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Wendland R, Bossi L, Nakaza E, Oliver M. Comparison of In-service Reduced vs. Full Torso Coverage Armor for Females. Mil Med 2023; 188:e3102-e3111. [PMID: 37192219 DOI: 10.1093/milmed/usac406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 11/28/2022] [Accepted: 03/15/2023] [Indexed: 05/18/2023] Open
Abstract
INTRODUCTION Body armor and torso-borne equipment are critical to the survivability and operational effectiveness of a soldier. Historically, in-service designs have been predominantly designed for males or unisex, which may be disadvantageous for females who are shaped differently and, on average, smaller in stature and mass than their male counterparts. This study assesses the biomechanical and performance impact of two Canadian in-service armors and fighting load conditions on females. MATERIALS AND METHODS Four tasks (i.e., range of motion, treadmill march [×2], and a wall obstacle) were performed in a Baseline condition and two in-service torso-borne equipment conditions; the full torso coverage (FTC) condition has full upper torso soft armor with the fighting load carried in a separate vest, while the reduced coverage (RC) has a plate carrier with fighting load integrated into the armor carrier, bulk positioned higher, and less torso coverage. Both used identical combat loads and front and back armor plates. Trunk range of motion, march lower limb kinematics, march shoulder and hip skin pressures, perceived discomfort after the march, and time to traverse a wall obstacle were captured. Data were collected to assess the biomechanics and usability of the systems for eight females, representative of military recruits. Linear mixed-effects models were created, and analysis of variances (ANOVAs) were then performed on all the outcome measures (P < .05). Tukey's post-hoc procedures were performed when appropriate (P < .05). RESULTS There were significant differences between the RC and FTC for the sit and reach test (P < .001), lateral bend test (P < .001), and wall traverse time (P < .01). In all cases, the RC outperformed FTC. There were no differences between the two in-service conditions with respect to hip, knee, and ankle flexion/extension. The RC average skin pressure was higher than the FTC at the left and right shoulders by 103% and 79%, respectively, and peak skin pressure at the left shoulder by 75%. Both in-service conditions showed decrements in performance from Baseline for sit and reach (P < .001), lateral bend (P < .001), and peak hip and knee flexion (P < .01) with the FTC showing decreases in trunk rotation (P < .001) and wall traverse time (P < .01). CONCLUSIONS Improved outcomes for the RC can be attributed to design differences. The lower placement of bulk in FTC may act as a physical barrier during range of motion tasks and the wall obstacle. The presence of shoulder caps on FTC provides another physical barrier that likely impedes full movement through the arms and shoulders. While the narrower shoulder straps of the RC remove the barrier, it causes more concentrated skin pressures on the shoulder that can lead to injury. The results suggest that the RC offers a potential for increased operational effectiveness in females (and potentially for males) compared to the FTC system. Shoulder pressure, an important predictor of discomfort and injury, is the only measure for which FTC outperformed the RC. Future torso-borne equipment designs targeting this outcome measure could help increase the effectiveness of the RC and other similar systems that reduce torso coverage, though survivability implications must also be considered.
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Affiliation(s)
- Rebecca Wendland
- Biophysics Interdepartmental Group Graduate Program, School of Engineering, University of Guelph, Guelph, ON N1G 2W1, Canada
- School of Engineering, University of Guelph, Guelph, ON N1G 2W1, Canada
| | - Linda Bossi
- Defence Research and Development Canada, North York, ON M3K 2C9, Canada
| | | | - Michele Oliver
- Biophysics Interdepartmental Group Graduate Program, School of Engineering, University of Guelph, Guelph, ON N1G 2W1, Canada
- School of Engineering, University of Guelph, Guelph, ON N1G 2W1, Canada
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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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Evaluation of spinal force normalization techniques. J Biomech 2023; 147:111441. [PMID: 36680886 DOI: 10.1016/j.jbiomech.2023.111441] [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: 07/22/2022] [Revised: 11/19/2022] [Accepted: 01/06/2023] [Indexed: 01/11/2023]
Abstract
Division normalization is commonly used in biomechanics studies to remove the effect of anthropometric differences (e.g., body weight) on kinetic variables, facilitating comparison across a population. In spine biomechanics, spinal forces are commonly divided by the body weight or the intervertebral load during a standing posture. However, it has been suggested that offset and power curve normalization are more appropriate than division normalization for normalizing kinetic variables such as ground reaction forces during walking and running. The present study investigated, for the first time, the effectiveness of four techniques for normalizing spinal forces to remove the effect of body weight. Spinal forces at all lumbar levels were estimated using a detailed OpenSim musculoskeletal model of the spine for 11 scaled models (50-100 kg) and during 13 trunk flexion tasks. Pearson correlations of raw and normalized forces against body weight were used to assess the effectiveness of each normalization technique. Body weight and standing division normalization could only successfully normalize L4L5 spinal forces in three tasks, and L5S1 loads in five and three tasks, respectively; however, offset and power curve normalization techniques were successful across all lumbar spine levels and all tasks. Offset normalization successfully removed the effect of body weight and maintained the influence of flexion angle on spinal forces. Thus, we recommend offset normalization to account for anthropometric differences in studies of spinal forces.
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