ArticlePacific Symposium on Biocomputing. Pacific Symposium on Biocomputing2024
Expanding the access of wearable silicone wristbands in community-engaged research through best practices in data analysis and integration.
Article in Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Comparative Analysis of Report-back of Research Results Strategies for Personal Chemical Exposure Data.Journal of exposure science & environmental epidemiology · 2026Article
- Silicone Wristbands for Measuring Human Exposure to Organic Chemicals: Uses and Benefits for Human Biological Research.American journal of human biology : the official journal of the Human Biology Council · 2026Article
- Silicone Wristbands as Passive Environmental Sampling Devices in Low- and Middle-Income Countries: a Scoping Review of the Evidence.Current environmental health reports · 2025Article
- Chemical and non-chemical stressors in a postpartum cohort through wristband and self report data: Links between increased chemical burden, economic, and racial stress.Environment international · 2024Article
Corrections and comments
- Update of
Authors and funding
7 authors.
Funding
Abstract
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.
Indexed as
Identifiers
38160278PMC10766083What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.