View clinical trials related to Physical Activity.
Filter by:This study aims to determine the effects of a motor-cognitive exercise intervention, delivered in the home environment using eHealth methods, among people with Parkinson's disease. The intervention will support and motivate motor training, combined with cognitive training, aimed at attentional and executive functions, among people at mild-moderate disease stages. The main hypothesis is that unsupervised motor-cognitive training in the home environment using eHealth will lead to improvements in gait performance, increased physical activity levels and improved perceived health.
Regular physical activity is extremely important for the protection and development of physical and psychosocial health. In addition, acquiring regular physical activity habits in the early years of life allows maintaining numerous gains related to physical fitness, functional capacity and psychoemotional health into adulthood. Guided by scientific and technological innovations, focusing on sustainable development goals, the vision of Society 5.0 is based on digital innovation with artificial intelligence, the internet of things, digital technologies and big data, and is to increase the awareness of individuals and encourage individuals to take a role in improving their health status with wearable technology and mobile health applications. In the literature, only one study has been found on the acquisition of big data with wearable technologies for the promotion of physical activity in adolescents. The general aim of our project is to obtain smartwatch-based big data for adolescents, which will be done for the first time in the field of health and sports in our country, and to analyze the obtained data using both statistical methods and big data analytics and artificial learning methods, to develop Pediatric Physical Activity Tracking Platform (Pedi@ktivite) through physical activity algorithms and to reveal the effect of the developed system on the physical fitness of adolescents and the usability of the system with scientific evidence. Within the scope of the project, adolescents with chronic rheumatic disease will also be included in the sample group, and the effects of the system to be developed in adolescents with the chronic rheumatic disease will be demonstrated. Due to the results obtained, we believe that this technology-supported approach will be an example of good practice for other chronic diseases. As the first technology-supported and big data-oriented project for health and sports in adolescents, our project will fill an important gap and provide pioneering results for future projects, paving the way for providing services in the fields of health and sports with big data analytics and addressing physical inactivity.
This study aims to assess the effect of protein on appetite, food intake and gastric emptying in older adults (≥ 65 years) that are more and less active.
Asthma is a chronic disease, which leads to a number of adverse outcomes, including lower levels of physical activity (PA). Physical inactivity is an important risk factor, increasing PA has become a patient-centred goal for the treatment of subjects with asthma. Data provided by activity monitors are commonly used to measure daily PA. A recent systematic review showed that adults with asthma had lower levels of total, moderate and vigorous physical activity than those without asthma. There are no data showing the possible effects of a Pulmonary Rehabilitation (PR) program on PA (number of daily steps) in normal-weight subjects with asthma. The main objective of this pilot study is to obtain estimates of the mean value of number of daily steps, time spent on activity in hours and of other variables in normal-weight subjects with asthma measured before and after the PR program. No estimates about these parameters in the same population are currently available from literature search.
The intervention study consist in 3 months of follow up to evaluate the effect of resistance exercise on NLRP3 and interleukin-18 (IL-18) gene expression, and IL-18 and IL-1b cytokines levels in obese subjects, due to, the current evidence has been suggested that aerobic physical exercise could reduce the low-grade chronic inflammation through the downregulation of the NLRP3 inflammasome in obesity subjects, however, there are not enough evidence with resistance protocol. The investigator randomized into two intervention groups: a) group with resistance exercise training plus hypocaloric diet, and b) group with hypocaloric diet. The blood sample was taken fasting at baseline and final intervention (3rd month). The serum was separated for biochemical analyzes and the quantification of cytokines levels. The RNA was obtained from leukocytes to expression assay.
Native Americans suffer disproportionately from chronic diseases that may be prevented by achieving a healthy diet, physical activity and weight. For this pilot study, the aim is to examine the effectiveness and feasibility of a standard lifestyle management program implemented in community based settings among Native Americans.
