Quantification of Muscle Strength and Imbalance in Neurogenic Pes Cavus, Compared to Health Controls, Using Hand-Held Dynamometry

2005 ◽  
Vol 26 (7) ◽  
pp. 540-544 ◽  
Author(s):  
Joshua Burns ◽  
Anthony Redmond ◽  
Robert Ouvrier ◽  
Jack Crosbie
Keyword(s):  
Muscle Strength ◽  
Healthy Controls ◽  
Foot And Ankle ◽  
Foot Deformity ◽  
Pes Cavus ◽  
Retest Reliability ◽  
Ankle Muscle ◽  
Cavus Foot ◽  
Muscle Groups ◽  
Test Retest Reliability

Background: Pes cavus foot deformity in neuromuscular disease is thought to be related to an imbalance of musculature around the foot and ankle. The most common cause of neurogenic pes cavus is Charcot-Marie-Tooth (CMT) disease. The aim of this investigation was to objectively quantify muscle strength and imbalance using hand-held dynamometry in patients diagnosed with CMT and pes cavus, compared to healthy controls. Methods: Muscles responsible for inversion, eversion, plantarflexion, and dorsiflexion of the foot and ankle were measured in 55 subjects (11 CMT patients with a frank pes cavus, and 44 healthy controls with normal feet) using the Nicholas hand-held dynamometer (HHD). Test-retest reliability of the HHD procedure also was determined for each of the four muscle groups in the healthy controls. Results: Test-retest reliability of the HHD procedure was excellent (ICC3,1 = 0.88 to 0.95) and the measurement error was low (SEM = 0.3 to 0.7 kg). Patients with CMT were significantly weaker than normal for all foot and ankle muscle groups tested ( p <0.001). Strength ratios of inversion-to-eversion and plantarflexion-to-dorsiflexion were significantly higher in the patients with CMT and pes cavus compared to individuals with normal foot types ( p > 0.01). Conclusions: Hand-held dynamometry is an objective and reliable instrument to measure muscle strength and imbalance in patients with CMT and a pes cavus foot deformity.

scholarly journals Validity and test–retest reliability of a novel simple back extensor muscle strength test

2017 ◽  
Vol 5 ◽  
pp. 205031211668884 ◽  
Author(s):  
Amy T Harding ◽  
Benjamin Kurt Weeks ◽  
Sean A Horan ◽  
Andrew Little ◽  
Steven L Watson ◽  
...  
Keyword(s):  
Muscle Strength ◽  
Strength Test ◽  
Extensor Muscle ◽  
Retest Reliability ◽  
Test Retest Reliability ◽  
Back Extensor

scholarly journals Reduced parietal alpha power and psychotic symptoms: Test-retest reliability of resting-state magnetoencephalography in schizophrenia and healthy controls

2020 ◽  
Vol 215 ◽  
pp. 229-240 ◽  
Author(s):  
Felicha T. Candelaria-Cook ◽  
Megan E. Schendel ◽  
Cesar J. Ojeda ◽  
Juan R. Bustillo ◽  
Julia M. Stephen
Keyword(s):  
Resting State ◽  
Psychotic Symptoms ◽  
Alpha Power ◽  
Healthy Controls ◽  
Retest Reliability ◽  
Test Retest Reliability

scholarly journals Test-Retest Reliability of Pain-Related Brain Activity in Healthy Controls Undergoing Experimental Thermal Pain

2014 ◽  
Vol 15 (10) ◽  
pp. 1008-1014 ◽  
Author(s):  
Janelle E. Letzen ◽  
Landrew S. Sevel ◽  
Charles W. Gay ◽  
Andrew M. O’Shea ◽  
Jason G. Craggs ◽  
...  
Keyword(s):  
Brain Activity ◽  
Healthy Controls ◽  
Retest Reliability ◽  
Thermal Pain ◽  
Test Retest Reliability

scholarly journals Development and Validation of a Computerized Adaptive Assessment Tool for Discrimination and Measurement of Psychotic Symptoms

2020 ◽  
Author(s):  
Daniel Guinart ◽  
Renato de Filippis ◽  
Stella Rosson ◽  
Bhagyashree Patil ◽  
Lara Prizgint ◽  
...  
Keyword(s):  
Convergent Validity ◽  
Computerized Adaptive Testing ◽  
Rating Scale ◽  
Item Bank ◽  
Self Report ◽  
Psychotic Symptoms ◽  
Healthy Controls ◽  
Retest Reliability ◽  
Test Retest Reliability ◽  
Measurement Efficiency

Abstract Objective Time constraints limit the use of measurement-based approaches in research and routine clinical management of psychosis. Computerized adaptive testing (CAT) can reduce administration time, thus increasing measurement efficiency. This study aimed to develop and test the capacity of the CAT-Psychosis battery, both self-administered and rater-administered, to measure the severity of psychotic symptoms and discriminate psychosis from healthy controls. Methods An item bank was developed and calibrated. Two raters administered CAT-Psychosis for inter-rater reliability (IRR). Subjects rated themselves and were retested within 7 days for test-retest reliability. The Brief Psychiatric Rating Scale (BPRS) was administered for convergent validity and chart diagnosis, and the Structured Clinical Interview (SCID) was used to test psychosis discriminant validity. Results Development and calibration study included 649 psychotic patients. Simulations revealed a correlation of r = .92 with the total 73-item bank score, using an average of 12 items. Validation study included 160 additional patients and 40 healthy controls. CAT-Psychosis showed convergent validity (clinician: r = 0.690; 95% confidence interval [95% CI]: 0.610–0.757; self-report: r = .690; 95% CI: 0.609–0.756), IRR (intraclass correlation coefficient [ICC] = 0.733; 95% CI: 0.611–0.828), and test-retest reliability (clinician ICC = 0.862; 95% CI: 0.767–0.922; self-report ICC = 0.815; 95%CI: 0.741–0.871). CAT-Psychosis could discriminate psychosis from healthy controls (clinician: area under the receiver operating characteristic curve [AUC] = 0.965, 95% CI: 0.945–0.984; self-report AUC = 0.850, 95% CI: 0.807–0.894). The median length of the clinician-administered assessment was 5 minutes (interquartile range [IQR]: 3:23–8:29 min) and 1 minute, 20 seconds (IQR: 0:57–2:09 min) for the self-report. Conclusion CAT-Psychosis can quickly and reliably assess the severity of psychosis and discriminate psychotic patients from healthy controls, creating an opportunity for frequent remote assessment and patient/population-level follow-up.

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