BACKGROUND: We compared the effect of a 12-week group-based multidisciplinary self-management rehabilitation program, combining physical training (twice weekly) and cognitive-behavioral therapy (once weekly) with the effect of 12-week group-based physical training (twice weekly) on cancer survivors' quality of life over a 1-year period.MATERIALS AND METHODS: One hundred forty-seven survivors [48.8 +/- 10.9 years (mean +/- SD), all cancer types, medical treatment > or = 3 months ago] were randomly assigned to either physical training (PT, n = 71) or to physical training plus cognitive-behavioral therapy (PT + CBT, n = 76). Quality of life and physical activity levels were measured before and immediately after the intervention and at 3- and 9-month post-intervention using the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire C30 questionnaire and the Physical Activity Scale for the Elderly, respectively.RESULTS: Multilevel linear mixed-effects models revealed no differential pattern in change of quality of life and physical activity between PT and PT + CBT. In both PT and PT + CBT, quality of life and physical activity were significantly and clinically relevantly improved immediately following the intervention and also at 3- and 9-month post-intervention compared to pre-intervention (p < 0.001).CONCLUSION: Self-management physical training had substantial and durable positive effects on cancer survivors' quality of life. Participants maintained physical activity levels once the program was completed. Combining physical training with our cognitive-behavioral intervention did not add to these beneficial effects of physical training neither in the short-term nor in the long-term. Physical training should be implemented within the framework of standard care for cancer survivors.
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It is a challenge for mathematics teachers to provide activities for their students at a high level of cognitive demand. In this article, we explore the possibilities that history of mathematics has to offer to meet this challenge. History of mathematics can be applied in mathematics education in different ways. We offer a framework for describing the appearances of history of mathematics in curriculum materials. This framework consists of four formats that are entitled speck, stamp, snippet, and story. Characteristic properties are named for each format, in terms of size, content, location, and function. The formats are related to four ascending levels of cognitive demand. We describe how these formats, together with design principles that are also derived from the history of mathematics, can be used to raise the cognitive level of existing tasks and design new tasks. The combination of formats, cognitive demand levels, and design principles is called the 4S-model. Finally, we advocate that this 4S-model can play a role in mathematics teacher training to enable prospective teachers to reach higher cognitive levels in their mathematics classrooms.
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Background: Computer-based cognitive rehabilitation is used to improve cognitive functioning after stroke. However, knowledge on adherence rates of stroke patients is limited. Objective: To describe stroke patients’ adherence with a brain training program using two frequencies of health professionals’ supervision. Methods: This study is part of a randomized controlled trial comparing the effect of the brain training program (600 min playtime with weekly supervision) with a passive intervention in patients with self-perceived cognitive impairments after stroke. Patients randomized to the control condition were offered the brain training after the trial and received supervision twice (vs weekly in intervention group). Adherence was determined using data from the study website. Logistic regression analyses were used to examine the impact of supervision on adherence. Results: 53 patients allocated to the intervention group (group S8; 64% male, mean age 59) and 52 patients who were offered the intervention after the trial (group S2; 59% male, mean age 59) started the brain training. The median playtime was 562 min (range 63–1264) in group S8 vs. 193 min (range 27–2162) in group S2 (p < 0.001, Mann Whitney U). Conclusions: The overall adherence of stroke patients with a brain training was low and there are some implications that systematic, regular interaction with a supervisor can increase training adherence of stroke patients with a restitution-focused intervention performed at home. “This is an Accepted Manuscript of an article published by Taylor & Francis in "Topics in Stroke Rehabilitation" on 04/17/18, available online: https://doi.org/10.1080/10749357.2018.1459362. LinkedIn: https://www.linkedin.com/in/joritmeesters/ https://www.linkedin.com/in/moniqueberger/ https://www.linkedin.com/in/arend-de-kloet-4329102/
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Background: Recent theoretical models emphasize the role of impulsive processes in alcohol addiction, which can be retrained with computerized Cognitive Bias Modification (CBM) training. In this study, the focus is on action tendencies that are activated relatively automatically. Objective: The aim of the study is to examine the effectiveness of online CBM Alcohol Avoidance Training using an adapted Approach-Avoidance Task as a supplement to treatment as usual (TAU) in an outpatient treatment setting. Methods: The effectiveness of 8 online sessions of CBM Alcohol Avoidance Training added to TAU is tested in a double-blind, randomized controlled trial with pre- and postassessments, plus follow-up assessments after 3 and 6 months. Participants are adult patients (age 18 years or over) currently following Web-based or face-to-face TAU to reduce or stop drinking. These patients are randomly assigned to a CBM Alcohol Avoidance or a placebo training. The primary outcome measure is a reduction in alcohol consumption. We hypothesize that TAU + CBM will result in up to a 13-percentage point incremental effect in the number of patients reaching the safe drinking guidelines compared to TAU + placebo CBM. Secondary outcome measures include an improvement in health status and a decrease in depression, anxiety, stress, and possible mediation by the change in approach bias. Finally, patients’ adherence, acceptability, and credibility will be examined. Results: The trial was funded in 2014 and is currently in the active participant recruitment phase (since May 2015). Enrolment will be completed in 2019. First results are expected to be submitted for publication in 2020. Conclusions: The main purpose of this study is to increase our knowledge about the added value of online Alcohol Avoidance Training as a supplement to TAU in an outpatient treatment setting. If the added effectiveness of the training is proven, the next step could be to incorporate the intervention into current treatment.
