scholarly journals Structure of major depressive disorder in adolescents and adults in the US general population

2012 ◽  
Vol 201 (2) ◽  
pp. 143-150 ◽  
Author(s):  
Femke Lamers ◽  
Marcy Burstein ◽  
Jian-ping He ◽  
Shelli Avenevoli ◽  
Jules Angst ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Latent Class Analysis ◽  
Representative Sample ◽  
Latent Class ◽  
Longitudinal Research ◽  
Class Analysis ◽  
Major Depressive ◽  
National Comorbidity Survey ◽  
Nationally Representative

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.

scholarly journals Social determinants of hypertension and type-2 diabetes in Kenya: A latent class analysis of a nationally representative sample

PLoS ONE ◽  
2019 ◽  
Vol 14 (8) ◽  
pp. e0221257 ◽  
Author(s):  
Rahma S. Mkuu ◽  
Tamika D. Gilreath ◽  
Caroline Wekullo ◽  
Gabriela A. Reyes ◽  
Idethia S. Harvey
Keyword(s):  
Type 2 Diabetes ◽  
Latent Class Analysis ◽  
Social Determinants ◽  
Representative Sample ◽  
Latent Class ◽  
Class Analysis ◽  
Nationally Representative

scholarly journals Trajectories of somatic drug utilization patterns in Major Depressive Disorder: A Study protocol for a Danish nationwide register study using Latent Class Analysis

F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 1039
Author(s):  
Anne Marije Christina Overgaard Nielsen ◽  
Kristoffer Jarlov Jensen ◽  
Ramune Jacobsen ◽  
Pernille Herold Jeberg ◽  
Anna Birna Almarsdóttir ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Latent Class Analysis ◽  
Drug Utilization ◽  
Latent Class ◽  
Treatment Burden ◽  
Major Depressive ◽  
Utilization Patterns ◽  
Somatic Diseases ◽  
Over Time

Background: Major Depressive disorder (MDD) is a heterogeneous, multi-etiological disorder that is associated with chronic medical conditions and a high somatic treatment burden. A better understanding of the somatic diseases and treatment burden in MDD can be provided through a mapping of the somatic drug utilization patterns over time. The objective of this study is therefore to characterize the somatic drug profiles and their transitions over time (i.e. trajectories) among MDD patients.    Methods: This descriptive study will be a nationwide register-based study including all Danish patients with an incident MDD diagnosis between 2011 and 2015. Using Latent Class Analysis, we will identify homogenous MDD patient subgroups according to somatic drug utilization (i.e. drug profiles). The development in somatic drug profiles will be depicted in four different time intervals from three years prior to the MDD diagnosis to three years after the diagnosis. Patients will be assigned to the latent class (drug profile) to which they have the highest probability of belonging using modal assignment. The treatment trajectories will be performed by cross tabulating these assignments.  Discussion: Profiles and trajectories of somatic drug use will provide a new perspective on patterns of somatic drug burden in MDD patients. Moreover, identifying homogenous subgroups of MDD patients regarding somatic drug use can contribute to a deeper understanding of MDD etiology. In the future, this knowledge could help optimizing MDD treatment by studying if different antidepressants will show different efficacy and safety depending on the profiles and trajectories of somatic diseases.

Sign in / Sign up

Export Citation Format

Share Document