Kati Wiedenbrüg, Andrea Roffler, Lukas Reichert, Michael Mutz, Karen Zentgraf, Karsten Krüger
{"title":"德国优秀运动员低水平发展的多因素模式。","authors":"Kati Wiedenbrüg, Andrea Roffler, Lukas Reichert, Michael Mutz, Karen Zentgraf, Karsten Krüger","doi":"10.1155/tsm2/8421509","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Low performance development (LPD) has been related to several training-related, biological or psychosocial factors. However, there is still hardly any comprehensive research on its multifactorial nature. This study explored whether factors previously associated with LPD manifest as cross-disciplinary pattern combinations across such athletes.</p><p><strong>Methods: </strong>Cluster analyses were computed based on performance-related (speed and strength of the lower body), biological (ratio TNFα:IL10; fT3, leptin, insulin) and psychosocial (perceived social support; mental well-being) data from 62 of 296 elite athletes whose performance development was below the samples' average range. Group comparisons were calculated for demographic, anthropometric, nutritional and sleep-related variables, as well as for additional psychosocial (critical life events; perceived stress) and biological (single inflammatory markers) variables.</p><p><strong>Results: </strong>Six patterns were identified, which could be described via domain-specific characteristics (lower body dynamics and social support), via an interdisciplinary combination of factors (social support, mental well-being and/or lower body dynamics) or by no characteristic pattern at group level.</p><p><strong>Conclusion: </strong>In general, this study extends research on LPD and illustrates the limited validity of generalisations while emphasising the additional value of individualisation for athletes who drop behind their peers. Moreover, the identified patterns point to the limitations of taking a cross-disciplinary approach at group level.</p>","PeriodicalId":75247,"journal":{"name":"Translational sports medicine","volume":"2025 ","pages":"8421509"},"PeriodicalIF":1.9000,"publicationDate":"2025-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12515568/pdf/","citationCount":"0","resultStr":"{\"title\":\"Multifactorial Patterns of Low Performance Development in German Elite Athletes.\",\"authors\":\"Kati Wiedenbrüg, Andrea Roffler, Lukas Reichert, Michael Mutz, Karen Zentgraf, Karsten Krüger\",\"doi\":\"10.1155/tsm2/8421509\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Low performance development (LPD) has been related to several training-related, biological or psychosocial factors. However, there is still hardly any comprehensive research on its multifactorial nature. This study explored whether factors previously associated with LPD manifest as cross-disciplinary pattern combinations across such athletes.</p><p><strong>Methods: </strong>Cluster analyses were computed based on performance-related (speed and strength of the lower body), biological (ratio TNFα:IL10; fT3, leptin, insulin) and psychosocial (perceived social support; mental well-being) data from 62 of 296 elite athletes whose performance development was below the samples' average range. Group comparisons were calculated for demographic, anthropometric, nutritional and sleep-related variables, as well as for additional psychosocial (critical life events; perceived stress) and biological (single inflammatory markers) variables.</p><p><strong>Results: </strong>Six patterns were identified, which could be described via domain-specific characteristics (lower body dynamics and social support), via an interdisciplinary combination of factors (social support, mental well-being and/or lower body dynamics) or by no characteristic pattern at group level.</p><p><strong>Conclusion: </strong>In general, this study extends research on LPD and illustrates the limited validity of generalisations while emphasising the additional value of individualisation for athletes who drop behind their peers. Moreover, the identified patterns point to the limitations of taking a cross-disciplinary approach at group level.</p>\",\"PeriodicalId\":75247,\"journal\":{\"name\":\"Translational sports medicine\",\"volume\":\"2025 \",\"pages\":\"8421509\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2025-10-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12515568/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Translational sports medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1155/tsm2/8421509\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"SPORT SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Translational sports medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1155/tsm2/8421509","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"SPORT SCIENCES","Score":null,"Total":0}
Multifactorial Patterns of Low Performance Development in German Elite Athletes.
Introduction: Low performance development (LPD) has been related to several training-related, biological or psychosocial factors. However, there is still hardly any comprehensive research on its multifactorial nature. This study explored whether factors previously associated with LPD manifest as cross-disciplinary pattern combinations across such athletes.
Methods: Cluster analyses were computed based on performance-related (speed and strength of the lower body), biological (ratio TNFα:IL10; fT3, leptin, insulin) and psychosocial (perceived social support; mental well-being) data from 62 of 296 elite athletes whose performance development was below the samples' average range. Group comparisons were calculated for demographic, anthropometric, nutritional and sleep-related variables, as well as for additional psychosocial (critical life events; perceived stress) and biological (single inflammatory markers) variables.
Results: Six patterns were identified, which could be described via domain-specific characteristics (lower body dynamics and social support), via an interdisciplinary combination of factors (social support, mental well-being and/or lower body dynamics) or by no characteristic pattern at group level.
Conclusion: In general, this study extends research on LPD and illustrates the limited validity of generalisations while emphasising the additional value of individualisation for athletes who drop behind their peers. Moreover, the identified patterns point to the limitations of taking a cross-disciplinary approach at group level.