Evidence map›Paper›PMID 24440273›Full record

ArticleDrug and alcohol dependence2014

DSM-5 latent classes of alcohol users in a population-based sample: results from the São Paulo Megacity Mental Health Survey, Brazil.

João Mauricio Castaldelli-Maia, Camila M Silveira, Erica R Siu, Yuan-Pang Wang, Igor A Milhorança, Clóvis Alexandrino-Silva, Guilherme Borges, Maria C Viana, Arthur G Andrade, Laura H Andrade and 1 more

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 21 citations in OpenAlex.

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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

11 authors at 5 institutions in 3 countries.

João Mauricio Castaldelli-MaiaSection of Psychiatric Epidemiology - LIM 23, Department and Institute of Psychiatry, University of São Paulo Medical School, São Paulo 05403, Brazil; Interdisciplinary Group of Studies on Alcohol and Drugs, Department and Institute of Psychiatry, University of São Paulo Medical School, São Paulo, SP 05403, Brazil; Department of Neuroscience, Medical School, Fundação do ABC, Santo André, SP 09060, Brazil. Electronic address: jmcmaia2@gmail.com.
Camila M SilveiraSection of Psychiatric Epidemiology - LIM 23, Department and Institute of Psychiatry, University of São Paulo Medical School, São Paulo 05403, Brazil; Interdisciplinary Group of Studies on Alcohol and Drugs, Department and Institute of Psychiatry, University of São Paulo Medical School, São Paulo, SP 05403, Brazil.
Erica R SiuSection of Psychiatric Epidemiology - LIM 23, Department and Institute of Psychiatry, University of São Paulo Medical School, São Paulo 05403, Brazil.
Yuan-Pang WangSection of Psychiatric Epidemiology - LIM 23, Department and Institute of Psychiatry, University of São Paulo Medical School, São Paulo 05403, Brazil.
Igor A MilhorançaSection of Psychiatric Epidemiology - LIM 23, Department and Institute of Psychiatry, University of São Paulo Medical School, São Paulo 05403, Brazil.
Clóvis Alexandrino-SilvaSection of Psychiatric Epidemiology - LIM 23, Department and Institute of Psychiatry, University of São Paulo Medical School, São Paulo 05403, Brazil.
Guilherme BorgesNational Institute of Psychiatry and Metropolitan Autonomous University, Mexico City 14370, Mexico.
Maria C VianaDepartment of Social Medicine and Post-Graduate Program in Public Health, Federal University of Espírito Santo, Vitória, ES 29040, Brazil.
Arthur G AndradeInterdisciplinary Group of Studies on Alcohol and Drugs, Department and Institute of Psychiatry, University of São Paulo Medical School, São Paulo, SP 05403, Brazil; Department of Neuroscience, Medical School, Fundação do ABC, Santo André, SP 09060, Brazil.
Laura H AndradeSection of Psychiatric Epidemiology - LIM 23, Department and Institute of Psychiatry, University of São Paulo Medical School, São Paulo 05403, Brazil.
Silvia S MartinsDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY 10032, USA.
Universidade de São Paulo · BRColumbia University · USFundação do ABC · BRUniversidad Autónoma Metropolitana · MXUniversidade Federal do Espírito Santo · BR

Funding

Risk Factors for Psychopathology in the WHO WMH SurveysR01MH070884 · NIMH · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI KESSLER, RONALD C · 2005 to 2009
$6.0M
Predictors of Pathological Gambling among African-American Young AdultsR01HD060072 · NICHD · JOHNS HOPKINS UNIVERSITY · PI CANINO, GLORISA J, DUARTE, CRISTIANE S. · 2009 to 2018
$3.9M
Social Role Disability and Mental-Physical Co-MorbidityR01MH069864 · NIMH · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI VON KORFF, MICHAEL R · 2004 to 2007
$2.2M
CROSS-NATIONAL STUDIES OF DRUG INVOLVEMENT: WMH2000R01DA016558 · NIDA · MICHIGAN STATE UNIVERSITY · PI ANTHONY, JAMES CHRISTOPHER · 2003 to 2008
$1.7M
World Mental Health Consortium Annual Meeting 2003-07R13MH066849 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HEERINGA, STEVEN G · 2003 to 2007
$735k
Lebanon-Epidemiology: The NCS Replication StudyR03TW006481 · FIC · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI KESSLER, RONALD C · 2004 to 2006
$142k
FIC NIH HHS R03 TW006481FIC NIH HHS R03-TW006481NICHD NIH HHS 1R01HD060072NICHD NIH HHS R01 HD060072NIDA NIH HHS R01 DA016558NIMH NIH HHS R01 MH069864NIMH NIH HHS R01-MH069864NIMH NIH HHS R01 MH070884NIMH NIH HHS R01MH070884NIMH NIH HHS R13 MH066849NIMH NIH HHS R13-MH066849
6 · The paper itself

Abstract

backgroundWe aimed to identify different categorical phenotypes based upon the DSM-V criteria of alcohol use disorders (AUD) among alcohol users who had at least one drink per week in the past year (n=948).

methodsData are from the São Paulo Megacity Mental Health Survey collected in 2005-2007, as part of the World Mental Health Survey Initiative. A latent class analysis of the 11 DSM-5-AUD criteria was performed using Mplus, taking into account complex survey design features. Weighted logistic regression models were used to examine demographic correlates of the DSM-5-AUD latent classes.

resultsThe best latent-class model was a three-class model. We found a "non-symptomatic class" (69.7%), a "use in larger amounts class" (23.2%), defined by high probability (>70%) of the "use in larger amounts" criterion only, and a "high-moderate symptomatic class" (7.1%), defined by high-moderate probability of all the 11 AUD criteria. Compared to those in the non-symptomatic class, individuals in the "high-moderate symptomatic class" were more likely to have been married, have lower educational attainment and to be unemployed or in non-regular/informal employment. Those on the "use in larger amounts class" were more likely to have been married or never married.

conclusionThe two symptomatic classes clearly represented the dimensionality of the new proposed AUD criteria, and could be more specifically targeted by different prevention or treatment strategies. DSM-5-AUD has the advantage of shedding light on risky drinkers included in the "use in larger amounts class", allowing for preventive interventions, which will reach a large number of individuals.

Indexed as

AdolescentAdultAlcohol DrinkingAlcoholismBrazilData Interpretation, StatisticalDiagnostic and Statistical Manual of Mental DisordersEducational StatusFemaleHealth SurveysHumansMaleMental HealthMiddle AgedPrevalenceSocioeconomic FactorsAlcohol use disorders (AUD)BrazilDSM-5 criteriaLatent class analysisSão Paulo

Identifiers

PMID24440273
PMCPMC4943751
OpenAlexW1968042054

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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.