Growth Trajectories of Stunted Children Under Five in Guatemala

Rohloff, Peter and the Centro de Investigacion de la Salud Indigena Dataverse provide a deidentified clinical dataset for replicating a study on child growth. The data supports modeling growth trajectories in stunted children under five years old through retrospective analysis. Columns likely contain repeated anthropometric measurements and related clinical variables for longitudinal analysis.

Use Cases

• Modeling longitudinal growth trajectories based on repeated clinical measurements.
• Analyzing factors associated with stunting in children under five.
• Replicating statistical analyses from the associated research paper.
• Studying child health outcomes in indigenous Guatemalan populations.

Strengths

• Dataset is structured for replication, indicating a direct link to a published paper.
• Data is deidentified, addressing ethical concerns for clinical research.
• Cross-platform presence on Dataverse suggests established curation and accessibility.

Limitations

• Column names and data dictionary details are not provided in the input, limiting precise understanding of variables.
• Key metadata such as row count, file size, and license are missing from all sources.
• The dataset's temporal coverage and specific geographic detail within Guatemala are not stated.

Provenance

Source

Centro de Investigacion de la Salud Indigena Dataverse, author Peter Rohloff.

Collection Method

Retrospective analysis of clinical data, gathered for a research paper.

Time Range

Covers children under 5 years of age, but specific collection dates are unknown.

Freshness

Last updated 2026-03-19.

Geography

Guatemala.