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ObjectivePsycho-oncological institutions offer specialized care for cancer patients. Little is known how this care might impact fatigue. This study aimed to identify fatigue trajectories during psychological care, examined factors distinguishing these trajectories and predicted fatigue severity after nine months of psychological care.DesignNaturalistic, longitudinal study of 238 cancer patients receiving psycho-oncological care in the Netherlands. Data were collected before initiation of psychological care (T1) and three (T2) and nine months (T3) afterwards. Latent class growth analysis, repeated measure analyses (RMA) and linear regression analysis were performed.Main Outcome MeasuresFatigue severity: Checklist Individual Strength.ResultsThree fatigue trajectories were identified: high- (30%), moderate- (62%) and low-level fatigue (8%). While statistically significant decreases in fatigue were found, this decrease was not clinically relevant. RMA showed main effects for time for fatigue trajectories on depression, anxiety, personal control and illness cognitions. Fatigue severity and physical symptoms at T1, but not demographic or clinical factors, were predictive of fatigue severity at T3.ConclusionsFatigue is very common during psycho-oncological care, and notably not clinically improving. As symptoms of fatigue, depression, anxiety and physical symptoms often cluster, supplementary fatigue treatment should be considered when it is decided to treat other symptoms first.

ObjectivePsychosocial interventions can reduce cancer-related fatigue effectively. However, it is still unclear if intervention effects differ across subgroups of patients. These meta-analyses aimed at evaluating moderator effects of (a) sociodemographic characteristics, (b) clinical characteristics, (c) baseline levels of fatigue and other symptoms, and (d) intervention-related characteristics on the effect of psychosocial interventions on cancer-related fatigue in patients with non-metastatic breast and prostate cancer.MethodsData were retrieved from the Predicting OptimaL cAncer RehabIlitation and Supportive care (POLARIS) consortium. Potential moderators were studied with meta-analyses of pooled individual patient data from 14 randomized controlled trials through linear mixed-effects models with interaction tests. The analyses were conducted separately in patients with breast (n = 1091) and prostate cancer (n = 1008).ResultsStatistically significant, small overall effects of psychosocial interventions on fatigue were found (breast cancer: β = -0.19 [95% confidence interval (95%CI) = -0.30; -0.08]; prostate cancer: β = -0.11 [95%CI = -0.21; -0.00]). In both patient groups, intervention effects did not differ significantly by sociodemographic or clinical characteristics, nor by baseline levels of fatigue or pain. For intervention-related moderators (only tested among women with breast cancer), statistically significant larger effects were found for cognitive behavioral therapy as intervention strategy (β = -0.27 [95%CI = -0.40; -0.15]), fatigue-specific interventions (β = -0.48 [95%CI = -0.79; -0.18]), and interventions that only targeted patients with clinically relevant fatigue (β = -0.85 [95%CI = -1.40; -0.30]).ConclusionsOur findings did not provide evidence that any selected demographic or clinical characteristic, or baseline levels of fatigue or pain, moderated effects of psychosocial interventions on fatigue. A specific focus on decreasing fatigue seems beneficial for patients with breast cancer with clinically relevant fatigue.

Research focussing on older adults of low socioeconomic status (SES) faces several methodological challenges, including high rates of non-response and drop-out. In addition, older adults of low SES tend to be less willing to participate in research and are more likely to experience cognitive impairments and literacy problems. Photo-elicitation studies do not require high levels of literacy, and they might therefore be suitable for use in research with older adults of low SES. To date, however, little is known about setting up such studies with this target group. Our aim was to demonstrate how we systematically set up a researcher-driven photo-elicitation study to generate greater insight into the positive health perceptions of older adults of low SES. Our strategy consisted of three phases: development, testing and execution. In this article, we discuss each step of the research strategy and describe the limitations and strengths of our study. We also formulate recommendations for further research using photo-elicitation methods with this target group. Based on the results of this study, we conclude that the use of researcher-driven photo-elicitation is a powerful tool for enhancing understanding with regard to positive health perceptions and experiences of older adults of low SES. The usefulness of the method is particularly dependent on the careful development and testing of the study.

Purpose: The health perceptions of older adults with a lower socioeconomic status still seems to be unsettled. To gain more insight in these perceptions, 19 older adults were interviewed with the use of a photo-elicitation method. Methods: Participants reflected on ten photographs covering aspects of physical, social and mental health, and were also asked if and how they experience to have control over their health. Results: The results showed that the perception of health depended on the background of the participant, was experience-oriented and was mostly focused on the negative aspects of physical and mental health. Social contacts were an important contributor to well-being, especially when physical health declined. Although most participants seem hardly aware of having influence on their own health, several participants showed automatic self-management abilities. Conclusion: For participants who need more support to improve, or become more aware of their self-management abilities, interventions with an experience-oriented approach are needed.

Objectives: To evaluate the effects of exercise interventions on sleep disturbances and sleep quality in patients with mixed cancer diagnoses, and identify demographic, clinical, and intervention-related moderators of these effects. Methods: Individual patient data (IPD) and aggregated meta-analyses of randomized controlled trials (RCTs). Using data from the Predicting OptimaL cAncer Rehabilitation and Supportive care project, IPD of 2173 adults (mean age = 54.8) with cancer from 17 RCTs were analyzed. A complementary systematic search was conducted (until November 2018) to study the overall effects and test the representativeness of analyzed IPD. Effect sizes of exercise effects on self-reported sleep outcomes were calculated for all included RCTs. Linear mixed-effect models were used to evaluate the effects of exercise on post-intervention outcome values, adjusting for baseline values. Moderator effects were studied by testing interactions for demographic, clinical and intervention-related characteristics. Results: For all 27 eligible RCTs from the updated search, exercise interventions significantly decreased sleep disturbances in adults with cancer (g = -0.09, 95% CI [-0.16; -0.02]). No significant effect was obtained for sleep quality. RCTs included in IPD analyses constituted a representative sample of the published literature. The intervention effects on sleep disturbances were not significantly moderated by any demographic, clinical, or intervention-related factor, nor by sleep disturbances. Conclusions: This meta-analysis provides some evidence that, compared to control conditions, exercise interventions may improve sleep disturbances, but not sleep quality, in cancer patients, although this effect is of a small magnitude. Among the investigated variables, none was found to significantly moderate the effect of exercise interventions on sleep disturbances.

Contains fulltext : 220990.pdf (Publisher’s version ) (Closed access) 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 (RCT) to investigate moderators of exercise intervention effects on cancer-related fatigue. METHODS: We used individual patient data from 31 exercise RCT worldwide, representing 4366 patients, of whom 3846 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 (beta = -0.17; 95% confidence interval [CI], -0.22 to -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 (betadifference = -0.18; 95% CI -0.28 to -0.08). Supervised interventions with a duration

Contains fulltext : 225951.pdf (Publisher’s version ) (Closed access) PURPOSE: This study evaluated the effects of coping skills training (CST) on symptoms of depression and anxiety in cancer patients, and investigated moderators of the effects. METHODS: Overall effects and intervention-related moderators were studied in meta-analyses of pooled aggregate data from 38 randomized controlled trials (RCTs). Patient-related moderators were examined using linear mixed-effect models with interaction tests on pooled individual patient data (n = 1953) from 15 of the RCTs. RESULTS: CST had a statistically significant but small effect on depression (g = -0.31,95% confidence interval (CI) = -0.40;-0.22) and anxiety (g = -0.32,95%CI = -0.41;-0.24) symptoms. Effects on depression symptoms were significantly larger for interventions delivered face-to-face (p = .003), led by a psychologist (p = .02) and targeted to patients with psychological distress (p = .002). Significantly larger reductions in anxiety symptoms were found in younger patients (p(interaction)

