{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T04:57:39Z","timestamp":1783573059197,"version":"3.55.0"},"reference-count":49,"publisher":"MDPI AG","issue":"20","license":[{"start":{"date-parts":[[2024,10,18]],"date-time":"2024-10-18T00:00:00Z","timestamp":1729209600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Mitacs Accelerate PhD Fellowship","award":["IT-16129"],"award-info":[{"award-number":["IT-16129"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The use of session rating of perceived exertion (sRPE) as a measure of workload is a popular athlete load monitoring tool. However, the nature of sRPE means the contribution of salient, sport-specific factors to athlete load in field sports is challenging to isolate and quantify. In rugby sevens, drivers of load include high-speed running and physical contact. In soccer and men\u2019s rugby, union acceleration\/deceleration also influences load. These metrics are evaluated using data from global navigation satellite system (GNSS) sensors worn by athletes. Research suggests that sensor data methods for identifying load in men\u2019s rugby do not accurately quantify female athlete loads. This investigation examined how mass, contact, and accelerations and decelerations at different speeds contribute to load in women\u2019s rugby sevens. The study evaluated 99 international matches, using data from 19 full-time athletes. GNSS measures, RPE, athlete mass, and contact count were evaluated using a linear mixed-model regression. The model demonstrated significant effects for low decelerations at low and high speeds, mass, distance, and contact count explaining 48.7% of the global variance of sRPE. The use of acceleration\/deceleration and speed from GNSS sensors alongside mass, as well as contact count, presents a novel approach to quantifying load.<\/jats:p>","DOI":"10.3390\/s24206699","type":"journal-article","created":{"date-parts":[[2024,10,18]],"date-time":"2024-10-18T06:46:52Z","timestamp":1729234012000},"page":"6699","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Predicting Athlete Workload in Women\u2019s Rugby Sevens Using GNSS Sensor Data, Contact Count and Mass"],"prefix":"10.3390","volume":"24","author":[{"given":"Amarah","family":"Epp-Stobbe","sequence":"first","affiliation":[{"name":"Canadian Sport Institute Pacific, Victoria, BC V9E 2C5, Canada"},{"name":"School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC V8P 5C2, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3338-3306","authenticated-orcid":false,"given":"Ming-Chang","family":"Tsai","sequence":"additional","affiliation":[{"name":"Canadian Sport Institute Pacific, Victoria, BC V9E 2C5, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5512-0558","authenticated-orcid":false,"given":"Marc D.","family":"Klimstra","sequence":"additional","affiliation":[{"name":"Canadian Sport Institute Pacific, Victoria, BC V9E 2C5, Canada"},{"name":"School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC V8P 5C2, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,10,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"161","DOI":"10.2165\/00007256-199112030-00003","article-title":"Quantification of training in competitive sports. 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