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Socioeconomic-related inequalities in child malnutrition: evidence from the Ghana multiple indicator cluster survey

Overview of attention for article published in Health Economics Review, November 2015
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264 Mendeley
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Title
Socioeconomic-related inequalities in child malnutrition: evidence from the Ghana multiple indicator cluster survey
Published in
Health Economics Review, November 2015
DOI 10.1186/s13561-015-0072-4
Pubmed ID
Authors

Jacob Novignon, Emmanuel Aboagye, Otuo Serebour Agyemang, Genevieve Aryeetey

Abstract

Malnutrition is a prevalent public health concern in Ghana. While studies have identified factors that influence child malnutrition and related inequalities in Ghana, very little efforts have been made to decompose these inequalities across various household characteristics. This study examined the influence of socioeconomic factors on inequality in child malnutrition using a decomposition approach. The study employed cross section data from the 2011 Multiple Indicator Cluster Survey (MICS). Analysis was done at three levels: First, concentration curves were constructed to explore the nature of inequality in child malnutrition. Secondly, concentration indices were computed to quantify the magnitude of inequality. Thirdly, decomposition analysis was conducted to determine the role of mother's education and health insurance coverage in inequality of child malnutrition. The concentration curves showed that there exists a pro-poor inequality in child malnutrition measured by stunting and wasting. The concentration indices of these measures indicated that the magnitude of inequality was higher and significant at 1 % for weight-for-age (WAZ) (-0.1641), relative to height-for-age (HAZ) (-0.1613). The decomposition analyses show that whilst mother's education contributed about 13 and 11 % to inequality in HAZ, it contributed about 18.9 and 11.8 % to inequality in WAZ for primary and secondary or above education attainments, respectively. Finally, health insurance contributed about 1.91 and 1.03 % to inequality in HAZ and WAZ, respectively. The results suggest that there is the need to encourage critical policies directed towards improving female literacy in the country. The existence of a functional health insurance system and increasing universal coverage are recommended to mitigate child malnutrition.

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The data shown below were collected from the profiles of 3 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 264 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Greece 1 <1%
Bangladesh 1 <1%
Kenya 1 <1%
Unknown 260 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 60 23%
Student > Bachelor 34 13%
Student > Ph. D. Student 21 8%
Student > Postgraduate 20 8%
Researcher 18 7%
Other 41 16%
Unknown 70 27%
Readers by discipline Count As %
Medicine and Dentistry 46 17%
Nursing and Health Professions 44 17%
Social Sciences 29 11%
Economics, Econometrics and Finance 28 11%
Agricultural and Biological Sciences 9 3%
Other 28 11%
Unknown 80 30%
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 30 November 2015.
All research outputs
#14,828,686
of 22,833,393 outputs
Outputs from Health Economics Review
#241
of 429 outputs
Outputs of similar age
#214,804
of 386,693 outputs
Outputs of similar age from Health Economics Review
#7
of 14 outputs
Altmetric has tracked 22,833,393 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 429 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one is in the 39th percentile – i.e., 39% 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 386,693 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.