1
|
DeBlauw JA, Stein JA, Blackman C, Haas M, Makle S, Echevarria I, Edmonds R, Ives SJ. Heart rate variability of elite female rowers in preparation for and during the national selection regattas: a pilot study on the relation to on water performance. Front Sports Act Living 2023; 5:1245788. [PMID: 37691642 PMCID: PMC10483281 DOI: 10.3389/fspor.2023.1245788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 08/08/2023] [Indexed: 09/12/2023] Open
Abstract
Elite athletes require a delicate balance of physiological and psychological stress and recovery-essential for achieving optimal performance. Monitoring heart rate variability (HRV) provides a non-invasive estimation of both physiological and psychological stress levels, offering potentially valuable insights into health, performance, and adaptability. Previous studies, primarily conducted on male participants, have shown an association between HRV and performance in the context of rowing training. However, given the rigorous nature of rowing training, it is crucial to investigate HRV in elite rowers, particularly during the U.S. national selection regattas (NSR). Purpose To comprehensively analyze elite female rowers, evaluating acute changes in HRV and subjective psychometrics during the NSR. Methods Five elite female rowers (26 ± 2 years, 180 ± 8 cm, 82 ± 8 kg, 19 ± 6%fat) were recruited and tracked prior to and during NSR I and II. Morning HRV measures were completed using photoplethysmography (HRV4training) along with self-reported levels of fatigue, soreness, rating of perceived exertion, mentally energy and physical condition. Results Significant decreases were observed in log transformed root-mean square of successive differences (LnRMSSD; p = 0.0014) and fatigue (p = 0.01) from pre-to-during NSR, while mental energy (p = 0.01), physical condition (p = 0.01), and motivation (p = 0.006) significantly increased. These psychometric measures returned to pre-NSR levels, at post-NSR (all p < 0.05), though HRV remained slightly suppressed. NSR on-water performance was not correlated to LnRMSSD or the change in LnRMSSD (p > 0.05). Discussion HRV and psychometric measures are sensitive to the stress of elite rowing competition in females. However, HRV was not associated with on-water rowing performance during an elite rowing competition.
Collapse
Affiliation(s)
- Justin A. DeBlauw
- Department of Health and Human Physiological Sciences, Skidmore College, Saratoga Springs, NY, United States
| | - Jesse A. Stein
- Oak Ridge Institute for Science and Education, Belcamp, MD, United States
- United States Army Research Institute of Environmental Medicine, Natick, MA, United States
| | - Carolyn Blackman
- Department of Health and Human Physiological Sciences, Skidmore College, Saratoga Springs, NY, United States
| | - Melissa Haas
- Department of Health and Human Physiological Sciences, Skidmore College, Saratoga Springs, NY, United States
| | - Seraya Makle
- Department of Health and Human Physiological Sciences, Skidmore College, Saratoga Springs, NY, United States
| | - Isis Echevarria
- Department of Health and Human Physiological Sciences, Skidmore College, Saratoga Springs, NY, United States
| | - Rohan Edmonds
- Department of Health Sciences, Macquarie University, Sydney, NSW, Australia
| | - Stephen J. Ives
- Department of Health and Human Physiological Sciences, Skidmore College, Saratoga Springs, NY, United States
| |
Collapse
|
2
|
Rial-Vázquez J, Nine I, Guerrero-Moreno JM, Rúa-Alonso M, Fariñas J, Márquez G, Giráldez-García MA, Méndez-Bouza KY, López-Pillado H, Coutado-Sánchez E, Losada-Rodríguez A, Iglesias-Soler E. Face Masks at the Gymnasium: Physiological Responses and Mechanical Performance Are Not Compromised by Wearing Surgical or Filtering Facepiece 2 Masks in Healthy Subjects. J Strength Cond Res 2023; 37:1404-1410. [PMID: 37347944 DOI: 10.1519/jsc.0000000000004401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/24/2023]
Abstract
