@article{TEXTUAL,
      recid = {5203},
      author = {Yu, Jiachen and Fairbairn, Catharine E. and Gurrieri,  Laura and Caumiant, Eddie P.},
      title = {Validating transdermal alcohol biosensors: A meta-analysis  of associations between blood/breath-based measures and  transdermal alcohol sensor output},
      journal = {Addiction},
      address = {2022-05-23},
      number = {TEXTUAL},
      abstract = {&lt;p&gt;Background and aims: Transdermal alcohol sensors carry  immense promise for the continuous assessment of drinking  but are inconsistent in detecting more fine-grained  indicators of alcohol consumption. Prior studies examining  associations between transdermal alcohol concentration  (TAC) and blood/breath alcohol concentration (BAC) have  yielded highly variable correlations and lag times. The  current review aimed to synthesize transdermal validation  studies, aggregating results from more than three decades  of research to characterize the validity of transdermal  sensors for assessing alcohol consumption.&lt;/p&gt; &lt;p&gt;Methods:  Databases were searched for studies listed prior to 1 March  2022 that examined associations between transdermal alcohol  sensor output and blood and breath-based alcohol measures,  resulting in 31 primarily laboratory-derived participant  samples (27 precise effect sizes) including both healthy  and clinical populations. Correlation coefficients and lag  times were pooled using three-level random-effects  meta-regression. Independent raters coded study  characteristics, including the body position of transdermal  sensors (ankle- versus arm/hand/wrist-worn device) and  methodological bias (e.g. missing data).&lt;/p&gt; &lt;p&gt;Results:  Analyses revealed that, in this primarily  laboratory-derived sample of studies, the average  correlation between TAC and BAC was large in magnitude  [r = 0.87, 95% confidence interval (CI) = 0.80, 0.93], and  TAC lagged behind BAC by an average of 95.90 minutes (95%  CI = 55.50, 136.29). Device body position significantly  moderated both TAC–BAC correlation (b = 0.11, P = 0.009)  and lag time (b = −69.41, P &lt; 0.001). Lag times for  ankle-worn devices were approximately double those for  arm/hand/wrist-worn devices, and TAC–BAC correlations also  tended to be stronger for arm/hand/wrist-worn sensors.&lt;/p&gt;  &lt;p&gt;Conclusions: This meta-analysis indicates that  transdermal alcohol sensors perform strongly in assessing  blood/breath alcohol concentration under controlled  conditions, with particular promise for the newer  generation of wrist-worn devices.&lt;/p&gt;},
      url = {http://knowledge.uchicago.edu/record/5203},
}