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POSITIVE EFFECTS OF RESISTANCE TRAINING ON INFLAMMATORY PARAMETERS IN MEN WITH METABOLIC SYNDROME RISK FACTORS.

Overview of attention for article published in Nutrición Hospitalaria, August 2015
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Title
POSITIVE EFFECTS OF RESISTANCE TRAINING ON INFLAMMATORY PARAMETERS IN MEN WITH METABOLIC SYNDROME RISK FACTORS.
Published in
Nutrición Hospitalaria, August 2015
DOI 10.3305/nh.2015.32.2.8696
Pubmed ID
Authors

Mariane Silveira Martins, Juliano Boufleur Farinha, Chane Basso Benetti, Aline Alves Courtes, Thiago Duarte, João Carlos Nunes da Silva, Marta Maria Medeiros Duarte, Félix Alexandre Antunes Soares, Daniela Lopes dos Santos

Abstract

evidences have shown a strongly association between metabolic syndrome (MS), cardiovascular diseases and chronic low-grade inflammation, being this last, related with the occurrence of sarcopenia and atherosclerosis. Despite several benefits, the effects of resistance training (RT) on inflammatory profile are controversial. Thereby, this study aims to investigate the effects of a RT on the inflammatory profile of men with MS risk factors. fifteen sedentary men (57.53 ± 7.07 years old) with 2 or more MS components underwent a RT for 14 weeks (3 times per week), with intensity ranging between 40 and 70% of one repetition maximum. The dual-energy X-ray absorptiometry was used to body composition assessment and serum was collected to evaluate biochemical and inflammatory parameters before and after the RT. despite the absence of changes in body weight, total muscular content and biochemical parameters, the individuals demonstrated a reduction on body fat content (p < 0.05). Furthermore, the RT resulted in lower circulating levels of tumor necrosis factor alpha and interleukin- 6 (p < 0.05), in higher levels of intelerukin-10 (p < 0.05) and in the stabilization of interleukin-1 beta and interferon-gamma concentrations. It was concluded that a moderate RT benefits inflammatory profile, contributing to a lower risk of cardiovascular diseases.

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Geographical breakdown

Country Count As %
Unknown 75 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 15%
Student > Bachelor 8 11%
Student > Postgraduate 6 8%
Student > Ph. D. Student 6 8%
Student > Doctoral Student 3 4%
Other 10 13%
Unknown 31 41%
Readers by discipline Count As %
Medicine and Dentistry 15 20%
Nursing and Health Professions 10 13%
Sports and Recreations 7 9%
Agricultural and Biological Sciences 3 4%
Biochemistry, Genetics and Molecular Biology 3 4%
Other 5 7%
Unknown 32 43%