ABSTRACT Rial-Vázquez, J, Nine, I, Guerrero-Moreno, JM, Rúa-Alonso, M, Fariñas, J, Márquez, G, Giráldez-García, MA, Méndez-Bouza, KY, López-Pillado, H, Coutado-Sánchez, E, Losada-Rodríguez, A, and Iglesias-Soler, E. Face masks at the gym: physiological responses and mechanical performance are not compromised by wearing surgical or filtering facepiece 2 masks in healthy subjects. J Strength Cond Res 37(7): 1404-1410, 2023-This study explored the effects of wearing 2 types of face masks on mechanical performance and physiological responses during high-intensity resistance exercise. Twelve healthy men performed 3 workout protocols in a randomized order: wearing a surgical or filtering facepiece 2 (FFP2) mask or without a mask. Each workout consisted of 3 sets of 10 repetitions of bench press (BP) and parallel squat (SQ) with a 12 repetition maximum load, including 2 minutes of recovery between sets and exercises. Mechanical performance was evaluated through the mean propulsive velocity and the number of repetitions completed during each session. Physiological responses were the oxygen saturation (SpO2), blood lactate concentration, heart rate (HR), and HR variability. Perceived exertion was recorded after each set, and The Beck Anxiety Inventory scale was completed at the end of each workout. The number of repetitions completed and the session mean propulsive velocity {(BP [m·s-1]: surgical: 0.35 ± 0.05; FFP2: 0.36 ± 0.04; nonmask: 0.38 ± 0.06) and (SQ: surgical: 0.43 ± 0.05; FFP2: 0.40 ± 0.07; nonmask: 0.41 ± 0.05)} were similar between conditions (p > 0.05). Heart rate recorded during sessions was similar across conditions: surgical: 119 ± 14, FFP2: 117 ± 13, and nonmask: 118 ± 10 bpm (p = 0.919). Face masks had no effect on SpO2, blood lactate concentration, HR variability, perceived exertion, and anxiety values (p > 0.05). Face masks do not compromise strength performance, physiological parameters, and perceived comfort of young and healthy individuals during a high-intensity resistance training session.
Collapse
Affiliation(s)
- Jessica Rial-Vázquez
- Performance and Health Group, Department of Physical Education and Sport, Faculty of Sports Sciences and Physical Education, University of A Coruna, A Coruña, Spain; and
| | - Iván Nine
- Performance and Health Group, Department of Physical Education and Sport, Faculty of Sports Sciences and Physical Education, University of A Coruna, A Coruña, Spain; and
| | - Jose María Guerrero-Moreno
- Performance and Health Group, Department of Physical Education and Sport, Faculty of Sports Sciences and Physical Education, University of A Coruna, A Coruña, Spain; and
| | - María Rúa-Alonso
- Performance and Health Group, Department of Physical Education and Sport, Faculty of Sports Sciences and Physical Education, University of A Coruna, A Coruña, Spain; and
| | - Juan Fariñas
- Performance and Health Group, Department of Physical Education and Sport, Faculty of Sports Sciences and Physical Education, University of A Coruna, A Coruña, Spain; and
| | - Gonzalo Márquez
- Faculty of Sports Sciences and Physical Education, University of A Coruna, A Coruña, Spain
| | - Manuel Avelino Giráldez-García
- Performance and Health Group, Department of Physical Education and Sport, Faculty of Sports Sciences and Physical Education, University of A Coruna, A Coruña, Spain; and
| | | | - Hugo López-Pillado
- Faculty of Sports Sciences and Physical Education, University of A Coruna, A Coruña, Spain
| | - Etham Coutado-Sánchez
- Faculty of Sports Sciences and Physical Education, University of A Coruna, A Coruña, Spain
| | | | - Eliseo Iglesias-Soler
- Performance and Health Group, Department of Physical Education and Sport, Faculty of Sports Sciences and Physical Education, University of A Coruna, A Coruña, Spain; and
| |
Collapse
|
3
|
Intraindividual Relationships Between Training Loads and Heart-Rate Variability in High-Level Female Futsal Players: A Longitudinal Study. Int J Sports Physiol Perform 2023; 18:306-312. [PMID: 36706763 DOI: 10.1123/ijspp.2021-0500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 11/16/2022] [Accepted: 11/16/2022] [Indexed: 01/29/2023]
Abstract
PURPOSE To investigate the internal training loads of a professional Spanish female futsal team throughout 26 weeks of training including preseason and in-season weeks and verify the impact of training period and/or training load magnitudes on heart-rate variability responses. Furthermore, we aimed to assess, intraindividually, the relationship between training load and the coefficient of variation (CV) of weekly natural log of the root mean square difference of successive normal interbeat (RR) intervals (lnRMSSDCV), obtained from ∼5 measures per week, and recorded in the seated position. METHODS A within-subject design involved 12 high-level outfield female futsal players (mean [SD] age: 23.9 [3.4] y). RESULTS lnRMSSD was significantly lower and lnRMSSDCV was significantly higher during the preseason (weeks 1-6) compared to in-season (weeks 7-26) (P < .001). Individually, players presented moderate to large negative correlations between lnRMSSDCV and lnRMSSD during the 26 weeks of observation. Correlations ranged between rplayer4 = -.41 (95% CI, -.69 to -.02) and rplayer12 = -.55 (-.78 to -.18). Players also presented moderate to very large positive correlations between lnRMSSDCV and session rating of perceived exertion. Correlations ranged between rplayer7 = .41 (.04 to .71) and rplayer1 = .71 (.45 to .86). CONCLUSION Professional female futsal players in this study presented increased lnRMSSD and reduced lnRMSSDCV during 20 weeks into the competitive season compared to 6 weeks of preseason. Furthermore, lnRMSSDCV was negatively associated with lnRMSSD on an intraindividual basis. Finally, higher internal training loads were positively correlated with lnRMSSDCV, indicating that heart-rate variability is responsive to weekly training loads.
