View clinical trials related to Sedentary Time.
Filter by:Although empirical research suggests that physical activity interventions benefit cognition and sleep in older adults in general, the possible benefit of physical activity is understudied in low-income older adults. The study aims to test the immediate and sustaining efficacy of an mHealth-facilitated Physical Activity Toward Health (mPATH) intervention on cognitive function and sleep in low-income older adults.
Electronic sports (Esports) has become a branch that started to gain popularity in the gaming community in the early 2000s and that more and more individuals are interested in. Esports players are often called sedentary athletes because gaming requires prolonged sedentary activity. The aim of this study is to adapt the Occupational Sitting and Physical Activity Questionnaire to individuals playing Esports and to validate it in Turkish.
The study will provide important information regarding the biometric changes that occur in behavioral treatments for chronic pain and explore the additional impact of integrated movement and supervised exercise. The goal of this clinical trial is to determine if pain rehabilitation programs have impacts on physical function in patient reported outcomes and objective measures of physical activity or sedentary time with a wearable Fitbit. Additionally, we will examine the associations between movement, pain acceptance, and related health factors, such as pain severity, sleep, functional status, depression, and anxiety. The addition of biometric data will allow for further investigation of the association between objective measures and patient self-report measures.
Background: This study aims to determine the effects of communicating genetic risk for Coronary Heart Disease (CHD) alone or in combination with goal setting and prompts from a wearable device on objectively measured sedentary time (ST) in East Asians. It is hypothesized that this combination will lead to significant favorable changes in objectively ST, and that such changes will be more likely to be sustained over 6-month follow-up. Methods: In a parallel group, randomized controlled trial, a total 414 individuals of East Asians aged over 60years will be allocated into one of three groups: 1 control and 2 intervention groups. Blood samples will be used for estimation of CHD genetic and analysis of metabolic risk markers. Genetic risk for CHD will be estimated based on recently identified 79 SNPs (associated with CHD for East Asians) using an established methodology. Questionnaires and physical measurement will be administered at Before and after the 12-month intervention and at 6-month follow-up. Each group will receive a Fitbit device. Both intervention groups will be given CHD genetic risk estimates along with lifestyle advice but one of them will additionally use Fitbit's step-goal setting and prompt functions. The primary outcome is objectively measured sedentary time. Secondary outcomes include objectively measured MVPA, calories burned, and five intermediate metabolic risk markers (total cholesterol/HDL-C/LDL-C/triglycerides).