Evidence map›Paper›PMID 30351364›Full record

ArticleAlcohol and alcoholism (Oxford, Oxfordshire)2019

Dynamic Features of Problematic Drinking: Alcohol Use Disorder Latent Classes Across Ages 18-64.

Ashley N Linden-Carmichael, John J Dziak, Stephanie T Lanza

Abstract read
In one paragraph

Article in Alcohol and alcoholism (Oxford, Oxfordshire), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
  2. Classification of Alcohol Use Disorder With Explainable AI.Alcohol, clinical & experimental research · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Neuropsychological latent classes at enrollment and postmortem neuropathology.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2019
    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.

Ashley N Linden-CarmichaelDepartment of Biobehavioral Health and the Edna Bennett Pierce Prevention Research Center, The Pennsylvania State University, 314 Biobehavioral Health, University Park, PA, USA.
John J DziakThe Methodology Center, The Pennsylvania State University, 408 Health and Human Development Building, University Park, PA, USA.
Stephanie T LanzaDepartment of Biobehavioral Health and the Edna Bennett Pierce Prevention Research Center, The Pennsylvania State University, 314 Biobehavioral Health, University Park, PA, USA.

Funding

Pilot, Mentoring, and Professional Development CoreP50DA039838 · NIDA · PENNSYLVANIA STATE UNIVERSITY, THE · PI LI, RUNZE · 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

aimsAlcohol use disorders (AUDs) are linked with numerous severe detrimental outcomes. Evidence suggests that there is a typology of individuals with an AUD based on the symptoms they report. Scant research has identified how these groups may vary in prevalence by age, which could highlight aspects of problematic drinking behavior that are particularly salient at different ages. Our study aimed to (a) identify latent classes of drinkers with AUD that differ based on symptoms of AUD and (b) examine prevalences of latent classes by age. SHORT SUMMARY: Our findings advocate for personalized treatment approaches for AUD and highlight the need for carefully considering the role of age in prevention and intervention efforts.

methodsWe used data from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC-III). Current drinkers aged 18-64 who met criteria for a past-year AUD were included (n = 5402).

resultsLatent class analysis (LCA) based on 11 AUD criteria revealed 5 classes: 'Alcohol-Induced Injury' (25%), 'Highly Problematic, Low Perceived Life Interference' (21%), 'Adverse Effects Only' (34%), 'Difficulty Cutting Back' (13%) and 'Highly Problematic' (7%). Using time-varying effect modeling (TVEM), each class was found to vary in prevalence across age. The Adverse Effects Only and Highly Problematic, Low Perceived Life Interference classes were particularly prevalent among younger adults, and the Difficulty Cutting Back and Alcohol-Induced Injury classes were more prevalent as age increased.

conclusionsFindings suggest that experience of AUD is not only heterogeneous in nature but also that the prevalence of these subgroups vary across age.

Indexed as

Latent Class AnalysisAdolescentAdultAlcohol DrinkingAlcoholismCohort StudiesCross-Sectional StudiesFemaleHumansMaleMiddle AgedSelf ReportYoung Adult

Identifiers

PMID30351364
PMCPMC6324653

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.