The study assesses the effects of long-term movement integration intervention in academic lessons of primary education (6th grade) on physical activity levels and sedentary behaviour, executive functions, academic achievement and on-task behaviour. To achieve it, a cluster randomized controlled trial design will be adopted, where schools will be the clusters.
Background: Physical activity (PA) has an impact on physical and mental health in neurotypical populations, and addressing these variables may improve the prevalent burden of anxiety in adults with autism spectrum disorder (ASD). Gamified mobile apps using behavior change techniques present a promising way of increasing PA and reducing sedentary time, thus reducing anxiety in adults with ASD. Objective: This study aimed to compare the effectiveness of a gamified and behavior change technique-based mobile app, PuzzleWalk, versus a commercially available app, Google Fit, on increasing PA and reducing sedentary time as an adjunct anxiety treatment for this population. Methods: A total of 24 adults with ASD were assigned to either the PuzzleWalk or Google Fit group for 5 weeks using a covariate-adaptive randomization design. PA and anxiety were assessed over 7 days at 3 different data collection periods (ie, baseline, intervention start, and intervention end) using triaxial accelerometers and the Beck Anxiety Inventory. Group differences in outcome variables were assessed using repeated-measures analysis of covariance, adjusting for age, sex, and BMI.
Mexico is going through a major environmental and nutritional crisis, which is related to unsustainable dietary behaviors. Sustainable diets could solve both problems together. However, in Mexico and the world, an intervention program oriented to promoting sustainable diets has not been designed. This study protocol aims to design a 3-stages, 15 weeks, sustainable-psycho-nutritional digital intervention program whose objective is to promote the adherence of the Mexican population to a sustainable diet and to evaluate its effects on dietary water and carbon footprints, metabolic biomarkers, and gut microbiota of this population. The behavior change wheel model and the guide for digital interventions design will be followed. In stage 1, the program will be designed using the sustainable diets model, and the behavior change wheel model. A sustainable food guide, sustainable recipes, and food plans as well as a mobile application will be developed. In stage 2, the intervention will be carried out for 7 weeks, and a follow-up period of 7 weeks, in a sample of Mexican young adults (18 to 35 years) randomly divided into an experimental group (n=50) and a control group (n=50). The nutritional care process model will be used. Anthropometric, biochemical, clinical, dietary, environmental, socioeconomic level and cultural aspects, nutritional-sustainable knowledge, behavioral aspects, and physical activity will be considered. Thirteen behavioral objectives will be included using successive approaches in online workshops twice a week. The population will be monitored using the mobile application that will include behavioral change techniques. In stage 3, the effects of the intervention will be assessed on the dietary water and carbon footprint, lipid profile, serum glucose, and gut microbiota composition of the evaluated population. It is expected to find improvements in health outcomes and a decrease in dietary water and carbon footprints. With this study, the first theoretical-methodological approach to the sustainable-psycho-nutrition approach will be generated.
Obesity is defined as abnormal or excessive fat accumulation that can impair health. Obesity is considered a risk factor for diseases such as hypertension, heart failure, coronary heart diseases, diabetes mellitus, sleep apnea, and osteoarthritis. The prevalence of obesity is increasing all over the world. Therefore, it is very important to decide on the most appropriate treatment therapy method for the treatment of obesity. Bariatric surgery has become an accepted method in the treatment of obesity in recent years. It is the most effective and efficient treatment method in the long term for individuals with severe obesity. Exercise therapy is recommended by literature to maintain weight loss, prevent weight regain and minimize complications after bariatric surgery. However, there is no consensus on the appropriate exercise program. There is heterogeneity in the type, intensity and duration of exercise. In addition, the effect of clinical pilates exercises in the post-bariatric period has not been examined. Moreover, there is no study conducted in the post-bariatric period with telerehabilitation, which has been very popular in recent years. This study aims to reveal the effect of clinical pilates exercises on the functionality and physical fitness of post-bariatric patients. The results of our study will also contribute to the literature by revealing the effect of telerehabilitation on these patients.