Patterns of Heterotypic Continuity Associated With the Cross-Sectional Correlational Structure of Prevalent Mental Disorders in Adults

Lahey, Benjamin B.; Zald, David H.; Hakes, Jahn K.; Krueger, Robert F.; Rathouz, Paul J.

doi:10.1001/jamapsychiatry.2014.359

Cited by 93 publications

(121 citation statements)

References 57 publications

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“…Instead, the effects of cumulative risk ‘flow through’ the channels of IE. While this profoundly complex series of relationships is presented reductively in the framework, there is a variety of evidence that supports this conceptualisation of IE as channels for the effects of cumulative risk on adaptive functioning outcomes and manifest syndromes (e.g., Jaffee et al, 2002; Lahey et al, 2014; Vachon, Krueger, Rogosch, & Cicchetti, 2015). We give an overview of this research below, and describe how the roles of genes and environment might change throughout development.…”

Section: Part 2: a Developmentally Informed Approach Based On The Empmentioning

confidence: 99%

“…The focus of much of Part 1 is to illustrate that the IE spectra are much more than just descriptive labels for groups of mental disorders; they are also powerful predictive variables. For example, estimates of IE reliably predict disorder onset, course, and treatment response (e.g., Eaton et al, 2015; Kessler, Ormel, et al, 2011; Kim & Eaton, in press; Krueger & Eaton, 2015; Lahey, Zald, Hakes, Krueger, & Rathouz, 2014). Furthermore, these aspects of psychopathology (onset, course, and treatment response) are better accounted for by the IE spectra as opposed to individual disorders (i.e., after accounting for the role of IE, individual disorders no longer predict these variables).…”

Section: Part 1: the Case For Moving Beyond Comorbidity As A Focus Inmentioning

confidence: 99%

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Beyond comorbidity: Toward a dimensional and hierarchical approach to understanding psychopathology across the life span

Tackett²,

et al. 2016

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In this review, we propose a novel developmentally informed framework to push research beyond a focus on comorbidity between discrete diagnostic categories, and to move towards research based on the well-validated dimensional and hierarchical structure of psychopathology. For example, a large body of research speaks to the validity and utility of the Internalizing and Externalizing (IE) spectra as organizing constructs for research on common forms of psychopathology. The IE spectra act as powerful explanatory variables that channel the psychopathological effects of genetic and environmental risk factors, predict adaptive functioning, and account for the likelihood of disorder-level manifestations of psychopathology. As such, our proposed theoretical framework uses the IE spectra as central constructs to guide future psychopathology research across the lifespan. The framework is particularly flexible, as any of the facets or factors from the dimensional and hierarchical structure of psychopathology can form the focus of research. We describe the utility and strengths of this framework for developmental psychopathology in particular, and explore avenues for future research.

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Section: Part 2: a Developmentally Informed Approach Based On The Empmentioning

confidence: 99%

Section: Part 1: the Case For Moving Beyond Comorbidity As A Focus Inmentioning

confidence: 99%

Beyond comorbidity: Toward a dimensional and hierarchical approach to understanding psychopathology across the life span

Tackett²,

et al. 2016

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“…Similarly, across childhood and adolescence, significant homotypic continuity has been found for all symptom dimensions and diagnoses in the fears domain (Bittner et al, 2007; Broeren, Muris, Diamantopoulou, & Baker, 2013; Bufferd et al, 2012; Copeland et al, 2013; Costello et al, 2003; Ferdinand, Dieleman, Ormel, & Verhulst, 2007; Silberg, Rutter, & Eaves, 2001; Waszczuk, Zavos, Gregory, & Eley, 2016) and in the distress domain (Broeren et al, 2013; Copeland et al, 2013; Copeland et al, 2009; Costello et al, 2003; Ferdinand et al, 2007; Keenan, Feng, Hipwell, & Klostermann, 2009; Luby, Si, Belden, Tandon, & Spitznagel, 2009; Silberg et al, 2001; Waszczuk et al, 2016; Wickrama, Conger, Lorenz, & Martin, 2012) over long periods of time. Furthermore, there is clear evidence of homotypic continuity in all common diagnoses within and across internalizing and externalizing domains over 3+ year-long spans of the years of adulthood (Beard et al, 2006; Eaton et al, 2013; Krueger, Caspi, Moffitt, & Silva, 1998; Lahey, Zald, Hakes, Krueger, & Rathouz, 2014; Vollebergh et al, 2001). Robust homotypic continuity is important because it implies that the causal influences on prevalent forms of psychopathology either are relatively unchanging over time, self-sustaining, and/or have relatively long-lasting effects on psychopathology.…”

Section: Homotypic and Heterotypic Continuity: Phenotypic Structure Omentioning

confidence: 99%

A hierarchical causal taxonomy of psychopathology across the life span.

Lahey¹,

Krueger²,

Rathouz³

et al. 2017

Psychological Bulletin

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We propose a taxonomy of psychopathology based on patterns of shared causal influences identified in a review of multivariate behavior genetic studies that distinguish genetic and environmental influences that are either common to multiple dimensions of psychopathology or unique to each dimension. At the phenotypic level, first-order dimensions are defined by correlations among symptoms; correlations among first-order dimensions similarly define higher-order domains (e.g., internalizing or externalizing psychopathology). We hypothesize that the robust phenotypic correlations among first-order dimensions reflect a hierarchy of increasingly specific etiologic influences. Some nonspecific etiologic factors increase risk for all first-order dimensions of psychopathology to varying degrees through a general factor of psychopathology. Other nonspecific etiologic factors increase risk only for all first-order dimensions within a more specific higher-order domain. Furthermore, each first-order dimension has its own unique causal influences. Genetic and environmental influences common to family members tend to be nonspecific, whereas environmental influences unique to each individual are more dimension-specific. We posit that these causal influences on psychopathology are moderated by sex and developmental processes. This causal taxonomy also provides a novel framework for understanding the heterogeneity of each first-order dimension: Different persons exhibiting similar symptoms may be influenced by different combinations of etiologic influences from each of the three levels of the etiologic hierarchy. Furthermore, we relate the proposed causal taxonomy to transdimensional psychobiological processes, which also impact the heterogeneity of each psychopathology dimension. This causal taxonomy implies the need for changes in strategies for studying the etiology, psychobiology, prevention, and treatment of psychopathology.

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“…12 Some have argued that the overall low specificity of prodromal symptoms and signs in bipolar disorder makes it challenging to predict the initial development of bipolar disorder based solely on early phenomenology. 13 Researchers are turning to other ways of conceptualizing this early phenomenology, basing their assessment either on potentially more reliable core symptoms 14,15 or on constructs, such as those provided by the Research Domain Criteria (RDoC).…”

mentioning

confidence: 99%

Is There Validity to the Bipolar Prodrome?

Singh¹

2015

J. Clin. Psychiatry

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Patterns of Heterotypic Continuity Associated With the Cross-Sectional Correlational Structure of Prevalent Mental Disorders in Adults

Cited by 93 publications

References 57 publications

Beyond comorbidity: Toward a dimensional and hierarchical approach to understanding psychopathology across the life span

Beyond comorbidity: Toward a dimensional and hierarchical approach to understanding psychopathology across the life span

A hierarchical causal taxonomy of psychopathology across the life span.

Is There Validity to the Bipolar Prodrome?

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