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

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Jørn Henrik Vold ◽  
◽  
Rolf Gjestad ◽  
Christer F. Aas ◽  
Eivind Meland ◽  
...  
Keyword(s):  
Substance Use ◽  
Internal Consistency ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Health Assessment ◽  
Fatigue Severity Scale ◽  
Severity Scale ◽  
Validity And Reliability ◽  
Health Assessments ◽  
Fatigue Severity

Abstract 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. Methods We 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 (CFA) and linear mixed model (LMM) analysis to validate and shorten the FSS-9 and VAFS. Results The 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-3 and the FSS-9. The longitudinal CFA model showed a well-fitting model for the FSS-3 (χ2 = 13.33, degree of freedom = 8, P = 0.101). The LMM 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. Conclusion The FSS-9 could be shortened to the FSS-3 with high validity and reliability for patients with SUDs and the addition of VAFS did not provide much added variability.

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

2021 ◽  
Author(s):  
Jørn Henrik Vold ◽  
Rolf Gjestad ◽  
Christer F. Aas ◽  
Eivind Meland ◽  
Kjell Arne Johansson ◽  
...  
Keyword(s):  
Substance Use ◽  
Internal Consistency ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Health Assessment ◽  
Fatigue Severity Scale ◽  
Severity Scale ◽  
Validity And Reliability ◽  
Health Assessments ◽  
Fatigue Severity

Abstract 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 (CFA) and linear mixed model (LMM) 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-3 and the FSS-9. The longitudinal CFA model showed a well-fitting model for the FSS-3 (χ2 = 13.33, degree of freedom = 8, P = 0.101). The LMM 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 FSS-9 could be shortened to the FSS-3 with high validity and reliability for patients with SUDs and the addition of VAFS did not provide much added variability.

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

2020 ◽  
Author(s):  
Jørn Henrik Vold ◽  
Rolf Gjestad ◽  
Christer Aas ◽  
Eivind Meland ◽  
Kjell Arne Johansson ◽  
...  
Keyword(s):  
Substance Use ◽  
Internal Consistency ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Health Assessment ◽  
Fatigue Severity Scale ◽  
Severity Scale ◽  
Validity And Reliability ◽  
Health Assessments ◽  
Fatigue Severity

Abstract 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. Methods We 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 (CFA) and linear mixed model (LMM) analysis to validate and shorten the FSS-9 and VAFS. Results The 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 CFA model showed a well-fitting model for the FSS-3 (χ2 = 13.33, degree of freedom = 8, P = 0.101). The LMM 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. Conclusion The ten items (FSS-9 plus VAFS) could be shortened to a three-item FSS with high validity and reliability for patients with SUDs. Shortened and validated fatigue scales may be a way to ensure reliable results in this population.

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

2020 ◽  
Author(s):  
Jørn Henrik Vold ◽  
Rolf Gjestad ◽  
Christer Aas ◽  
Eivind Meland ◽  
Kjell Arne Johansson ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Internal Consistency ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Health Assessment ◽  
Severity Scale ◽  
Mixed Model Analysis ◽  
Confirmatory Factor ◽  
Health Assessments ◽  
Fatigue Severity

Abstract 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.

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

2020 ◽  
Author(s):  
Jørn Henrik Vold ◽  
Rolf Gjestad ◽  
Christer Aas ◽  
Eivind Meland ◽  
Kjell Arne Johansson ◽  
...  
Keyword(s):  
Substance Use ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Substance Use Disorders ◽  
Internal Consistency ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Severity Scale ◽  
Confirmatory Factor ◽  
Fatigue Severity

Abstract 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.

scholarly journals Impact of clinical and sociodemographic factors on fatigue among patients with substance use disorder: a cohort study from Norway for the period 2016–2020

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Jørn Henrik Vold ◽  
◽  
Rolf Gjestad ◽  
Christer F. Aas ◽  
Fatemeh Chalabianloo ◽  
...  
Keyword(s):  
Substance Use ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Health Assessment ◽  
Sociodemographic Factors ◽  
Opioid Agonist ◽  
Opioid Agonist Therapy ◽  
Sum Score ◽  
Health Assessments ◽  
The Impact

