Evidence map›Paper›PMID 31816490›Full record

ArticleDrug and alcohol dependence2020

Capturing habitualness of drinking and smoking behavior in humans.

Lara A Ray, Han Du, Erica Grodin, Spencer Bujarski, Lindsay Meredith, Diana Ho, Steven Nieto, Kate Wassum

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  3. Common and unique latent transition analysis (CULTA) as a way to examine the trait-state dynamics of alcohol intoxication.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2025
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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

8 authors.

Lara A RayUniversity of California Los Angeles, Department of Psychology, Los Angeles, CA, USA; University of California, Los Angeles, Department of Psychiatry and Biobehavioral Sciences, Los Angeles, CA, USA; University of California Los Angeles, Brain Research Institute, Los Angeles, CA, USA. Electronic address: lararay@psych.ucla.edu.
Han DuUniversity of California Los Angeles, Department of Psychology, Los Angeles, CA, USA.
Erica GrodinUniversity of California Los Angeles, Department of Psychology, Los Angeles, CA, USA.
Spencer BujarskiUniversity of California Los Angeles, Department of Psychology, Los Angeles, CA, USA.
Lindsay MeredithUniversity of California Los Angeles, Department of Psychology, Los Angeles, CA, USA.
Diana HoUniversity of California Los Angeles, Department of Psychology, Los Angeles, CA, USA.
Steven NietoUniversity of California Los Angeles, Department of Psychology, Los Angeles, CA, USA.
Kate WassumUniversity of California Los Angeles, Department of Psychology, Los Angeles, CA, USA; University of California Los Angeles, Brain Research Institute, Los Angeles, CA, USA.

Funding

UCLA Training Program in Translational Neuroscience of Drug Abuse (TNDA)T32DA024635 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LARA A. RAY, Kate M Wassum · 2008 to 2026
$6.2M
Clinical Neuroscience of Alcoholism: Integrating Neuroscience and Clinical TrialsK24AA025704 · NIAAA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LARA A. RAY · 2018 to 2026
$1.3M
Modeling alcohol reward and reinforcement in the human laboratoryR21AA022752 · NIAAA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI RAY, LARA A. · 2014 to 2015
$399k
Elucidating the Effects of Neuroimmune Modulation on Neural Substrates of Alcohol Cue and Stress ReactivityF32AA027699 · NIAAA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GRODIN, ERICA N · 2019 to 2020
$103k
NIAAA NIH HHS F32 AA027699NIAAA NIH HHS K24 AA025704NIAAA NIH HHS R21 AA022752NIDA NIH HHS T32 DA024635
6 · The paper itself

Abstract

backgroundRecent findings suggest that overreliance on habit may be common in individuals diagnosed with addiction. To advance our understanding of habit in clinical samples and from behavioral measures, this study examines the interrelations between self-reported habit index for smoking and drinking as well as behavioral measures of intraindividual variability in smoking and drinking.

methodsTreatment-seeking heavy drinking smokers (N = 416) completed the Self-Report Habit Index (SRHI) adapted for both smoking and drinking. "Behavioral habitualness" was computed from the degree of intraindividual variability in patterns of smoking and drinking over the past month. Using the 28-day Timeline-Follow Back (TLFB) interview, we derived two measures of intraindividual variability: interclass correlation (ICC) and autocorrelation [AR(7) coefficients].

resultsSelf-report measures of habit were robustly associated with clinical severity of drinking and smoking with higher habit scores indicating greater severity of drinking and smoking, respectively. ICC and AR(7) coefficients, the behavioral measure of "patterness" and putative habit, were not associated with SRHI scores. While ICC for smoking was associated with higher nicotine dependence scores, this pattern was not found for drinking ICC and alcohol problem severity.

conclusionsThese results support the construct validity of the self-report measures of habit for smoking and drinking, as well an initial evaluation of behavioral measure of smoking "patterness" as a potential proxy for habit smoking. Because habit represents a complex phenotype with limited clinical translation, additional studies capturing a wider range of substance use severity and coupled with brain-based validation methods are warranted.

Indexed as

HabitsAdultAlcohol DrinkingCross-Sectional StudiesFemaleHumansMaleMiddle AgedSelf ReportSmokingTobacco SmokingAlcoholCigaretteDrinkingHabitHumanSmoking

Identifiers

PMID31816490
PMCPMC8063853

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.