Collapse
|
4
|
Acute Effects of a Single-Session of Full-Body Foam Rolling on Heart Rate Variability. Int J Ther Massage Bodywork 2022; 15:18-25. [PMCID: PMC9683995 DOI: 10.3822/ijtmb.v15i4.739] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Abstract
Background Self-myofascial release has been demonstrated to increase relaxation and improve blood flow, yet it is unknown if it can elicit an acute effect on heart rate variability (HRV). Purpose This study aimed to determine if a single-bout of foam rolling could increase parasympathetic activity as measured by HRV. Methods Twenty (20) participants volunteered and their baseline HRV was assessed using a finger sensor while lying supine, and then a second measure was recorded with them sitting upright with feet on the ground. This study utilized a practical HRV collection method designed for use in the field settings, and the data is recorded in arbitrary units (A.U.). Participants then oscillated on a closed-cell cylindrical foam roller using their body weight on the triceps surae, hamstrings, quadriceps, lumbar spine, and pectoral muscles each for 60 sec. Participants first massaged the right limb and then repeated on the matching muscle group on the left before continuing to the next region. Follow-up HRV measurements were recorded using the same procedures. Results Paired samples t tests assessing pre- and post-foam–rolling HRV measures in supine and seated positions revealed no difference between supine measures (p = .05, d = 0.21), nor the seated measures (p = .27, d = 0.17) among all participants. When sexes were analyzed separately, males showed a significant decrease in HRV in supine positions (p = .03, d = 0.33), but females did not (p = .55, d = 0.09). Conclusions The single bout of foam rolling on large muscle groups did not increase parasympathetic activity as hypothesized. Males and females responded differently in supine positions, but no difference was present in seated positions across sexes. The task of self-massage may have prevented the anticipated response from the massage. Further research should investigate if passive massage is more effective on HRV response.
Collapse
|
5
|
Flatt AA, Hornikel B, Nakamura FY, Esco MR. Effect of Competitive Status and Experience on Heart Rate Variability Profiles in Collegiate Sprint-Swimmers. J Strength Cond Res 2022; 36:2898-2904. [DOI: 10.1519/jsc.0000000000003992] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
|
6
|
Nishida M, Yamamoto K, Murata Y, Ichinose A, Shioda K. Exploring the Effect of Long Naps on Handball Performance and Heart Rate Variability. Sports Med Int Open 2021; 5:E73-E80. [PMID: 34541302 PMCID: PMC8443333 DOI: 10.1055/a-1551-8054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 07/12/2021] [Indexed: 12/02/2022] Open
Abstract
This study explored the effect of long naps on handball-related performance and assessed the role of the cardiac autonomic nervous system in this process. Eleven male collegiate handball players performed a repeated sequential trial consisting of a 20-m consecutive turnaround run, 10-m run with a load, and shooting the ball into a target. Participants were allocated randomly and sequentially to have a short (20 minutes) nap, long (60 minutes) nap, or no nap. The Pittsburgh Sleep Quality Index was used to assess regular sleep quality. Subjective sleepiness before and after napping was measured using the Karolinska Sleepiness Scale. Heart rate variability was recorded to assess cardiac autonomic nervous function during napping. The Pittsburgh Sleep Quality Index score was correlated with shot accuracy only after long naps (ρ=0.636, r=0.048). A negative correlation was observed between the root mean square of successive differences and average load run time (ρ=−0.929, p<0.001). Long napping was associated with a significant benefit on performance in athletes with poor sleep quality, implying a role of the autonomic nervous system in this regard. Our findings indicate the effect of sleep quality on the endurance and resistance of handball players.
