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Trends and determinants of inequities in childhood stunting in Bangladesh from 1996/7 to 2014

Overview of attention for article published in International Journal for Equity in Health, November 2016
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Citations

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225 Mendeley
Title
Trends and determinants of inequities in childhood stunting in Bangladesh from 1996/7 to 2014
Published in
International Journal for Equity in Health, November 2016
DOI 10.1186/s12939-016-0477-7
Pubmed ID
Authors

Atonu Rabbani, Akib Khan, Sifat Yusuf, Alayne Adams

Abstract

We explore long-term trends and determinants of socioeconomic inequities in chronic childhood undernutrition measured by stunting among under-five children in Bangladesh. Given that one in three children remain stunted in Bangladesh, the socioeconomic mapping of stunting prevalence may be critical in designing public policies and interventions to eradicate childhood undernutrition. Six rounds of Bangladesh Demographic and Health Survey data are utilized, spanning the period 1996/97 to 2014. Using recognized measures of absolute and relative inequality (namely, absolute and relative difference, concentration curve and index), we quantify trends, and decompose changes in the concentration index to identify factors that best explain observed dynamics. Despite remarkable improvements in average nutritional status over the last two decades, socio-economic inequalities have persisted, and according to some measures, even worsened. For example, expressed as rate-ratios, the relative inequality in under-five stunting increased by 56% and the concentration index more than doubled between 1996/97 and 2014. Decomposition analyses find that wealth and maternal factors such as mothers' schooling and short stature are major contributors to observed socio-economic inequalities in child undernutrition and their changes over time. Reflecting on recent success around socioeconomic and gender equity in child mortality, and the weak legacy of nutrition policy in Bangladesh, we suggest that nutrition programming energies be focused specifically on the most disadvantaged and applied at scale to close socioeconomic gaps in stunting prevalence.

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X Demographics

The data shown below were collected from the profiles of 5 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 225 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Bangladesh 3 1%
Unknown 222 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 38 17%
Researcher 32 14%
Student > Bachelor 20 9%
Lecturer 13 6%
Student > Ph. D. Student 12 5%
Other 36 16%
Unknown 74 33%
Readers by discipline Count As %
Nursing and Health Professions 39 17%
Medicine and Dentistry 29 13%
Social Sciences 27 12%
Economics, Econometrics and Finance 15 7%
Psychology 4 2%
Other 24 11%
Unknown 87 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 27 February 2018.
All research outputs
#6,262,375
of 22,901,818 outputs
Outputs from International Journal for Equity in Health
#979
of 1,914 outputs
Outputs of similar age
#84,903
of 270,398 outputs
Outputs of similar age from International Journal for Equity in Health
#26
of 44 outputs
Altmetric has tracked 22,901,818 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,914 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 48th percentile – i.e., 48% 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 270,398 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.