Exercise effects in cancer patients often appear modest, possibly because interventions rarely target patients most in need. This study investigated the moderator effects of baseline values on the exercise outcomes of fatigue, aerobic fitness, muscle strength, quality of life (QoL), and self-reported physical function (PF) in cancer patients during and post-treatment. Methods: Individual patient data from 34 randomized exercise trials (n = 4519) were pooled. Linear mixed-effect models were used to study moderator effects of baseline values on exercise intervention outcomes and to determine whether these moderator effects differed by intervention timing (during vs post-treatment). All statistical tests were two-sided. Results: Moderator effects of baseline fatigue and PF were consistent across intervention timing, with greater effects in patients with worse fatigue (Pinteraction = .05) and worse PF (Pinteraction = .003). Moderator effects of baseline aerobic fitness, muscle strength, and QoL differed by intervention timing. During treatment, effects on aerobic fitness were greater for patients with better baseline aerobic fitness (Pinteraction = .002). Post-treatment, effects on upper (Pinteraction < .001) and lower (Pinteraction = .01) body muscle strength and QoL (Pinteraction < .001) were greater in patients with worse baseline values. Conclusion: Although exercise should be encouraged for most cancer patients during and post-treatments, targeting specific subgroups may be especially beneficial and cost effective. For fatigue and PF, interventions during and post-treatment should target patients with high fatigue and low PF. During treatment, patients experience benefit for muscle strength and QoL regardless of baseline values; however, only patients with low baseline values benefit post-treatment. For aerobic fitness, patients with low baseline values do not appear to benefit from exercise during treatment. Sin financiación 13.757 JCR (2018) Q1, 6/196 Oncology 5.827 SJR (2018) Q1, 6/226 Cancer Research, 10/381 Oncology No data IDR 2018 UEM

Background - Fatigue is one of the most common and disabling complaints in patients with breast cancer and can effectively be reduced by physical exercise, with small to moderate effect sizes. To identify heterogeneity in responses to exercise and to further personalize exercise prescriptions, moderators of exercise effects on fatigue should be investigated. However, most randomized controlled trials (RCTs) are not adequately powered for such analyses. Therefore we conducted meta-analyses using the individual patient data of several exercise RCTs. The aim is to investigate the effect and moderators of physical exercise on cancer-related fatigue in patients with breast cancer. Methods - Within the Predicting OptimaL cAncer RehabIlitation and Supportive care (POLARIS) consortium, principal investigators of 34 exercise RCTs worldwide have shared their individual patient data. Twenty-two of these RCTs included patients with breast cancer with a total sample size of 3,061. Different questionnaires to assess level of fatigue were used, which was acknowledged by using z-scores in the analysis. A one-step individual patient data meta-analysis, using a linear mixed-effect model adjusted for baseline fatigue, with a random intercept on study (to account for study clustering) was undertaken to investigate effect of exercise on fatigue. The result, a between-group difference in z-scores, corresponds to a Cohen's d effect size. An interaction term was included in the model to assess potential moderators including demographic (age, marital status, education), clinical (body mass index, presence of distant metastasis), intervention-related (intervention timing, delivery mode and duration), and exercise-related (exercise type, frequency, intensity, duration) characteristics. Results – Exercise significantly reduced fatigue reported by women with breast cancer (β= -0.15, 95% CI -0.21;-0.09). This effect did not differ significantly between patients with different demographic and clinical characteristics (p-valuesinteraction >0.05). Also, neither timing (during or post-treatment) and duration of the intervention, nor exercise-related factors moderated intervention effects on fatigue. Supervised exercise had significantly larger effects on fatigue than unsupervised exercise (βdifference= -0.17, 95%CI -0.28;-0.05). Compared to the control group, supervised exercise significantly improved fatigue (β = -0.21, 95%CI = -0.28;-0.14), while unsupervised exercise did not (β = -0.04, 95%CI = -0.14;0.06). Conclusion – Exercise significantly reduces fatigue in patients with breast cancer across subgroups formed on the basis of age, marital status, education level, body mass index, and presence of distant metastasis. The effect of exercise is significantly larger when performed under supervision. Hence, exercise, and preferably supervised exercise, represents a viable intervention for the prevention and treatment of fatigue among patients with breast cancer. Citation Format: van Vulpen JK, Sweegers MG, Kalter J, Peeters PH, Courneya KS, Newton RU, Aaronson NK, Jacobsen PB, Steindorf K, Stuiver MM, Hayes S, Mesters I, Knoop H, Goedendorp M, Mutrie N, Thorsen L, Schmidt M, Sonke GS, Bohus M, James EL, Oldenburg HS, Velthuis MJ, Nollet F, Wenzel J, Wiskemann J, Galvão DA, Chinapaw MJ, Irwin ML, Griffith KA, van Weert E, Daley AJ, McConnachie A, Schulz K-H, Short CE, Plotnikoff RC, Potthoff K, van Beurden M, van Harten WH, Schmitz KH, Winters-Stone KM, Taaffe DR, van Mechelen W, Kersten M-J, Verdonck-de Leeuw IM, Brug J, Buffart LM, May AM. Effect and moderators of exercise on fatigue in patients with breast cancer: Meta-analysis of individual patient data [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr P6-12-06.

Objective: Severe fatigue is highly prevalent in various chronic diseases. Disease-specific fatigue models have been developed, but it is possible that fatigue-related factors in these models are similar across diseases. The purpose of the current study was to determine the amount of variance in fatigue severity explained by: (a) the specific disease, (b) factors associated with fatigue across different chronic diseases (transdiagnostic factors), and (c) the interactions between these factors and specific diseases. Method: Data from 15 studies that included 1696 patients with common chronic diseases and disorders that cause long-term disabilities were analyzed. Linear regression analysis with the generalized least-squares technique was used to determine fatigue-related factors associated with fatigue severity, that is, demographic variables, health-related symptoms and psychosocial variables. Results: Type of chronic disease explained 11% of the variance noted in fatigue severity. The explained variance increased to 55% when the transdiagnostic factors were added to the model. These factors were female sex, age, motivational and concentration problems, pain, sleep disturbances, physical functioning, reduced activity and lower self-efficacy concerning fatigue. The predicted variance increased to 61% when interaction terms were added. Analysis of the interactions revealed that the relationship between fatigue severity and relevant predictors mainly differed in strength, not in direction. Conclusions: Fatigue severity can largely be explained by transdiagnostic factors; the associations vary between chronic diseases in strength and significance. This suggests that severely fatigued patients with different chronic diseases can probably benefit from a transdiagnostic fatigue-approach which focuses on individual patient needs rather than a specific disease.

BACKGROUND: Severe fatigue is a common and distressing symptom affecting approximately one in four survivors of breast cancer. The current study examined the efficacy of Internet-based cognitive behavioral therapy (ICBT) for severe fatigue in survivors of breast cancer compared with care as usual (CAU). METHODS: The authors conducted a parallel-group randomized controlled trial. Severely fatigued, disease-free survivors of breast cancer who had completed cancer treatment at least 3 months previously were eligible. Participants were randomly allocated to ICBT or CAU using computer-generated stratified block randomization. The primary outcome of fatigue severity was assessed at baseline and after 6 months, as were the secondary outcomes of functional impairment, psychological distress, and quality of life. Statistical effects were tested with analyses of covariance (intention-to-treat analysis). RESULTS: Participants were recruited between January 2014 and March 2016 and assigned to ICBT (66 patients) or CAU (66 patients). Compared with the participants who had received CAU, those who had received ICBT reported lower fatigue scores at 6 months (mean difference [Delta], 11.5; 95% confidence interval [95% CI], 7.7-15.3) and a large effect size (Cohen d = 1.0), with the majority of patients (73%) demonstrating clinically significant improvement. ICBT also was found to lead to lower functional impairment (Delta, 297.8; 95% CI, 145.5-450.1) and psychological distress scores (Delta, 5.7; 95% CI, 3.4-7.9) and higher quality-of-life scores (Delta, 11.7; 95% CI, 5.8-17.7) compared with CAU, with medium to large effect sizes (Cohen d = 0.6-0.8). CONCLUSIONS: ICBT appears to be effective in reducing severe fatigue and related symptoms and meets the current need for easy accessible and more efficient evidence-based treatment options for severely fatigued survivors of breast cancer. Cancer 2017;123:3825-34. (c) 2017 American Cancer Society.

