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Pilot study of daily activities, the urban landscape, cortisol and stress. University of Pennsylvania School of Medicine Center for Clinical Epidemiology and Biostatistics. Mentor: Douglas J. Wiebe, PhD Presenters: Kent Amoo-Achampong Kathy Lugo. Outline. Background Objectives Process
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Pilot study of daily activities, the urban landscape, cortisol and stress University of Pennsylvania School of Medicine Center for Clinical Epidemiology and Biostatistics Mentor: Douglas J. Wiebe, PhD Presenters: Kent Amoo-Achampong Kathy Lugo
Outline Background Objectives Process Technology Study Protocol Data Management Results Conclusions
Background • Socioeconomic status & health • Levels of exposure to environmental stress • Diurnal pattern of cortisol
Background • Socioeconomic status & health • Levels of exposure to environmental stress • Diurnal pattern of cortisol
Objectives Devise and implement a protocol that would enable us to prospectively monitor where young urban adults spend time over the course of their daily activities Assess the accuracy and reliability of study devices Evaluate the willingness of subjects to complete the study Determine the feasibility for conducting a similar study at a larger level in the future
Process How do we learn about where people go, what they experience, and whether it is stressful? GPS- for prospective follow-up GIS- for retrospective follow-up Stress via cortisol Stress via heart rate Subjects underlying characteristics
Methods of data collection Technology Global Positioning System Saliva samples Heart rate monitor Self report interview
Practice Runs • Test GPS accuracy by comparing GPS data & self report data from the Bar Crawl test run
Developing the questionnaire • Personal Control and Mastery • Social Network Diversity • Emotional Support • Chronic Burden • Physical Activity • Alcohol/Tobacco use • Sleep quality • Symptoms of depression Self report interview
Study Protocol • Recruitment • Convenience sample • STARS study sample • 4 day period • Baseline Interview • Study procedures/ administer questionnaire • 2 day data collection period • Exit interview • self-reported path using STARS mapping software
Data Management • GPS data and corresponding heart rate are matched by their time-date stamps and imported into ArcGIS software. • Data is over-layed on a satellite image of Philadelphia, along with the self-reported daily paths, with corresponding stress indicator • The paths with corresponding heart rate are animated in ArcGIS to assess concordance between the two methods
Results • Sample characteristics • Age: 20 • Gender: 3 males, 4 females • Race: 3 African Americans, 4 Caucasians • Performance of technology • Cohesive layering of data • Subject compliance with study protocol
Presenting our work Submission of abstract to the American Public Health Association Submit manuscript for publication
Conclusions • Enrollment continues, but thus far the protocol we developed appears to be feasible, and could be applied to a larger study for analysis on how urban environments can impact stress and, consequently, health in young adults
Douglas Wiebe, PhD Joanne Levy The SUMR program sponsors: Wharton Health Care Management Department Leonard Davis Institute of Health Economics Center for Health Equity Research and Promotion (CHERP)