<rdf:RDF xmlns:rdf="http://www.openarchives.org/OAI/2.0/rdf/" xmlns:ow="http://www.ontoweb.org/ontology/1#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:ds="http://dspace.org/ds/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/rdf/ http://www.openarchives.org/OAI/2.0/rdf.xsd">
   <ow:Publication rdf:about="oai:digibug.ugr.es:10481/78041">
      <dc:title>Relationships between Internal Training Intensity and Well-Being Changes in Youth Football Players</dc:title>
      <dc:creator>Silva, Rui Miguel</dc:creator>
      <dc:creator>González Fernández, Francisco Tomás</dc:creator>
      <dc:subject>Athletic performance</dc:subject>
      <dc:subject>Hooper Index</dc:subject>
      <dc:subject>Load monitoring</dc:subject>
      <dc:subject>Perceived exertion</dc:subject>
      <dc:subject>Soccer</dc:subject>
      <dc:subject>Testing</dc:subject>
      <dc:subject>Wellness</dc:subject>
      <dc:description>The aim of this study was two-fold: (i) to analyze the variations of training intensity and well-being measures of youth football player over a 38 week period; and (ii) to test the relationships between training intensity and well-being variations throughout a youth football season. This study followed a longitudinal design, lasting 38 weeks. Twenty-five players (age: 15.0 +/- 0.4 years) participated in this study. Participants were monitored daily to quantify the training intensity (TI) using the session-rate of perceived exertion (s-RPE) and its related indices: training monotony (TM), weekly training intensity (wTI), mean training intensity (mTI), and 5-day average (5d-AVG). A four-item questionnaire was collected daily to quantify the well-being status of each player. Fatigue, stress, delayed onset muscle soreness (DOMS), sleep quality, and the Hooper Index (HI) measures were analyzed. Kruskal-Wallis H test revealed significant differences for TM, mTI, wTI and 5d-AVG (H = 359.53, p = 0.001, eta 2 = 0.35; H = 414.97, p = 0.001, eta 2 = 0.41, H = 258.42, p = 0.001, eta 2 = 0.24 and H = 282.18, p = 0.001, eta 2 = 0.26). A positive large correlation was found between TM and sleep quality (r = 0.65, p = 0.05) and a negative large correlation between mTI and sleep quality (r = -0.69, p = 0.04). In conclusion, both TI and well-being measures present significant between-week differences at different periods of the season. Also, the variations of sleep quality seem to depend on TM and mTI variations across a youth football season.</dc:description>
      <dc:date>2022-11-18T12:01:11Z</dc:date>
      <dc:date>2022-11-18T12:01:11Z</dc:date>
      <dc:date>2022-09-21</dc:date>
      <dc:type>journal article</dc:type>
      <dc:identifier>Silva, R.M... [et al.]. Relationships between Internal Training Intensity andWell-Being Changes in Youth Football Players. Healthcare 2022, 10, 1814. [https://doi.org/10.3390/healthcare10101814]</dc:identifier>
      <dc:identifier>https://hdl.handle.net/10481/78041</dc:identifier>
      <dc:identifier>10.3390/healthcare10101814</dc:identifier>
      <dc:language>eng</dc:language>
      <dc:rights>http://creativecommons.org/licenses/by/4.0/</dc:rights>
      <dc:rights>open access</dc:rights>
      <dc:rights>Atribución 4.0 Internacional</dc:rights>
      <dc:publisher>MDPI</dc:publisher>
   </ow:Publication>
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