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Lai YK, Ho CY, Huang AC, Lu HK, Hsieh KC. Estimation equation of limb lean soft tissue mass in Asian athletes using bioelectrical impedance analysis. PLoS One 2024; 19:e0300911. [PMID: 39196957 PMCID: PMC11356429 DOI: 10.1371/journal.pone.0300911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2024] [Accepted: 06/25/2024] [Indexed: 08/30/2024] Open
Abstract
BACKGROUND The lean soft tissue mass (LSTM) of the limbs is approximately 63% of total skeletal muscle mass. For athletes, measurement of limb LSTM is the basis for rapid estimation of skeletal muscle mass. This study aimed to establish the estimation equation of LSTM in Asian athletes using bioelectrical impedance analysis (BIA). METHODS A total of 198 athletes (121 males, 77 females; mean age 22.04 ± 5.57 years) from different sports in Taiwan were enrolled. A modeling group (MG) of 2/3 (n = 132) of subjects and a validation group (VG) of 1/3 (n = 68) were randomly assigned. Using the InBody S-10, resistance and reactance were measured at 50 kHz from the right palm to the right sole while the participant was in the supine position. Predictor variables were height (h), weight (W), age, Sex, Xc, resistance index (RI; RI = h2 / R). LSTM of arms and legs measured by dual-energy X-ray absorptiometry (DXA) was the response variable. Multivariate stepwise regression analysis method was used to establish BIA estimation equations as ArmsLSTMBIA-Asian and LegsLSTMBIA-Asian. Estimation equations performance was confirmed by cross-validation. RESULTS Estimation equation "ArmsLSTMBIA-Asian = 0.096 h2/R- 1.132 Sex + 0.030 Weight + 0.022 Xc- 0.022 h + 0.905, r2 = 0.855, SEE = 0.757 kg, n = 132" and "LegsLSTMBIA Asian = 0.197h2/R" + 0.120 h- 1.242 Sex + 0.055 Weight- 0.052 Age + 0.033 Xc -16.136, r2 = 0.916, SEE = 1.431 kg, n = 132" were obtained from MG. Using DXA measurement results of VG for correlation analysis and Limit of Agreement (LOA) of Bland-Altman Plot, ArmsLST is 0.924, -1.53 to 1.43 kg, and LegsLST is 0.957, -2.68 to 2.90 kg. CONCLUSION The established single-frequency BIA hand-to-foot (whole body) estimation equation quickly and accurately estimates LSTM of the arms and legs of Asian athletes.
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Affiliation(s)
- Yeong-Kang Lai
- Department of Electrical Engineering, National Chung Hsing University, Taichung City, Taiwan
| | - Chu-Ying Ho
- Department of Electrical Engineering, National Chung Hsing University, Taichung City, Taiwan
| | - Ai-Chun Huang
- Department of Oral Hygiene, Tzu-Hui Institute of Technology, Nanzhou Township, Pingtung County, Taiwan
| | - Hsueh-Kuan Lu
- General Education Center, National Taiwan University of Sport, Taichung City, Taiwan
| | - Kuen-Chang Hsieh
- Big Data Center, National Chung Hsing University, Taichung City, Taiwan
- Department of Research & Development, StarBIA Meditek Co., Ltd., Taichung City, Taiwan
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Wilson LJ, Curtis C. Running Event, Age, and Competitive Level as Predictors of Dual-Energy X-Ray Absorptiometry-Derived Body Composition and Bone Health Markers in Female Runners. J Strength Cond Res 2024; 38:e366-e372. [PMID: 38595277 DOI: 10.1519/jsc.0000000000004773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/11/2024]
Abstract
ABSTRACT Wilson, LJ and Curtis, C. Running event, age, and competitive level as predictors of dual-energy X-ray absorptiometry-derived body composition and bone health markers in female runners. J Strength Cond Res 38(7): e366-e372, 2024-The aim of this study was to assess the impact of running discipline, competitive level (COMP), and age on body composition measures in female athletes. A total of n = 51 female runners (age: 30.9 ± 5.7 years, stature: 166.7 ± 5.7 cm, and body mass (BM): 57.1 ± 8.2 kg) completed a full-body dual-energy x-ray absorptiometry (DXA) scan in a cross-sectional design. One-way ANOVA or Kruskal-Wallis was used to identify differences in DXA measures and independent variables. Stepwise regression determined the contribution of independent variables on DXA measures. Body fat percentage (BF%) and fat mass (FM) differed based on COMP (BF%: H (2) = 17.451; FM: H (2) = 17.406, both p ≤ 0.0001). Competitive level modestly predicted BF% and FM (BF%: R2adj = 0.316, F (1,50) = 22.660; FM: R2adj = 0.300, F (1,50) = 21.029, both p ≤ 0.0001). Bone mineral density (BMD) and BMD Z-score (BMD Z ) did not differ between age, running discipline, or COMP (age: BMD: F (2,50) = 2.825, BMD Z : F (2,50) = 2.215; running discipline: BMD: F (3,50) = 1.145, BMD Z : F (3,50) = 1.474; COMP: BMD: F (2,50) = 0.074, BMD Z : F (2,50) = 1.297, all p ≤ 0.05). Age and running discipline modestly predicted BMD and BMD Z (BMD: R2adj = 0.179, F (1,50) = 5.264; BMD Z : R2adj = 0.173, F (1,50) = 4.545, both p ≤ 0.05). These findings indicate COMP may be a predictor of BF% and FM. Age and running discipline appear predictors of bone health markers. Such findings may enable medical and sport science practitioners to tailor interventions relating to realization of training adaptations, performance, and health.
