Posture class prediction of pre-peak height velocity subjects according to gross body segment orientations using linear discriminant analysis.
Background/purpose: Measurement and classification of standing posture in the sagittal plane has important clinical implications for adolescent spinal disorders. Previous work using cluster analysis on three gross body segment orientation parameters (lower limbs, trunk, and entire body inclination)...
| Published in: | European Spine Journal Vol. 23; no. 3; pp. 530 - 536 |
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| Main Authors: | , , , , , |
| Format: | research Journal Article |
| Published: |
Springer Nature
Mar2014
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=103812288&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 103812288 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09406719 NPI jtl: European Spine Journal issn: 09406719 maglogo: N pubinfo: dt: Mar2014 vid: 23 iid: 3 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 103812288 NLM24097292 2012495530 10.1007/s00586-013-3058-0 NLM24097292 PMC3940786 103812288 ppf: 530 ppct: 6 formats: tig: atl: Posture class prediction of pre-peak height velocity subjects according to gross body segment orientations using linear discriminant analysis. aug: au: Dolphens, Mieke Cagnie, Barbara Coorevits, Pascal Vleeming, Andry Palmans, Tanneke Danneels, Lieven affil: Department of Rehabilitation Sciences and Physiotherapy, Faculty of Medicine and Health Sciences, Ghent University, Campus Heymans (UZ, 3B3), De Pintelaan 185, 9000, Ghent, Belgium, Mieke.Dolphens@UGent.be. sug: subj: Models, Theoretical Balance, Postural Physiology Posture Physiology Adolescence Child Cluster Analysis Dimensionality Reduction Female Human Male Pelvis Physiology Torso Physiology Adolescent: 13-18 years Child: 6-12 years Female Male ab: Background/purpose: Measurement and classification of standing posture in the sagittal plane has important clinical implications for adolescent spinal disorders. Previous work using cluster analysis on three gross body segment orientation parameters (lower limbs, trunk, and entire body inclination) has identified three distinct postural groups of healthy subjects before pubertal peak growth: "neutral", "sway-back", and "leaning-forward". Although accurate postural subgrouping may be proposed to be crucial in understanding biomechanical challenges posed by usual standing, there is currently no objective method available for class assignment. Hence, this paper introduces a novel approach to subclassify new cases objectively according to their overall sagittal balance.Methods: Postural data previously acquired from 1,196 pre-peak height velocity (pre-PHV) subjects were used in this study. To derive a classification rule for assigning a class label ("neutral", "sway-back", or "leaning-forward") to any new pre-PHV subjects, linear discriminant analysis was applied. Predictor variables were pelvic displacement, trunk lean and body lean angle. The performance of the newly developed classification algorithm was verified by adopting a cross-validation procedure.Results: The statistical model correctly classified over 96.2% of original grouped subjects. In the cross-validation procedure used, over 95.9% of subjects were correctly assigned.Conclusions: Based on three angular measures describing gross body segment orientation, our triage method is capable of reliably classifying pre-PHV subjects as either "neutral", "sway-back", or "leaning-forward". The discriminant prediction equations presented here enable a highly accurate posture class allocation of new cases with a prediction capability higher than 95.9%, thereby removing subjectivity from sagittal plane posture classification. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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