Evidence map›Paper›PMID 31255172›Full record

ArticleBMC pediatrics2019

Factors influencing childhood anaemia in Bangladesh: a two level logistic regression analysis.

Abu Yusuf, A S M A Mamun, Md Kamruzzaman, Aik Saw, Nagah M Abo El-Fetoh, Pete E Lestrel, Md Golam Hossain

Erratum issuedOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC pediatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 39 citations in OpenAlex.

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  8. Temporal evolution of anemia in children aged six to 59 months in the state of Pernambuco, Brazil, 1997 to 2016.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 4 countries.

Abu YusufHealth Research Group, Department of Statistics, University of Rajshahi, Rajshahi, 6205, Bangladesh.
A S M A MamunHealth Research Group, Department of Statistics, University of Rajshahi, Rajshahi, 6205, Bangladesh.
Md KamruzzamanHealth Research Group, Department of Statistics, University of Rajshahi, Rajshahi, 6205, Bangladesh.
Aik SawNational Orthopaedic Centre of Excellence for Research and Learning (NOCERAL), Department of Orthopaedic Surgery, University of Malaya, Kuala Lumpur, Malaysia.
Nagah M Abo El-FetohDepartment of Community Medicine, Faculty of Medicine, Sohag University, Sohag, Egypt.
Pete E LestrelSections of Orthodontics and Oral Biology, School of Dentistry, University of California, Los Angeles, California, USA.
Md Golam HossainHealth Research Group, Department of Statistics, University of Rajshahi, Rajshahi, 6205, Bangladesh. hossain95@yahoo.com.
University of Rajshahi · BDSohag University · EGUniversity of California, Los Angeles · USUniversity of Malaya · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnemia is not only a major public health problem among children in developing countries, it is also an important predictor for their future growth and development. The objective of this study was to identify possible factors associated with anemia among pre-school children in Bangladesh after removing a cluster effect of the population, and to determine the prevalence of this condition.

methodsData for this study was extracted from the 2011 Bangladesh Demographic and Health Survey (BDHS-2011). In this survey, data was collected using a two-stage stratified cluster sampling approach. The chi-square test and a two-level logistic regression model were used for further analysis.

resultsData from 2231 children aged 6-59 months were included for analysis. The prevalence of child anemia was noted to be 52.10%. Among these anemic children, 48.40% where from urban environment and 53.90% were from rural areas. The prevalence of mild, moderate and severe anemia among children was 57.10, 41.40 and 1.50% respectively. The two-level logistic regression model revealed that the following factors were associated with childhood anemia: children of anemic mothers (p < 0.01), undernourished children (p < 0.05), younger children (age < 2 years) (p < 0.01) and children from poor family (p < 0.05). Lastly, anemia was more common among children living in Barisal and Rangpur divisions compared to those from Dhaka division (p < 0.01), and among non-Muslims than Muslim (p < 0.05).

conclusionsOur study showed that prevalence of anemia among pre-school children in Bangladesh was very high (52.10%). We noted that young children of anemic mothers, from poor families, and being undernourished were at higher risk of developing anemia. Since most of these risk factors were related to socioeconomic conditions, they were potentially modifiable. Therefore, our findings may be useful for the health authorities to identify children at risk for remedial action and to plan for preventive measures.

Indexed as

Age FactorsAnemiaBangladeshChild, PreschoolChi-Square DistributionFemaleHumansInfantInfant Nutrition DisordersIslamLogistic ModelsMaleMultilevel AnalysisPovertyPrevalenceRegression AnalysisAnemiaBangladeshMultilevel regressionPre-school childrenPrevalence

Identifiers

PMID31255172
PMCPMC6599261
OpenAlexW2955989703

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.