Wearable alcohol monitors for alcohol use data collection among college students: feasibility and acceptability in a pilot study

Rosenberg, Molly; Ludema, Christina; Kianersi, Sina; Luetke, Maya; Guerra‐Reyes, Lucia; Shih, Patrick C.; Finn, Peter R.

doi:10.1101/2021.02.17.21251959

Cited by 18 publications

(27 citation statements)

References 26 publications

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“…However, all these measurement tools are validated. Collecting real-time alcohol use data using ecological momentary assessment tools might help to reduce these biases [67].…”

Section: Methodsmentioning

confidence: 99%

Relationship between high‐risk alcohol consumption and severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) seroconversion: a prospective sero‐epidemiological cohort study among American college students

et al. 2022

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Aims To estimate the associations between high‐risk alcohol consumption and (1) severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) seroconversion, (2) self‐reported new SARS‐CoV‐2 infection and (3) symptomatic COVID‐19. Design Prospective cohort study. Setting Indiana University Bloomington (IUB), IN, USA. Participants A total of 1027 IUB undergraduate students (64% female), aged 18 years or older, residing in Monroe County, Indiana, seronegative for SARS‐CoV‐2 at study baseline. Measurements Primary exposure was high‐risk alcohol consumption measured with an Alcohol Use Disorders Identification Test (AUDIT) questionnaire score of 8 or more. Primary outcome was SARS‐CoV‐2 seroconversion since baseline, assessed with two SARS‐CoV‐2 antibody tests, at baseline (September 2020) and end‐line (November 2020). Secondary outcomes were (a) self‐reported new SARS‐CoV‐2 infection at the study end‐line and (b) self‐reported symptomatic COVID‐19 at baseline. Findings Prevalence of high‐risk alcohol consumption was 32 %. In models adjusted for demographics, students with high‐risk alcohol consumption status had 2.44 [95% confidence interval (CI) = 1.35, 4.25] times the risk of SARS‐CoV‐2 seroconversion and 1.84 (95% CI = 1.04, 3.28) times the risk of self‐reporting a positive SARS‐CoV‐2 infection, compared with students with no such risk. We did not identify any association between high‐risk alcohol consumption and symptomatic COVID‐19 (prevalence ratio = 1.17, 95% CI = 0.93, 1.47). Findings from sensitivity analyses corroborated these results and suggested potential for a dose–response relationship. Conclusions Among American college students, high‐risk alcohol consumption appears to be associated with higher risk for severe acute respiratory syndrome coronavirus 2 seroconversion/infection.

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“…However, all these measurement tools are validated. Collecting real-time alcohol use data using ecological momentary assessment tools might help to reduce these biases [67].…”

Section: Methodsmentioning

confidence: 99%

Relationship between high‐risk alcohol consumption and severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) seroconversion: a prospective sero‐epidemiological cohort study among American college students

et al. 2022

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“…An overall high correlation between self-report and TAC was found (correlation for drinking start time: r=0.90 and P<.001; AUC for drinking event: r=0.7 and P=.008) [47]. BACtrack was able to distinguish low and high alcohol doses.…”

Section: Bactrackmentioning

confidence: 82%

“…Of the 32 studies, 19 (59%) used a SCRAM device [13,[23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40], 7 (22%) used a WrisTAS device [34,[41][42][43][44][45][46], 5 (16%) used BACtrack Skyn [10,29,30,40,47], 1 (3%) used an ION Milo sensor [11], 1 (3%) used Quantac Tally [10], 1 (3%) used a wearable Internet of Things (IoT) sensor [48], 1 (3%) used an MOX sensor [49], 1 (3%) used a proton-exchange membrane (PEM) fuel cell sensor [50], and 1 (3%) did not name the TAS used [51]. Some studies (4/32, 13%) used more than one version of the device (eg, SCRAMx and SCRAM-II), and 16% (5/32) used more than one brand of device (Table 1).…”

Section: Study Characteristicsmentioning

confidence: 99%

“…Of the 32 studies, 19 (59%) explored the accuracy of SCRAM in laboratory or ambulatory settings [13,[23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40], 7 (22%) explored the accuracy of WrisTAS in laboratory or ambulatory settings [34,[41][42][43][44][45][46], and 5 (16%) explored the accuracy of a BACtrack device or prototype in laboratory or ambulatory settings [10,29,30,40,47]. Finally, there were six (6/32, 19%) other TAS devices within the included papers: a PEM fuel cell-based wearable alcohol sensor [50], Milo [11], MOX [49], Quantac Tally [10], a wearable IoT sensor [48], and 1 study (1/32, 3%) that did not name the device but simply described it as a TAS throughout [51].…”

Section: Overviewmentioning

confidence: 99%

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Accuracy of Wearable Transdermal Alcohol Sensors: Systematic Review

