ORCID Profile
0000-0002-1591-8661
Current Organisation
Southern Cross University
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Publisher: SAGE Publications
Date: 24-03-2020
Abstract: Athletes’ optimal training progression can be supported by reliable and valid monitoring tools. This systematic review aims to investigate tools that have been most frequently in the field used by coaches and practitioners of sports of any level. PyscINFO, Scopus, MEDLINE and SPORTDiscus databases were searched. Search terms used include: overreaching, overtraining, recover, fatigue, overload, train monitor, athlete monitor, train monitor and coach, sport scientist, or performance coach. From the 1982 search results retrieved, seven articles met the inclusion criteria. The inclusion criteria required articles to be descriptive or observational studies on the training monitoring of athletes, be peer-reviewed, and in English. Physiological measures (e.g. heart rate) and measures of performance and workload (e.g. tests including sprints global positioning system variables) were most frequently used. Psychological self-reported questionnaires, such as ratings of perceived exertion and mood inventories, were also frequently used in the field. The results indicated that only a few biochemical measures (blood and urine analysis) were regularly used outside of a laboratory. Easily implemented measurements were more commonly used than more advanced ones, indicating that the tools valued by practitioners are those that are time efficient, easy to administer and are non-fatiguing and non-invasive. Knowing what tools are currently used in the field is the first step in knowing what is practical and usable for coaches in the field, where after coaches and practitioners collaborating with sport scientists can develop and implement tools that are both useable and easily administered.
Publisher: Sport and Exercise Science New Zealand
Date: 2021
Publisher: SAGE Publications
Date: 24-01-2022
DOI: 10.1177/17479541211070789
Abstract: Monitoring athletes’ training may help prevent negative consequences such as overtraining and burnout. However, acceptance or willingness of athletes to participate is a barrier to an effective training monitoring program. Educational strategies may potentially increase adherence. Therefore, our aims are to i) assess the impact of training monitoring education on adherence to a monitoring program ii) determine the effect of the education intervention on burnout, stress, and recovery, and iii) qualitatively investigate athlete perspectives of the education and training monitoring experience. Recreational athletes (18 male/17 female age = 42.6 ± 12.0) were randomised to either a control ( n = 19) or education ( n = 16) group and completed daily training monitoring through a smartphone application over 10 weeks. Pre-post assessments using the Athlete Burnout Questionnaire, the Acute Recovery Stress Scale, and a perceived knowledge of training monitoring questionnaire, and semi-structured interviews were performed. Adherence was low, with no differences between the control group ([mean ± SD] 43.0 ± 38.8%) and the education group (45.8 ± 36.7%). There were also no differences (p .05) between the groups on the standardised inventories. There was a significant effect of time (p .001) on participant's perceived understanding of training monitoring tools (scored out of 42) at the end of the washout period (Control: 24.4 ± 6.6 Education: 28.5 ± 5.6) and post-study (Control: 32.1 ± 7.5 Education: 35.1 ± 6.0) compared to the pre-study (Control: 21.5 ± 7.3 Education: 21.9 ± 7.7). Interviews revealed participants wanted more education on modifying their training, and feedback on their data. Our findings suggest this specific educational approach was not enough to increase adherence other aspects of education and in idual feedback needs to be further explored.
No related grants have been discovered for Hannah McGuigan.