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Jones, Thomas W.
Publications (4 of 4) Show all publications
Jones, T. W., Lindblom, H. P., Laaksonen, M. & McGawley, K. (2023). Using Multivariate Data Analysis to Project Performance in Biathletes and Cross-Country Skiers. International Journal of Sports Physiology and Performance, 18(8), 840-851
Open this publication in new window or tab >>Using Multivariate Data Analysis to Project Performance in Biathletes and Cross-Country Skiers
2023 (English)In: International Journal of Sports Physiology and Performance, ISSN 1555-0265, E-ISSN 1555-0273, Vol. 18, no 8, p. 840-851Article in journal (Refereed) Published
Abstract [en]

Purpose: To determine whether competitive performance, as defined by International Biathlon Union (IBU) and International Ski Federation (FIS) points in biathlon and cross-country (XC) skiing, respectively, can be projected using a combination of anthropometric and physiological metrics. Shooting accuracy was also included in the biathlon models. Methods: Data were analyzed using multivariate methods from 45 (23 female and 22 male) biathletes and 202 (86 female and 116 male) XC skiers who were all members of senior national teams, national development teams, or ski-university or high school invite-only programs (age range: 16-36 y). Anthropometric and physiological characteristics were assessed via dual-energy X-ray absorptiometry and incremental roller-ski treadmill tests, respectively. Shooting accuracy was assessed via an outdoor standardized testing protocol. Results: Valid projective models were identified for female biathletes' IBU points (R2 = .80/ Q2 = .65) and female XC skiers' FIS distance (R2 = .81/Q2 = .74) and sprint (R2 = .81/Q2 = .70) points. No valid models were identified for the men. The most important variables for the projection of IBU points were shooting accuracy, speeds at blood lactate concentrations of 4 and 2 mmol center dot L-1, peak aerobic power, and lean mass. The most important variables for the projection of FIS distance and sprint points were speeds at blood lactate concentrations of 4 and 2 mmol center dot L-1 and peak aerobic power. Conclusions: This study highlights the relative importance of specific anthropometric, physiological, and shooting-accuracy metrics in female biathletes and XC skiers. The data can help to identify the specific metrics that should be targeted when monitoring athletes' progression and designing training plans.

Place, publisher, year, edition, pages
Human Kinetics, 2023
Keywords
athlete testing, FIS points, IBU points, endurance, winter sports
National Category
Sport and Fitness Sciences
Identifiers
urn:nbn:se:miun:diva-48920 (URN)10.1123/ijspp.2022-0412 (DOI)001009287000001 ()37290762 (PubMedID)2-s2.0-85166363261 (Scopus ID)
Available from: 2023-07-06 Created: 2023-07-06 Last updated: 2025-09-25Bibliographically approved
Jones, T. W., Govus, A. D., Buskqvist, A., Andersson, E. P. & McGawley, K. (2022). An Analysis of Warm-Up Strategies at a Cross-Country Skiing National Championship. International Journal of Sports Physiology and Performance, 17(1), 50-57
Open this publication in new window or tab >>An Analysis of Warm-Up Strategies at a Cross-Country Skiing National Championship
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2022 (English)In: International Journal of Sports Physiology and Performance, ISSN 1555-0265, E-ISSN 1555-0273, Vol. 17, no 1, p. 50-57Article in journal (Refereed) Published
Abstract [en]

Purpose: To provide a descriptive analysis of the warm-up (WU) strategies employed by cross-country skiers prior to distance and sprint competitions at a national championship and to compare the skiers' planned and executed WUs prior to the respective competitions.

Methods: Twenty-one national- and international-level skiers (11 women and 10 men) submitted WU plans prior to the distance and sprint competitions, and after the competitions, reported any deviations from the plans. Skiers used personal monitors to record heart rate (HR) during WU, races, and cooldown. Quantitative statistical analyses were conducted on WU durations, durations in HR-derived intensity zones, and WU loads. Qualitative analyses were conducted on skiers' WU plans and their reasons for deviating from the plans.

Results: Skiers' planned WUs were similar in content and planned time in HR-derived intensity zones for both the distance and sprint competitions. However, 45% of the women and 20% of the men reported that their WU was not carried out as planned, with reasons detailed as being due to incorrect intensities and running out of time. WU activities including skiing across variable terrain, muscle-potentiating exercises, and heat-maintenance strategies were missing from the skiers' planned routines.

Conclusions: Skiers favored a long, traditional WU approach for both the sprint and distance events, performing less high-intensity and more moderate-intensity exercise during their WUs than planned. In addition, elements likely relevant to successful performance in cross-country skiing were missing from WU plans.

