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Investigating dimensionality and measurement bias of DSM-5: alcohol use disorder in a representative sample of the largest metropolitan area in South America
dc.creator | Castaldelli-Maia, João Mauricio | |
dc.creator | Wang, Yuan-Pang | |
dc.creator | Borges, Guilherme | |
dc.creator | Silveira, Camila M. | |
dc.creator | Siu, Erica R. | |
dc.creator | Viana, Maria C. | |
dc.creator | Andrade, Arthur G. | |
dc.creator | Martins, Silvia S. | |
dc.creator | Andrade, Laura H. | |
dc.date.accessioned | 2017-06-29T03:55:12Z | |
dc.date.available | 2017-06-29T03:55:12Z | |
dc.date.issued | 2015 | es_ES |
dc.identifier | 2782 | es_ES |
dc.identifier.issn | 0376-8716 | es_ES |
dc.identifier.uri | http://repositorio.inprf.gob.mx/handle/123456789/4631 | |
dc.identifier.uri | https://doi.org/10.1016/j.drugalcdep.2015.04.024 | es_ES |
dc.identifier.uri | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4840018/ | es_ES |
dc.description.abstract | es_ES | |
dc.language.iso | eng | es_ES |
dc.publisher | Limerick : Elsevier | es_ES |
dc.relation | 152 () 123-130 p. | es_ES |
dc.relation | versión del editor | es_ES |
dc.rights | acceso cerrado | es_ES |
dc.subject.mesh | Adolescent | es_ES |
dc.subject.mesh | Adult | es_ES |
dc.subject.mesh | Age Factors | es_ES |
dc.subject.mesh | Alcoholism/classification | es_ES |
dc.subject.mesh | Alcoholism/epidemiology | es_ES |
dc.subject.mesh | Brazil/epidemiology | es_ES |
dc.subject.mesh | Diagnostic and Statistical Manual of Mental Disorders | es_ES |
dc.subject.mesh | Educational Status | es_ES |
dc.subject.mesh | Employment | es_ES |
dc.subject.mesh | Factor Analysis, Statistical | es_ES |
dc.subject.mesh | Female | es_ES |
dc.subject.mesh | Humans | es_ES |
dc.subject.mesh | Income | es_ES |
dc.subject.mesh | International Classification of Diseases | es_ES |
dc.subject.mesh | Male | es_ES |
dc.subject.mesh | Marital Status | es_ES |
dc.subject.mesh | Middle Aged | es_ES |
dc.subject.mesh | Reproducibility of Results | es_ES |
dc.subject.mesh | Sex Factors | es_ES |
dc.subject.mesh | Socioeconomic Factors | es_ES |
dc.subject.mesh | Urban Population | es_ES |
dc.subject.mesh | Young Adult | es_ES |
dc.title | Investigating dimensionality and measurement bias of DSM-5: alcohol use disorder in a representative sample of the largest metropolitan area in South America | es_ES |
dc.title.alternative | es_ES | |
dc.type | artículo | es_ES |
dc.contributor.affiliation | Section of Psychiatric Epidemiology - LIM 23, Department and Institute of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil, 05403 | es_ES |
dc.contributor.email | jmcmaia2@gmail.com | es_ES |
dc.relation.jnabreviado | DRUG ALCOHOL DEPEND | es_ES |
dc.relation.journal | Drug and Alcohol Dependence | es_ES |
dc.identifier.place | Irlanda | es_ES |
dc.date.published | 2015 | es_ES |
dc.identifier.organizacion | Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz | es_ES |
dc.identifier.eissn | 1879-0046 | es_ES |
dc.identifier.doi | 10.1016/j.drugalcdep.2015.04.024 | es_ES |
dc.description.month | Jul | es_ES |
dc.description.abstractotrodioma | Background—Given 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. sample. Methods—The current analyses were restricted to 948 subjects who endorsed drinking at least 1 drink per week in the past year from a sample of 5,037 individuals. Data came from São Paulo Megacity Project (which is part of World Mental Health Surveys) collected between 2005–2007. 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 criteria functioning (DCF) were investigated by sociodemographics (income, gender, age, employment status, marital status and education). All analyses were performed in Mplus software taking into account complex survey design features. Results—The 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. Conclusion—This 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. | es_ES |
dc.subject.meshm | es_ES | |
dc.subject.kw | es_ES | |
dc.subject.ko | DSM-5 | es_ES |
dc.subject.ko | Exploratory factor analysis | es_ES |
dc.subject.ko | Item response theory | es_ES |
dc.subject.ko | Differential item functioning | es_ES |
dc.subject.ko | Latin America | es_ES |
dc.subject.ko | Megacities | es_ES |
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