Cumulative risk, factor analysis, and latent class analysis of childhood adversity data in a nationally representative sample

2022 ◽  
Vol 125 ◽  
pp. 105486
Author(s):  
James Lian ◽  
Kim M. Kiely ◽  
Kaarin J. Anstey
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.


2021 ◽  
Author(s):  
Giovanni Aresi ◽  
Angela Sorgente ◽  
Michael J. Cleveland ◽  
Elena Marta

Introduction: Two not mutually exclusive theories have been proposed to explain the effects of the COVID-19 pandemic on alcohol use: The Availability hypothesis contends that reduced opportunities to drink due to the closure of outlets and consumption sites should lead to decreases in alcohol use, whereas the Stress and Coping hypothesis argues that those exposed to stressful situations may increase drinking. Aims: This study aimed to test such hypotheses by describing pre/during-COVID-19-pandemic changes in patterns of alcohol use among the Italian young adults (18–34 years).Methods: This study involves the secondary analysis of data collected in 2015 and 2020 from nationally representative samples of Italian young adults. Latent class analysis (LCA) was used to identify common patterns of alcohol use.Results: Five classes were found: current non-drinker class (CND), weekend risky (WRD) and weekend non-risky drinkers (WnRD), daily non-risky (DnRD) and daily risky drinkers (DRD). Results indicate gender-specific changes in the prevalence of the five drinker profiles from 2015 to 2020.Conclusions: In support to the Availability hypothesis, increases in abstaining women and men were observed, however among men there were also increases in the prevalence of patterns characterized by risky drinking and related harm (Stress and Coping hypothesis).


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