Evidence map›Paper›PMID 42422987›Full record

Observational studyAlcohol, clinical & experimental research2026

The Role of Fall Rate From Transdermal Alcohol Concentration on Alcohol-Related Consequences in College Students.

Yiping Li, Veronica L Richards, Shannon D Glenn, Robert J Turrisi, Kimberly A Mallett, Michael A Russell

Abstract readObservational Study
In one paragraph

Observational study in Alcohol, clinical & experimental research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yiping LiDepartment of Biobehavioral Health, The Pennsylvania State University, University Park, Pennsylvania, USA.
Veronica L RichardsTSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences, Tulsa, Oklahoma, USA.ORCID https://orcid.org/0000-0002-1391-0607
Shannon D GlennEdna Bennett Pierce Prevention Research Center, The Pennsylvania State University, University Park, Pennsylvania, USA.
Robert J TurrisiDepartment of Biobehavioral Health, The Pennsylvania State University, University Park, Pennsylvania, USA.
Kimberly A MallettEdna Bennett Pierce Prevention Research Center, The Pennsylvania State University, University Park, Pennsylvania, USA.
Michael A RussellDepartment of Biobehavioral Health, The Pennsylvania State University, University Park, Pennsylvania, USA.

Funding

Pilot, Mentoring, and Professional Development CoreP50DA039838 · NIDA · PENNSYLVANIA STATE UNIVERSITY, THE · PI LI, RUNZE · 2015 to 2019
$13.9M
PREVENTION AND METHODOLOGY TRAINING (PAMT)T32DA017629 · NIDA · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI Eric D Claus, Rina D Eiden · 2005 to 2026
$9.5M
National Insitutes on Drug Abuse P30CA225520National Insitutes on Drug Abuse P50DA039838NIDA NIH HHS P50 DA039838NIDA NIH HHS T32 DA017629Oklahoma Tobacco Settlement Endowment Trust STCST00400_FY25
6 · The paper itself

Abstract

backgroundAlcohol elimination rate is associated with acute alcohol consequences, yet it remains difficult to measure reliably in real-world settings. Wearable transdermal alcohol concentration (TAC) sensors provide a feasible option through passive, continuous monitoring of biological alcohol exposure. This facilitates precise testing of whether alcohol elimination rate predicts alcohol-related consequences in naturalistic environments. Additionally, a faster alcohol elimination rate may buffer or reduce the risk of alcohol-related consequences following high and/or rapid consumption.

methodTwo observational studies (Alcohol Habits Study [n = 222] and Project ACE [n = 79]), each using a different alcohol sensor, were used in this study. Participants of both studies were young adults from universities who frequently engaged in heavy episodic drinking. Alcohol-related consequences were collected through daily self-reports the morning after drinking days and included metrics across multiple domains such as physical symptoms, interpersonal conflict, safety risk, sexual risk, and miscellaneous. Alcohol elimination rate and other dynamics were extracted from TAC-positive trajectories for each day. Associations were tested using multilevel modeling.

resultsBoth studies showed that days with faster elimination rates were associated with more alcohol-related consequences, although statistical significance was observed only in Project ACE. In the Alcohol Habits Study, a significant day-level interaction indicated that the association between peak TAC and alcohol-related consequences was reduced on days with faster alcohol elimination rates. Similar findings emerged in Project ACE but did not reach significance. Both studies demonstrated the same pattern of conditional association: as the daily fall rate increased, the simple association between peak TAC and alcohol-related consequences diminished to the point of non-significance.

conclusionOur results provide novel evidence that alcohol elimination may have (a) an independent association with alcohol-related consequences in natural settings and (b) a buffering impact on the association between peak TAC and alcohol-related consequences. The results span two studies using two separate wearable sensors, supporting the validity of findings. Future research testing these associations in larger and more diverse samples is warranted.

Indexed as

Alcohol DrinkingAlcohol Drinking in CollegeEthanolSkinStudentsAdolescentFemaleHumansMaleUniversitiesWearable Electronic DevicesYoung AdultEthanolalcohol elimination ratealcohol‐related consequencesself‐reported drinkingtransdermal alcohol concentration (TAC) sensorsyoung adults

Identifiers

PMID42422987
PMCPMC13347275

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.