A genetic-based algorithm for recovery: A pilot study
Exercise training creates a number of physical challenges to the body, the overcoming of which drives exercise adaptation. The balance between sufficient stress and recovery is a crucial, but often under-explored, area within exercise training. Genetic variation can also predispose some individuals...
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          | Published in | bioRxiv | 
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| Main Authors | , , , , | 
| Format | Paper | 
| Language | English | 
| Published | 
        Cold Spring Harbor
          Cold Spring Harbor Laboratory Press
    
        20.07.2017
     Cold Spring Harbor Laboratory  | 
| Edition | 1.1 | 
| Subjects | |
| Online Access | Get full text | 
| ISSN | 2692-8205 2692-8205  | 
| DOI | 10.1101/166181 | 
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| Summary: | Exercise training creates a number of physical challenges to the body, the overcoming of which drives exercise adaptation. The balance between sufficient stress and recovery is a crucial, but often under-explored, area within exercise training. Genetic variation can also predispose some individuals to a greater need for recovery after exercise. In this pilot study, 18 male soccer players underwent a repeated sprint training session. Countermovement jump (CMJ) heights were recorded immediately pre- and post-training, and at 24- and 48-hours post-training. The reduction in CMJ height was greatest at all post-training time points in subjects with a larger number of gene variants associated with a reduced exercise recovery. This suggests that knowledge of genetic information can be important in individualizing recovery timings and modalities in athletes following training. | 
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| Bibliography: | SourceType-Working Papers-1 ObjectType-Working Paper/Pre-Print-1 content type line 50  | 
| ISSN: | 2692-8205 2692-8205  | 
| DOI: | 10.1101/166181 |