Dataset Information

High-Resolution Three-Dimensional Photonic Scan-Derived Equations Improve Body Surface Area Prediction in Diverse Populations.

ABSTRACT:

Objective

Equations for predicting body surface area (BSA) produce flawed estimates, especially for individuals with obesity. This study aimed to compare BSA measured by a three-dimensional photonic scanner (3DPS) with BSA predicted by six commonly cited prediction equations and to develop new prediction equations if warranted.

Methods

The 3DPS was validated against manual measurements by breadth caliper for body thicknesses measured at three anatomical sites on a mannequin. BSA was derived from 3DPS whole-body scans of 67 males and 201 females, aged 18 to 83 years, with BMI between 17.8 and 77.8 kg/m² and varied races/ethnicities.

Results

Width and depth measurements by 3DPS and caliper were within 1%, except for hip, with an error of 1.8%. BSA_3DPS differed from BSA predicted by each equation (P < 0.05), except for males by DuBois and DuBois (P = 0.60), Tikuisis (P = 0.27), and Yu (P = 0.45) and for females by Tikuisis (P = 0.70). The combined and sex-specific equations obtained by regressing ln(BSA) on ln(weight in kilograms [W]) and ln(height in meters [H]) are as follows (R² and SEE correspond to ln[BSA]): combined, BSA_3DPS = 0.03216 × W^0.4904 × H^0.3769 , R² = 0.982, SEE = 0.021; males, BSA_3DPS = 0.01624 × W^0.4725 × H^0.5231 ; and females, BSA_3DPS = 0.01522 × W^0.4921 × H^0.5231 , R² = 0.986, SEE = 0.019.

Conclusions

New height and weight BSA equations improve BSA estimation in individuals with BMI ≥ 40 and in African Americans, Hispanic Americans, and Asian Americans.

SUBMITTER: Ashby-Thompson M

PROVIDER: S-EPMC7375836 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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Publications

High-Resolution Three-Dimensional Photonic Scan-Derived Equations Improve Body Surface Area Prediction in Diverse Populations.

Ashby-Thompson Maxine M Ji Ying Y Wang Jack J Yu Wen W Thornton John C JC Wolper Carla C Weil Richard R Chambers Earle C EC Laferrère Blandine B Pi-Sunyer F Xavier FX Gallagher Dympna D

Obesity (Silver Spring, Md.) 20200226 4

<h4>Objective</h4>Equations for predicting body surface area (BSA) produce flawed estimates, especially for individuals with obesity. This study aimed to compare BSA measured by a three-dimensional photonic scanner (3DPS) with BSA predicted by six commonly cited prediction equations and to develop new prediction equations if warranted.<h4>Methods</h4>The 3DPS was validated against manual measurements by breadth caliper for body thicknesses measured at three anatomical sites on a mannequin. BSA w ...[more]

PMID: 32100449

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Project description:BackgroundBody shape and size are typically described using measures such as body mass index (BMI) and waist circumference, which predict disease risks in adults. However, this approach may underestimate the true variability in childhood body shape and size.ObjectiveTo use a comprehensive three-dimensional photonic scan approach to describe variation in childhood body shape and size.Subjects/methodsAt age 6 years, 3350 children from the population-based 2004 Pelotas birth cohort study were assessed by three-dimensional photonic scanner, traditional anthropometry and dual X-ray absorptiometry. Principal component analysis (PCA) was performed on height and 24 photonic scan variables (circumferences, lengths/widths, volumes and surface areas).ResultsPCA identified four independent components of children's body shape and size, which we termed: Corpulence, Central:peripheral ratio, Height and arm lengths, and Shoulder diameter. Corpulence showed strong correlations with traditional anthropometric and body composition measures (r>0.90 with weight, BMI, waist circumference and fat mass; r>0.70 with height, lean mass and bone mass); in contrast, the other three components showed weak or moderate correlations with those measures (all r<0.45). There was no sex difference in Corpulence, but boys had higher Central:peripheral ratio, Height and arm lengths and Shoulder diameter values than girls. Furthermore, children with low birth weight had lower Corpulence and Height and arm lengths but higher Central:peripheral ratio and Shoulder diameter than other children. Children from high socio-economic position (SEP) families had higher Corpulence and Height and arm lengths than other children. Finally, white children had higher Corpulence and Central:peripheral ratio than mixed or black children.ConclusionsComprehensive assessment by three-dimensional photonic scanning identified components of childhood body shape and size not captured by traditional anthropometry or body composition measures. Differences in these novel components by sex, birth weight, SEP and skin colour may indicate their potential relevance to disease risks.

Dataset Information

High-Resolution Three-Dimensional Photonic Scan-Derived Equations Improve Body Surface Area Prediction in Diverse Populations.

Objective

Methods

Results

Conclusions

Publications

High-Resolution Three-Dimensional Photonic Scan-Derived Equations Improve Body Surface Area Prediction in Diverse Populations.

Similar Datasets

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