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Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Measuring the school impact on child obesity.
Kimberley L Procter1, Mary C Rudolf, Richard G Feltbower
1The University of Leeds, Leeds, United Kingdom. kimprocter@yahoo.co.uk
Social Science & Medicine (1982)
|April 29, 2008
Summary
Schools significantly impact pupil obesity, with a new model identifying institutions needing targeted interventions. This analysis helps allocate resources effectively to schools with the highest unexpected obesity prevalence.
Area of Science:
- Public Health
- Childhood Obesity Research
- Educational Impact Studies
Background:
- Childhood obesity is a significant public health concern.
- Schools play a role in children's health outcomes.
- Identifying school-specific impacts on obesity is crucial for targeted interventions.
Purpose of the Study:
- To develop a model for assessing school-level impact on pupil obesity.
- To identify primary schools where targeted interventions for obesity are most needed.
- To understand the variance in obesity levels between schools, accounting for socio-demographic factors.
Main Methods:
- A 2-year study involving 2367 pupils aged 5 and 9 from 35 Leeds primary schools.
- Calculation of "Observed" obesity levels using mean Body Mass Index Standard Deviation (BMI SDS).
- Adjustment for ethnicity and deprivation to determine "Expected" obesity levels, and calculation of "Value Added" based on obesity changes during school attendance.
Main Results:
- Significant variance in mean BMI SDS was observed across schools (range -0.07 to +0.78).
- Ethnicity and residential deprivation explained only a small part of the obesity variation.
- The "Value Added" metric revealed substantial differences in school rankings compared to "Observed" and "Expected" levels, suggesting a school effect.
Conclusions:
- There is considerable variation in school-level impact on pupil obesity.
- The "Value Added" model effectively identifies schools with unexpected obesity prevalence.
- This methodology can guide resource allocation to schools requiring the most support for obesity interventions.

