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Social determinants of inequities in under-nutrition (weight-for-age) among under-5 children: a cross sectional study in Gumla district of Jharkhand, India

Overview of attention for article published in International Journal for Equity in Health, July 2016
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Title
Social determinants of inequities in under-nutrition (weight-for-age) among under-5 children: a cross sectional study in Gumla district of Jharkhand, India
Published in
International Journal for Equity in Health, July 2016
DOI 10.1186/s12939-016-0392-y
Pubmed ID
Authors

Keya Chatterjee, Rajesh Kumar Sinha, Alok Kumar Kundu, Dhananjay Shankar, Rajkumar Gope, Nirmala Nair, Prasanta K Tripathy

Abstract

Jharkhand, a state with substantial tribal population in Eastern India has very high rate of undernutrition. The study tries to understand the social determinants of inequities in under-nutrition (weight-for-age) among children aged less than 5 years, in Gumla District of the State. Cross sectional study of 1070 children from 32 villages of 4 Blocks of Gumla District. 54.3 % (95 % CI 51.3-57.3) children were found to be underweight (less than -2SD), with insignificant difference between girls and boys. Multivariate analysis showed that poverty was the single most important predictor of undernutrition, where a child from the poorest quintile was 70 % more likely to be underweight (aOR 1.70, CI 1.13-2.57), compared to one from the least poor group (Quintile 5). While the difference in weight-for-age status between Scheduled Tribes and "OBC and other communities" was non-significant (95 % OR 1.12, CI 0.88-1.42) in the study context; community disaggregated data revealed that there were large variations within the tribal community, and numerically smaller communities also ranked lower in wealth, and their children showed poorer nutritional status. Other factors like maternal education beyond matriculation level also had some bearing. Bivariate analysis showed that chances of a child being underweight (<-2SD) was 43 % more and being severely underweight (<-3SD) was 26 % more for mothers with less than 10 years of schooling compared to those who had attended school for more than 10 years. Educational attainment of mothers did not show any significant difference between tribal and non-tribal communities. Overall nutritional status of children in Gumla is very grim and calls for immediate interventions, with universal coverage. Risk was almost equal for both genders, and for tribal and non-tribal population, though within tribal communities, it was slightly higher for smaller tribal communities, calling for soft targeting. Comprehensive programme addressing poverty and higher education for girls would be important to overcome the structural barriers, and should be integral part of any intervention. The study highlights the importance of soft targeting vulnerable communities within the universal coverage of government programmes for better nutritional outcomes.

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Geographical breakdown

Country Count As %
Unknown 151 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 28 19%
Researcher 20 13%
Student > Postgraduate 13 9%
Student > Ph. D. Student 10 7%
Student > Doctoral Student 9 6%
Other 17 11%
Unknown 54 36%
Readers by discipline Count As %
Medicine and Dentistry 26 17%
Nursing and Health Professions 25 17%
Social Sciences 19 13%
Unspecified 6 4%
Economics, Econometrics and Finance 4 3%
Other 11 7%
Unknown 60 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 10 February 2018.
All research outputs
#18,587,406
of 23,023,224 outputs
Outputs from International Journal for Equity in Health
#1,741
of 1,925 outputs
Outputs of similar age
#271,694
of 355,627 outputs
Outputs of similar age from International Journal for Equity in Health
#43
of 47 outputs
Altmetric has tracked 23,023,224 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,925 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one is in the 2nd percentile – i.e., 2% of its peers scored the same or lower than it.
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We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.