1
|
Armstrong DP, Budarick AR, Pegg CEE, Graham RB, Fischer SL. Feature Detection and Biomechanical Analysis to Objectively Identify High Exposure Movement Strategies When Performing the EPIC Lift Capacity test. JOURNAL OF OCCUPATIONAL REHABILITATION 2021; 31:50-62. [PMID: 32248432 DOI: 10.1007/s10926-020-09890-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Purpose The Epic Lift Capacity (ELC) test is used to determine a worker's maximum lifting capacity. In the ELC test, maximum lifting capacity is often determined as the maximum weight lifted without exhibiting a visually appraised "high-risk workstyle." However, the criteria for evaluating lifting mechanics have limited justification. This study applies feature detection and biomechanical analysis to motion capture data obtained while participants performed the ELC test to objectively identify aspects of movement that may help define "high-risk workstyle". Method In this cross-sectional study, 24 participants completed the ELC test. We applied Principal Component Analysis, as a feature detection approach, and biomechanical analysis to motion capture data to objectively identify movement features related to biomechanical exposure on the low back and shoulders. Principal component scores were compared between high and low exposure trials (relative to median exposure) to determine if features of movement differed. Features were interpreted using single component reconstructions of principal components. Results Statistical testing showed that low exposure lifts and lowers maintained the body closer to the load, exhibited squat-like movement (greater knee flexion, wider base of support), and remained closer to neutral posture at the low back (less forward flexion and axial twist) and shoulder (less flexion and abduction). Conclusions Use of feature detection and biomechanical analyses revealed movement features related to biomechanical exposure at the low back and shoulders. The objectively identified criteria could augment the existing scoring criteria for ELC test technique assessment. In the future, such features can inform the design of classifiers to objectively identify "high-risk workstyle" in real-time.
Collapse
Affiliation(s)
- Daniel P Armstrong
- Department of Kinesiology, University of Waterloo, 200 University Avenue West, Waterloo, ON, N2L 3G1, Canada
| | - Aleksandra R Budarick
- Department of Kinesiology, University of Waterloo, 200 University Avenue West, Waterloo, ON, N2L 3G1, Canada
| | - Claragh E E Pegg
- Department of Kinesiology, University of Waterloo, 200 University Avenue West, Waterloo, ON, N2L 3G1, Canada
| | - Ryan B Graham
- Department of Kinesiology, University of Waterloo, 200 University Avenue West, Waterloo, ON, N2L 3G1, Canada
- School of Human Kinetics, Faculty of Health Sciences, University of Ottawa, 75 Laurier Avenue East, Ottawa, ON, K1N 6N5, Canada
| | - Steven L Fischer
- Department of Kinesiology, University of Waterloo, 200 University Avenue West, Waterloo, ON, N2L 3G1, Canada.
| |
Collapse
|
2
|
Killer B, Bussey K, Hawes DJ, Hunt C. A meta-analysis of the relationship between moral disengagement and bullying roles in youth. Aggress Behav 2019; 45:450-462. [PMID: 30900277 DOI: 10.1002/ab.21833] [Citation(s) in RCA: 56] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Revised: 02/26/2019] [Accepted: 03/08/2019] [Indexed: 12/31/2022]
Abstract
Over the last several years, researchers have become increasingly interested in the influence of moral factors on bullying behaviors. This is the first meta-analytic review to exclusively examine the relationship between moral disengagement (MD) and the key bullying roles of bully, victim, defender, and bystander. Forty-seven independent samples examining a total of 43,809 children/adolescents (aged 7-19) were included in this meta-analysis. Results indicated a positive relationship between MD and bullying (r = 0.31; 95% CI [0.27, 0.34]), MD and victimization (r = 0.08; 95% CI [0.05, 0.12]), and a negative relationship between MD and defending (r = -0.11; 95% CI [-0.17, -0.04]). No significant relationship was found for MD and bystanding behavior. Moderators of bullying type (traditional vs. cyberbullying), reporting type (self vs. peer report), age, and gender were included in the analyses. The results are discussed in the context of relevant literature with particular emphasis on the importance of distinguishing between guilty and unconcerned bystanders, and the significant overlap between bullying and victimization in the cyber context.