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Affiliation(s)
- Laura Jane Wilson
- London Sport Institute, Middlesex University, London, United Kingdom; and
| | - Christopher Curtis
- Department of Nutrition, Food Science and Physiology, School of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain
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Summer LC, Cheng R, Moran JT, Lee M, Belanger AJ, Taylor WL, Gardner EC. Changes in Body Composition and Athletic Performance in National Collegiate Athletic Association Division I Female Field Hockey Athletes Throughout a Competitive Season. J Strength Cond Res 2024; 38:146-152. [PMID: 37815263 DOI: 10.1519/jsc.0000000000004591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/11/2023]
Abstract
ABSTRACT Summer, LC, Cheng, R, Moran, JT, Lee, M, Belanger, AJ, TaylorIV, WL, and Gardner, EC. Changes in body composition and athletic performance in National Collegiate Athletic Association Division I female field hockey athletes throughout a competitive season. J Strength Cond Res 38(1): 146-152, 2024-The purposes of this study were (a) to analyze the changes in total and regional body composition measurements in a National Collegiate Athletic Association (NCAA) Division I female field hockey team throughout a 17-game competitive season using dual X-ray absorptiometry (DXA); (b) to examine improvements, if any, in athletic performance measures after a season; and (c) to report on the relationship between these body composition changes and changes in athletic performance. Preseason and postseason dual-energy DXA and performance data from the 2019-2020 season were retrospectively identified for 20 field players (forwards, midfielders, and defenders). Body composition data included total and regional fat mass, lean mass, and body fat percentage, whereas athletic performance measures included the vertical jump, 10-yard dash, and pro-agility (5-10-5) shuttle run. All variables were quantitative and analyzed using paired t -tests or its nonparametric equivalent and an alpha level of p < 0.05 was used to determine significance. After a competitive season, athletes had significant decreases in fat mass and increases in lean mass in their arms, legs, trunks, gynoids, and total body measurements. Android fat mass and body fat percentage also decreased. Athletes performed significantly better on the pro-agility shuttle run at the end of the season, but no significant differences were observed in other performance metrics. Moderate correlations were observed between changes in body composition (total fat mass and total lean mass) and changes in athletic performance. Our study provides a novel, longitudinal assessment of body composition and athletic performance for elite female field hockey athletes that will help trainers and coaches better understand how these variables change throughout a season and allow them to better prepare their players for competitive success.
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Affiliation(s)
- Luanna C Summer
- Department of Orthopaedics and Rehabilitation, Yale School of Medicine, New Haven, Connecticut
| | - Ryan Cheng
- Department of Orthopaedics and Rehabilitation, Yale School of Medicine, New Haven, Connecticut
- Hospital for Special Surgery, New York, New York
| | - Jay T Moran
- Department of Orthopaedics and Rehabilitation, Yale School of Medicine, New Haven, Connecticut
- Yale School of Medicine, New Haven, Connecticut
| | - Michael Lee
- Medical College of Wisconsin, Milwaukee, Wisconsin; and
| | | | | | - Elizabeth C Gardner
- Department of Orthopaedics and Rehabilitation, Yale School of Medicine, New Haven, Connecticut
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Oliveira TP, Espada MC, Massini DA, Robalo RAM, Almeida TAF, Hernández-Beltrán V, Gamonales JM, Castro EA, Pessôa Filho DM. Effects of Exercise and Sports Intervention and the Involvement Level on the Mineral Health of Different Bone Sites in the Leg, Hip, and Spine: A Systematic Review and Meta-Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:6537. [PMID: 37569078 PMCID: PMC10419061 DOI: 10.3390/ijerph20156537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 07/11/2023] [Accepted: 07/14/2023] [Indexed: 08/13/2023]
Abstract
The current study analysed whether the osteogenic stimuli of exercises and sports have an independent effect on bone mineral density (BMD). Studies with a design having two different cohorts were searched and selected to distinguish the effect due to long-term involvement (i.e., athletes vs. non-active young with good bone health) and due to the planning of intervention (i.e., pre- vs. post-training) with exercises and sports. Moreover, only studies investigating the bone sites with a body-weight support function (i.e., lower limb, hip, and spine regions) were reviewed, since the osteogenic effects have incongruous results. A meta-analysis was performed following the recommendations of PRISMA. Heterogeneity (I2) was determined by combining Cochran's Q test with the Higgins test, with a significance level of α = 0.05. The studies reporting the effect of involvement in exercise and sports showed high heterogeneity for the lower limb, total hip, and spine (I2 = 90.200%, 93.334%, and 95.168%, respectively, with p < 0.01) and the effect size on sports modalities (Hedge's g = 1.529, 1.652, and 0.417, respectively, with p < 0.05) ranging from moderate to high. In turn, the studies reporting the effect of the intervention planning showed that there was no heterogeneity for the lower limb (I2 = 0.000%, p = 0.999) and spine (I2 = 77.863%, p = 0.000); however, for the hip, it was moderate (I2 = 49.432%, p = 0.054), with a low effect between the pre- and post-training moments presented only for the hip and spine (Hedge's g = 0.313 and 0.353, respectively, with p < 0.05). The current analysis supported the effect of involvement in exercise and sports by evidencing the effect of either weight-bearing or non-weight-bearing movements on BMD at the femoral, pelvic, and lumbar bones sites of the athletes when comparing to non-athletes or non-active peers with healthy bones. Moreover, the effect of different exercise and sports interventions highlighted the alterations in the BMD in the spine bone sites, mainly with long-term protocols (~12 months) planned with a stimulus with high muscle tension. Therefore, exercise and sport (mainly systematic long-term practice) have the potential to increase the BMD of bones with body-weight support beyond the healthy values reached during life phases of youth and adulthood.
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Affiliation(s)
- Thiago P. Oliveira
- Graduate Programme in Human Development and Technology, São Paulo State University (UNESP), Rio Claro 13506-900, Brazil; (T.P.O.); (D.A.M.); (T.A.F.A.); (E.A.C.)
| | - Mário C. Espada
- Instituto Politécnico de Setúbal, Escola Superior de Educação, 2914-504 Setúbal, Portugal; (M.C.E.); (R.A.M.R.)
- Life Quality Research Centre (LQRC-CIEQV, Leiria), Complexo Andaluz, Apartado, 2040-413 Rio Maior, Portugal
- CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, 1499-002 Lisboa, Portugal
| | - Danilo A. Massini
- Graduate Programme in Human Development and Technology, São Paulo State University (UNESP), Rio Claro 13506-900, Brazil; (T.P.O.); (D.A.M.); (T.A.F.A.); (E.A.C.)
- Department of Physical Education, School of Sciences (FC), São Paulo State University (UNESP), Bauru 17033-360, Brazil
| | - Ricardo A. M. Robalo
- Instituto Politécnico de Setúbal, Escola Superior de Educação, 2914-504 Setúbal, Portugal; (M.C.E.); (R.A.M.R.)
- Faculdade de Motricidade Humana, Universidade de Lisboa, 1499-002 Lisboa, Portugal
| | - Tiago A. F. Almeida
- Graduate Programme in Human Development and Technology, São Paulo State University (UNESP), Rio Claro 13506-900, Brazil; (T.P.O.); (D.A.M.); (T.A.F.A.); (E.A.C.)
- Department of Physical Education, School of Sciences (FC), São Paulo State University (UNESP), Bauru 17033-360, Brazil
| | - Víctor Hernández-Beltrán
- Research Group in Optimization of Training and Performance Sports, Faculty of Sport Science, University of Extremadura, 10005 Cáceres, Spain; (V.H.-B.); (J.M.G.)
| | - José M. Gamonales
- Research Group in Optimization of Training and Performance Sports, Faculty of Sport Science, University of Extremadura, 10005 Cáceres, Spain; (V.H.-B.); (J.M.G.)
- Faculty of Health Sciences, University of Francisco de Vitoria, 28223 Madrid, Spain
| | - Eliane A. Castro
- Graduate Programme in Human Development and Technology, São Paulo State University (UNESP), Rio Claro 13506-900, Brazil; (T.P.O.); (D.A.M.); (T.A.F.A.); (E.A.C.)
- LFE Research Group, Universidad Politécnica de Madrid (UPM), 28040 Madrid, Spain
| | - Dalton M. Pessôa Filho
- Graduate Programme in Human Development and Technology, São Paulo State University (UNESP), Rio Claro 13506-900, Brazil; (T.P.O.); (D.A.M.); (T.A.F.A.); (E.A.C.)
- Department of Physical Education, School of Sciences (FC), São Paulo State University (UNESP), Bauru 17033-360, Brazil
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Brimacomb OE, Martinez MP, McCormack WP, Almstedt HC. A 2-Year Longitudinal Study of Bone Mineral Density in Collegiate Distance Runners. J Strength Cond Res 2023:00124278-990000000-00204. [PMID: 36727720 DOI: 10.1519/jsc.0000000000004449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
ABSTRACT Brimacomb, OE, Martinez, MP, McCormack, WP, and Almstedt, HC. A 2-year longitudinal study of bone mineral density in collegiate distance runners. J Strength Cond Res XX(X): 000-000, 2022-The purpose of this investigation was to examine changes in bone mineral density (BMD) of male and female collegiate distance runners over 2 years. Bone mineral density of 29 collegiate distance runners (16 men and 13 women) were measured 5 times over 24 months using dual-energy x-ray absorptiometry (DXA) at the anterior-posterior (AP) and lateral (LAT) spine, femoral neck (FN), total hip (TH), whole body (WB), and ultradistal (UD) forearm. Repeated-measures multivariate analysis of covariance, with bone-free lean mass (BFLM) as covariate, was used to compare mean BMD values. Adjusted for BFLM, there were no significant differences (p > 0.05) in BMD at any site between sexes. There were no significant differences at the AP or LAT spine, FN, or WB between visit 1 and 5 for either sex. There was a significant increase in BMD (p = 0.044) at the UD forearm over 2 years in males. However, 56% of the men (n = 9) had a Z-score < -1.0 at the UD forearm. Seven of 11 women had Z-scores < -1.0 at the LAT spine and 4 of 13 had Z-scores < -1.0 at the AP spine. There were no significant changes in BMD at any site over the 2-year time frame, except a significant increase in BMD at the nondominant forearm in men. The spine appears to be an area of concern for women in this study when examining Z-score results. Coaches and medical staff need to continually educate collegiate endurance athletes about the importance of achieving and maintaining BMD through their college years.
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Affiliation(s)
- Olivia E Brimacomb
- Department of Health and Human Sciences, Loyola Marymount University, Frank R. Seaver College of Science and Engineering, Los Angeles, California
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Massini DA, de Souza Martins ND, de Oliveira TP, Macedo AG, Castro EA, Almeida TAF, Santos FJ, Espada MC, Pessôa Filho DM. The effect of the exercise environment and the level of involvement on bone mineral health. J Bone Miner Metab 2023; 41:113-123. [PMID: 36422677 DOI: 10.1007/s00774-022-01387-7] [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: 07/13/2022] [Accepted: 10/31/2022] [Indexed: 11/25/2022]
Abstract
INTRODUCTION This study aimed to compare athletes practicing exercise in different environments with non-active young and elderly men and women regarding bone mineral density (BMD), hypothesizing that BMD values differ between athletes according to the environment of exercise practice, but those training in a low-gravitational environment have no different stimuli to BMD increasing if compared with healthy peers experiencing reduced exercise involvement, whatever the age group and sex. MATERIALS AND METHODS 104 participants of both sexes were selected according to the environment of exercise practice [swimmers (N = 26) and judo fighters (N = 26)], and exercise level of involvement [non-active young (N = 26) and older adults (N = 26)]. Dual-energy X-ray absorptiometry provided BMD, lean mass, and fat mass (FM) for the whole body (WB), upper (UL), and lower limbs (LL). RESULTS For the BMD in WB, UL and LL no effects of group and sex were observed (p > 0.05). Post-hoc analyses detected higher values of BMD in UL for female swimmers compared to non-active older adults (p < 0.05), while judo fighters showed higher BMD in WB, UL, and LL than other participants whatever the sex (p < 0.01). Lower FM was observed for WB, UL, and LL when swimmers and judo fighters were compared to non-active young and older female peers (p < 0.01). CONCLUSION The findings emphasized that BMD stimuli with swimming are reduced when compared to judo, and despite the stimuli in swimming is not distinguishable from that affecting BMD in WB, UL and LL of non-active young, it is effective in differing BMD in UL among non-active older for women.
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Affiliation(s)
- Danilo A Massini
- Graduate Programme in Human Development and Technology, São Paulo State University (UNESP), Rio Claro, 13506-900, Brazil
| | - Nilson D de Souza Martins
- Graduate Programme in Human Development and Technology, São Paulo State University (UNESP), Rio Claro, 13506-900, Brazil
- University Centre of São Paulo State, UNICEP, Rio Claro, São Paulo, 13500-200, Brazil
| | - Thiago P de Oliveira
- Graduate Programme in Human Development and Technology, São Paulo State University (UNESP), Rio Claro, 13506-900, Brazil
| | - Anderson G Macedo
- Graduate Programme in Human Development and Technology, São Paulo State University (UNESP), Rio Claro, 13506-900, Brazil
| | - Eliane A Castro
- Graduate Programme in Human Development and Technology, São Paulo State University (UNESP), Rio Claro, 13506-900, Brazil
- Department of Physical Education, São Paulo State University (UNESP), Bauru, 17033-360, Brazil
- LFE Research Group, Universidad Politécnica de Madrid (UPM), Madrid, Spain
| | - Tiago A F Almeida
- Graduate Programme in Human Development and Technology, São Paulo State University (UNESP), Rio Claro, 13506-900, Brazil
- Department of Physical Education, São Paulo State University (UNESP), Bauru, 17033-360, Brazil
| | - Fernando J Santos
- School of Education, Polytechnic Institute of Setúbal, 2914-504, Setúbal, Portugal
- Life Quality Research Centre, Complexo Andaluz, Apartado, 2040-413, Rio Maior, Portugal
| | - Mário C Espada
- School of Education, Polytechnic Institute of Setúbal, 2914-504, Setúbal, Portugal
- Life Quality Research Centre, Complexo Andaluz, Apartado, 2040-413, Rio Maior, Portugal
| | - Dalton M Pessôa Filho
- Graduate Programme in Human Development and Technology, São Paulo State University (UNESP), Rio Claro, 13506-900, Brazil.
