Evidence map›Paper›PMID 29671683›Full record

ArticleSubstance use & misuse2018

Drinking Patterns of College- and Non-College-Attending Young Adults: Is High-Intensity Drinking Only a College Phenomenon?

Ashley N Linden-Carmichael, Stephanie T Lanza

Abstract read
In one paragraph

Article in Substance use & misuse, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Trial
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  4. Observational
  5. Pregaming promotes risky drinking patterns and alcohol-induced blackouts: A day-level study among young adults who report high-intensity drinking.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2026
    Article
  6. Review
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  8. Reward deprivation is associated with elevated alcohol demand in emerging adults.Journal of the experimental analysis of behavior · 2025
    Article
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  19. Measurement invariance of the Young Adult Alcohol Consequences Questionnaire across college status, race, and childhood SES in a diverse community sample.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2022
    Article
  20. Stress and Affect as Daily Risk Factors for Substance Use Patterns: an Application of Latent Class Analysis for Daily Diary Data.Prevention science : the official journal of the Society for Prevention Research · 2022
    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

2 authors.

Ashley N Linden-Carmichaela Department of Biobehavioral Health and The Edna Bennett Pierce Prevention Research Center , The Pennsylvania State University , University Park , Pennsylvania , USA.
Stephanie T Lanzaa Department of Biobehavioral Health and The Edna Bennett Pierce Prevention Research Center , The Pennsylvania State University , University Park , Pennsylvania , USA.

Funding

Pilot, Mentoring, and Professional Development CoreP50DA039838 · NIDA · PENNSYLVANIA STATE UNIVERSITY, THE · PI COLLINS, LINDA M · 2015 to 2019
$13.9M
Age-Varying Effects in the Epidemiology of Drug AbuseR01DA039854 · NIDA · PENNSYLVANIA STATE UNIVERSITY, THE · PI LANZA, STEPHANIE T · 2015 to 2017
$676k
NIDA NIH HHS P50 DA039838NIDA NIH HHS R01 DA039854
6 · The paper itself

Abstract

backgroundYoung adults report the heaviest drinking of any age group, and many are at risk for experiencing an alcohol use disorder. Most research investigating young adult drinking has focused on single indicators of use. Using multiple dimensions of consumption, such as federal guidelines for daily/weekly drinking and engagement in drinking at twice the binge threshold ("high-intensity drinking") to characterize drinking behavior could illuminate drinking patterns linked with harms.

objectivesWe used a person-centered approach to examine latent classes of drinkers from a national sample of young adults. Further, we compared classes on college status.

methodsWe used 2012-2013 data from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC)-III. We included past-year drinkers aged 18-22 years (n = 2213). Latent classes were estimated based on drinking frequency, daily/weekly drinking, frequency of heavy episodic drinking (4+/5+ drinks for women/men), frequency of high-intensity drinking (8+/10+ drinks), and intoxication frequency.

resultsFive latent classes were identified: Occasional, Light Drinkers (30%), Regular Drinkers (6%), Infrequent Drinkers with Occasional Binging (10%), Frequent Drinkers with Occasional Binging (22%), and High-Intensity Drinkers (32%). Although membership in the two riskiest classes were more common among college-attenders, odds of being a High-Intensity Drinker relative to the second riskiest class was not significantly different for college- and non-college-attending young adults. Conclusions/Importance: As high-intensity drinking does not appear to be a drinking pattern unique to college-attenders and non-college-attenders are less likely to mature out of heavy drinking patterns, intervention efforts are needed for this at-risk age group.

Indexed as

Alcohol Drinking in CollegeAdolescentAdultAlcohol DrinkingAlcoholic IntoxicationAlcoholismBinge DrinkingFemaleHumansLatent Class AnalysisMaleRisk FactorsSelf ReportStudentsUnited StatesYoung Adultcollegedrinking patternshigh-intensity drinkinglatent class analysisnon-collegeYoung adults

Identifiers

PMID29671683
PMCPMC6105386

What OpenQuestion holds

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Registered trials

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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.