Collapse
Affiliation(s)
- Masaki Nishida
- Faculty of Sport Sciences, Waseda University, Tokorozawa, Japan.,Sleep Research Institute, Waseda University, Shinjuku-ku, Japan
| | - Kei Yamamoto
- Faculty of Sport Sciences, Waseda University, Tokorozawa, Japan
| | - Yusuke Murata
- Faculty of Sport Sciences, Waseda University, Tokorozawa, Japan.,Sleep Research Institute, Waseda University, Shinjuku-ku, Japan
| | - Atsushi Ichinose
- Faculty of Sport Sciences, Waseda University, Tokorozawa, Japan.,Sleep Research Institute, Waseda University, Shinjuku-ku, Japan
| | - Kohei Shioda
- Sleep Research Institute, Waseda University, Shinjuku-ku, Japan.,Faculty of Human Sciences, Kanazawa Seiryo University, Kanazawa, Japan
| |
Collapse
|
7
|
Monitoring the Heart Rate Variability Responses to Training Loads in Competitive Swimmers Using a Smartphone Application and the Banister Impulse-Response Model. Int J Sports Physiol Perform 2021; 16:787-795. [PMID: 33561815 DOI: 10.1123/ijspp.2020-0201] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Revised: 06/01/2020] [Accepted: 07/06/2020] [Indexed: 11/18/2022]
Abstract
PURPOSE First, to examine whether heart rate variability (HRV) responses can be modeled effectively via the Banister impulse-response model when the session rating of perceived exertion (sRPE) alone, and in combination with subjective well-being measures, are utilized. Second, to describe seasonal HRV responses and their associations with changes in critical speed (CS) in competitive swimmers. METHODS A total of 10 highly trained swimmers collected daily 1-minute HRV recordings, sRPE training load, and subjective well-being scores via a novel smartphone application for 15 weeks. The impulse-response model was used to describe chronic root mean square of the successive differences (rMSSD) responses to training, with sRPE and subjective well-being measures used as systems inputs. Changes in CS were obtained from a 3-minute all-out test completed in weeks 1 and 14. RESULTS The level of agreement between predicted and actual HRV data was R2 = .66 (.25) when sRPE alone was used. Model fits improved in the range of 4% to 21% when different subjective well-being measures were combined with sRPE, representing trivial-to-moderate improvements. There were no significant differences in weekly group averages of log-transformed (Ln) rMSSD (P = .34) or HRV coefficient of variation of Ln rMSSD (P = .12); however, small-to-large changes (d = 0.21-1.46) were observed in these parameters throughout the season. Large correlations were observed between seasonal changes in HRV measures and CS (changes in averages of Ln rMSSD: r = .51, P = .13; changes in coefficient of variation of Ln rMSSD: r = -.68, P = .03). CONCLUSION The impulse-response model and data collected via a novel smartphone application can be used to model HRV responses to swimming training and nontraining-related stressors. Large relationships between seasonal changes in measured HRV parameters and CS provide further evidence for incorporating a HRV-guided training approach.
