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Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Childhood obesity: are we all speaking the same language?
Katherine M Flegal1, Cynthia L Ogden
1National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, MD 20782, USA. kmf2@cdc.gov
Advances in Nutrition (Bethesda, Md.)
|February 15, 2012
Summary
Defining childhood overweight and obesity is complex due to varied metrics and reference data. Body Mass Index (BMI) is widely used for screening, but considering other factors can improve risk prediction.
Area of Science:
- Pediatric Endocrinology
- Public Health
- Biostatistics
Background:
- Childhood weight and adiposity metrics present challenges in terminology and measurement.
- Studies predominantly use Body Mass Index (BMI) over direct body fat measures.
- Current definitions of overweight and obesity are statistical, not risk-based, leading to inconsistent results.
Purpose of the Study:
- To address the complexity and confusion in defining childhood overweight and obesity.
- To explore the utility of BMI cut-points in predicting future health risks.
- To evaluate the effectiveness of BMI for screening and identify complementary factors.
Main Methods:
- Review of existing terminology and measurement metrics for childhood weight and adiposity.
- Analysis of Body Mass Index (BMI) as a primary screening tool.
- Consideration of various reference data sets and statistical definitions.
- Exploration of additional factors beyond BMI for risk assessment.
Main Results:
- Lack of strong evidence supporting any single definition for childhood overweight and obesity.
- BMI-based definitions offer practical utility for public health surveillance.
- Different definitions yield varying results, highlighting the need for nuanced approaches.
- Potential for improved risk prediction by integrating BMI with other factors like race-ethnicity, sex, age, and family history.
Conclusions:
- BMI-based definitions, despite limitations, are valuable for general public health surveillance and screening of childhood weight.
- Future research should focus on BMI cut-points that best predict health risks across diverse populations.
- Integrating BMI with demographic and familial factors may enhance screening efficiency and accuracy for childhood obesity.
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