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Neck circumference cutoff points to identify excess android fat
Mariana de Santis Filgueiras1, Fernanda Martins de Albuquerque1, Ana Paula Pereira Castro1
1Universidade Federal de Viçosa (UFV), Departamento de Nutrição e Saúde, Viçosa, MG, Brazil.
Jornal De Pediatria
|February 8, 2019
Summary
Neck circumference effectively identifies excess android fat in children, offering a simple method for assessing central adiposity. New cutoff points were proposed for Brazilian children, showing good accuracy in identifying excess fat.
Area of Science:
- Pediatrics
- Public Health
- Anthropometry
Background:
- Excess android fat in children is linked to metabolic risks.
- Accurate identification of central adiposity is crucial for early intervention.
- Non-invasive anthropometric measures are needed for widespread screening.
Purpose of the Study:
- To assess neck circumference's ability to detect excess android fat in children.
- To establish gender-specific cutoff points for neck circumference in Brazilian children.
- To evaluate the diagnostic accuracy of neck circumference for central adiposity.
Main Methods:
- Cross-sectional study of 376 children aged 8-9 years.
- Measured neck circumference, weight, and height.
- Assessed android fat percentage using dual-energy X-ray absorptiometry (DXA).
- Utilized linear regression and ROC curve analysis.
Main Results:
- Neck circumference showed a significant association with android fat (β: 2.94).
- High accuracy in identifying excess android fat was observed in both girls (AUC: 0.909) and boys (AUC: 0.938).
- Proposed cutoff points demonstrated satisfactory sensitivity, specificity, and predictive values.
Conclusions:
- Neck circumference is a reliable indicator of excess android fat in children.
- This measurement can be utilized in clinical and population studies for central adiposity assessment.
- The proposed cutoff points require validation in diverse populations.
Keywords:
AdiposidadeAdiposityAnthropometryAntropometriaAvaliação nutricionalCurva ROCFatores de riscoNutritional assessmentROC curveRisk factorsMore Related Videos
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