Chronic Patients’ Emotions toward Self-managing Care IT

Patients’ emotions toward health IT can play an important role in explaining their usage of it. One form of health IT is self-managing care IT, such as activity trackers that can be used by chronic patients to adopt a healthy lifestyle. The goal of this study is to understand the factors that influence the arousal of emotions in chronic patients while using these tools. Past studies, in general, tend to emphasize how IT shapes emotions, underplaying the role of the individual user’s identity and, specifically, how central health is to the user’s self in shaping emotions. In this research, the authors argue that patients’ health identity centrality (i.e., the extent to which they consider health as central to their sense of self) can play an important role in forming their dependence on health IT by affecting their use of it directly and shaping their emotions around it.

The Effects of Heart Rate Monitoring on Ratings of Perceived Exertion and Attention Allocation in Individuals of Varying Fitness Levels

There has been a rapid increase in the use of wearable technology-based physical activity trackers. Most of these physical activity trackers include tracking and displaying the individual's heart rate (HR). There is little known about how HR monitoring influences the perception of exertion and attention allocation. Shifting attentional focus toward the body (association), such as monitoring HR, instead of environmental stimuli (dissociation) may increase one's perceived level of exertion. The purpose of the study was to examine the effects of HR monitoring on ratings of perceived exertion (RPE) and attention allocation during an exertive stepping task in individuals of varying fitness levels. The YMCA stepping task normative values determined fitness levels. For the experimental condition, participants were randomly assigned to one of two conditions (i.e., HR monitoring or control) and completed a stepping task with a weighted vest at 20% of their bodyweight. HR, RPE, and attention allocation were collected at 30-s intervals. Performing the stepping task resulted in a gradual increase of HR and RPE along with a shift from dissociative to associative attention across all conditions. Monitoring one's HR during the task resulted in more dissociative attention allocation, however, no RPE differences were reported between the two conditions. Unfit individuals reported lower levels of RPE during the first time point compared to fit individuals despite having higher HR throughout the task. The results of this study have relevance for applied practitioners implementing physical activity interventions with individuals who monitor their HR.

What Factors Predict the Adoption of Type 2 Diabetes Patients to Wearable Activity Trackers—Application of Diffusion of Innovation Theory

Background: Globally, diabetes has brought an enormous burden to public health resources, and the situation of disease burden caused by diabetes in China is especially severe. China is currently facing the dual threat of aging and diabetes, and wearable activity trackers could promote elderly diabetic patients' physical activity levels and help them to manage blood glucose control. Therefore, examining the influencing factors of elderly patients' adoption intention is critical as wearing adoption determines actual wearing behaviors.Objective: This study aims to explore the predicting factors of Chinese elderly type 2 diabetic patients' adoption intention to wearable activity trackers and their actual wearing behavior, using diffusion of innovation theory as the theoretical framework. We hope to provide insights into future interventions using wearable activity trackers as tools to improve the outcome of patients.Methods: Wearable activity trackers were freely distributed to type 2 diabetic patients in Beijing, China. A questionnaire survey was conducted to examine predicting factors of adoption intention after a week's try-on. Actual wearing behavior for 3-month was obtained from the exclusive cloud. Data were analyzed with structural equation modeling.Results: A total of 725 patients completed the questionnaire. Patients had a mean age of 60.3 ± 7.6 years old and the educational level was generally lower. The results indicated that observability was the primary influencing factor of patients' adoption intention (β = 0.775, P < 0.001). Relative advantage (β = 0.182, P = 0.014) and perceived social image (β = 0.080, P = 0.039) also had a positive influence while perceived risk (β = −0.148, P < 0.001) exerted a negative influence. In addition, results showed that the more intention led to the better actual wearing behavior (β = 0.127, P = 0.003). Observability (β = 0.103, P = 0.005), perceived ease (β = 0.085, P = 0.004), and relative advantage (β = 0.041, P = 0.009) also indirectly influenced the wearing behavior.Conclusion: The intentions of Chinese elderly type 2 diabetic patients to wearable activity trackers directly influenced the actual wearing behavior. In addition, their adoption intention to wearable activity trackers was mainly influenced by observability, perceived ease to use, relative advantage, perceived risk, and social image.