This individual patient data meta-analysis aimed to evaluate the effects of exercise on quality of life (QoL) and physical function (PF) in patients with cancer, and to identify moderator effects of demographic (age, sex, marital status, education), clinical (body mass index, cancer type, presence of metastasis), intervention-related (intervention timing, delivery mode and duration, and type of control group), and exercise-related (exercise frequency, intensity, type, time) characteristics. Relevant published and unpublished studies were identified in September 2012 via PubMed, EMBASE, PsycINFO, and CINAHL, reference checking and personal communications. Principle investigators of all 69 eligible trials were requested to share IPD from their study. IPD from 34 randomised controlled trials (n = 4519 patients) that evaluated the effects of exercise compared to a usual care, wait-list or attention control group on QoL and PF in adult patients with cancer were retrieved and pooled. Linear mixed-effect models were used to evaluate the effects of the exercise on post-intervention outcome values (z-score) adjusting for baseline values. Moderator effects were studies by testing interactions. Exercise significantly improved QoL (β = 0.15, 95%CI = 0.10;0.20) and PF (β = 0.18, 95%CI = 0.13;0.23). The effects were not moderated by demographic, clinical or exercise characteristics. Effects on QoL (βdifference_in_effect = 0.13, 95%CI = 0.03;0.22) and PF (βdifference_in_effect = 0.10, 95%CI = 0.01;0.20) were significantly larger for supervised than unsupervised interventions. In conclusion, exercise, and particularly supervised exercise, effectively improves QoL and PF in patients with cancer with different demographic and clinical characteristics during and following treatment. Although effect sizes are small, there is consistent empirical evidence to support implementation of exercise as part of cancer care. Alpe d’HuZes foundation/Dutch Cancer Society (VU 2011-5045) 8.122 JCR (2017) Q1, 21/222 Oncology 3.420 SJR (2017) Q1, 62/2878 Medicine (miscellaneous), 19/378 Oncology, 6/344 Radiology, Nuclear Medicine and Imaging No data IDR 2017 UEM

Objectives: Interventions based on self-management of well-being (SMW) theory have shown positive effects, but additional questions remain: (1) Are improvements in well-being, as induced by the interventions, mediated by improved self-management ability (SMA)? (2) Do the interventions show ceiling effects? (3) Is a particular format of SMW intervention (individual, group, or self-help) more effective?Method: Data of three randomized controlled trials were pooled. The greater part of the sample (N = 445) consisted of single older females. A bootstrap analysis was performed to test for mediation. Regression analyses with interaction effects were performed to test for ceiling effects. Controlled and transformed effect sizes (proportion of maximum change) were calculated to compare formats.Results: There was a full significant mediation of well-being by SMA. A significant interaction (ceiling) effect was found on well-being, but not on SMA. The controlled effect sizes of the raw scores were small to medium (.04-.49), and were small to large after transformation (.41-.73). None of the intervention formats was more effective.Conclusion: Support for SMW theory was found, i.e. increasing self-management ability lead to improved well-being. Some ceiling effect was found. We conclude that various SMW interventions formats can improve self-management abilities and well-being with medium effects.

Background When implementing an empirically supported intervention (ESI) arrays of influencing factors operate on the professional and organizational level, but so far dependency between these levels has often been ignored. The aim of this study is to describe the pace and identify determinants of implementation of the Self-Management of Well-being (SMW) group intervention while taking the dependency between professionals and organizations into account. Methods Pace of implementation was measured as the time between training of professionals and first use of the SMW intervention in months. Determinants of first use were derived from the Fleuren framework and assessed using web-based questionnaires and telephone interviews. First, univariate analyses, Fisher’s exact tests and t-tests, were performed to identify determinants of first use of the SMW intervention on the individual professional and the organizational level independently. Second, multilevel analyses were performed to correct for the dependency between professionals and organizations. Simple multilevel logistic regression analyses were performed with determinants found significant in the univariate analyses as independent variables, first use as dependent variable, professionals entered in the first level, and organizations in the second level. Results Forty-eight professionals from 18 organizations were trained to execute the SMW intervention. Thirty-two professionals achieved first use, at a mean pace of 7.5 months ± 4.2. Determinants on the professional level were ‘ownership’, ‘relative advantage’, ‘support from colleagues’ and ‘compatibility’. Determinants on the organizational level were ‘organizational size’ and ‘innovation-task orientation fit’. Multilevel analysis showed that ‘compatibility’, a factor on the professional level, was the only significant determinant contributing to first use in the multilevel model. Conclusions This implementation study revealed a strong dependency between professionals and organizations. Results showed that a majority of professionals used the SMW intervention in about 8 months. When the dependency between professionals and organization was taken into account, the professionals’ perception of compatibility was the only remaining determinant of implementation on the professional level. Organizational size and managers’ perception of ‘innovation-task orientation fit’ were determinants of implementation on the organizational level. It is advisable to discuss the compatibility between new and current tasks among managers and professionals before adopting a new intervention. Electronic supplementary material The online version of this article (10.1186/s12913-019-3891-x) contains supplementary material, which is available to authorized users.

Aims: To prospectively identify the course of severe fatigue, its predictors and the relationship with HbA(1c) in patients with type 1 diabetes.Methods: 214 adult patients completed questionnaires on fatigue severity and fatigue-related factors at baseline. HbA(1c) was retrieved from medical records. After 43 months, fatigue severity and HbA(1c) were reassessed in 194 patients. A logistic regression analysis was used to determine predictors of severe fatigue at follow-up with various cognitive-behavioral and clinical factors as potential predictors. The relationship between fatigue and HbA(1c) was investigated in a sub-analysis by differentiating between patients with suboptimal glucose control [HbA(1c) >7% (53 mmol/mol)] and optimal glucose control [HbA(1c) 6 7% (53 mmol/mol)].Results: The prevalence of severe fatigue was 40% at baseline and 42% at follow-up. In three out of four severely fatigued patients at baseline (76%), severe fatigue persisted over time. More depressive symptoms, more pain, sleep disturbances, lower self-efficacy concerning fatigue, less confidence in diabetes self-care, more fatigue severity at baseline and more diabetes complications predicted severe fatigue at follow-up. Over time, HbA(1c) at baseline was positively associated with fatigue severity at follow-up in both groups (suboptimal glucose control: r=.18, pConclusions: About three quarters of patients with type 1 diabetes suffer from persistent fatigue. Aside from the number of diabetes complications, no clinical factors explained the persistence of fatigue. HbA(1c) and fatigue were weakly associated in a sub-analysis. Since the strongest predictors of severe fatigue were cognitive-behavioral factors, behavioral interventions might be effective in decreasing fatigue. (C) 2016 Elsevier Ireland Ltd. All rights reserved.

Contains fulltext : 167799.pdf (Publisher’s version ) (Open Access) PURPOSE: Fatigue is a frequently reported symptom by patients with advanced cancer, but hardly any prospective information is available about fatigue while on treatment in the palliative setting. In a previous cross-sectional study, we found several factors contributing to fatigue in these patients. In this study, we investigated the course of fatigue over time and if psychosocial factors were associated with fatigue over time. METHODS: Patients on cancer treatment for incurable solid tumors were observed over 6 months. Patients filled in the Checklist Individual Strength monthly to measure the course of fatigue. Baseline questionnaires were used to measure disease acceptance, anxiety, depressive mood, fatigue catastrophizing, sleeping problems, discrepancies in social support, and self-reported physical activity for their relation with fatigue over time. RESULTS: At baseline 137 patients and after 6 months 89 patients participated. The mean duration of participation was 4.9 months. At most time points, fatigue scores were significantly higher in the group dropouts in comparison with the group participating 6 months (completers). Overall fatigue levels remained stable over time for the majority of participants. In the completers, 42 % never experienced severe fatigue, 29 % persisted being severely fatigued, and others had either an increasing or decreasing level. Of the investigated factors, low reported physical activity and non-acceptance of cancer were associated significantly to fatigue. CONCLUSION: A substantial number of participants never experienced severe fatigue and fatigue levels remained stable over time. For those who do experience severe fatigue, non-acceptance of having incurable cancer and low self-reported physical activity may be fatigue-perpetuating factors.

Objective For clinical and research purposes, efficient identification of cases of cancer-related fatigue (CRF) is important, as CRF can be persistent and interfere with usual functioning. While various fatigue-screening instruments are available, no brief screening indices have been developed using formally diagnosed CRF cases as the criterion. Methods Breast cancer patients (n = 385) completed a fatigue diagnostic interview and self-report fatigue measures (Profile of Mood States-fatigue subscale, Fatigue Symptom Inventory, and SF-36 vitality subscale), after initial adjuvant therapy (post-treatment (post-Tx) 1 assessment), after completion of radiotherapy for women receiving chemotherapy + radiotherapy (post-Tx 2 assessment), and 6 months after completion of all adjuvant therapy (6-month post-Tx assessment). CRF cases were identified using specific diagnostic criteria. ROC analyses identified screening indices, which could accurately identify CRF cases after initial adjuvant therapy. Screening indices were cross-validated using post-Tx 2 and 6-month follow-up assessment data. Results A total of 104 women (27%) met CRF criteria after initial adjuvant therapy. Six two-item screening indices were identified. For all indices, area under the curve exceeded 0.80, sensitivity exceeded 0.80, and specificity exceeded 0.57. Cross-validation suggested that, except for the index based on SF-36, all the indices continued to accurately identify CRF cases at the post-Tx 2 and 6-month post-Tx assessments. Overall, a two-item composite index based on Fatigue Symptom Inventory ‘most severity’ and ‘work interference’ items performed best. Conclusions Breast cancer patients and survivors meeting CRF diagnostic criteria can be accurately identified using brief screening indices derived from common self-report fatigue measures. Copyright © 2015 John Wiley & Sons, Ltd.

Objective: The Self-Management of Well-being (SMW) group intervention for older women was implemented in health and social care. Our aim was to assess whether effects of the SMW intervention were comparable with the original randomized controlled trial (RCT). Furthermore, we investigated threats to effectiveness, such as participant adherence, group reached, and program fidelity.Methods: In the implementation study (IMP) 287 and RCT 142 women participated. We compared scores on self-management ability and well-being of the IMP and RCT. For adherence, drop-out rates and session attendance were compared. Regarding reach, we compared participants' baseline characteristics. Professionals completed questions regarding program fidelity.Results: No significant differences were found on effect outcomes and adherence between IMP and RCT (all p >= 0.135). Intervention effect sizes were equal (0.47-0.59). IMP participants were significantly less lonely and more likely to be married, but had lower well-being. Most professionals followed the protocol, with only minimal deviations.Conclusion: The effectiveness of the SMW group intervention was reproduced after implementation, with similar participant adherence, minimal changes in the group reached, and high program fidelity. Practice implications: The SMW group intervention can be transferred to health and social care without loss of effectiveness. Implementation at a larger scale is warranted. (C) 2017 Elsevier B.V. All rights reserved.

© 2018 The Authors. Psycho-Oncology Published by John Wiley & Sons Ltd. Objective: This individual patient data (IPD) meta-analysis aimed to evaluate the effects of psychosocial interventions (PSI) on quality of life (QoL), emotional function (EF), and social function (SF) in patients with cancer, and to study moderator effects of demographic, clinical, personal, and intervention-related characteristics. Methods: Relevant studies were identified via literature searches in 4 databases. We pooled IPD from 22 (n = 4217) of 61 eligible randomized controlled trials. Linear mixed-effect model analyses were used to study intervention effects on the post-intervention values of QoL, EF, and SF (z-scores), adjusting for baseline values, age, and cancer type. We studied moderator effects by testing interactions with the intervention for demographic, clinical, personal, and intervention-related characteristics, and conducted subsequent stratified analyses for significant moderator variables.Results: PSI significantly improved QoL (β = 0.14,95%CI = 0.06;0.21), EF (β = 0.13,95%CI = 0.05;0.20), and SF (β = 0.10,95%CI = 0.03;0.18). Significant differences in effects of different types of PSI were found, with largest effects of psychotherapy. The effects of coping skills training were moderated by age, treatment type, and targeted interventions. Effects of psychotherapy on EF may be moderated by cancer type, but these analyses were based on 2 randomized controlled trials with small sample sizes of some cancer types. Conclusions: PSI significantly improved QoL, EF, and SF, with small overall effects. However, the effects differed by several demographic, clinical, personal, and intervention-related characteristics. Our study highlights the beneficial effects of coping skills training in patients treated with chemotherapy, the importance of targeted interventions, and the need of developing interventions tailored to the specific needs of elderly patients.

Contains fulltext : 170087.pdf (Publisher’s version ) (Open Access) BACKGROUND: Fatigue is a common and debilitating symptom for patients with incurable cancer receiving systemic treatment with palliative intent. There is evidence that non-pharmacological interventions such as graded exercise therapy (GET) or cognitive behaviour therapy (CBT) reduce cancer-related fatigue in disease-free cancer patients and in patients receiving treatment with curative intent. These interventions may also result in a reduction of fatigue in patients receiving treatment with palliative intent, by improving physical fitness (GET) or changing fatigue-related cognitions and behaviour (CBT). The primary aim of our study is to assess the efficacy of GET or CBT compared to usual care (UC) in reducing fatigue in patients with incurable cancer. METHODS: The TIRED study is a multicentre three-armed randomised controlled trial (RCT) for incurable cancer patients receiving systemic treatment with palliative intent. Participants will be randomised to GET, CBT, or UC. In addition to UC, the GET group will participate in a 12-week supervised exercise programme. The CBT group will receive a 12-week CBT intervention in addition to UC. Primary and secondary outcome measures will be assessed at baseline, post-intervention (14 weeks), and at follow-up assessments (18 and 26 weeks post-randomisation). The primary outcome measure is fatigue severity (Checklist Individual Strength subscale fatigue severity). Secondary outcome measures are fatigue (EORTC-QLQ-C30 subscale fatigue), functional impairments (Sickness Impact Profile total score, EORTC-QLQ-C30 subscale emotional functioning, subscale physical functioning) and quality of life (EORTC-QLQ-C30 subscale QoL). Outcomes at 14 weeks (primary endpoint) of either treatment arm will be compared to those of UC participants. In addition, outcomes at 18 and 26 weeks (follow-up assessments) of either treatment arm will be compared to those of UC participants. DISCUSSION: To our knowledge, the TIRED study is the first RCT investigating the efficacy of GET and CBT on reducing fatigue during treatment with palliative intent in incurable cancer patients. The results of this study will provide information about the possibility and efficacy of GET and CBT for severely fatigued incurable cancer patients. TRIAL REGISTRATION: NTR3812 ; date of registration: 23/01/2013.

Item does not contain fulltext BACKGROUND: Fatigue in type 1 diabetes is prevalent and persistent, but so far, no evidence-based treatments are available. We aimed to investigate the efficacy of cognitive behavioural therapy (CBT) in reducing fatigue severity in patients with type 1 diabetes. METHODS: We did a multicentre randomised controlled trial at one university medical centre and four large teaching hospitals in the Netherlands. Eligible patients were aged 18-70 years and had type 1 diabetes for at least 1 year and chronic fatigue for at least 6 months. We randomly assigned patients (1:1) to CBT or waiting list using computer-generated blocked randomisation, stratified by type of enrolment. The CBT intervention (Dia-Fit) was given for 5 months in blended form, consisting of face-to-face and web-based sessions. The primary outcome was fatigue severity assessed 5 months after randomisation, directly after the intervention or waiting list period, with the Checklist Individual Strength fatigue severity subscale. Secondary outcomes were functional impairment (assessed with the total score of the Sickness Impact Profile-8), glycaemic control (HbA1c), and glucose variability. Analyses were done by intention to treat. This trial is registered with the Nederlands Trial Register, number NTR4312. FINDINGS: Between Feb 6, 2014, and March 24, 2016, we randomly assigned 120 eligible patients to either CBT (n=60) or waiting list (n=60), all of whom were included in the intention-to-treat analyses. Compared with patients in the waiting list group, those in the CBT group had significantly lower fatigue severity scores (mean difference 13.8, 95% CI 10.0-17.5; p

OBJECTIVE: Fatigue is the most frequently occurring and distressing symptom in patients with advanced cancer, caused by multiple factors. Neither a specific histological diagnosis of malignancy nor the type of anticancer treatment seem to be strongly related to fatigue, which support the idea that other factors may play a role. This study investigated to what extent the model of fatigue-perpetuating factors that is known for cancer survivors was applicable for patients with advanced cancer. METHODS: Patients on active treatment for various incurable cancers were asked to complete the Checklist Individual Strength, subscale fatigue severity and physical activity, the Acceptance scale of the Illness Cognition Questionnaire, the Hospital Anxiety and Depression Scale, the Fatigue Catastrophizing Scale, the Symptom Checklist subscale sleep, and the van Sonderen Social Support List-Discrepancies. RESULTS: The questionnaires were filled in by 137 patients. Inappropriate coping, fear of progression, fatigue catastrophizing, discrepancies in social support, depressive mood, self reported physical activity, and sleeping problems were all related to fatigue severity in univariate analyses, of which the latter two were significant in a multivariate linear regression analysis. CONCLUSION: This study tested fatigue-perpetuating factors known to be of relevance in cancer survivors, for their relation with fatigue severity in palliative patients. We demonstrated that these factors were also relevant for patients on palliative treatment. On the basis of our results, we suggest clinicians confronted with palliative patients with serious fatigue to address sleeping problems and promote physical activity. In case of persistent fatigue, personalized cognitive behavioral therapy can be considered.

Background:Because of a rise in incidence and more effective treatments, the prevalence of patients with metastatic cancer is increasing fast. When palliative treatment is aimed at maintaining or improving patients' quality of life, knowledge about severe fatigue is clinically relevant because of its debilitating effect, but at present this information is lacking.Objective:This study investigated the prevalence of severe fatigue in patients with various incurable cancers and whether severe fatigue increased with further treatment lines and differed between various cancers and treatment modalities. In addition, a relationship between severe fatigue and other symptoms was examined.Methods:Patients were asked to fill in the Checklist Individual Strength, European Organization of Research and Treatment of Cancer-Quality of Life Questionnaire C30, and the McGill Pain Questionnaire during palliative anticancer treatment, and hemoglobin levels were collected.Results:Of all participating patients (n = 137), 47% were severely fatigued. Patients who received first line of treatment were significantly less often severely fatigued (40%) compared with patients who received further lines (60%). Significantly more severe fatigue was observed when patients had more pain, dyspnea, appetite loss, nausea, vomiting, and constipation.Conclusions:During the phase of palliative anticancer treatment, fatigue was the most common symptom, nearly half of the patients had severe fatigue increasing with further treatment lines. Various treatment-related symptoms were related to more severe fatigue.Implications for Practice:As severe fatigue is significantly related to other symptoms of cancer and its treatment, the screening and treatment of these cancer-related symptoms should be more stringent, as they might negatively influence each other.

This article presents the contrasting European and American perspectives on cancer-related fatigue (CRF) and its impact on functioning in cancer survivors. The content is presented in 3 sections: state of the art, intervention studies, and future areas of research, followed by a discussion. Gaps identified include a lack of understanding of the etiology, definition, and measurement of CRF. Models to guide the study of CRF, selection of biomarkers, and design of interventions are needed. There is overlap between Europe and the United States concerning the future directions for research and collaboration related to CRF. The authors suggest the need for international consensus regarding the defining features of CRF in cancer survivors to identify phenotypes, a harmonized measurement of CRF outcomes using instruments that have demonstrated measurement equivalence across languages and cultures, and interventions (including exercise, rehabilitation, and psychoeducational) that have been manualized to permit intervention fidelity across diverse contexts. Coordinated intercontinental efforts would increase understanding of the biological, psychological, and social mechanisms underlying CRF and assist in the design of future intervention studies as well as revisions to clinical guidelines.

Context. There is a lack of longitudinal studies investigating fatigue from before cancer treatment to long after successful cancer treatment.Objectives. This prospective follow-up study aimed to determine the prevalence and predictors of persistent fatigue in cancer survivors in the first year after completion of cancer treatment.Methods. Sixty patients with various malignancies were assessed before (T1), shortly after curative cancer treatment (T2), and one year after T2 (T3). Fatigue was assessed monthly between T2 and T3. Fatigue severity was measured using the subscale of the Checklist Individual Strength. Questionnaires were used to measure impaired sleep and rest, physical activity, social support, fatigue catastrophizing, and somatic-related attributions regarding fatigue. Linear regression analyses were performed to identify predictors of persistent fatigue.Results. In total, 22% of survivors had severe persistent fatigue over the last six months in the first year after cancer treatment. Fatigue at T1, T2, and negative interactions predicted the severity of persistent fatigue. Analyses without fatigue showed that more negative interactions, impaired sleep and rest, fatigue catastrophizing, and lower self-reported physical activity at T2 were associated with the severity of persistent fatigue.Conclusion. Twenty-two percent of the survivors had severe persistent fatigue in the year after cancer treatment. Fatigue and cognitive behavioral factors predicted persistent fatigue in the year after cancer treatment. Diagnosis or cancer treatment did not predict persistent fatigue. The implication is that cognitive behavioral therapy for postcancer fatigue, aimed at the fatigue-perpetuating factors, could be offered from two months after successful cancer treatment. J Pain Symptom Manage 2013;45:213-222. (C) 2013 U.S. Cancer Pain Relief Committee. Published by Elsevier Inc. All rights reserved.

Contains fulltext : 127294.pdf (Publisher’s version ) (Closed access) OBJECTIVE: A subgroup of patients with Chronic Fatigue Syndrome (CFS) has cognitive impairments, reflected by deviant neuropsychological test performance. However, abnormal test scores can also be caused by suboptimal effort. We hypothesized that worse neuropsychological test performance and underperformance were related to each other and to a smaller reduction in fatigue, functional impairments, physical limitations and higher dropout rates following cognitive behavior therapy (CBT) for CFS. METHODS: Data were drawn from a previous trial, in which CFS patients were randomized to two conditions; 1) guided self-instruction and additional CBT (n=84) or 2) waiting period followed by regular CBT for CFS (n=85). Underperformance was assessed using the Amsterdam Short Term Memory Test (

