Validity and reliability of fatigue severity scale in stroke

Ozyemisci-Taskiran, Ozden; Batur, Elif Balevi; Yüksel, Selcen; Cengiz, Mustafa; Karataş, Gülçin Kaymak

doi:10.1080/10749357.2018.1550957

Cited by 51 publications

(52 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The reliability analyses showed high internal consistency of FSS-9 and FSS-3, and the internal consistency dropped minimally from 0.94 to 0.87 when reducing the number of items from ten (FSS-9 + VAFS) to three (FSS-3). A homogenous and substantial equal internal consistency was also found in studies evaluating FSS-9 in other chronic diseases such as stroke [15], hepatitis C virus infection [13], and multiple sclerosis [29]. A shortened FSS on seven items has also been validated on patients with systemic lupus erythematosus, HIV, or stroke to have minimal change on reliability compared to the FSS-9 [19,21,30].…”

Section: Discussionmentioning

confidence: 81%

“…VAFS measured the people's general experience of fatigue. VAFS is correlated to FSS-9 among various chronic diseases [15], including people with chronic hepatitis C virus infection [18]. VAFS is simpler to ll out compared to FSS-9 and may be used as a supplement to FSS-9 if high reliability and validity.…”

Section: Measuring Fatiguementioning

confidence: 99%

“…Initially, the FSS was developed to evaluate fatigue in people with multiple sclerosis and systemic lupus erythematosus [11]. Later, the FSS-9 was showed to have excellent reliability and validity also for people with other chronic diseases such as hepatitis C virus infection [13], Parkinson's disease [14], stroke [15], and myasthenia gravis [16]. For these chronic diseases, the scores were homogeneous across items when validated FSS-9, and the level of fatigue did not change substantially from one item to another through the questionnaire.…”

Section: Introductionmentioning

confidence: 99%

“…For these chronic diseases, the scores were homogeneous across items when validated FSS-9, and the level of fatigue did not change substantially from one item to another through the questionnaire. Furthermore, VAFS is a 10 cm horizontal line ranged from zero to 10 that estimates the level of fatigue the last week, and was frequently correlated to the level of fatigue reported by FSS [15,17,18].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Validation and Shortening Questionnaires Used in Surveys and Trials on Populations with Substance use Disorders: A Method using the Fatigue Severity Scale

Vold

Gjestad

Aas

et al. 2020

Preprint

View full text Add to dashboard Cite

BackgroundPrecise and valid measurements of health outcomes and exposures among people with substance use disorders (SUDs) is essential to improve health services and health within this group. Unfortunately, many of the standardized questionnaires are validated on other populations and are often too comprehensive, and insufficiently adapted to the group. This may introduce limitations on several aspects that can be assessed but also biases due to research participation fatigue. New methods are needed to validate shortened and adapted questionnaires for this population. This study aims to present a method on how to shorten validated questionnaires and assure a construct validity when applied to SUD populations. MethodsWe used the data from a nested cohort with responses on a nine-item Fatigue Severity Scale (FSS-9), and Visual Analog Fatigue Scale (VAFS) collected from 655 people with SUD in Bergen and Stavanger, Norway, in the period 2016-2020. A total of 225 people filled out FSS-9 and VAFS at least twice. We defined baseline as the first measurement of FSS and VAFS when the measurements were sorted chronologically per participant. A three-step method was used for validation and shortening: Checking of internal consistency; longitudinal confirmatory factor analysis; linear mixed model analysis.ResultsThe internal consistency of FSS-9 was excellent with a Cronbach’s coefficient α on 0.94 at baseline and 0.92 at the second measurement. When shortening FSS-9 to a three-item FSS (FSS-3) (items 5-7), the Cronbach’s coefficient α was 0.87 at baseline and 0.85 at the second measurement. The internal consistency was not affected when VAFS was added to FSS-9 and FSS-3, respectively. The longitudinal confirmatory factor analysis model between baseline and second measurement showed a well-fitted model for FSS-3 (χ2 = 13.33, degree of freedom = 8, P = 0.101) with a correlation on r = 0.52, P < 0.001 between the measurements. The linear mixed model analysis showed equal linear changes at individual level for FSS-3 (slope: 0.00, P > 0.05) and FSS-9 (slope: 0.01, P > 0.05) between the measurements.ConclusionThe ten items could be shortened to a three-item version with excellent validity and reliability. This method could be useful for validating and shortening other questionnaires among patients with SUD and other populations.

show abstract

Section: Discussionmentioning

confidence: 81%

Section: Measuring Fatiguementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Validation and Shortening Questionnaires Used in Surveys and Trials on Populations with Substance use Disorders: A Method using the Fatigue Severity Scale

Vold

Gjestad

Aas

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Fatigue is a common subjective health complaint that signi cantly affects patients with chronic diseases [1][2][3]. The nine-item Fatigue Severity Scale (FSS-9), and the Visual Analog Fatigue Scale (VAFS) are well-known questionnaires for quantifying fatigue and are validated for a broad spectrum of chronic diseases [1][2][3][4][5][6]. For patients with substance use disorders (SUDs), however, the validation and customisation of the fatigue questionnaires are still lacking, and reliable results of quantifying fatigue in this population are not existing.…”

Section: Introductionmentioning

confidence: 99%

Validation of three-item Fatigue Severity Scale for patients with substance use disorder: a cohort study from Norway for the period 2016-2020

Vold

Gjestad

Aas

et al. 2020

Preprint

View full text Add to dashboard Cite

Background Little attention has been paid to customising fatigue questionnaires for patients with Substance Use Disorders (SUDs). The present study aims to validate and shorten the nine-item Fatigue Severity Scale (FSS-9) and Visual Analogue Fatigue Scale (VAFS) for use with this population.MethodsWe used data from a nested cohort with annual health assessments with responses on the FSS-9 and VAFS. During the period 2016–2020, 917 health assessments were collected from 655 patients with SUD in Bergen and Stavanger, Norway. A total of 225 patients answered the health assessment at least twice. We defined baseline as the first annual health assessment when the health assessments were sorted chronologically per patient. We checked for internal consistency, and we used longitudinal confirmatory factor analysis and linear mixed model analysis to validate and shorten the FSS-9 and VAFS. ResultsThe internal consistency of the FSS-9 was excellent with a Cronbach’s α of 0.94 at baseline and 0.93 at the second annual health assessment. When shortening the FSS-9 to a three-item FSS (FSS-3, items 5–7), the Cronbach’s α was 0.87 at baseline and 0.84 at the second health assessment. The internal consistency was not affected when the VAFS was added to the FSS-9 and the FSS-3. The longitudinal confirmatory factor analysis model between baseline and the second health assessment showed a well-fitting model for the FSS-3 (χ2 = 13.33, degree of freedom = 8, P = 0.101) with a correlation of r = 0.52 and P < 0.001 between the annual health assessments. The linear mixed model analysis showed equal linear changes at the individual level for the FSS-3 (slope: 0.00, P > 0.05) and FSS-9 (slope: 0.01, P > 0.05) between the health assessments.ConclusionThe ten items (FSS-9 plus VAFS) could be shortened to a three-item FSS with excellent validity and reliability for patients with SUDs. Shortened and validated fatigue scales may be a way to ensure reliable results in this population.

show abstract

Habitual walking speed and fatigue explain self‐reported functional capacity after stroke

Polese

Albuquerque

Faria‐Fortini

et al. 2022

Physiotherapy Res Intl

View full text Add to dashboard Cite

Introduction: Individuals after stroke present several motor impairments, which reduced the functional capacity. The understanding of modifiable factors which are related to functional capacity in individuals with chronic stroke could better direct clinical practice. However, the mechanisms that could influence functional capacity in individuals with chronic stroke are not fully understood.Objective: This study aimed to determine which modifiable variables would best predict self-reported functional capacity after stroke.

show abstract

Validity and reliability of fatigue severity scale in stroke

Cited by 51 publications

References 32 publications

Validation and Shortening Questionnaires Used in Surveys and Trials on Populations with Substance use Disorders: A Method using the Fatigue Severity Scale

Validation and Shortening Questionnaires Used in Surveys and Trials on Populations with Substance use Disorders: A Method using the Fatigue Severity Scale

Validation of three-item Fatigue Severity Scale for patients with substance use disorder: a cohort study from Norway for the period 2016-2020

Habitual walking speed and fatigue explain self‐reported functional capacity after stroke

Contact Info

Product

Resources

About