Linical Korea Co., Ltd, Seoul, Republic of Korea.
National Cancer Center, National Cancer Control Institute, Goyang, Republic of Korea.
PLoS One. 2024 Oct 4;19(10):e0309061. doi: 10.1371/journal.pone.0309061. eCollection 2024.
Epidemiological studies frequently use indices of adiposity related to mortality. However, no studies have validated prediction equations for body composition in adult cancer survivors. We aimed to develop and cross-validate prediction equations for body fat mass (BFM), lean body mass (LBM), trunk fat mass (TFM), and appendicular lean mass (ALM) in adult cancer survivors using sociodemographic, anthropometric, and laboratory test data. This study included adult cancer survivors from the Korean National Health and Nutrition Examination Survey 2008-2011 with complete data on Dual-energy X-ray absorptiometry (DXA) measurements. A total of 310 participants were randomly divided into development and cross-validation groups (5:5 ratio). Age, height, weight, waist circumference, serum creatinine levels, and lifestyle factors were included as independent variables The predictive equations were developed using a multiple linear regression and their predictive performances were primarily evaluated with R2 and Concordance Correlation Coefficient (CCC). The initial equations, which included age, height, weight, and waist circumference, showed different predictive abilities based on sex for BFM (total: R2 = 0.810, standard error of estimate [SEE] = 3.072 kg, CCC = 0.897; men: R2 = 0.848, SEE = 2.217 kg CCC = 0.855; women: R2 = 0.791, SEE = 2.194 kg, CCC = 0.840), LBM (total: R2 = 0.736, SEE = 3.321 kg, CCC = 0.838; men: R2 = 0.703, SEE = 2.450 kg, CCC = 0.774; women: R2 = 0.854, SEE = 2.234 kg, CCC = 0.902), TFM (total: R2 = 0.758, SEE = 1.932 kg, CCC = 0.844; men: R2 = 0.650, SEE = 1.745 kg, CCC = 0.794; women: R2 = 0.852, SEE = 1.504 kg, CCC = 0.890), and ALM (total: R2 = 0.775, SEE = 1.726 kg, CCC = 0.876; men: R2 = 0.805, SEE = 1.320 kg, CCC = 0.817; women: R2 = 0.726, SEE = 1.198 kg, CCC = 0.802). When additional factors, such as creatinine, smoking, alcohol consumption, and physically inactive were included in the initial equations the predictive performance of the equations were generally improved. The prediction equations for body composition derived from this study suggest a potential application in epidemiological investigations on adult cancer survivors.
流行病学研究经常使用与死亡率相关的肥胖指数。然而，尚无研究验证过适用于成年癌症幸存者的身体成分预测方程。我们旨在使用社会人口统计学、人体测量学和实验室检测数据，为成年癌症幸存者开发和交叉验证身体脂肪量 (BFM)、瘦体重 (LBM)、躯干脂肪量 (TFM) 和四肢瘦体重 (ALM) 的预测方程。本研究纳入了 2008-2011 年韩国国家健康和营养检查调查中完整的双能 X 射线吸收法 (DXA) 测量数据的成年癌症幸存者。共有 310 名参与者被随机分为开发组和验证组（比例为 5:5）。年龄、身高、体重、腰围、血清肌酐水平和生活方式因素被纳入为自变量。使用多元线性回归建立预测方程，并主要使用 R2 和一致性相关系数 (CCC) 评估其预测性能。最初的方程包括年龄、身高、体重和腰围，根据性别显示出不同的 BFM（总体：R2=0.810，估计标准误差 [SEE]=3.072kg，CCC=0.897；男性：R2=0.848，SEE=2.217kg，CCC=0.855；女性：R2=0.791，SEE=2.194kg，CCC=0.840）、LBM（总体：R2=0.736，SEE=3.321kg，CCC=0.838；男性：R2=0.703，SEE=2.450kg，CCC=0.774；女性：R2=0.854，SEE=2.234kg，CCC=0.902）、TFM（总体：R2=0.758，SEE=1.932kg，CCC=0.844；男性：R2=0.650，SEE=1.745kg，CCC=0.794；女性：R2=0.852，SEE=1.504kg，CCC=0.890）和 ALM（总体：R2=0.775，SEE=1.726kg，CCC=0.876；男性：R2=0.805，SEE=1.320kg，CCC=0.817；女性：R2=0.726，SEE=1.198kg，CCC=0.802）的预测能力。当在初始方程中加入肌酐、吸烟、饮酒和不活跃等额外因素时，方程的预测性能通常会得到改善。本研究得出的身体成分预测方程表明，它们可能适用于对成年癌症幸存者的流行病学研究。
