China
Africa
Explore chapters and articles related to this topic
Structured Exercise, Lifestyle Physical Activity, and Cardiorespiratory Fitness in the Prevention and Treatment of Chronic Diseases
Published in Gia Merlo, Kathy Berra, Lifestyle Nursing, 2023
Barry A. Franklin, Thomas F. O’Connell
Digital tools such as social media, mobile games on smart phones and tablets, varied apps that promote PA, and activity trackers may assist in reducing barriers to structured exercise by helping patients with planning, increasing access to health-fitness programs, and providing daily goal reminders (Chaddha et al., 2017). Self-monitoring techniques, devices (e.g. pedometers, accelerometers, personalized activity intelligence (Nes et al., 2017), heart rate monitors), or apps can be helpful in this regard. Counseling and reinforcement can be handled over the phone, in Zoom chats, or via the Internet. Active-play video gaming can also be used to promote healthy weight and regular PA in children and adolescents, middle-aged and older adults, and patients with chronic disease (Lieberman et al., 2011). One report, in healthy adults, noted that the aerobic requirements for Wii Sports and Wii Fit Plus game activities approximated 1.3 to 5.6 METs, which correspond to the energy expenditure associated with very slow (<1 mph) to extremely fast walking (~4.0 mph) (Miyachi et al., 2010). Others have suggested that using active-play video gaming, which can be readily accessible, highly competitive, and reinforcing (i.e., winning against an opponent), may serve as a gateway to structured exercise regimens. In aggregate, these data suggest that using technology, a contributor to the physical inactivity epidemic, can also be part of the solution (Chaddha et al., 2017).
Personal Health Engagement
Published in Salvatore Volpe, Health Informatics, 2022
Stanford researchers recently studied smartphone interventions for the impact on step counts as part of the MyHeart Counts Cardiovascular Health Study. Four different smartphone interventions were tested. The study demonstrated that all four interventions had a significant impact on users’ daily activity levels – at least in the short term.119 Other studies reinforce the concept that activity trackers can help people increase physical activity and sustain exercise programs.120 There’s also evidence that users with diabetes and hypertension who used activity trackers were more likely to also be adherent to their medication regimen, although the reasons for the correlation were not entirely clear.121 Users of diet and exercise apps also report that the apps supported changes in behavior necessary for achieving their goals.122
Digital Health Technology for Behavior Change
Published in James M. Rippe, Lifestyle Medicine, 2019
Jeffrey Krauss, Patricia Zheng, Courtenay Stewart, Mark Berman
Physical Activity: Physical activity trackers are the mostly commonly worn devices, and may be the most well studied. These devices are capable of measuring steps and heart rate, and built-in accelerometers allow for objective quantification of physical activity.101 Smartphone applications today are accurate to within 6.7% of observed step counts.75 Wearable wrist-worn devices can now offer heart rate and energy expenditure measurements, also, though the accuracy of these devices can be improved, with measurement errors of some devices currently above 20%.102
Sleep Health in Male-dominated Workplaces: A Qualitative Study Examining the Perspectives of Male Employees
Published in Behavioral Sleep Medicine, 2022
Allison L. Soprovich, Joan L. Bottorff, Lisa A. Wozniak, John L. Oliffe, Cherisse L. Seaton, Mitch J. Duncan, Cristina M. Caperchione, Elizabeth R. Ellehoj, Steven T. Johnson
Several of the potential intervention strategies that men reported were consistent with recommended approaches to workplace wellness programs more broadly (i.e., multilevel, stakeholder and management support), and behavior change techniques (e.g., expert advice, modeling, self-monitoring) (Burton, 2010; Michie et al., 2014). Using activity trackers for self-monitoring sleep behavior is consistent with the behavior change techniques commonly included in and preferred by users of activity trackers (DeSmet et al., 2019). However, the measurement properties of activity trackers vary according to device and the outcome measured (i.e., sleep duration, latency, timing) (Evenson et al., 2015; Kahawage et al., 2020) and this is important to consider if implemented in interventions. And as noted elsewhere negative thoughts and worries about sleep can adversely affect sleep which may be exacerbated by using activity trackers to promote sleep without carefully considering how this is achieved (Duncan et al., 2017). Provision of expert advice or experienced coworkers on tips to improve sleep is consistent with established behavior strategies (i.e., social support, shaping knowledge) and also preferred strategies as part of using activity trackers to improve sleep (DeSmet et al., 2019).
“I’m not going to walk, just for the sake of walking…”: a qualitative, phenomenological study on physical activity during hospital stay
Published in Disability and Rehabilitation, 2020
Niek Koenders, Roel van Oorsouw, Joost P. H. Seeger, Maria W. G. Nijhuis – van der Sanden, Irene van de Glind, Thomas J. Hoogeboom
In order to increase physical activity of patients during hospital stay, future research should concentrate on a personalised approach and finding balance between physical activity and rest for each patient. Furthermore, current research on inpatient physical activity exclusively focuses on basic mobility [3,5,6]. Our findings indicate that inpatient physical activity research should also provide information on time spent washing, showering, moving to the toilet, dressing, ambulating with walking aids, and exercising to provide an accurate estimate of inpatient physical activity. Therefore, activity trackers should be able to accurately and continuously measure all types of physical activity. In addition, measuring feelings of autonomy, freedom, resistance, uncertainty, and discomfort could be valuable when investigating effects of care programmes to increase inpatient physical activity.
Self-monitoring of intraocular pressure in glaucoma
Published in Expert Review of Ophthalmology, 2019
Recent years have seen rapid growth in the use of wearable technology and sensors to monitor physiological parameters such as heart rate, sleep patterns, and activity, with devices like smart watches and activity trackers marketed as tools to improve health and motivate healthy behavior. Even though there is limited evidence that wearable fitness trackers improve health, new devices regularly appear on the market and there seems to be great demand among consumers[1]. Although the use of sensors to self-monitor health is a relatively recent development in consumer electronics, self-monitoring has had an important role in the management of the chronic disease for decades, with self-monitoring of blood glucose introduced for patients with diabetes in the early 1980s[2]. Self-monitoring is also used to aid assessment of systemic hypertension and, with an increasing number of medical devices, there is growing use of self-monitoring in other chronic conditions, including in eye disease.