{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,26]],"date-time":"2024-09-26T04:29:36Z","timestamp":1727324976396},"reference-count":58,"publisher":"Human Kinetics","issue":"10","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,10,1]]},"abstract":"<jats:p><jats:italic><jats:bold>Purpose<\/jats:bold>:<\/jats:italic> Prediction of athlete wellness is difficult\u2014or, many sports-medicine practitioners and scientists would argue, impossible. Instead, one settles for correlational relationships of variables gathered at fixed moments in time. The issue may be an inherent mismatch between usual methods of data collection and analysis and the complex nature of the variables governing athlete wellness. Variables such as external load, stress, muscle soreness, and sleep quality may affect each other and wellness in a dynamic, nonlinear, way over time. In such an environment, traditional data-collection methods and statistics will fail to capture causal effects. If we are to move this area of sport science forward, a different approach is required. <jats:italic><jats:bold>Methods<\/jats:bold>:<\/jats:italic> We analyzed data from 2 different soccer teams that showed no significance between player load and wellness or among individual measures of wellness. Our analysis used methods of attractor reconstruction to examine possible causal relationships between GPS\/accelerometer-measured external training load and wellness variables. <jats:italic><jats:bold>Results<\/jats:bold>:<\/jats:italic> Our analysis showed that player self-rated stress, a component of wellness, seems a fundamental driving variable. The influence of stress is so great that stress can predict other components of athlete wellness, and, in turn, self-rated stress can be predicted by observing a player\u2019s load data. <jats:italic><jats:bold>Conclusion<\/jats:bold>:<\/jats:italic> We demonstrate the ability of nonlinear methods to identify interactions between and among variables to predict future athlete stress. These relationships are indicative of the causal relationships playing out in athlete wellness over the course of a soccer season.<\/jats:p>","DOI":"10.1123\/ijspp.2024-0007","type":"journal-article","created":{"date-parts":[[2024,8,8]],"date-time":"2024-08-08T10:17:26Z","timestamp":1723112246000},"page":"1030-1040","source":"Crossref","is-referenced-by-count":0,"title":["Stress Drives Soccer Athletes\u2019\u00a0Wellness and Movement: Using Convergent Cross-Mapping to Identify Causal Relationships in a Dynamic Environment"],"prefix":"10.1123","volume":"19","author":[{"given":"Benjamin D.","family":"Stern","sequence":"first","affiliation":[{"name":"Department of Rehabilitation Sciences, School of Medicine, Tufts University, Boston, MA, USA"},{"name":"HonorHealth, Scottsdale, AZ, USA"},{"name":"Doctor of Physical Therapy Program, School of Medicine, Tufts University, Phoenix, AZ, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ethan R.","family":"Deyle","sequence":"additional","affiliation":[{"name":"Department of Biology, Boston University, Boston, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eric J.","family":"Hegedus","sequence":"additional","affiliation":[{"name":"Department of Rehabilitation Sciences, School of Medicine, Tufts University, Boston, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stephan B.","family":"Munch","sequence":"additional","affiliation":[{"name":"Department of Applied Mathematics, University of California, Santa Cruz, Santa Cruz, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Erik","family":"Saberski","sequence":"additional","affiliation":[{"name":"Scripps Institution of Oceanography, University of California, San Diego, San Diego, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"100","reference":[{"issue":"21","key":"r1","series-title":"Br J Sports Med","doi-asserted-by":"publisher","first-page":"1309","DOI":"10.1136\/bjsports-2015-095850","article-title":"Complex systems approach for sports injuries: moving from risk factor identification to injury pattern recognition-narrative review and new concept","volume":"50","author":"Bittencourt NFN","year":"2016","unstructured":"Bittencourt NFN, Meeuwisse WH, Mendon\u00e7a LD, Nettel-Aguirre A, Ocarino JM, Fonseca ST. 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