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Zifchock R, Silder A, Murphy R, Duong T, Sessoms P, Jones D. Effect of Cold vs Temperate Conditions on Physical Performance During Extended Mountain Warfare Training at Moderate Altitude. Mil Med 2024:usae329. [PMID: 38935393 DOI: 10.1093/milmed/usae329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 05/28/2024] [Accepted: 06/18/2024] [Indexed: 06/28/2024] Open
Abstract
INTRODUCTION The purpose of this study was to investigate the effect of environmental conditions on body composition, upper body power, and lower body power throughout a ∼4-week military mountain training exercise. We hypothesized that countermovement jump and ballistic push-up performance would decrease as a result of extended mountain field training and that winter (cold) conditions would result in greater decrements compared to fall (temperate) conditions. We also expected to observe a strong positive correlation between changes in performance and changes in skeletal muscle mass. Finally, we expected acute changes in performance upon altitude exposure. MATERIALS AND METHODS A total of 111 U.S. Infantry Marines (110 M; 1 F) provided written informed consent to participate in this study according to a protocol approved by the Naval Health Research Center. There were 54 participants in the fall cohort and 57 in the winter cohort. Maximum effort countermovement jump and ballistic push-up performance were assessed at different timepoints: (1) baseline at the sea level, (2) before training at ∼2100 m, (3) midpoint of training at ∼2100 m, (4) end of training at ∼2100 m, and (5) after 3 to 4 weeks of recovery at the sea level. The fall cohort trained at moderate temperatures (average day/night, 20°C/3°C), whereas the winter cohort trained under snowy winter conditions (7°C/-14°C). RESULTS The results suggested that seasonal conditions did not significantly affect changes in body composition or physical performance. Furthermore, no acute effects of altitude on physical performance were detected. Training exercise did, however, cause performance decrements in countermovement jump height, countermovement jump peak power, and ballistic push-up height. Repeated measure correlation analyses suggested that there was a weak positive correlation between the decrease in skeletal muscle mass and the decrease in countermovement jump peak power throughout the training. CONCLUSIONS The results of our study suggest that explosive movements are negatively affected by extended military training, seemingly independent of environmental training conditions or temperature. Planning and execution of military training should account for the likelihood that warfighter physical power will decline and may not return to pretraining levels within the month following the training event. It may also be advised to consider targeted exercises to aid in recovery of muscular strength and power. Future work should consider additional factors that likely influenced the decrease in physical performance that occurs during extended military training, such as nutrition, sleep, and psychological and cognitive stresses.
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Affiliation(s)
- Rebecca Zifchock
- Department of Biomechanical Engineering, United States Military Academy, West Point, NY 10996, USA
| | - Amy Silder
- Warfighter Performance Department, Naval Health Research Center, San Diego, CA 92106, USA
| | - Robert Murphy
- Department of Biomechanical Engineering, United States Military Academy, West Point, NY 10996, USA
| | - Tony Duong
- Warfighter Performance Department, Naval Health Research Center, San Diego, CA 92106, USA
- Leidos, Inc, San Diego, CA 92121, USA
| | - Pinata Sessoms
- Warfighter Performance Department, Naval Health Research Center, San Diego, CA 92106, USA
| | - Douglas Jones
- Warfighter Performance Department, Naval Health Research Center, San Diego, CA 92106, USA
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Edwards NA, Talarico MK, Chaudhari A, Mansfield CJ, Oñate J. Use of accelerometers and inertial measurement units to quantify movement of tactical athletes: A systematic review. APPLIED ERGONOMICS 2023; 109:103991. [PMID: 36841096 DOI: 10.1016/j.apergo.2023.103991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Revised: 01/25/2023] [Accepted: 02/02/2023] [Indexed: 06/18/2023]
Abstract
The dynamic work environments of tactical athletes are difficult to replicate in a laboratory. Accelerometers and inertial measurement units provide a way to characterize movement in the field. This systematic review identified how accelerometers and inertial measurement units are currently being used to quantify movement patterns of tactical athletes. Seven research and military databases were searched, producing 26,228 potential articles with 78 articles included in this review. The articles studied military personnel (73.1%), firefighters (19.2%), paramedics (3.8%), and law enforcement officers (3.8%). Accelerometers were the most used type of sensor, and physical activity was the primarily reported outcome variable. Seventy of the studies had fair or poor quality. Research on firefighters, emergency medical services, and law enforcement officers was limited. Future research should strive to make quantified movement data more accessible and user-friendly for non-research personnel, thereby prompting increased use in tactical athlete groups, especially first responder agencies.
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Affiliation(s)
- Nathan A Edwards
- School of Health and Rehabilitation Sciences, The Ohio State University, 453 W 10th Ave, Columbus, OH, 43210, USA; Human Performance Collaborative, The Ohio State University, 1961 Tuttle Park Place, Columbus, OH, 43210, USA; Sports Medicine Research Institute, The Ohio State University, 4835 Fred Taylor Drive, Columbus, OH, 43210, USA.
| | - Maria K Talarico
- Human Systems Integration Division, DEVCOM Analysis Center, U.S. Army Futures Command, 7188 Sustainment Rd, Aberdeen Proving Ground, MD, 21005, USA.
| | - Ajit Chaudhari
- School of Health and Rehabilitation Sciences, The Ohio State University, 453 W 10th Ave, Columbus, OH, 43210, USA; Sports Medicine Research Institute, The Ohio State University, 4835 Fred Taylor Drive, Columbus, OH, 43210, USA; Department of Mechanical and Aerospace Engineering, The Ohio State University, 201 W. 19th Avenue, Columbus, OH, 43210, USA; Department of Biomedical Engineering, The Ohio State University, 140 W. 19th Avenue, Columbus, OH, 43210, USA.
