S Egan1, P Brama2, D McGrath1. 1. Institute for Sport and Health, School of Public Health, Physiotherapy and Sport Science, University College Dublin, Dublin, Ireland. 2. Section Veterinary Clinical Sciences, School of Veterinary Medicine, University College Dublin, Dublin, Ireland.
Abstract
BACKGROUND: Since Muybridge's 'horse in motion', researchers in the equine movement analysis field continue to improve objective analysis and performance monitoring while ensuring representative data capture. However, subjective evaluation remains the primary method of equine gait analysis in the applied setting, despite evidence highlighting the unreliability of this approach. OBJECTIVES: To map research trends, limitations and opportunities across the diverse equine gait analysis literature. STUDY DESIGN: Joanna Briggs Institute and Cochrane systematic scoping review. METHODS: Search terms were chosen based on the 'PICO' framework and included keywords such as: Equine, Gait, Kinematics and Analysis. Studies were excluded based on predetermined criteria by two independent researchers. Data were extracted from 510 articles from 1978 to 2018. RESULTS: Insights derived from movement analysis appear to be driven by tool availability. Observational research (42.9%) was the most popular study design. Use of wearable technology as a primary research tool is established within the field, accounting for 13.5% of studies. Analysis of limitations identified 17.8% of studies citing challenges to the transferability of research results. Restricted sample size appears to be an underlying contributor to many of the limitations identified. In terms of research opportunities, advances in intervention studies were called for (10.4% of studies) in the following three areas; clinical, rehabilitative exercise and performance/training. MAIN LIMITATIONS: This review was confined to research in the English language. CONCLUSIONS: Standardised research reporting may alleviate sample size issues by facilitating data pooling, database creation and meta-analyses. Large holistic data collections and application frameworks based on wearable technologies are not reflected in the current equine gait analysis literature and thus represent an interesting opportunity for this field. Progress and lessons learned from the human field of movement analysis can be useful in supporting this potential development.
BACKGROUND: Since Muybridge's 'horse in motion', researchers in the equine movement analysis field continue to improve objective analysis and performance monitoring while ensuring representative data capture. However, subjective evaluation remains the primary method of equine gait analysis in the applied setting, despite evidence highlighting the unreliability of this approach. OBJECTIVES: To map research trends, limitations and opportunities across the diverse equine gait analysis literature. STUDY DESIGN: Joanna Briggs Institute and Cochrane systematic scoping review. METHODS: Search terms were chosen based on the 'PICO' framework and included keywords such as: Equine, Gait, Kinematics and Analysis. Studies were excluded based on predetermined criteria by two independent researchers. Data were extracted from 510 articles from 1978 to 2018. RESULTS: Insights derived from movement analysis appear to be driven by tool availability. Observational research (42.9%) was the most popular study design. Use of wearable technology as a primary research tool is established within the field, accounting for 13.5% of studies. Analysis of limitations identified 17.8% of studies citing challenges to the transferability of research results. Restricted sample size appears to be an underlying contributor to many of the limitations identified. In terms of research opportunities, advances in intervention studies were called for (10.4% of studies) in the following three areas; clinical, rehabilitative exercise and performance/training. MAIN LIMITATIONS: This review was confined to research in the English language. CONCLUSIONS: Standardised research reporting may alleviate sample size issues by facilitating data pooling, database creation and meta-analyses. Large holistic data collections and application frameworks based on wearable technologies are not reflected in the current equine gait analysis literature and thus represent an interesting opportunity for this field. Progress and lessons learned from the human field of movement analysis can be useful in supporting this potential development.
Authors: Anne Ricard; Bernard Dumont Saint Priest; Marjorie Chassier; Margot Sabbagh; Sophie Danvy Journal: PLoS One Date: 2020-12-16 Impact factor: 3.240
Authors: Manon Dugué; Bernard Dumont Saint Priest; Harmony Crichan; Sophie Danvy; Anne Ricard Journal: Front Genet Date: 2021-01-29 Impact factor: 4.599