Evidence map›Paper›PMID 30639230›Full record

ArticleAddictive behaviors2019

Mediation analysis with binary outcomes: Direct and indirect effects of pro-alcohol influences on alcohol use disorders.

Alan Feingold, David P MacKinnon, Deborah M Capaldi

Open access · greenAbstract read
In one paragraph

Article in Addictive behaviors, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
5.1field-weighted citation impact, top 4% of its field
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

20 citing papers in PubMed, 37 citations in OpenAlex.

  1. Evaluating Treatment Mechanisms of Varenicline: Mediation by Affect and Craving.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022
    Trial
  2. Differential mechanisms of change in motivational interviewing versus health education for smoking cessation induction.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2021
    Trial
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  5. Mediating Role of Physical Activity on Associations Between Neighborhood Environments and Mental Health in China.Journal of urban health : bulletin of the New York Academy of Medicine · 2025
    Article
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  12. Air Pollution Impairs Subjective Happiness by Damaging Their Health.International journal of environmental research and public health · 2021
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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 at 2 institutions in 1 country.

Alan FeingoldOregon Social Learning Center, Eugene, OR, United States. Electronic address: alanf@oslc.org.
David P MacKinnonArizona State University, USA.
Deborah M CapaldiOregon Social Learning Center, Eugene, OR, United States.
Oregon Social Learning Center · USArizona State University · US

Funding

Estimating Mediation Effects in Prevention StudiesR37DA009757 · NIDA · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI MACKINNON, DAVID P · 2015 to 2024
$3.5M
Practical Significance of Effects from Growth Modeling of Alcohol Use DataR01AA025069 · NIAAA · OREGON SOCIAL LEARNING CENTER, INC. · PI FEINGOLD, ALAN J. · 2017 to 2019
$946k
NIAAA NIH HHS R01 AA025069NIDA NIH HHS R37 DA009757
6 · The paper itself

Abstract

A risk factor or intervention (an independent variable) may influence a substance abuse outcome (the dependent variable) indirectly, by affecting an intervening variable (a mediator) that in turn affects that outcome. Mediation analysis is a statistical method commonly used to examine the interrelations among independent, mediating, and dependent variables to obtain the direct and indirect effects of an independent variable on a continuous dependent variable. However, mediation analysis may also be used with binary outcomes, such as a diagnosis of an alcohol use disorder (AUD). Study 1 demonstrated methods of mediation analysis with binary outcomes by examining the direct and indirect effects of pro-alcohol social influences on an AUD, as a function of: (a) the distribution of the independent variable (binary vs. continuous), (b) the frequency of the outcome (non-rare vs. rare), and (c) the effect metric (probability vs. odds ratio). Study 2 was a Monte Carlo (simulation) study of bias in the indirect effects based on estimates from the first study. These methods have wide applicability in addictions research because many key outcomes are binary, and mediation analysis is frequently used to study the causal mechanisms by which interventions and risk factors affect substance abuse.

Indexed as

BiasCausalityData Interpretation, StatisticalModels, StatisticalAdolescentAdultAlcoholismChildFemaleHumansMaleMonte Carlo MethodOdds RatioProbabilityRisk FactorsSocial EnvironmentAlcohol use disordersMediationOdds ratiosSubstance abuse

Identifiers

PMID30639230
PMCPMC6544488
OpenAlexW2905318191

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.