Keywords
Nordic skiing, precompetition, preparation, priming, transition
National Category
Sport and Fitness Sciences
Identifiers
urn:nbn:se:miun:diva-42765 (URN)10.1123/ijspp.2020-0832 (DOI)000733979200009 ()34359050 (PubMedID)2-s2.0-85123390036 (Scopus ID)
Available from: 2021-08-11 Created: 2021-08-11 Last updated: 2025-09-25Bibliographically approved
Jones, T. W., Wanner, J., Laaksonen, M. & McGawley, K. (2022). Using multivariate data analysis to project performance in biathletes and cross-country skiers. In: : . Paper presented at Nordic Winter Sports Conference, Östersund, Sweden, 3-4 October, 2022.
Open this publication in new window or tab >>Using multivariate data analysis to project performance in biathletes and cross-country skiers
2022 (English)Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

Previous research has indicated that pacing strategies within biathlon are influenced by terrain. However, it is not known if biathletes shooting performance within competition influences any pacing strategies employed. As such, the purpose of this study was to assess the impact of shooting performance on skiing speed and pacing strategies within sprint and individual competitionin elite female biathletes. Global navigation satellite system (GNSS) and heart data were collected during the female sprint and individual competitions of the 2019 IBU World Championships. Eight female biathletes (age 27 ± 2 years, IBU points 45 ± 18) competing in the sprint and individual events of the 2019 IBU World Championships volunteered and gave their written informed consent to participate in the study. Statistical analyses were conducted on shooting bout accuracy and speed and GNSS data to determine whether the accuracy and speed of the shooting bout influenced skiing speed in the subsequent lap of the race. No significant differences in skiing speed nor pacing strategies were observed subsequent to accurate or inaccurate shooting bouts, furthermore no significant differences in skiing speed were observed subsequent to fast or slow shooting bouts. As such, it appears in the biathletes assessed here, skiing speed and pacing was independent of shooting performance, although this was observed in a small sample of female biathletes.

National Category
Sport and Fitness Sciences
Identifiers
urn:nbn:se:miun:diva-48122 (URN)
Conference
Nordic Winter Sports Conference, Östersund, Sweden, 3-4 October, 2022
Available from: 2023-04-12 Created: 2023-04-12 Last updated: 2025-09-25Bibliographically approved
Jones, T. W., Lindblom, H., Karlsson, Ø., Andersson, E. & McGawley, K. (2021). Anthropometric, Physiological, and Performance Developments in Cross-country Skiers. Medicine & Science in Sports & Exercise, 53(12), 2553-2564
Open this publication in new window or tab >>Anthropometric, Physiological, and Performance Developments in Cross-country Skiers
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2021 (English)In: Medicine & Science in Sports & Exercise, ISSN 0195-9131, E-ISSN 1530-0315, Vol. 53, no 12, p. 2553-2564Article in journal (Refereed) Published
Abstract [en]

Purpose This study aimed to describe changes in laboratory-assessed anthropometric and physiological characteristics, training volumes, and competitive performance in national development-team cross-country skiers over a 25-month period, and to analyze whether changes in competitive performance could be predicted by changes in laboratory-assessed qualities and training volumes.

Methods Data collected over 25 months from 30 national development-team cross-country skiers (14 women, 16 men; age, 18–23 yr) were analyzed retrospectively using multivariate statistics. Anthropometric and physiological characteristics were assessed via dual-energy x-ray absorptiometry and incremental roller-ski treadmill tests, respectively. Total training volumes and distributions of low- and high-intensity training were analyzed from online training diaries, and competitive performance was determined by International Ski Federation (FIS) distance and sprint points.

Results Whole- and upper-body lean mass increased in the full cohort of skiers (n = 30; both P < 0.05), whereas lower-body lean mass, whole-body fat mass, speed and oxygen uptake (V˙O2) at a blood lactate concentration (BLa) of 2 and 4 mmol·L−1, as well as time-trial completion time, power output, and peak V˙O2, improved in the women only (all P < 0.05). Valid predictive models were identified for female skiers’ best FIS distance points (R2 = 0.81/Q2 = 0.51) and changes in FIS distance points (R2 = 0.83/Q2 = 0.54), with body mass, fat mass, lean mass, V˙O2peak, and speed at a BLa of 4 mmol·L−1 identified as consistently important variables for projection.

Conclusions The valid prediction of competitive performance was achieved for women only in distance events. This study suggests that improvements in body composition and aerobic capacity may be more beneficial for elite female development-level skiers than for their male counterparts. These results have implications for athlete selection and performance development.

Place, publisher, year, edition, pages
American collegeof sports medicine, 2021
Keywords
Athlete testing, FIS points, longitudinal monitoring, multivariate statistics, nordic, prediction
National Category
Sport and Fitness Sciences
Identifiers
urn:nbn:se:miun:diva-43896 (URN)10.1249/MSS.0000000000002739 (DOI)000754537400011 ()34649265 (PubMedID)2-s2.0-85119046140 (Scopus ID)
Available from: 2021-12-01 Created: 2021-12-01 Last updated: 2025-09-25Bibliographically approved
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