Heart Rate and Distance Measurement of Two Multisport Activity Trackers and a Cellphone App in Different Sports: A Cross-Sectional Validation and Comparison Field Study

Options for monitoring sports have been continuously developed by using activity trackers to determine almost all vital and movement parameters. The aim of this study was to validate heart rate and distance measurements of two activity trackers (Polar Ignite; Garmin Forerunner 945) and a cellphone app (Polar Beat app using iPhone 7 as a hardware platform) in a cross-sectional field study. Thirty-six moderate endurance-trained adults (20 males/16 females) completed a test battery consisting of walking and running 3 km, a 1.6 km interval run (standard 400 m outdoor stadium), 3 km forest run (outdoor), 500/1000 m swim and 4.3/31.5 km cycling tests. Heart rate was recorded via a Polar H10 chest strap and distance was controlled via a map, 400 m stadium or 50 m pool. For all tests except swimming, strong correlation values of r > 0.90 were calculated with moderate exercise intensity and a mean absolute percentage error of 2.85%. During the interval run, several significant deviations (p < 0.049) were observed. The swim disciplines showed significant differences (p < 0.001), with the 500 m test having a mean absolute percentage error of 8.61%, and the 1000 m test of 55.32%. In most tests, significant deviations (p < 0.001) were calculated for distance measurement. However, a maximum mean absolute percentage error of 4.74% and small mean absolute error based on the total route lengths were calculated. This study showed that the accuracy of heart rate measurements could be rated as good, except for rapid changing heart rate during interval training and swimming. Distance measurement differences were rated as non-relevant in practice for use in sports.

The impact of late liver allograft dysfunction on physical activity of liver transplant recipients

Introduction. Liver transplantation restores patients' physical and social life, and its quality. The prevalence of low physical activity in liver recipients is unknown as well as the impact of late liver allograft dysfunction on it. Liver transplantation enhances patient's return to the usual physical and social activity and improves the quality of life. However, the prevalence of low physical activity among liver recipients and the impact of the late allograft dysfunction on it, which is a risk factor for obesity and cardiovascular diseases, require studying.The aim of the study was to identify whether the late liver allograft dysfunction influences the physical activity of recipients.Material and methods. The study included 87 liver recipients. We measured anthropometric parameters, physical performance (SPPB, LFI, 6-min walk test), mean step count per day. Late liver allograft dysfunction was determined if elevated transaminases and/or cholestatic enzymes or hepatic failure have been diagnosed later than 3 months posttransplant. Activity trackers were provided to assess physical activity.Results. Median age was 54 years [45;61], 33% were men. The median follow-up period was 36 months [16;64]. The median of the average steps count was 5.9 [4.1;8.7] thousand per day. 60.5% of recipients were sedentary and low active, 24.4% were somewhat active, 15.1% were active. In cases of liver allograft dysfunction, the mean step count was significantly lower than in patients with normal liver function: 4.1 thousand [2.6;5.3] versus 6.8 thousand [4.2;9.4], p=0.003, despite no differences in the physical activity test results.Conclusion. In case of a late liver allograft dysfunction, the physical activity can decrease; 60.5% of liver recipients, in the absence of pathological restriction of movement, have a sedentary and low active lifestyle. Activity trackers may allow identifying patients who need additional check-up or physical training.

The Unquantifiable Self: An exploration into the relationship between users and their activity trackers

<p>Digital self-tracking generates ever increasing amounts of personal data on anything from mood and relationships to health and finance. This thesis aims to explore the relationship between the consumer and their personal data, it seeks to discover how self-tracking changes the user’s experience and understanding of the world and themselves. The background research firstly discusses the usefulness and availability of self-tracking data to the consumer in comparison to other stakeholders. Secondly, it explores the services and cultural systems that guide how self-tracking might be used as a tool for self-expression. Thirdly, it outlines the ways that quantification can change how an experience is perceived and the meaning that people find in analysing their data.Finally, it discusses the impact of potential surveillance on consumers. Interviews and analysis concluded that activity trackers help users make day to day decisions, that personal data is both meaningful and useful to the user and can act as a way to express or represent their experiences and that the act of using an activity tracker also changes and often enhances the experiences of the user. These ideas were then explored in a series of design works that both critiqued self-tracking and used it as a creative medium.</p>

