A comparative latent class analysis of endorsement profiles of DSM-IV diagnostic criteria for problem gambling among adolescents from a community and a treatment sample

2011 ◽  
Vol 19 (4) ◽  
pp. 323-333 ◽  
Author(s):  
Neda Faregh ◽  
Jeffrey Derevensky
Keyword(s):  
Problem Gambling ◽  
Latent Class Analysis ◽  
Diagnostic Criteria ◽  
Latent Class ◽  
Class Analysis ◽  
Dsm Iv

Diagnostic criteria for depression in Parkinson's disease: A study of symptom patterns using latent class analysis

2011 ◽  
Vol 26 (12) ◽  
pp. 2239-2245 ◽  
Author(s):  
Sergio Starkstein ◽  
Milan Dragovic ◽  
Ricardo Jorge ◽  
Simone Brockman ◽  
Marcelo Merello ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Latent Class Analysis ◽  
Diagnostic Criteria ◽  
Latent Class ◽  
Class Analysis ◽  
Symptom Patterns

Factor and Latent Class Analysis of DSM-IV ADHD Symptoms in a School Sample of Brazilian Adolescents

2001 ◽  
Vol 40 (6) ◽  
pp. 711-718 ◽  
Author(s):  
LUIS A. ROHDE ◽  
GENÁRIO BARBOSA ◽  
GUILHERME POLANCZYK ◽  
MARIANA EIZIRIK ◽  
ERIK R. RASMUSSEN ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Class Analysis ◽  
Adhd Symptoms ◽  
School Sample ◽  
Dsm Iv

scholarly journals Comparison of the accuracy of three diagnostic criteria and estimating the prevalence of metabolic syndrome: A latent class analysis

2019 ◽  
Vol 24 (1) ◽  
pp. 108 ◽  
Author(s):  
Akbar Fotouhi ◽  
Hossein Ebrahimi ◽  
MohammadHassan Emamian ◽  
Ahmad Khosravi ◽  
Hassan Hashemi
Keyword(s):  
Metabolic Syndrome ◽  
Latent Class Analysis ◽  
Diagnostic Criteria ◽  
Latent Class ◽  
Class Analysis

scholarly journals Empirical foundations for the diagnosis of somatization: implications for DSM-5

2010 ◽  
Vol 41 (6) ◽  
pp. 1133-1142 ◽  
Author(s):  
J. G. M. Rosmalen ◽  
L. M. Tak ◽  
P. de Jonge
Keyword(s):  
Latent Class Analysis ◽  
Predictive Value ◽  
Latent Class ◽  
Large Population ◽  
Symptom Clusters ◽  
Class Analysis ◽  
Functional Symptoms ◽  
Organ Systems ◽  
Dsm Iv ◽  
Representative Cohort

BackgroundThe aim of this study was to develop empirically validated criteria for the diagnoses of clinically relevant somatization.MethodThis study was performed in a population-representative cohort consisting of 461 males (47.8%) and 503 females (52.2%), with an average age of 55.8 years (s.d.=11.1). Somatization, anxiety and depression were derived from the Composite International Diagnostic Interview. Mplus was used to perform confirmative factor analyses on the current DSM-IV symptom groups; on alternative symptom clusters previously suggested; and to perform latent class analysis in order to define an empirically derived cut-off for somatization.ResultsThe existence of symptom groups as described in DSM-IV was not supported by our data, whereas a differentiation between cardiopulmonary, musculoskeletal, gastrointestinal and general somatic symptoms did fit our data. Latent class analysis revealed two classes characterized by few (n=859) and many (n=105) symptoms. The class of subjects could be approached by a simple cut-off of four functional symptoms (sensitivity 79%, specificity 98%, positive predictive value 82%, negative predictive value 97%) regardless of the number of organ systems involved.ConclusionsThis study in a large population-representative cohort suggests that a simple symptom count can be used as a dimensional diagnosis of somatization. In those instances in which a categorical diagnosis is preferred, a simple cut-off of four out of 43 functional symptoms best fitted our data. We did not find any added value for incorporating the number of symptom clusters into the diagnostic criteria.

scholarly journals A Latent Class Analysis of DSM-IV and Fagerstrom (FTND) Criteria for Nicotine Dependence

2011 ◽  
Vol 13 (10) ◽  
pp. 972-981 ◽  
Author(s):  
A. Agrawal ◽  
J. F. Scherrer ◽  
M. L. Pergadia ◽  
M. T. Lynskey ◽  
P. A. F. Madden ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Nicotine Dependence ◽  
Latent Class ◽  
Class Analysis ◽  
Dsm Iv

scholarly journals A validation of the Cannabis Abuse Screening Test (CAST) using a latent class analysis of the DSM-IV among adolescents

2013 ◽  
Vol 22 (1) ◽  
pp. 16-26 ◽  
Author(s):  
Stéphane Legleye ◽  
Daniela Piontek ◽  
Ludwig Kraus ◽  
Elisabeth Morand ◽  
Bruno Falissard
Keyword(s):  
Latent Class Analysis ◽  
Screening Test ◽  
Latent Class ◽  
Class Analysis ◽  
Cannabis Abuse ◽  
Dsm Iv
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