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Association between socioeconomic and biological factors and infant weight gain: Brazilian Demographic and Health
Jonas Augusto C Silveira1, Fernando Antônio B Colugnati2, Ana Paula Poblacion1
1Department of Pediatrics, Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil.
Insights
Poverty and lower maternal education are linked to reduced infant weight gain. Addressing these socioeconomic factors is crucial for improving child nutrition outcomes.
Area of Science:
- Public Health
- Pediatrics
- Socioeconomic Determinants of Health
Background:
- Infant weight gain is a critical indicator of child health and development.
- Socioeconomic and biological factors significantly influence infant growth trajectories.
- Understanding these determinants is essential for targeted public health interventions.
Purpose of the Study:
- To investigate the relationship between socioeconomic status, biological factors, and infant weight gain.
- To identify key predictors of conditional weight gain (CWG) in infants aged 0-23 months in Brazil.
Main Methods:
- Utilized data from a nationally representative survey in Brazil (2006/07) with 1763 infants.
- Employed simple and hierarchical multiple linear regression, accounting for complex survey design.
- Applied the UNICEF Conceptual Framework for Malnutrition to structure hierarchical models.
Main Results:
- Initial analysis showed inverse associations between poverty, rurality, and CWG.
- These associations diminished after adjusting for maternal and household characteristics.
- In the final model, lower economic status, limited maternal education, and maternal fever were associated with reduced CWG.
Conclusions:
- Poverty and lower human capital remain significant factors associated with suboptimal infant postnatal weight gain.
- The study effectively highlighted socioeconomic inequalities impacting infant growth.
- The findings underscore the need for interventions addressing basic, underlying, and immediate causes of malnutrition.
Objective:
To examine the associations between socioeconomic and biological factors and infant weight gain.
Methods:
All infants (0-23 months of age) with available birth and postnatal weight data (n = 1763) were selected from the last nationally representative survey with complex probability sampling conducted in Brazil (2006/07). The outcome variable was conditional weight gain (CWG), which represents how much an individual has deviated from his/her expected weight gain, given the birth weight. Associations were estimated using simple and hierarchical multiple linear regression, considering the survey sampling design, and presented in standard deviations of CWG with their respective 95% of confidence intervals. Hierarchical models were designed considering the UNICEF Conceptual Framework for Malnutrition (basic, underlying and immediate causes).
Results:
The poorest Brazilian regions (-0.14 [-0.25; -0.04]) and rural areas (-0.14 [-0.26;-0.02]) were inversely associated with CWG in the basic causes model. However, this association disappeared after adjusting for maternal and household characteristics. In the final hierarchical model, lower economic status (-0.09 [-0.15; -0.03]), human capital outcomes (maternal education < 4th grade (-0.14[-0.29; 0.01]), higher maternal height (0.02[0.01; 0.03])), and fever in the past 2 weeks (-0.13[-0.26; -0.01]) were associated with postnatal weight gain.
Conclusion:
The results showed that poverty and lower human capital are still key factors associated with poor postnatal weight gain. The approach used in these analyses was sensitive to characterize inequalities among different socioeconomic contexts and to identify factors associated with CWG in different levels of determination.
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