| | - Cody J Mansfield
- School of Health and Rehabilitation Sciences, The Ohio State University, 453 W 10th Ave, Columbus, OH, 43210, USA; Sports Medicine Research Institute, The Ohio State University, 4835 Fred Taylor Drive, Columbus, OH, 43210, USA.
| | - James Oñate
- School of Health and Rehabilitation Sciences, The Ohio State University, 453 W 10th Ave, Columbus, OH, 43210, USA; Human Performance Collaborative, The Ohio State University, 1961 Tuttle Park Place, Columbus, OH, 43210, USA; Division of Athletic Training, School of Health and Rehabilitation Sciences, The Ohio State University, 453 W 10th Ave, Columbus, OH, 43210, USA; Sports Medicine Research Institute, The Ohio State University, 4835 Fred Taylor Drive, Columbus, OH, 43210, USA.
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Corrigan SL, Roberts SSH, Warmington SA, Drain JR, Tait JL, Bulmer S, Main LC. Overnight heart rate variability responses to military combat engineer training. APPLIED ERGONOMICS 2023; 107:103935. [PMID: 36371929 DOI: 10.1016/j.apergo.2022.103935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 10/28/2022] [Accepted: 10/29/2022] [Indexed: 06/16/2023]
Abstract
The study aimed to determine if overnight heart rate variability (HRV) is reflective of workload and stress during military training. Measures of cognitive load, perceived exertion, physical activity, nocturnal HRV, cognitive performance and sleep were recorded for a 15-day assessment period in 32 combat engineers. The assessment period consisted of 4 phases, PRE, FIELD, BASE and RECOVERY that exposed trainees to periods of sleep deprivation and restriction. The FIELD phase was characterised by an increase in mood disturbance, perceived exertion, physical activity, HRV and a reduction in sleep quantity (p < 0.05). Measures of HRV returned to PRE-values quicker than subjective wellbeing responses. The combination of sleep duration (β = -0.002, F = 13.42, p < 0.001) and physical activity (metabolic equivalents, β = -0.483, F = 5.95, p = 0.017), the main stressors of the exercise, provided a significant effect in the best predictive model of HRV. The different recovery rates of HRV and subjective wellbeing suggest a different physiological and psychological response.
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Affiliation(s)
- Sean L Corrigan
- Deakin University, Centre for Sport Research, Geelong, Victoria, Australia.
| | | | - Stuart A Warmington
- Deakin University, Institute for Physical Activity and Nutrition, Geelong, Victoria, Australia
| | - Jace R Drain
- Defence Science and Technology Group, Fishermans Bend, Victoria, Australia
| | - Jamie L Tait
- Deakin University, Institute for Physical Activity and Nutrition, Geelong, Victoria, Australia
| | - Sean Bulmer
- Deakin University, Centre for Sport Research, Geelong, Victoria, Australia
| | - Luana C Main
- Deakin University, Institute for Physical Activity and Nutrition, Geelong, Victoria, Australia
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Bulmer S, Corrigan SL, Drain JR, Tait JL, Aisbett B, Roberts S, Gastin PB, Main LC. Characterising Psycho-Physiological Responses and Relationships during a Military Field Training Exercise. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:14767. [PMID: 36429484 PMCID: PMC9690080 DOI: 10.3390/ijerph192214767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 10/28/2022] [Accepted: 11/01/2022] [Indexed: 06/16/2023]
Abstract
UNLABELLED Over a 15-day period, that included an eight-day field trial, the aims of this study were to (1) quantify the physical workload, sleep and subjective well-being of soldiers in training; (2a) Explore relationships between workload and well-being, and (2b) sleep and well-being; (3) Explore relationships between workload, sleep, and well-being. METHODS Sixty-two Combat Engineer trainees (59 male, 3 female; age: 25.2 ± 7.2 years) wore an ActiGraph GT9X to monitor daily energy expenditure, physical activity, and sleep. Rating of perceived exertion (RPE), sleep quality, and fatigue were measured daily, subjective well-being was reported days 1, 5, 9, 13 and 15. Multi-level models were used for the analysis. RESULTS Well-being was affected by a combination of variables including workload, subjective sleep quality, sleep duration, and sleep efficiency. RPE and subjective sleep quality were consistently significant parameters within the models of best fit. CONCLUSIONS Perceptions of well-being were lower during the field training when physical workload increased, and sleep decreased. Energy expenditure was comparatively low, while daily sleep duration was consistent with field training literature. Subjective assessments of workload and sleep quality were consistently effective in explaining variations in well-being and represent an efficient approach to monitor training status of personnel.
