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Updated: Aug 18, 2026
Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
[Proposal for a nutritional study using a survey of anthropometric data on school-age children from the Molise
1Istituto Tecnico Commerciale L. Pilla, Sezione di Campobasso.
Insights
This preliminary study surveyed children aged 6-10 years using anthropometric data. Results indicate a trend towards higher body weight relative to height, suggesting a need for further large-scale research on child nutrition status.
Area of Science:
- Pediatric Nutrition
- Anthropometry
- Public Health
Context:
- Assessing the nutritional status of children is crucial for early identification of health risks.
- Anthropometric measurements provide objective data for evaluating growth and body composition.
- This preliminary study in the Molise countryside lays the groundwork for a larger investigation.
Purpose:
- To establish methodological and operational foundations for estimating the nutritional status of children aged 6-10 years.
- To analyze key anthropometric parameters in a defined pediatric population.
- To evaluate the feasibility of a large-scale study based on initial findings.
Summary:
- A survey of anthropometric data was conducted on a small sample of children aged 6-10 years.
- Analysis revealed a tendency towards elevated body weight in proportion to height, indicating a more robust body structure.
- The findings support the suitability of proceeding with a comprehensive, large-scale study.
Impact:
- Provides a validated methodology for future large-scale pediatric nutrition surveys.
- Highlights potential public health concerns regarding childhood overweight in the studied region.
- Informs the design and scope of subsequent research on child nutrition status.
Abstract:
The present work is a preliminary study, preceding a larger one in the Molise countryside ; its aim is to set out methodological and operative basis to estimate the nutrition state of children aged 6-10 years, through a survey of anthropometric data. The list of considered parameters is here related. From the analysis of the different parameters it comes out that the tested population shows a trend to have a body weight too high compared to its height. That involves a more thick-set and less long-limbed body structure. Although the sample is small in number, the results enable us to believe that carrying on the study on a vast scale is suitable.
