View clinical trials related to Physical Inactivity.
Filter by: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.
The aim of this pilot study is to determine the effects of a 12-week indoor rock climbing training program on heart health, mental health, and behavioral health in generally healthy adults aged 18-35 years old who do not exercise. Participants will learn to rock climb using ropes on an indoor rock climbing wall and participate in the training program 2-3 days per week for 60 minutes each session over 12 weeks. Health outcomes will be measured at 4 time points over the course of the study (pre-intervention, 6-weeks/mid-intervention, 12-weeks/post-intervention, and 24-weeks post-intervention).
In this randomized controlled trial, study staff will randomize 130 Hispanic/Latino adults without dementia and over age 55 from Southern California to either the culturally adapted De Pie physical activity intervention or an active comparison program focusing on general brain health topics. The purpose of this study is to determine if 12 weeks of the culturally adapted and fully remote De Pie y a Movernos intervention improves self-efficacy, habit strength, social support, and enjoyment for physical activity (PA), thus promoting adherence to moderate-intensity physical activity (MIPA) guidelines (150 minutes/week).
The ACtive BEhaviour in School Education (ACTIBESE) project aims to assess and intervene in Chilean schoolchildren's active behaviours by examining the influence of personal, interpersonal, and school factors. This study includes a cross-sectional and intervention study involving 152 schools in the Valparaíso and Araucanía Regions, representing urban and rural areas. Participants, divided into children (8-11 years old) and adolescents (12-17 years old), will undergo a comprehensive evaluation, including sociodemographic characteristics, physical activity (PA) levels, parental and peer support, teaching styles of the teachers, and school environment characteristics. For the cross-sectional study, questionnaires, interviews, accelerometry, and pedometry will be used to collect data on various factors influencing PA in schoolchildren. In the intervention study, a 5-month continuous training program for teachers will be implemented, focusing on improving teaching styles and enhancing teaching competencies related to physical education and health classes. The program aims to positively affect schoolchildren's PA indirectly through improved teaching practices. The research will use mixed models, ANCOVA (Analysis of Covariance) , and logistic regressions for data analysis, incorporating multilevel logistic regressions to account for school-level dependencies. The study's outcomes will contribute valuable insights into the complex interactions between school, interpersonal, and personal factors influencing schoolchildren's PA, aiding the development of targeted interventions. This comprehensive approach aligns with the project's goal of fostering a physically active lifestyle among Chilean schoolchildren.
This study aims to investigate the independent and combined associations between physical activity and nutrition condition with mortality among cancer survivors.
With funding from the United States Department of Agriculture (USDA), the Tufts University's Friedman School of Nutrition Science and Policy will be implementing a new, health and wellbeing program for Head Start educators at ABCD Head Start Centers in the greater Boston area. The purpose of this study is to evaluate the combined impact of a health and wellness program and behavior change guides. The evaluation will focus on ABCD Head Start educators as the study population. Tufts University's Friedman School of Nutrition Science and Policy is responsible for implementing and evaluating this new intervention through surveys and analysis of administrative (health and wellness App) data. A paper and pencil survey will be used to gather information on dietary, physical activity, and sleep behaviors. The surveys will also include a module on satisfaction with the health and wellness App and Guides. Survey data will be combined with the administrative data about App utilization.