Collapse
|
8
|
Iizuka T, Ohiwa N, Atomi T, Shimizu M, Atomi Y. Morning Heart Rate Variability as an Indication of Fatigue Status in Badminton Players during a Training Camp. Sports (Basel) 2020; 8:sports8110147. [PMID: 33182645 PMCID: PMC7697084 DOI: 10.3390/sports8110147] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2020] [Revised: 11/02/2020] [Accepted: 11/09/2020] [Indexed: 01/21/2023] Open
Abstract
This study aimed to clarify whether changes in the fatigue status of elite athletes during a precompetition period could be evaluated using morning heart rate variability (HRV) indices. Eight Japanese National Badminton Team players (age, 23.0 ± 2.8 years) participated in this study. HRV and subjective fatigue were measured during the first (days 1–4: Phase 1) and the second half (days 5–8: Phase 2) of an 8-day national team training camp. The global and parasympathetic HRV indices were as follows: standard deviation of all R-R intervals (SDNN) (Phase 1, 87.5 ms; Phase 2, 104.3 ms; p < 0.05), root mean square of the successive R-R interval differences (RMSSD) (Phase 1, 66.6 ms; Phase 2, 103.6 ms; p < 0.05), and high-frequency component power (HF) (Phase 1, 1412.0 ms2; Phase 2, 3318.5 ms2; p < 0.05). All the aforementioned indices increased significantly from Phase 1 to Phase 2. Significant correlations were observed between the change in subjective fatigue and changes in SDNN, RMSSD, and HF (ρ = −0.80, p = 0.017; ρ = −0.77, p = 0.027; and ρ = −0.80, p = 0.017, respectively). Measuring morning HRV indices may be effective for objectively evaluating changes in the fatigue status of elite athletes during a precompetition period.
Collapse
Affiliation(s)
- Taro Iizuka
- Material Health Science Laboratory, Graduate School of Engineering, Tokyo University of Agriculture and Technology, Tokyo 184-8588, Japan; (T.I.); (M.S.)
- Nippon Badminton Association, Tokyo 160-0013, Japan
| | - Nao Ohiwa
- Department of Sports Research, Japan Institute of Sports Sciences, Tokyo 115-0056, Japan;
| | - Tomoaki Atomi
- Department of Physical Therapy, Faculty of Health Sciences, Kyorin University, Tokyo 181-8612, Japan;
| | - Miho Shimizu
- Material Health Science Laboratory, Graduate School of Engineering, Tokyo University of Agriculture and Technology, Tokyo 184-8588, Japan; (T.I.); (M.S.)
| | - Yoriko Atomi
- Material Health Science Laboratory, Graduate School of Engineering, Tokyo University of Agriculture and Technology, Tokyo 184-8588, Japan; (T.I.); (M.S.)
- Correspondence:
| |
Collapse
|
9
|
Simim MADM, Souza HDS, Cardoso Filho CA, Gianoni RLDS, Bezerra RR, Affonso HDO, Amadio AC, D’Almeida V, Serrão JC, Claudino JG. Sleep quality monitoring in individual sports athletes: parameters and definitions by systematic review. Sleep Sci 2020; 13:267-285. [PMID: 33564374 PMCID: PMC7856669 DOI: 10.5935/1984-0063.20200032] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2019] [Accepted: 06/22/2020] [Indexed: 12/26/2022] Open
Abstract
In the present review, we identify which instruments and parameters are used for sleep quality monitoring in individual sport athletes and which definitions were used for sleep quality parameters in this literature field. Systematic searches for articles reporting the qualitative markers related to sleep in team sport athletes were conducted in PubMed, Scopus and Web of Science online databases. The systematic review followed the Preferred Reporting Items for Systematic Reviews. The initial search returned 3316 articles. After the removal of duplicate articles, eligibility assessment, 75 studies were included in this systematic review. Our main findings were that the most widely used measurement instruments were Actigraphy (25%), Rating Likert Scales (16%) and Sleep Diary (13%). On sleep quality parameters (Sleep duration = 14%; Wake after sleep onset = 14%; Sleep Quality = 12%; Sleep Effciency = 11% and Sleep Latency = 9%), the main point is that there are different definitions for the same parameters in many cases reported in the literature. We conclude that the most widely used instruments for monitoring sleep quality were Actigraphy, Likert scales and Sleep diary. Moreover, the definitions of sleep parameters are inconsistent in the literature, hindering the understanding of the sleep-sport performance relationship.
