BACKGROUND: Because obesity is an independent risk factor for breast cancer recurrence, assessment of body composition is crucial to guide weight management in breast cancer survivors (BCS). This study assessed whether dual-energy x-ray absorptiometry (DXA) and bioelectrical impedance analysis (BIA) yield similar results for body composition in BCS. METHODS: Body fat percentage, lean body mass, and fat mass were estimated using DXA and BIA under fasting conditions in 89 BCS. BMI categories included normal (18-24.99 kg/m2 ; n = 28), overweight (25.0-29.9 kg/m2 ; n = 21), obese (>30 kg/m2 ; n = 23), and severely obese BCS (>35 kg/m2 ; n = 17). Agreement between the devices was assessed by Bland-Altman analysis. RESULTS: There was no agreement between the 2 devices for body fat percentage (DXA: 44.2 ± 6.2% vs BIA: 40.4 ± 7.8%), lean body mass (DXA: 39.1 ± 7.6 kg vs BIA: 42.9 ± 5.9 kg), and fat mass (DXA: 32.4 ± 10.8 kg vs BIA: 30.6 ± 11.0 kg; P < .001). These findings were consistent in normal, overweight, and obese BCS. There was agreement between the 2 devices for fat mass (DXA: 48.7 ± 7.2 kg vs BIA: 47.9 ± 5.7 kg) in severely obese BCS (P = .102), possibly due to small sample size. CONCLUSIONS: BIA may underestimate body fat percentage and fat mass and overestimate lean body mass, compared with DXA. Future studies are warranted to assess the use of these 2 devices in a larger cohort of BCS within BMI categories.
BACKGROUND: Because obesity is an independent risk factor for breast cancer recurrence, assessment of body composition is crucial to guide weight management in breast cancer survivors (BCS). This study assessed whether dual-energy x-ray absorptiometry (DXA) and bioelectrical impedance analysis (BIA) yield similar results for body composition in BCS. METHODS: Body fat percentage, lean body mass, and fat mass were estimated using DXA and BIA under fasting conditions in 89 BCS. BMI categories included normal (18-24.99 kg/m2 ; n = 28), overweight (25.0-29.9 kg/m2 ; n = 21), obese (>30 kg/m2 ; n = 23), and severely obese BCS (>35 kg/m2 ; n = 17). Agreement between the devices was assessed by Bland-Altman analysis. RESULTS: There was no agreement between the 2 devices for body fat percentage (DXA: 44.2 ± 6.2% vs BIA: 40.4 ± 7.8%), lean body mass (DXA: 39.1 ± 7.6 kg vs BIA: 42.9 ± 5.9 kg), and fat mass (DXA: 32.4 ± 10.8 kg vs BIA: 30.6 ± 11.0 kg; P < .001). These findings were consistent in normal, overweight, and obese BCS. There was agreement between the 2 devices for fat mass (DXA: 48.7 ± 7.2 kg vs BIA: 47.9 ± 5.7 kg) in severely obese BCS (P = .102), possibly due to small sample size. CONCLUSIONS:BIA may underestimate body fat percentage and fat mass and overestimate lean body mass, compared with DXA. Future studies are warranted to assess the use of these 2 devices in a larger cohort of BCS within BMI categories.
Authors: J A Kanaley; C Sames; L Swisher; A G Swick; L L Ploutz-Snyder; C M Steppan; K S Sagendorf; D Feiglin; E B Jaynes; R A Meyer; R S Weinstock Journal: Metabolism Date: 2001-08 Impact factor: 8.694
Authors: Christopher C Riedl; Nikolaus Luft; Clemens Bernhart; Michael Weber; Maria Bernathova; Muy-Kheng M Tea; Margaretha Rudas; Christian F Singer; Thomas H Helbich Journal: J Clin Oncol Date: 2015-02-23 Impact factor: 44.544
Authors: Christina M Dieli-Conwright; Joanne E Mortimer; E Todd Schroeder; Kerry Courneya; Wendy Demark-Wahnefried; Thomas A Buchanan; Debu Tripathy; Leslie Bernstein Journal: BMC Cancer Date: 2014-04-03 Impact factor: 4.430
Authors: Elías Cardoso-Peña; Alexandra E Soto Pina; Ángel Gómez Villanueva; Gerardo Emilio López Chavez; Pablo Ramírez Martínez; Humberto Ramírez Montoya; María Guadalupe Berumen Lechuga; Alejandra Donají Benitez Arciniega; María de Lourdes Alarcón Fortepiani; Roxana Valdés Ramos; José de Jesús Garduño García Journal: Int J Endocrinol Date: 2020-12-09 Impact factor: 3.257