Dataset Information

Measuring the hierarchical general factor model of psychopathology in young adults.

ABSTRACT: There is evidence that models of psychopathology specifying a general factor and specific second-order factors fit better than competing structural models. Nonetheless, additional tests are needed to examine the generality and boundaries of the general factor model. In a selected second wave of a cohort study, first-order dimensions of psychopathology symptoms in 499 23- to 31-year-old twins were analyzed. Using confirmatory factor analysis, a bifactor model specifying a general factor and specific internalizing and externalizing factors fit better than competing models. Factor loadings in this model were sex invariant despite greater variances in the specific internalizing factor among females and greater variances in the general and specific externalizing factors among males. The bifactor structure was robust to the exclusion of any single first-order dimension of psychopathology. Furthermore, the results were essentially unchanged when all overlapping symptoms that define multiple disorders were excluded from symptom dimensions. Furthermore, the best-fitting bifactor model also emerged in exploratory structural equation modeling with freely estimated cross-loadings. The general factor of psychopathology was robust across variations in measurement and analysis.

SUBMITTER: Lahey BB

PROVIDER: S-EPMC5834349 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Measuring the hierarchical general factor model of psychopathology in young adults.

Lahey Benjamin B BB Zald David H DH Perkins Scott F SF Villalta-Gil Victoria V Werts Katherine B KB Van Hulle Carol A CA Rathouz Paul J PJ Applegate Brooks B Class Quetzal A QA Poore Holly E HE Watts Ashley L AL Waldman Irwin D ID

International journal of methods in psychiatric research 20171008 1

There is evidence that models of psychopathology specifying a general factor and specific second-order factors fit better than competing structural models. Nonetheless, additional tests are needed to examine the generality and boundaries of the general factor model. In a selected second wave of a cohort study, first-order dimensions of psychopathology symptoms in 499 23- to 31-year-old twins were analyzed. Using confirmatory factor analysis, a bifactor model specifying a general factor and speci ...[more]

PMID: 28990308

Similar Datasets

Project description:[Correction Notice: An Erratum for this article was reported in Vol 129(7) of Journal of Abnormal Psychology (see record 2020-72912-001). In the article (http://dx.doi.org/10.1037/abn0000601), an acknowledgment is missing from the author note. The missing acknowledgement is included in the erratum.] Psychopathology can be viewed as a hierarchy of correlated dimensions. Many studies have supported this conceptualization, but they have used alternative statistical models with differing interpretations. In bifactor models, every symptom loads on both the general factor and 1 specific factor (e.g., internalizing), which partitions the total explained variance in each symptom between these orthogonal factors. In second-order models, symptoms load on one of several correlated lower-order factors. These lower-order factors load on a second-order general factor, which is defined by the variance shared by the lower-order factors. Thus, the factors in second-order models are not orthogonal. Choosing between these valid statistical models depends on the hypothesis being tested. Because bifactor models define orthogonal phenotypes with distinct sources of variance, they are optimal for studies of shared and unique associations of the dimensions of psychopathology with external variables putatively relevant to etiology and mechanisms. Concerns have been raised, however, about the reliability of the orthogonal specific factors in bifactor models. We evaluated this concern using parent symptom ratings of 9-10 year olds in the ABCD Study. Psychometric indices indicated that all factors in both bifactor and second-order models exhibited at least adequate construct reliability and estimated replicability. The factors defined in bifactor and second-order models were highly to moderately correlated across models, but have different interpretations. All factors in both models demonstrated significant associations with external criterion variables of theoretical and clinical importance, but the interpretation of such associations in second-order models was ambiguous due to shared variance among factors. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Project description:BackgroundPreschool psychiatric symptoms significantly increase the risk for long-term negative outcomes. Transdiagnostic hierarchical approaches that capture general ('p') and specific psychopathology dimensions are promising for understanding risk and predicting outcomes, but their predictive utility in young children is not well established. We delineated a hierarchical structure of preschool psychopathology dimensions and tested their ability to predict psychiatric disorders and functional impairment in preadolescence.MethodsData for 1253 preschool children (mean age = 4.17, s.d. = 0.81) were drawn from three longitudinal studies using a similar methodology (one community sample, two psychopathology-enriched samples) and followed up into preadolescence, yielding a large and diverse sample. Exploratory factor models derived a hierarchical structure of general and specific factors using symptoms from the Preschool Age Psychiatric Assessment interview. Longitudinal analyses examined the prospective associations of preschool p and specific factors with preadolescent psychiatric disorders and functional impairment.ResultsA hierarchical dimensional structure with a p factor at the top and up to six specific factors (distress, fear, separation anxiety, social anxiety, inattention-hyperactivity, oppositionality) emerged at preschool age. The p factor predicted all preadolescent disorders (ΔR2 = 0.04-0.15) and functional impairment (ΔR2 = 0.01-0.07) to a significantly greater extent than preschool psychiatric diagnoses and functioning. Specific dimensions provided additional predictive power for the majority of preadolescent outcomes (disorders: ΔR2 = 0.06-0.15; functional impairment: ΔR2 = 0.05-0.12).ConclusionsBoth general and specific dimensions of preschool psychopathology are useful for predicting clinical and functional outcomes almost a decade later. These findings highlight the value of transdiagnostic dimensions for predicting prognosis and as potential targets for early intervention and prevention.

Project description:Our purpose was to study psychosocial adjustment and psychiatric morbidity of adolescents and young adults with congenital heart disease (CHD).All assessment measures were obtained on a single occasion. Clinical data was obtained through the patient's clinical records.A teaching and tertiary care facility in Porto, Portugal.We evaluated 110 CHD patients (62 male) aged from 12 to 26 years (mean=18.00±3.617), 58 cyanotic. All assessment measures were obtained on a single occasion in a tertiary hospital. Demographic information and clinical history were collected.Questionnaires regarded topics such as social support, family educational style, self-image and physical limitations, a standardised psychiatric interview Schedule for Affective Disorders and Schizophrenia-Lifetime version (SADS-L), and a self-report questionnaire on psychosocial adjustment, youth self-report or adult self-report. One of the relatives completed an observational version of the same questionnaire (child behaviour checklist (CBCL) or ABCL (adult behaviour checklist)).We found a 21.8% lifetime prevalence of psychopathology, 31.3%, in females, 14.5% in males, showing a somewhat increased proneness in CHD patients. Females also showed worse psychosocial adjustment, with more somatic complaints (u=260 000; p=0.011), anxiety/depression (u=984 000; p=0.002), aggressive behaviour (u=920 500; p=0.001), attention problems (u=1123 500; p=0.027), thought problems (u=1069 500; p=0.010), internalisation (u=869 000; p=0.0) and externalisation (u=1163 000; p=0.05). Patients with severe CHD (u=939 000; p=0.03) and surgical repair (u=719 000; p=0.037) showed worse psychosocial adjustment. Those with poor social support showed more withdrawal (u=557 500; p=0.0) and social problems (u=748 500; p=0.023), and patients with unsatisfactory school performance revealed more anxiety/depression (u=916 000; p=0.02) and attention problems (u=861 500; p=0.007).CHD males with good social support and good academic performance have a better psychosocial adjustment.

Dataset Information

Measuring the hierarchical general factor model of psychopathology in young adults.

Publications

Measuring the hierarchical general factor model of psychopathology in young adults.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets