Scapular dyskinesis study by principal component analysis applied to 3-dimensional kinematics scapulotoracic data

• Grant number: 14/09485-0
• Support Opportunities: Scholarships in Brazil - Doctorate
• Start date: August 01, 2014
• End date: April 30, 2018
• Field of knowledge: Health Sciences - Physiotherapy and Occupational Therapy
• Agreement: Coordination of Improvement of Higher Education Personnel (CAPES)
• Principal Investigator: Anamaria Siriani de Oliveira
• Grantee: Denise Martineli Rossi
• Host Institution: Faculdade de Medicina de Ribeirão Preto (FMRP). Universidade de São Paulo (USP). Ribeirão Preto , SP, Brazil
• Associated scholarship(s): 15/02116-1 - Investigating musculoskeletal implications of wearing a soft exosuit, BE.EP.DR

Abstract

Considering the lack of evidence of the complete role of the scapular dyskinesis (SD) under the conditions of the shoulder and the goal of Principal Component Analysis (PCA ) to reduce the dimensionality of multivariate data while maximizing its variance, this study proposes the application of this method to data of scapulothoracic kinematics, in order to reveal the characteristics of temporal curves of translation and scapular rotation in healthy subjects and subjects with SD and with and without associated shoulder symptoms. The sample will consist of participants of both sexes (n=75), sedentary or irregularly active, aged between 18 and 40 years will be classified into three groups: Group 1 (n=25), control subjects without SD and no symptoms), group 2 (n=25, subjects with SD and no symptoms) and group 3 (n=25, subjects with SD and presence of symptoms). The inclusion will be determined after clinical and observational assessment of SD. Subsequently three-dimensional analysis of the scapula and the scapular sagittal plane with the electromagnetic Liberty ® (Polhemus Inc) system will be performed according to international recommendations. The data will be processed and analyzed through the ACP to determine the main variation in temporal series and the scores of each individual will be analyzed as dependent variables for comparisons between groups. Then, a discriminant analysis will be performed with the scores of each individual in each of principal components. Thus, it is expected to contribute new data to the literature, adding information about the existence of one or more movements of this articulation that distinguishes the groups regarding the variability of movement. (AU)

Scientific publications

(The scientific publications listed on this page originate from the Web of Science or SciELO databases. Their authors have cited FAPESP grant or fellowship project numbers awarded to Principal Investigators or Fellowship Recipients, whether or not they are among the authors. This information is collected automatically and retrieved directly from those bibliometric databases.)

ROSSI, DENISE M.; RESENDE, RENAN A.; HOTTA, GISELE H.; DA FONSECA, SERGIO T.; DE OLIVEIRA, ANAMARIA S.. Altered Scapular Time Series in Individuals With Subacromial Pain Syndrome. JOURNAL OF APPLIED BIOMECHANICS, v. 36, n. 2, p. 113-121, APR 2020. (14/09485-0)

ROSSI, DENISE M.; RESENDE, RENAN A.; FAYAO, JULIA G.; DA FONSECA, SERGIO T.; DE OLIVEIRA, ANAMARIA S.. Interaction of scapular dyskinesis with hand dominance on three-dimensional scapular kinematics. JOURNAL OF BODYWORK AND MOVEMENT THERAPIES, v. 30, p. 6-pg., 2022-04-01. (14/09485-0)

ROSSI, DENISE MARTINELI; RESENDE, RENAN ALVES; DA FONSECA, SERGIO TEIXEIRA; DE OLIVEIRA, ANAMARIA SIRIANI. Scapulothoracic kinematic pattern in the shoulder pain and scapular dyskinesis: A principal component analysis approach. JOURNAL OF BIOMECHANICS, v. 77, p. 138-145, AUG 22 2018. (14/09485-0)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

ROSSI, Denise Martineli. Scapular dyskinesis study by principal component analysis applied to 3-Dimensional kinematics scapulothoracic data. 2018. Doctoral Thesis - Universidade de São Paulo (USP). Faculdade de Medicina de Ribeirão Preto (PCARP/BC) Ribeirão Preto.