- Department of Physical Education, São Paulo State University (UNESP), Bauru, 17033-360, Brazil.
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Yu A, Cho HC, Chen Y, Chen X, Wei J, Feng Y. Teaching Platform for Physical Training of Track and Field Events in Colleges and Universities Based on Data Mining Technology. Appl Bionics Biomech 2022; 2022:3344972. [PMID: 35419086 PMCID: PMC9001121 DOI: 10.1155/2022/3344972] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 01/24/2022] [Accepted: 03/16/2022] [Indexed: 11/25/2022] Open
Abstract
To a large extent, track and field sports require strong physical fitness of athletes, and athletes' physical fitness determines their competition results. With the improvement of people's living standards, athletes can get better nutritional supplements, but competition in track events has gradually become fierce, and physical fitness is extremely important for athletes. Physical training can improve athletes' endurance, sports coordination, and sensitivity, but coaches should arrange the training intensity reasonably, not exceeding the athlete's tolerance, to avoid problems such as overloading training causing athletes to be injured and sports age shortened. Traditional track and field training methods are no longer suitable for the physical development of modern athletes. This paper mainly studies the college track and field sports training teaching platform based on data mining technology. By using data mining technology, this paper constructs a track and field training platform in colleges and universities. Therefore, this paper designs a teaching platform for physical training in track and field events and puts the teaching platform into training teaching. It uses data mining technology to collect athletes' sports characteristics and analyze athletes. The physical parameters and movement norms of the people develop a personalized training program for them.
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Affiliation(s)
- Ao Yu
- College of Physical Education, Woosuk University, Jeonju, 55338 Jeollabuk-do, Republic of Korea
| | - Hyun Choul Cho
- College of Physical Education, Woosuk University, Jeonju, 55338 Jeollabuk-do, Republic of Korea
| | - Yujue Chen
- Csollege of Physical Education, Qinghai Normal University, Xining, 810009 Qinghai, China
| | - Xi Chen
- College of Physical Education, Taiyuan University of Technology, Taiyuan, 030024 Shanxi Province, China
| | - Jie Wei
- Electronic Information Science and Technology, Jiangsu Ocean University, 222005 Lianyungang, Jiangsu, China
| | - Yufang Feng
- Computer Graphics Major, Shandong University of Technology, 255049 Shandong, China
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Carbuhn AF, Yu D, Magee LM, McCulloch PC, Lambert BS. Anthropometric Factors Associated With Bone Stress Injuries in Collegiate Distance Runners: New Risk Metrics and Screening Tools? Orthop J Sports Med 2022; 10:23259671211070308. [PMID: 35178462 PMCID: PMC8844446 DOI: 10.1177/23259671211070308] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Accepted: 10/04/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Lower limb bone stress injury (BSI) of the pelvis, femur, and tibia is prevalent in collegiate track and field distance runners. Bone mineral density (BMD), body composition (BComp), and anthropometric parameters before initial collegiate injury have not been compared between runners with BSI and their noninjured counterparts. PURPOSE To characterize bone health in relation to BComp and anthropometric measurements from total-body dual x-ray absorptiometry (DXA) scans in collegiate male and female distance runners before BSI and develop BMD prediction models. STUDY DESIGN Case-control study; Level of evidence, 3. METHODS Distance runners (N = 79) from a single university track and field team were retrospectively enrolled into this study. The runners completed a DXA scan during the fall season (August-November) and participated in sport activities before the scan. Three months after scanning, electronic medical records were reviewed for the occurrence of BSI. An independent-sample t test was used to compare BMD (total and regional [spine, pelvis, and legs]), BComp (% body fat, fat mass, and lean mass), and anthropometric measurements (shoulder width and leg, arm, and trunk length) between runners with versus without BSI (included subgroup analysis by sex). Multiple linear regression with stepwise removal was used to determine variables most predictive of BMD. RESULTS Of the 79 enrolled participants (42 male, 37 female), 18 runners (22.8%; 11 female, 7 male) sustained a lower limb BSI. Compared with the noninjured group, injured runners had lower total and regional BMD (P < .001 for all) and shorter leg and arm lengths (P < .05 for both), whereas injured male runners had lower fat mass and injured female runners had lower lean mass in the legs (P < .05 for both). Injured runners' age-matched total BMD Z score (-0.1 ± 0.6) was considered clinically normal. BComp and anthropometric measures were predictive of total and regional BMD (P < .05; R 2 = 0.64-0.80; percentage error = 3.8%-4.8%). CONCLUSION The DXA scans of injured runners prior to incidence indicated lower BMD compared with noninjured runners. Shorter limb lengths, lower fat mass (male), and lower leg lean mass (female) may also be indicative of risk. Certain BComp and anthropometric measures were predictive of BMD.
