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Published on: June 20, 2020
[Eating patterns among children aged 13 to 35 months and association with maternal characteristics]
Eduarda Gomes Bogea1, Maylla Luanna Barbosa Martins1, Wyllyane Rayana Chaves Carvalho1
1Universidade Federal do Maranhão, São Luís, Brasil.
Insights
Maternal characteristics influence children's eating habits, with unhealthy patterns linked to younger mothers and lower education. Identifying these child nutrition patterns is crucial for early intervention.
Area of Science:
- Pediatrics
- Nutritional Science
- Public Health
Background:
- Childhood eating patterns significantly impact long-term health.
- Understanding the link between maternal factors and child diet is essential for public health initiatives.
Purpose of the Study:
- To identify distinct eating patterns in children aged 13-35 months.
- To investigate the association between these eating patterns and maternal characteristics.
Main Methods:
- Principal components factor analysis with orthogonal varimax rotation was used to identify eating patterns from 24-hour dietary recalls.
- Hierarchical modeling with Poisson regression and robust variance estimates analyzed the association with maternal factors.
Main Results:
- Four eating patterns were identified: common Brazilian, dairy/porridge, healthy, and unhealthy.
- The dairy/porridge pattern showed a negative association with breast milk, suggesting substitution.
- Unhealthy eating patterns were associated with multiparity, lower maternal education, and maternal age under 20.
Conclusions:
- Children's eating patterns vary based on maternal age, education, and number of children.
- Three of the identified patterns were characterized by nutrient-poor, high-starch, high-fat, and high-sugar foods.
- Interventions targeting maternal education and socioeconomic factors may improve child nutrition.
Abstract:
This study sought to identify eating patterns among children and to verify their association with maternal characteristics. We studied 1,185 children aged 13 to 35 months. Food consumption was investigated using the 24h dietary recall and the eating patterns were identified using principal components factor analysis, followed by orthogonal varimax rotation. We carried out a hierarchical modeling using poisson regression with robust variance estimates in order to estimate prevalence ratios. We identified four eating patterns: common Brazilian, dairy/porridge, healthy and unhealthy. The variance explained by these factors was of 34.3% and the common Brazilian pattern was the one that most contributed to proportional variance. We highlight the dairy/porridge pattern, in which breast milk had negative factorial loading, suggesting its substitution by cow and modified milk. The data reveal that the characterization of children's eating patterns diverges according to maternal characteristics, such as age, educational level and number of children. Three of the four patterns we found are represented by foods rich in starch, saturated fat and simple sugar and poor in vitamins, minerals and fibers. Multiparity, lower educational levels and maternal age under 20 years were associated with a lower consumption of foods considered to be healthy and important in child development.
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