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Relationships between Internal Training Intensity and Well-Being Changes in Youth Football Players
| dc.contributor.author | Silva, Rui Miguel | |
| dc.contributor.author | González Fernández, Francisco Tomás | |
| dc.date.accessioned | 2022-11-18T12:01:11Z | |
| dc.date.available | 2022-11-18T12:01:11Z | |
| dc.date.issued | 2022-09-21 | |
| dc.identifier.citation | 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] | es_ES |
| dc.identifier.uri | https://hdl.handle.net/10481/78041 | |
| dc.description.abstract | 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. | es_ES |
| dc.description.sponsorship | Portuguese Foundation for Science and Technology UIDP/04748/2020 | es_ES |
| dc.language.iso | eng | es_ES |
| dc.publisher | MDPI | es_ES |
| dc.rights | Atribución 4.0 Internacional | * |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
| dc.subject | Athletic performance | es_ES |
| dc.subject | Hooper Index | es_ES |
| dc.subject | Load monitoring | es_ES |
| dc.subject | Perceived exertion | es_ES |
| dc.subject | Soccer | es_ES |
| dc.subject | Testing | es_ES |
| dc.subject | Wellness | es_ES |
| dc.title | Relationships between Internal Training Intensity and Well-Being Changes in Youth Football Players | es_ES |
| dc.type | journal article | es_ES |
| dc.rights.accessRights | open access | es_ES |
| dc.identifier.doi | 10.3390/healthcare10101814 | |
| dc.type.hasVersion | VoR | es_ES |
