Fatigue

Lerdal, Anners

doi:10.1007/978-3-319-69909-7_1016-2

Cited by 2 publications

(2 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Individuals with an FSS score of < 27 were assigned to a low-fatigue group, those with a score of 27 to 44 to a moderate-fatigue group, and those with a score of ≥ 45 to a high-fatigue group. 15 …”

Section: Methodsmentioning

confidence: 99%

The relationship between fatigue and sickness absence from work

Kim,

Yang

et al. 2023

Ann Occup Environ Med

View full text Add to dashboard Cite

Background Although many studies have been conducted on worker fatigue and sickness absence, the association between fatigue and sickness absence is unclear in Korean workers. This study was conducted to investigate the effect of worker fatigue on future sickness absence. Methods The study was conducted on workers who received medical check-ups at a university hospital for two consecutive years (2014–2015). During check-ups in the first year, the Fatigue Severity Scale (FSS) was used to assess fatigue levels, and during check-ups in the second year, sickness absence was surveyed to determine whether they had been absent from work due to physical or mental illness during previous 12 months. The χ 2 test was used to analyze relationships between sociodemographic and occupational characteristics, fatigue levels, and sickness absence. Odds ratios (ORs) were calculated by logistic regression analysis controlled for confounding factors. Results A total of 12,250 workers were included in the study, and 396 (3.2%) workers experienced more than one day of sickness absence during the study period. Adjusted ORs for sickness absence were 3.35 (95% confidence interval [CI]: 2.64–4.28) in the moderate-fatigue group and 6.87 (95% CI: 4.93–9.57) in the high-fatigue group versus the low-fatigue group. For men in the moderate- and high-fatigue groups, adjusted ORs for sickness absence were 3.40 (95% CI: 2.58–4.48) and 8.94 (95% CI: 6.12–13.07), and for women in the moderate- and high-fatigue groups, adjusted ORs for sickness absence were 2.93 (95% CI: 1.68–5.10) and 3.71 (95% CI: 1.84–7.49), respectively. Conclusions Worker fatigue is associated with sickness absence during the following 12 months, and this association appears to be stronger for men than women. These results support the notion that sickness absence can be reduced by evaluating and managing work-related fatigue.

show abstract

Section: Methodsmentioning

confidence: 99%

The relationship between fatigue and sickness absence from work

Kim,

Yang

et al. 2023

Ann Occup Environ Med

View full text Add to dashboard Cite

show abstract

“…The degree of fatigue was determined using the Arabic-validated version of the fatigue severity scale 43 , 44 . There are a total of 9 elements on the scale, and the patient may choose a score between 1 and 7 for each, where 1 indicates strong disagreement and 7 strong agreements.…”

Section: Methodsmentioning

confidence: 99%

EDSS and infratentorial white matter lesion volume are considered predictors of fatigue severity in RRMS

Ezzeldin

Mahmoud

Safwat

et al. 2023

Sci Rep

View full text Add to dashboard Cite

Fatigue is a common disabling symptom of relapsing remitting multiple sclerosis (RRMS). Many studies have linked grey matter atrophy to fatigue, but white matter lesion load (WM-LL) has received less attention. Here we assess the relation between fatigue and regional WM-LL volumetric measures. 63 patients with RRMS participated in this study; mean age was 31.9 ± 8.1 years. Each patient provided demographic details and was scored on the expanded disability status scale (EDSS) and fatigue severity scale (FSS). VolBrain, a fully automated, operator-independent tool was used to assess WM-LL and whole brain volume. The patients were classified into three groups: no fatigue (FSS < 4), low to moderate fatigue (FSS ≥ 4 ≤ 5) and high fatigue (FSS > 5). 33.3% of patients had no significant fatigue, 25.4% had mild-to-moderate fatigue, and 41.3% had significant fatigue. Age, disease duration, relapses, and EDSS were positively correlated to fatigue severity (P = 0.034, 0.002, 0.009 and 0.001 respectively). Whole brain volume, total and regional WM-LL (juxtacortical, periventricular, infratentorial) were also correlated with fatigue severity. Ordinal regression analysis for fatigue severity showed EDSS and infratentorial lesion volume were the best predictors. In conclusion, EDSS and infratentorial lesion volume (cerebellar and brainstem) are the best predictors of fatigue severity.

show abstract

Fatigue

Cited by 2 publications

References 15 publications

The relationship between fatigue and sickness absence from work

The relationship between fatigue and sickness absence from work

EDSS and infratentorial white matter lesion volume are considered predictors of fatigue severity in RRMS

Contact Info

Product

Resources

About