Collapse
Affiliation(s)
- Mário Antônio de Moura Simim
- Federal University of Ceará, Institute of Physical Education and Sports - Fortaleza - Ceará - Brazil
- Federal University of Ceará, Master Program in Physioterapy and Functioning - Fortaleza - Ceará - Brazil
| | - Helton de Sá Souza
- Universidade Federal de São Paulo, Departamento de Psicobiologia - São Paulo -Brazil
- Centro Universitário de Volta Redonda - UniFOA, Curso de Educação Física - Volta Redonda - Rio de Janeiro - Brazil
| | | | - Rodrigo Luiz da Silva Gianoni
- Paulista University - UNIP
- LOAD CONTROL, Research and Development Department - Contagem - Minas Gerais - Brazil
- Peruíbe College - FPbe - UNISEPE
| | | | - Helvio de Oliveira Affonso
- Appto Physiology, Laboratory of Exercise, Nutrition and Sports Training, Espirito Santo - Vitoria - Espírito Santo - Brazil
- Vila Velha University, Pharmaceutical Sciences Graduate Program - Vila Velha - Espírito Santo - Brazil
| | - Alberto Carlos Amadio
- Universidade de São Paulo, School of Physical Education and Sport - Laboratory of Biomechanics- Brazil
| | - Vânia D’Almeida
- Universidade Federal de São Paulo, Departamento de Psicobiologia - São Paulo -Brazil
| | - Júlio Cerca Serrão
- Universidade de São Paulo, School of Physical Education and Sport - Laboratory of Biomechanics- Brazil
| | - João Gustavo Claudino
- Universidade de São Paulo, School of Physical Education and Sport - Laboratory of Biomechanics- Brazil
- LOAD CONTROL, Research and Development Department - Contagem - Minas Gerais - Brazil
| |
Collapse
|
10
|
Heart Rate Variability, Neuromuscular and Perceptual Recovery Following Resistance Training. Sports (Basel) 2019; 7:sports7100225. [PMID: 31635206 PMCID: PMC6835520 DOI: 10.3390/sports7100225] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2019] [Revised: 10/11/2019] [Accepted: 10/15/2019] [Indexed: 12/01/2022] Open
Abstract
We quantified associations between changes in heart rate variability (HRV), neuromuscular and perceptual recovery following intense resistance training (RT). Adult males (n = 10) with >1 year RT experience performed six sets to failure with 90% of 10 repetition maximum in the squat, bench press, and pull-down. Changes (∆) from pre- to immediately (IP), 24 and 48 h post-RT were calculated for neuromuscular performance markers (counter-movement jump peak power and mean concentric bench press and squat velocity with load corresponding to 1.0 m∙s−1) and perceived recovery and soreness scales. Post-waking natural logarithm of the root-mean square of successive differences (LnRMSSD) in supine and standing positions were recorded pre-RT (5 day baseline), IP and two mornings post-RT. All parameters worsened at IP (p < 0.05). LnRMSSD measures were not different from baseline by 24 h. Neuromuscular markers were not different from pre-RT by 48 h. Perceptual measures remained suppressed at 48 h. No significant associations among ∆ variables were observed (p = 0.052–0.978). These data show varying timeframes of recovery for HRV, neuromuscular and perceptual markers at the group and individual level. Thus, post-RT recovery testing should be specific and the status of one metric should not be used to infer that of another.
Collapse
|
11
|
Does Night Training Load Affect Sleep Patterns and Nocturnal Cardiac Autonomic Activity in High-Level Female Soccer Players? Int J Sports Physiol Perform 2019; 14:779–787. [PMID: 30569771 DOI: 10.1123/ijspp.2018-0652] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Purpose: To analyze whether exercise training conducted at night disturbs sleep and affects nocturnal cardiac autonomic control in high-level female athletes. Methods: A total of 18 high-level female soccer players (mean [SD] age 20.4 [2.1] y) wore actigraphs and heart-rate (HR) monitors during night sleep throughout night training days (n = 8) and resting days (n = 8), for 3 consecutive weeks. This was a longitudinal study that measured internal training load, sleep, nocturnal cardiac autonomic activity, and well-being ratings prior to training sessions. Results: Training load varied across training days (eg, training impulse range, mean [SD]; effect size, ES [95% confidence interval]: 72.9 [18.8] to 138.4 [29.6] a.u.; F4,62 = 32.331; ηp2=.673 [.001-.16], large effect; P < .001). However, no differences in subjective well-being ratings were observed, although ES was large. Total sleep time (training days vs resting days: 07:17 [00:47] h vs 07:51 [00:42] h; ES = 0.742 [0.59-0.92], P = .005; moderate effect) and sleep-onset time (00:58 [00:19] h vs 00:44 [00:16] h; ES = 0.802 [0.68-0.94], P = .001; moderate effect) were negatively affected after night training. In addition, small effects were detected for wake-up time, time in bed, and sleep latency (P > .05). No differences were detected in HR variability during sleep (range of lnRMSSD: 4.3 [0.4] to 4.5 [0.4] ln[ms] vs 4.6 [0.3] to 4.5 [0.4] ln[ms]; F3,52 = 2.148; P > .05; ηp2=.112 [.01-.25], medium effect), but HR during sleep was significantly higher after training days (range of HR: 56 [4] to 63 [7] beats/min vs 54 [4] to 57 [6] beats/min; F2,32 = 15.956; P < .001; ηp2=.484 [.20-.63], large effect). Conclusion: Overall, the results indicate that exercise training conducted at night may disturb sleep and affect HR, whereas limited effects can be expected in HR variability assessed during sleep in high-level female soccer players.
