Lifestyle Analysis Using Digital footprints
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Digital Revolution has changed how the world used to function. Using digital devices and se sors every activity we do in our daily life can be tracked and can be stored as data. This thesis work aims to search how digital footprint gathering infrastructure can be used to collect digital footprint data specially related to health care, and a case study was done using data from Digital Health Revolution(DHR) study to analyze lifestyle of the participants in the study. Digital footprints of shopping and physical activity of persons participating in DHR study were collected. Also their daily diet and physical activity was recorded using Food Frequency Questionnaire(FFQ) and Physical Activity Questionnaire(PAQ). Comparative analysis was done between shopping and FFQ data. Physical activity data gathered using Withings activity app were compared with PAQ data. Boxplots and and median plots were used to show differences between the values. For many of the food categories shopping done by the participants corresponded with their intake, but for some food categories such as coffee, spreads, pastry and desserts there were high differences in shopping and consumption. No correlation was found between physical activity data gathered from sensors and PAQ(Physical Activity Questionnaire). From the results it can be concluded that the data collected has several limitations. The sample size was small, and if more data could have been gathered using various digital footprint gathering infrastructure, we could have more coherent results. Further using background study information, an ideal digital footprint gathering system, is proposed which will be able to collect all information required for more accurate life style analysis. Using the system results could most probably be improved.