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Affiliation(s)
- Sean Bulmer
- Deakin University, Centre for Sport Research, School of Exercise and Nutrition Sciences, Geelong, VIC 3220, Australia
| | - Sean L. Corrigan
- Deakin University, Centre for Sport Research, School of Exercise and Nutrition Sciences, Geelong, VIC 3220, Australia
| | - Jace R. Drain
- Defence Science and Technology Group, Fisherman’s Bend, Melbourne, VIC 3207, Australia
| | - Jamie L. Tait
- Deakin University, Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Geelong, VIC 3220, Australia
| | - Brad Aisbett
- Deakin University, Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Geelong, VIC 3220, Australia
| | - Spencer Roberts
- Deakin University, Centre for Sport Research, School of Exercise and Nutrition Sciences, Geelong, VIC 3220, Australia
| | - Paul B. Gastin
- La Trobe Sport and Exercise Medicine Research Centre, School of Allied Health, Human Services and Sport, La Trobe University, Bundoora, VIC 3086, Australia
| | - Luana C. Main
- Deakin University, Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Geelong, VIC 3220, Australia
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Bulmer S, Drain JR, Tait JL, Corrigan SL, Gastin PB, Aisbett B, Rantalainen T, Main LC. Quantification of Recruit Training Demands and Subjective Wellbeing during Basic Military Training. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19127360. [PMID: 35742608 PMCID: PMC9223755 DOI: 10.3390/ijerph19127360] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 06/07/2022] [Accepted: 06/08/2022] [Indexed: 11/17/2022]
Abstract
Purpose: Assess and describe the physical demands and changes in subjective wellbeing of recruits completing the 12 week Australian Army Basic Military Training (BMT) course. Methods: Thirty-five recruits (24.8 ± 6.8 y; 177.4 ± 10.1 cm, 75.6 ± 14.7 kg) consented to daily activity monitoring and weekly measures of subjective wellbeing (Multi-component Training Distress Scale, MTDS). The physical demands of training were assessed via wrist worn activity monitors (Actigraph GT9X accelerometer). Physical fitness changes were assessed by push-ups, sit-ups and multi-stage shuttle run in weeks 2 and 8. Results: All objective and subjective measures significantly changed (p < 0.05) across the 12 week BMT course. In parallel, there was a significant improvement in measures of physical fitness from weeks 2 to 8 (p < 0.001). The greatest disturbance to subjective wellbeing occurred during week 10, which was a period of field training. Weeks 6 and 12 provided opportunities for recovery as reflected by improved wellbeing. Conclusions: The physical demands of training varied across the Australian Army 12 week BMT course and reflected the intended periodization of workload and recovery. Physical fitness improved from week 2 to 8, indicating a positive training response to BMT. Consistent with findings in sport, wellbeing measures were sensitive to fluctuations in training stress and appear to have utility for individual management of personnel in the military training environment.
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Affiliation(s)
- Sean Bulmer
- Centre for Sport Research, School of Exercise and Nutrition Sciences, Deakin University, Geelong 3220, Australia; (S.B.); (S.L.C.)
| | - Jace R. Drain
- Defence Science and Technology Group, Fishermans Bend 3207, Australia;
| | - Jamie L. Tait
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong 3220, Australia; (J.L.T.); (B.A.)
| | - Sean L. Corrigan
- Centre for Sport Research, School of Exercise and Nutrition Sciences, Deakin University, Geelong 3220, Australia; (S.B.); (S.L.C.)
| | - Paul B. Gastin
- La Trobe Sport and Exercise Medicine Research Centre, School of Allied Health, Human Services and Sport, La Trobe University, Bundoora 3083, Australia;
| | - Brad Aisbett
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong 3220, Australia; (J.L.T.); (B.A.)
| | - Timo Rantalainen
- Gerontology Research Centre and Faculty of Sport and Health Sciences, University of Jyväskylä, 40014 Jyväskylä, Finland;
| | - Luana C. Main
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong 3220, Australia; (J.L.T.); (B.A.)
- Correspondence: ; Tel.: +61-39244-5030
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Heilbronn B, Doma K, Sinclair W, Connor J, Irvine-Brown L, Leicht A. Acute Fatigue Responses to Occupational Training in Military Personnel: A Systematic Review and Meta-Analysis. Mil Med 2022; 188:969-977. [PMID: 35639912 DOI: 10.1093/milmed/usac144] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 04/08/2022] [Accepted: 05/11/2022] [Indexed: 11/14/2022] Open
Abstract
INTRODUCTION Military personnel are required to undertake rigorous physical training to meet the unique demands of combat, often leading to high levels of physiological stress. Inappropriate recovery periods with these high levels of physical stress may result in sub-optimal training and increased risk of injury in military personnel. However, no reviews have attempted to examine the magnitude of training-induced stress following military training activities. The aim of this systematic review was to assess the magnitude of physiological stress (physical, hormonal, and immunological) following task-specific training activities in military personnel. METHODS An extensive literature search was conducted within CINAHL, PubMed, Scopus, SportDiscus, and Web of Science databases with 7,220 records extracted and a total of 14 studies eligible for inclusion and evaluation. Study appraisal was conducted using the Kmet scale. Meta-analysis was conducted via forest plots, with standard mean difference (SMD, effect size) and inter-trial heterogeneity (I2) calculated between before (preactivity) and after (12-96 hours postactivity) military-specific activities for biomarkers of physiological stress (muscle damage, inflammation, and hormonal) and physical performance (muscular strength and power). RESULTS Military training activities resulted in significant levels of muscle damage (SMD = -1.28; P = .003) and significant impairments in strength and power (SMD = 0.91; P = .008) and testosterone levels (SMD = 1.48; P = .05) up to 96 hours postactivity. There were no significant differences in inflammation (SMD = -0.70; P = .11), cortisol (SMD = -0.18; P = .81), or insulin-like growth factor 1 (SMD = 0.65; P = .07) when compared to preactivity measures. CONCLUSIONS These findings indicate that assessments of muscle damage, anabolic hormones like testosterone, strength, and power are effective for determining the level of acute stress following military-specific activities. With regular monitoring of these measures, appropriate recovery periods may be implemented to optimize training adaptations and occupational performance, with minimal adverse training responses in military personnel.