Abstract Background The impact of clinical and sociodemographic factors on fatigue remains unknown among patients with substance use disorders (SUD). This study aims to evaluate fatigue among patients with SUD using a nine-item fatigue severity scale (FSS-9) and identify the impact that clinical and sociodemographic factors – such as injecting substance use, chronic infectious diseases, liver fibrosis, opioid agonist therapy (OAT), debt difficulties, and housing situation – have on fatigue. Methods We used data from a cohort of patients with SUD in Norway with annual health assessments surveying FSS-9 and some clinical and sociodemographic factors. A total of 915 FSS-9 measurements were collected from 654 patients during the period 2016–2020. We defined baseline as the first annual health assessment when the health assessments were listed chronologically. Time was defined as years from baseline. We used a linear mixed model to analyse whether the clinical and sociodemographic factors affected the FSS-9 sum score, presented with beta coefficients (β) with 95% confidence intervals (CI). Results The mean sum score of the FSS-9 was 43 (standard deviation: 16) at baseline. Females compared with males (adjusted mean difference of FSS-9 sum score: 4.1, 95% CI: 1.3–7.0), having debt difficulties compared with having no debt difficulties (2.9;0.4–5.3), and frequent use of benzodiazepines (5.7;3.0–8.4) or amphetamines (-5.0;-8.0– -2.0) compared to less frequent or no use of these substances changed the FSS-9 baseline sum score. The other clinical and sociodemographic factors did not predict any clinically relevant change in the FSS-9 sum score from baseline to the following health assessments. Conclusion Patients with SUD suffer from high levels of fatigue. Female patients, patients with debt difficulties, and those with extensive use of benzodiazepines are at particular risk of being fatigued. This should be taken into consideration when planning health services.

scholarly journals Impact of Clinical and Sociodemographic Factors on Fatigue Among Patients With Substance Use Disorder: A Cohort Study From Norway for The Period 2016-2020

2020 ◽  
Author(s):  
Jørn Henrik Vold ◽  
Rolf Gjestad ◽  
Christer F. Aas ◽  
Fatemeh Chalabianloo ◽  
Svetlana Skurtveit ◽  
...  
Keyword(s):  
Substance Use ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Health Assessment ◽  
Sociodemographic Factors ◽  
Opioid Agonist ◽  
Opioid Agonist Therapy ◽  
Sum Score ◽  
Health Assessments ◽  
The Impact

Abstract Background The impact of clinical and sociodemographic factors on fatigue remains unknown among patients with substance use disorders (SUD). This study aims to evaluate fatigue among patients with SUD using a nine-item fatigue severity scale (FSS-9) and identify the impact that clinical and sociodemographic factors – such as injecting substance use, chronic infectious diseases, liver fibrosis, opioid agonist therapy (OAT), debt difficulties, and housing situation – have on fatigue.Methods We used data from a cohort of patients with SUD in Norway with annual health assessments surveying FSS-9 and some clinical and sociodemographic factors. A total of 915 FSS-9 measurements were collected from 654 patients during the period 2016-2020. We defined baseline as the first annual health assessment when the health assessments were listed chronologically. Time was defined as months from baseline. We used a linear mixed model to analyse whether the clinical and sociodemographic factors affected the FSS-9 sum score, presented with beta coefficients (β) with 95% confidence intervals (CI). Results The mean sum score of the FSS-9 was 43 (standard deviation: 16) at baseline. Being female (change in FSS-9 sum score: 4.1, 95 % CI: 1.3-7.0), having debt difficulties (2.9;0.4-5.3), and using benzodiazepines (5.7;3.0-8.4), amphetamine or cocaine (-5.0;-8.0--2.0) affected the FSS-9 sum score. The other clinical and sociodemographic factors did not predict any clinically relevant change in the FSS-9 sum score from baseline to the following health assessments.Conclusion Patients with SUD suffer from high levels of fatigue. Focusing on closer follow-up of females and reducing debt difficulties and the use of benzodiazepines may mitigate fatigue in the SUD population.

scholarly journals Validity and reliability fatigue severity scale in patients with Systemic Lupus Erythematosus (SLE) in Indonesia

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
A Rifa’i ◽  
Handono Kalim ◽  
Kusworini Handono ◽  
Cesarius Singgih Wahono
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Lupus Erythematosus ◽  
Fatigue Severity Scale ◽  
Severity Scale ◽  
Validity And Reliability ◽  
Systemic Lupus ◽  
Cronbach’S Alpha ◽  
Cronbach's Alpha ◽  
Total Correlation ◽  
Fatigue Severity