Collapse
|
12
|
Flatt AA, Wilkerson GB, Allen JR, Keith CM, Esco MR. Daily Heart Rate Variability before and after Concussion in an American College Football Player. Sports (Basel) 2019; 7:sports7050097. [PMID: 31035597 PMCID: PMC6572754 DOI: 10.3390/sports7050097] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2019] [Revised: 04/20/2019] [Accepted: 04/25/2019] [Indexed: 11/19/2022] Open
Abstract
This case report demonstrates the effects of sport-related concussion (SRC) on heart rate variability (HRV) in an American college football player. Daily measures of resting, ultra-short natural logarithm of the root mean square of successive differences (LnRMSSD), subjective wellbeing, and Player Load were obtained each training day throughout a 4-week spring camp and 4 weeks of preseason training. SRC occurred within the first 2 weeks of the preseason. During spring camp and preseason pre-SRC, the athlete demonstrated minimal day-to-day fluctuations in LnRMSSD, which increased post-SRC (LnRMSSD coefficient of variation pre-SRC ≤ 3.1%, post-SRC = 5.8%). Moderate decrements in daily-averaged LnRMSSD were observed post-SRC relative to pre-SRC (Effect Size ± 90% Confidence Interval = −1.12 ± 0.80), and the 7-day rolling average fell below the smallest worthwhile change for the remainder of the preseason. LnRMSSD responses to SRC appeared similar to trends associated with stress and training fatigue. Therefore, performance and sports medicine staff should maintain regular communication regarding player injury and fatigue status so that HRV can be interpreted in the appropriate context. Detection and monitoring of autonomic dysregulation post-SRC may require near-daily assessment, as LnRMSSD showed greater daily fluctuations rather than chronic suppression following the head injury.
Collapse
Affiliation(s)
- Andrew A Flatt
- Georgia Southern University, Department of Health Sciences and Kinesiology, Biodynamics and Human Performance Center, 11935 Abercorn, St. Savannah, GA 31419, USA.
- Department of Kinesiology, Exercise Physiology Laboratory, University of Alabama, Tuscaloosa, AL 35487, USA.
| | - Gary B Wilkerson
- Graduate Athletic Training Program, University of Tennessee at Chattanooga, Chattanooga, TN 37403, USA.
| | - Jeff R Allen
- Department of Athletics, Sports Medicine, University of Alabama, Tuscaloosa, AL 35487, USA.
| | - Clay M Keith
- Department of Athletics, Sports Medicine, University of Alabama, Tuscaloosa, AL 35487, USA.
| | - Michael R Esco
- Department of Kinesiology, Exercise Physiology Laboratory, University of Alabama, Tuscaloosa, AL 35487, USA.