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Affiliation(s)
- Brian Heilbronn
- Royal Australian Army Medical CORPS, Australian Army, Australian Defence Force, Australia.,Sport and Exercise Science, James Cook University, Townsville, QLD 4811, Australia
| | - Kenji Doma
- Sport and Exercise Science, James Cook University, Townsville, QLD 4811, Australia
| | - Wade Sinclair
- Sport and Exercise Science, James Cook University, Townsville, QLD 4811, Australia
| | - Jonathan Connor
- Sport and Exercise Science, James Cook University, Townsville, QLD 4811, Australia
| | - Lachlan Irvine-Brown
- Royal Australian Army Medical CORPS, Australian Army, Australian Defence Force, Australia
| | - Anthony Leicht
- Sport and Exercise Science, James Cook University, Townsville, QLD 4811, Australia.,Australian Institute of Tropical Health & Medicine, James Cook University, Townsville, QLD 4811, Australia
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Conkright WR, Beckner ME, Sahu A, Mi Q, Clemens ZJ, Lovalekar M, Flanagan SD, Martin BJ, Ferrarelli F, Ambrosio F, Nindl BC. Men and women display distinct extracellular vesicle biomarker signatures in response to military operational stress. J Appl Physiol (1985) 2022; 132:1125-1136. [PMID: 35297690 PMCID: PMC9054257 DOI: 10.1152/japplphysiol.00664.2021] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 03/08/2022] [Accepted: 03/09/2022] [Indexed: 12/14/2022] Open
Abstract
Extracellular vesicles (EVs) are mediators of physiological changes that occur during physical exertion. This study examined the effects of physical exertion with and without sleep and caloric restriction on EV size, concentration, and surface proteins in men and women. Twenty participants (10 men) completed a 5-day simulated military operational stress protocol with daily physical exertion. Blood was drawn before and immediately after exertion at baseline (D1) and following 48-h of sleep and caloric restriction (D3). EV size and concentration were assessed using nanoparticle tracking analysis. EVs were identified with markers associated with exosomes (CD63), microvesicles (VAMP3), apoptotic bodies (THSD1), and skeletal muscle-derived EVs (SGCA) and quantified using imaging flow cytometry. Interactive and main effects of sex, day, and time on EVs were assessed using three-way ANOVAs. EV concentration declined pre to postexertion in women on D1 and D3 but was stable in men. EV size increased from pre to postexertion and from D1 to D3 in men and women. Physical exertion following sleep and caloric restriction increased CD63+ EV concentration, proportion of total EVs, and CD63 surface protein expression regardless of sex. The proportion of SGCA+ EVs increased in men and women following exertion and from D1 to D3 but was higher in women than in men. No differences were observed in VAMP3+ and THSD1+ EVs. This study identified sexually dimorphic EV profiles in response to various stressors. Further investigations are necessary to determine if dimorphic EV responses affect health and performance outcomes during stress.NEW & NOTEWORTHY Sex is understudied in EV research, and most studies limit EV analysis to single stress conditions such as exercise. Multistress conditions consisting of physical exertion and sleep and caloric restriction are common in real-world settings. We demonstrate that physical exertion results in sex-specific EV signatures and that EV profiles vary according to single versus multistress conditions. Our data highlight important biological and ecological characteristics that should be considered in EV research.
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Affiliation(s)
- William R Conkright
- Neuromuscular Research Lab/Warrior Human Performance Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Meaghan E Beckner
- Neuromuscular Research Lab/Warrior Human Performance Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Amrita Sahu
- McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Qi Mi
- Neuromuscular Research Lab/Warrior Human Performance Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Zachary J Clemens
- McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Mita Lovalekar
- Neuromuscular Research Lab/Warrior Human Performance Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Shawn D Flanagan
- Neuromuscular Research Lab/Warrior Human Performance Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Brian J Martin
- Neuromuscular Research Lab/Warrior Human Performance Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Fabio Ferrarelli
- School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Fabrisia Ambrosio
- McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
- Department of Physical Medicine & Rehabilitation, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Bradley C Nindl
- Neuromuscular Research Lab/Warrior Human Performance Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania
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Michael SW, Siddall AG, O'Leary TJ, Groeller H, Sampson JA, Blacker SD, Drain JR. Monitoring work and training load in military settings - what's in the toolbox? Eur J Sport Sci 2021; 22:58-71. [PMID: 34463198 DOI: 10.1080/17461391.2021.1971774] [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] [Indexed: 10/20/2022]
Abstract
Military personnel are required to complete physically demanding tasks when performing work and training, which may be quantified through the physical stress imposed (external load) or the resultant physiological strain (internal load). The aim of this narrative review is to provide an overview of the techniques used to monitor work and training load in military settings, summarise key findings, and discuss important practical, analytical, and conceptual considerations. Most investigations have focused upon measuring external and internal load in military training environments; however, limited data exist in operational settings. Accelerometry has been the primary tool used to estimate external load, with heart rate commonly used to quantify internal load. Supplemental to heart rate, psychophysiological and biochemical measures have also been investigated to elucidate aspects of internal load. Broadly, investigations have revealed that military training requires personnel to perform relatively large volumes of physical activity (e.g. averaging ∼15,000 steps·day-1) of typically low-moderate intensity activity (<6 MET), although considerable temporal and inter-individual variability is observed from these gross mean estimates. There are limitations associated with these measures and, at best, estimates of external and internal load can only be inferred. These limitations are particularly pertinent for military tasks such as load carriage and manual material handling, which often involve complex activities performed individually or in teams, in a range of operational environments, with multiple layers of protection, over a protracted duration. Comprehensively quantifying external and internal loads during these functional activities poses substantial practical and analytical challenges.
