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Risk factors of stunting among children living in an urban slum of Bangladesh: findings of a prospective cohort study

Overview of attention for article published in BMC Public Health, January 2018
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

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3 news outlets
blogs
2 blogs
twitter
11 X users

Citations

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48 Dimensions

Readers on

mendeley
489 Mendeley
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Title
Risk factors of stunting among children living in an urban slum of Bangladesh: findings of a prospective cohort study
Published in
BMC Public Health, January 2018
DOI 10.1186/s12889-018-5101-x
Pubmed ID
Authors

M. Munirul Islam, Kazi Istiaque Sanin, Mustafa Mahfuz, A. M. Shamsir Ahmed, Dinesh Mondal, Rashidul Haque, Tahmeed Ahmed

Abstract

Bangladesh is one of the 20 countries with highest burden of stunting globally. A large portion (around 2.2 million) of the population dwells in the slum areas under severe vulnerable conditions. Children residing in the slums are disproportionately affected with higher burden of undernutrition particularly stunting. In this paper, findings of a prospective cohort study which is part of a larger multi-country study are presented. Two hundred and sixty five children were enrolled and followed since their birth till 24 months of age. Anthropometric measurements, dietary intake and morbidity information were collected monthly. Data from 9 to 12, 15-18 and 21-24 months were collated to analyze and report findings for 12, 18 and 24 months of age. Generalized estimating equation models were constructed to determine risk factors of stunting between 12 and 24 months of age. Approximately, 18% of children were already stunted (LAZ < -2SD) at birth and the proportion increased to 48% at 24 months of age. Exclusive breastfeeding prevalence was only 9.4% following the WHO definition at 6 months. Dietary energy intake as well as intakes of carbohydrate, fat and protein were suboptimal for majority of the children. However, in regression analysis, LAZ at birth (AOR = 0.40, 95% CI: 0.26, 0.61), household with poor asset index (AOR = 2.81, 95% CI: 1.43, 5.52; ref.: average asset index), being male children (AOR = 1.75, 95% CI: 1.04, 2.95; ref.: female) and age (AOR = 2.34, 95% CI: 1.56, 3.52 at 24 months, AOR = 2.13, 95% CI: 1.55, 2.92 at 18 months; ref.: 12 months of age) were the significant predictors of stunting among this population. As the mechanism of stunting begins even before a child is born, strategies must be focused on life course approach and preventive measurement should be initiated during pregnancy. Alongside, government and policymakers have to develop sustainable strategies to improve various social and environmental factors those are closely interrelated with chronic undernutrition particularly concentrating on urban slum areas.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 489 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 489 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 62 13%
Student > Bachelor 54 11%
Lecturer 47 10%
Researcher 32 7%
Student > Ph. D. Student 22 4%
Other 55 11%
Unknown 217 44%
Readers by discipline Count As %
Nursing and Health Professions 117 24%
Medicine and Dentistry 56 11%
Social Sciences 32 7%
Agricultural and Biological Sciences 10 2%
Environmental Science 9 2%
Other 32 7%
Unknown 233 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 42. 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 12 August 2020.
All research outputs
#873,815
of 23,577,761 outputs
Outputs from BMC Public Health
#919
of 15,294 outputs
Outputs of similar age
#22,364
of 443,051 outputs
Outputs of similar age from BMC Public Health
#26
of 260 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,294 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.1. 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 443,051 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 94% of its contemporaries.
We're also able to compare this research output to 260 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.