scholarly journals Empirically Based Classification of Peer Violence in a Nationally Representative Sample of Adolescents: a Latent Class Analysis

Author(s):  
Dóra E. Várnai ◽  
Zsolt Horváth ◽  
Éva Jármi ◽  
Róbert Urbán ◽  
Zsolt Demetrovics ◽  
...  
PLoS ONE ◽  
2019 ◽  
Vol 14 (8) ◽  
pp. e0221257 ◽  
Author(s):  
Rahma S. Mkuu ◽  
Tamika D. Gilreath ◽  
Caroline Wekullo ◽  
Gabriela A. Reyes ◽  
Idethia S. Harvey

2012 ◽  
Vol 201 (2) ◽  
pp. 143-150 ◽  
Author(s):  
Femke Lamers ◽  
Marcy Burstein ◽  
Jian-ping He ◽  
Shelli Avenevoli ◽  
Jules Angst ◽  
...  

BackgroundAlthough techniques such as latent class analysis have been used to derive empirically based subtypes of depression in adult samples, there is limited information on subtypes of depression in youth.AimsTo identify empirically based subtypes of depression in a nationally representative sample of US adolescents, and to test the comparability of subtypes of depression in adolescents with those derived from a nationally representative sample of adults.MethodRespondents included 912 adolescents and 805 adults with a 12-month major depressive disorder, selected from the National Comorbidity Survey Adolescent Supplement and the National Comorbidity Survey Replication samples respectively. Latent class analysis was used to identify subtypes of depression across samples. Sociodemographic and clinical correlates of derived subtypes were also examined to establish their validity.ResultsThree subtypes of depression were identified among adolescents, whereas four subtypes were identified among adults. Two of these subtypes displayed similar diagnostic profiles across adolescent and adult samples (P=0.43); these subtypes were labelled ‘severe typical’ (adults 45%, adolescents 35%) and ‘atypical’ (adults 16%, adolescents 26%). The latter subtype was characterised by increased appetite and weight gain.ConclusionsThe structure of depression observed in adolescents is highly similar to the structure observed in adults. Longitudinal research is necessary to evaluate the stability of these subtypes of depression across development.


2006 ◽  
Vol 12 (5) ◽  
pp. 565-572 ◽  
Author(s):  
J NP Zwemmer ◽  
J Berkhof ◽  
J A Castelijns ◽  
F Barkhof ◽  
C H Polman ◽  
...  

Background Disease heterogeneity is a major issue in multiple sclerosis (MS). Classification of MS patients is usually based on clinical characteristics. More recently, a pathological classification has been presented. While clinical subtypes differ by magnetic resonance imaging (MRI) signature on a group level, a classification of individual MS patients based purely on MRI characteristics has not been presented so far. Objectives To investigate whether a restricted classification of MS patients can be made based on a combination of quantitative and qualitative MRI characteristics and to test whether the resulting subgroups are associated with clinical and laboratory characteristics. Methods MRI examinations of the brain and spinal cord of 50 patients were scored for 21 quantitative and qualitative characteristics. Using latent class analysis, subgroups were identified, for whom disease characteristics and laboratory measures were compared. Results Latent class analysis revealed two subgroups that mainly differed in the extent of lesion confluency and MRI correlates of neuronal loss in the brain. Demographics and disease characteristics were comparable except for cognitive deficits. No correlations with laboratory measures were found. Conclusions Latent class analysis offers a feasible approach for classifying subgroups of MS patients based on the presence of MRI characteristics. The reproducibility, longitudinal evolution and further clinical or prognostic relevance of the observed classification will have to be explored in a larger and independent sample of patients.


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