↓ Skip to main content

Socio-economic and demographic determinants of childhood anemia

Overview of attention for article published in Jornal de Pediatria, June 2015
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

policy
1 policy source

Citations

dimensions_citation
51 Dimensions

Readers on

mendeley
298 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Socio-economic and demographic determinants of childhood anemia
Published in
Jornal de Pediatria, June 2015
DOI 10.1016/j.jped.2014.09.009
Pubmed ID
Authors

Sankar Goswmai, Kishore K. Das

Abstract

To evaluate socio-economic and demographic determinants of anemia among Indian children aged 6-59 months. Statistical analysis was performed on the cross-sectional weighted sample of 40,885 children from 2005 to 2006 National Family Health Survey by using multinomial logistic regression to assess the significance of some risk factors in different degrees of child anemia. Anemia was diagnosed by World Health Organization (WHO) cut-off points on hemoglobin level. Pearson's chi-squared test was applied to justify the associations of anemia with different categories of the study population. The prevalence of anemia was 69.5%; 26.2% mild, 40.4% moderate, and 2.9% severe anemia. Overall prevalence rate, along with mild and moderate cases, showed an increasing trend up to 2 years of age and then decreased. Rural children had a higher prevalence rate. Of 28 Indian states in the study, 10 states showed very high prevalence, the highest being Bihar (77.9%). Higher birth order, high index of poverty, low level of maternal education, mother's anemia, non-intake of iron supplements during pregnancy, and vegetarian mother increased the risks of all types of anemia among children (p<0.05). Christian population was at lower risk; and Scheduled Caste, Scheduled Tribe, and Other Backward Class categories were at higher risk of anemia. The results suggest a need for proper planning and implementation of preventive measures to combat child anemia. Economically under-privileged groups, maternal nutrition and education, and birth control measures should be priorities in the programs.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 298 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 298 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 45 15%
Student > Bachelor 41 14%
Researcher 25 8%
Student > Ph. D. Student 25 8%
Student > Doctoral Student 16 5%
Other 47 16%
Unknown 99 33%
Readers by discipline Count As %
Medicine and Dentistry 61 20%
Nursing and Health Professions 53 18%
Social Sciences 18 6%
Agricultural and Biological Sciences 16 5%
Economics, Econometrics and Finance 7 2%
Other 33 11%
Unknown 110 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 01 January 2017.
All research outputs
#8,534,976
of 25,373,627 outputs
Outputs from Jornal de Pediatria
#230
of 896 outputs
Outputs of similar age
#96,540
of 279,890 outputs
Outputs of similar age from Jornal de Pediatria
#5
of 15 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 896 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has gotten more attention than average, scoring higher than 60% 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 279,890 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 55% of its contemporaries.
We're also able to compare this research output to 15 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 60% of its contemporaries.