Happier People Live More Active Lives: Using Smartphones to Link Happiness and Physical Activity.

Physical activity, both exercise and non-exercise, has far-reaching benefits to physical health. Although exercise has also been linked to psychological health (e.g., happiness), little research has examined physical activity more broadly, taking into account non-exercise activity as well as exercise. We examined the relationship between physical activity (measured broadly) and happiness using a smartphone application. This app has collected self-reports of happiness and physical activity from over ten thousand participants, while passively gathering information about physical activity from the accelerometers on users' phones. The findings reveal that individuals who are more physically active are happier. Further, individuals are happier in the moments when they are more physically active. These results emerged when assessing activity subjectively, via self-report, or objectively, via participants' smartphone accelerometers. Overall, this research suggests that not only exercise but also non-exercise physical activity is related to happiness. This research further demonstrates how smartphones can be used to collect large-scale data to examine psychological, behavioral, and health-related phenomena as they naturally occur in everyday life.Engineering and Physical Sciences Research Council (UBhave project (Ubiquitous and Social Computing for Positive Behaviour Change, Grant ID: EP/I032673/1))This is the final version of the article. It first appeared from Public Library of Science via https://doi.org/http://dx.doi.org/10.1371/journal.pone.016058

Workplace Health Promotion: Effects of an mHealth application on Employee Behaviour and Wellness

Organizations are using digital tools to support workplace health promotion (WHP) initiatives. This study investigates the effects of a mobile health (mHealth) application on employee behaviour and wellness. This exploratory, empirical case study was conducted as part of an established workplace health initiative in the Health Service Executive (HSE) in Ireland, April 2018. User data on exercise including daily activity in the form of steps taken, mood, total daily exercise, and other variables were captured as part of the ‘Steps to Health Challenge’. Phase 1 of the study involved the collection of user data from 70 active app users and a survey was conducted. The majority of participants found that the mHealth app motivated them to sustain, and in some cases increase, their daily steps. Phase 2 involved interviews. Following qualitative data analysis, we found that the app positively effected employee behaviour; specific features were highlighted as especially influential

Mind over matter: testing the efficacy of an online randomized controlled trial to reduce distraction from smartphone use

Evidence suggests a growing call for the prevention of excessive smartphone and social media use and the ensuing distraction that arises affecting academic achievement and productivity. A ten-day online randomized controlled trial with the use of smartphone apps, engaging participants in mindfulness exercises, self-monitoring and mood tracking, was implemented amongst UK university students (n = 143). Participants were asked to complete online pre-and post-intervention assessments. Results indicated high effect sizes in reduction of smartphone distraction and improvement scores on a number of self-reported secondary psychological outcomes. The intervention was not effective in reducing habitual behaviours, nomophobia, or time spent on social media. Mediation analyses demonstrated that: (i) emotional self-awareness but not mindful attention mediated the relationship between intervention effects and smartphone distraction, and (ii) online vigilance mediated the relationship between smartphone distraction and problematic social media use. The present study provides preliminary evidence of the efficacy of an intervention for decreased smartphone distraction and highlights psychological processes involved in this emergent phenomenon in the smartphone literature. Online interventions may serve as complementary strategies to reduce distraction levels and promote insight into online engagement. More research is required to elucidate the mechanisms of digital distraction and assess its implications in problematic use

Feasibility of MyHealthAvatar mobile phone application for reducing prolonged sedentary behaviour in Type 2 diabetes

A thesis submitted to the University of Bedfordshire, in fulfilment of the requirements for the degree of Masters by Research.Objective: Time spent in a prolonged sedentary state can have detrimental health effects in people with Type 2 diabetes mellitus (T2DM). The aim of this study was to assess the feasibility of a mobile phone app, MyHealthAvatar, for reducing prolonged sedentary behaviour in people with T2DM. Methods: Twelve individuals with recently diagnosed T2DM were randomised to either an intervention or control group for 8 weeks. The intervention group utilised the app for 8 weeks and the control group continued their normal behaviour. Physical activity and sitting were measured at baseline and during the last intervention week. Health measures were taken at baseline and post-intervention. Semi-structured interviews were carried out post-intervention to gain participant feedback on the usability of the app. Results: The intervention group decreased total sedentary time by 50.52 minutes/day and increased number of breaks from sedentary time by 4.08 breaks per day, standing time by 41.76 minutes/day and light physical activity by 5.28 minutes/day from baseline to post-intervention compared to the control group. Conclusion: MyHealthAvatar has the potential to reduce prolonged sedentary behaviour in individuals with T2DM. The effectiveness of this app requires investigation in a fully powered randomised controlled trial

Quantifying Quality of Life

Describes technological methods and tools for objective and quantitative assessment of QoL Appraises technology-enabled methods for incorporating QoL measurements in medicine Highlights the success factors for adoption and scaling of technology-enabled methods This open access book presents the rise of technology-enabled methods and tools for objective, quantitative assessment of Quality of Life (QoL), while following the WHOQOL model. It is an in-depth resource describing and examining state-of-the-art, minimally obtrusive, ubiquitous technologies. Highlighting the required factors for adoption and scaling of technology-enabled methods and tools for QoL assessment, it also describes how these technologies can be leveraged for behavior change, disease prevention, health management and long-term QoL enhancement in populations at large. Quantifying Quality of Life: Incorporating Daily Life into Medicine fills a gap in the field of QoL by providing assessment methods, techniques and tools. These assessments differ from the current methods that are now mostly infrequent, subjective, qualitative, memory-based, context-poor and sparse. Therefore, it is an ideal resource for physicians, physicians in training, software and hardware developers, computer scientists, data scientists, behavioural scientists, entrepreneurs, healthcare leaders and administrators who are seeking an up-to-date resource on this subject

