Gender and body height discriminate spinal movement patterns during lifting and lowering tasks.
This study aimed to explore the relationships between gender, anthropometrics, and spinal movement patterns (SMP) during lifting and lowering tasks. Thirty adults lifted and lowered a 15 kg-box using a freestyle, squat, and stoop technique. A stepwise segmentation approach, along with the timing of...
| Publicado en: | Ergonomics Vol. 69; no. 6; pp. 994 - 1007 |
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| Autores principales: | , , , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Jun2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=193835286&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 193835286 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00140139 ERO jtl: Ergonomics issn: 00140139 maglogo: Y pubinfo: dt: Jun2026 vid: 69 iid: 6 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 193835286 184858205 193835286 193835286 10.1080/00140139.2025.2496950 193835286 ppf: 994 ppct: 13 formats: tig: atl: Gender and body height discriminate spinal movement patterns during lifting and lowering tasks. aug: au: Nematimoez, Mehdi Bangerter, Christian Von Arx, Michael Liechti, Melanie Schmid, Stefan affil: Department of Sport Biomechanics, University of Bojnord, Bojnord, Iran sug: subj: Body Height Spine Physiology Movement Lifting Weight-Bearing Task Performance and Analysis Sex Factors Human Male Female Adult Middle Age Correlational Studies Anthropometry Squatting Cluster Analysis Thoracic Vertebrae Back Injuries Prevention and Control Spinal Injuries Prevention and Control Ergonomics Retrospective Design Multiple Linear Regression Descriptive Statistics Data Analysis Software Adult: 19-44 years Middle Aged: 45-64 years Male Female ab: This study aimed to explore the relationships between gender, anthropometrics, and spinal movement patterns (SMP) during lifting and lowering tasks. Thirty adults lifted and lowered a 15 kg-box using a freestyle, squat, and stoop technique. A stepwise segmentation approach, along with the timing of main inflection points of relative angles, was used to distinguish various spinal movement patterns. Temporal multi-segmental interactions were categorised, and their frequencies were analysed based on segments and lifting techniques. SMP's demonstrated varying associations with gender and anthropometric factors during lifting and lowering phases. Notably, during stoop lifting, females tended towards a bottom-up pattern, contrasting with males' preference for a simultaneous pattern. Cluster analysis highlighted the bottom-up pattern in the thoracic spine as the most prominent discriminating factor among females. This SMP categorisation method holds potential for designing tailored manual material handling strategies and re-evaluating therapeutic and exercise programs in occupational, clinical, and sport contexts. Practitioner Summary: There is little information about multi-segmental spinal movement pattern and its relation to individual characteristics during lifting and lowering. Based on the results of this experimental study, gender, height, technique and their combinations could influence spinal movement pattern and be used for designing more subject-specific exercise programs in ergonomic settings. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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