The Unquantifiable Self: An exploration into the relationship between users and their activity trackers

<p>Digital self-tracking generates ever increasing amounts of personal data on anything from mood and relationships to health and finance. This thesis aims to explore the relationship between the consumer and their personal data, it seeks to discover how self-tracking changes the user’s experience and understanding of the world and themselves. The background research firstly discusses the usefulness and availability of self-tracking data to the consumer in comparison to other stakeholders. Secondly, it explores the services and cultural systems that guide how self-tracking might be used as a tool for self-expression. Thirdly, it outlines the ways that quantification can change how an experience is perceived and the meaning that people find in analysing their data.Finally, it discusses the impact of potential surveillance on consumers. Interviews and analysis concluded that activity trackers help users make day to day decisions, that personal data is both meaningful and useful to the user and can act as a way to express or represent their experiences and that the act of using an activity tracker also changes and often enhances the experiences of the user. These ideas were then explored in a series of design works that both critiqued self-tracking and used it as a creative medium.</p>

Research on physical activity variability and changes of metabolic profile in patients with prediabetes using Fitbit activity trackers data

BACKGROUND: Monitoring physical activity with consumers wearables is one of the possibilities to control a patient’s self-care and adherence to recommendations. However, clinically approved methods, software, and data analysis technologies to collect data and make it suitable for practical use for patient care are still lacking. OBJECTIVE: This study aimed to analyze the potential of patient physical activity monitoring using Fitbit physical activity trackers and find solutions for possible implementation in the health care routine. METHODS: Thirty patients with impaired fasting glycemia were randomly selected and participated for 6 months. Physical activity variability was evaluated and parameters were calculated using data from Fitbit Inspire devices. RESULTS: Changes in parameters were found and correlation between clinical data (HbA1c, lipids) and physical activity variability were assessed. Better correlation with variability than with body composition changes shows the potential to include nonlinear variability parameters analysing physical activity using mobile devices. Less expressed variability shows better relationship with control of prediabetic and lipid parameters. CONCLUSIONS: Evaluation of physical activity variability is essential for patient health, and these methods used to calculate it is an effective way to analyze big data from wearable devices in future trials.

Comparison Of Chest And Wrist Based Actigraphy In Pulmonary Arterial Hypertension

Introduction Activity trackers for clinical trials and remote monitoring are appealing as they provide objective data outside of the clinic setting. Algorithms determine physical activity intensity and count steps. Multiple studies show physical inactivity in pulmonary arterial hypertension (PAH). There are no studies comparing different activity trackers worn on different parts of the body in PAH. We had patients with PAH simultaneously wear two different accelerometers, compared measures between the two devices, and correlated the measures with standard clinical metrics in PAH. Methods This was a single-center, prospective observational study. Daily physical activity and daily total steps were measured using Actigraph GT9X Link and MC10 Biostamp nPoint for 5-10 days. Actigraph was worn on the non-dominant hand and the MC10 Biostamp nPoint was worn on the chest and leg with disposable adhesives. Results Twenty-two participants wore both accelerometers &gt;12 hours/day for an average 7.8 days. The average activity time measured by Actigraph was significantly higher than that measured by MC10 (251 +/- 25 minutes vs 113 +/- 18 minutes, p = 0.0001). Actigraph’s algorithm reported more time in light activity than moderate (190 +/- 62 minutes vs 60 +/- 56 minutes, p = 0.0001). REVEAL 2.0 scores correlated highly with activity time measured using either device. Invasively measured hemodynamics within 7 days did not correlate with activity time or daily steps. Conclusion Different activity trackers yield discordant results in PAH patients. Further studies are needed in determining the best device, optimal wear time, and different thresholds for activities in chronic diseases.