The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Monitoring training status with HR measures: do all roads lead to Rome?
Open accessAbstract
Measures of resting, exercise, and recovery heart rate are receiving increasing interest for monitoring fatigue, fitness and endurance performance responses, which has direct implications for adjusting training load (1) daily during specific training blocks and (2) throughout the competitive season. However, these measures are still not widely implemented to monitor athletes' responses to training load, probably because of apparent contradictory findings in the literature. In this review I contend that most of the contradictory findings are related to methodological inconsistencies and/or misinterpretation of the data rather than to limitations of heart rate measures to accurately inform on training status. I also provide evidence that measures derived from 5-min (almost daily) recordings of resting (indices capturing beat-to-beat changes in heart rate, reflecting cardiac parasympathetic activity) and submaximal exercise (30- to 60-s average) heart rate are likely the most useful monitoring tools. For appropriate interpretation at the individual level, changes in a given measure should be interpreted by taking into account the error of measurement and the smallest important change of the measure, as well as the training context (training phase, load, and intensity distribution). The decision to use a given measure should be based upon the level of information that is required by the athlete, the marker's sensitivity to changes in training status and the practical constrains required for the measurements. However, measures of heart rate cannot inform on all aspects of wellness, fatigue, and performance, so their use in combination with daily training logs, psychometric questionnaires and non-invasive, cost-effective performance tests such as a countermovement jump may offer a complete solution to monitor training status in athletes participating in aerobic-oriented sports.
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Citations
Cites
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“…their training load, there are today various tools and methods, such as the monitoring of saliva and specific blood variables (Heisterberg et al., 2013; Meeusen et al., 2013), or the use of psychometric questionnaires (Hooper and Mackinnon, 1995; Borresen and Lambert, 2009; Buchheit et al., 2013a).”
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Self-citationHeart rate variability during night sleep and after awakening in overtrained athletes
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Cited by
Mann, T. N., Lamberts, R. P., & Lambert, M. I. (2014) · Sports Medicine · doi:10.1007/s40279-014-0197-3 · Cited by 379
Schaffarczyk, M., Rogers, B., Reer, R., & Gronwald, T. (2022) · Sensors · doi:10.3390/s22176536 · Cited by 349
Monitoring Fatigue Status in Elite Team-Sport Athletes: Implications for Practice
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Fiber Bragg Grating Sensors for Cardiorespiratory Monitoring: A Review
Massaroni, C., Zaltieri, M., Lo Presti, D., Nicolo, A., Tosi, D., & Schena, E. (2021) · IEEE Sensors Journal · doi:10.1109/jsen.2020.2988692 · Cited by 128
The soccer season: performance variations and evolutionary trends
Silva, J. R. (2022) · PeerJ · doi:10.7717/peerj.14082 · Cited by 55
“…HR measures make these measures an important parameter for frequent, time-efficient, and non-exhaustive testing of intermittent exercise capacity of high-level soccer players (Altmann et al., 2021; Buchheit, 2014; Buchheit, Simpson & Lacome, 2020; Ingebrigtsen et al., 2013a; Rago et al., 2020).”
Background
Metadata
- Authors
- Buchheit, M.
- Venue
- Frontiers in Physiology
- Publisher
- Frontiers Media SA
- Published
- 2014
- Volume
- 5
- Pages
- 73-73
- ISSN
- 1664-042X (ISSN-L)
- OpenAlex
- W2137418727
- Cited by
- 879
- References
- 16
- FWCI
- 46.39
- Type
- journal article
- Language
- en
- Open access
- gold
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