Background Fatigue is a prevalent and burdensome symptom for patients with incurable cancer receiving cancer treatment with palliative intent and is associated with reduced quality of life. Psychosocial interventions seem promising for management of fatigue among cancer patients. Objectives To assess the effects of psychosocial interventions for fatigue in adult patients with incurable cancer receiving cancer treatment with palliative intent. Search methods We searched the following databases: CENTRAL, MEDLINE, Embase, CINAHL, PsycINFO, and seven clinical trial registries; we also searched the reference lists of articles. The date of our most recent search was 29 November 2016. Selection criteria We included randomised controlled trials that compared psychosocial interventions in adults aged 18 years or over undergoing cancer treatment with palliative intent for incurable cancer versus usual care or other controls. Psychosocial interventions were defined as various kinds of interventions provided to influence or change cognitions, emotions, behaviours, social interactions, or a combination of these. Psychosocial interventions of interest to this review had to involve at least two interactions between the patient and the care provider in which the care provider gave the patient personal feedback concerning changes sought by these interventions. We included trials that reported fatigue as an outcome of interest. Data collection and analysis We used standard methodological procedures expected by Cochrane. Two review authors independently considered trials for inclusion in the review, assessed risk of bias, and extracted data, including information on adverse events. We assessed the quality of evidence using GRADE (Grading of Recommendations Assessment, Development, and Evaluation) and created a 'Summary of findings’ table. Main results We identified 14 studies (16 reports) that met inclusion criteria for this review and involved 3077 randomised participants in total. Most of these studies included a mixed sample of participants; we obtained data for the subset of interest for this review (diagnosis of incurable cancer and receiving cancer treatment) from the study investigators of 12 studies, for which we included 535 participants in the subset meta-analysis for fatigue post intervention. Researchers investigated a broad range of psychosocial interventions with different intervention aims and durations. We identified sources of potential bias, including lack of description of methods of blinding and allocation concealment and inclusion of small study populations. Findings from our meta-analysis do not support the effectiveness of psychosocial interventions for reducing fatigue post intervention (standardised mean difference (SMD) -0.25, 95% confidence interval (CI) -0.50 to 0.00; not significant; 535 participants, 12 studies; very low-quality evidence). First follow-up findings on fatigue suggested benefit for participants assigned to the psychosocial intervention compared with control (SMD -0.66, 95% CI -1.00 to -0.32; 147 participants, four studies; very low-quality evidence), which was not sustained at second follow-up (SMD -0.41, 95% CI -1.12 to 0.30; not significant; very low-quality evidence). Results for our secondary outcomes revealed very low-quality evidence for the efficacy of psychosocial interventions in improving physical functioning post intervention (SMD 0.32, 95% CI 0.01 to 0.63; 307 participants, seven studies). These findings were not sustained at first follow-up (SMD 0.37, 95% CI -0.20 to 0.94; not significant; 122 participants, two studies; very low-quality evidence). Findings do not support the effectiveness of psychosocial interventions for improving social functioning (mean difference (MD) 4.16, 95% CI -11.20 to 19.53; not significant; 141 participants, four studies), role functioning (MD 3.49, 95% CI -12.78 to 19.76; not significant; 143 participants, four studies), emotional functioning (SMD -0.11, 95% CI -0.56 to 0.35; not significant; 115 participants, three studies), or cognitive functioning (MD -2.23, 95% CI -12.52 to 8.06; not significant; 86 participants, two studies) post intervention. Only three studies evaluated adverse events. These studies found no difference between the number of adverse events among participants in the intervention versus control group. Using GRADE, we considered the overall quality of evidence for our primary and secondary outcomes to be very low. Therefore, we have very little confidence in the effect estimate, and the true effect is likely to be substantially different from the estimate of effect. Limitations in study quality and imprecision due to sparse data resulted in downgrading of the quality of data. Additionally, most studies were at high risk of bias owing to their small sample size for the subset of patients with incurable cancer (fewer than 50 participants per arm), leading to uncertainty about effect estimates. Authors' conclusions We found little evidence around the benefits of psychosocial interventions provided to reduce fatigue in adult patients with incurable cancer receiving cancer treatment with palliative intent. Additional studies with larger samples are required to assess whether psychosocial interventions are beneficial for addressing fatigue in patients with incurable cancer.

OBJECTIVE: A randomised controlled trial (RCT) demonstrated that cognitive behaviour therapy (CBT) for fatigue during curative cancer treatment was effective shortly after cancer treatment. This study aimed to identify which patient characteristics predict fatigue improvement after CBT. In addition, the long-term effectiveness was investigated. METHODS: Patients with various malignancies participated in the RCT (n = 210). Participants were assessed before cancer treatment (T1), postintervention (T2), which was at least 2 months after cancer treatment, and after 1-year follow-up (T3). Monthly fatigue assessments were completed between T2 and T3. A regression analysis with interactions was performed to determine if domains of quality of life (EORTC-QLQ-C30) functioning (Health Survey Short Form-36) or psychological distress (Symptom Checklist-90) moderated the effect of CBT on fatigue. Analyses of covariance were used to study the long-term effectiveness of CBT. RESULTS: Fatigue at T2 was predicted by a significant interaction between self-reported cognitive functioning and CBT. No interactions were found between other domains of quality of life, functioning, psychological distress and CBT. At T3, no significant difference on fatigue was found between CBT and usual care. Exploratory analyses showed that the difference nearly reached significance until 7 months postintervention. CONCLUSIONS: Patients who experienced more concentration and memory problems at T1 benefited more from CBT for fatigue and are indicators. After a year of follow-up, the effect of CBT for fatigue was no longer observed, and the effect on fatigue seemed to be diminished 7 months postintervention. The implication is that CBT for fatigue should be offered to patients with cancer with the highest chance to benefit. Copyright (c) 2011 John Wiley & Sons, Ltd.

Contains fulltext : 81256.pdf (Publisher’s version ) (Closed access) BACKGROUND: Little is known about the lifestyle of patients with chronic fatigue syndrome (CFS) and its influence on symptoms of CFS. The present study aimed to investigate the lifestyle of patients with CFS, and to assess whether lifestyle factors are related to fatigue and functional impairments. METHODS: Two hundred and forty-seven patients fulfilling the Center for Disease Control criteria for CFS were included. Validated questionnaires were used to collect data on lifestyle factors, smoking, intake of alcohol, fat, fibres, fruit and vegetables, body mass index (BMI), fatigue severity and functional impairments. RESULTS: Of the CFS patients, 23% smoked, 32% had an unhealthy BMI, and none had an unhealthy alcohol intake. A majority had an unhealthy food intake: 70% had unhealthy fat, fruit and vegetable intake, and 95% had unhealthy fibre intake. Compared with the general Dutch population, significantly fewer CFS patients were overweight. Significantly more female CFS patients abstained from alcohol, and fewer male CFS patients smoked. Unhealthy lifestyle factors were not significantly associated with fatigue severity or functional impairments. CONCLUSIONS: CFS patients tend to lead a healthier lifestyle compared to the general Dutch population. However, no relationship was found between lifestyle factors and fatigue severity and functional impairments in CFS.

Contains fulltext : 71053.pdf (Publisher’s version ) (Closed access) It is generally known that fatigue is a common symptom during cancer treatment, and in cancer survivors. However, fatigue was never studied after diagnosis, before cancer treatment was initiated. This study investigated the prevalence of severe fatigue, and related factors, in cancer patients before the initiation of treatment. One hundred and seventy-nine patients with various malignancies were assessed before start of treatment with curative intention, including the Checklist Individual Strength, Sickness Impact Profile, Beck Depression Inventory Primary Care, Symptom Checklist-90, and six Numeric Rating Scales to measure fatigue, pain and physical activity. To test which factors contributed to severe fatigue a logistic regression analysis was performed. In total 23.5% patients were severely fatigued, varying between diagnoses; prostate cancer (14.3%), breast cancer (20.3%), and gastrointestinal cancer (28.1%). Currently lower physical activity (P=0.013), more depressive mood (P=0.014), impaired sleep and rest during the day and night (P=0.045), and fatigue 1 year before diagnosis (P=0.005) contributed to severe fatigue. Relatively large numbers of cancer patients already experience severe fatigue before initiation of treatment, varying between 14-28%. The factors that contributed to severe fatigue at this stage were physical activity, depressive mood, impaired sleep and rest, and fatigue 1 year before diagnosis.

Background About one third of breast cancer survivors suffer from persistent severe fatigue after completion of curative cancer treatment. Face-to-face cognitive behavioral therapy (F2F CBT), especially designed for fatigue in cancer survivors, was found effective in reducing fatigue. However, this intervention is intensive and treatment capacity is limited. To extend treatment options, a web-based version of CBT requiring less therapist time was developed. This intervention is aimed at changing fatigue-perpetuating cognitions and behaviors. The efficacy of web-based CBT will be examined in a multicenter randomized controlled trial. Methods In total, 132 severely fatigued breast cancer survivors will be recruited and randomized to either an intervention condition or care as usual (ratio 1:1). Participants will be assessed at baseline and 6 months thereafter. The intervention group will receive web-based CBT, consisting of three F2F sessions and maximally eight web-based modules over a period of 6 months. The care as usual group will be on a waiting list for regular F2F CBT. The total duration of the waiting list is 6 months. The primary outcome of the study is fatigue severity. Secondary outcomes are functional impairments, psychological distress and quality of life. Discussion If web-based CBT is effective, it will provide an additional treatment option for fatigue in breast cancer survivors. Web-based CBT is expected to be less time-consuming for therapists than regular F2F CBT, which would result in an increased treatment capacity. Moreover, the intervention would become more easily accessible for a larger number of patients, and patients can save travel time and costs. Trial registration Dutch Trial Registry - NTR4309 Electronic supplementary material The online version of this article (doi:10.1186/s12885-015-1787-7) contains supplementary material, which is available to authorized users.

