Evidence map›Paper›PMID 26002376›Full record

ArticleDrug and alcohol dependence2015

Investigating dimensionality and measurement bias of DSM-5 alcohol use disorder in a representative sample of the largest metropolitan area in South America.

João Mauricio Castaldelli-Maia, Yuan-Pang Wang, Guilherme Borges, Camila M Silveira, Erica R Siu, Maria C Viana, Arthur G Andrade, Silvia S Martins, Laura H Andrade

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In one paragraph

Article in Drug and alcohol dependence, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Review
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

9 authors.

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 05403, Brazil; Department of Neuroscience, Medical School, Fundação do ABC, Santo André, SP 09060, Brazil. Electronic address: jmcmaia2@gmail.com.
Yuan-Pang WangSection 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.
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 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.
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 05403, Brazil; Department of Neuroscience, Medical School, Fundação do ABC, Santo André, SP 09060, Brazil.
Silvia S MartinsDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY 10032, USA.
Laura H AndradeSection of Psychiatric Epidemiology - LIM 23, Department and Institute of Psychiatry, University of São Paulo Medical School, São Paulo 05403, Brazil.

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
Drug Dependence Epidemiology and EnviromicsK05DA015799 · NIDA · MICHIGAN STATE UNIVERSITY · PI ANTHONY, JAMES CHRISTOPHER · 2003 to 2015
$1.4M
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 R01 HD060072NIDA NIH HHS K05 DA015799NIDA NIH HHS R01 DA016558NIDA NIH HHS R01DA016558NIMH 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

backgroundGiven the recent launch of a new diagnostic classification (DSM-5) for alcohol use disorders (AUD), we aimed to investigate its dimensionality and possible measurement bias in a non-U.S.

methodsThe current analyses were restricted to 948 subjects who endorsed drinking at least one drink per week in the past year from a sample of 5037 individuals. Data came from São Paulo Megacity Project (which is part of World Mental Health Surveys) collected between 2005 and 2007. First, exploratory factor analysis (EFA) was carried out to test for the best dimensional structure for DSM-5-AUD criteria. Then, item response theory (IRT) was used to investigate the severity and discrimination properties of each criterion of DSM-5-AUD. Finally, differential criterion functioning (DCF) were investigated by socio-demographics (income, gender, age, employment status, marital status and education). All analyses were performed in Mplus software taking into account complex survey design features.

resultsThe best EFA model was a one-dimensional model. IRT results showed that the criteria "Time Spent" and "Given Up" have the highest discrimination and severity properties, while the criterion "Larger/Longer" had the lowest value of severity, but an average value of discrimination. Only female gender had DCF both at criterion- and factor-level, rendering measurement bias.

conclusionThis study reinforces the existence of a DSM-5-AUD continuum in the largest metropolitan area of South America, including subgroups that had previously higher rates of alcohol use (lower educational/income levels). Lower DSM-5-AUD scores were found in women.

Indexed as

Diagnostic and Statistical Manual of Mental DisordersAdolescentAdultAge FactorsAlcoholismBrazilEducational StatusEmploymentFactor Analysis, StatisticalFemaleHumansIncomeInternational Classification of DiseasesMaleMarital StatusMiddle AgedDifferential item functioningDSM-5Exploratory factor analysisItem response theoryLatin AmericaMegacities

Identifiers

PMID26002376
PMCPMC4840018

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