University of Illinois at Urbana-Champaign. Graduate College. Focal Point InitiativeOpe

Lee, Katharine

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Physical Activity Analysis: A project in many languages

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Physical Activity Analysis:A project in many languagesKatharine LeeDepartment of Anthropology, University of Illinois at Urbana-ChampaignChallenges & Solutions:• FitBit does not provide continuous data from web interface- Request developer API from company with special permissions- Download physical activity data from FitBit servers using Ruby• Summarized data includes days the device was delivered to & returned by study participant- Remove incomplete days of data collection, then- Average data from each individual across days- Analyzed in R because it would be tedious & error-prone in Excel• Continuous data must be categorized- Sleep time should not be included in further analyses.- Remove first & last day from analysis because of incomplete data- Classify time intensity of activity for each remaining time period- Used Python (Jupyter notebook) for flexibility with data structuresProject Goals:• Use commercially available physical activity monitors (FitBit One) to collect detailed data about physical activity in adult women in rural Poland• Analyze effects of physical activity in relation to markers of bone turnover and levels of reproductive hormones• Leverage continuous data for time-use analysis methods and daily summary data for overall activity level• Avoid spending research funds on very expensive activity monitors and softwareOutcomes:• Code is written to allow for quick downloading of physical activity data and fast, consistent parsing of files, which will be useful for the additional data collection I will be performing in Summer 2016 and Summer 2017.• Results from this analysis have been presented at 2016 Association of Physical Anthropologists annual meeting in Atlanta, GA (April 2016)• Results from this analysis are accepted for presentation at 2016 International Society for Evolutionary Medicine and Public Health annual meeting in Durham, NC (June 2016)• I will be applying to present work generated in this class at the Feminist Biology Symposium at the University of Wisconsin (October 2016)Acknowledgements:• This work was part of a Focal Point grant funded by the Graduate College at the University of Illinois at Urbana-Champaign• FitBit One trackers purchased with funding from Beckman Institute Cognitive Science/Artificial Intelligence grant and UIUC Dept of Anthropology Summer Graduate Research Assistance Award• Data collection was possible with M. Rogers and K. Lee NSF GRFP awards, American Philosophical Society’s Lewis and Clark Fund for Exploration, and NSF Clancy #1317140• Additional thanks are due to research participants, Polish field assistants, Aaron Lee, and the instructors of this class.

https://www.ideals.illinois.edu/bitstream/2142/90041/2/KLee_Poster.pdf

Physical Activity Analysis: A project in many languages

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