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1.
Int J Exerc Sci ; 13(4): 1512-1531, 2020.
Article in English | MEDLINE | ID: mdl-33414873

ABSTRACT

Several studies have determined the influence of physical characteristics on strength. The present quantified the relationships between anthropometry and maximal strength. Male classic powerlifters (n=59) were measured before a championship. Two-tailed Pearson correlation analysis was used. Powerlifters that presented higher relative maximal strength (RMS) in the squat and bench generally had higher body weight (BW), body mass index (BMI), torso circumference (C), waist C/height, torso C/height (r=0.26 to 0.49, p<0.05), and smaller lower leg length (L)/height and forearm L/torso C (r=-0.31 to -0.45, p<0.05) ratios. Powerlifters with a higher % of their deadlift on their total generally presented a smaller BW, BMI, body fat percentage (BF%), waist and torso C, trunk L, waist C/height, torso C/height, trunk L/height, waist C/hip C, thigh L/lower leg L, trunk L/thigh L ratios (r=-0.26 to -0.49, p<0.05) and higher lower leg L, lower leg L/height, reach/height, and forearm L/torso C ratios (r=0.32 to 0.51, p<0.05). Stepwise regressions revealed that a bigger torso positively predicted absolute maximal strength (AMS) in the squat (ß=0.41, p=0.04), the bench (ß=0.77, p<0.01), the deadlift (ß=0.88, p<0.01) and the total (ß=0.89, p<0.01), that a higher torso C/height ratio positively predicted RMS in the squat(ß=0.48, p<0.01), the bench (ß=-0.87, p<0.01) and the total (ß=0.66, p<0.01), and that reach/height positively predicted RMS in the deadlift (ß=0.37, p<0.01) and it's % on the total (ß=0.31, p<0.01), but negatively predicted RMS in the bench (ß=-0.25, p=0.02) and its % on the total (ß=-0.24, p=0.04) As all of the stronger correlations came from AMS, powerlifters should focus on increasing AMS (weight lifted) instead of RMS (Wilks pts).

2.
J Sports Med Phys Fitness ; 60(3): 407-416, 2020 Mar.
Article in English | MEDLINE | ID: mdl-31663317

ABSTRACT

BACKGROUND: The purpose of this study was to conduct a detailed body composition analysis by Dual-Energy X-Ray Absorptiometry (DEXA scan) on classic powerlifters to understand better the relationship between various body composition variables and maximal strength. METHODS: Fifteen drug-free classic powerlifters (9 males and 6 females) underwent a DEXA scan and absolute (kg) and relative (Wilks) maximal strength from all 3 powerlifting events (squat, bench and deadlift) was registered from the previous provincial championship. A 2 tailed Pearson correlation analysis was conducted in order to present the relationships between body composition variables and performance measures. RESULTS: The main outcome of the present study is that experience in resistance training (r=0.52 to 0.74), lean body tissue (r= 0.61 to 0.95), arms mass (r=0.57 to 0.86), legs mass (r=0.53 to 0.63), bone mineral content (BMC) (r=0.52 to 0.91) and bone mineral density (BMD) (r=0.53 to 91) measures were significantly correlated (P<0.05) with most absolute (kg) and relative (Wilks) maximal strength measures. CONCLUSIONS: The results of the present study could guide practitioners working with athletes aged between 22 and 35 years old practicing sports with higher risks of fractures (e.g., alpine skiing) to potentially utilize the squat, the bench press and the deadlift not only to build strength in order to increase sport performance, but also to increase BMC and BMD of their athletes trough heavy eccentric loading to help reduce the risks of fractures. Further studies should be directed towards interventions trying to reveal that some type of relationship does exist between BMC, BMD and powerlifting performance and in what direction.


Subject(s)
Body Composition , Muscle Strength/physiology , Resistance Training/methods , Weight Lifting/physiology , Absorptiometry, Photon , Adult , Arm/anatomy & histology , Arm/physiology , Bone Density , Female , Fractures, Bone/prevention & control , Humans , Leg/anatomy & histology , Leg/physiology , Male , Young Adult
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