View clinical trials related to Physical Activity.
Filter by:Though face-to-face treatment of childhood obesity can be effective, it is time consuming and costly. This study will test whether treatment can be delivered via an Android app and whether such treatment reduces obesity.
Background: Low levels of cardiorespiratory fitness are associated with high risk of non-communicable diseases and all-cause mortality. Physical activity level is the primary determinant of cardiorespiratory fitness in adults. However, knowledge on how to motivate people to engage in physical activity and maintain an active lifestyle is lacking. This study aims to investigate whether a motivational, individual, and locally anchored exercise intervention, in primary care, can improve cardiorespiratory fitness in 30 to 49 year olds with a low or very low cardiorespiratory fitness. Design: Randomised controlled trial with 6 and 12 months follow-up. The primary outcome is cardiorespiratory fitness. Secondary outcomes include biochemical parameters (HbA1C, HDL- and LDL-cholesterol, and triglyceride), physical activity level (measured by accelerometer), self-reported physical activity, anthropometric parameters and health-related quality of life. Methods: Cardiorespiratory fitness will be estimated via a maximal incremental exercise test and expressed as the index of maximum oxygen uptake per minute divided by body weight (ml O2/kg/min). A total of 236 participants, classified with a very low or low cardiorespiratory fitness at a local health check programme, (corresponding to ≤ 39 and ≤35 ml O2/kg/min. for 30-39 and 40-49 year-old men respectively and ≤33 and ≤31 ml O2/kg/min. for 30-39 and 40-49 year-old women respectively), will be randomised into two groups. The intervention group will receive 4 motivational interviews, six months membership to a sport club, and a global positioning watch to upload training activity to a social media. The comparison group will receive standard care: a one hour motivational interview. In addition to an Intention-to-treat analysis a per-protocol analysis will be performed. Effect of the intervention will be estimated by evaluating the differences in mean changes in cardiorespiratory fitness between the two groups. Discussion:In new and innovative ways the focus of this study will be to improve cardiorespiratory fitness among a 30-49 year-old at-risk group using social media, GPS-technology, on-going personal support and individually tailored physical activity.
The purpose of this study is to develop and evaluate an adaptive shaping intervention based on Behavioral Economics and Operant principles to promote physical activity behaviors (adaptive group) and compare to a static physical activity intervention (static group) using a two-group randomized controlled trial design. Participants will include 20 overweight men and women (BMI 25-35 kg/m2) between 18 to 55 years. Both groups will receive the following components: 1) a pedometer, 2) self-monitoring of physical activity, 3) brief educational materials, 4) motivational prompts, 5) physical activity goals, and 6) small financial incentives. The Adaptive Intervention (AI) group will receive adaptive goals and feedback based on percentiles and a "moving" window of their recent physical activity, with incentives linked to goal attainment. Comparison intervention participants will receive the static 10,000 steps per day goal, with matching incentive amounts but without incentives linked to goal attainment. The study will compare differences in goal setting and shaping procedures that aim to increase physical activity behavior. Primary aims include: 1. To determine whether physical activity (pedometer-measured steps/day) in both the Adaptive and Static interventions increased compared to their respective baselines. Hypothesis: Both the adaptive and static interventions will result in increased physical activity over 6 months. 2. To evaluate whether the Adaptive Intervention results in greater change in physical activity (pedometer-measured steps/day) compared to the Static Intervention. Hypothesis: The adaptive intervention will result in significantly greater physical activity, measured by pedometer, compared to the static intervention over 6 months. 3. To assess participants' satisfaction with the overall program. Hypothesis: Adaptive Intervention participants will report greater overall satisfaction with the intervention than the Static Intervention participants.
In diabetes, the honeymoon period is characterized by the presence of a functional reserve of β-cells that favours an adequate metabolic control and low insulin needs in order to control glycaemia. Therefore, the extension of this period could have evident benefits in diabetes management. The investigators aimed to study the influence of regular physical activity on the prolongation of the honeymoon period
The purpose of this trial is to study the effects on exercise capacity, physical activity, inflammatory markers and quality of life of supplemental ambulatory oxygen, to be used during physical activity, in patients with COPD who are normoxic at rest but hypoxemic during a six-min walk test. Our hypothesis is that if patients are able to use supplemental oxygen they will be more physically active and thereby improve health related quality of life.
Fall-related injuries are a major health problem in the growing older population. Most older people are not aware of that physical training can decrease the risk of falling. The aim of tha study is to investigate the effect of the Otago home exercise programme with and without motivational interviewing in community-dwelling people 75 years or older on frequence of falls, fall-related injuries, physical capacity, fall-related self-efficacy, quality of life, mortality and health-related costs.
The majority of the US population spends most of the day sitting and the we have new scientific evidence that this can contribute to poor health regardless of how much physical activity a person does. However, we do not measure sitting time very accurately and when we ask people to tell us how much they do, their answers are unreliable. Our study will use small sensors to objectively measure when people sit or do physical activity, and we will use sophisticated computational techniques to summarize these movement patterns.
Obesity affects over one-third of the US population, and is associated with serious medical problems like diabetes and heart disease. Weight loss surgery is the most effective treatment for obesity, but some weight loss surgery patients lose less weight than others, and some patients regain the weight they lost. Researchers have found that support groups help post-surgical patients lose more weight, but long-term support programs often aren't available or are difficult for patients to get to. Physical activity is also important for weight loss surgery patients, but most post-surgical support programs don't focus on helping patients exercise. Our pilot study will test an Internet-based weight loss surgery support program that patients can use from home, and will include new devices such as wireless weight scales and wireless pedometers to help patients track their weight loss and physical activity and share their progress with their clinicians over the Internet. If successful, our support intervention will help more patients successfully lose weight after surgery, and therefore will improve their long-term health.
Although some authors have observed favorable effects of group physical activity programs, others have reported that the individualized prescription of exercises may be jeopardized by programs that do not allow sufficient consideration of individual characteristics. Therefore, we aim to verify the effects of an elderly-specific multimodal physical activity program on physical parameters after one year of intervention.
The primary aim of this research is to examine physical activity in a healthy population aged over 40 years old. Subsidiary aims of this research are: 1. To establish normative values for physical activity levels, exercise capacity, quality of life and readiness to change physical activity behaviour (stages of change, self-efficacy, decisional balance and processes of change) in a healthy population age-matched to a population with bronchiectasis. 2. To explore physical activity levels, exercise capacity and quality of life in a healthy population age-matched to a population with bronchiectasis. 3. To explore readiness to change physical activity behaviour (stages of change, self-efficacy, processes of change and decisional balance) in a healthy population compared to a population with bronchiectasis.