Objectives: Decline in the performance of instrumental activities of daily living (IADL) and mobility may be preceded by symptoms the patient experiences, such as fatigue. The aim of this study is to investigate whether self-reported non-task-specific fatigue is a long-term risk factor for IADL-limitations and/or mobility performance in older adults after 10 years. Methods: A prospective study from two previously conducted cross-sectional studies with 10-year follow-up was conducted among 285 males and 249 females aged 40–79 years at baseline. Fatigue was measured by asking “Did you feel tired within the past 4 weeks?” (males) and “Do you feel tired?” (females). Self-reported IADLs were assessed at baseline and follow-up. Mobility was assessed by the 6-minute walk test. Gender-specific associations between fatigue and IADL-limitations and mobility were estimated by multivariable logistic and linear regression models. Results: A total of 18.6% of males and 28.1% of females were fatigued. After adjustment, the odds ratio for fatigued versus non-fatigued males affected by IADL-limitations was 3.3 (P=0.023). In females, the association was weaker and not statistically significant, with odds ratio being 1.7 (P=0.154). Fatigued males walked 39.1 m shorter distance than those non-fatigued (P=0.048). For fatigued females, the distance was 17.5 m shorter compared to those non-fatigued (P=0.479). Conclusion: Our data suggest that self-reported fatigue may be a long-term risk factor for IADL-limitations and mobility performance in middle-aged and elderly males but possibly not in females.
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BACKGROUND: Research suggests that cancer rehabilitation reduces fatigue in survivors of cancer. To date, it is unclear what type of rehabilitation is most beneficial.OBJECTIVE: This randomized controlled trial compared the effect on cancer-related fatigue of physical training combined with cognitive behavioral therapy with physical training alone and with no intervention.DESIGN: In this multicenter randomized controlled trial, 147 survivors of cancer were randomly assigned to a group that received physical training combined with cognitive-behavioral therapy (PT+CBT group, n=76) or to a group that received physical training alone (PT group, n=71). In addition, a nonintervention control group (WLC group) consisting of 62 survivors of cancer who were on the waiting lists of rehabilitation centers elsewhere was included.SETTING: The study was conducted at 4 rehabilitation centers in the Netherlands.PATIENTS: All patients were survivors of cancer.INTERVENTION: Physical training consisting of 2 hours of individual training and group sports took place twice weekly, and cognitive-behavioral therapy took place once weekly for 2 hours.MEASUREMENTS: Fatigue was assessed with the Multidimensional Fatigue Inventory before and immediately after intervention (12 weeks after enrollment). The WLC group completed questionnaires at the same time points.RESULTS: Baseline fatigue did not differ significantly among the 3 groups. Over time, levels of fatigue significantly decreased in all domains in all groups, except in mental fatigue in the WLC group. Analyses of variance of postintervention fatigue showed statistically significant group effects on general fatigue, on physical and mental fatigue, and on reduced activation but not on reduced motivation. Compared with the WLC group, the PT group reported significantly greater decline in 4 domains of fatigue, whereas the PT+CBT group reported significantly greater decline in physical fatigue only. No significant differences in decline in fatigue were found between the PT+CBT and PT groups.CONCLUSIONS: Physical training combined with cognitive-behavioral therapy and physical training alone had significant and beneficial effects on fatigue compared with no intervention. Physical training was equally effective as or more effective than physical training combined with cognitive-behavioral therapy in reducing cancer-related fatigue, suggesting that cognitive-behavioral therapy did not have additional beneficial effects beyond the benefits of physical training.
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Purpose: To study the association between fatigue and participation and QoL after acquired brain injury (ABI) in adolescents and young adults (AYAs). Materials & Methods: Cross-sectional study with AYAs aged 14–25 years, diagnosed with ABI. The PedsQL™ Multidimensional Fatigue Scale, Child & Adolescent Scale of Participation, and PedsQL™4.0 Generic Core Scales were administered. Results: Sixty-four AYAs participated in the study, 47 with traumatic brain injury (TBI). Median age at admission was 17.6 yrs, 0.8 yrs since injury. High levels of fatigue (median 44.4 (IQR 34.7, 59.7)), limited participation (median 82.5 (IQR 68.8, 92.3)), and diminished QoL (median 63.0 (IQR 47.8, 78.3)) were reported. More fatigue was significantly associated with more participation restrictions (β 0.64, 95%CI 0.44, 0.85) and diminished QoL (β 0.87, 95%CI 0.72, 1.02). Conclusions: AYAs with ABI reported high levels of fatigue, limited participation and diminished quality of life with a significant association between fatigue and both participation and QoL. Targeting fatigue in rehabilitation treatment could potentially improve participation and QoL.
