Dataset Information

Measuring the Motor Aspect of Cancer-Related Fatigue using a Handheld Dynamometer.

ABSTRACT: Cancer-related fatigue (CRF) is commonly reported by patients both during and after receiving treatment for cancer. Current CRF diagnoses rely on self-report questionnaires which are subject to report and recall biases. Objective measurements using a handheld dynamometer, or handgrip device, have been shown in recent studies to correlate significantly with subjective self-reported fatigue scores. However, variations of both the handgrip fatigue test and fatigue index calculations exist in the literature. The lack of standardized methods limits the utilization of the handgrip fatigue test in the clinical and research settings. In this study, we provide detailed methods for administering the physical fatigue test and calculating the fatigue index. These methods should supplement existing self-reported fatigue questionnaires and help clinicians assess fatigue symptom severity in an objective and quantitative manner.

SUBMITTER: Feng LR

PROVIDER: S-EPMC10440732 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Measuring the Motor Aspect of Cancer-Related Fatigue using a Handheld Dynamometer.

Feng Li Rebekah LR Regan Jeniece J Shrader Joseph J Liwang Josephine J Alshawi Sarah S Joseph Jamell J Ross Alexander A Saligan Leorey L

Journal of visualized experiments : JoVE 20200220 156

Cancer-related fatigue (CRF) is commonly reported by patients both during and after receiving treatment for cancer. Current CRF diagnoses rely on self-report questionnaires which are subject to report and recall biases. Objective measurements using a handheld dynamometer, or handgrip device, have been shown in recent studies to correlate significantly with subjective self-reported fatigue scores. However, variations of both the handgrip fatigue test and fatigue index calculations exist in the li ...[more]

PMID: 32150169

Similar Datasets

Project description:IntroductionSuitable handheld dynamometer (HHD)-techniques to test hip abduction strength in individuals with a lower extremity amputation, irrespective of their amputation level are absent. The aim of this study was to optimise a HHD-technique and to test its reproducibility and validity.MethodsThis study involved three phases, in which two techniques were evaluated. Both HHD-techniques used a lever-arm of 22 centimetre. HHD-technique 1 used a break-technique. After obtaining within-session test-retest reproducibility (phase 1) we optimised the HHD-technique by adding a fixation-belt and using a make-technique (HHD-technique 2). We tested the within-session test-retest and inter-rater reproducibility (phase 2) and the validity (phase 3) of HHD-technique 2 using an isokinetic dynamometer. New cohorts of participants were recruited for each phase.ResultsPhase 1: we tested HHD-technique 1 in 26 participants with a lower extremity amputation. It was test-retest reproducible (ICC3.1agreement: 0.80-0.92, standard error of measurement (SEM): 3.1-4.4 Nm and smallest detectable change (SDC): 8.6-12.3 Nm). There were questions regarding the validity of the measurement, because the mean muscle torque of the residual limb and sound limb were similar, which is uncommon. Phase 2: reproducibility of HHD-technique 2 was tested in 44 participants with a lower extremity amputation. It was test-retest reproducible (ICC3.1agreement: 0.96-0.97, SEM: 3.9-4.7 Nm and SDC: 10.9-12.9 Nm) but not inter-rater reproducible despite having good reliability (ICC3.1agreement: 0.92, SEM: 6.9-7.6 Nm and SDC: 19.2-21.2 Nm). Systematic bias and bias related to the magnitude of the muscle torque was suspected. Phase 3: the concurrent validity was established in 30 healthy participants (r = 0.84). Systematic bias in measurement error was present, including a consistent overestimation of the muscle torque of 28% using the HHD.ConclusionHHD-technique 2 is a test-retest reproducible and valid measuring technique The technique may be further optimised by the use of an external device to stabilise the HHD.

Dataset Information

Measuring the Motor Aspect of Cancer-Related Fatigue using a Handheld Dynamometer.

Publications

Measuring the Motor Aspect of Cancer-Related Fatigue using a Handheld Dynamometer.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets