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Updated: May 3, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Sensitivity and specificity of body mass index in determining obesity in children
Mehnoosh Samadi1, Haleh Sadrzade-Yeganeh1, Leila Azadbakht2
1Department of Community Nutrition, School of Nutritional Sciences and Dietetics and School of Public Health, Tehran University of Medical Sciences, Isfahan, Iran.
Insights
Fat Mass Index (FMI) is more accurate for identifying childhood obesity than Body Mass Index (BMI). This study found FMI better detects true obesity in girls aged 8-10 years.
Area of Science:
- Pediatric Endocrinology
- Nutritional Science
- Public Health
Background:
- Childhood obesity is a growing public health concern.
- Accurate assessment of obesity in children is crucial for timely intervention.
- Existing methods like Body Mass Index (BMI) may have limitations in accurately identifying excess fat mass.
Purpose of the Study:
- To compare the sensitivity and specificity of Body Mass Index (BMI) against the Center for Disease Control 2000 (CDC) percentiles.
- To evaluate Fat Mass Index (FMI) as a more precise indicator of true obesity in children.
- To assess the diagnostic performance of BMI in identifying obesity based on FMI criteria.
Main Methods:
- A cross-sectional study involving 410 primary school girls aged 8-10 years.
- Body Mass Index (BMI) calculated from height and weight.
- Fat Mass Index (FMI) measured using a body composition analyzer (BCA).
- Receiver Operating Characteristic (ROC) curve analysis to determine BMI's performance against FMI.
Main Results:
- The area under the ROC curve for obesity detection was 0.75.
- A BMI cutoff of 21.2 kg/m² demonstrated 79% sensitivity and 73% specificity for identifying obesity based on FMI.
- Agreement between BMI and FMI for obesity classification was moderate (Kappa coefficient = 0.5).
Conclusions:
- Fat Mass Index (FMI) appears to be a more accurate measure for determining obesity in children compared to Body Mass Index (BMI).
- While BMI identified 79% of FMI-defined obese children, it also misclassified 27% of non-obese children as obese.
- Further research is warranted to validate FMI's utility in pediatric obesity assessment.
Background:
The purpose of this study is to determine sensitivity and specificity of body mass index (BMI) based on Center for Disease Control 2000 (CDC) percentiles compared to fat mass index (FMI) as an indicator of being really obese in children. Obesity was compared based on these two indexes among children under study.
Materials And Methods:
This cross-sectional study was conducted on 410 primary school girls aged 8-10 years, in the city of Esfahan. Weight and height were measured and BMI was calculated based on weight divided by height squared. Fat mass was measured by body composition analyzer (BCA) and FMI was calculated by dividing fat mass by height squared. FMI at or above the 90(th) percentile and FMI less than 90(th) percentile of reference data were considered as criterion for defining real obesity and normal adiposity, respectively. Receiver operating characteristic (ROC) curve was used to assess the performance of BMI in detecting obesity on the basis of FMI. Furthermore, the rate of agreement between two indices was calculated using Kappa coefficient P number.
Results:
Mean and standard deviation of FMI and BMI in all children were 6 ± 2.1 (kg/m(2)) and 19.4 ± 3 (kg/m(2)), respectively. The area under the ROC curve for obesity was 0.75. The cutoff point, sensitivity, and specificity of BMI to classify children as obese compared to FMI were 21.2 kg/m(2), 79%, and 73%, respectively. In this cutoff point for BMI (21.2 kg/m(2)), the agreement rate between BMI and FMI for determining obesity status was 0.5 (P < 0.001).
Conclusion:
Our results indicated 79% of children who were recognized as obese based on FMI, were also classified as obese according to BMI. Twenty-seven percent of children, who were non-obese, were identified as obese based on BMI. It appears that FMI compared to BMI is more accurate in determining obesity, but further studies are required.
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