Grouping Youth With Similar Symptoms: A Person-Centered Approach to Transdiagnostic Subgroups

Bonadio, F. Tony; Dynes, Morgan; Lackey, Jennifer Hayman; Tompsett, Carolyn J.; Amrhein, Kelly

doi:10.1002/jclp.22274

Cited by 16 publications

(20 citation statements)

References 40 publications

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“…Various person-centered models have been proposed for the latent group structures of particular disorders (Martel, Goth-Owens, Martinez-Torteya, & Nigg, 2010; Rosellini, Coffey, Tracy, & Galea, 2014; Vaidyanathan, Patrick, & Iacono, 2012) and for comorbidity (Bonadio, Dynes, Lackey, Tompsett, & Amrhein, 2016; El-Gabalawy et al, 2013; Olino et al, 2012; Vaidyanathan et al, 2011). Also, prior person-centered studies have investigated the structure of comorbidity in different populations, such as children and adolescents (Basten et al, 2013; Kamphaus et al, 1999; Kamphaus, Huberty, DiStefano, & Petoskey, 1997; Olino et al, 2012; Tolan & Henry, 1996), adults (El-Gabalawy et al, 2013; Kessler, Chiu, et al, 2005; Rosellini et al, 2014), and the general population (Vaidyanathan et al, 2011; Vaidyanathan et al, 2012).…”

Section: Person-centered Studies Of Mental Disorder Comorbiditymentioning

confidence: 99%

A Hierarchical Integration of Person-Centered Comorbidity Models: Structure, Stability, and Transition Over Time

Kim

Eaton

2017

Clinical Psychological Science

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Person-centered analyses of mental disorder comorbidity typically identify a single optimal latent group structure. We took an alternate approach, modeling every estimable comorbidity class model in a nationally representative sample ( N = 34,653) and integrating them into a single overarching hierarchy, providing a full multilevel accounting of various person-centered comorbidity structures. We then investigated the structural stability of this hierarchy across two waves of data collection, and the stability of, and transition between, comorbidity classes over time using latent transition analysis. Findings suggested that comorbidity classes were structured into an interpretable hierarchy. Evidence for robust structural stability of the hierarchy over time was found, regardless of assessment time points and diagnostic time frames used. Latent transition analysis provided evidence for both continuity and change of comorbidity group membership. We discuss how person- and variable-centered models provide complementary perspectives toward empirically supported classification.

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Section: Person-centered Studies Of Mental Disorder Comorbiditymentioning

confidence: 99%

A Hierarchical Integration of Person-Centered Comorbidity Models: Structure, Stability, and Transition Over Time

Kim

Eaton

2017

Clinical Psychological Science

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“…The main limit of this interesting work, however, is the small sample size. Interestingly, Bonadio et al [14] in a similar way used Latent Profile Analysis (i.e. LCA with continuous indicators) to identify psychopathological profiles from the Ohio Scales-Problem Severity Scale (OS PS) filled out by youth and parent dyads of a community mental health sample.…”

Section: Introductionmentioning

confidence: 99%

Latent classes of emotional and behavioural problems in epidemiological and referred samples and their relations to DSM-IV diagnoses

Bianchi

Brambilla

Garzitto

et al. 2016

Eur Child Adolesc Psychiatry

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Researchers’ interest have recently moved toward the identification of recurrent psychopathological profiles characterized by concurrent elevations on different behavioural and emotional traits. This new strategy turned to be useful in terms of diagnosis and outcome prediction. We used a person-centred statistical approach to examine whether different groups could be identified in a referred sample and in a general-population sample of children and adolescents, and we investigated their relation to DSM-IV diagnoses. A latent class analysis (LCA) was performed on the Child Behaviour Checklist (CBCL) syndrome scales of the referred sample (N = 1225), of the general-population sample (N = 3418), and of the total sample. Models estimating 1-class through 5-class solutions were compared and agreement in the classification of subjects was evaluated. Chi square analyses, a logistic regression, and a multinomial logistic regression analysis were used to investigate the relations between classes and diagnoses. In the two samples and in the total sample, the best-fitting models were 4-class solutions. The identified classes were Internalizing Problems (15.68%), Severe Dysregulated (7.82%), Attention/Hyperactivity (10.19%), and Low Problems (66.32%). Subsequent analyses indicated a significant relationship between diagnoses and classes as well as a main association between the severe dysregulated class and comorbidity. Our data suggested the presence of four different psychopathological profiles related to different outcomes in terms of psychopathological diagnoses. In particular, our results underline the presence of a profile characterized by severe emotional and behavioural dysregulation that is mostly associated with the presence of multiple diagnosis.

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“…The finding that the majority of children stayed in the ‘Low’ group from ages 6/7–10/11 years is consistent with other research (Luby et al ., 2003; Althoff et al ., 2006, 2010 b ; Basten et al ., 2013, Bonadio et al ., 2016; Weeks et al ., 2016; Bianchi et al ., 2017). The largest proportion of individuals who were in the ‘Moderate’ or the ‘Hyperactivity/internalizing’ profiles at age 6/7 years also ended up in the ‘Low’ profile by age 10/11 years.…”

Section: Discussionmentioning

confidence: 99%

The relationship between profiles and transitions of internalizing and externalizing symptoms in children and suicidal thoughts in early adolescence

et al. 2019

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BackgroundAdolescence is a high-risk period for the onset of suicidal thoughts and behaviors. Identification of preceding patterns of internalizing and externalizing symptoms that are associated with subsequent suicidal thoughts may offer a better understanding of how to prevent adolescent suicide.MethodsData from the National Longitudinal Survey of Children and Youth, a prospective population-based Canadian cohort, contained Child Behavior Checklist items which were used to examine profiles and transitions of internalizing and externalizing symptoms in children, aged 6–11 years (n = 8266). The association between these profiles/transitions and suicidal thoughts in adolescents was examined using multivariate logistic regression modeling.ResultsLatent profile analyses identified four measurement invariant profiles of internalizing and externalizing symptoms at ages 6/7 and 10/11: (1) low on all symptoms, (2) moderate on all symptoms, (3) high on all symptoms, and (4) high on hyperactivity/inattention and internalizing. Recurrent (homotypic or heterotypic) and increasing symptoms from 6/7 to 10/11 were associated with suicidal thoughts in adolescence, compared to those with stable low symptoms. Those with decreasing symptoms from 6/7 to 10/11 were not at increased risk of suicidal thought in adolescence.ConclusionsWhile patterns of recurrent symptoms were associated with suicidal thoughts, a similar association was observed between profiles at age 10/11 years and suicidal thoughts. This suggests that the recent assessments of mental health symptoms in children may be as sufficient a predictor of adolescent suicidal thought as transition profiles.

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Grouping Youth With Similar Symptoms: A Person-Centered Approach to Transdiagnostic Subgroups

Cited by 16 publications

References 40 publications

A Hierarchical Integration of Person-Centered Comorbidity Models: Structure, Stability, and Transition Over Time

A Hierarchical Integration of Person-Centered Comorbidity Models: Structure, Stability, and Transition Over Time

Latent classes of emotional and behavioural problems in epidemiological and referred samples and their relations to DSM-IV diagnoses

The relationship between profiles and transitions of internalizing and externalizing symptoms in children and suicidal thoughts in early adolescence

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