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Muscle strength and body composition in severe obesity

Overview of attention for article published in Clinics, May 2017
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Title
Muscle strength and body composition in severe obesity
Published in
Clinics, May 2017
DOI 10.6061/clinics/2017(05)03
Pubmed ID
Authors

AV Gadducci, R de Cleva, GC Santarém, PR Silva, JM Greve, MA Santo

Abstract

The aim of our study was to evaluate associations between maximum voluntary contraction torques of the lower limbs and body composition for subjects with severe obesity. Body composition was evaluated by bioelectrical impedance analysis, and maximum voluntary contraction torques of the lower limbs were measured using an isokinetic dynamometer. One hundred thirty-two patients were enrolled (100 females and 32 males). Eighty-seven patients had a body mass index between 40 and 49.9 kg/m2 (the A group), and 45 patients had a body mass index between 50 and 59.9 kg/m2 (the B group). Absolute extension and flexion torques had weak associations with fat-free mass but a moderate association with absolute extension torque and fat-free mass of the lower limbs. There were no significant differences between the A and B groups with respect to absolute extension and flexion torques. For the A group, absolute extension and flexion torques were moderately associated with fat-free mass and with fat-free mass of the lower limbs. For the B group, there were only moderate associations between absolute extension and flexion torques with fat-free mass of the lower limbs. Our findings demonstrate that both groups exhibited similar absolute torque values. There were weak to moderate associations between absolute extension and flexion torques and fat-free mass but a moderate association with fat-free mass of the lower limbs. Individuals with severe obesity should strive for greater absolute torques, fat-free mass and especially fat-free mass of the lower limbs to prevent functional limitations and physical incapacity.

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 24%
Student > Bachelor 8 15%
Student > Ph. D. Student 7 13%
Researcher 5 9%
Student > Postgraduate 4 7%
Other 6 11%
Unknown 12 22%
Readers by discipline Count As %
Nursing and Health Professions 12 22%
Sports and Recreations 10 18%
Medicine and Dentistry 8 15%
Neuroscience 3 5%
Engineering 3 5%
Other 6 11%
Unknown 13 24%