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Ong JN, Ducker KJ, Furzer BJ, Dymock M, Landers GJ. Acute exercise affects dual-energy X-ray absorptiometry body composition estimates but not standardised ultrasound measurements of subcutaneous adipose tissue. Clin Physiol Funct Imaging 2023; 43:345-353. [PMID: 37191158 DOI: 10.1111/cpf.12832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2022] [Revised: 04/21/2023] [Accepted: 05/05/2023] [Indexed: 05/17/2023]
Abstract
Ultrasound has been demonstrated to be a highly accurate and reliable tool for measuring subcutaneous adipose tissue thickness and is robust against changes in hydration status or acute food or fluid intake. However, the effect of prior acute exercise is unexamined. This study examined the impact of an acute endurance exercise and resistance exercise session on standardised brightness-mode ultrasound measurements of subcutaneous adipose tissue thickness compared to skinfolds and dual-energy X-ray absorptiometry body composition estimates. In a randomised cross-over design, 30 active adults (24.2 ± 4.9 years) undertook physique assessment via standardised brightness-mode ultrasound, skinfolds and dual-energy X-ray absorptiometry before, immediately and 45 min after an acute endurance or resistance exercise session. The mean sum of eight subcutaneous adipose tissue thickness measured via standardised brightness-mode ultrasound increased (0.6 mm, p = 0.04) immediately postendurance exercise but was not meaningful when evaluated against the technical error of measurement of the investigator. A significant (p = 0.01) but not meaningful decrease in the sum of eight skinfolds occurred immediately (-1.1 ± 0.4 mm) and 45 min (-1.3 ± 0.4 mm) postresistance exercise. Comparatively, endurance exercise elicited a meaningful decrease of total mass (460 ± 30 g) and trunk lean mass (680 ± 90 g) dual-energy X-ray absorptiometry estimates. Findings from this study indicate standardised client presentation may be unnecessary when employing either standardised brightness-mode ultrasound or skinfolds for body composition assessment unlike dual-energy X-ray absorptiometry.
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Affiliation(s)
- Jun N Ong
- School of Human Sciences (Exercise and Sport Science), The University of Western Australia, Perth, Western Australia, Australia
| | - Kagan J Ducker
- School of Allied Health, Curtin University, Perth, Western Australia, Australia
| | - Bonnie J Furzer
- School of Human Sciences (Exercise and Sport Science), The University of Western Australia, Perth, Western Australia, Australia
| | - Michael Dymock
- Centre for Applied Statistics, The University of Western Australia, Perth, Western Australia, Australia
| | - Grant J Landers
- School of Human Sciences (Exercise and Sport Science), The University of Western Australia, Perth, Western Australia, Australia
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Rodriguez C, Florez CM, Prather J, Zaragoza J, Tinnin M, Brennan KL, Taylor L, Tinsley GM. Influence of Upper-Extremity and Lower-Extremity Resistance Exercise on Segmental Body Composition and Body Fluid Estimates. J Strength Cond Res 2022; 37:1042-1051. [PMID: 36730583 DOI: 10.1519/jsc.0000000000004367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
ABSTRACT Rodriguez, C, Florez, CM, Prather, J, Zaragoza, J, Tinnin, M, Brennan, KL, Taylor, L, and Tinsley, GM. Influence of upper-extremity and lower-extremity resistance exercise on segmental body composition and body fluid estimates. J Strength Cond Res XX(X): 000-000, 2022-The purpose of this analysis was to determine if acute, localized resistance exercise (RE) artificially influences total and regional estimates of body composition from dual-energy X-ray absorptiometry (DXA) and bioelectrical impedance analysis (BIA). Recreationally active male (n = 14) and female (n = 18) subjects completed 3 testing visits: rest (R), upper-extremity RE (U), and lower-extremity RE (L). Dual-energy X-ray absorptiometry scans were completed before exercise and 60 minutes after exercise. Bioelectrical impedance analysis was completed immediately before and after exercise and at 15, 30, and 60 minutes after exercise. Subjects were not allowed to intake fluid during the exercise session or during the postexercise assessment period. The effects of the acute RE session on DXA and BIA estimates were analyzed using linear mixed-effects models with a random intercept for subject. Condition by time interactions were observed for most BIA outcomes. Relative to the reference model (i.e., R condition at baseline), total body water and fat-free mass estimates were, on average, approximately 1 and approximately 1.2 kg higher, in the U condition. In contrast, lower-extremity RE exerted little or no impact on most BIA variables. Some DXA estimates exhibited time main effects, but the magnitude of changes was negligible. An acute bout of localized RE, particularly upper-extremity RE, can artificially influence BIA body fluid and composition estimates, whereas DXA may be robust to the acute biological error introduced by RE. Although body composition assessments should ideally be conducted under standardized conditions, DXA may be suitable in less standardized situations. In addition, BIA is differentially influenced by upper-extremity and lower-extremity resistance exercise.
