Examining adherence to activity monitoring devices to improve physical activity in adults with cardiovascular disease: A systematic review

Background Activity monitoring devices are currently being used to facilitate and monitor physical activity. No prior review has examined adherence to the use of activity monitoring devices amongst adults with cardiovascular disease. Methods Literature from June 2012 to October 2017 was evaluated to examine the extent of adherence to any activity monitoring device used to collect objective physical activity data. Randomized control trials comparing usual care against the use of an activity monitoring device, in a community intervention for adults from any cardiovascular diagnostic group, were included. A systematic search of databases and clinical trials registers was conducted using Joanna Briggs Institute methodology. Results Of 10 eligible studies, two studies reported pedometer use and eight accelerometer use. Six studies addressed the primary outcome. Mean adherence was 59.1% (range 39.6% to 85.7%) at last follow-up. Studies lacked equal representation by gender (28.6% female) and age (range 42 to 82 years). Conclusion This review indicates that current research on activity monitoring devices may be overstated due to the variability in adherence. Results showed that physical activity tracking in women and in young adults have been understudied

Applying machine learning to predict future adherence to physical activity programs.

BackgroundIdentifying individuals who are unlikely to adhere to a physical exercise regime has potential to improve physical activity interventions. The aim of this paper is to develop and test adherence prediction models using objectively measured physical activity data in the Mobile Phone-Based Physical Activity Education program (mPED) trial. To the best of our knowledge, this is the first to apply Machine Learning methods to predict exercise relapse using accelerometer-recorded physical activity data.MethodsWe use logistic regression and support vector machine methods to design two versions of a Discontinuation Prediction Score (DiPS), which uses objectively measured past data (e.g., steps and goal achievement) to provide a numerical quantity indicating the likelihood of exercise relapse in the upcoming week. The respective prediction accuracy of these two versions of DiPS are compared, and then numerical simulation is performed to explore the potential of using DiPS to selectively allocate financial incentives to participants to encourage them to increase physical activity.Resultswe had access to a physical activity trial data that were continuously collected every 60 sec every day for 9 months in 210 participants. By using the first 15 weeks of data as training and test on weeks 16-30, we show that both versions of DiPS have a test AUC of 0.9 with high sensitivity and specificity in predicting the probability of exercise adherence. Simulation results assuming different intervention regimes suggest the potential benefit of using DiPS as a score to allocate resources in physical activity intervention programs in reducing costs over other allocation schemes.ConclusionsDiPS is capable of making accurate and robust predictions for future weeks. The most predictive features are steps and physical activity intensity. Furthermore, the use of DiPS scores can be a promising approach to determine when or if to provide just-in-time messages and step goal adjustments to improve compliance. Further studies on the use of DiPS in the design of physical activity promotion programs are warranted.Trial registrationClinicalTrials.gov NCT01280812 Registered on January 21, 2011

Be He@lthy - Be Mobile (A handbook on how to implement mAgeing)

The Be He@lthy, Be Mobile initiative is a global partnership led by the World Health Organization (WHO) and the International Telecommunication Union (ITU), representing the United Nations agencies for health and information and communications technologies (ICTs). The initiative supports the scale up of mobile health technology (mHealth) within national health systems to help combat noncommunicable diseases (NCDs) and support healthy ageing. Mobile health, or mHealth, is defined as "medical and public health practice supported by mobile devices, such as mobile phones, patient monitoring devices, personal digital assistants, and other wireless devices” (1). The Be Healthy, Be Mobile initiative uses basic technologies common in most mobile phones. The BHBM initiative has overseen the development and implementation of several mHealth programmes, including mTobaccoCessation (2), mDiabetes, and mCervicalCancer. The mHealth programme-specific handbooks act as aids to policy-makers and implementers of national or large-scale mHealth programs. See Annex 1 for further information on the Be He@lthy, Be Mobile initiative. mHealth for Ageing, or mAgeing is a new programme under the initiative, the central objective of which is to assist older persons (a person whose age has passed the median life expectancy at birth) in maintaining functional ability and living as independently and healthily as possible through evidence-based self-management and self-care interventions. This handbook provides guidance for national programmes and organizations responsible for the care of older persons to develop, implement, monitor, and evaluate an mAgeing programme. The text messaging communication provided uses evidence-based behaviour change techniques to help older persons prevent and manage early declines in intrinsic capacity and functional ability. The mAgeing programme is based on WHO’s Integrated Care for Older People (ICOPE): Guidelines on community-level interventions to manage declines in intrinsic capacity (3) which include interventions to prevent declines in intrinsic capacity and functional abilities in older people, namely: mobility loss, malnutrition, visual impairment and hearing loss; as well as cognitive impairments and depressive symptoms. The messages are designed to encourage participation in activities, and to prevent, reduce, or even partly reverse, significant losses in capacity. The content of the mAgeing programme will complement routine care offered by health care professionals by supporting self-care and self-management. All content in this handbook is based on the WHO ICOPE Guidelines and other relevant WHO recommendations. The ICOPE Guideline recommendations were reached by the consensus of a guideline development group, convened by WHO, which based its decisions on a summary of systematic reviews of the best quality evidence most relevant to community-level care for older people, as well as the most up-to-date research on the effectiveness of mHealth