Contains fulltext : 153166.pdf (Publisher’s version ) (Open Access) BACKGROUND: Fatigue is frequently reported by patients with type 1 diabetes mellitus. A recent study showed that 40 % of patients experienced severe fatigue that lasted for more than six months and was accompanied by substantial impairments in daily functioning. Currently, there is no effective treatment available for chronic fatigue in patients with type 1 diabetes. Cognitive behaviour therapy aimed at cognitions and behaviours that perpetuate fatigue is effective in reducing fatigue in other chronic diseases. Recent research showed that these cognitions and behaviours are also potential determinants of fatigue in type 1 diabetes. We designed Dia-Fit, a web-based cognitive behaviour therapy for severe and chronic fatigue in patients with type 1 diabetes. This patient-tailored intervention is aimed at reducing fatigue by changing cognitions and behaviours assumed to maintain fatigue. The efficacy of Dia-Fit will be investigated in this study. METHODS/DESIGN: A randomised controlled trial will be conducted in 120 patients with type 1 diabetes who are chronically and severely fatigued. Patients will be randomised to a treatment or waiting list group. The treatment group will receive Dia-Fit, a blended care therapy consisting of up to eight internet modules and face-to-face sessions with a therapist during a five-month period. The treatment will be tailored to the fatigue-maintaining cognitions and behaviours that are relevant for the patient and are determined at baseline. The waiting list group will receive Dia-Fit after a waiting period of five months. The primary outcome measure is fatigue severity. Secondary outcome measures are functional impairment and glucose control determined by haemoglobin A1c and blood glucose variability. DISCUSSION: To our knowledge, this is the first study investigating the efficacy of a cognitive behavioural intervention for chronic fatigue in patients with type 1 diabetes. TRIAL REGISTRATION: Dutch trial register NTR4312 (10 December 2013).

Contains fulltext : 155367.pdf (Publisher’s version ) (Closed access) BACKGROUND: Although fatigue is the most frequently occurring symptom in patients with cancer, hardly anything is known about fatigue of their informal caregivers and the impact fatigue might have on perceived burden with providing care. We investigated the presence of fatigue in caregivers, its course and the relation of fatigue severity between caregivers and patients. Furthermore, we explored in caregivers whether fatigue severity was correlated to experienced burden. MATERIAL AND METHODS: Informal caregivers and patients on cancer treatment in the palliative phase completed questionnaires at baseline and follow-up (6 months later). To measure fatigue severity, both groups completed the Checklist Individual Strength. Additionally, caregivers completed the Caregivers Strain Index to assess experienced burden with providing care. Descriptive analyses, paired t-tests, chi(2)-tests, Pearson's correlations and regression analysis were performed. RESULTS: At baseline 111 couples (patients and caregivers) participated, at follow-up 75 couples. At both time points 23% of caregivers were severely fatigued. There was no significant correlation between patients and caregivers on fatigue. Higher fatigue in both patients and caregivers was correlated with higher burden in caregivers and over 30% of burden could be explained by fatigue. CONCLUSION: Almost a quarter of caregivers of patients on active palliative treatment were severely fatigued, which figure remained stable over time. Fatigue in both patients and caregivers was related to caregivers' burden. This observation should be taken into account with the growing demand on caregivers and the increase in cancer treatment options in the palliative setting.

Background Despite aging-related losses, many older adults are able to maintain high levels of subjective well-being. However, not all older adults are able to self-manage and adapt. The GRIP&GLEAM [Dutch: GRIP&GLANS] (G&G) interventions have shown to significantly improve self-management ability, well-being and loneliness in older adults. Actual use of the evidence-based G&G interventions, however, remains limited as long as the interplay between implementation factors at different hierarchical stakeholder levels is poorly understood. The aim of the study is to identify the determinants of successful implementation of the G&G interventions. Methods/design The study is performed in health and social care organizations in the northern part of the Netherlands. The degree of implementation success is operationalized by four parameters: use (yes/no), pace (time to initial use), performance (extent of use) and prolongation (intention to continue use). Based on the Fleuren model, factors at four hierarchical stakeholder levels (i.e. target group, professionals, organizations and financial-political context) are assessed at three measurement points in 2 years. The nested data are analyzed applying multilevel modeling techniques. Discussion In this study, health and social care organizations are considered to be part of multilevel functional systems, in which factors at different hierarchical stakeholder levels impede or facilitate use of the G&G interventions. Strengths of the study are the multifaceted measurement of use, and the multilevel approach in identifying the determinants. The study will contribute to the development of ecologically valid implementation strategies of the G&G interventions and comparable evidence-based practices. Electronic supplementary material The online version of this article (doi:10.1186/s13104-015-1262-1) contains supplementary material, which is available to authorized users.

The authors have unfortunately detected an error in their above-mentioned article. In the abstract section of the paper, they wrote: "About three quarters of patients with type 1 diabetes suffer from persistent fatigue". However, the text should correctly read as follows: "About three quarters of fatigued patients with type 1 diabetes suffer from persistent fatigue". The authors would like to apologize for this error and the inconvenience caused.

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OBJECTIVE Fatigue is a classical symptom of hyperglycemia, but the relationship between chronic fatigue and diabetes has not been systematically studied. We investigated prevalence, impact, and potential determinants of chronic fatigue in patients with type 1 diabetes mellitus (T1DM). RESEARCH DESIGN AND METHODS Out of 324 randomly selected T1DM outpatients, 214 participated in this cross-sectional observational study. Participants were compared with age- and sex-matched population-based controls. Chronic fatigue, functional impairments, current health status, comorbidity, diabetes-related factors, and fatigue-related cognitions and behaviors were assessed with questionnaires, and HbA1c values and comorbidity were assessed with medical records. Sixty-six patients underwent continuous glucose monitoring combined with an electronic fatigue diary for 5 days. Acute fatigue and four glucose parameters were determined: mean, variability, and relative time spent in hypoglycemia and hyperglycemia. RESULTS T1DM patients were significantly more often chronically fatigued (40%; 95% CI 34–47%) compared with matched controls (7%; 95% CI 3–10%; P < 0.001). Chronically fatigued patients had significantly more functional impairments. Fatigue was the most troublesome symptom. Age, depression, pain, sleeping problems, low self-efficacy concerning fatigue, and physical inactivity were significantly associated with chronic fatigue. Chronically fatigued patients spent slightly less time in hypoglycemia (proportion 0.07 ± 0.06 vs. 0.12 ± 0.10; P = 0.025). Glucose parameters were not related to acute fatigue. CONCLUSIONS Chronic fatigue is highly prevalent and clinically relevant in T1DM. Its significant relationship with cognitive behavioral variables and weak association with blood glucose levels suggests that behavioral interventions could be helpful in managing chronic fatigue in T1DM.

Context. After successful cancer treatment, a substantial number of survivors continue to experience fatigue and related concentration and memory problems. Severe fatigue after cancer treatment can be treated effectively with cognitive behavioral therapy (CBT), but it is unclear whether CBT has an effect on cognitive functioning.Objectives. We hypothesized that patients would report less cognitive disability after treatment with CBT for cancer-related fatigue. CBT was not expected to affect neuropsychological test performance, as it has been shown that fatigue is not associated with test performance.Methods. Data were used from a randomized controlled trial in which 98 severely fatigued cancer survivors, treated at least one year previously, were assessed at baseline (T1) and six months post-baseline (T2). Patients were randomly assigned to receive CBT (n = 50) or to a waiting list (WL) control condition (n 48). Self-reported cognitive disability was assessed by the Concentration subscale of the Checklist Individual Strength and the Alertness Behavior subscale of the Sickness Impact Profile. Neuropsychological test performance was measured by the symbol digit modalities task and two reaction time tasks.Results. Patients who received CBT for post-cancer fatigue reported significantly less cognitive disability compared with those in the WL group. CBT also was associated with a clinically relevant reduction in concentration problems (CBT, 32% vs. WL, 2%). There were no significant differences in neuropsychological test performance between the CBT and WL groups.Conclusion. CBT for post-cancer fatigue has already been shown to be an effective therapy. The present study demonstrates that CBT also may lead to a decrease in perceived cognitive disability. (C) 2014 U.S. Cancer Pain Relief Committee. Published by Elsevier Inc. All rights reserved.

