{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T19:59:29Z","timestamp":1790107169461,"version":"4.0.1"},"reference-count":45,"publisher":"Public Library of Science (PLoS)","issue":"7","license":[{"start":{"date-parts":[[2023,7,31]],"date-time":"2023-07-31T00:00:00Z","timestamp":1690761600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001871","name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","doi-asserted-by":"publisher","award":["UIDP\/04748\/2020"],"award-info":[{"award-number":["UIDP\/04748\/2020"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS ONE"],"abstract":"<jats:p>The aims of this study were to: (i) analyse the within-microcycle variations in professional soccer players; (ii) analyse the relationships between wellness and training and match load demands; (iii) analyse the relationships between match-day (MD) demands and wellness during the following day (MD+1); and (iv) analyse the relationships between MD and wellness during the day before match-play (MD-1). Thirteen professional soccer players (age: 24.85\u00b13.13 years) were monitored daily over 16-weeks for wellness and training and match-play intensity. The daily wellness measures included fatigue, quality of sleep, muscle soreness, mood and stress using a 1\u20135 scale. Internal intensity was subjectively measured daily using the rating of perceived exertion (RPE) and the multiplication of RPE by session duration (s-RPE). While external intensity was quantified utilising high-speed running, sprinting, and acceleration and deceleration metrics. Data was analysed from each training session before (i.e., MD-5) or after the match (i.e., MD+1). Repeated measures ANOVA or Friedman ANOVA was used to analyse the aims (i) where Spearman correlation was applied to analyse the relationships between the aims (ii) and (iii) between sleep quality and training intensity. The main results for aim (i) showed that MD+1 presented the lowest values for wellness variables (p &lt; 0.05). While MD-1 presented the lowest internal and external load values (for all variables), with MD presenting the highest values (p &lt; 0.05). Regarding aim (ii), the main result showed significant large negative correlations between fatigue and s-RPE (r = -0.593; p = 0.033). Considering aim (iii), significant small to very large negative correlations were found for sleep quality, fatigue and muscle soreness with all internal and external variables (p &lt; 0.05). Lastly, the main results for aim (iv) showed large negative correlations for fatigue and session duration; fatigue and s-RPE; muscle soreness and session duration; muscle soreness and s-RPE; and muscle soreness and decelerations (p &lt; 0.05, for all). The main conclusions were that MD had an influence on wellness and internal and external training intensity, notably MD-1 and MD+1 were most affected. In this regard, a tendency of higher internal and external intensity on MD was associated with lower wellness measures of sleep quality, muscle soreness and fatigue on MD+1.<\/jats:p>","DOI":"10.1371\/journal.pone.0289374","type":"journal-article","created":{"date-parts":[[2023,7,31]],"date-time":"2023-07-31T13:22:38Z","timestamp":1690809758000},"page":"e0289374","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":20,"title":["The relationship between wellness and training and match load in professional male soccer players"],"prefix":"10.1371","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6671-6229","authenticated-orcid":true,"given":"Rafael Franco Soares","family":"Oliveira","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rui","family":"Can\u00e1rio-Lemos","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rafael","family":"Peixoto","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5399-7797","authenticated-orcid":true,"given":"Jos\u00e9","family":"Vila\u00e7a-Alves","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ryland","family":"Morgans","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4357-4269","authenticated-orcid":true,"given":"Jo\u00e3o Paulo","family":"Brito","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"340","published-online":{"date-parts":[[2023,7,31]]},"reference":[{"key":"pone.0289374.ref001","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1007\/s40279-014-0253-z","article-title":"Monitoring Training Load to Understand Fatigue in Athletes","volume":"44","author":"SL Halson","year":"2014","journal-title":"Sport Med"},{"key":"pone.0289374.ref002","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3390\/ijerph18052721","article-title":"Load measures in training\/match monitoring in soccer: A systematic review","volume":"18","author":"M Miguel","year":"2021","journal-title":"Int J Environ Res Public Health"},{"key":"pone.0289374.ref003","doi-asserted-by":"crossref","first-page":"S2-101","DOI":"10.1123\/ijspp.2016-0337","article-title":"Monitoring What Matters: A Systematic Process for Selecting Training-Load Measures","volume":"12","author":"S Williams","year":"2017","journal-title":"Int J Sports Physiol Perform"},{"key":"pone.0289374.ref004","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1080\/24733938.2018.1427883","article-title":"Training load monitoring in elite English soccer: a comparison of practices and perceptions between coaches and practitioners","volume":"2","author":"M. 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