<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Ferris, Alana J</style></author><author><style face="normal" font="default" size="100%">Riley, Kylie W</style></author><author><style face="normal" font="default" size="100%">Calero, Lehyla</style></author><author><style face="normal" font="default" size="100%">Holmes, Darrell</style></author><author><style face="normal" font="default" size="100%">Tobon, Catherine</style></author><author><style face="normal" font="default" size="100%">Gutierrez, Matthew</style></author><author><style face="normal" font="default" size="100%">Botelho, Julianne Cook</style></author><author><style face="normal" font="default" size="100%">Calafat, Antonia M</style></author><author><style face="normal" font="default" size="100%">Deyssenroth, Maya</style></author><author><style face="normal" font="default" size="100%">Anderson, Kim A</style></author><author><style face="normal" font="default" size="100%">Herbstman, Julie B</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Evaluating the use of silicone wristbands and urinary biomarkers to assess personal exposure to phthalates.</style></title><secondary-title><style face="normal" font="default" size="100%">J Expo Sci Environ Epidemiol</style></secondary-title><alt-title><style face="normal" font="default" size="100%">J Expo Sci Environ Epidemiol</style></alt-title></titles><dates><year><style  face="normal" font="default" size="100%">2026</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2026 Apr 28</style></date></pub-dates></dates><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;&lt;strong&gt;BACKGROUND: &lt;/strong&gt;Biomonitoring studies for phthalates often rely on concentrations of urinary biomarkers, but there is interest in broadening exposure assessment methods, especially for use with vulnerable populations like pregnant women. Silicone wristbands (wristbands) are non-invasive passive sampling devices that have been shown as valid exposure assessment tools for a variety of chemicals and could provide a complementary method of phthalate exposure assessment.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;OBJECTIVE: &lt;/strong&gt;This study examined the relationship between phthalates detected in wristbands and their corresponding urinary metabolites to understand the ability of wristbands to capture phthalates.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;METHODS: &lt;/strong&gt;This pilot study included 27 pregnant women from the New York City-based longitudinal birth cohort study, the Fair Start Cohort. One wristband and spot urine samples provided at three time points were collected during a single 48-hour period. Six phthalate levels in wristbands were compared with the corresponding 12 urinary metabolite concentrations. Linear regressions and k-means clustering were employed to describe the relationship between, and information generated from wristband and urine matrices.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;RESULTS: &lt;/strong&gt;Three of the six parent phthalates were significantly positively associated with at least one of their metabolites in urine (butylbenzyl phthalate with monobenzyl phthalate; di-2-ethylhexyl phthalate with mono-2-ethylhexyl phthalate; di-iso-butyl phthalate with mono-hydroxy-isobutyl phthalate, mono-isobutyl phthalate, and the molar sum of these metabolites). Exposure marker profiles differed between wristband and urine matrices, which may reflect differences in routes of exposures.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;IMPACT: &lt;/strong&gt;This study demonstrates the ability of wristbands to capture personal exposure to phthalates and their substitutes. Additionally, using wristbands as an exposure assessment method could fill the gap in our understanding of the contribution of inhalation and dermal exposure routes for phthalate exposure, as these remain understudied in the literature.&lt;/p&gt;
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bramer, Lisa M</style></author><author><style face="normal" font="default" size="100%">Dixon, Holly M</style></author><author><style face="normal" font="default" size="100%">Degnan, David J</style></author><author><style face="normal" font="default" size="100%">Rohlman, Diana</style></author><author><style face="normal" font="default" size="100%">Herbstman, Julie B</style></author><author><style face="normal" font="default" size="100%">Kim A Anderson</style></author><author><style face="normal" font="default" size="100%">Waters, Katrina M</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Expanding the access of wearable silicone wristbands in community-engaged research through best practices in data analysis and integration.</style></title><secondary-title><style face="normal" font="default" size="100%">Pac Symp Biocomput</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Pac Symp Biocomput</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Computational Biology</style></keyword><keyword><style  face="normal" font="default" size="100%">Data Analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">Environmental Monitoring</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Silicones</style></keyword><keyword><style  face="normal" font="default" size="100%">Wearable Electronic Devices</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2024</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2024</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">29</style></volume><pages><style face="normal" font="default" size="100%">170-186</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;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.&lt;/p&gt;
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