Search results for "fitness tracker"

Quantification of physical activity in adult patients with haemophilic arthropathy in prophylaxis treatment using a fitness tracker

2017

Physical Activity Monitoring and Acceptance of a Commercial Activity Tracker in Adult Patients with Haemophilia.

2019

Physical activity (PA) is highly beneficial for people with haemophilia (PWH), however, studies that objectively monitor the PA in this population are scarce. This study aimed to monitor the daily PA and analyse its evolution over time in a cohort of PWH using a commercial activity tracker. In addition, this work analyses the relationship between PA levels, demographics, and joint health status, as well as the acceptance and adherence to the activity tracker. Twenty-six PWH were asked to wear a Fitbit Charge HR for 13 weeks. According to the steps/day in the first week, data were divided into two groups: Active Group (AG

Objectively measured physical activity and physical performance in old age

2017

Abstract Background: Physical performance is a key factor that determines how older people cope with daily tasks and maintain independency. There is strong evidence suggesting that physical activity (PA) is important in maintaining physical performance in old age. However, most studies have been done using self-reported PA. Our aim was to explore the association between objectively measured PA and physical performance in old age. Methods: We studied 695 participants (mean age 70.7 years, SD 2.7) from the Helsinki Birth Cohort Study. Physical performance was assessed with the Senior Fitness Test (SFT) and PA with a multisensory activity monitor SenseWear Pro 3 Armband. Results: Total volume …

Profiling movement behaviours in pre-school children: A self-organised map approach.

2019

Application of machine learning techniques has the potential to yield unseen insights into movement and permits visualisation of complex behaviours and tangible profiles. The aim of this study was to identify profiles of relative motor competence (MC) and movement behaviours in pre-school children using novel analytics. One-hundred and twenty-five children (4.3 ± 0.5y, 1.04 ± 0.05 m, 17.8 ± 3.2 kg, BMI: 16.2 ± 1.9 kg

Tracking and Changes in Daily Step Counts among Finnish Adults

2021

Purpose This study aimed to investigate the tracking and changes of steps per day in adults and their determinants over 13 yr. Methods A total of 2195 subjects (1236 women) 30-45 yr of age were randomly recruited from the ongoing Cardiovascular Risk in Young Finns Study in 2007 and were followed up in 2020. Steps per day, including both total and aerobic steps per day, were monitored for seven consecutive days with a pedometer in 2007-2008 and 2011-2012 and with an accelerometer in 2018-2020. Tracking was analyzed using Spearman's correlation. Stability and changes of steps per day over time in both low-active and high-active groups (based on median values) were described by percentage agre…

Polygenic Risk Scores and Physical Activity

2020

Supplemental digital content is available in the text.

Can Brief, Daily Training Using a Mobile App Help Change Maladaptive Beliefs? Crossover Randomized Controlled Trial

2019

BackgroundObsessive-compulsive disorder (OCD) is a disabling condition with a wide variety of clinical presentations including contamination fears, fear of harm, and relationship-related obsessions. Cognitive behavioral models of OCD suggest that OC symptoms result from catastrophic misinterpretations of commonly occurring intrusive experiences and associated dysfunctional strategies used to manage them. OCD-related maladaptive beliefs including inflated responsibility, importance and control of thoughts, perfectionism, and intolerance for uncertainty increase the likelihood of such misinterpretations. ObjectiveConsidering accumulating evidence suggesting that mobile health (mHealth) apps b…

Count- versus MAD-based accelerometry-assessed movement behaviors and associations with child adiposity and fitness

2021

usc Estimations of time spent sedentary and in various physical activity intensities may vary according to data reduction methods applied. This study compared associations between children's accelerometer data and adiposity and fitness markers using open source (mean amplitude deviation, MAD) and proprietary (counts) data reduction methods. Complete-case accelerometer, adiposity (Body Mass Index z-score, waist circumference), and fitness (cardiorespiratory, musculoskeletal) data from 118 children (10.4 ± 0.6 years, 49% girls) were analyzed. Estimates of sedentary behavior, light-, moderate-, vigorous- (VPA), and moderate- to vigorous-intensity (MVPA) physical activity were calculated using …

The Quantified Athlete: Associations of Wearables for High School Athletes

2018

The adoption of wearable technology in competitive sports can be an advantage to performance and training. Athletes who use personalised data to quantify their performances with the possibilities of sharing with others may use wearables to reinforce the athletic identity. Despite these changes, few studies have actually examined the associations between wearables and developing athletes in their quest for professional sports. Student athletes (n = 437, age = 17y) still in high schools completed a web-based survey about their professional aspirations, athletic identity, and the association with wearables. Wearables were measured by ownership and usage of apps, fitness trackers, or sports wat…

Development of accelerometer-based light to vigorous physical activity in fitness profiles of school-aged children.

2021

This study examined the developmental trajectories of light (LPA) and moderate-to-vigorous physical activity (MVPA) in fitness profiles derived from motor competence, perceived motor competence, health-related fitness, and MVPA behaviour. Locomotor, stability, and object-control skills, muscular and cardiovascular fitness, and physical activity were assessed in 510 (girls 285, boys 225) Finnish school-aged children (Mage = 11.26 ± .33 years) over three years. Physical activity was measured using hip-mounted accelerometers. Fitness profiles were identified using latent profile analysis and the development of physical activity levels across four assessments was analysed with latent growth cur…