Objective
To investigate the dose-related effect of trunk control training (TCT) using Trunk Stability Rehabilitation Robot Balance Trainer (TSRRBT) in chronic stroke patients with poor sitting balance.
Methods
This was a retrospective study of 38 chronic stroke patients with poor sitting balance that underwent TCT with TSRRBT. The participants were assigned either to the low-dose training (LDT) group (n=18) or to the highdose training (HDT) group (n=20). In addition to the conventional rehabilitation therapy, the LDT group received 5 sessions of TSRRBT intervention per week, whereas the HDT group received 10 sessions of TSRRBT intervention per week. The outcome measures were the scores on the Trunk Impairment Scale (TIS) and its subscales, Berg Balance Scale (BBS), Functional Ambulation Classification (FAC), and the Korean version of Modified Barthel Index (K-MBI). All outcome measures were assessed before the training and at the end of the 4-week training.
Results
After the 4-week intervention, TIS, BBS, FAC, and K-MBI scores showed improvement in both LDT and HDT groups. Furthermore, the improvements in TIS scores and its subscales were significantly greater in the HDT group than in the LDT group (p<0.05).
Conclusion
TCT using TSRRBT could be an additional treatment for the conventional rehabilitation therapy of chronic stroke patients with poor sitting balance. HDT may provide more beneficial effects on improving patients’ sitting balance than LDT.

Citations

• Investigation of the reliability and validity of the Turkish version of the Sitting Balance Scale in individuals with stroke
  Kübra Çapraz, Saniye Aydoğan Arslan, Teoman Çolak
  Acta Neurologica Belgica.2024; 124(1): 81.     CrossRef
• Effects of trunk exercises using virtual reality technology on trunk performance and impairment post stroke: a systematic review and meta-analysis
  Norah A Alhwoaimel, Aqeel M Alenazi, Ahmad S Alhowimel, Bader A Alqahtani, Mohammed M Alshehri
  Topics in Stroke Rehabilitation.2024; 31(4): 399.     CrossRef
• A Strong Core for a Strong Recovery: A Scoping Review of Methods to Improve Trunk Control and Core Stability of People with Different Neurological Conditions
  Giorgia Marchesi, Greta Arena, Alice Parey, Alice De Luca, Maura Casadio, Camilla Pierella, Valentina Squeri
  Applied Sciences.2024; 14(11): 4889.     CrossRef
• Video Game-Based Trunk Exercises for Rehabilitation in Chronic Stroke Survivors: A Mixed-Methods Feasibility Study
  Norah A. Alhwoaimel, Ann-Marie Hughes, Martin Warner, Aqeel M. Alenazi, Mohammed M. Alshehri, Bader A. Alqahtani, Ahmed S. Alhowimel, Richard Wagland, Simon Brown, Ruth Turk
  Sensors.2024; 24(21): 6830.     CrossRef
• Trunk training following stroke
  Liselot Thijs, Eline Voets, Stijn Denissen, Jan Mehrholz, Bernhard Elsner, Robin Lemmens, Geert SAF Verheyden
  Cochrane Database of Systematic Reviews.2023;[Epub]     CrossRef
• A Novel Trunk Rehabilitation Robot Based Evaluation of Seated Balance Under Varying Seat Surface and Visual Conditions
  Amre Eizad, Hosu Lee, Sanghun Pyo, Muhammad Raheel Afzal, Sung-Ki Lyu, Jungwon Yoon
  IEEE Access.2020; 8: 204902.     CrossRef
• Effects of Breathing Exercise in the Water on Pulmonary Function and Maximum Phonation Time of Children with Cerebral Palsy
  Je-Wook Lee, Gak Hwangbo
  Journal of The Korean Society of Physical Medicine.2019; 14(3): 91.     CrossRef

Objective
To evaluate the influence of hemispatial neglect on trunk balance control and functional ability in stroke patients. Method: Fourty eight inpatients exhibiting (n=25) or not exhibiting (n=23) hemispatial neglect following strokes within 6 months were matched for age and sex. Hemispatial neglect was assessed with a line bisection test (LBT) and a baking tray task test (BTT). Static and dynamic trunk balance control was assessed using a Balance Master System. Static balance control was measured with a weight bearing test and a Modified Clinical Sensory Interaction Balance Test (mCSIBT). Dynamic balance control was measured using a Limit of Stability (LOS) test and a rhythmic weight shift (RWS) test. A Functional Independence Measure (FIM) for functional ability and the Brunnstrom stage assessment for motor recovery were also recorded. Results: There was no statistical difference in the achievement of static trunk balance control between neglect and non-neglect patients. Where dynamic balance control was concerned, both LOS and RWS tests showed a deterioration in neglect patients compared to non-neglect patients (p＜0.05). The Brunnstrom stage correlated significantly with dynamic balance control only in non-neglect patients (p＜0.05) and the FIM score of neglect patients was significantly lower than that of non-neglect patients (p＜0.05). Conclusion: Stroke patients with hemispatial neglect displayed pronounced dynamic trunk instability and functional dependency compared to patients without it. However, the recovery of dynamic balance control may not relate to the degree of motor recovery in stroke patients with hemispatial neglect. (J Korean Acad Rehab Med 2009; 33: 463-469)

Objective
To plan the goals of the rehabilitation management after stroke, it was important to know functional prognosis of the patients. The purpose of this article was to predict functional outcomes of stroke patients by means of an analysis of the well-known prognostic factors of function at admission.

Method: This study was performed retrospectively on 102 patients with acute stroke who were admitted to Department of Rehabilitation Medicine. The inpatients, clinical and functional evaluation were carried out at admission. Functional abilities were measured with the use of the Functional Ambulatory Category (FAC) and the modified Barthel Index (MBI).

Results: The significant prognostic factors of FAC improvement rate were age, National Institute of Health Stroke Scale (NIHSS), Morticity Index, MBI, Mini-Mental State Examination (MMSE), aphasia and Trunk Control Test (TCT) (p＜0.01). The most valuable single factor of FAC improvement rate was TCT. The significant prognostic factors of MBI improvement rate were age, NIHSS, Morticity Index, MMSE, aphasia and TCT (p＜0.01). The most valuable single factor of MBI improvement rate was TCT.

Conclusion: We concluded that TCT could be the most valuable prognostic factor in rehabilitation management outcome of stroke.