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PURPOSE: Describe prevalence and severity of fatigue in children and adolescents with burns during six months after hospital discharge, identify potential explanatory variables, and examine the relationship with exercise capacity.MATERIALS AND METHODS: Fatigue was assessed using the Pediatric-Quality-of-Life-Inventory-Multidimensional-Fatigue-Scale (PedsQL-MFS) at discharge, and six weeks, three-, and six months after discharge. PedsQL-MFS scores ≥1 SD below the age-group specific non-burned reference mean were considered to signify fatigue.RESULTS: Twenty-two children and adolescents (13 boys/9 girls, age 6-18 years, with burns covering 2-34% of total body surface area) were included. The prevalence of fatigue decreased from 65% (11/17) at discharge to 28% (5/18) six months after discharge. At group level, fatigue severity decreased over time, reaching healthy reference values from six weeks after discharge and beyond. At individual level, the course of fatigue severity varied widely. Fatigue severity at six months after discharge could not be predicted by age, sex, or burn severity (p = 0.51, p = 0.58, p = 0.95, respectively). The association with exercise capacity was weak (r = 0.062-0.538).CONCLUSIONS: More than a quarter of pediatric burn patients reported fatigue six months after discharge. Further research in larger populations is required, including also the impact of burn-related fatigue on daily functioning and quality of life.Trial registration number: OND1353942Implications for rehabilitationFatigue should be recognized as a potential consequence of (pediatric) burns, even several months post burnFatigue should be assessed regularly after discharge in all children and adolescents with burns, as it seems not possible to predict its severity from age, sex, or burn severity characteristicsThe weak association between exercise capacity and self-reported fatigue suggests that burn-related fatigue is not simply a consequence of a reduced exercise capacity.
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BACKGROUND: The aims of the study were to examine the effects of a multidimensional rehabilitation program on cancer-related fatigue, to examine concurrent predictors of fatigue, and to investigate whether change in fatigue over time was associated with change in predictors.METHODS: SAMPLE: 72 cancer survivors with different diagnoses.SETTING: rehabilitation center.INTERVENTION: 15-week rehabilitation program.MEASURES: Fatigue (Multidimensional Fatigue Inventory), demographic and disease/treatment-related variables, body composition (bioelectrical impedance), exercise capacity (symptom-limited bicycle ergometry), muscle force (handheld dynamometry), physical and psychological symptom distress (Rotterdam Symptom Check List), experienced physical and psychological functioning (RAND-36), and self-efficacy (General-Self-Efficacy Scale, Dutch version). Measurements were performed before (T0) and after rehabilitation (T1).RESULTS: At T1 (n = 56), significant improvements in fatigue were found, with effect sizes varying from -0.35 to -0.78. At T0, the different dimensions of fatigue were predicted by different physical and psychological variables. Explained variance of change in fatigue varied from 42%-58% and was associated with pre-existing fatigue and with change in physical functioning, role functioning due to physical problems, psychological functioning, and physical symptoms distress.CONCLUSIONS: Within this selected group of patients we found that (a) rehabilitation is effective in reducing fatigue, (b) both physical and psychological parameters predicted different dimensions of fatigue at baseline, and (c) change in fatigue was mainly associated with change in physical parameters.