Collapse
Affiliation(s)
- Brittany Killer
- School of PsychologyThe University of SydneySydney New South Wales Australia
| | - Kay Bussey
- Department of PsychologyMacquarie UniversitySydney New South Wales Australia
| | - David J Hawes
- School of PsychologyThe University of SydneySydney New South Wales Australia
| | - Caroline Hunt
- School of PsychologyThe University of SydneySydney New South Wales Australia
| |
Collapse
|
3
|
Ansuategui Echeita J, Bethge M, van Holland BJ, Gross DP, Kool J, Oesch P, Trippolini MA, Chapman E, Cheng ASK, Sellars R, Spavins M, Streibelt M, van der Wurff P, Reneman MF. Functional Capacity Evaluation in Different Societal Contexts: Results of a Multicountry Study. JOURNAL OF OCCUPATIONAL REHABILITATION 2019; 29:222-236. [PMID: 29802582 PMCID: PMC6510856 DOI: 10.1007/s10926-018-9782-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
Purpose To examine factors associated with Functional Capacity Evaluation (FCE) results in patients with painful musculoskeletal conditions, with focus on social factors across multiple countries. Methods International cross-sectional study was performed within care as usual. Simple and multiple multilevel linear regression analyses which considered measurement's dependency within clinicians and country were conducted: FCE characteristics and biopsychosocial variables from patients and clinicians as independent variables; and FCE results (floor-to-waist lift, six-minute walk, and handgrip strength) as dependent variables. Results Data were collected for 372 patients, 54 clinicians, 18 facilities and 8 countries. Patients' height and reported pain intensity were consistently associated with every FCE result. Patients' sex, height, reported pain intensity, effort during FCE, social isolation, and disability, clinician's observed physical effort, and whether FCE test was prematurely ended were associated with lift. Patient's height, Body Mass Index, post-test heart-rate, reported pain intensity and effort during FCE, days off work, and whether FCE test was prematurely ended were associated with walk. Patient's age, sex, height, affected body area, reported pain intensity and catastrophizing, and physical work demands were associated with handgrip. Final regression models explained 38‒65% of total variance. Clinician and country random effects composed 1-39% of total residual variance in these models. Conclusion Biopsychosocial factors were associated with every FCE result across multiple countries; specifically, patients' height, reported pain intensity, clinician, and measurement country. Social factors, which had been under-researched, were consistently associated with FCE performances. Patients' FCE results should be considered from a biopsychosocial perspective, including different social contexts.
Collapse
Affiliation(s)
- Jone Ansuategui Echeita
- Department of Rehabilitation Medicine, University Medical Center Groningen, University of Groningen, P.O. Box 30.002, 9750 RA, Haren, Groningen, The Netherlands.
| | - Matthias Bethge
- Institute of Social Medicine and Epidemiology, University of Lübeck, Lübeck, Germany
| | - Berry J van Holland
- Institute for Sports Studies, Hanze University of Applied Sciences, Groningen, The Netherlands
| | - Douglas P Gross
- Department of Physical Therapy, University of Alberta, Edmonton, AB, Canada
| | - Jan Kool
- Rehabilitation Centre Valens, Valens, Switzerland
| | - Peter Oesch
- Rehabilitation Centre Valens, Valens, Switzerland
| | - Maurizio A Trippolini
- Center for Disability Research, Liberty Mutual Research Institute for Safety, Hopkinton, Boston, USA
- PhD in Rehabilitation Sciences Program, Institute for Health Professions, Massachusetts General Hospital (MGH), Charlestown, Boston, USA
- Department of Work Rehabilitation, Rehaklinik Bellikon, Suva Care, Bellikon, Switzerland
| | | | - Andy S K Cheng
- Ergonomics and Human Performance Laboratory, Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, China
| | | | | | - Marco Streibelt
- Department of Rehabilitation, German Federal Pension Insurance, Berlin, Germany
| | - Peter van der Wurff
- Research & Development, Military Rehabilitation Center Aardenburg, Doorn, The Netherlands
- Institute for Human Movement Studies, HU University of Applied Sciences, Utrecht, The Netherlands
| | - Michiel F Reneman
- Department of Rehabilitation Medicine, University Medical Center Groningen, University of Groningen, P.O. Box 30.002, 9750 RA, Haren, Groningen, The Netherlands
| |
Collapse
|