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Affiliation(s)
- Christian Rodriguez
- Energy Balance & Body Composition Laboratory, Department of Kinesiology & Sport Management, Texas Tech University, Lubbock, Texas
| | - Christine M Florez
- Human Performance Laboratory, School of Exercise and Sport Science, University of Mary Hardin-Baylor, Belton, Texas
| | - Jessica Prather
- Human Performance Laboratory, School of Exercise and Sport Science, University of Mary Hardin-Baylor, Belton, Texas
| | - Javier Zaragoza
- Human Performance Laboratory, School of Kinesiology, Applied Health and Recreation, Oklahoma State University, Stillwater, Oklahoma; and
| | - Matthias Tinnin
- Human Performance Laboratory, School of Exercise and Sport Science, University of Mary Hardin-Baylor, Belton, Texas
| | - Kindyle L Brennan
- Doctor of Physical Therapy Program, School of Health Professions, University of Mary Hardin-Baylor, Belton, Texas
| | - Lem Taylor
- Human Performance Laboratory, School of Exercise and Sport Science, University of Mary Hardin-Baylor, Belton, Texas
| | - Grant M Tinsley
- Energy Balance & Body Composition Laboratory, Department of Kinesiology & Sport Management, Texas Tech University, Lubbock, Texas
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Hew-Butler T, Jurczyszyn H, Sabourin J, VanSumeren M, Smith-Hale V. Too Tall for the DXA Scan? Contributions of the Feet and Head to Overall Body Composition. J Clin Densitom 2022; 25:384-391. [PMID: 34969607 DOI: 10.1016/j.jocd.2021.11.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 10/05/2021] [Accepted: 11/08/2021] [Indexed: 11/25/2022]
Abstract
Accurate assessment of total body composition in tall (>1.96m) individuals using dual energy x-ray absorptiometry (DXA) scans is problematic due to current height restrictions of the scan table. The aim of this investigation was to quantify absolute and relative contributions of fat, bone and lean mass, of the feet and head regions, to whole-body composition DXA scan totals. Whole-body DXA scans were performed in collegiate athletes. Athlete DXA scans were included in data analyses if the entire body fit within the confines of scan table area. The feet region of interest (ROI) was delineated at the ankle joint mortise, marked superiorly by the inferior margin of the tibial plafond and encompassing all inferior anatomical structures. The head region was calculated by the DXA scan software. Both absolute (kg) and relative (feet/whole-body x 100 = feet mass %) contributions to body composition were calculated. Data presented as mean±SD. 132 National Collegiate Athletic Association (NCAA) athletes (85 female) underwent DXA scans which met the inclusion criteria. The feet region represented: 1.9±0.3kg (2.6±0.3%) of total mass; 0.4±0.3kg (2.6±0.5%) of fat mass; 1.3±0.3kg (2.5±0.3%) of lean mass; and 0.14±0.0kg (5.4±0.6%) of bone mineral content (BMC). The head region represented: 4.8±0.5kg (6.9±0.8%) of total mass; 1.2±0.2kg (8.2±3.0%) of fat mass; 3.2±0.5kg (6.1±0.9%) of lean mass; and 0.48±0.07kg (18.7±2.7%) of BMC. Significant negative relationships were found between head% versus whole-body BMC (r=-0.54;p < 0.0001), lean mass (r=-0.57;p<0.0001), and fat mass (r=-0.81;p<0.0001) and between feet% versus fat mass (r=-0.68;p<0.0001). A significant positive relationship was noted between feet% versus whole-body BMC (r=0.18;p=0.04) but not versus lean mass (r=0.15;p=0.09). Removing the feet from whole-body composition analyses reduces lean, fat and bone mass compartment totals by 3%-5%. Removing the head region reduces body composition compartments by 6%-19%, from whole-body DXA scan totals.
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Affiliation(s)
- Tamara Hew-Butler
- Division of Kinesiology, Health and Sport Studies, Wayne State University, Detroit, MI USA.
