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[Linear growth retardation in children under five years of age: a baseline study]
Anete Rissin1, José Natal Figueiroa, Maria Helena D'Aquino Benício
1Departamento de Pesquisas, Instituto de Medicina Integral Prof. Fernando Figueira - IMIP, Rua dos Coelhos, nº 300. 50070-550 Recife PE.arissin@gmail.com
Insights
Linear growth retardation in children is linked to multiple factors including income, mother's education, and birth weight. Addressing these social, biological, and healthcare determinants is crucial for child development.
Area of Science:
- Pediatrics
- Public Health
- Child Development
Context:
- Linear growth retardation, a key indicator of child undernutrition, affects millions globally.
- Understanding its determinants is vital for effective public health interventions.
- This study focuses on children under five years old.
Purpose:
- To determine the prevalence of linear growth retardation (stunting).
- To analyze factors associated with stunting across socio-economic, residence, sanitary, maternal, biological, and healthcare access domains.
- To identify modifiable risk factors for targeted interventions.
Summary:
- A study of 2040 children under five identified significant associations between stunting and variables like income, mother's schooling, birth weight, water supply, and healthcare access.
- Poisson regression analysis revealed key risk factors, emphasizing the multi-causal nature of growth delay.
- Positive associations were found with poor housing conditions (roof type, inhabitants per room).
Impact:
- Identifies critical risk factors for linear growth retardation in young children.
- Highlights the need for integrated interventions addressing socio-economic, environmental, and healthcare factors.
- Provides evidence for policymakers to develop targeted strategies to combat childhood stunting.
Abstract:
The scope of this study was to describe the prevalence of, and analyze factors associated with, linear growth retardation in children. The baseline study analyzed 2040 children under the age of five, establishing a possible association between growth delay (height/age index < 2 scores Z) and variables in six hierarchical blocks: socio-economic, residence, sanitary, maternal, biological and healthcare access. Multivariate analysis was performed using Poisson regression with the robust standard error option, obtaining adjusted prevalence ratios with a CI of 95% and the respective significant probability values. Among non-binary variables, there was a positive association with roof type and number of inhabitants per room and a negative association with income per capita, mother's schooling and birth weight. The adjusted analysis also indicated water supply, visit from the community health agent, birth delivery location, internment for diarrhea, or for pneumonia and birth weight as significant variables. Several risk factors were identified for linear growth retardation pointing to the multi-causal aspects of the problem and highlighting the need for control measures by the various hierarchical government agents.
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