Estimating fat-free mass in recreationally resistance-trained young men: Longitudinal and cross-sectional validation of different methods

被引:0
|
作者
Martinez-Ferran, Maria [1 ,2 ]
Berlanga, Luis A. [3 ,4 ]
Barcelo-Guido, Olga [1 ]
Matos-Duarte, Michelle [3 ]
Vicente-Campos, Davinia [3 ]
Jorge, Sandra Sanchez [3 ]
Romero-Morales, Carlos [1 ]
Casla-Barrio, Soraya [5 ,6 ]
Munguia-Izquierdo, Diego [7 ]
Pareja-Galeano, Helios [8 ]
机构
[1] Univ Europea Madrid, Fac Sports Sci, Madrid, Spain
[2] Univ Isabel I, Fac Hlth Sci, Fernan Gonzalez 76, Burgos 09003, Spain
[3] Univ Francisco Vitoria, Fac Hlth Sci, Madrid, Spain
[4] Ctr Estudios Univ Cardenal Spinola CEU, Dept Phys Act & Sport, Seville, Spain
[5] Univ Comillas, Fac Nursing, Madrid, Spain
[6] Tigers Running Club, Madrid, Spain
[7] Univ Pablo de Olavide, Phys Performance & Sports Res Ctr, Dept Sports & Comp Sci, Sect Phys Educ & Sports,Fac Sport Sci, Seville, Spain
[8] Univ Autonoma Madrid, Dept Phys Educ, Sport & Human Movement, Madrid, Spain
关键词
Lean mass; Strength training; Bioelectrical impedance; Anthropometry; Dual X-ray absorptiometry; X-RAY ABSORPTIOMETRY; LEAN BODY-WEIGHT; FIELD METHODS; ANTHROPOMETRIC ESTIMATION; PREDICTION EQUATIONS; SKINFOLD-THICKNESS; SPORTS-MEDICINE; DENSITY; NUTRITION; STATEMENT;
D O I
10.1016/j.nutres.2023.05.005
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
Several techniques exist to measure fat-free mass (FFM). Accordingly, this study is based on data from our recent trial comparing the sensitivity of the main field methods available with that of dual-energy X-ray absorptiometry (DXA) as reference and analyzing the cross-sectional accuracy of these field methods in recreationally resistance-trained males. We hypothesized that the use of these techniques would lead to varying estimates of FFM compared with DXA. Participants ( N = 23; 21.4 & PLUSMN; 3.3 years) completed a 10-week resistance training plus diet intervention designed to optimize hypertrophy. FFM was determined by bioelectrical impedance analysis (BIA), 23 anthropometric equations, and DXA. After the intervention, FFM increased significantly according to BIA and most anthropometric estimates, but this increase was not detected by 2 anthropometric equations or by DXA. Only 1 of these 2 equations showed significant correlation with DXA and no standardized or significant differences to this reference method, although it did display significant heteroscedas ticity. In our cross-sectional analysis, only 1 anthropometric equation gave rise to good accuracy as confirmed by DXA. Our findings indicate that the use of different techniques to assess FFM gains in response to a hypertrophic intervention yields different results. BIA with general embedded equations should not be used to monitor a young male adult's body composition. To monitor FFM over time, we would recommend the Dunne et al. equation (2) as the most sensitive field method, and to assess FFM cross-sectionally, equation (1) of these authors is the most accurate field method.& COPY; 2023 Elsevier Inc. All rights reserved.
引用
收藏
页码:38 / 47
页数:10
相关论文
共 50 条
  • [1] Association between whey protein, regional fat mass, and strength in resistance-trained men: a cross-sectional study
    Batista, Ana
    Monteiro, Cristina P.
    Borrego, Rute
    Matias, Catarina N.
    Teixeira, Filipe J.
    Valamatos, Maria J.
    Oliveira, Ana C.
    Reis, Joana F.
    Mendes, Lino
    Sardinha, Luis B.
    APPLIED PHYSIOLOGY NUTRITION AND METABOLISM, 2019, 44 (01) : 7 - 12
  • [2] The cross-sectional and longitudinal dependence of the resting metabolic rate on the fat-free mass
    Alpert, Seymour S.
    METABOLISM-CLINICAL AND EXPERIMENTAL, 2007, 56 (03): : 363 - 372
  • [3] Comparison of generalized and athletic bioimpedance-based predictive equations for estimating fat-free mass in resistance-trained exercisers
    Campa, Francesco
    Matias, Catarina
    Teixeira, Filipe
    Reis, Joana
    Valamatos, Maria
    Coratella, Giuseppe
    Monteiro, Cristina
    NUTRITION, 2022, 102
  • [4] Characterization Of Fat-free Mass Index And Body Fat Mass Index: Relationship To Strength Performance In Resistance-trained Females
    Pihoker, Alexis A.
    Trexler, Eric T.
    Peterjohn, Austin M.
    Nuckols, Gregory L.
    Blue, Malia N. M.
    Hirsch, Katie R.
    Anderson, Kara C.
    Smith-Ryan, Abbie E.
    MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2018, 50 (05): : 162 - 162
  • [5] Continuous versus Intermittent Dieting for Fat Loss and Fat-Free Mass Retention in Resistance-trained Adults: The ICECAP Trial
    Peos, Jackson J.
    Helms, Eric R.
    Fournier, Paul A.
    Ong, Julian
    Hall, Carly
    Krieger, James
    Sainsbury, Amanda
    MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2021, 53 (08): : 1685 - 1698
  • [6] Skipping breakfast is associated with lower fat-free mass in healthy young subjects: a cross-sectional study
    Yasuda, Jun
    Asako, Mai
    Arimitsu, Takuma
    Fujita, Satoshi
    NUTRITION RESEARCH, 2018, 60 : 26 - 32
  • [7] Longitudinal Changes in Muscle Cross-Sectional Area following Different Resistance Training Programs in Resistance Trained Men.
    Redd, Michael
    MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2016, 48 (05): : 953 - 953
  • [8] Estimating fat-free mass in elite youth male soccer players: cross-validation of different field methods and development of prediction equation
    Munguia-Izquierdo, Diego
    Suarez-Arrones, Luis
    Di Salvo, Valter
    Paredes-Hernandez, Victor
    Ara, Ignacio
    Mendez-Villanueva, Alberto
    JOURNAL OF SPORTS SCIENCES, 2019, 37 (11) : 1197 - 1204
  • [9] Validation of skinfold equations and alternative methods for the determination of fat-free mass in young athletes
    Jagim, Andrew R.
    Tinsley, Grant M.
    Merfeld, Brandon R.
    Ambrosius, Abby
    Khurelbaatar, Chinguun
    Dodge, Christopher
    Carpenter, Makenna
    Luedke, Joel
    Erickson, Jacob L.
    Fields, Jennifer B.
    Jones, Margaret T.
    FRONTIERS IN SPORTS AND ACTIVE LIVING, 2023, 5
  • [10] Agreement between fat-free mass from bioelectrical impedance analysis and dual-energy X-ray absorptiometry and their use in estimating resting metabolic rate in resistance-trained men
    Ribeiro, Alex S.
    Sofiati, Sandro L.
    Kassiano, Witalo
    Martinho, Diogo V.
    Nascimento, Matheus A.
    Avelar, Ademar
    Trindade, Michele C. C.
    Mayhew, Jerry L.
    Cyrino, Edilson S.
    JOURNAL OF THE INTERNATIONAL SOCIETY OF SPORTS NUTRITION, 2024, 21 (01)