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Prevalence of childhood anaemia in Brazil: still a serious health problem: a systematic review and meta-analysis

Published online by Cambridge University Press:  02 July 2021

Carlos Alberto Nogueira-de-Almeida*
Affiliation:
Medical Department, Federal University of São Carlos, Brazil – DMED UFSCAR, Rod. Washington Luiz, km 235, São Carlos, SP 13565-905, Brazil
Fábio da Veiga Ued
Affiliation:
Nutrition School, University of São Paulo, Brazil – FMRP-USP, Ribeirao Preto, Brazil
Luiz Antonio Del Ciampo
Affiliation:
Nutrition School, University of São Paulo, Brazil – FMRP-USP, Ribeirao Preto, Brazil
Edson Zangiacomi Martinez
Affiliation:
Nutrition School, University of São Paulo, Brazil – FMRP-USP, Ribeirao Preto, Brazil
Ivan Savioli Ferraz
Affiliation:
Nutrition School, University of São Paulo, Brazil – FMRP-USP, Ribeirao Preto, Brazil
Andrea Aparecida Contini
Affiliation:
Medical Department, Federal University of São Carlos, Brazil – DMED UFSCAR, Rod. Washington Luiz, km 235, São Carlos, SP 13565-905, Brazil
Franciele Carolina Soares da Cruz
Affiliation:
Association of Parents and Friends of Disabled People, Brazil – APAE, Jaboticabal, Brazil
Raquel Farias Barreto Silva
Affiliation:
Nutrition School, University of São Paulo, Brazil – FMRP-USP, Ribeirao Preto, Brazil
Maria Eduarda Nogueira-de-Almeida
Affiliation:
Nutrition School, University of São Paulo, Brazil – FMRP-USP, Ribeirao Preto, Brazil
Joel Alves Lamounier
Affiliation:
Medical School, Federal University of Sao Joao Del Rei, Brazil – DMED UFSJ, Sao Joao Del Rei, Brazil
*
*Corresponding author: Email dr.nogueira@me.com
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Abstract

Objective:

To estimate the prevalence of anaemia in Brazilian children up to 83·9 months old.

Design:

Systematic review and meta-analysis, using databases PubMed, Scopus, SciELO, Lilacs, Google Scholar, Periódicos Capes, Arca, Biblioteca Virtual em Saúde, Microsoft Academic Search and Cochrane Library using search terms: anaemia, prevalence, child and Brazil. PROSPERO Registration number: CRD42020208818.

Setting:

Cross-sectional, cohort, case–control and intervention studies published between 2007 and 2020 were searched, excluding those who assessed children with an illness or chronic condition. The main outcome was anaemia prevalence. Random effects models based on the inverse variance method were used to estimate pooled prevalence measures. Sensitivity analyses removed studies with high contribution to overall heterogeneity.

Participants:

From 6790 first screened, 134 eligible studies were included, totalling 46 978 children aged zero to 83·9 months analysed, with adequate regions representativeness.

Results:

Pooled prevalence of anaemia was 33 % (95 % CI 30, 35). Sensitivity analyses showed that withdrawal of studies that contributed to high heterogeneity did not influence national average prevalence.

Conclusions:

Childhood anaemia is still a serious public health problem in Brazil, exposing 33 % of Brazilian children to the anaemia repercussions. The main limitation of the study is the estimation of national prevalence based on local surveys, but a large number of studies were included, with representation in all regions of the country, giving strength to the results. In Brazil, more public policies are needed to promote supplementation, fortification and access to healthy eating to reduce the high level of anaemia among children.

Information

Type
Review Article
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of The Nutrition Society
Figure 0

Fig. 1Flow chart of the selection process according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Statement

Figure 1

Fig. 2Forest plot for meta-analysis of the prevalence of anaemia in all Brazilian regions

Figure 2

Fig. 3Forest plot for meta-analysis of the prevalence of anaemia in the Brazilian Midwest and North regions (ordered by year of publication)

Figure 3

Table 1Sensitivity analyses table

Figure 4

Fig. 4Forest plot for meta-analysis of the prevalence of anaemia in the Brazilian Northeast region (ordered by year of publication)

Figure 5

Fig. 5Forest plot for meta-analysis of the prevalence of anaemia in the Brazilian Southeast region (ordered by year of publication)

Figure 6

Fig. 6Forest plot for meta-analysis of the prevalence of anaemia in the Brazilian South region (ordered by year of publication)

Figure 7

Fig. 7Contribution of each study to the overall effect size by Baujat plots

Figure 8

Fig. 8Funnel plot for publication bias analyses considering the 134 studies. The dashed vertical line refers to the position of the pooled prevalence in Brazil

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