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Comparing estimates of body fat in children using published bioelectrical impedance analysis equations
Joanne Williams1, Melissa Wake, Michele Campbell
1Centre for Community Child Health, Murdoch Childrens Research Institute, Melbourne, Australia.
Insights
Body mass index (BMI) may not accurately measure absolute body fat mass (BFM) in children. Bioelectrical impedance analysis (BIA) equations consistently rank children by BFM, offering a reliable measure for studies.
Area of Science:
- Pediatric Health
- Body Composition Analysis
- Obesity Research
Background:
- The association between childhood body fat mass (BFM) and weight-related health issues remains unclear.
- Bioelectrical impedance analysis (BIA) is a practical method for assessing body composition in children.
- Existing BIA equations for estimating BFM in children have not been compared.
Purpose of the Study:
- To compare body mass index (BMI) and BIA for estimating adiposity-related health risks in children.
- To evaluate the consistency of different BIA equations in assessing pediatric body fat.
- To determine the validity of BMI as a measure of absolute BFM in young children.
Main Methods:
- A cross-sectional survey of 341 healthy 5-year-old Australian children.
- Measurements included height, weight, and BIA.
- Percent BFM was estimated using four published BIA predictive equations; rankings were compared.
Main Results:
- Different BIA equations yielded varying percent BFM estimates.
- Increasing BMI correlated with increasing BFM, but with wide estimate ranges for similar BMIs.
- Females exhibited higher percent BFM than males at the same BMI; estimates increased significantly in overweight/obese children.
- The four BIA equations showed high correlation in ranking children by percent BFM.
Conclusions:
- Concerns regarding BMI's accuracy in measuring absolute BFM in children are supported.
- The high correlation among BIA equations suggests any single equation can reliably rank children by relative BFM.
- BIA provides a consistent measure for relative body fat assessment in pediatric population and longitudinal studies.
Background:
The level of body fat mass (BFM) in childhood that is associated with weight related morbidity is unclear. Bioelectrical impedance analysis (BIA) offers an inexpensive, acceptable and portable method for measuring body composition in children. However, different equations have been derived to estimate BFM, and relationships between equations have not been explored.
Objective:
To compare body mass index (BMI) and BIA as tools for estimating adiposity-related health risks in children.
Methods:
Height, weight and BIA were measured in a population based cross-sectional survey of 341 healthy 5-year-old Australian children. Percent BFM was estimated using four published BIA-based predictive equations for pre-school children. Ranking of children according to total BFM was compared for all equations.
Results:
Each equation produced different estimates of percent BFM. In general, increasing BMI was associated with increasing BFM, but wide ranges of BFM estimates were produced for children of similar BMI. For all of the equations, females had a higher percent BFM compared with males of the same BMI (p<0.001). Percent BFM estimates rose rapidly in children classified as overweight/obese (1990 UK growth standard). The equations were highly correlated in their ranking of children from lowest to highest percent BFM.
Conclusion:
Results support concerns about the validity of BMI as an accurate measure of absolute BFM. Percent BFM estimates produced by the four BIA equations were highly correlated, indicating they rank children according to BFM in the same order. This suggests any single equation could provide a measure of relative BFM in children for population and longitudinal studies.
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