Evidence map›Paper›PMID 42703700›Full record

ArticleJournal of the experimental analysis of behavior2026

Daily assessments of behavioral economic indices and drinking among rural-residing adults with at-risk drinking.

Devin C Tomlinson, Erin E Bonar, Maureen A Walton, Lewei A Lin, Inbal Nahum-Shani, Mary Jannausch, Lara N Coughlin

Abstract read
In one paragraph

Article in Journal of the experimental analysis of behavior, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Devin C TomlinsonAddiction Center, Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA.ORCID https://orcid.org/0000-0002-8246-6060
Erin E BonarAddiction Center, Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
Maureen A WaltonAddiction Center, Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
Lewei A LinAddiction Center, Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
Inbal Nahum-ShaniInstitute for Social Research, University of Michigan, Ann Arbor, MI, United States.
Mary JannauschAddiction Center, Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
Lara N CoughlinAddiction Center, Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA.

Funding

MULTIDISCIPLINARY ALCOHOLISM RESEARCH TRAINING PROGRAMT32AA007477 · NIAAA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Maureen A. Walton · 1990 to 2026
$7.4M
Optimizing mobile behavioral economic interventions for rural risky drinkersK23AA028232 · NIAAA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI COUGHLIN, LARA NICOLE · 2020 to 2024
$983k
NIAAA NIH HHS K23 AA028232NIAAA NIH HHS K23AA028232NIAAA NIH HHS T32 AA007477NIAAA NIH HHS T32AA007477
6 · The paper itself

Abstract

In a secondary analysis among adults with at-risk drinking who live in rural areas (N = 75; 62.7% Female; 98.7% White), we examined the predictive ability of behavioral economic (BE) indices (demand, delay discounting, and proportion of alcohol-free activities) for next-day alcohol use via daily surveys across the range of alcohol use severity. These relations were tested using linear mixed-effects models, including evaluating the interaction of BE indices with alcohol use severity. In unadjusted analyses, proportion of alcohol-free activities (β [95% CI]: -0.022 [-0.038, -0.006]), demand intensity (i.e., drinks when free; β [95% CI]: 0.267 [0.143, 0.391]), and maximum expenditure (Omax, β [95% CI]: 0.036 [0.014, 0.059]) were significant predictors of next-day alcoholic drinks consumed. In adjusted analyses, we observed a significant interaction between baseline alcohol use severity and intensity of alcohol demand (β [95% CI]: -0.014 [-0.027, -0.001]) and Omax (β [95% CI]: 0.005 [0.000, 0.010]) wherein there was a stronger relations between the BE measure and next-day drinking among lower and higher alcohol use severities, respectively. These results support the inclusion of BE measures in daily survey research to support digital and potentially just-in-time adaptive interventions.

Indexed as

Alcohol DrinkingEconomics, BehavioralRural PopulationAdultDelay DiscountingFemaleHumansMaleMiddle AgedYoung Adultalcoholalcohol‐free activitiesdaily surveysdelay discountingdemand

Identifiers

PMID42703700
PMCPMC13548064

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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.