Expanding the access of wearable silicone wristbands in community-engaged research through best practices in data analysis and integration

Conference · Mon Jan 01 04:00:00 EST 2024

DOI:https://doi.org/10.1142/9789811286421_0014· OSTI ID:2345733

Bramer, Lisa M. ^[1]; Dixon, Holly M. ^[2]; Degnan, David J. ^[1]; Rohlman, Diana ^[2]; Herbstman, Julie B. ^[3]; Anderson, Kim A. ^[2]; Waters, Katrina M. ^[1]

---

1. BATTELLE (PACIFIC NW LAB)
2. Oregon State University
3. Columbia University

Wearable silicone wristbands are a rapidly growing exposure assessment technology that offer researchers the ability to study previously inaccessible cohorts and have the potential to provide a more comprehensive picture of chemical exposure within diverse communities. However, there are no established best practices for analyzing the data within a study or across multiple studies, thereby limiting impact and access of these data for larger meta-analyses. We utilize data from three studies, from over 600 wristbands worn by participants in New York City and Eugene, Oregon, to present a first-of-its-kind manuscript detailing wristband data properties. We further discuss and provide concrete examples of key areas and considerations in common statistical modeling methods where best practices must be established to enable meta-analyses and integration of data from multiple studies. Finally, we detail important and challenging aspects of machine learning, meta-analysis, and data integration that researchers will face in order to extend beyond the limited scope of individual studies focused on specific populations.

• Research Organization: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-76RL01830
• OSTI ID: 2345733
• Report Number(s): PNNL-SA-188524
• Country of Publication: Singapore
• Language: English