Search

Your search keyword '"DeBlauw, Justin A."' showing total 49 results
Start Over Author "DeBlauw, Justin A."
49 results on '"DeBlauw, Justin A."'

4. Heart Rate Variability Applications in Strength and Conditioning: A Narrative Review

Author

Addleman, Jennifer, Lackey, Nicholas, DeBlauw, Justin, Hajduczok, Alexander, Addleman, Jennifer, Lackey, Nicholas, DeBlauw, Justin, and Hajduczok, Alexander

Abstract

Heart rate variability (HRV) is defined as the fluctuation of time intervals between adjacent heartbeats and is commonly used as a surrogate measure of autonomic function. HRV has become an increasingly measured variable by wearable technology for use in fitness and sport applications. However, with its increased use, a gap has arisen between the research and the application of this technology in strength and conditioning. The goal of this narrative literature review is to discuss current evidence and propose preliminary guidelines regarding the application of HRV in strength and conditioning. A literature review was conducted searching for HRV and strength and conditioning, aiming to focus on studies with time-domain measurements. Studies suggest that HRV is a helpful metric to assess training status, adaptability, and recovery after a training program. Although reduced HRV may be a sign of overreaching and/or overtraining syndrome, it may not be a sensitive marker in aerobic-trained athletes and therefore has different utilities for different athletic populations. There is likely utility to HRV-guided programming compared to predefined programming in several types of training. Evidence-based preliminary guidelines for the application of HRV in strength and conditioning are discussed. This is an evolving area of research, and more data are needed to evaluate the best practices for applying HRV in strength and conditioning.

Published
2024

5. Limb, sex, but not acute dietary capsaicin, modulate the near‐infrared spectroscopy‐vascular occlusion test estimate of muscle metabolism

Author

Greaves, Lauren M., primary, Zaleski, Kendall S., additional, Matias, Alexs A., additional, Gyampo, Abena O., additional, Giuriato, Gaia, additional, Lynch, Meaghan, additional, Lora, Brian, additional, Tomasi, Tawn, additional, Basso, Emma, additional, Finegan, Emma, additional, Schickler, Jack, additional, Venturelli, Massimo, additional, DeBlauw, Justin A., additional, Shostak, Elena, additional, Blum, Oliver E., additional, and Ives, Stephen J., additional

Published
2024
Full Text
View/download PDF

6. Environmental exposure to wildfire smoke may reduce microvascular oxygenation during graded handgrip exercise: A case series.

Author

Blum, Oliver E., DeBlauw, Justin A., Greaves, Lauren M., Shostak, Elena S., and Ives, Stephen J.

Subjects
*ENVIRONMENTAL exposure, *NEAR infrared spectroscopy, *AIR quality, *MYOCARDIAL infarction, *WILDFIRES, *OXYGEN in the blood
Abstract

Wildfire smoke (WFS) is an urgent and rapidly growing threat to global health. Aside from obvious threats to pulmonary function, increases in cardiac abnormalities or myocardial infarction have been documented during WF season, but little is known about the effects of WFS on cardiovascular health. We investigated the effect of nonoccupational WFS exposure on cardiovascular and pulmonary function at rest and during graded handgrip exercise through a case series of young, healthy adults (n = 4, 25 ± 6 years) assessed after ≥3 days of bad or good air quality. Peripheral and estimated central blood pressures, vascular stiffness, and microvascular function (Near infrared spectroscopy, NIRS) were assessed at rest, and during rhythmic handgrip exercise. WFS did not appear to alter resting peripheral, central BP, or vascular stiffness (all, p > 0.05). Slope 1 and slope 2 from the NIRS‐vascular occlusion test (NIRS‐VOT) were not different between conditions (p > 0.05). The change in SmO2 during exercise was lower (p = 0.02, ηp2$$ {\eta}_{\mathrm{p}}^2 $$ = 0.62) with bad air quality. These preliminary findings suggest modest effects of environmental WFS exposure on muscle microvascular function during exercise in healthy adults. Future work is needed to elucidate the physiological changes with WFS exposure and the increased risk of cardiovascular events, perhaps exacerbated through physical activity. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