| | - Haley Jurczyszyn
- Division of Kinesiology, Health and Sport Studies, Wayne State University, Detroit, MI USA
| | - Jordan Sabourin
- Division of Kinesiology, Health and Sport Studies, Wayne State University, Detroit, MI USA
| | - Matthew VanSumeren
- Division of Kinesiology, Health and Sport Studies, Wayne State University, Detroit, MI USA
| | - Valerie Smith-Hale
- Division of Kinesiology, Health and Sport Studies, Wayne State University, Detroit, MI USA
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Tracking changes in body composition: comparison of methods and influence of pre-assessment standardisation. Br J Nutr 2022; 127:1656-1674. [PMID: 34325758 DOI: 10.1017/s0007114521002579] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
The present study reports the validity of multiple assessment methods for tracking changes in body composition over time and quantifies the influence of unstandardised pre-assessment procedures. Resistance-trained males underwent 6 weeks of structured resistance training alongside a hyperenergetic diet, with four total body composition evaluations. Pre-intervention, body composition was estimated in standardised (i.e. overnight fasted and rested) and unstandardised (i.e. no control over pre-assessment activities) conditions within a single day. The same assessments were repeated post-intervention, and body composition changes were estimated from all possible combinations of pre-intervention and post-intervention data. Assessment methods included dual-energy X-ray absorptiometry (DXA), air displacement plethysmography, three-dimensional optical imaging, single- and multi-frequency bioelectrical impedance analysis, bioimpedance spectroscopy and multi-component models. Data were analysed using equivalence testing, Bland-Altman analysis, Friedman tests and validity metrics. Most methods demonstrated meaningful errors when unstandardised conditions were present pre- and/or post-intervention, resulting in blunted or exaggerated changes relative to true body composition changes. However, some methods - particularly DXA and select digital anthropometry techniques - were more robust to a lack of standardisation. In standardised conditions, methods exhibiting the highest overall agreement with the four-component model were other multi-component models, select bioimpedance technologies, DXA and select digital anthropometry techniques. Although specific methods varied, the present study broadly demonstrates the importance of controlling and documenting standardisation procedures prior to body composition assessments across distinct assessment technologies, particularly for longitudinal investigations. Additionally, there are meaningful differences in the ability of common methods to track longitudinal body composition changes.
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Zabriskie HA, Dobrosielski DA, Leppert KM, Droege AJ, Knuth ND, Lisman PJ. Positional Analysis of Body Composition Using Dual-Energy X-Ray Absorptiometry in National Collegiate Athletic Association Division I Football and Men's Lacrosse. J Strength Cond Res 2020; 36:1699-1707. [PMID: 32501891 DOI: 10.1519/jsc.0000000000003669] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Zabriskie, HA, Dobrosielski, DA, Leppert, KM, Droege, AJ, Knuth, ND, and Lisman, PJ. Positional analysis of body composition using dual-energy X-ray absorptiometry in National Collegiate Athletic Association Division I football and men's lacrosse. J Strength Cond Res XX(X): 000-000, 2020-Despite the widespread use of dual-energy X-ray absorptiometry (DXA), few studies have examined differences in body composition between positions within sports and none have reported DXA-derived body composition reference values for men's lacrosse. The purpose of this study was to examine differences in measures of total and regional body composition and bone mineral density (BMD) using DXA across sport positions in a large cohort of National Collegiate Athletic Association Division I male lacrosse and football players. A total of 294 male athletes (football, n = 196; lacrosse, n = 98) underwent DXA. One-way analysis of variance or Kruskal-Wallis tests were used to examine whether body composition variables differed by sports position. In football, position was a significant determinant for every compositional variable in football athletes (all, p < 0.05; effect size range = 0.24-0.79). Offensive linemen had the highest total body fat percentage (30.1 ± 2.9%), followed by fullbacks (26.7 ± 3.3%) and defensive linemen (24.6 ± 5.7%); wide receivers had the lowest (14.5 ± 2.1%). For total body BMD, defensive linemen had the highest (1.70 ± 0.09 g·cm), followed by linebackers (1.67 ± 0.09 g·cm) and offensive linemen (1.65 ± 0.09 g·cm); kickers had the lowest (1.45 ± 0.11 g·cm) BMD. In lacrosse, no differences were found between positions for any total or regional body composition and BMD measure (all, p > 0.05). Our data confirm that total and regional measures of body composition and BMD vary across positions in football but not in men's lacrosse. Unlike football, similarities in body composition among lacrosse players may indicate that the uniformity of training demands or preferred player attributes in team selection outweigh the unique positional demands in gameplay.
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Affiliation(s)
- Hannah A Zabriskie
- Department of Kinesiology, Towson University, Towson, Maryland.,Towson Research Academy for Collaborative Sport Science (TRACS), Towson University, Towson, Maryland
| | - Devon A Dobrosielski
- Department of Kinesiology, Towson University, Towson, Maryland.,Towson Research Academy for Collaborative Sport Science (TRACS), Towson University, Towson, Maryland
| | - Kyle M Leppert
- Department of Kinesiology, Towson University, Towson, Maryland.,Towson Research Academy for Collaborative Sport Science (TRACS), Towson University, Towson, Maryland
| | - Aaron J Droege
- Sport Performance, Department of Athletics, Towson University, Towson, Maryland
| | - Nicolas D Knuth
- Department of Kinesiology, Towson University, Towson, Maryland.,Towson Research Academy for Collaborative Sport Science (TRACS), Towson University, Towson, Maryland
| | - Peter J Lisman
- Department of Kinesiology, Towson University, Towson, Maryland.,Towson Research Academy for Collaborative Sport Science (TRACS), Towson University, Towson, Maryland
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