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Affiliation(s)
- Aaron F. Carbuhn
- Department of Dietetics and Nutrition, University of Kansas Medical
Center, Kansas City, Kansas, USA
| | - Daniel Yu
- Department of Dietetics and Nutrition, University of Kansas Medical
Center, Kansas City, Kansas, USA
- Kansas Team Health, Kansas Athletics Inc, Lawrence, Kansas,
USA
| | | | - Patrick C. McCulloch
- Department of Orthopedics and Sports Medicine, Houston Methodist
Hospital, Houston, Texas, USA
| | - Bradley S. Lambert
- Department of Orthopedics and Sports Medicine, Houston Methodist
Hospital, Houston, Texas, USA
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Czeck MA, Roelofs EJ, Dietz C, Bosch TA, Dengel DR. Body Composition and On-Ice Skate Times for National Collegiate Athletic Association Division I Collegiate Male and Female Ice Hockey Athletes. J Strength Cond Res 2022; 36:187-192. [PMID: 34941612 DOI: 10.1519/jsc.0000000000004175] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
ABSTRACT Czeck, MA, Roelofs, EJ, Dietz, C, Bosch, TA, and Dengel, DR. Body composition and on-ice skate times for NCAA Division I collegiate male and female ice hockey athletes. J Strength Cond Res 36(1): 187-192, 2022-This study's purpose was to explore positional differences for an on-ice timed skate test and its relationship to body composition. Male (n = 15) and female (n = 18) collegiate hockey players participated in this study (total n = 33). Each player was categorized by position of forward or defensemen. Dual x-ray absorptiometry assessed total body composition variables of lean, fat, and bone mass as well as regional measures of lean mass, fat mass, and visceral adipose tissue. Total time and section times were determined for the on-ice skating test through a gated automatic timing system at 9, 18, 24, 42, 48, 66, 82, 132, and 148 m. Analysis of variance and Tukey's honest significance difference assessed on-ice skate time differences between positions (p ≤ 0.05). Correlations between body composition variables and skate times were determined for change of direction, skating time, linear skate time, and total skate time. There were no significant differences between positions for skate times (p > 0.05). Body fat percent (p = 0.007; r = 0.55), total fat mass (p = 0.027; r = 0.46), and leg fat mass (p = 0.019; 0.49) were significantly correlated with total skate time in men, whereas only body fat percent was significantly correlated with change of direction (p = 0.022; r = 0.54) and total skate times (p = 0.016; r = 0.56) in women. The total upper-body mass to leg lean mass ratio was significantly correlated with change of direction (p = 0.036; r = 0.50) in women. In conclusion, the results from this study suggest no differences between on-ice skating times between forwards and defensemen. However, body fat percentage was correlated with on-ice skate times in male and female collegiate hockey players.
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Affiliation(s)
- Madeline A Czeck
- School of Kinesiology, University of Minnesota, Minneapolis, Minnesota
| | - Erica J Roelofs
- School of Kinesiology, University of Minnesota, Minneapolis, Minnesota
| | - Calvin Dietz
- Athletic Department, University of Minnesota, Minneapolis, Minnesota; and
| | - Tyler A Bosch
- Performance & Data Analytics, Red Bull Athlete Performance Center, Santa Monica, California
| | - Donald R Dengel
- School of Kinesiology, University of Minnesota, Minneapolis, Minnesota
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Alves Junior CAS, Moraes MS, Souza CSD, Costa G, Silva DAS. BODY COMPOSITION AMONG UNIVERSITY FEMALE ATHLETES OF TEAM SPORTS. REV BRAS MED ESPORTE 2021. [DOI: 10.1590/1517-8692202127022020_0046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
ABSTRACT Introduction: The assessment of body composition in female athletes of different sports is important for health monitoring. Objective: To compare body composition in university athletes of different team sports (indoor soccer, flag football and volleyball). Methods: A cross-sectional study carried out with 45 female athletes, aged 18 to 35 years (22.8 ± 3.55). The dependent variables were body fat mass (FM) and fat-free mass (FFM) measured by air displacement plethysmography. Bone mineral content, adjusted for height (BMC/height) and bone mineral density (BMD), were measured by dual energy X-ray absorptiometry. The independent variable was sport [flag football (n = 12); indoor soccer (n = 20); volleyball (n = 13)] and the covariates were age (complete years), training volume (minutes per week) and length of time playing the sport (complete years). Analysis of covariance was used. Results: Adjusting the model for covariates, volleyball athletes (19.27 kg ± 2.20) presented higher FM values compared to the flag football (16.00 kg ± 1.70) and indoor soccer players (12.20 kg ± 1.30). There was no significant difference in FFM, BMC/height and total BMD between sports, even after adjusting for covariates. Conclusion: Volleyball athletes presented higher FM compared to flag football and indoor soccer athletes. There were no differences in FFM, BMC/height and BMD among the players of the different team sports. This study can help coaches and other sports professionals to prevent injuries to athletes in sports such as higher FM (volleyball), or to prevent diseases such as menstrual irregularities, which are common in athletes who may have low levels of body fat (indoor soccer players), this being one of the risk factors for the female athlete triad (eating disorders, menstrual irregularities and low BMD). Level of evidence III; Retrospective comparative study .