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Affiliation(s)
- Scott W Michael
- Centre of Medical and Exercise Physiology, University of Wollongong, Wollongong, Australia
| | - Andrew G Siddall
- Occupational Performance Research Group, Institute of Sport, University of Chichester, Chichester, UK
| | - Thomas J O'Leary
- Army Health and Performance Research, Army Headquarters, Andover, UK
| | - Herbert Groeller
- Centre of Medical and Exercise Physiology, University of Wollongong, Wollongong, Australia
| | - John A Sampson
- Centre of Medical and Exercise Physiology, University of Wollongong, Wollongong, Australia
| | - Sam D Blacker
- Occupational Performance Research Group, Institute of Sport, University of Chichester, Chichester, UK
| | - Jace R Drain
- Land Division, Defence Science and Technology Group, Melbourne, Australia
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Applying Force Plate Technology to Inform Human Performance Programming in Tactical Populations. APPLIED SCIENCES-BASEL 2021. [DOI: 10.3390/app11146538] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Force plate assessments, such as countermovement jumps and isometric mid-thigh pulls, examine performances (e.g., jump height, force, power) and movement strategies (e.g., asymmetries, durations), and are best suited to characterize and monitor physical capabilities, not predict injuries. To begin applying force plate technologies, users must first; (1) develop a data management plan to visualize and capture data over time; (2) select appropriate force plates for their scenario; (3) design appropriate testing protocols to ensure valid and reliable data. Force plate assessments may be added to existing testing, serve as separate testing batteries for annual profile testing to compare individuals and understand initial physical capabilities, or for more frequent testing (i.e., monthly or weekly) to monitor training-related adaptations or neuromuscular fatigue. Although these assessments inform evidence-based program designs, human performance practitioners must understand the considerations for conducting appropriate force plate testing, as well as proper visualizations and management of force plate data. Thus, the aim of this review is to provide evidence-based practices for utilizing force plates in tactical populations (e.g., military, firefighters, police). This includes best practices to implement testing for performance profiling, training adaptations, and monitoring neuromuscular fatigue and force asymmetries. Of note, due to the large amount of force-time metrics to choose from, this article provides general examples of important metrics to monitor and training recommendations based on changes to these force-time metrics, followed by specific examples in three case studies.
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Dimensionality Reduction Differentiates Sensitive Force-Time Characteristics from Loaded and Unloaded Conditions throughout Competitive Military Training. SUSTAINABILITY 2021. [DOI: 10.3390/su13116105] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The purpose was to evaluate neuromuscular fatigue’s effect on unloaded and loaded countermovement jump (CMJ) force-time characteristics during high-intensity tactical training. Eighteen male and sixteen female Marines completed two maximal effort CMJs, in unloaded (PVC pipe) and loaded (10 kg weight vest and 20 kg barbell) conditions, prior to, and 24, 48, and 72 h after starting the 4-day event. The top three variables from three principal components (PC) were analyzed using mixed-effects modeling (PC1—concentric mean power, eccentric peak force, and modified reactive strength index; PC2—countermovement depth, eccentric mean power, and eccentric mean velocity; PC3—braking duration, jump height, peak power). Metrics from PC1 and PC3 were reduced across training and from both loading conditions. Metrics from PC2 were similarly affected by external loading but were less influenced by training-induced fatigue. Jump performances with the barbell and with shallower countermovement depths did not change throughout training. Thus, 20 kg loaded CMJs are stable neuromuscular measures suitable for tracking chronic training adaptations. Monitoring unloaded and 10 kg loaded CMJ performances, along with movement strategies (i.e., countermovement rates and depth), may help identify moments of accumulated fatigue to inform training and recovery adjustments and improve the sustainability of personnel.
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Conkright WR, Beckner ME, Sinnott AM, Eagle SR, Martin BJ, Lagoy AD, Proessl F, Lovalekar M, Doyle TLA, Agostinelli P, Sekel NM, Flanagan SD, Germain A, Connaboy C, Nindl BC. Neuromuscular Performance and Hormonal Responses to Military Operational Stress in Men and Women. J Strength Cond Res 2021; 35:1296-1305. [PMID: 33780395 DOI: 10.1519/jsc.0000000000004013] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Abstract
Conkright, WR, Beckner, ME, Sinnott, AM, Eagle, SR, Martin, BJ, Lagoy, AD, Proessl, F, Lovalekar, M, Doyle, TLA, Agostinelli, P, Sekel, NM, Flanagan, SD, Germain, A, Connaboy, C, and Nindl, BC. Neuromuscular performance and hormonal responses to military operational stress in men and women. J Strength Cond Res 35(5): 1296–1305, 2021—Women have recently been integrated into ground close combat positions; however, there are limited data in women in these roles. We aimed to test the hypothesis that there would be no sex-specific neuromuscular responses, but hormonal signaling would be differentially impacted when exposed to simulated military operational stress (SMOS). Neuromuscular performance was assessed daily using a tactical mobility test (TMT) in 54 male and 15 female military members. Blood was drawn before/after TMT. Mood states were assessed each morning. Unloaded 300-m shuttle time increased 6% in both sexes and remained 7% higher after 1 day of recovery compared with baseline (p < 0.05 for both), whereas performance was maintained in other TMT events (p > 0.05). Growth hormone increased in men, but not women, before to after TMT (p < 0.001 vs. p = 0.086). Women experienced a greater decline in insulin-like growth factor-I across days compared with men (
= 0.778 vs. 0.209, respectively, p < 0.001). Brain-derived neurotrophic factor increased significantly in men only from before to after TMT on day 1 (men: +107% vs. women: +10%) but no difference on days 3 or 4. Cortisol increased 69% from before to after TMT when averaged by sex and day. Negative mood states (depression, tension, and anger) and altered hormonal concentrations were associated with poorer TMT performance. Acute SMOS differentially impacted circulating hormonal milieu in men and women, but no differences in physical performance responses. Unloaded 300-m shuttle was negatively impacted while other fitness domains were maintained. Relationships between performance and mood/endocrine signaling highlight the potential for self-report measures and biomarkers to serve as indicators of performance change.
