: Rotator cuff tendonitis (RCT) is one of the most common shoulder pathologies. It causes pain, limits shoulder joint movements, and impairs function. Despite various treatment methods, there are currently no specific guidelines regarding the most effective intervention for RCT. To the best of our knowledge, no studies have compared the effects of Kinesio taping (KT) and cold therapy (CT) on individuals with RCT. To this end, this study aimed to investigate and compare the short-term effects of KT and CT on pain relief and upper extremity functionality in individuals with RCT. : One hundred and fourteen individuals were assessed for eligibility. Fifty-two individuals with RCT who met the inclusion criteria and agreed to participate were randomly allocated into either the KT or the CT group. A standardized home exercise program was given to all the participants. Their pain intensity, upper extremity function, shoulder range of motion (ROM), and grip strength were evaluated initially and after the three days of KT or CT applications. : All the assessment values significantly improved in the KT group. In the CT group, only the pain scores (except for the numerical rating scale (NRS) pain score during activity) were significantly improved in the CT group at the end of the third day of application compared to the initial values ( < 0.05). For all the measurement outcomes, the effects of time × group interactions were statistically significant ( < 0.05) in favor of the KT group, except for the resting pain ( = 0.688). : The findings suggest that KT and CT could be used as adjunctive modalities to exercise for resting and night pain relief in patients with RCT. KT also had positive effects on the activity pain, function, ROM, and grip strength. The use of KT along with an exercise program could be a more effective therapeutic choice than the use of CT for improving night pain, activity pain, and upper extremity function during the short-term rehabilitation of RCT patients.
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http://dx.doi.org/10.3390/medicina60081188 | DOI Listing |
Exp Brain Res
December 2024
School of Biomedical sciences, University of Leeds, Leeds, UK.
Current clinical assessment tools don't fully capture the genuine neural deficits experienced by chronic stroke survivors and, consequently, they don't fully explain motor function throughout everyday life. Towards addressing this problem, here we aimed to characterise post-stroke alterations in upper-limb control from a novel perspective to the muscle synergy by applying, for the first time, a computational approach that quantifies diverse types of functional muscle interactions (i.e.
View Article and Find Full Text PDFJ Orthop Surg Res
December 2024
Department of Orthopaedic Surgery, Henry Ford Hospital, Henry Ford Health, 2799 W. Grand Blvd CFP-6, Detroit, MI, 48202, USA.
Background: Socioeconomic status has been recognized as a crucial social determinant of health influencing patient outcomes. Area Deprivation Index (ADI) is a validated measure of an area's socioeconomic status. Limited data exists on the impact of ADI and clinical outcomes and complications following rotator cuff repair (RCR).
View Article and Find Full Text PDFJ Integr Med
December 2024
Yueyang Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China; Shanghai Research Institute of Acupuncture and Meridian, Shanghai 200030, China. Electronic address:
Background: China is seeing a growing demand for rehabilitation treatments for post-stroke upper limb spastic paresis (PSSP-UL). Although acupuncture is known to be effective for PSSP-UL, there is room to enhance its efficacy.
Objective: This study explored a semi-personalized acupuncture approach for PSSP-UL that used three-dimensional kinematic analysis (3DKA) results to select additional acupoints, and investigated the feasibility, efficacy and safety of this approach.
J Am Med Dir Assoc
December 2024
School of Nursing, Peking University, Beijing, China. Electronic address:
Objectives: Malnutrition is generally studied to be involved in outlining hazard frailty trajectories, resulting in adverse outcomes. In view of frailty's multidimensional nature, we aimed to assess the contribution of nutritional items in existing frailty tools to adverse outcomes, and develop and validate a nutritional frailty phenotype based on machine learning.
Design: A population-based prospective cohort study.
J Neuroeng Rehabil
December 2024
Key Laboratory of Biorheological Science and Technology of Ministry of Education, Chongqing University, Chongqing, 400044, P.R. China.
Background: Neural activation induced by upper extremity robot-assisted training (UE-RAT) helps characterize adaptive changes in the brains of poststroke patients, revealing differences in recovery potential among patients. However, it remains unclear whether these task-related neural activities can effectively predict rehabilitation outcomes. In this study, we utilized functional near-infrared spectroscopy (fNIRS) to measure participants' neural activity profiles during resting and UE-RAT tasks and developed models via machine learning to verify whether task-related functional brain responses can predict the recovery of upper limb motor function.
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