View clinical trials related to Risk Reduction.
Filter by:The purpose of this study is to evaluate the impact of community health screening, health education and nutritional intervention on risk factors for cardiovascular disease in a predominantly African American population. The health fair and intervention will take place in a church that typically improves their lifestyle by "giving up for Lent" certain foods or habits. Participation in this nutrition intervention is voluntary and each participant will sign an informed consent along with a waiver. On the waiver, the participant can agree to have all testing performed but can withdraw consent at any time or decide to have only some of the testing. It was hypothesized that a community-based health screening and nutritional intervention will have a positive impact on the participants by: 1. Measuring baseline risk factors 2. Educating them about their individual risk for heart disease 3. Providing education on healthy lifestyle 4. Providing a nutritional intervention for 40 days with home- delivered plant-based meals nutrition that has been shown to lower cardiac risk factors 5. Repeating the risk factor assessment at the end of the intervention, to demonstrate the degree of, if any, reduction in cardiac risk as assessed by the American College of Cardiology/American Heart Association (ACC/AHA) Atherosclerotic Cardiovascular Disease (ASCVD) Risk Calculator 6. Motivating at-risk subjects to seek continued appropriate medical care and to institute more permanent relevant lifestyle changes (e.g., diet, exercise, medication compliance).
The study team previously demonstrated that patients are more likely to receive flu vaccine after learning that they are at high risk for flu complications. Building on this past work, the present study will explore whether providing reasons that patients are considered high risk for flu complications (a) further increases the likelihood they will receive flu vaccine and (b) decreases the likelihood that they receive diagnoses of flu and/or flu-like symptoms in the ensuing flu season. It will also examine whether informing patients that their high-risk status was determined by analyzing their medical records or by an artificial intelligence (AI) / machine-learning (ML) algorithm analyzing their medical records will affect the likelihood of receiving the flu vaccine or diagnoses of flu and/or flu-like symptoms.
This novel study supports the positive benefits of Home Based Older Persons Upstreaming Physical Therapy (HOP-UP-PT) to older adults identified as "at-risk" by their local senior center after participating in a prevention-focused multimodal program provided by physical therapists in their home.
The primary aim of this study is to examine whether lower-risk activities displace participation in higher-risk behaviors during COVID-19. Investigators will test this aim by promoting specific activities that are expected to be low-risk when it comes to COVID-19 transmission (e.g., participating in a hiking challenge) and assessing impacts on participants' activity choices. Investigators also aim to describe adults' activity participation during COVID-19 generally and to examine secondary outcomes, including reported stress and sleep.
This study was planned to investigate the relationship between the risk of injury and posture in wrestlers. The study will be included male wrestlers. The spine posture and flexibility of the athletes will be measured during standing position with the Idiag M360® brand Spinal Mouse (SM), while the overall body posture will be measured from the anterior and lateral sides using the New York Posture Analysis Method (NYPAM). Injury risks of the athletes will be evaluated by Functional Movement Screen (FMS) which was consisting of seven basic movement patterns.
The purpose of this study is to provide medication for opioid use disorder (MOUD) with buprenorphine and naloxone, or bup/nx, and pre-exposure prophylaxis (PrEP) for HIV prevention for persons who inject opioids accessing syringe services programs (SSPs), as part of a comprehensive harm reduction program, and assess the acceptability and feasibility of using telemedicine to implement the program. The initial visit will be conducted in person or remotely via telemedicine given COVID-19 protocols at the SSP sites in Charlotte and Wilmington, North Carolina (NC); follow-up visits will be conducted via telemedicine.
The purpose of this study is to gain on-going COVID-19 feedback/data to drive timely action locally and nationally in order to mitigate transmission. Data will be deidentified and consolidated to create a large national longitudinal database.
Pregnant women - living in thecatchment area of a public dental clinic with known higher caries experience and generally lower socioeconomical status than at other dental clinics in the Region - are recruited for the study. Repeated information and surveys of dental knowledge, dental habits and medical conditions etc. is sample. Before birth, one month after birth, and 12 and 18 months after birth of the Child, the mother repeatedly answers questionnaires and recieves information about dental care. At 18 months,and at the 3- and 6-year dental examinations the caries experience dmft/deft is registered. All Children and accompanying parent receives an individual caries preventive program between the examinations. Evaluation will be focused on possible caries sreduction and Health econimic aspects of the interventions.
The purpose of the current study is to test different interventions to determine the most effective way to promote flu vaccine uptake in a high-risk population identified by an "artificial intelligence" (AI) or machine learning (ML) algorithm. The specific aims are: 1. Evaluate the effect on flu vaccination rates of informing health-system patients who are identified by an ML analysis of EHR data to be at high risk for flu complications that they are at high risk with either (a) no additional explanation, (b) an explanation that this determination comes from an analysis of their medical records, and (c) the additional explanation that an AI or ML algorithm made this determination. 2. Evaluate the effects of the same three interventions on diagnoses of flu in the same patients.
The purpose of this study is to examine (1) how the causal structure of a disease influences people's disease prevention decisions; and (2) how the causal structure of a disease interacts with people's regret anticipation in determining their disease prevention decisions.