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Affiliation(s)
- William R Conkright
- Department of Sports Medicine and Nutrition, Neuromuscular Research Laboratory/Warrior Human Performance Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Meaghan E Beckner
- Department of Sports Medicine and Nutrition, Neuromuscular Research Laboratory/Warrior Human Performance Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Aaron M Sinnott
- Department of Sports Medicine and Nutrition, Neuromuscular Research Laboratory/Warrior Human Performance Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Shawn R Eagle
- Department of Sports Medicine and Nutrition, Neuromuscular Research Laboratory/Warrior Human Performance Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Brian J Martin
- Department of Sports Medicine and Nutrition, Neuromuscular Research Laboratory/Warrior Human Performance Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Alice D Lagoy
- Department of Sports Medicine and Nutrition, Neuromuscular Research Laboratory/Warrior Human Performance Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania
- Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania; and
| | - Felix Proessl
- Department of Sports Medicine and Nutrition, Neuromuscular Research Laboratory/Warrior Human Performance Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Mita Lovalekar
- Department of Sports Medicine and Nutrition, Neuromuscular Research Laboratory/Warrior Human Performance Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Tim L A Doyle
- Faculty of Medicine, Health, and Human Sciences, Macquarie University, Sydney, Australia
| | - Phil Agostinelli
- Department of Sports Medicine and Nutrition, Neuromuscular Research Laboratory/Warrior Human Performance Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Nicole M Sekel
- Department of Sports Medicine and Nutrition, Neuromuscular Research Laboratory/Warrior Human Performance Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Shawn D Flanagan
- Department of Sports Medicine and Nutrition, Neuromuscular Research Laboratory/Warrior Human Performance Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Anne Germain
- Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania; and
| | - Christopher Connaboy
- Department of Sports Medicine and Nutrition, Neuromuscular Research Laboratory/Warrior Human Performance Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Bradley C Nindl
- Department of Sports Medicine and Nutrition, Neuromuscular Research Laboratory/Warrior Human Performance Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania
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Effects of Task-Specific and Strength Training on Simulated Military Task Performance in Soldiers. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17218000. [PMID: 33143178 PMCID: PMC7662950 DOI: 10.3390/ijerph17218000] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 10/26/2020] [Accepted: 10/29/2020] [Indexed: 11/18/2022]
Abstract
A soldier’s occupational physical task requirements are diverse and varied. However, the type of physical training that most effectively improves soldiers’ occupational task requirements has not been studied previously. The purpose of this study was to determine the important strength characteristics for soldiers during a repeated simulated military task course, and the type of training that may be effective to improve these abilities during a specialized military training period. Forty-two (n = 42) soldiers participated in the study. They were divided into three training groups; a soldier task-specific training group (TSG, n = 17), a strength training group (STG, n = 15), and a control group (CON, n = 10). Participants were measured before (PRE), middle (MID) and after (POST) the 12-week training intervention for strength performance and simulated military task test. Simulated military task performance improved significantly in TSG and STG between the PRE and MID measurements (from 9.4 to 15.7%). TSG and STG improved in various spilt times, especially in strength tasks; casualty drag (from 8.3 to 13.6%) and kettlebell carry (from 13.2 to 22.4%) between the PRE and MID measurements. The present study showed that both the training of TSG and STG were more effective than the training of CON (control group) in terms of improving the performance in the repeated simulated military task course. The present study showed that training of TSG was as effective as STG to improve repeated simulated military task course time. Therefore, an optimal training combination should include high-intensity simulated military task field training and strength training programmed with consideration of the military training phase and environmental possibilities.
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Hinde KL, O'Leary TJ, Greeves JP, Wardle SL. Measuring Protein Turnover in the Field: Implications for Military Research. Adv Nutr 2020; 12:887-896. [PMID: 33079983 PMCID: PMC8166569 DOI: 10.1093/advances/nmaa123] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 09/04/2020] [Accepted: 09/08/2020] [Indexed: 11/15/2022] Open
Abstract
Protein turnover reflects the continual synthesis and breakdown of body proteins, and can be measured at a whole-body (i.e. aggregated across all body proteins) or tissue (e.g. skeletal muscle only) level using stable isotope methods. Evaluating protein turnover in free-living environments, such as military training, can help inform protein requirements. We undertook a narrative review of published literature with the aim of reviewing the suitability of, and advancements in, stable isotope methods for measuring protein turnover in field research. The 2 primary approaches for measuring protein turnover are based on precursor- and end-product methods. The precursor method is the gold-standard for measuring acute (over several hours) skeletal muscle protein turnover, whereas the end-product method measures chronic (over several weeks) skeletal muscle protein turnover and provides the opportunity to monitor free-living activities. Both methods require invasive procedures such as the infusion of amino acid tracers and muscle biopsies to assess the uptake of the tracer into tissue. However, the end-product method can also be used to measure acute (over 9-24 h) whole-body protein turnover noninvasively by ingesting 15N-glycine, or equivalent isotope tracers, and collecting urine samples. The end-product method using 15N-glycine is a practical method for measuring whole-body protein turnover in the field over short (24 h) time frames and has been used effectively in recent military field research. Application of this method may improve our understanding of protein kinetics during conditions of high physiological stress in free-living environments such as military training.
