Rest, Wessel van der (2022) The impact of sports on mental health: How wearable technology can help us control and maintain our state of mind. Master's Thesis / Essay, Artificial Intelligence.
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Abstract
Over the last couple of years wearable technology has risen in popularity and accuracy. These 'wearables' promise to be useful for recording physical activity data such as daily activity, workouts, sleep and heart rate information. Earlier studies have shown that medical grade devices could be used to indicate the correlation between physical and mental health. This study aims to see if this correlation is also visible when using popular consumer wearables and if data from these wearables could be used to make a predictive model about the current mental state of an individual. An experiment was conducted in which participants were asked to fill in a short mood assessment twice a day which scored the mental well-being of the participants based on positive affective state, rumination, resilience, cognitive complaints and depression. The answers to these questionnaires were used to capture mental health information, while wearables were used to capture the physical health information. Linear mixed effects models showed that mental well-being is positively affected by more daily steps, a higher workout intensity and frequency and lower mean stress scores. The sleep information did not show to have a significant effect on mental well-being. To see if this correlation could also be implemented in a predictive model, multiple models were trained using different classification methods. These models showed to be able to reach a maximum predictive accuracy of 75%.
| Item Type: | Thesis (Master's Thesis / Essay) |
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| Supervisor name: | Vugt, M.K. van |
| Degree programme: | Artificial Intelligence |
| Thesis type: | Master's Thesis / Essay |
| Language: | English |
| Date Deposited: | 25 Oct 2022 14:01 |
| Last Modified: | 25 Oct 2022 14:01 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/28892 |
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