Evidence map›Paper›PMID 32438281›Full record

ArticleDrug and alcohol dependence2020

A latent class analysis of heavy substance use in Young adulthood and impacts on physical, cognitive, and mental health outcomes in middle age.

Megan E Patrick, Patricia A Berglund, Spruha Joshi, Bethany C Bray

Open access · greenAbstract 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 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

26 citing papers in PubMed, 31 citations in OpenAlex.

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  6. Cannabis and Tobacco Product Use Classes and Psychosocial Correlates Among US Young Adults.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
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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

4 authors at 3 institutions in 1 country.

Megan E PatrickUniversity of Minnesota, Institute for Translational Research in Children's Mental Health and Institute of Child Development, 1100 Washington Avenue South, Suite 101, Minneapolis, MN 55415, USA. Electronic address: mpatrick@umn.edu.
Patricia A BerglundThe University of Michigan, Institute for Social Research, P.O. Box 1248, 426 Thompson Street, Ann Arbor, MI 48106, USA.
Spruha JoshiUniversity of Minnesota, School of Public Health, Division of Epidemiology and Community Health, 300 West Bank Office Building, 1300 South 2nd Street, Minneapolis, MN 55454, USA.
Bethany C BrayThe University of Illinois at Chicago, Center for Dissemination and Implementation Science, Room 302 SRH, M/C 579, 818 South Wolcott Avenue, Chicago, IL 60612, USA.
University of Minnesota · USUniversity of Illinois Chicago · USUniversity of Michigan–Ann Arbor · US

Funding

Monitoring the Future: Drug Use & Lifestyles of American Youth (Supp1: Nicotine Pouch and E-cigarette Use Among US Adolescents: National Estimates of Brand Use and Flavor Preferences)R01DA001411 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Richard A Miech · 1985 to 2026
$144.9M
Monitoring the Future: A Cohort-Sequential Panel Study of Drug Use, Ages 19-65 - Diversity Supplement (Solberg)R01DA016575 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Megan E. Patrick · 2003 to 2026
$44.6M
Pilot, Mentoring, and Professional Development CoreP50DA039838 · NIDA · PENNSYLVANIA STATE UNIVERSITY, THE · PI LI, RUNZE · 2015 to 2019
$13.9M
Dynamic Links Between Risk Factors, Substance Use, and Consequences: Ages 18-35R01DA037902 · NIDA · UNIVERSITY OF MINNESOTA · PI PATRICK, MEGAN E. · 2015 to 2018
$1.5M
NIDA NIH HHS P50 DA039838NIDA NIH HHS R01 DA001411NIDA NIH HHS R01 DA016575NIDA NIH HHS R01 DA037902
6 · The paper itself

Abstract

backgroundThis study examines whether longitudinal patterns of persistent or experimental heavy substance use across young adulthood were associated with physical and mental health in midlife.

methodsData (N = 21,347) from Monitoring the Future from adolescence (age 18) to midlife (age 40) were used. Repeated measures latent class analysis modeled patterns of patterns of cigarettes, alcohol, marijuana, and other illicit drugs across young adulthood (ages 18-30). Latent classes were then used as predictors of physical health problems, cognitive problems, self-rated health, and psychological problems in midlife (age 40), while controlling for sociodemographic variables (i.e., gender, race/ethnicity, parental education).

resultsIdentified classes were "Extreme Heavy Users" (3.9%), "Early Young Adult Users" (8.9%), "Cigarette Smokers" (9.2%), "All But Cigarette Smokers" (5.0%), "Frequent Alcohol Bingers" (10.4%), and "Not-Heavy Users" (62.6%). Extreme Heavy Users, Early Young Adult Users, and Cigarette Smokers had significantly poorer overall health based on a number of physical conditions and self-rated health. Extreme Heavy Users, Early Young Adult Users, Cigarette Smokers, and All But Cigarette Smokers had more cognitive problems than other classes. Extreme Heavy Users, Early Young Adult Users, Cigarette Smokers, and All But Cigarette Smokers were more likely to see a health professional for a psychological problem.

conclusionsPatterns of heavy substance use were associated with health across decades. Regular cigarette smokers and heavy users across substances and ages had the worst health in midlife, although even those with time-limited use during young adulthood were at risk for later physical and cognitive health problems.

Indexed as

Latent Class AnalysisAdolescentAdultCigarette SmokingCognitionFemaleHumansIllicit DrugsLongitudinal StudiesMaleMental HealthPhysical FitnessSubstance-Related DisordersYoung AdultIllicit DrugsDistal outcomeHealth outcomesHeavy substance useLatent class analysisMiddle ageYoung adulthood

Identifiers

PMID32438281
PMCPMC7293917
OpenAlexW3020292726

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.