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Affiliation(s)
- Katrina L Hinde
- Army Health and Performance Research, Army Headquarters, Andover, United Kingdom
| | - Thomas J O'Leary
- Army Health and Performance Research, Army Headquarters, Andover, United Kingdom,Division of Surgery & Interventional Science, University College London, London, United Kingdom
| | - Julie P Greeves
- Army Health and Performance Research, Army Headquarters, Andover, United Kingdom,Division of Surgery & Interventional Science, University College London, London, United Kingdom,Norwich Medical School, University of East Anglia, Norwich, United Kingdom
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Santtila M, Pihlainen K, Vaara J, Tokola K, Kyröläinen H. Changes in physical fitness and anthropometrics differ between female and male recruits during the Finnish military service. BMJ Mil Health 2020; 168:337-342. [DOI: 10.1136/bmjmilitary-2020-001513] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Revised: 08/19/2020] [Accepted: 08/28/2020] [Indexed: 11/04/2022]
Abstract
IntroductionMilitary training programmes are often similar for male and female recruits despite sex differences in physical performance that may influence training adaptations during military service. The present study aimed to compare changes in physical fitness and anthropometrics between Finnish female and male recruits during military service.MethodsA total of 234 690 male and 3549 female recruits participated in fitness tests at the beginning and end of military service between 2005 and 2015. Anthropometric measurements were body mass, height, body mass index (BMI) and waist circumference (WC). Fitness tests consisted 12 min running, standing long jump, and sit-ups and push-ups.ResultsNo changes were observed in anthropometrics, while both sexes improved most of the fitness test results. After adjustment for service time, branch, age, initial fitness test results, BMI and WC, improvement in running test performance was 158 m (95% CI 142 to 173, p≤0.001) greater in male than female recruits. Similarly, improvements were larger in male recruits for push-ups (5 reps/min, 95% CI 5 to 6, p≤0.001), sit-ups (2 reps/min, 95% CI 2 to 3, p≤0.001) and standing long jump (12 cm, 95% CI 11 to 13, p≤0.001) when compared with women.ConclusionsThe study revealed sex differences in adaptations to the standardised military training. Both male and female recruits improved their physical fitness, but smaller gains were observed in women using the same training programme. The mechanisms explaining sex differences in adaptations to military training, and whether tailored training programmes are needed specifically for female recruits to reduce sex differences during military service, warrants further studies.
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Effects of baseline fitness and BMI levels on changes in physical fitness during military service. J Sci Med Sport 2020; 23:841-845. [PMID: 32067916 DOI: 10.1016/j.jsams.2020.02.006] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2019] [Revised: 01/13/2020] [Accepted: 02/07/2020] [Indexed: 11/21/2022]
Abstract
OBJECTIVES The purpose of the present study was to investigate how aerobic fitness, muscle fitness and body mass index (BMI) change in relation to their baseline levels during 6-12 months of military service. DESIGN Retrospective longitudinal follow-up study. METHODS The study group consisted of 249279 healthy young male conscripts (age 19.1±0.4 yrs.) who completed their military service between the years 2005-2015. Anthropometrics (body mass, height, BMI), aerobic fitness (12-min running test) and muscle fitness (sit-ups, push-ups, standing long jump) were measured. RESULTS A 12-min running test improved by 5% (107±292m), standing long jump 1% (2.1±16.2cm), 1-min sit-ups 19% (4±8 repetitions/min) and 1-min push-ups 33% (5±10 repetitions/min) (p<0.001 for all). Baseline fitness and baseline BMI levels were inversely associated with their changes (r=-0.37 to -0.47, p<0.001). Performance improved in conscripts in the lowest two baseline fitness quartiles in all tests, while it decreased in conscripts in the highest fitness quartiles. In addition, in conscripts who were obese at baseline, body mass decreased on average by 4.9±7.0kg (p<0.001). CONCLUSIONS On average, the physical fitness of conscripts improved during their compulsory military service. In particular, conscripts with a lower baseline fitness level or higher BMI showed the largest improvements, which may be significant findings from both a military readiness and national health perspective. However, the decline in physical performance of high-fit conscripts highlights the importance of individualization of physical training and military training load during military service.
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Nikolaidis PT, Papaioannou KG, Rosemann T, Knechtle B. Exercise Testing of Muscle Strength in Military. Mil Med 2019; 184:e426-e430. [PMID: 31247093 DOI: 10.1093/milmed/usz152] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2019] [Revised: 04/08/2019] [Indexed: 11/14/2022] Open
Abstract
INTRODUCTION Strength training has been routinely used in exercise programs of military groups; however, no review has been ever conducted to clarify the selection of exercise tests to monitor its effectiveness. Therefore, the aim of the present review was to critically evaluate the current practices in the choice of assessment methods for muscle strength in military and suggest directions for future research. METHODS The Scopus and Pubmed databases were searched in December 2018 using "fitness assessment OR muscle strength AND military OR army" as keywords. RESULTS Methodological concerns were highlighted in exercise testing of muscle strength, where the use of appropriate tests were recommended (handgrip, isokinetic or 1RM in bench or leg press) to complement tests that measured muscle endurance rather than muscle strength (e.g., timed push-ups or sit-ups). CONCLUSIONS Although strength training has been included in military training, it was concluded that the existed physical fitness test batteries focused mostly on muscle endurance rather than on muscle strength. Therefore, it would be suggested that muscle strength tests be included in future physical fitness test batteries in order to evaluate effectively the content of military training.
