View clinical trials related to Lifestyle.
Filter by: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 goal of the study is to build a Register accruing data derived from the compilation of the questionnaire about LifeStyle for a population both of adults and of young boys and girls. The investigators are confident that in this way they will be able to expand the database they already have. The investigators will be able to increase the strength of the correlations between LS indices and health indicators. In particular, the investigators will emphasize the relationship between physical activity, stress, and diet quality on one hand, and on the other, they will focus on physiological parameters, like arterial pressure, gluco-lipid profile, and possible pathologies.
The incidence and prevalence of metabolic risk factors such as obesity, hypertension, diabetes, and dyslipidemia, as well as cardiovascular diseases (CVD), are continuously rising among the occupational population in China, primarily comprising the middle-aged and young adults. Unhealthy lifestyles and declining physical fitness are independent risk factors affecting cardiovascular health. Additionally, the level of physical fitness is influenced by postnatal lifestyles. Lifestyle factors related to cardiovascular health in the occupational population encompass various aspects, including smoking, physical activity, diet, sleep, psychological stress, etc. These factors may interact or have a synergistic effect, necessitating a comprehensive assessment. This project proposes a prospective cohort study design to establish a monitoring cohort for lifestyle and physical fitness among the occupational population. The study will track and follow individuals with or without any CVD metabolic risk factors, collecting information on general status, lifestyle, physical fitness, and health examination data. Exposure factors such as lifestyle and physical fitness will be measured annually, and the occurrence of CVD-related health outcomes will be observed. The aim is to develop a comprehensive evaluation index for cardiovascular health lifestyle, analyze the direct and indirect impacts of lifestyle and physical fitness on the occurrence and development of CVD, and explore potential mediating and moderating effects of physical fitness in the association between lifestyle and cardiovascular health.
A study conducted to evaluate the female surgeons in Jordan from different lifestyle
Type 2 Diabetes Mellitus (T2DM) is the most common chronic lifestyle-related disorder with a significant impact on quality and healthcare expenditures. Insufficient glycemic control and low fitness level prior to a surgical intervention results in more postoperative complications which leads to a longer hospitalization, higher costs and mortality. A prehabilitation intervention in persons with T2DM prior to surgery should be aimed to improve glucose regulation and translate into better outcomes. However, the classic interventions such as Combined Lifestyle Intervention are labor-intensive and require a high degree of organization and therefore are not used as standard care. The use of biofeedback can provide a solution to this. Biofeedback with a continuous glucose sensor in combination with lifestyle monitoring by activity trackers and coaching prior to surgery is a promising but unexplored prehabilitation strategy. The Nursing Prehabilitation Intervention Supported with Technology for vascular Surgery in People with Type 2 Diabetes (VITAAAL) intervention is a form of blended care. It focuses on improving vitality and glycemic control before surgery with the Diameter application, using intermittently scanned glucose monitoring, nutrition habits and physical activity blended with coaching from a nurse practitioner (NP) diabetes. Because VITAAAL is a novel intervention, the aim of this pilot study is to investigate its usability and feasibility. The pilot study consists of three phases. After the first phase, a specific prehabilitation module will be designed and programmed in the Diameter app. This module will be based on the results and experiences in phase one. In phase two and three the patients will use the adjusted version of the Diameter app that contains implemented findings of the previous phase.
Use of information and communication technology -based health behavior change support system in modifying lifestyle after delivery among women with obesity.
In the framework of PhD research, we will present a visualization of estimation of CVDs risk and the possibility of monitoring blood glucose levels in real-time. Based on the results, we will assess the association of these with lifestyle change. The findings highlight the need for sufficiently reliable and high-quality evaluations of visualizations, technologies or applications used in the family medicine.
This non-randomized pilot study program is focused on assessing the technical characteristics of the Aspire2B mobile device application.
Prehabilitation and rehabilitation through personalized lifestyle counseling in patients with breast cancer.
This study aimed to link lifestyle factors (Mediterranean diet adherence, stress, sleep quality, physical activity) to caries and apical periodontitis in 149 university-based individuals. Data included clinical and radiographic assessments and lifestyle questionnaires. Statistical tests and logistic regression were employed to analyze the relationships between these factors and oral health conditions.