| |
Collapse
|
13
|
Tibana RA, Sousa NMFD, Prestes J, Feito Y, Ferreira CE, Voltarelli FA. Monitoring Training Load, Well-Being, Heart Rate Variability, and Competitive Performance of a Functional-Fitness Female Athlete: A Case Study. Sports (Basel) 2019; 7:sports7020035. [PMID: 30744103 PMCID: PMC6409702 DOI: 10.3390/sports7020035] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Revised: 01/29/2019] [Accepted: 02/08/2019] [Indexed: 11/16/2022] Open
Abstract
The aim of this case study was to quantify the magnitude of internal load, acute/chronic workload ratio (ACWR), well-being perception, and heart rate variability (HRV) following 38 weeks of functional-fitness training in a female elite athlete. The internal load was obtained with session rating perceived exertion (session-RPE) while the ACWR was calculated by dividing the acute workload by the chronic workload (four-week average). Furthermore, HRV measurements were analyzed via a commercially available smartphone (HRV4training) each morning upon waking whilst in a supine position. The magnitude of internal load was: the weekly mean total during the 38 weeks was 2092 ± 861 arbitrary units (AU); during the preparation for the Open 2018 was 1973 ± 711 AU; during the Open 2018 it was 1686 ± 412 AU; and during the preparation for the Regionals was 3174 ± 595 AU. The mean ACWR was 1.1 ± 0.5 and 50% of the weeks were outside of the 'safe zone'. The well-being during the 38 weeks of training was 19.4 ± 2.3 points. There were no correlations between training load variables (weekly training load, monotony, ACWR, and HRV), and recuperation subjective variables (well-being, fatigue, sleep, pain, stress, and mood). This case study showed that the training load can be varied in accordance with preparation for a specific competition and ACWR revealed that 50% of the training weeks were outside of the 'safe zone', however, no injuries were reported by the athlete. The effectiveness and cost of these methods are very practical during real world functional-fitness.
Collapse
Affiliation(s)
| | | | - Jonato Prestes
- Graduation Program on Physical Education, Catholic University of Brasilia, Brasilia 04534, DF, Brazil.
| | - Yuri Feito
- Department of Exercise Science and Sport Management, Kennesaw State University, Kennesaw, GA 30144, USA.
| | - Carlos Ernesto Ferreira
- Graduation Program on Physical Education, Catholic University of Brasilia, Brasilia 04534, DF, Brazil.
| | | |
Collapse
|
14
|
Laborde S, Hosang T, Mosley E, Dosseville F. Influence of a 30-Day Slow-Paced Breathing Intervention Compared to Social Media Use on Subjective Sleep Quality and Cardiac Vagal Activity. J Clin Med 2019; 8:jcm8020193. [PMID: 30736268 PMCID: PMC6406675 DOI: 10.3390/jcm8020193] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2018] [Revised: 01/18/2019] [Accepted: 02/02/2019] [Indexed: 12/17/2022] Open
Abstract
Breathing techniques are part of traditional relaxation methods; however, their influence on psychophysiological variables related to sleep is still unclear. Consequently, the aim of this paper was to investigate the influence of a 30-day slow-paced breathing intervention compared to social media use on subjective sleep quality and cardiac vagal activity (CVA, operationalized via high-frequency heart rate variability). Healthy participants (n = 64, 33 male, 31 female, M = 22.11, SD = 3.12) were randomly allocated to an experimental or control group. In the experimental group, they had to perform slow-paced breathing for 15 min each evening across a 30-day period. This was administered through a smartphone application. The control group used social media (e.g., Facebook, Instagram, Whatsapp) for the same duration. The night before and after the intervention, their CVA was assessed via a light portable Electrocardiogram (ECG) device, and they had to fill out the Pittsburgh Sleep Quality Index questionnaire. Results showed that in comparison to the use of social media, the slow-paced breathing technique improved subjective sleep quality and increased overnight CVA, while a tendency was observed for morning awakening CVA. Slow-paced breathing appears a promising cost-effective technique to improve subjective sleep quality and cardiovascular function during sleep in young healthy individuals.
Collapse
Affiliation(s)
- Sylvain Laborde
- Department of Performance Psychology, German Sport University Cologne, Institute of Psychology, 50933 Cologne, Germany.
- Université de Caen Normandie-UFR STAPS, EA 4260 Caen, France.
| | - Thomas Hosang
- Department of Psychology, Helmut Schmidt University, 22043 Hambourg, Germany.
- University of the Federal Armed Forces Hambourg, 22043 Hamburg, Germany.
| | - Emma Mosley
- Solent University Southampton, Southampton SO14 0YN, UK.
| | | |
Collapse
|