Background: Fatigue is one symptom of Systemic Lupus Erythematosus (SLE), which has an important effect on the quality of life. Fatigue Severity Scale (FSS)is one parameter fatigue symptom in SLE. The purpose of this study was to determine the validity and reliabilitybetween FSS with duration of ilness and disease activity of SLE patients in Indonesia.Methods: FSS performed on 40 patients with SLE. FSS original English version has been converted-translated into Indonesian version by a team of RheumatologyImmunology Medical Faculty of Brawijaya University. Reliability determined by Cronbach’s Alpha values (>0.6). Validity was determined by the value of Corrected Item-Total Correlation which each item was a valid question if below value of Cronbach’s Alpha.Results: The reliability value was determined by Cronbach’s Alpha values (>0.6) in which the SLE patients in this study had a Cronbach’s Alpha value of 0.946. Value of Corrected Item-Total Correlation overall under Cronbach’s Alpha value (range = 0.684-0.859) which indicates that each item was a valid question. There were correlation between the FSS Indonesian version with disease duration (p = 0.000) as well as the value of r = 0.581, with SLEDAI (p = 0.000) with a value of r = 0.833. Conclusion: FSS in Indonesian version has a good reliability and validity and can be used by clinicians andother researchers to assess the condition of fatigue in SLE patients in Indonesia.Keywords: validity, reliability, fatigue, fatigue severity scale, systemic lupus erythematosus

scholarly journals Validity and reliability of the Fatigue Severity Scale in Finnish multiple sclerosis patients

2017 ◽  
Vol 7 (7) ◽  
pp. e00743 ◽  
Author(s):  
Eija Rosti-Otajärvi ◽  
Päivi Hämäläinen ◽  
Anna Wiksten ◽  
Tanja Hakkarainen ◽  
Juhani Ruutiainen
Keyword(s):  
Multiple Sclerosis ◽  
Fatigue Severity Scale ◽  
Severity Scale ◽  
Validity And Reliability ◽  
Fatigue Severity ◽  
Multiple Sclerosis Patients

The validity and reliability of the Fatigue Severity Scale in Turkish multiple sclerosis patients

2007 ◽  
Vol 30 (1) ◽  
pp. 81-85 ◽  
Author(s):  
Kadriye Armutlu ◽  
Nilufer Cetisli Korkmaz ◽  
Ilke Keser ◽  
Vildan Sumbuloglu ◽  
Derya Irem Akbiyik ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Fatigue Severity Scale ◽  
Severity Scale ◽  
Validity And Reliability ◽  
Fatigue Severity ◽  
Multiple Sclerosis Patients

scholarly journals RELIABILITY OF THE FATIGUE SEVERITY SCALE IN CIRRHOTIC AND CORRELATION WITH DEPRESSION AND QUALITY OF LIFE: preliminary assessment

2016 ◽  
Vol 53 (3) ◽  
pp. 203-205 ◽  
Author(s):  
Danusa ROSSI ◽  
Lucas Homercher GALANT ◽  
Claudio Augusto MARRONI
Keyword(s):  
Quality Of Life ◽  
Internal Consistency ◽  
Short Form ◽  
Fatigue Severity Scale ◽  
Severity Scale ◽  
Brazilian Version ◽  
Sf 36 ◽  
Significant Difference ◽  
Fatigue Severity

ABSTRACT Background Fatigue is a common complaint in patients with liver disease and may be considered a disabling symptom, affecting their quality of life and mental health. The Brazilian version of the Fatigue Severity Scale showed sensitivity to assess fatigue in some populations, but has not been tested in cirrhotic individuals. Objective The aim of this study was to evaluate the reliability of the Fatigue Severity Scale and association with depression and quality of life in patients with liver cirrhosis. Methods A prospective cohort study where the same interviewer applied to 25 patients Fatigue Severity Scale questionnaires, Brazilian version of the Beck Depression Inventory II (BDI- II) and Brazilian version of the Short Form Health Survey II (SF-36 v.II). Evaluating the reliability of the Fatigue Severity Scale through internal consistency and reproducibility was conducted. Results Statistical analysis showed strong internal consistency (Cronbach's alpha = 0.917) and intraobserver reproducibility test, there was no significant difference between both moments (P=0.828). Fatigue Severity Scale was significantly associated with BDI- II (r=0.478; P=0.016) and quality of life in areas PF (r=-0.484; P=0.014), BP (r=-0.402; P=0.046) and GH (r=-0.406; P=0.044) and SF (r=-0.520; P=0.008). Conclusion The Fatigue Severity Scale showed satisfactory reliability in evaluation of fatigue in cirrhotic and can be used as a tool for this purpose. Fatigue is related to depression and quality of life in the physical aspects domains, pain, general health and social aspects.

Sign in / Sign up

Export Citation Format

Share Document