Item does not contain fulltext Fatigue is a common symptom of patients with chronic kidney disease, but seldom investigated after transplantation. We determined the prevalence, impact and related factors of severe fatigue in kidney transplant recipients (KTRs). Medical records and questionnaires were used to assess kidney function, donor characteristics, fatigue (Checklist Individual Strength), functional impairments (Sickness Impact Profile), work status, body mass index (BMI), pain, depressive symptoms, social support and sleeping problems in 180 participating KTRs. KTRs were compared with sex- and age-matched population-based controls. KTRs were significantly more often severely fatigued (39%) compared to matched controls (22%; P = 0.001). Severely fatigued KTRs had significantly more functional impairments than nonseverely fatigued recipients (effect size >/= 0.7) P < 0.001, and less often a paid job (27% vs. 48%, P = 0.005). Univariate analysis showed that severely fatigued KTRs received more often a kidney from a deceased donor, had a higher BMI, more pain, discrepancy in social support, depressive symptoms and sleeping problems. In a multivariate analysis (n = 151) the latter two associations remained significant. Severe fatigue is a highly prevalent and disabling symptom in KTRs. Moreover, severe fatigue after kidney transplantation is more strongly related to behavioural and psychosocial factors than specific transplantation-related factors. Findings have implications for fatigue management.

Fatigue is the most frequently occurring and distressing symptom in patients with advanced cancer, caused by multiple factors. Neither a specific histological diagnosis of malignancy nor the type of anticancer treatment seem to be strongly related to fatigue, which support the idea that other factors may play a role. This study investigated to what extent the model of fatigue-perpetuating factors that is known for cancer survivors was applicable for patients with advanced cancer.Patients on active treatment for various incurable cancers were asked to complete the Checklist Individual Strength, subscale fatigue severity and physical activity, the Acceptance scale of the Illness Cognition Questionnaire, the Hospital Anxiety and Depression Scale, the Fatigue Catastrophizing Scale, the Symptom Checklist subscale sleep, and the van Sonderen Social Support List-Discrepancies.The questionnaires were filled in by 137 patients. Inappropriate coping, fear of progression, fatigue catastrophizing, discrepancies in social support, depressive mood, self reported physical activity, and sleeping problems were all related to fatigue severity in univariate analyses, of which the latter two were significant in a multivariate linear regression analysis.This study tested fatigue-perpetuating factors known to be of relevance in cancer survivors, for their relation with fatigue severity in palliative patients. We demonstrated that these factors were also relevant for patients on palliative treatment. On the basis of our results, we suggest clinicians confronted with palliative patients with serious fatigue to address sleeping problems and promote physical activity. In case of persistent fatigue, personalized cognitive behavioral therapy can be considered.

Item does not contain fulltext BACKGROUND: In this study, the authors examined the influence of prior treatment on the course of fatigue in breast cancer survivors. Patients who received chemotherapy were expected to have greater fatigue than patients who received radiotherapy and noncancer controls 6 months after the completion of treatment, but they were expected to recover to levels similar to those of the other 2 groups 3 years later. METHODS: Patients with stage 0 through II breast cancer completed the Fatigue Symptom Inventory (FSI) and the Profile of Mood States Fatigue Scale (POMS-FAT) 6 months (T1) and 42 months (T2) after completing chemotherapy with or without radiotherapy (the CT group; n = 103) or radiotherapy only (the RT group; n = 102). An age-matched group of women with no history of cancer (the NC group; n = 193) was assessed over a similar interval. RESULTS: A significant (P = .041) group x time effect for FSI severity scores revealed that fatigue worsened over time in the CT group but remained stable and lower in the RT and NC groups. There also were significant group effects for FSI days (P < .001) and POMS-FAT (P = .010) scores, indicating that fatigue was significantly greater across time in the CT group than in the NC group (POMS-FAT) or the RT and NC groups (FSI days). CONCLUSIONS: Contrary to expectations, fatigue did not diminish over time in patients with breast cancer who received chemotherapy. This finding has important implications for patient education and for fatigue monitoring during follow-up. The authors concluded that future research should seek to examine possible mechanisms to explain the apparent prolonged impact of chemotherapy on fatigue in breast cancer survivors.

A randomised controlled trial (RCT) demonstrated that cognitive behaviour therapy (CBT) for fatigue during curative cancer treatment was effective shortly after cancer treatment. This study aimed to identify which patient characteristics predict fatigue improvement after CBT. In addition, the long-term effectiveness was investigated.Patients with various malignancies participated in the RCT (n = 210). Participants were assessed before cancer treatment (T1), postintervention (T2), which was at least 2 months after cancer treatment, and after 1-year follow-up (T3). Monthly fatigue assessments were completed between T2 and T3. A regression analysis with interactions was performed to determine if domains of quality of life (EORTC-QLQ-C30) functioning (Health Survey Short Form-36) or psychological distress (Symptom Checklist-90) moderated the effect of CBT on fatigue. Analyses of covariance were used to study the long-term effectiveness of CBT.Fatigue at T2 was predicted by a significant interaction between self-reported cognitive functioning and CBT. No interactions were found between other domains of quality of life, functioning, psychological distress and CBT. At T3, no significant difference on fatigue was found between CBT and usual care. Exploratory analyses showed that the difference nearly reached significance until 7 months postintervention.Patients who experienced more concentration and memory problems at T1 benefited more from CBT for fatigue and are indicators. After a year of follow-up, the effect of CBT for fatigue was no longer observed, and the effect on fatigue seemed to be diminished 7 months postintervention. The implication is that CBT for fatigue should be offered to patients with cancer with the highest chance to benefit.

Contains fulltext : 81792.pdf (Publisher’s version ) (Open Access) BACKGROUND: Fatigue is a common symptom in cancer patients receiving active treatment. There are a limited number of reviews evaluating interventions for fatigue during active treatment, and they are restricted to patients with advanced cancer, or to patients during radiotherapy. To date there is no systematic review on psychosocial interventions for fatigue during cancer treatment. OBJECTIVES: To evaluate if psychosocial interventions are effective in reducing fatigue in cancer patients receiving active treatment for cancer, and which types of psychosocial interventions are the most effective. SEARCH STRATEGY: In September 2008 we searched the Cochrane Central Register of Controlled Trials (CENTRAL) (The Cochrane Library), PUBMED, MEDLINE, EMBASE, CINAHL and PsycINFO, and checked the reference lists. SELECTION CRITERIA: Randomised controlled trials (RCTs) were included which evaluated psychosocial interventions in adult cancer patients during treatment, with fatigue as an outcome measure. DATA COLLECTION AND ANALYSIS: Three review authors independently extracted data from the selected studies, and assessed the methodological quality using several quality rating scales and additional criteria. MAIN RESULTS: Twenty-seven studies met the inclusion criteria with a total of 3324 participants, and seven studies reported significant effects of the psychosocial intervention on fatigue. In three studies the effect was maintained at follow-up. The quality of the studies was generally moderate. Effect sizes varied between 0.17 to 1.07.The effectiveness of interventions specific for fatigue was significantly higher (80%) compared to interventions not specific for fatigue (14%). In five studies the interventions were specifically focused on fatigue, with four being effective. The five interventions were brief, consisting of three individual sessions, provided by (oncology) nurses. In general, during these interventions participants were educated about fatigue, were taught in self-care or coping techniques, and learned activity management.Of the remaining 22 studies only three were effective in reducing fatigue, and these interventions had a more general approach. These interventions were aimed at psychological distress, mood and physical symptoms, and varied strongly in duration and content. AUTHORS' CONCLUSIONS: There is limited evidence that psychosocial interventions during cancer treatment are effective in reducing fatigue. At present, psychosocial interventions specifically for fatigue are a promising type of intervention. However, there is no solid evidence for the effectiveness of interventions not specific for fatigue. Most aspects of the included studies were heterogeneous, and therefore it could not be established which other types of interventions, or elements were essential in reducing fatigue.

Fatigue is a presenting symptom of diabetes, but little is known of the course of fatigue. Clinical experience suggests that patients can suffer from chronic fatigue. In this study we investigated the prevalence of chronic fatigue, defined as severe and persistent fatigue lasting for at least six months in a large cohort of patients.