20. Exploring the Bob Ross Effect: A Psychophysiological Investigation

Author

Shostak, Elena, primary, Yusuf, Farouq, additional, Schabes, Noa, additional, Lora, Brian, additional, Churchill, Anna, additional, Farzansyed, Maleeha, additional, Makle, Seraya, additional, White, Megan, additional, Greaves, Lauren, additional, Blum, Oliver, additional, DeBlauw, Justin, additional, and Ives, Stephen, additional

Published
2023
Full Text
View/download PDF

22. Anthropometrics and body composition predict performance during a simulated direct-fire engagement.

Author

Stein, Jesse A., Hepler, Timothy C., DeBlauw, Justin A., Beattie, Cassandra M., Beshirs, Chaddrick D., Holte, Kendra M., Kurtz, Brady K., Hatch-McChesney, Adrienne, Heinrich, Katie M., and Farina, Emily K.

Subjects
MILITARY education, BODY composition, EXPERIMENTAL design, ANTHROPOMETRY, SIMULATION methods in education, PSYCHOLOGY of movement, COGNITION, ABILITY, BODY movement, VISUAL acuity, RESEARCH funding, BODY mass index, FIRES, MILITARY personnel
Abstract

This study determined anthropometric and body composition predictors of performance during a simulated direct-fire engagement. Healthy subjects (N = 33, age = 25.7 ± 7.0 yr) underwent anthropometric and body composition assessments before completing a simulated direct-fire engagement – consisting of marksmanship with cognitive workload assessment and a fire-and-move drill (16 × 6-m sprints) while wearing combat load. Susceptibility to enemy fire was modelled on sprint duration. Partial correlations and multiple linear regressions established the relationships between predictors and performance outcomes, controlling for age and sex. Significance was p ≤ 0.05. Higher percent body fat, fat mass, fight load index predicted greater susceptibility to enemy fire (r = 0.40 to 0.42) and lower cognitive performance (r= -0.45 to −0.49). Higher BMI also predicted lower cognitive performance (r= -0.49). Shorter stature/hand length predicted higher marksmanship accuracy (r= -0.40), while higher fat-free mass/fat-free mass index predicted slower reaction times (r = 0.36–0.41). These data suggest anthropometric and body composition measures modulate combat effectiveness and reinforce body composition standards in military organisations. Practitioner summary: This study identified field-expedient anthropometric and body composition predictors of a simulated direct-fire engagement that evaluated survivability (i.e. susceptibility to enemy fire) and lethality (i.e. marksmanship, cognitive performance) outcomes. Our findings suggest that anthropometric and body composition measures may play a role in soldier survivability and lethality during simulated direct-fire engagements. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

27. Anticipatory anxiety, familiarization, and performance: finding the sweet spot to optimize high-quality data collection and minimize subject burden

Author

Streetman, Aspen E., Lewis, Aidan K., Rogers, Elizabeth L., Heinrich, Katie M., DeBlauw, Justin A., Streetman, Aspen E., Lewis, Aidan K., Rogers, Elizabeth L., Heinrich, Katie M., and DeBlauw, Justin A.

Abstract

Accurate baseline data are essential for researchers to determine an intervention’s effects yet may be affected by anticipatory anxiety and assessment familiarity. Familiarization sessions help establish accurate baseline data. High-intensity functional training (HIFT) elicits performance outcomes based on constantly varied workouts. It is unclear how familiarization affects anticipatory anxiety and workout performance among HIFT novices. Familiarization was hypothesized to decrease anxiety and improve workout performance. Sixteen college-aged subjects (62.5% women, 20.2 ± 1.14 years) completed one introductory and four sessions of the same workout. All subjects were recreationally trained with no HIFT experience. State and trait anxiety were assessed at the first session. During the workout sessions, state anxiety (SQALS) was assessed upon arrival at the gym (SQALS 1), after learning the workout protocol (SQALS 2), and when the workout concluded (SQALS 3). A significant main effect of the number of previous sessions on workout performance was observed (p = 0.011). A repeated-measures ANOVA showed a main effect of time on SQALS 1 (p < 0.001), SQALS 2 (p < 0.001), and SQALS 3 (p < 0.001). Our results suggest implementing two familiarization sessions for our HIFT-based workout was sufficient to decrease anxiety and establish a baseline measurement. Future research should examine if this remains true for other types of HIFT-based workouts.

