Validating transdermal alcohol biosensors: a meta‐analysis of associations between blood/breath‐based measures and transdermal alcohol sensor output.
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/breat...
| Publicado en: | Addiction Vol. 117; no. 11; pp. 2805 - 2816 |
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| Autores principales: | , , , |
| Formato: | pictorial research systematic review tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Nov2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=159454834&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 159454834 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09652140 AIO jtl: Addiction issn: 09652140 maglogo: Y pubinfo: dt: Nov2022 vid: 117 iid: 11 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 159454834 157378494 159454834 159454834 10.1111/add.15953 159454834 ppf: 2805 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: C – @attributes: type: P tig: atl: Validating transdermal alcohol biosensors: a meta‐analysis of associations between blood/breath‐based measures and transdermal alcohol sensor output. aug: au: Yu, Jiachen Fairbairn, Catharine E. Gurrieri, Laura Caumiant, Eddie P. affil: University of Illinois, Urbana‐Champaign, IL,, USA sug: subj: Alcohol Drinking Evaluation Biosensors Utilization Equipment Reliability Validity Human Systematic Review Meta Analysis PubMed Psycinfo Body Positions Effect Size Correlation Coefficient Regression Quality Assessment Descriptive Statistics Confidence Intervals ab: 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. 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). 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 < 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. 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. pubtype: Academic Journal doctype: meta analysis pictorial research systematic review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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