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Background: Alcohol use is associated with an automatic tendency to approach alcohol, and the retraining of this tendency (cognitive bias modification [CBM]) shows therapeutic promise in clinical settings. To improve access to training and to enhance participant engagement, a mobile version of alcohol avoidance training was developed.Objective: The aims of this pilot study were to assess (1) adherence to a mobile health (mHealth) app; (2) changes in weekly alcohol use from before to after training; and (3) user experience with regard to the mHealth app.Methods: A self-selected nonclinical sample of 1082 participants, who were experiencing problems associated with alcohol, signed up to use the alcohol avoidance training app Breindebaas for 3 weeks with at least two training sessions per week. In each training session, 100 pictures (50 of alcoholic beverages and 50 of nonalcoholic beverages) were presented consecutively in a random order at the center of a touchscreen. Alcoholic beverages were swiped upward (away from the body), whereas nonalcoholic beverages were swiped downward (toward the body). During approach responses, the picture size increased to mimic an approach movement, and conversely, during avoidance responses, the picture size decreased to mimic avoidance. At baseline, we assessed sociodemographic characteristics, alcohol consumption, alcohol-related problems, use of other substances, self-efficacy, and craving. After 3 weeks, 37.89% (410/1082) of the participants (posttest responders) completed an online questionnaire evaluating adherence, alcohol consumption, and user satisfaction. Three months later, 19.03% (206/1082) of the participants (follow-up responders) filled in a follow-up questionnaire examining adherence and alcohol consumption.Results: The 410 posttest responders were older, were more commonly female, and had a higher education as compared with posttest dropouts. Among those who completed the study, 79.0% (324/410) were considered adherent as they completed four or more sessions, whereas 58.0% (238/410) performed the advised six or more training sessions. The study identified a significant reduction in alcohol consumption of 7.8 units per week after 3 weeks (95% CI 6.2-9.4, P<.001; n=410) and another reduction of 6.2 units at 3 months for follow-up responders (95% CI 3.7-8.7, P<.001; n=206). Posttest responders provided positive feedback regarding the fast-working, simple, and user-friendly design of the app. Almost half of the posttest responders reported gaining more control over their alcohol use. The repetitious and nonpersonalized nature of the intervention was suggested as a point for improvement.Conclusions: This is one of the first studies to employ alcohol avoidance training in a mobile app for problem drinkers. Preliminary findings suggest that a mobile CBM app fulfils a need for problem drinkers and may contribute to a reduction in alcohol use. Replicating these findings in a controlled study is warranted.