Published
2022

28. Commentaries on Viewpoint: Using V̇o2max as a marker of training status in athletes - can we do better?

Author

Valenzuela, Pedro L, Mateo-March, Manuel, Muriel, Xabier, Zabala, Mikel, Lucia, Alejandro, Barranco-Gil, David, Millet, Grégoire P, Brocherie, Franck, Burtscher, Johannes, Burtscher, Martin, Ryan, Benjamin J, Gioscia-Ryan, Rachel A, Perrey, Stephane, Rodrigo-Carranza, Víctor, González-Mohíno, Fernando, González-Ravé, José María, Santos-Concejero, Jordan, Denadai, Benedito S, Greco, Camila C, Casado, Arturo, Foster, Carl, Mazzolari, Raffaele, Baldrighi, Giulia Nicole, Pastorio, Elisa, Malatesta, Davide, Patoz, Aurélien, Borrani, Fabio, Ives, Stephen J, DeBlauw, Justin A, Dantas de Lucas, Ricardo, Borszcz, Fernando Klitzke, Fernandes Nascimento, Eduardo Marcel, Antonacci Guglielmo, Luiz Guilherme, Turnes, Tiago, Jaspers, Richard T, van der Zwaard, Stephan, Lepers, Romuald, Louis, Julien, Meireles, Anderson, de Souza, Hiago L. R., de Oliveira, Géssyca T, dos Santos, Marcelo P, Arriel, Rhaí A, Marocolo, Moacir, Hunter, B, Meyler, S, Muniz-Pumares, D, Ferreira, Renato M, Sogard, Abigail S, Carter, Stephen J, Mickleborough, Timothy D, Saborosa, Guilherme Pereira, de Oliveira Freitas, Raphael Dinalli, Alves dos Santos, Paula Souza, de Souza Ferreira, João Pedro, de Assis Manoel, Francisco, da Silva, Sandro Fernandes, Triska, Christoph, Karsten, Bettina, Sanders, Dajo, Lipksi, Elliot S, Spindler, David J, Hesselink, Matthijs K. C., Zacca, Rodrigo, Goethel, Márcio Fagundes, Pyne, David Bruce, Wood, Brayden M, Allen, Peyton E, Gabelhausen, Jaden L, Keller, Alexandra M, Lige, Mast T, Oumsang, Alicia S, Smart, Greg L, Paris, Hunter L, Dewolf, Arthur H, Toffoli, Guillaume, Martinez-Gonzalez, Borja, Marcora, Samuele M, Terson de Paleville, Daniela, Fernandes, Ricardo J, Soares, Susana M, Abraldes, J. Arturo, Matta, Guilherme, Bossi, Arthur Henrique, McCarthy, D G, Bostad, W, Gibala, J, Vagula, Mary, Valenzuela, Pedro L, Mateo-March, Manuel, Muriel, Xabier, Zabala, Mikel, Lucia, Alejandro, Barranco-Gil, David, Millet, Grégoire P, Brocherie, Franck, Burtscher, Johannes, Burtscher, Martin, Ryan, Benjamin J, Gioscia-Ryan, Rachel A, Perrey, Stephane, Rodrigo-Carranza, Víctor, González-Mohíno, Fernando, González-Ravé, José María, Santos-Concejero, Jordan, Denadai, Benedito S, Greco, Camila C, Casado, Arturo, Foster, Carl, Mazzolari, Raffaele, Baldrighi, Giulia Nicole, Pastorio, Elisa, Malatesta, Davide, Patoz, Aurélien, Borrani, Fabio, Ives, Stephen J, DeBlauw, Justin A, Dantas de Lucas, Ricardo, Borszcz, Fernando Klitzke, Fernandes Nascimento, Eduardo Marcel, Antonacci Guglielmo, Luiz Guilherme, Turnes, Tiago, Jaspers, Richard T, van der Zwaard, Stephan, Lepers, Romuald, Louis, Julien, Meireles, Anderson, de Souza, Hiago L. R., de Oliveira, Géssyca T, dos Santos, Marcelo P, Arriel, Rhaí A, Marocolo, Moacir, Hunter, B, Meyler, S, Muniz-Pumares, D, Ferreira, Renato M, Sogard, Abigail S, Carter, Stephen J, Mickleborough, Timothy D, Saborosa, Guilherme Pereira, de Oliveira Freitas, Raphael Dinalli, Alves dos Santos, Paula Souza, de Souza Ferreira, João Pedro, de Assis Manoel, Francisco, da Silva, Sandro Fernandes, Triska, Christoph, Karsten, Bettina, Sanders, Dajo, Lipksi, Elliot S, Spindler, David J, Hesselink, Matthijs K. C., Zacca, Rodrigo, Goethel, Márcio Fagundes, Pyne, David Bruce, Wood, Brayden M, Allen, Peyton E, Gabelhausen, Jaden L, Keller, Alexandra M, Lige, Mast T, Oumsang, Alicia S, Smart, Greg L, Paris, Hunter L, Dewolf, Arthur H, Toffoli, Guillaume, Martinez-Gonzalez, Borja, Marcora, Samuele M, Terson de Paleville, Daniela, Fernandes, Ricardo J, Soares, Susana M, Abraldes, J. Arturo, Matta, Guilherme, Bossi, Arthur Henrique, McCarthy, D G, Bostad, W, Gibala, J, and Vagula, Mary

