Maxine Ashby-Thompson1, Ying Ji1, Jack Wang1, Wen Yu1, John C Thornton2, Carla Wolper1, Richard Weil3, Earle C Chambers4, Blandine Laferrère1,5, F Xavier Pi-Sunyer1,6, Dympna Gallagher1,6. 1. New York Obesity Research Center, Department of Medicine, College of Physicians and Surgeons, Columbia University, New York, New York, USA. 2. Thornton Consulting, Mahopac, New York, USA. 3. Division of Endocrinology, Diabetes, and Bone Disease, Mount Sinai Health System, Icahn School of Medicine, New York, New York, USA. 4. Department of Family and Social Medicine, Albert Einstein College of Medicine, Bronx, New York, USA. 5. Division of Endocrinology, Department of Medicine, College of Physicians and Surgeons, Columbia University, New York, New York, USA. 6. Institute of Human Nutrition, Department of Medicine, College of Physicians and Surgeons, Columbia University, New York, New York, USA.
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%. BSA3DPS 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, BSA3DPS = 0.03216 × W0.4904 × H0.3769 , R2 = 0.982, SEE = 0.021; males, BSA3DPS = 0.01624 × W0.4725 × H0.5231 ; and females, BSA3DPS = 0.01522 × W0.4921 × H0.5231 , 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.
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%. BSA3DPS 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, BSA3DPS = 0.03216 × W0.4904 × H0.3769 , R2 = 0.982, SEE = 0.021; males, BSA3DPS = 0.01624 × W0.4725 × H0.5231 ; and females, BSA3DPS = 0.01522 × W0.4921 × H0.5231 , 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.
Authors: Jack Wang; Dympna Gallagher; John C Thornton; Wen Yu; Mary Horlick; F Xavier Pi-Sunyer Journal: Am J Clin Nutr Date: 2006-04 Impact factor: 7.045
Authors: Earle C Chambers; Stanley Heshka; Lisl Y Huffaker; Yer Xiong; Jack Wang; Edward Eden; Dympna Gallagher; F Xavier Pi-Sunyer Journal: Lung Date: 2007-10-19 Impact factor: 2.584
Authors: L P Santos; K K Ong; F Day; J C K Wells; A Matijasevich; I S Santos; C G Victora; A J D Barros Journal: Int J Obes (Lond) Date: 2016-02-16 Impact factor: 5.095