View clinical trials related to Physical Inactivity.
Filter by:The goal of this study is to learn if a behavioral change intervention can improve physical activity in stroke survivors living in the community. The main question it aims to answer is, if a behaviour change intervention and personalised physical activity prescription, are effective in improving the time spent in moderate to vigorous physical activity amongst chronic stroke survivors. Researchers will compare the intervention group to a control group, to see if physical activity counselling and a personalized physical activity prescription is more effective in improving moderate to vigorous physical activity, than usual care alone. The study period for each participant is 6 months. Assessments are conducted at month 1 (baseline), 3 and 6. The control group will receive only usual care, which consists of an information sheet on physical activity with the following content: (1) Why be active and (2) How to be active (with URL links to resources and videos). The usual care is delivered at 3-time points during month 1, 3 and 6. The intervention group will receive usual care and a behavioral change intervention. The behavioral change intervention consists of up to 6 individual physical activity counselling sessions and a personalized physical activity prescription. The 6 sessions will take place only during months 1 to 3 and there will be no intervention during months 4 to 6. Of the 6 sessions, 3 are conducted face-to-face and another 3 sessions will take place using telehealth methods such as phone, text messaging and videoconference. Participants can meet the study physiotherapist at their preferred exercise space during the 3 face-to-face sessions. The physical activity counselling sessions consist of goal setting and action planning, and problem-solving barriers around participation in physical activity. The overall aim is to increase time spent in moderate-vigorous physical activity.
The health-related benefits of physical activity are well established for all age groups. It also has positive effects on memory, executive function and school performance in children and adolescents. However, it is known that 81% of individuals between the ages of 11-17 live a life that is not physically active enough. The World Health Organization recommends interventions to increase physical activity. In this study, 48 students from 5th, 6th and 7th grades will be selected from randomly selected secondary schools in Karaman central district and will be divided into experimental and control groups. In this randomized controlled study, behavior change intervention with the 5A model will be applied to the experimental group, and no intervention will be applied to the control group. Physical activity levels, physical and psychosocial health of children in both groups will be evaluated at the beginning of the intervention, at Week 8 and at Week 28. Physical activity diary, "Physical activity scale for 4-8 Grades" scale will be used to measure children's physical activity levels. For their physical health, body composition, strength, flexibility and functional capacity will be evaluated. Quality of life with the "Pediatric Quality of Life 4.0 Inventory" for psychosocial health; Cognitive functions will be evaluated with "CNS Vital Signs Cognitive Performance and Attention Tests". This study aims to evaluate the sustainability effect of the 5A intervention on physical activity and its impact on physical health and psychosocial health.
There is "strong" evidence that physical activity (PA) can reduce the risk of breast cancer, which is important for individuals at higher-than-average risk due to their family history or genetic susceptibility. PA can also enhance quality of life (QoL), fitness, and surrogate markers linked to cancer prognosis (e.g., weight). Despite this evidence, most individuals in this cohort are insufficiently active, meaning they do not meet Canadian recommendations of at least 150 minutes of PA each week. This study aims to develop materials that can help increase the number of adults at higher-than-average risk who meet PA recommendations, alongside improving QoL and body mass index (BMI; a measure of one's body weight-height ratio). Participants will include individuals assigned female at birth, aged 30-69 years, at high-risk of breast cancer registered in the Ontario Breast Screening Program who will be randomly assigned to receive (1) the intervention, which includes a copy of PA recommendations (Canadian Society for Exercise Physiology [CSEP] recommendations for adults plus content spotlighting PA benefits) plus a PA motivation package featuring three 20-minute online webinars (explaining PA benefits and how to get started), digitized PA materials (providing evidence-based tools to modify behaviour), and a digitized logbook (to track PA) or (2) only a copy of PA recommendations.
The goal of this monocentric observational study involving acute hospitalised patients is to develop a classification algorithm for the detection of various movements parameters.
This study will investigate the effects of physical activity in young adults. With the increase in physical activity, the change in smartphone addiction, pain and sleep quality parameters will be evaluated.
The goal of this monocentric observational study involving acute hospitalised patients is to validate the accuracy of classification algorithms for the detection of various movements parameters.
This study aims to test the effectiveness of different types of incentives to motivate walking among people who use a tracker app. App users will be randomly allocated to three groups, Group 1 will received assured incentives in the form of points per minute of walking, Group 2 will received non-assured incentives in the form of prize draw tickets, one ticket per minute of walking and Group 3 will receive a combination of the two. App-users will be invited to join the study and those who consent to joining will track their walking activity for 12 weeks using the BetterPoints app. Participants will also be asked to complete a survey at the start and end of the study period to assess motivation and responsiveness to reward. At the end of the 12 weeks intervention period, changes in minutes of walking from the start of the study to three follow up time points will be assessed and compared between groups. Total minutes of walking will also be compared between groups. Differences in reported levels of autonomous motivation will be assessed between the start and end of the study and between groups.
This study looks into how a common breast cancer treatment, paclitaxel, can sometimes cause severe side effects that make it hard for patients to continue treatment. These side effects can significantly affect a patient's quality of life and even impact their recovery and overall health costs. What's interesting about this research is that it considers how a patient's lifestyle, specifically their physical activity levels and body makeup (like how much muscle and fat they have), might influence these side effects. The researchers are doing a detailed study with 40 women receiving paclitaxel treatment, tracking how the drug is processed in their bodies and how their body composition and physical activity might play a role in the side effects they experience. They are using a special method to monitor drug levels in the blood and are also keeping tabs on the patients' health and physical activity through questionnaires and modern tracking devices. The goal here is twofold: first, to better understand why these side effects happen to some people and not others, and second, to develop a model that can predict who might be at higher risk for these side effects based on their body composition, lifestyle, and how their body handles the drug. This could lead to more personalized treatment plans that could help reduce the risk of severe side effects and improve the overall treatment experience for patients with breast cancer. In simpler terms, this research is trying to find a way to make breast cancer treatment with paclitaxel safer and more comfortable by considering how a person's lifestyle and body type might affect their reaction to the drug. This could make a big difference in helping patients complete their treatment successfully and with a better quality of life.
This is a small pilot intervention trial in which we will collect preliminary data to demonstrate the feasibility of an intervention study.
This is a clinical trial that includes a run-in period, a 90 day micro-randomized trial, and a 90-day observational period. The goal of this study is to evaluate whether providing paired real time glycemic and health behavior data in a smartphone app leads to better glycemic control among adolescents and young adults with T2D. Glycemic control will be monitored using Continuous Glucose Monitors (CGM), and health behavior data will be collected via a Fitbit activity tracker and a research app (Healthmine). Participants will be prompted to view and reflect on glycemic trends and health behavior data (Fitbit data, logging of diet and medication adherence) during the 90-day micro-randomized trial period, then observed for ongoing use of the Healthmine app and engagement with CGM in the following 90-day observation period.