Obesity is the ‘disease of the 21st century’ and results in physical and psychosocial co-morbidities as well as poor quality of life (QoL). In contrast to the nonsurgical treatment of obesity, bariatric surgery is treatment of choice for morbid obesity. Since improved QoL and enhanced psychosocial functioning are important goals of bariatric surgery, success following bariatric surgery should not only include weight loss and improvement or cure of co-morbid conditions, but also improvements in eating behavior, psychosocial variables, and QoL. Unfortunately, bariatric surgery does not lead to identical results in every patient. Patients who fail to adjust their eating behavior and lifestyle after bariatric surgery may experience adverse reactions. Compliance and adjustment may be attributed largely to psychological factors, implying that the operation on its own represents only one element in bariatric surgery. Considering the role of psychosocial factors in the outcomes of bariatric surgery and the impact of the operation on the psychological and social situation, mental health professionals should be a part of the process of evaluation and treatment of bariatric surgery patients. In the Netherlands, between 2000 and 2005, bariatric surgery has increased tremendously, and most Dutch hospitals have a multidisciplinary selection process.
With the development of sensing technology and the popularization of quantified-self devices, there are increasing types of health-related data that can be sensed, visualized and presented to the user. However, most existing quantified-self applications are designed to support self-management and self-reflection; only a few studies so far have investigated the social aspect of quantified-self data. In this study, we investigated the social role of quantified-self data by introducing the design and evaluation of SocialBike—a digitally augmented bicycle that aims to increase the user’s intrinsic motivation in physical activity through on-site quantified-self data sharing. We conducted a controlled experiment on a cycling simulation system. Two forms of SocialBike’s on-bike display were evaluated with 36 participants. We used the Intrinsic Motivation Inventory to collect quantitative data about users’ intrinsic motivation in physical activity; the cycling simulation system recorded quantitative data about user behavior. Qualitative data was collected through semi-structured interviews. We conducted paired sample t-test to analyze both types of quantitative data; qualitative data were analyzed by the method of thematic analysis. The results show that SocialBike’s front display significantly increased users’ intrinsic motivation in physical activity. A total of nine themes were identified from the qualitative analysis, providing supplementary explanations for the quantitative results and additional insights into the overall design.
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