources to describe time trends of stunting and of possible predictors that included distal to proximal determinants. We determined a ranking of departments by annual change of stunting and of different predictors. To account for variation over time and across departments, we used an ecological hierarchical approach based on a multilevel mixed-effects regression model, considering stunting as the outcome. Our unit of analysis was one department-year. Stunting followed a decreasing trend in all departments, with differing slopes. The reduction pace was higher from 2007-2008 onwards. The departments with the highest annual stunting reduction were Cusco (-2.31%), Amazonas (-1.57%), Puno (-1.54%), Huanuco (-1.52%), and Ancash (-1.44). Those with the lowest reduction were Ica (-0.67%), Ucayali (-0.64%), Tumbes (-0.45%), Lima (-0.37%), and Tacna (-0.31%). Amazon and Andean departments, with the highest baseline poverty rates and concentrating the highest rural populations, showed the highest stunting reduction. In the multilevel analysis, when accounting for confounding, social determinants seemed to be the most important factors influencing annual stunting reduction, with significant variation between departments. Stunting reduction may be explained by the adoption of anti-poverty policies and sustained implementation of equitable crosscutting interventions, with focus on poorest areas. Inclusion of quality indicators for reproductive, maternal, neonatal and child health interventions may enable further analyses to show the influence of these factors. After a long stagnation period, Peru reduced dramatically its national and departmental stunting prevalence, thanks to a combination of social determinants and crosscutting factors. This experience offers useful lessons to other countries trying to improve their children's nutrition.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users 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 348 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 348 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 65 19%
Researcher 37 11%
Student > Bachelor 32 9%
Lecturer 25 7%
Student > Ph. D. Student 13 4%
Other 44 13%
Unknown 132 38%
Readers by discipline Count As %
Nursing and Health Professions 68 20%
Medicine and Dentistry 51 15%
Social Sciences 32 9%
Agricultural and Biological Sciences 10 3%
Environmental Science 8 2%
Other 36 10%
Unknown 143 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 07 January 2020.
All research outputs
#1,595,410
of 22,947,506 outputs
Outputs from BMC Pediatrics
#179
of 3,021 outputs
Outputs of similar age
#36,028
of 417,650 outputs
Outputs of similar age from BMC Pediatrics
#7
of 53 outputs
Altmetric has tracked 22,947,506 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,021 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done particularly well, scoring higher than 94% 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 417,650 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.