View clinical trials related to Fatigue.
Filter by:While walking, fatigue, sensorimotor function and motor control can affect in many ways. This research focuses on the relationship between foot core muscles with balance and gait parameters. The main purpose of the project is to investigate the effect of the endurance and fatigue responses of the extrinsic and intrinsic foot core muscles and the isolated fatigue response of the tibialis posterior muscle on balance and gait parameters.
The purpose of this study is to explore the effects of extremely low frequency electromagnetic waves on improving stress and sleep quality. Experimental studies, pre- and post-test double-blind crossover tests are adopted. The selected subjects include: patients in the sleep center of the Taipei Medical University Hospital and the Department of Nursing and Bachelor of Taipei Medical University There are about 100 students in the post-nursing department. They are randomly assigned to groups A and B using a computer. The experiment period is two weeks. The two groups will take a pre-questionnaire test in the afternoon of the first day of the experiment and wear wearable bracelets. Group A first After getting the device with low-frequency electromagnetic field, group B first got the device without low-frequency electromagnetic field. The appearance of the two is the same. The bracelet is worn from the afternoon of the first day to the afternoon of the fourth day, a total of three days, and the device is withdrawn at the end of the first stage The two groups exchanged, repeat the steps to complete the second stage, after the end of the post-test, the two groups plug in the device half an hour before going to bed every day, and put it on the bedside table about 20cm away from the head, and then turn off the device after getting up. The research tools are basic attribute questionnaires, sleep quality scales, sleep diaries, smart care VIP bracelets, and EEG. Among them, the wearable bracelet can monitor the stress index, fatigue index, calories burned, and walking steps. Then SPSS 22.0 software is used for data file building and statistical analysis. The data is analyzed by descriptive statistics and inferential statistics. The expected result is that the experimental group and the control group have significant differences in reducing stress and improving sleep quality, which can relieve stress and improve sleep quality.
This project will examine the effectiveness of an intervention to reduce sedentary behavior in Kansas State University employees who are primarily working from home. We will recruit 100 employees to participate. Participants will be randomly assigned to one of four conditions: desk only, program only, desk + program, or waitlist control. The program will consist of strategies to reduce sitting and increase physical activity in the home environment. We will assess whether the intervention successfully elicits reductions in sitting among employees, as well as changes in cardiometabolic and work-related outcomes.
This study is an 8-week single center, randomized, double-blind, placebo-controlled, flexible titration trial evaluating the efficacy of solriamfetol in the treatment of fatigue symptoms in adult patients with chronic fatigue syndrome. Subjects will be randomized to a solriamfetol group or placebo group. The investigators will utilize an intent to treat model and impute data. The overall goal of this study is to determine the efficacy and effectiveness of solriamfetol for treating chronic fatigue syndrome.
The main objective of this study is to analyse the effectiveness of the VIRTUAL SFCAMINA multicomponent treatment program as coadjuvant of treatmentas- usual (TAU) compared to TAU alone. In this Randomized Controlled Trial (RCT), in addition to evaluating the clinical effects of VIRTUAL SFCAMINA treatment in the short- and long term.
Immune checkpoint inhibitors (ICIs) are a group of novel immunotherapies that boost the body's own defense against the cancer by improving the immune system's ability to recognize and destroy cancer cells. While it is relatively well-documented that conventional cancer treatments (e.g., chemotherapy) are associated with cognitive impairment, virtually nothing is yet known about effects on cognition during and after ICI treatment. Due to significantly improved survival rates after ICI treatments, it becomes important to map possible adverse effects associated with these treatments. The investigators therefore investigate possible changes in cognitive function in a group of cancer patients from prior to ICI treatment to nine months later. A gender- and age- matched healthy control group will serve as a comparison. The study has the potential to broaden our understanding of associations between cognition, the brain, and the immune system and to provide clinically relevant knowledge about possible cognitive impairments associated with immunotherapy.
The objective of this investigation is to establish the feasibility and initial effectiveness of a novel exercise program for rural cancer survivors in Colorado suffering from cancer related fatigue. Participation in an exercise program has regularly been shown to reduce fatigue in cancer survivors, though in-person, supervised participation has a greater effect on fatigue than home-based programs with no supervision. Access to these supervised programs are limited in rural areas, restricting the ability of rural cancer survivors to experience the fatigue-reducing benefits of exercise. The proposed program will use information on improvements in fatigue from participants in the BfitBwell Cancer Exercise Program to monitor improvements in fatigue in rural cancer survivors performing a home exercise program and trigger a telehealth session with a cancer exercise specialist to adapt the exercise prescription when improvements are less than expected. The BfitBwell Program is an established exercise program at the Anschutz Health and Wellness Center which has worked with over 600 cancer survivors and is highly effective at reducing cancer related fatigue. The goal of the program is to replicate the effects of a successful supervised exercise program in rural cancer survivors who do not have access to this type of program. This investigation will recruit 20 rural cancer survivors experiencing fatigue and assess their ability to participate in the program, as well as how well the program improves their fatigue. Interviews will be conducted with participants after the program to determine how future versions of the program could be improved. The investigators anticipate that this program will be feasible and effective, providing preliminary data to pursue a large-scale clinical trial of the program following this project's completion.
Persistent physical symptoms (PPS) might diminish studying or workability and daily functioning without a clear medical or environment-related explanation. Psychosocial, patient-involving treatments that support individuals' abilities managing with the PPS and health behaviours have shown promising effects in treating PPS but the acceptability of these treatments among symptomatic individuals is low. This study aims to assess the effectiveness of an eHealth intervention based on relational frame theory and acceptance and commitment therapy on PPS with two focus groups, among participants with indoor air associated disabling symptoms or persistent, chronic fatigue. This study will compare web program enhanced with video-based individual case formulation with treatment as usual. The web program includes 10 one weeks (pilot included 6 two weeks) modules. In addition to patient-reported outcomes, ecological momentary assessments are conducted to provide real-time data on functioning and national registers are used to obtain information on health-care use and social benefits. Data collection begins in August 2020 and will continue until 2023.
This study is testing whether a 6 week skills-based telehealth intervention can help ovarian cancer patients experiencing PARP inhibitor-related fatigue reduce the impact of fatigue on their daily life and activities.
Physical frailty is an age-related medical syndrome defined by a decline in multiple body systems, thus causing increased vulnerability, even in the face of minor stressors (1) It has been linked to multiple negative health outcomes, including extended length of stay in acute care due to complications, hospital re-admissions, and mortality among older patients. About 10-30% of community-dwelling seniors are considered frail(2) with an additional 40% being at risk for the condition (pre-frailty). By 2030, the number of older adults with frailty is expected to at least double, in parallel to the projected growth of the older segment of the population. Frail seniors consume 3-times more health care resources then their robust counterparts. Thus, the health economic impact of frailty is expected to be enormous and a call to action has been posed. Big data in healthcare provides important opportunities for the identification of frailty among the growing number of older patients. This is relevant as frailty is considered a better predictor of adverse outcomes than chronological age alone. Therefore, several medical specialties have started to assess frailty in cancer patients, heart surgery candidates and potential organ transplant recipients.