View clinical trials related to Lifestyle, Sedentary.
Filter by:The goal of this clinical trial is to compare in the effect of different lifestyle interventions in overweight and obese participants. The main questions it aims to answer are: - effect on anthropometric measurements - effect on lipid profile - effect on weight-related quality of life - observe the differences between interventions The study participants were stratified into three groups: intervention, control-1, and control-2. - Intervention group: They were given a calorie-restricted diet and exercise plan by a dietician or physiotherapist at their first visit, and were followed up by telephone calls at weeks 2, 4, 6, 8 and 10 over 12 weeks. - Control-1 group: During the initial medical interview, the participants were given a calorie-restricted diet programme by a dietician and an exercise programme by a physiotherapist; they were followed up over 12 weeks with telephone calls at week 4. - Control-2 group: The participants were not provided with any programme, and the importance of weight loss was emphasised by the family physicians. Dietary and physical activity advice was given according to the recommendations in the Turkish Endocrine and Metabolism Association 2019 Obesity Diagnosis and Treatment Guide, and was followed up with phone calls at weeks 2, 4, 6, 8 and 10 over a 12-weeks.
Background: Although the health benefits of physical activity are well established, it remains challenging for people to adopt a more active lifestyle. Mobile health (mHealth) interventions can be effective tools to promote physical activity and reduce sedentary behavior. Promising results have been obtained by using gamification techniques as behavior change strategies, especially when they were tailored toward an individual's preferences and goals; yet, it remains unclear how goals could be personalized to effectively promote health behaviors. Objective: In this study, the investigators aim to evaluate the impact of personalized goal setting in the context of gamified mHealth interventions. The investigators hypothesize that interventions suggesting health goals that are tailored based on end users' (self-reported) current and desired capabilities will be more engaging than interventions with generic goals. Methods: The study was designed as a 2-arm randomized intervention trial. Participants were recruited among staff members of Noorderkempen governmental organization. They participated in an 8-week digital health promotion campaign that was especially designed to promote walks, bike rides, and sports sessions. Using an mHealth app, participants could track their performance on two social leaderboards: a leaderboard displaying the individual scores of participants and a leaderboard displaying the average scores per organizational department. The mHealth app also provided a news feed that showed when other participants had scored points. Points could be collected by performing any of the 6 assigned tasks (eg, walk for at least 2000 m). The level of complexity of 3 of these 6 tasks was updated every 2 weeks by changing either the suggested task intensity or the suggested frequency of the task. The 2 intervention arms-with participants randomly assigned-consisted of a personalized treatment that tailored the complexity parameters based on participants' self-reported capabilities and goals and a control treatment where the complexity parameters were set generically based on national guidelines. Measures were collected from the mHealth app as well as from intake and posttest surveys and analyzed using hierarchical linear models. Note: Eindhoven University of Technology is not an official GCP sponsor. Hence, this study is not a medical clinical trial.
The purpose of this research study is to compare the effectiveness of a fully automated digital diabetes prevention program to standard of care human coach-based diabetes prevention programs for promoting clinically meaningful lifestyle changes to reduce the risk of type 2 diabetes in adults with prediabetes.
This is a longitudinal study combining objective sensor data, with decision-making games and contextual personality traits to identify patterns in exercise decay. The data generated will be used to build computational models to predict digital personas, and help identify those individuals most likely to abandon exercise goals.
Introduction: Regular practice of exercise or physical activity (PA) is a recognized intervention as a determinant of good health acquisition, maintenance, or recovery for a large number of chronic pathologies. Nevertheless, few studies have evaluated adherence to an initial health-adapted PA (APA) program, and persistence of active behavior over the time in individuals with a chronic disease. The aim of the study is to determine the brakes and levers associated with motivation and long-term compliance. In addition, the investigators aim to evaluate the cost-effectiveness of such program in term of care consumption. Finally, the investigators complete their interest for APA prescription from practitioners agreeing to enroll their patients in the present study. Method: The investigators perform a prospective monocentric cohort, of 2024 patients affected of a chronic disease or long-term illness (LTI), enrolled from 2021 to 2024 (4 years, 506 per year), for a 16-week APA program, and followed 5 years with an annual fitness and habits of life and care consumption evaluation.
