Literature DB >> 11415728

Analysis of the sit-stand-sit movement cycle in normal subjects.

K M Kerr1, J A White, D A Barr, R A B Mollan.   

Abstract

OBJECTIVE: This study aimed to establish a basis of descriptive data for the sit-stand-sit movement cycle in 50 normal subjects, 25 male and 25 female, aged between 20.1 and 78.3 years (mean age 46.8 years).
DESIGN: A descriptive design was employed to establish the characteristics of the activity in normal subjects.
BACKGROUND: Research has been carried out into kinetic and kinematic characteristics of the sit-to-stand movement, but few researchers have considered stand-to-sit. Most studies have involved small samples, subjects with pathology, or elderly subjects, so a baseline of data from normal subjects has not yet been established.
METHOD: Linear displacement and acceleration of the trunk and angular displacement of the knee were recorded simultaneously within the same temporal framework. The measurement system consisted of a vector stereograph, and triaxial accelerometers located at the level of C(7), and an electrogoniometer located at the lateral aspect of the knee. Subjects rose from and descended to the seated position a total of six times at their own self-selected speed. Numerical data were subjected to descriptive analysis, matched-pairs t tests and Pearson's rho correlations.
RESULTS: Mean values for the time to rise was 1.91 s and to descend was 1.97 s. Forward lean velocity was greater during rising than descending (P < 0.001), and recovery velocity was greater during descending than rising (P < 0.001). Temporal contributions of forward lean and vertical displacement and the period of overlap between them were identified, and relationships between acceleration and temporal events and components were established. Differences existed among groups, involving primarily the elderly groups and occurring during the rising phase.
CONCLUSIONS: This study has proposed a baseline of descriptive data in normal subjects for the sit-stand-sit movement cycle. RELEVANCE: In practical and clinical applications of information gained from analysis of functional activities, establishment of what is accepted as 'normal' is necessary before abnormalities can be identified and analysed, and intervention implemented and evaluated. This study provides that basis.

Year:  1997        PMID: 11415728     DOI: 10.1016/s0268-0033(96)00077-0

Source DB:  PubMed          Journal:  Clin Biomech (Bristol, Avon)        ISSN: 0268-0033            Impact factor:   2.063


  15 in total

1.  Detection of daily physical activities using a triaxial accelerometer.

Authors:  M J Mathie; A C F Coster; N H Lovell; B G Celler
Journal:  Med Biol Eng Comput       Date:  2003-05       Impact factor: 2.602

2.  Variant and invariant features characterizing natural and reverse whole-body pointing movements.

Authors:  Enrico Chiovetto; Laura Patanè; Thierry Pozzo
Journal:  Exp Brain Res       Date:  2012-02-25       Impact factor: 1.972

3.  Analysis and decomposition of accelerometric signals of trunk and thigh obtained during the sit-to-stand movement.

Authors:  W G M Janssen; J B J Bussmann; H L D Horemans; H J Stam
Journal:  Med Biol Eng Comput       Date:  2005-03       Impact factor: 2.602

4.  Classification and characterization of postural transitions using instrumented shoes.

Authors:  Christopher Moufawad El Achkar; Constanze Lenbole-Hoskovec; Anisoara Paraschiv-Ionescu; Kristof Major; Christophe Büla; Kamiar Aminian
Journal:  Med Biol Eng Comput       Date:  2018-01-12       Impact factor: 2.602

5.  Metrics extracted from a single wearable sensor during sit-stand transitions relate to mobility impairment and fall risk in people with multiple sclerosis.

Authors:  Lindsey J Tulipani; Brett Meyer; Dale Larie; Andrew J Solomon; Ryan S McGinnis
Journal:  Gait Posture       Date:  2020-06-20       Impact factor: 2.840

6.  Abnormal Joint Moment Distributions and Functional Performance During Sit-to-Stand in Femoroacetabular Impingement Patients.

Authors:  Michael A Samaan; Benedikt J Schwaiger; Matthew C Gallo; Thomas M Link; Alan L Zhang; Sharmila Majumdar; Richard B Souza
Journal:  PM R       Date:  2016-10-08       Impact factor: 2.298

7.  A comparative study for performance evaluation of sit-to-stand task with body worn sensor and existing laboratory methods.

Authors:  Rahul Soangra; Thurmon E Lockhart
Journal:  Biomed Sci Instrum       Date:  2012

8.  Inertial measurement units furnish accurate trunk trajectory reconstruction of the sit-to-stand manoeuvre in healthy subjects.

Authors:  Daniele Giansanti; Giovanni Maccioni; Francesco Benvenuti; Velio Macellari
Journal:  Med Biol Eng Comput       Date:  2007-07-25       Impact factor: 2.602

9.  Discovering differences in acoustic emission between healthy and osteoarthritic knees using a four-phase model of sit-stand-sit movements.

Authors:  Lik-Kwan Shark; Hongzhi Chen; John Goodacre
Journal:  Open Med Inform J       Date:  2010-07-27

10.  Analysis for Sit-to-Stand Performance According to the Angle of Knee Flexion in Individuals with Hemiparesis.

Authors:  Mi Young Lee; Hae Yong Lee
Journal:  J Phys Ther Sci       Date:  2014-01-08
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