Activity Tracker Measurement of Physical Activity and Sedentary Time in the Workplace Including an Intervention Involving Reminders to Move

Sedentary time and physical inactivity have negative impacts on health and health costs as well as an impact on workplace wellbeing. There is evidence that people are more sedentary and engage in less physical activity on work days. Additionally, sedentary behavior has been found to increase distress and negative mood. Activity trackers such as Fitbits are a useful way to collect and intervene on sedentary behavior and potentially impact other factors of workplace wellbeing in real time and promote self-monitoring. The reminder to move prompts that are now part of Fitbit models provide an innovative and simple way to intervene on workplace sedentary behavior with hourly movement prompts. This study examined the impact of an intervention on sedentary time at work with Fitbit reminders to move and what impact the intervention had on other factors of workplace wellbeing including depression, positive and negative affect, job stress, and productivity. Participants were university employees who wore a Fitbit device for three weeks and completed pre-and post-study measures. For the first week, the Fitbit displayed only the watch screen with no access to other data. This was done to establish baseline data. For the second week, the Fitbit device and Fitbit app allowed for self-monitoring by displaying the activity being tracked, including steps, distance, calories expenditure, and stairs walked. For the third week, the sedentary time reduction was implemented by activating the Fitbit application reminder to move. This caused the Fitbit to vibrate at the 50-minute mark of the hour if the participant had not moved 250 steps in that time. Results show that having the reminders to move prompt activated decreased sedentary time at work and increased steps throughout the day on work days. These changes in sedentary time significantly contributed to decreases in depression. From the start of the study to after the intervention, on average participants reported significantly less depression, negative affect, and stress and more positive affect, affect balance, social functioning, physical functioning, and productivity at work. The benefits of in the moment self-monitoring and an intervention around sedentary time with Fitbits on factors of workplace wellbeing are discussed as well as limitations, and future directions

Mother-child Dyadic Influences of Affect on Everyday Movement Behaviors: Evidence from an Ecological Momentary Assessment Study

Background Research has shown that affect is associated with everyday movement behaviors in children and adults. However, limited work to date has investigated dyadic influences of momentary affect on moderate-to-vigorous physical activity (MVPA) and sedentary time among children and their mothers using ecological momentary assessment (EMA). Methods Mothers and their children (eight to 12-years-old at baseline) from the Los Angeles metropolitan area participated in a longitudinal study with six semi-annual measurement waves across three years. During each measurement wave, mothers and children reported momentary negative and positive affect via a custom smartphone-based EMA application across seven days (randomly sampled up to eight times per day). Each dyad member’s momentary affective states were used to predict their own and the other dyad member’s accelerometer-measured MVPA and sedentary time in the prompt-matched 45-min time window. Multilevel modeling within the actor-partner interdependence model (APIM) framework was applied to accommodate the nested dyadic nature of the data. Results At the within-subject level, when children had higher-than-usual positive affect, they engaged in greater MVPA and less sedentary time in the prompt-matched 45-min window (actor effects; ps \u3c .001). When mothers experienced higher-than-usual positive affect, they engaged in more sedentary time in the same 45-min window (actor effect; p \u3c .001). Children’s higher-than-usual positive affect also predicted more MVPA time of their mothers (partner effect; p \u3c .05). At the between-subjects level, for mothers who reported higher average negative affect than other mothers, their children overall had less MVPA and more sedentary time (partner effects ps \u3c .05). Conclusions This study extends the literature by demonstrating that mothers’ and children’s everyday physical activity and sedentary time are not only associated with their own affective states, but also may be influenced by the affective states of each other. Our findings suggest that affective states have the potential to influence movement behaviors in mother-child dyads’ everyday lives. Affective underpinnings of physical activity and sedentary behaviors should be further studied in order to develop family-based intervention strategies to influence these behaviors

Quantifying Quality of Life

Describes technological methods and tools for objective and quantitative assessment of QoL Appraises technology-enabled methods for incorporating QoL measurements in medicine Highlights the success factors for adoption and scaling of technology-enabled methods This open access book presents the rise of technology-enabled methods and tools for objective, quantitative assessment of Quality of Life (QoL), while following the WHOQOL model. It is an in-depth resource describing and examining state-of-the-art, minimally obtrusive, ubiquitous technologies. Highlighting the required factors for adoption and scaling of technology-enabled methods and tools for QoL assessment, it also describes how these technologies can be leveraged for behavior change, disease prevention, health management and long-term QoL enhancement in populations at large. Quantifying Quality of Life: Incorporating Daily Life into Medicine fills a gap in the field of QoL by providing assessment methods, techniques and tools. These assessments differ from the current methods that are now mostly infrequent, subjective, qualitative, memory-based, context-poor and sparse. Therefore, it is an ideal resource for physicians, physicians in training, software and hardware developers, computer scientists, data scientists, behavioural scientists, entrepreneurs, healthcare leaders and administrators who are seeking an up-to-date resource on this subject