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PURPOSE: Fatigue is a common and potentially disabling symptom in patients with cancer. It can often be effectively reduced by exercise. Yet, effects of exercise interventions might differ across subgroups. We conducted a meta-analysis using individual patient data of randomized controlled trials (RCTs) to investigate moderators of exercise intervention effects on cancer-related fatigue.METHODS: We used individual patient data from 31 exercise RCTs worldwide, representing 4,366 patients, of whom 3,846 had complete fatigue data. We performed a one-step individual patient data meta-analysis, using linear mixed-effect models to analyze the effects of exercise interventions on fatigue (z-score) and to identify demographic, clinical, intervention- and exercise-related moderators. Models were adjusted for baseline fatigue and included a random intercept on study level to account for clustering of patients within studies. We identified potential moderators by testing their interaction with group allocation, using a likelihood ratio test.RESULTS: Exercise interventions had statistically significant beneficial effects on fatigue (β= -0.17 [95% confidence interval (CI) -0.22;-0.12]). There was no evidence of moderation by demographic or clinical characteristics. Supervised exercise interventions had significantly larger effects on fatigue than unsupervised exercise interventions (βdifference= -0.18 [95%CI -0.28;-0.08]). Supervised interventions with a duration ≤12 weeks showed larger effects on fatigue (β= -0.29 [95% CI -0.39;-0.20]) than supervised interventions with a longer duration. CONCLUSIONS: In this individual patient data meta-analysis, we found statistically significant beneficial effects of exercise interventions on fatigue, irrespective of demographic and clinical characteristics. These findings support a role for exercise, preferably supervised exercise interventions, in clinical practice. Reasons for differential effects in duration require further exploration.
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PurposeCancer‐related fatigue is one of the most distressing side effects of childhood cancer treatment. Physical activity can decrease fatigue and has positive effects on other health outcomes. Most research on physical activity pertains to adults, and the few studies that focus on children have limited follow‐up time. This study evaluates cancer‐related fatigue in children and its association with physical activity over a one‐year time period.MethodsSixty‐eight children with cancer (7–18 years) were recruited during or within the first year after treatment. Physical activity (Actical activity monitor) and cancer‐related fatigue (Pediatric Quality‐of‐Life Questionnaire Multidimensional Fatigue Scale (PedsQL‐MFS), self‐ and parent‐ reports) were assessed at baseline, 4 months, and 12 months. PedsQL‐MFS scores were compared with Dutch norms. Longitudinal association of cancer‐related fatigue with physical activity was evaluated (No. NTR 1531).ResultsGenerally, PedsQL‐MFS scores were worse than norms at baseline and 4 months, and recovered by 12 months except for the parent‐proxy scores in adolescents. Younger children (≤12 years) self‐reported comparable or better scores than norms. Physical activity generally improved over time, but patients mostly remained sedentary. During follow‐up, increased physical activity was associated with less cancer‐related fatigue.ConclusionCancer‐related fatigue in children improves over time, and increased physical activity is associated with less cancer‐related fatigue. Given the sedentary lifestyle of this population, the positive effect of physical activity on cancer‐related fatigue, and the many other health benefits of an active lifestyle, it is important to stimulate physical activity in childhood cancer patients and survivors.
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In 2 experiments, 64 male students worked almost continuously for 20 hr without sleep under varying social conditions. In Experiment 1, participants worked either individually or as a group. As hypothesized, performance deteriorated over time, especially in the group condition, which allowed participants to loaf. In Experiment 2, all participants worked in groups. They were instructed that public feedback would be provided either on the group result only or on the individual results of all group members. As expected, when individual results were made public, performance deteriorated less. Overall, the data suggest that fatigue increases social loafing. However, both individualizing the task and providing public individual feedback seem to counteract these effects.
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Sleep quality and maintenance of the optimal cognitive functioning is of crucial importance for aviation safety. Fatigue Risk Management (FRM) enables the operator to achieve the objectives set in their safety and FRM policies. As in any other risk management cycle, the FRM value can be realized by deploying suitable tools that aid robust decision-making. For the purposes of our article, we focus on fatigue hazard identification to explore the possible developments forward through the enhancement of objective tools in air transport operators. To this end we compare subjective and objective tools that could be employed by an FRM system. Specifically, we focus on an exploratory survey on 120 pilots and the analysis of 250 fatigue reports that are compared with objective fatigue assessment based on the polysomnographic (PSG) and neurocognitive assessment of three experimental cases. We highlight the significance of predictive objective tools that should be deployed by contemporary FRM models. We also report the need for utilization of scientific-based tools for predictive FRM, in which objective sleep quality and neurocognitive assessment should be the core aspect. We note the period of restructuring ahead as an opportunity for operators to rethink and restructure their FRM.
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This paper outlines an investigation into the updating of fatigue reliability through inspection data by means of structural correlation. The proposed methodology is based on the random nature of fatigue fracture growth and the probability of damage detection and introduces a direct link between predicted crack size and inspection results. A distinct focus is applied on opportunities for utilizing inspection information for the updating of both inspected and uninspected (or uninspectable) locations.
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