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Abstract
The body composition phenotype of an athlete displays the complex interaction among genotype, physiological and metabolic demands of a sport, diet, and physical training. Observational studies dominate the literature and describe the sport-specific physique characteristics (size, shape, and composition) of adult athletes by gender and levels of competition. Limited data reveal how body composition measurements can benefit an athlete. Thus, the objective is to identify purposeful measurements of body composition, notably fat and lean muscle masses, and determine their impact on the health and performance of athletes. Areas of interest include relationships among total and regional body composition measurements, muscle function, sport-specific performance, risk of injury, return to sport after injury, and identification of activity-induced fluid shifts. Discussion includes the application of specific uses of dual X-ray absorptiometry and bioelectrical impedance including an emphasis on the need to minimize measurement errors and standardize protocols, and highlights opportunities for future research. This focus on functional body composition can benefit the health and optimize the performance of an athlete.
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Affiliation(s)
- Henry Lukaski
- Department of Kinesiology and Public Health Education, Hyslop Sports Center, University of North Dakota, Grand Forks, United States
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12
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Dengel DR, Roelofs EJ, Czeck MA, Bosch TA. Male and Female Collegiate Ice Hockey Athletes' Body Composition Over Competitive Seasons. Int J Sports Med 2021; 42:1313-1318. [PMID: 34015836 DOI: 10.1055/a-1489-8188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Eighty-three male and female (49/34) athletes underwent determination of total fat mass (FM), lean mass (LM), bone mineral density (BMD) and visceral adipose tissue (VAT) by dual X-ray absorptiometry during the pre-season, in-season and off-season. Athletes were classified by position of Goalie (G; M/F=7/6), Forward (F; M/F=26/18), or Defenseman (D; M/F=16/10). In males, all positions were similar in weight, FM, LM, BMD and VAT. In females, F weighed less than D and G. FM and VAT was lower in F than D and G, but D was not different from G. LM was lower in F compared to D, but not G, with no differences between D and G. There were no differences in BMD between positions. There were no seasonal changes in males for body composition variables. In females, FM, LM and VAT decreased from pre-season to in-season, while BMD increased. From in-season to off-season, LM increased and BMD decreased. From off-season to pre-season, FM and VAT increased. In conclusion, there were no differences across position or seasonal changes in body composition in males. However, there were positional and seasonal changes in body composition in females, indicating possible differences in training regimens during the off-season compared to males.
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Affiliation(s)
- Donald R Dengel
- School of Kinesiology, University of Minnesota, Minneapolis, United States
| | - Erica J Roelofs
- School of Kinesiology, University of Minnesota, Minneapolis, United States
| | - Madeline A Czeck
- School of Kinesiology, University of Minnesota, Minneapolis, United States
| | - Tyler A Bosch
- Performance & Data Analytics, Red Bull Athlete Performance Center, Santa Monica, United States
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13
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Infantino NA, McCormack WP, Almstedt HC. Bone mineral density and hip structure changes over one-year in collegiate distance runners and non-athlete controls. Bone Rep 2021; 14:101056. [PMID: 33850975 PMCID: PMC8022846 DOI: 10.1016/j.bonr.2021.101056] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Revised: 03/01/2021] [Accepted: 03/19/2021] [Indexed: 11/28/2022] Open
Abstract
Modification of bone is continuous throughout life and influenced by many factors, including physical activity. This study investigated changes in areal bone mineral density (aBMD) and hip structure among male and female collegiate distance runners and non-athlete controls over 12 months. Using dual-energy x-ray absorptiometry (DXA) and hip structure analysis (HSA) software, aBMD at the posterior-anterior (PA) and lateral spine, femoral neck, total hip (TH), whole body (WB), and bone geometry at the narrow neck (NN) of the femur was measured three times over 12 months. HSA included cross-sectional area (CSA), cross-sectional moment of inertia (CSMI), and Z-section modulus (Z). Male runners had significantly higher aBMD at TH and WB and greater CSA, CSMI, and Z than male controls at the end of 12 months. Female controls had higher aBMD at the PA spine than female runners at the end of 12 months. Male runners had significant increases in aBMD at the PA (p = 0.003) and lateral spine (p = 0.002), and TH (p = 0.002), female runners had significant decreases in aBMD at TH (p = 0.015) and WB (p = 0.002), male controls had significant increases in aBMD at the PA spine (p < 0.001) and WB (p < 0.001), and female controls had significant decreases in aBMD at lateral spine and TH (p = 0.008) over the year. When applying covariates of bone-free lean mass and vitamin D, male distance runners demonstrated significant improvement in CSA (3.602 ± 0.139 vs. 3.675 ± 0.122 cm2, p = 0.05), CSMI (3.324 ± 0.200 to 3.467 ± 0.212 cm4, p < 0.05), and Z (1.81 ± 0.08 to 1.87 ± 0.08 cm3, p = 0.05) during the study. No other changes in hip structure occurred over the year. Distance running may be beneficial to aBMD and hip structure in college-age males but not females. Further research is needed on potential influences of weight-bearing activity, energy availability, and hormonal status on aBMD and hip structure in males and females.
