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Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Screening for childhood obesity: international vs population-specific definitions. Which is more appropriate?
1Faculty of Medicine, National University of Singapore, Singapore. crosanz@singnet.com.sg
Insights
International obesity guidelines may underestimate childhood obesity in Singaporean Chinese children. Population-specific measures using percentage-weight-for-height (PWH) are recommended for accurate screening over body mass index (BMI) cutoffs.
Area of Science:
- Pediatric endocrinology
- Public health
- Anthropometry
Background:
- Childhood obesity is a growing global health concern.
- Accurate screening tools are crucial for early detection and intervention.
- Existing international definitions may not accurately reflect local population characteristics.
Purpose of the Study:
- To examine the relationship between body mass index (BMI), percentage-weight-for-height (PWH), and percentage body fat (PBF) in Singaporean Chinese children.
- To evaluate the effectiveness of the International Obesity Task Force (IOTF) BMI criteria versus a Singapore population-specific PWH definition for identifying childhood obesity.
Main Methods:
- A cross-sectional study involving 623 Singaporean Chinese children aged 6-11 years.
- Measurements included height, weight, and leg-to-leg bioelectrical impedance analysis for PBF.
- Spearman's correlation assessed associations between BMI, PWH, and PBF; sensitivity and specificity of IOTF-BMI and PWH cutoffs were compared against PBF-defined obesity.
Main Results:
- Strong correlations were observed between BMI, PWH, and PBF (r=0.76–0.87).
- The IOTF-BMI criteria identified a lower obesity prevalence (6.9%) compared to PWH (16.4%).
- IOTF-BMI showed lower sensitivity (75.0%) but higher specificity (96.0%) than PWH (91.6% sensitivity, 86.6% specificity).
Conclusions:
- International Obesity Task Force (IOTF) BMI cutoffs exhibit low sensitivity in Singaporean Chinese children, potentially underestimating local obesity prevalence.
- Population-specific measures, such as PWH, are recommended for more accurate childhood obesity screening in this demographic.
- Tailoring screening tools to local population data is essential for effective public health strategies.
Aim:
The objectives of this study are: (1) to study the relation between body mass index (BMI), percentage-weight-for-height (PWH) and percentage body fat (PBF) in Singaporean Chinese children; (2) to assess the applicability of an international definition of obesity (the International Obesity Task Force (IOTF) BMI) as a screening tool to detect childhood obesity, as compared with the current Singapore population-specific definition using PWH.
Methods:
A total of 623 Chinese children aged 6-11 y (321 males, 302 females) were recruited from a school by proportionate (40%) stratified random sampling. BMI and PWH were calculated from weight and height, while PBF was derived using leg-to-leg bioelectrical impedance analysis. The strength of association among the three indices of obesity was assessed using Spearman's correlation coefficient. Obese children were defined as those above the 95th percentile of PBF in each age-gender-specific group. Sensitivity and specificity of IOTF-BMI cutoff values and PWH cutoff values were compared by testing their ability to correctly identify obese children.
Results:
All three indices correlated well with one another (BMI:PWH r=0.83, BMI:PBF r=0.87, PWH:PBF r=0.76). Prevalence of obesity was lower using IOTF-BMI cutoffs (6.9%) than using PWH cutoffs (16.4%). The sensitivity and specificity of IOTF-BMI cutoff values were 75.0 and 96.0%, respectively, with sensitivity differing between boys (83.3%) and girls (66.6%) (P=0.35). In comparison, PWH cutoff values had higher sensitivity (91.6%) but lower specificity (86.6%), with no significant difference between the genders.
Conclusion:
IOTF-recommended BMI cutoff values had low sensitivity and may underestimate the local prevalence of childhood obesity. For screening purposes, we recommend that population-specific measures rather than international cutoff values be used.
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