Examination of the structure of psychopathology using latent class analysis

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Abstract

Several recent studies using factor analytic methods find that the structure of psychopathology reflects broad internalizing and externalizing dimensions, with the internalizing dimension being further divided into fear and distress disorders. Although these variable-centered studies have provided important insights into the structure of psychopathology, they provide limited information about the classification of individual cases. The present study examines patterns of lifetime internalizing and externalizing psychopathology in participants from the Oregon Adolescent Depression Project using latent class analysis that classifies individuals rather than variables. A 4-class solution best fits the data. The largest class (62.5%) included individuals with relatively little psychopathology; 1 class (16.4%) was largely characterized by internalizing disorders, 1 class (16.9%), largely characterized by externalizing disorders; and the final class (4.2%), characterized by both internalizing and externalizing disorders. The validity of the classes was further examined using data on psychiatric morbidity, temperament, and family aggregation of psychopathology. Classes differed on indices of positive, negative, and disinhibited temperament in ways that were consistent with theoretical predictions. Patterns of familial aggregation of psychopathology demonstrated relative specificity of transmission of different disorders. Overall, the findings support conclusions from studies of dimensional models of internalizing and externalizing disorders, and extend them to person-centered approaches to classification.

Section snippets

Participants

The present study uses data from the Oregon Adolescent Depression Project (OADP) [37], a longitudinal study of a large cohort of high school students who were assessed twice during adolescence, a third time when the average age was 24 years, and a fourth time when the average age was 30 years. Participants were randomly selected from 9 high schools in western Oregon. A total of 1709 adolescents (ages 14-18 years; mean age, 16.6 years; SD, 1.2) completed the initial (T1) assessments between 1987

Identification of best fitting class solution

Latent class analyses were performed by estimating models for 2 through 10 classes. However, models are only presented for 2 through 5 classes because inadmissible solutions were found for models of 6 through 10 classes. The minimum BIC was found for the 3-class solution (Table 1), suggesting that this is the preferred solution. However, the BLRT found that the 4-class solution provided a significant improvement relative to the 3-class solution. In addition, the BLRT found that the 5-class

Discussion

Previous literature on the structure of psychopathology has largely relied on variable-centered methods such as factor analysis. Models derived from these methods describe the organization of psychopathology across individuals; however, disorder classification is intended to provide information about individual cases. To accomplish this latter goal, alternative methods such as LCA are required. The present study used LCA to identify classes of psychopathology, with the validity of the resultant

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    This work was supported by the National Institute of Mental Health Grants R01MH66023 (Dr. Klein), R01 MH40501, R01 MH50522, R01 MH52858, and R01 DA012951 (Dr. Lewinsohn). Portions of these data were presented at the Twenty Fourth Annual Meeting of the Society for Research in Psychopathology, Seattle, Wash, October 2010.

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