PIPages
Labs

Michael Arthur Russell

Pennsylvania State University, PA·Public Health & Epidemiology

Heavy drinking among young adults causes thousands of assaults, injuries and deaths each year, and about 13% of people this age meet criteria for alcohol use disorder (AUD), a condition whose problems often last into midlife. Studying these risks depends on measuring how much people drink.

Fields

Public Health & Epidemiology

Psychology

Topics

alcohol use disorder

heavy episodic drinking

binge drinking

Grants
1 known grant, through May 2029

What they work on

  1. Test whether TAC sensor features, namely rise rate, peak and rise duration of each day's alcohol curve, predict alcohol-related consequences on individual drinking days, compared with EMA phone self-reports, in 500 young adults.
  2. Test whether TAC features predict alcohol use disorder, diagnosed with DSM criteria at baseline, 12 and 24 months, better than self-reported drinking does, using eight 14-day measurement bursts over two years.
  3. Produce generalizable estimates of how strongly TAC features relate to drinking outcomes, using a large, long-term multimodal study of heavy-drinking young adults aged 19–22.

More about the research

Most studies ask people to count their own drinks, but those counts may be least accurate on the heaviest nights. In the team's pilot work, 70% of participants reported blackouts over 12 weekend days, and blackouts happened on about one in three drinking days.

Why it matters

Wearable alcohol sensors could give clinicians and researchers a more accurate picture of risky drinking than drink counts alone, especially on nights when memory fails. If sensor features predict injuries, other harmful consequences and the later onset of alcohol use disorder, they could help identify which college and non-college young adults are at highest risk and would benefit most from prevention.

Known grants

From NIH and NSF research grants. Labs often have other funding we can't see.

A prospective examination of TAC features as predictors of consequences and alcohol use disorders

NIH · Sep 2024 – May 2029

Closest labs

Kimberly Mallett

Pennsylvania State University, PA·Psychology

Assess the feasibility of adding personalized transdermal alcohol concentration (TAC) feedback, based on wearable skin sensors that track alcohol levels, to the eCHECKUP TO GO intervention for high-risk college drinkers.

Andre Miguel

Washington State University, WA·Medicine & Clinical Research

Test whether rural smokers with alcohol use disorder who receive varenicline plus app-based contingency management submit more breathalyzer samples showing alcohol abstinence and non-heavy drinking days than those using a control app.

Cecilia Hinojosa

University of New Mexico, NM·Neuroscience·Early-career

Define sex differences in reward-related brain circuitry, including the striatum, that relate to alcohol craving and drinking in trauma-exposed women and men, using functional neuroimaging.

The school

Pennsylvania State University: 60 labs on PI Pages, $1.3B a year on research, 743 research doctorates a year.

More about Pennsylvania State University

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