The NESTORE e-Coach: Designing a Multi-Domain Pathway to Well-Being in Older Age

This article describes the coaching strategies of the NESTORE e-coach, a virtual coach for promoting healthier lifestyles in older age. The novelty of the NESTORE project is the definition of a multi-domain personalized pathway where the e-coach accompanies the user throughout different structured and non-structured coaching activities and recommendations. The article also presents the design process of the coaching strategies, carried out including older adults from four European countries and experts from the different health domains, and the results of the tests carried out with 60 older adults in Italy, Spain and The Netherlands

Associations Between Heart Rate Variability and Metabolic Syndrome Risk Factors

Metabolic syndrome (MetS) is a clustering of risk factors for cardiovascular disease (CVD) and type 2 diabetes (T2D) – two major causes of morbidity and mortality worldwide. Heart rate variability (HRV) is a non-invasive measure of cardiac autonomic regulation that predicts mortality and morbidity. Additionally, HRV is reduced in CVD, T2D and MetS. As such, HRV has potential to be a novel cardiometabolic risk factor to be included in clinical risk assessment. Therefore, the purpose of this thesis was to examine the relationships between MetS and HRV. A systematic review of cross-sectional studies examining relationships between HRV and MetS was completed to consolidate existing evidence and to guide future studies. This was followed by a cross-sectional investigation of time and frequency domain and nonlinear HRV in a population with MetS risk factors to determine which MetS risk factors were associated with HRV parameters. A pilot study was then conducted to study the feasibility of conducting a mobile health (mHealth) and exercise intervention in a rural population, which was followed by a 24-week randomized clinical trial to examine the effects of the interactive mHealth exercise intervention compared to standard of care exercise in participants with MetS risk factors. Overall, HRV was reduced in women with MetS compared to those without, though there were no differences in men. Waist circumference and lipid profiles were most commonly related to HRV parameters when studied cross-sectionally. The changes in waist circumference and fasting plasma glucose were associated with the change in HRV parameters when studied longitudinally. Following the intervention period, waist circumference and blood pressure were improved with no other changes in MetS risk factors. HRV parameters indicative of vagal activity were reduced over the intervention period, but there were no changes in other HRV parameters. There were no differences in changes between the intervention and control groups. In conclusion, MetS and HRV are associated in women but not men. However, there were no clear associations between MetS and HRV to suggest that HRV would be a valuable clinical risk factor

Waiting Room Health Promotion for Older Adults in Rural Primary Care

Background: Advances in health care technology have lead to adults living longer than in previous decades. Longer life expectancy in combination with the aging of the Baby Boomer generation is predicted to result in rapid and exponential growth among the older adult population. Adults in the U.S. over the age of 65 have on average five or more chronic illnesses, many of which are often poorly managed. Older adults who experience chronic diseases often report decreased quality of life, limitations in functional ability, loss of independence, and periods of decline and increasing disability. Health promotion efforts can help in delaying the onset of disability and preventing rapid decline associated with many chronic conditions. Purpose: The purpose of this project was to assess the effectiveness of the implementation of a brief waiting room health promotion activity that informs older adults about the benefits of walking, such as reducing the risk of chronic disease, improving mood, and maintaining weight, physical and cognitive function. This project took place at a federally qualified health center in Plainfield, Vermont. Methods: The target population for this educational intervention included patients, as well as family members and visitors to the primary care practice who were age 55 and older. All age-eligible participants were encouraged to participate regardless of health status or the presence of comorbid health conditions. The activity comprised of participants viewing a brief audiovisual educational activity explaining the health benefits of walking, supplemented with paper materials to support the health messages; the intervention was then followed by completion of a brief paper survey evaluation. Results: During the two-month period the health promotion activity was available, 56 individuals participated and completed the survey. Of the 56 participants, 87% indicated they either “strongly agreed” or “agreed” that watching the video increased knowledge about health-related benefits of walking. In total, approximately 73% of participants who participated in this health promotion activity agreed that they paid attention to educational materials in the waiting room setting. Approximately 57% of participants shared a health related goal that they created as a result of the health promotion activity. Conclusion: This project has suggested that implementation of waiting room health promotion activities, specifically for older adults, is a simple and cost-effective way to promote good health practices and provide patients with in-depth health care information that may not be addressed during the health care visit. Activities in the waiting room can help to supplement information provided during the clinical encounter, leaving patients more satisfied with their visits, and promoting positive behavior change