View clinical trials related to Physical Activity.
Filter by:In an effort to address the physical inactivity crisis among adolescents, the present study will examine the efficacy of using an already established Web-based social networking platform (i.e., Facebook) to deliver a physical activity intervention to adolescents.
The purpose of the study is to identify lifestyle factors associated with PCOS and understand how diet and activity levels impact features of PCOS. The secondary aim is to examine psychosocial factors (e.g., health beliefs) of women with PCOS.
The aim of this study is to test a methodology of counseling on physical activity among Community Health Workers working within primary health care in Brazil.
This study aims to assess the uptake, effectiveness, and cost-effectiveness of a scalable walking programme for full-time employees both with and without incentives.
To verify changes in physical activity levels, metabolic markers, and physical fitness as results of two physical activity interventions within the Brazilian public health system (primary health care).
While most of the research on integrated approaches of occupational health and safety and worksite health promotion to date has focused on manufacturing settings, employment is shifting to the service sector. Within this sector, health care employs over 12 million workers, and is the second fastest growing industry in the U.S. economy. In contrast to workers in other industries, rates of occupational injuries and illnesses among health care workers have increased over the past decade. The purpose of this study is to lay the foundation for integrated interventions in health care through examination of the associations of worker health outcomes and risks on and off the job with work policies and practices and to address the prevalent issues of musculoskeletal disorders (MSDs), particularly low back pain disability (LBPD), and health promotions through physical activity among patient care workers. The specific aims of this study are: 1. To estimate the efficacy and determine the feasibility of an integrated intervention, addressing both health protection and health promotion in order to reduce MSD symptoms and improve health behaviors among healthcare workers. We will assess between-group differences in MSD symptoms, health behaviors, including physical activity, and a set of secondary outcomes, including unplanned absence, reported injuries, worker compensation claims and costs, turnover and retention, intention to leave the job, and work-role function. This study will explore the working hypothesis that: Workers employed at baseline in patient-care units receiving the intervention will report greater reductions in their MSD symptoms (primary outcome) and greater improvements in health behaviors, compared with workers employed at baseline in units assigned to the Usual Care control group. 2. To determine the factors in the work environment which contribute over time to reductions in MSD symptoms and improvements in safe and healthy behaviors. (1) The work environment, work organization, and psychosocial factors, measured in our current study, will be associated with changes in workers' health behaviors and health outcomes between the assessments in the current and proposed studies; (2) Improvements in the work environment over time will be associated with improvements in workers' health behaviors and health outcomes. We will conduct multilevel modeling analysis to evaluate the simultaneous effects of worker-level and unit-level factors on MSD symptoms and safety and health behaviors.
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.
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.