{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T15:09:26Z","timestamp":1779376166553,"version":"3.53.1"},"reference-count":70,"publisher":"Human Kinetics","issue":"6","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,6,1]]},"abstract":"<jats:p>\n                    <jats:bold>\n                      <jats:italic>Purpose<\/jats:italic>\n                    <\/jats:bold>\n                    <jats:italic>:<\/jats:italic>\n                    This study examined the associations between laboratory-based performance indicators and competitive success in elite cross-country skiing, considering sex- and age-related differences over a 15-year period.\n                    <jats:bold>\n                      <jats:italic>Methods<\/jats:italic>\n                    <\/jats:bold>\n                    <jats:italic>:<\/jats:italic>\n                    A total of 106 Swiss National Team cross-country skiers (62 males\u00a0and 44 females) underwent standardized physiological testing including 24-minute double-poling treadmill time-trial performance (24-minute DP), maximal oxygen uptake (\n                    <jats:inline-formula\/>\n                    ), performance at the second lactate threshold, hemoglobin mass, 1-minute skating treadmill time-trial performance (Sprint\n                    <jats:sub>1\u2212min<\/jats:sub>\n                    ), squat jump peak power, and fat-free mass. Competitive performance was assessed using International Ski Federation (FIS) points in distance (FIS\n                    <jats:sub>Dist<\/jats:sub>\n                    ) and sprint (FIS\n                    <jats:sub>Spr<\/jats:sub>\n                    ) events. Mixed-effects models analyzed the predictive strength of test variables, incorporating sex and age interactions.\n                    <jats:bold>\n                      <jats:italic>Results<\/jats:italic>\n                    <\/jats:bold>\n                    <jats:italic>:<\/jats:italic>\n                    Twenty-four-minute DP and relative\n                    <jats:inline-formula\/>\n                    explained 42% of the variance in FIS\n                    <jats:sub>Dist<\/jats:sub>\n                    , while Sprint\n                    <jats:sub>1\u2212min<\/jats:sub>\n                    (66%), squat jump, and absolute\n                    <jats:inline-formula\/>\n                    (both 50%) were the strongest predictors of FIS\n                    <jats:sub>Spr<\/jats:sub>\n                    . Improvements in 24-minute DP, second lactate threshold, and Sprint\n                    <jats:sub>1\u2212min<\/jats:sub>\n                    had a greater impact on reducing FIS points in females, whereas relative and absolute\n                    <jats:inline-formula\/>\n                    , hemoglobin mass, squat jump, and fat-free mass showed similar predictive relationships across sexes. Age moderated these associations, with younger athletes experiencing greater reductions in FIS points per unit increase in test performance.\n                    <jats:bold>\n                      <jats:italic>Conclusions<\/jats:italic>\n                    <\/jats:bold>\n                    <jats:italic>:<\/jats:italic>\n                    This study highlights the importance of a comprehensive performance assessment in elite cross-country skiing that integrates ski-specific time trials, physiological capacity, strength, and body composition. The findings indicate that the relevance of laboratory-based performance indicators varies by sex and career stage, underscoring the need for longitudinal, age-aware interpretation when relating test outcomes to on-snow performance.\n                  <\/jats:p>","DOI":"10.1123\/ijspp.2025-0230","type":"journal-article","created":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T16:55:44Z","timestamp":1772124944000},"page":"715-724","source":"Crossref","is-referenced-by-count":0,"title":["Associations Between Laboratory-Based Performance Indicators and On-Snow Competitive Success in Elite Cross-Country Skiing: A 15-Year Analysis of the Swiss National Team"],"prefix":"10.1123","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3689-2974","authenticated-orcid":true,"given":"Elias","family":"Bucher","sequence":"first","affiliation":[{"name":"Section for Elite Sport, Swiss Federal Institute of Sport Magglingen, Magglingen, Switzerland"},{"name":"Institute of Sport Sciences, University of Lausanne, Lausanne, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8854-7937","authenticated-orcid":true,"given":"Jon P.","family":"Wehrlin","sequence":"additional","affiliation":[{"name":"Section for Elite Sport, Swiss Federal Institute of Sport Magglingen, Magglingen, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Severin","family":"Tr\u00f6sch","sequence":"additional","affiliation":[{"name":"Datahouse AG, Z\u00fcrich, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8081-4423","authenticated-orcid":true,"given":"Gr\u00e9goire P.","family":"Millet","sequence":"additional","affiliation":[{"name":"Institute of Sport Sciences, University of Lausanne, Lausanne, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3809-1230","authenticated-orcid":true,"given":"Thomas","family":"Steiner","sequence":"additional","affiliation":[{"name":"Section for Elite Sport, Swiss Federal Institute of Sport Magglingen, Magglingen, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"100","reference":[{"issue":"1","key":"r1","series-title":"Int J Sports Physiol Perform","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1123\/ijspp.2012-0172","article-title":"Time trials predict the competitive performance capacity of junior cross-country skiers","volume":"9","author":"Carlsson M","year":"2014","unstructured":"Carlsson M, Carlsson T, Hammarstr\u00f6m D, Malm C, Tonkonogi M. 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