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OBJECTIVE: To conduct a randomized controlled trial and compare the effects on cancer survivors' quality of life in a 12-week group-based multidisciplinary self-management rehabilitation program, combining physical training (twice weekly) and cognitive-behavioral training (once weekly) with those of a 12-week group-based physical training (twice weekly). In addition, both interventions were compared with no intervention.METHODS: Participants (all cancer types, medical treatment completed > or = 3 months ago) were randomly assigned to multidisciplinary rehabilitation (n = 76) or physical training (n = 71). The nonintervention comparison group consisted of 62 patients on a waiting list. Quality of life was measured using the RAND-36. The rehabilitation groups were measured at baseline, after rehabilitation, and 3-month follow-up, and the nonintervention group was measured at baseline and 12 weeks later.RESULTS: The effects of multidisciplinary rehabilitation did not outperform those of physical training in role limitations due to emotional problem (primary outcome) or any other domains of quality of life (all p > .05). Compared with no intervention, participants in both rehabilitation groups showed significant and clinically relevant improvements in role limitations due to physical problem (primary outcome; effect size (ES) = 0.66), and in physical functioning (ES = 0.48), vitality (ES = 0.54), and health change (ES = 0.76) (all p < .01).CONCLUSIONS: Adding a cognitive-behavioral training to group-based self-management physical training did not have additional beneficial effects on cancer survivors' quality of life. Compared with the nonintervention group, the group-based self-management rehabilitation improved cancer survivors' quality of life.
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Abstract Background: Patients with glioma often suffer from cognitive deficits. Physical exercise has been effective in ameliorating cognitive deficits in older adults and neurological patients. This pilot randomized controlled trial (RCT) explored the possible impact of an exercise intervention, designed to improve cognitive functioning in glioma patients, regarding cognitive test performance and patient-reported outcomes (PROs). Methods: Thirty-four clinically stable patients with World Health Organization grades II/III glioma were randomized to a home-based remotely coached exercise group or an active control group. Patients exercised 3 times per week for 20-45 minutes, with moderate to vigorous intensity, during 6 months. At baseline and immediate follow-up, cognitive performance and PROs were assessed with neuropsychological tests and questionnaires, respectively. Linear regression analyses were used to estimate effect sizes of potential between-group differences in cognitive performance and PROs at 6 months. Results: The exercise group (n = 21) had small- to medium-sized better follow-up scores than the control group (n = 11) on several measures of attention and information processing speed, verbal memory, and executive function, whereas the control group showed a slightly better score on a measure of sustained selective attention. The exercise group also demonstrated small- to medium-sized better outcomes on measures of self-reported cognitive symptoms, fatigue, sleep, mood, and mental health-related quality of life. Conclusions: This small exploratory RCT in glioma patients provides a proof of concept with respect to improvement of cognitive functioning and PROs after aerobic exercise, and warrants larger exercise trials in brain tumor patients.
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Purpose - Focusing on management training, this study aimed to establish whether identical elements in a training program (i.e. aspects resembling participants' work situation) can improve training transfer and whether they do so beyond the contribution of two well-established predictors -- motivation to learn and expected utility. In an effort to establish mechanisms connecting identical elements with training transfer, we proposed and tested motivation to transfer as a mediator. Design/methodology/approach - Data were collected online from 595 general managers who participated in a management training program. Structural equations modeling was used to test the model. Findings - Identical elements, expected utility and motivation to learn each had a unique contribution to the prediction of training transfer. Whereas motivation to learn partly mediated these relationships, identical elements and expected utility also showed direct associations with training transfer. Research limitations/implications - Identical elements represent a relevant predictor of training transfer. In future research, a longitudinal analysis from different perspectives would be useful to better understand the process of training transfer. Practical implications - Participants may profit more from management training programs when the training better resembles participants' work situation. Organisations and trainers should therefore apply the concept of identical elements in their trainings, in order to increase its value and impact. Originality/value - This study contributes to the training literature by showing the relevance of identical elements for transfer, over and above established predictors.
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This pilot study explores the possibility of cognitive training software Neurotracker (NT), to have potential beneficial effects for Traumatic Brain Injury patients with Sensory Processing Disorder. Five subjects with TBI and SPD trained for 5 weeks/21 sessions with Neurotracker. Pre-post training cognitive tests (WAIS TMTA, TMTB, LNS) and surveys were conducted to measure possible cognitive differences with no statistical significant results. However, significant improvement in Neurotracker scores were found. =2.73, SD = 0.55) and positive changes associated with attention attention span, divided attention, (multiple) object tracking and motion sickness. LinkedIn: https://www.linkedin.com/in/bernard-de-roosz-28b96b125/
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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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