Brobbin¹,

Deluca²,

Hemrage³

et al. 2022

J Med Internet Res

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Background There are a range of wearable transdermal alcohol sensors that are available and are being developed. These devices have the potential to monitor alcohol consumption continuously over extended periods in an objective manner, overcoming some of the limitations of other alcohol measurement methods (blood, breath, and urine). Objective The objective of our systematic review was to assess wearable transdermal alcohol sensor accuracy. Methods A systematic search of the CINAHL, Embase, Google Scholar, MEDLINE, PsycINFO, PubMed, and Scopus bibliographic databases was conducted in February 2021. In total, 2 team members (EB and SH) independently screened studies for inclusion, extracted data, and assessed the risk of bias. The methodological quality of each study was appraised using the Mixed Methods Appraisal Tool. The primary outcome was transdermal alcohol sensor accuracy. The data were presented as a narrative synthesis. Results We identified and analyzed 32 studies. Study designs included laboratory, ambulatory, and mixed designs, as well as randomized controlled trials; the length of time for which the device was worn ranged from days to weeks; and the analyzed sample sizes ranged from 1 to 250. The results for transdermal alcohol concentration data from various transdermal alcohol sensors were generally found to positively correlate with breath alcohol concentration, blood alcohol concentration, and self-report (moderate to large correlations). However, there were some discrepancies between study reports; for example, WrisTAS sensitivity ranged from 24% to 85.6%, and specificity ranged from 67.5% to 92.94%. Higher malfunctions were reported with the BACtrack prototype (16%-38%) and WrisTAS (8%) than with SCRAM (2%); however, the former devices also reported a reduced time lag for peak transdermal alcohol concentration values when compared with SCRAM. It was also found that many companies were developing new models of wearable transdermal alcohol sensors. Conclusions As shown, there is a lack of consistency in the studies on wearable transdermal alcohol sensor accuracy regarding study procedures and analyses of findings, thus making it difficult to draw direct comparisons between them. This needs to be considered in future research, and there needs to be an increase in studies directly comparing different transdermal alcohol sensors. There is also a lack of research investigating the accuracy of transdermal alcohol sensors as a tool for monitoring alcohol consumption in clinical populations and use over extended periods. Although there is some preliminary evidence suggesting the accuracy of these devices, this needs to be further investigated in clinical populations. Trial Registration PROSPERO CRD42021231027; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=231027

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“…However, all these measurement tools are validated. Collecting real-time alcohol use data using ecological momentary assessment tools might help to reduce these biases (58).…”

Section: Discussionmentioning

confidence: 99%

High-risk alcohol consumption may increase the risk of SARS-CoV-2 seroconversion: a prospective seroepidemiologic cohort study among American college students

Kianersi

Ludema

Macy

et al. 2021

Preprint

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Aims: To estimate the associations between high-risk alcohol consumption and (1) SARS-CoV-2 seroconversion, (2) self-reported new SARS-CoV-2 infection, and (3) symptomatic COVID-19. Design: Prospective cohort Setting: Indiana University Bloomington (IUB), a public university of 34,660 students in southern Indiana. Participants: At the beginning of the fall 2020 semester, we randomly sampled N=1,267 IU undergraduate students, aged 18 years or older and residing in Monroe County, IN. Measurements: Primary exposure was high-risk alcohol consumption measured with the AUDIT questionnaire. We used an AUDIT score of 8 or more as the cut-off score when detecting high-risk alcohol consumption. Primary outcome was SARS-CoV-2 seroconversion, assessed with two SARS-CoV-2 antibody tests, at baseline and endline. Secondary outcomes were a) self-reported new SARS-CoV-2 infection at the study endline, and b) self-reported symptomatic COVID-19 at baseline. Findings: Prevalence of high-risk alcohol consumption was 34%. We found that students with high-risk alcohol consumption status had 2.34 [95% CI: (1.29, 4.24)] times the risk of SARS-CoV-2 seroconversion and 1.89 [95% CI: (1.08, 3.32)] times the risk of self-reporting a positive SARS-CoV-2 infection, compared to students with no such risk. Moreover, students with high-risk alcohol consumption were 18% more likely to develop symptomatic COVID-19, though this association was not statistically significant. Similar results were found after adjusting for sex at birth, race, and year in school. Findings from sensitivity analyses corroborated these results and suggested potential for a dose-response relationship. Conclusions: In this sample of American college students, high-risk alcohol consumption was associated with higher risk for SARS-CoV-2 seroconversion/infection. These findings could have implications for colleges' reopening planning in fall 2021.

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Wearable alcohol monitors for alcohol use data collection among college students: feasibility and acceptability in a pilot study

Cited by 18 publications

References 26 publications

Relationship between high‐risk alcohol consumption and severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) seroconversion: a prospective sero‐epidemiological cohort study among American college students

Relationship between high‐risk alcohol consumption and severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) seroconversion: a prospective sero‐epidemiological cohort study among American college students

Accuracy of Wearable Transdermal Alcohol Sensors: Systematic Review

High-risk alcohol consumption may increase the risk of SARS-CoV-2 seroconversion: a prospective seroepidemiologic cohort study among American college students

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