Contemporary cardiopulmonary rehabilitation programs often utilize cycling ergometer, involving one-on-one heart rate monitoring by physiotherapists to ensure that patients reach the target training intensity during training sessions. However, the process is frequently described as monotonous and boring, resulting in early fatigue of therapists and patients as well as poor compliance, leading to undertraining and suboptimal outcomes. This study aims to test the feasibility of the "Intelligent Cardiopulmonary Training System (ICRS)" and a novel indicator of measuring the adherence to training intensity. The ICRS was developed with the idea to provide machine-based supervision on the user's heart rate during training. It provides moderate-intensity continuous training with a cycling ergometer. This system automatically adjusts the paddling resistance according to the user's real-time heart rate, and helps to improve the user's adherence to pre-determined training intensity without trainer's watch. The automation of intensity adjustment has its potential for conditions in which supervision is not feasible.
Care home residents spent 79% of their time being sedentary. Reduced physical activity and lack of mental stimulation causes general weakness and frailty in older adults that can result in increased healthcare needs. It is important that care home residents spend their time being both physically and psychosocially engaged. This study aims to investigate the effect of a wellness programme on physical and psychosocial wellbeing in older adults living in care homes. Through this process this study will assess the feasibility of implementing the programme and collecting data in care home settings. There are two main groups of participants, 1) care home residents and 2) care home staff. Care home residents will have data collected at three time points. The first time point will be before the intervention (baseline) in the care home setting. The second time point will be three months after the intervention has been delivered. The third time point will be 6 months after the intervention has been delivered. The following measurements will be conducted: 1. Measuring hand grip strength by having to grip a device as firmly as possible and measurements will be taken, 2. Answering questionnaires about quality of life, daily routine, appetite, thoughts about wellness activities the participants have participated in, 3. Wearing a little 'match box-like' device (that measures daily movements and sleep patterns) for 7 consecutive days. Care home staff will be invited to participate in a focus group discussion 6 months after the intervention. Hence, this research will aim to understand the impact of a wellness programme that incorporates physical and psychosocial components that targets the holistic wellbeing of older adults.
The primary goal of this study is to examine the effect of one-hour walking exercise on sleep quality in adults. The second goal of this study is to explore a feasible exercise method to promote sleep quality to all age groups, in order to improve sleep quality in overall population. The study attempts to unfold how the daily exercise, such as walking, benefits sleep quality. This study hypothesis that one-hour walking improves sleep quality in general population.
There are few studies that already have validated specific raw accelerometer cut-points for people over 65 years old. The purpose of the present study is to validate raw accelerometer cut points for general people over 65 years old and specific raw accelerometer cut points based on the functional status of older adults over 65 years old. The study will be carried out with an observational approach. Participants will be divided into 4 groups. First of them will be made grouping all subjects and the rest divided according to their functional status. They will perform different-intensity physical activities while wearing accelerometers attached to their body and wearing a portable gas analyser too. Their intensity will be assessed based on their own Rest Metabolic Rate (RMR). Energy expenditure and accelerations will be matched and, based on that, sedentary behaviour, light physical activity and moderate-to-vigorous physical activity cut-points will be derived.
Prostate cancer (PCa) is among the most widespread in the male population and represents 20% of all cancers diagnosed from the age of fifty, in Italy. Androgen deprivation therapy (ADT) is a common strategy of treatment that is used for increase survival. However, ADT is associated with significant side effects, such as fatigue, loss of muscle mass and strength, cognitive decline and reduced quality of life, with an increased the risk for falls and fractures, cardiometabolic syndrome and cardiovascular events. The numerous side effects from ADT could potentially be countered by the regular Physical Exercise (PE), with favorable effects on body composition, physical performance, bone health and cognitive function. However, to maintain the results obtained, PE must be undertaken regularly, becoming a healthy habit of life. The patient motivation is therefore a fundamental element for guaranteeing adherence to the intervention and its integration into people's lifestyle. The study aim is to analyzed patients with PCa at the time of diagnosis regarding their lifestyle, includes regular PE, and motivation to make changes about their habits. In addition, the investigators will describe the perceived barriers by patients about this change. The data collected will allow the development of an experimental intervention of PE, associated with therapeutic education, and assess its impact on the health of patient undergoing ADT, considering the realistic possibilities of application in the daily life of these patients, testing its feasibility and safety, the compliance and the satisfaction of the patients.