International Journal of Human Factors and Ergonomics
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International Journal of Human Factors and Ergonomics (3 papers in press)
Recurrence quantification analysis to assess structure of breast motion variability for jumping jacks exercise by Joseph E. Langenderfer, Ksenia I. Ustinova Abstract: Prior observations and qualitative descriptions of breast motion suggest that structure of motion variability may be important for understanding how breasts move and how support from bras alters breast and body motion. The purpose of this study was to demonstrate the feasibility of utilising recurrence quantification analysis (RQA) to measure nonlinear properties of breast, thorax and upper-arm motion variability for different breast support levels and breast sizes. Support from bras causes breast motion which is less deterministic and therefore less predictable. Motion of larger breasts is less random and more complex, but these nonlinear aspects of motion, unlike amplitude, are not as dependent on size. These findings increase understanding of the structure of breast and body motion variability and how bras influence the motions. Such information may improve bra design with the goal of allowing more effective human performance of work and exercise. Keywords: recurrence quantification analysis; RQA; brassiere; nonlinear; upper extremity. DOI: 10.1504/IJHFE.2022.10046341
The multifactorial causes of caregiver work-related disabilities: a systematic literature review by Abdulelah M. Ali, Mohd Mukhtar Alam Abstract: The purpose of this review is to discuss multifactorial causes of caregiver work-related disability. A systematised literature search was accomplished from numerous sources viz., PubMed, MEDLINE, CINAHL, and EMBASE to identify relevant studies published from 2002 to 2020. The studies were included based on a relevance and bibliographic search rating. In this review: 1) caregiver was involved in physically demanding work leading to MSD (comprising specific and non-specific musculoskeletal pain and discomfort); 2) intervention was commenced and/or performed at workstations; 3) comparison groups were included; 4) MSD measurements were reported (musculoskeletal discomfort, symptoms, prevalence or pain). This review confirmed that caregivers were susceptible to WMSD, especially back pain and injuries. Risk factors predisposing to low back pain and injury are inadequate patient transfer skills, high physical demands, inadequate conditioning of caregivers, and obesity. Therefore, essential training in work-related accident, prevention policies and ergonomics will assist caregivers. Keywords: musculoskeletal disorders; MSDs; risk factors; patient handling; safety handling program; ergonomics and human factors.
A data-driven approach to assessing and analysing contributing factors to the severity of road accident injuries based on decision-making styles by Ali Ghazizadeh, Mahdi Hamid, Zahra Mehdizadeh Somarin, Behnaz Salimi Abstract: Road accidents are among the important challenges that all communities face. Fatal road accidents are closely related to the severity of the collision, which is affected by a variety of factors, including human error, road conditions and weather conditions. Individual errors are a significant cause of accidents, which are influenced by an individuals behavioural characteristics. Behavioural factors are itself developed by an individuals decision-making style. One of the innovative aspects of this study is the inclusion of drivers decision-making styles in analysing the causes of accidents with severe injuries. Additionally, this study will determine the primary factors that contribute to the severity of injury utilising principal factor analysis and correlation matrix approaches. Our results show that flexible and hierarchical decision-making styles are the dominant styles in all groups. Non-observance of safe distance, vehicle defects, and bad weather are the three foremost factors affecting the severity of injuries. Human factors with nearly 60% importance, is the most important group of features in determining injury severity. Furthermore, the features of not wearing a seat belt, using a mobile phone while driving, and not observing a safe distance have the most positive alignment with injury, respectively. Keywords: road accident; decision-making style; injury severity; principal component analysis; PCA; correlation matrix. DOI: 10.1504/IJHFE.2022.10046899