Adolescent Inflammatory Biomarkers and Dietary Patterns in Brazil

A cross-sectional study of 391 adolescents aged 17-18 from public schools in São Luís, Maranhão State, Brazil. The dataset likely contains socioeconomic factors, dietary patterns, and inflammatory biomarker levels, analyzed using structural equation modeling. The research was authored by Eduarda Gomes Bogéa and is available via Open Access.

Use Cases

• Modeling relationships between socioeconomic status and inflammation based on latent variables constructed from maternal schooling, family income, and economic class.
• Analyzing the association between identified dietary patterns (Western, basic Brazilian, healthy) and biomarker levels.
• Investigating the link between excess weight and inflammatory biomarker levels as mentioned in the study findings.

Strengths

• Data from 391 adolescents provides a substantive sample for analysis.
• The study design employed three-stage random cluster sampling, which suggests a structured data collection approach.
• Analysis used structural equation modeling, indicating the dataset likely contains variables suitable for complex causal modeling.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• The dataset's freshness and last update date are unverified.
• Data may reflect geographic bias inherent to its collection from a single city in Brazil.

Provenance

Source

paperswithcode

Collection Method

Three-stage random cluster sampling in schools, classes, and students; data collected via food frequency questionnaires and biomarker measurement.

Geography

São Luís, Maranhão State, Brazil