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Updated: May 1, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Waist circumference percentiles in 2-18 year old Indian children
Anuradha Khadilkar1, Veena Ekbote1, Shashi Chiplonkar1
1Hirabai Cowasji Jehangir Medical Research Institute, Jehangir Hospital, Pune, India.
Insights
This study created waist circumference (WC) percentile curves for Indian children. A 70th WC percentile cutoff effectively identifies children at risk for metabolic syndrome (MS).
Area of Science:
- Pediatric Endocrinology
- Public Health Nutrition
- Growth Monitoring
Background:
- Metabolic syndrome (MS) is a growing concern in children, necessitating reliable screening tools.
- Waist circumference (WC) is a key indicator of central obesity and a predictor of MS risk.
- Lack of established reference data for WC in Indian children hinders accurate risk assessment.
Purpose of the Study:
- To establish age- and sex-specific reference percentile curves for waist circumference (WC) in Indian children.
- To determine an optimal WC percentile cutoff for identifying children at risk for metabolic syndrome (MS).
Main Methods:
- A multicenter, cross-sectional study involving 10,842 Indian children (aged [age range not specified]) from 5 major cities.
- Waist circumference (WC) measurements were taken using standardized techniques.
- The LMS method was used to compute sex-specific reference percentiles, and Receiver Operating Characteristic (ROC) curve analysis identified the optimal MS risk cutoff.
Main Results:
- Age- and sex-specific WC percentile curves (5th to 95th) were generated, showing increased WC with age in both genders.
- Median WC was higher in boys than girls after 15 years of age.
- The 70th WC percentile demonstrated high sensitivity (0.82-0.84) and specificity (0.85) for identifying MS risk, with significant Area Under the ROC Curve (0.88-0.92).
Conclusions:
- The study provides valuable age- and sex-specific reference curves for WC in Indian children.
- A cutoff of the 70th WC percentile is recommended for effectively screening Indian children for metabolic syndrome (MS) risk.
Objectives:
To develop reference percentile curves in Indian children for waist circumference (WC), and to provide a cutoff of WC percentile to identify children at risk for metabolic syndrome (MS).
Study Design:
A multicenter, cross-sectional study was performed in 5 major Indian cities. Height, weight, and blood pressure (BP) were measured in 10,842 children (6065 boys). Elevated BP was defined as either systolic BP or diastolic BP >95th percentile. WC was measured with the child standing using a stretch-resistant tape. Sex-specific reference percentiles were computed using the LMS method which constructs reference percentiles adjusted for skewness. To determine optimal cutoffs for WC percentiles, a validation sample of 208 children was assessed for MS risk factors (ie, anthropometry, BP, blood lipids), and receiver operating characteristic (ROC) curve analysis was performed.
Results:
Age- and sex-specific WC percentiles (5th, 10th, 15th, 25th, 50th, 75th, 85th, 90th, and 95th) are presented. WC values increased with age in both the boys and the girls. The median WC at age >15 years was greater in boys compared with girls. ROC analysis suggested the 70th percentile as a cutoff for MS risk (sensitivity, 0.84 in boys and 0.82 in girls; specificity, 0.85 in both boys and girls; area under the ROC curve, 0.88 in boys and 0.92 in girls).
Conclusion:
Age- and sex-specific reference curves for WC for Indian children and cutoff values of 70th WC percentile for screening for MS risk are provided.
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