Published
2022
Full Text
View/download PDF

34. Evaluating the Clinical Utility of Daily Heart Rate Variability Assessment for Classifying Meaningful Change in Testosterone-to-Cortisol Ratio: A Preliminary Study

Author

DeBlauw, Justin A., Crawford, Derek A., Kurtz, Brady K., Drake, Nicholas B., and Heinrich, Katie M.

Subjects
Original Research
Abstract

The study purpose was to determine the relationship of resting heart rate variability (HRV) and testosterone to cortisol (T:C) ratio, along with the diagnostic ability of HRV to assess changes in T:C ratio during a 9-week high-intensity functional training intervention. Eight recreationally-active men (n = 4, age 24.25 ± 1.75 yrs, height 181.25 ± 3.86 cm, weight 79.68 ± 11.66 kg) and women (n = 4, age 26 ± 3.6 yrs, height 164.25 ± 3.3, weight 73.4 ± 8.42) completed daily HRV measurements (HRVdaily) using photoplethysmography via a commercially-available smartphone application along with weekly saliva samples. Saliva samples were analyzed for concentrations of testosterone (T) and cortisol (C) via enzyme-linked immunosorbent assays. Upon study completion 72 data points were available, due to participant compliance and inadequate saliva sample, 67 matched pairs of HRV and T:C ratio were analyzed. A statistically significant negative relationship (n = 67, r = −.315, p < 0.05) was found between HRVdaily and saliva T:C ratio concentrations within aggregate data. Individual participant relationships showed considerable variability (r = −0.101 – 0.665, p = 0.103 to 0.829 The model which best explained the data resulted in AIC = 130.247 with factors HRVdaily (β = −0.218, 95%CI = −0.391, −0.044, t = −2.46, p < 0.05), Sex (β = 0.450, 95%CI = −0.214, 1.114, t = 1.113, p = 0.242), and Group (β = −0.394, 95%CI = −1.089, 0.302, t = −1.11, p = 0.311). Diagnostically, HRVdaily demonstrates excellent sensitivity (95%), but poor specificity (5%) for detecting meaningful changes in T:C ratio. Assessment of HRVdaily may be a clinically valid proxy measure for monitoring hormonal changes throughout a training intervention.

