Hubungan Fatigue Terhadap Kualitas Hidup Pasien Hemodialisa

Latar Belakang : Hemodialisa membantu meningkatkan harapan hidup pasien penyakit ginjal kronis, namun pasien juga sering melaporkan masalah dari pengobatan tersebut salah satunya fatigue yang merupakan gejala paling umum dari pasien hemodialisa dan sering dikaitkan dengan masalah kualitas hidup . Tujuan : Mengetahui hubungan fatigue terhadap kualitas hidup pasien hemodialisis. Metode : Desain penelitian yang digunakan adalah studi korelasional dengan pendekatan cross-sectional. Populasi penelitian ini adalah pasien yang menjalani hemodialisis di berbagai Klinik Hemodialisis di Kota Bandung dengan tehnik pengambilan sampel menggunakan consecutive sampling . Instrumen yang digunakan dalam penelitian ini yaitu the Fatigue Severity Scale (FSS) dan Kidney Disease Quality of Life Short Form 36 (KDQoL-SF36). Analisis univariat menggunakan distribusi frekuensi. Analisis bivariat dilakukan dengan menggunakan uji korelasi pearson. Hasil : Dari 34 responden sebagian besar pasien mengalami fatigue dengan rerata tingkat fatigue 41.18 (SD=17.11). Sekitar 41% responden memiliki skor fatigue tinggi (45<FAS<=63). Rerata skor KDQoL-SF36 pada aspek daftar gejala/masalah 66.02 (SD=9.06), aspek efek penyakit ginjal 43.70 (SD=10.68), aspek beban penyakit ginjal 12.13 (SD=5.94), aspek komponen kesehatan fisik 35.7 9 (SD=6.58) dan aspek komponen kesehatan mental 45.51 (SD=7.82). Terdapat hubungan antara fatigue dengan aspek beban penyakit ginjal dan komponen kesehatan fisik terlihat dari nilai p value <0.05 dengan nilai koefisien korelasi sebesar (-0.491) dan (-0.515). Kesimpulan: Semakin tinggi skor fatigue maka semakin rendah skor aspek kualitas hidupnya

Work fatigue and attention performance in remise and taxi drivers

Fatigue is considered a risk factor in traffic accidents, particularly in the case of professional drivers. In this population, extended working hours constitute one of the main precursors of fatigue. The objective of this work was to study the subjective perception of fatigue and the attentional performance in taxi / remise drivers at the beginning and end of a work day. Professional drivers (n = 30) were compared with a group of workers from different sectors (n = 30), matched by gender and age. A Fatigue severity scale, an Analogue visual fatigue scale, and a Conjunctive visual search task were administered. Overall, professional drivers showed higher scores in the fatigue severity scale. With regard to the attentional task, the ANOVA showed that professional drivers were less accurate in their performance. The practical implications of these findings are discussed.

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

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.

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

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.

Diagnosis of sleepiness, fatigue and depression in patients with myasthenia gravis

Introduction. Examination of excessive daytime sleepiness, fatigue and depression in patients with myasthenia gravis is important for differential diagnosis of other disorders, and adds to a comprehensive clinical assessment.Objective. The aim is a comprehensive assessment of sleepiness, fatigue and depression and evaluation of the impact of autoimmune comorbidity on these symptoms in myasthenia gravis patients, using newly validated Russian versions of international questionnaires. The present article aims at familiarizing a wider Russian-speaking audience of specialists in the field of neuromuscular disease and sleep medicine with the main findings of our previously published work.Materials and methods. The study included 73 patients with MG and 230 control subjects. For sleepiness, fatigue and depression evaluation were used: Fatigue Severity Scale (FSS), Fatigue Impact Scale (FIS) (cognitive / physical / psychosocial subscales), Epworth Sleepiness Scale (ESS), Beck Depression Inventory (BDI) (cognitive-affective and somatic domains), Spielberger–Khanin State Trait Anxiety Inventory (STAI).Results. The Fatigue Severity Scale and Fatigue Impact Scale showed good psychometric properties and can be used to identify distinct aspects of fatigue in patients with myasthenia gravis. The studied patient cohort revealed clinically significant fatigue (69.9 %), excessive daytime sleepiness (15.1 %), moderate to severe depression (20.5 %), a high level of personal (64.4 %) and situational anxiety (27.4 %). Among 13 patients with myasthenia gravis and additional autoimmune comorbidity, there were no significant differences in the severity of sleepiness, fatigue and depression compared with the main group.Conclusion. The use of self-reported scale of sleepiness, fatigue and depression combined with careful clinical-neurological characterization adds to a more comprehensive view of the patient. The identification of sleepiness, fatigue and depression can guide therapeutic decisions and contributes to a better patient care. The presence of concomitant autoimmune pathology in patients with myasthenia gravis does not seem to increase the severity of sleepiness, fatigue and depression.