Muscle strength and regional lean body mass influence on mineral bone health in young male adults

Guimarães, Bianca Rosa; Pimenta, Luciana Duarte; Massini, Danilo Alexandre; Santos, Daniel dos; Siqueira, Leandro Oliveira da Cruz; Simionato, Astor Reis; Santos, Luiz Gustavo Almeida dos; Neiva, Cassiano Merussi; Filho, Dalton Müller Pessôa

doi:10.1371/journal.pone.0191769

Cited by 28 publications

(29 citation statements)

References 34 publications

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“…These results are in contrast with previously reported findings, where WBB athletes ( n = 38) displayed decreases in BF% from the pre- to post-season, ranging from −0.8% to −1.4% [ 1 , 9 , 10 ], and increases in FFM and BM in elite junior WBB players ( n = 9) [ 15 ]. The reduction in FFM observed in the current study is of concern, as previous literature has shown a correlation between FFM and bone mineral density [ 17 ], strength [ 18 , 19 ], speed [ 20 ], and power [ 18 , 21 ]. Reductions in FFM across seasons were also observed in NCAA Division I collegiate softball athletes [ 17 ], thus signifying an ongoing concern for women athletes in regard to maintaining FFM.…”

Section: Discussionmentioning

confidence: 67%

Seasonal and Longitudinal Changes in Body Composition by Sport-Position in NCAA Division I Basketball Athletes

Fields

Merrigan

White

et al. 2018

Sports

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The purpose of this study was to assess the body composition of male and female basketball athletes (n = 323) across season, year, and sport-position using air displacement plethysmography. An independent sample t-test assessed sport-position differences. An analysis of variance was used to assess within-subjects across season (pre-season, in-season, and off-season), and academic year (freshman, sophomore, and junior). For both men and women basketball (MBB, WBB) athletes, guards had the lowest body fat, fat mass, fat free mass, and body mass. No seasonal differences were observed in MBB, but following in-season play for WBB, a reduction of (p = 0.03) in fat free mass (FFM) was observed. Across years, MBB showed an increase in FFM from freshman to sophomore year, yet remained unchanged through junior year. For WBB across years, no differences occurred for body mass (BM), body fat (BF%), and fat mass (FM), yet FFM increased from sophomore to junior year (p = 0.009). Sport-position differences exist in MBB and WBB: Guards were found to be smaller and leaner than forwards. Due to the importance of body composition (BC) on athletic performance, along with seasonal and longitudinal shifts in BC, strength and conditioning practitioners should periodically assess athletes BC to ensure preservation of FFM. Training and nutrition programming can then be adjusted in response to changes in BC.

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Section: Discussionmentioning

confidence: 67%

Seasonal and Longitudinal Changes in Body Composition by Sport-Position in NCAA Division I Basketball Athletes

Fields

Merrigan

White

et al. 2018

Sports

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“…Grip strength is currently much easier to measure, thus has greater potential than would isokinetic dynamometry for incorporating into clinical practice [36]. Nonetheless, the relationship between muscle strength and LBM (whole-body or regional) is well stated [37]. This relationship has been found to be stronger (R 2 = 0.70) when the leg strength is not isometric, but isotonic [38].…”

Section: Discussionmentioning

confidence: 99%

Relationship between Leg Strength and Balance and Lean Body Mass. Benefits for Active Aging

Castillo-Rodríguez¹,

Onetti-Onetti²,

Mendes³

et al. 2020

Sustainability

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Physical activity (PA) can bring incalculable benefits to people throughout the aging process. The objective of this study was to determine the relationships between the leg and arm strength, body composition and balance of elderly people. Twenty-one people (9 men and 12 women) over 60 years of age voluntarily participated in this study. Bioimpedance tests were carried out to obtain body mass data, manual dynamometer tests and the lower limbs test were conducted to obtain strength values, and the stork balance stand test was conducted to assess static balance. As a result, medium-high correlation coefficients were obtained between the aforementioned dependent variables. The highest value corresponded to the relationship between the results of the dominant hand strength test (right hand in all participants) and the lean body mass (LBM) of the participant (R 2 = 75%, p < 0.001). The results indicated that strength capacity, recorded by dynamometry, and balance ability have a direct relationship with the body composition of the subject, especially with their lean body mass. These data suggest that a greater lean body mass can provide greater strength and balance in the elderly, so it would improve or have greater duration the functionality and independence of the person, thereby justifying direct benefits in people and indirect benefits in public administrations that finance these social issues.

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“…Interestingly, a statistically significant relationship was found between Arms aBMD and Appendicular LSTMI, which remained significant even after adjusting for CF experience. LSTMI has been positively associated with aBMD at the WB- and regional levels in young men [ 25 , 26 ], indicating that increasing skeletal muscle mass may contribute to increased aBMD at the upper limb. The hypothesis that the non-weight bearing parts of the skeleton respond to CF participation in a dose-dependent manner deserves further investigation.…”

Section: Discussionmentioning

confidence: 99%

Different amount of training affects body composition and performance in High-Intensity Functional Training participants

et al. 2020

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The effects of High-Intensity Functional Training (HIFT) on body composition and the relationship of the latter with performance are not well defined. In this work we investigated, by means of Dual-energy X-ray Absorptiometry, the relative proportions of fat-, lean soft tissue-, and mineral mass in CrossFit ® (CF, a popular mode of HIFT) participants (n = 24; age, 28.2 ± 3.39 y; BMI, 25.3 ± 2.04 kg/m 2 ) with at least 1 year of CF training experience and weekly amount of training > 10 h/w (n = 13; Higher Training, HT) or < 10 h/w (n = 11; Lower Training, LT) as well as age- matched and BMI-matched physically active controls (CHT, CLT). Performance was assessed in the “Fran” workout. Data were analyzed by one-way or repeated measures ANOVA where needed. Association between variables was assessed with the Pearson’s correlation coefficient r. Partial correlation was used where needed. Results showed that HT performed better than LT in the “Fran” (P < 0.001) and they had higher whole-body bone mineral density (P = 0.026) and higher lean soft mass (P = 0.002), and borderline lower percent fat mass (P = 0.050). The main difference between CF participants (HT, LT) and their respective controls (CHT, CLT) was a lower adiposity in the former. In CF participants, performance positively correlated with appendicular lean soft tissue mass (P = 0.030). It can be concluded that, in CF participants, a higher amount of weekly training improves most notably lean body mass and increases performance in association with increased skeletal muscle mass. CF participation is especially effective in reducing fat mass vs. age- and BMI-matched physically active controls.

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Muscle strength and regional lean body mass influence on mineral bone health in young male adults

Cited by 28 publications

References 34 publications

Seasonal and Longitudinal Changes in Body Composition by Sport-Position in NCAA Division I Basketball Athletes

Seasonal and Longitudinal Changes in Body Composition by Sport-Position in NCAA Division I Basketball Athletes

Relationship between Leg Strength and Balance and Lean Body Mass. Benefits for Active Aging

Different amount of training affects body composition and performance in High-Intensity Functional Training participants

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