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Affiliation(s)
| | | | - Thomas Rosemann
- Institute of Primary Care, University of Zurich, Zurich, Switzerland
| | - Beat Knechtle
- Institute of Primary Care, University of Zurich, Zurich, Switzerland
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Siddall AG, Powell SD, Needham-Beck SC, Edwards VC, Thompson JES, Kefyalew SS, Singh PA, Orford ER, Venables MC, Jackson S, Greeves JP, Blacker SD, Myers SD. Validity of energy expenditure estimation methods during 10 days of military training. Scand J Med Sci Sports 2019; 29:1313-1321. [PMID: 31136027 DOI: 10.1111/sms.13488] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Accepted: 05/24/2019] [Indexed: 01/01/2023]
Abstract
Wearable physical activity (PA) monitors have improved the ability to estimate free-living total energy expenditure (TEE) but their application during arduous military training alongside more well-established research methods has not been widely documented. This study aimed to assess the validity of two wrist-worn activity monitors and a PA log against doubly labeled water (DLW) during British Army Officer Cadet (OC) training. For 10 days of training, twenty (10 male and 10 female) OCs (mean ± SD: age 23 ± 2 years, height 1.74 ± 0.09 m, body mass 77.0 ± 9.3 kg) wore one research-grade accelerometer (GENEActiv, Cambridge, UK) on the dominant wrist, wore one commercially available monitor (Fitbit SURGE, USA) on the non-dominant wrist, and completed a self-report PA log. Immediately prior to this 10-day period, participants consumed a bolus of DLW and provided daily urine samples, which were analyzed by mass spectrometry to determine TEE. Bivariate correlations and limits of agreement (LoA) were employed to compare TEE from each estimation method to DLW. Average daily TEE from DLW was 4112 ± 652 kcal·day-1 against which the GENEActiv showed near identical average TEE (mean bias ± LoA: -15 ± 851 kcal. day-1 ) while Fitbit tended to underestimate (-656 ± 683 kcal·day-1 ) and the PA log substantially overestimate (+1946 ± 1637 kcal·day-1 ). Wearable physical activity monitors provide a cheaper and more practical method for estimating free-living TEE than DLW in military settings. The GENEActiv accelerometer demonstrated good validity for assessing daily TEE and would appear suitable for use in large-scale, longitudinal military studies.
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Affiliation(s)
- Andrew G Siddall
- Occupational Performance Research Group, University of Chichester, Chichester, UK
| | - Steven D Powell
- Occupational Performance Research Group, University of Chichester, Chichester, UK
| | - Sarah C Needham-Beck
- Occupational Performance Research Group, University of Chichester, Chichester, UK
| | - Victoria C Edwards
- Occupational Performance Research Group, University of Chichester, Chichester, UK
| | - Jane E S Thompson
- Occupational Performance Research Group, University of Chichester, Chichester, UK
| | - Sarah S Kefyalew
- Medical Research Council Elsie Widdowson Laboratory, Cambridge, UK
| | - Priya A Singh
- Medical Research Council Elsie Widdowson Laboratory, Cambridge, UK
| | - Elise R Orford
- Medical Research Council Elsie Widdowson Laboratory, Cambridge, UK
| | | | - Sarah Jackson
- Army Personnel Research Capability, Army Headquarters, Andover, UK
| | - Julie P Greeves
- Army Personnel Research Capability, Army Headquarters, Andover, UK
| | - Sam D Blacker
- Occupational Performance Research Group, University of Chichester, Chichester, UK
| | - Steve D Myers
- Occupational Performance Research Group, University of Chichester, Chichester, UK
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18
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Salonen M, Huovinen J, Kyröläinen H, Piirainen JM, Vaara JP. Neuromuscular Performance and Hormonal Profile During Military Training and Subsequent Recovery Period. Mil Med 2018; 184:e113-e119. [DOI: 10.1093/milmed/usy176] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2018] [Revised: 06/15/2018] [Indexed: 11/14/2022] Open
Affiliation(s)
- Mika Salonen
- Department of Leadership and Military Pedagogy, National Defense University, Santahamina, Helsinki, Finland
| | - Jukka Huovinen
- Neuromuscular Research Center, Faculty of Sport and Health Sciences, University of Jyväskylä, Rautpohjankatu 8, Jyväskylä, Finland
| | - Heikki Kyröläinen
- Department of Leadership and Military Pedagogy, National Defense University, Santahamina, Helsinki, Finland
- Neuromuscular Research Center, Faculty of Sport and Health Sciences, University of Jyväskylä, Rautpohjankatu 8, Jyväskylä, Finland
| | - Jarmo M Piirainen
- Neuromuscular Research Center, Faculty of Sport and Health Sciences, University of Jyväskylä, Rautpohjankatu 8, Jyväskylä, Finland
| | - Jani P Vaara
- Department of Leadership and Military Pedagogy, National Defense University, Santahamina, Helsinki, Finland
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