Evidence map›Paper›PMID 34295966›Full record

ArticlePolicy insights from the behavioral and brain sciences2019

Decision Making and Alcohol: Health Policy Implications.

Clintin P Davis-Stober, Kayleigh N McCarty, Denis M McCarthy

Abstract read
In one paragraph

Article in Policy insights from the behavioral and brain sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Using mobile technology to influence alcohol-impaired driving risk perceptions and decisions.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2024
    Trial
  2. Article
  3. Article
  4. Article
  5. Decision strategies while intoxicated relate to alcohol-impaired driving attitudes and intentions.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2022
    Article
  6. Article
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

3 authors.

Clintin P Davis-StoberUniversity of Missouri, Columbia, MO.
Kayleigh N McCartyUniversity of Missouri, Columbia, MO.
Denis M McCarthyUniversity of Missouri, Columbia, MO.

Funding

Risk for Alcohol Impaired Driving: From the Laboratory to the Natural EnvironmentR01AA019546 · NIAAA · UNIVERSITY OF MISSOURI-COLUMBIA · PI MCCARTHY, DENIS M · 2010 to 2021
$4.3M
Advanced Mathematical Modeling of Decision Making in Alcohol ResearchK25AA024182 · NIAAA · UNIVERSITY OF MISSOURI-COLUMBIA · PI DAVIS-STOBER, CLINTIN PHILIP · 2016 to 2019
$590k
Neural correlates of decision making under risk and substance misuseF31AA026207 · NIAAA · UNIVERSITY OF MISSOURI-COLUMBIA · PI MCCARTY, KAYLEIGH N. · 2018 to 2019
$88k
NIAAA NIH HHS F31 AA026207NIAAA NIH HHS K25 AA024182NIAAA NIH HHS R01 AA019546
6 · The paper itself

Abstract

Many negative outcomes associated with alcohol consumption stem from individual decision making, such as the decision whether or not to drive after drinking. Understanding biases in decision making as they relate to alcohol, and measuring variability in decision strategies across individuals, can be a tool for improving policy. For alcohol-related policy, both addiction and the acute effects of intoxication are potential sources of bias or heterogeneity in decision strategy, and we provide a brief primer on how they can affect decision making. We then discuss two alcohol policy domains, alcohol impaired driving and excessive consumption. We review potential implications of major findings in decision making research for each of these domains, and point out how policy could take account of biases and variability in decision making.

Indexed as

Alcohol IntoxicationDecision MakingHealth PolicyRisk

Identifiers

PMID34295966
PMCPMC8294170

What OpenQuestion holds

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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.