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Waist circumference estimation from BMI in Japanese children
Aya Morimoto1, Rimei Nishimura, Akira Kanda
1Division of Diabetes, Endocrinology and Metabolism, Department of Internal Medicine, The Jikei University School of Medicine, 3-25-8 Nishishimbashi, Tokyo 105-8461, Japan. aya@jikei.ac.jp
Diabetes Research and Clinical Practice
|September 2, 2006
Summary
Body Mass Index (BMI) can estimate waist circumference in Japanese schoolchildren. This method aids in identifying metabolic syndrome and obesity when waist measurements are unavailable.
Area of Science:
- Pediatrics
- Public Health
- Metabolic Health
Background:
- Waist circumference is a key metabolic syndrome indicator in children, but not routinely measured in schools.
- Body Mass Index (BMI) is commonly recorded, offering a potential alternative for assessment.
- A gap exists in utilizing readily available BMI data for metabolic health screening in pediatric populations.
Purpose of the Study:
- To investigate the relationship between BMI and waist circumference in Japanese schoolchildren.
- To determine if BMI can reliably estimate waist circumference for metabolic syndrome screening.
- To provide an alternative method for assessing pediatric metabolic health using existing data.
Main Methods:
- Analysis of a large-scale, population-based cohort of Japanese schoolchildren.
- Evaluation of the linear relationship between Body Mass Index (BMI) and waist circumference.
- Statistical analysis stratified by age and sex groups (9-10 and 12-13 years).
Main Results:
- Significant linear correlations were found between BMI and waist circumference across all studied age and sex groups.
- Specific regression equations were derived for each group, demonstrating predictability (e.g., r=0.940 for 9-10-year-old boys).
- These findings confirm BMI as a viable proxy for estimating waist circumference in this population.
Conclusions:
- Waist circumference can be accurately estimated from BMI in Japanese schoolchildren.
- This BMI-based estimation offers a practical alternative for metabolic syndrome and obesity detection in schools.
- Leveraging BMI data can improve early identification of metabolic risks in children.
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