Published
2021

41. Technological advances in sport are an evolving line.

Author

Ives, Stephen J. and DeBlauw, Justin A.

Subjects
AEROBIC capacity, RUNNING speed, HEART beat, LONG-distance running, TECHNOLOGICAL innovations
Abstract

The article discusses the issue of technological advances in sports, specifically focusing on the authors' argument that these advances are too narrowly focused on standardized running distances. The authors point out that world records have been broken in other sports that are not directly influenced by technology but rather by technique. They also mention that governing bodies in sports like rowing have rules in place to ensure equitable access to new equipment. The article suggests that technological advances are not the sole factor in performance changes and that other factors such as nutrition and training also play a significant role. [Extracted from the article]

Published
2024
Full Text
View/download PDF

48. Commentaries on Viewpoint: Hoping for the best, prepared for the worst: can we perform remote data collection in sport sciences?

Author

Louis J, Bennett S, Owens DJ, Tiollier E, Brocherie F, Carneiro MAS, Nunes PRP, Costa B, Castro-e-Souza P, Lima LA, Lisboa F, Oliveira-Júnior G, Kassiano W, Cyrino ES, Orsatti FL, Bossi, Matta G, Tolomeu de Oliveira G, Renato Melo F, Rocha Soares E, Ocelli Ungheri B, Daros Pinto M, Nuzzo JL, Latella C, van den Hoek D, Mallard A, Spathis J, DeBlauw JA, Ives SJ, Ravanelli N, Narang BJ, Debevec T, Baptista LC, Padrão AI, Oliveira J, Mota J, Zacca R, Nikolaidis PT, Lott DJ, Forbes SC, Cooke K, Taivassalo T, Elmer SJ, Durocher JJ, Fernandes RJ, Silva G, and Costa MJ

Subjects
Data Collection, Sports
Published
2022
Full Text
View/download PDF

49. Commentaries on Viewpoint: Using V̇o 2max as a marker of training status in athletes - can we do better?

Author

Valenzuela PL, Mateo-March M, Muriel X, Zabala M, Lucia A, Barranco-Gil D, Millet GP, Brocherie F, Burtscher J, Burtscher M, Ryan BJ, Gioscia-Ryan RA, Perrey S, Rodrigo-Carranza V, González-Mohíno F, González-Ravé JM, Santos-Concejero J, Denadai BS, Greco CC, Casado A, Foster C, Mazzolari R, Baldrighi GN, Pastorio E, Malatesta D, Patoz A, Borrani F, Ives SJ, DeBlauw JA, Dantas de Lucas R, Borszcz FK, Fernandes Nascimento EM, Antonacci Guglielmo LG, Turnes T, Jaspers RT, van der Zwaard S, Lepers R, Louis J, Meireles A, de Souza HLR, de Oliveira GT, dos Santos MP, Arriel RA, Marocolo M, Hunter B, Meyler S, Muniz-Pumares D, Ferreira RM, Sogard AS, Carter SJ, Mickleborough TD, Saborosa GP, de Oliveira Freitas RD, Alves dos Santos PS, de Souza Ferreira JP, de Assis Manoel F, da Silva SF, Triska C, Karsten B, Sanders D, Lipksi ES, Spindler DJ, Hesselink MKC, Zacca R, Goethel MF, Pyne DB, Wood BM, Allen PE, Gabelhausen JL, Keller AM, Lige MT, Oumsang AS, Smart GL, Paris HL, Dewolf AH, Toffoli G, Martinez-Gonzalez B, Marcora SM, Terson de Paleville D, Fernandes RJ, Soares SM, Abraldes JA, Matta G, Bossi AH, McCarthy DG, Bostad W, Gibala J, and Vagula M

Subjects
Humans, Athletes, Physical Endurance
Published
2022
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results