Fatigue in Cancer Survivors &amp;ndash; Prevalence and Correlates

Kuhnt, Susanne; Ernst, Jochen; Schnittger, Susanne; Rüffer, Jens Ulrich; Kortmann, Rolf‐Dieter; Stolzenburg, Jens‐Uwe; Schwarz, R

doi:10.1159/000215943

Cited by 102 publications

(96 citation statements)

References 20 publications

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“…Kuhnt et al [2] prefer 2 cut-offs: 1 defined at the 75% percentile (moderate fatigue) and the other at the 90% percentile (severe fatigue). Using the 75% percentile cut-off, the authors found that 36% of cancer survivors suffered from fatigue.…”

Section: Discussionmentioning

confidence: 99%

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Fatigue in the General Population of Colombia - Normative Values for the Multidimensional Fatigue Inventory MFI-20

et al. 2013

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Background: Fatigue is a frequent symptom in cancer patients. In Europe and Northern America fatigue questionnaires were developed and tested, but their generalizability to other cultural contexts is largely unknown. The aim of this study is to provide normative values for the Multidimensional Fatigue Inventory (MFI-20) based on a representative sample of the general population in Colombia and to test psychometric properties. Methods: 1,500 individuals completed a questionnaire that contained the MFI-20, as well as other questionnaires, and questions on sociodemographic variables and chronic diseases. Results: The mean values of the scales were marginally higher than those for 2 European samples. The mean value of the total score was 44.3 ± 14.1. Women were affected by fatigue more than men, and there was an almost linear age trend, with higher mean scores for older subjects. People with chronic diseases were affected by fatigue more than people without chronic conditions. The best psychometric properties were obtained for the total scale (sum score) of the MFI-20. Conclusion: The normative values presented here can help us to assess the individual burden of fatigue in a Latin American context. Psychometric properties of the MFI-20 in Colombia are similar to those obtained in Europe.

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Section: Discussionmentioning

confidence: 99%

“…About 1 in 3 cancer patients suffers from fatigue [2]. Fatigue is also associated with low quality of life [3,4].…”

Section: Introductionmentioning

confidence: 99%

Fatigue in the General Population of Colombia - Normative Values for the Multidimensional Fatigue Inventory MFI-20

et al. 2013

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“…The items are summed to subscale scores ranging from 4 to 20, resulting in a total score ranging from 20 to 100, with higher scores indicating more fatigue [25]. Agespecific norm values were derived from a German general population sample [26], with the 75th percentile as the cutoff for mild-tomoderate fatigue, and the 90th percentile as the cutoff for severe fatigue, as previously described [27]. We performed bivariate correlations between steps per day and established clinical parameters in patients with sarcoidosis (i.e., FVC, FEV 1 , DLCO, 6MWD, SGRQ, SF-12, and MFI-20), reporting Pearson's correlation coefficient for normally distributed variables, and Spearman's ρ for nonnormally distributed variables.…”

Section: Fatiguementioning

confidence: 99%

Physical Activity and Fatigue in Patients with Sarcoidosis

Bahmer

Watz

Develaska³

et al. 2017

Respiration

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Background:Little is known about physical activity in daily life among patients with sarcoidosis. Fatigue is a frequent and disabling symptom that might negatively affect physical activity levels. Methods: In patients with sarcoidosis, we measured physical activity (steps per day) by accelerometry (SenseWear Armband) for 1 week. We assessed lung function (DLCO, FVC), exercise capacity (6-min walking distance . Results: We investigated 57 patients with sarcoidosis (mean age 50 years, 56% male, mean DLCO 73% predicted, mean FVC 91% predicted, mean 6MWD 525 m, mean steps per day 7,490), of whom n = 14 (25%) had severe fatigue. The MFI-20 subscales "reduced activity" and "physical fatigue" were weakly associated with steps per day on a bivariate level (Spearman ρ = -0.274 and ρ = -0.277, respectively; p < 0.05), while the other subscales and the total score were not. 6MWD, SGRQ score, and SF-12 (physical health) score showed stronger associations with steps per day in bivariate analyses (Pearson r = 0.499, r = -0.386, and r = 0.467, respectively; p < 0.01), and were independent predictors of steps per day in multivariate linear regression analyses adjusting for confounders (p < 0.05). In ROC curve analyses, 6MWD, SGRQ score, and SF-12 (physical health) score properly identified sedentary patients (steps per day <5,000; AUROC 0.90, 0.81, and 0.80, respectively; p < 0.01). Fatigue was less predictive (MFI-20 subscale "general fatigue," AUROC 0.70; p = 0.03). Conclusion: While exercise capacity and quality of life measurements were robust predictors of physical activity in patients with sarcoidosis, associations of objectively measured physical activity with fatigue were surprisingly weak. In sarcoidosis, fatigue might not preclude affected patients from being physically active, although this symptom is subjectively perceived as highly disabling.

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“…An example would be: "Thinking requires effort." According to Kuhnt et al, 30 the 75th percentile (53ϩ) was used as the cutoff value for high fatigue.…”

Section: Mfimentioning

confidence: 99%

Factors Associated With Fatigue in Sarcoidosis

Fleischer¹,

Hinz²,

Brähler³

et al. 2013

Respir Care

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BACKGROUND: Fatigue is a frequent symptom of patients with sarcoidosis. The origin of fatigue associated with sarcoidosis is unclear. The aim of this study was to assess the impact of affected organs, medication, and comorbidity on fatigue related to sarcoidosis. METHOD: In collaboration with the German Sarcoidosis Society, a sample of 1,197 subjects diagnosed with sarcoidosis was examined. The participants completed a questionnaire that contained the Fatigue Assessment Scale and the Multidimensional Fatigue Inventory. RESULTS: In this study, muscles, bones, and nerves were most strongly associated with fatigue. Patients receiving prednisolone showed heightened fatigue levels. However, the association between the duration of prednisolone therapy and fatigue was weak. The concomitant diseases, pulmonary hypertension and sleep apnea, showed the greatest impact elevating fatigue (effect sizes d > 0.50). In the combined regression analysis, comorbidity was the most important predictor of fatigue. CONCLUSIONS: It is important to consider that multiple clinical factors, especially comorbidities, contribute to the high degrees of fatigue in sarcoidosis.

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Fatigue in Cancer Survivors – Prevalence and Correlates

Cited by 102 publications

References 20 publications

Fatigue in the General Population of Colombia - Normative Values for the Multidimensional Fatigue Inventory MFI-20

Fatigue in the General Population of Colombia - Normative Values for the Multidimensional Fatigue Inventory MFI-20

Physical Activity and Fatigue in Patients with Sarcoidosis

Factors Associated With Fatigue in Sarcoidosis

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