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Key Words
- ANCOVA, analysis of covariance
- BFLM, bone-free lean mass
- BMI, body mass index
- CSA, cross-sectional area
- CSMI, cross-sectional moment of inertia
- DXA, dual-energy x-ray absorptiometry
- EA, energy availability
- FFQ, Food Frequency Questionnaire
- Femur bone geometry
- HSA, Hip Structure Analysis
- Hip structure analysis
- METs, metabolic equivalents
- NN, narrow neck
- Peak bone mass
- RDA, recommended dietary allowance
- Stress fracture
- Z, Z-section modulus
- aBMD, areal bone mineral density
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Affiliation(s)
| | - William P McCormack
- Human Performance Laboratory, Department of Health and Human Sciences, 1 LMU Drive, MS 8888, Los Angeles, CA 90045, USA
| | - Hawley C Almstedt
- Human Performance Laboratory, Department of Health and Human Sciences, 1 LMU Drive, MS 8888, Los Angeles, CA 90045, USA
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Katona A, Riewe C, Bruzina A, Ollberding NJ, Ankrom M, Divine J, Mangine R, Peairs A. Body Composition Changes over Multiple Academic Years in Female Collegiate Soccer Players. J Funct Morphol Kinesiol 2020; 5:jfmk5040072. [PMID: 33467287 PMCID: PMC7739407 DOI: 10.3390/jfmk5040072] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 09/17/2020] [Accepted: 09/24/2020] [Indexed: 11/23/2022] Open
Abstract
Body composition plays a key role in overall health and sports performance and its assessment is an important part of many athletic programs. The purpose of this study was to describe longitudinal changes in body composition for collegiate female soccer players in order to provide data to inform future training and nutrition interventions for this population. A linear mixed-model (LMM) approach was used to analyze four years of pre- and post-season body composition data, including total mass, fat-free mass (FFM), fat mass, and body fat percentage (%BF) for 49 athletes. Athletes gained an average of 0.5 kg FFM during the season (p < 0.05) and increased total mass, FFM, fat mass, and %BF (2.5 kg, 1.1 kg, 1.7 kg, and 1.7%, respectively; p < 0.05) over four years. Freshmen experienced a 1.5 kg gain in total mass pre- to post-season (p < 0.05), while no changes in total mass or body composition were seen in other grade levels. Gains in %BF during the off season between Freshman and Sophomore years represented negative changes in body composition that should be addressed further. These results can help interdisciplinary athlete care teams optimize training programs in this population by understanding what changes are expected over multiple years. Normalizing these changes may also help the promotion of realistic body composition goals and the development of positive training and dietary habits.
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Affiliation(s)
- Austin Katona
- Department of Rehabilitation, Exercise, and Nutrition Sciences, University of Cincinnati, Cincinnati, OH 45267, USA; (A.K.); (C.R.); (A.B.)
| | - Caroline Riewe
- Department of Rehabilitation, Exercise, and Nutrition Sciences, University of Cincinnati, Cincinnati, OH 45267, USA; (A.K.); (C.R.); (A.B.)
| | - Angela Bruzina
- Department of Rehabilitation, Exercise, and Nutrition Sciences, University of Cincinnati, Cincinnati, OH 45267, USA; (A.K.); (C.R.); (A.B.)
| | - Nicholas J Ollberding
- Division of Biostatistics and Epidemiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA;
- Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, OH 45267, USA
| | - Mary Ankrom
- Department of Athletics, University of Cincinnati, Cincinnati, OH 45267, USA; (M.A.); (J.D.); (R.M.)
| | - Jon Divine
- Department of Athletics, University of Cincinnati, Cincinnati, OH 45267, USA; (M.A.); (J.D.); (R.M.)
| | - Robert Mangine
- Department of Athletics, University of Cincinnati, Cincinnati, OH 45267, USA; (M.A.); (J.D.); (R.M.)
- NovaCare Rehabilitation, Mechanicsburg, PA 17055, USA
| | - Abigail Peairs
- Department of Rehabilitation, Exercise, and Nutrition Sciences, University of Cincinnati, Cincinnati, OH 45267, USA; (A.K.); (C.R.); (A.B.)
- Department of Athletics, University of Cincinnati, Cincinnati, OH 45267, USA; (M.A.); (J.D.); (R.M.)
- Correspondence:
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