TitleExpanding the access of wearable silicone wristbands in community-engaged research through best practices in data analysis and integration.
Publication TypeJournal Article
Year of Publication2023
AuthorsBramer LM, Dixon H, Degnan DJ, Rohlman D, Herbstman J, Anderson KA, Waters KM
Date Published2023 Oct 02

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.

Alternate JournalbioRxiv
PubMed ID37873084
PubMed Central IDPMC10592864
Grant ListP30 ES030287 / ES / NIEHS NIH HHS / United States
P42 ES016465 / ES / NIEHS NIH HHS / United States
R33 ES024718 / ES / NIEHS NIH HHS / United States
Projects Reference: 
Silicone Wristband Personal Monitoring Device
Silicone Passive Sampling Devices