Examining the role of personality functioning in a hierarchical taxonomy of psychopathology using two years of ambulatory assessed data

Translational Psychiatry, Год журнала: 2024, Номер 14(1)

Опубликована: Авг. 24, 2024

Abstract The Hierarchical Taxonomy of Psychopathology (HiTOP) arranges phenotypes mental disorders based on empirical covariation, ranging from narrowly defined symptoms to higher-order spectra psychopathology. Since the introduction personality functioning (PF) in DSM-5 and ICD-11, several studies have identified PF as a predictor transdiagnostic aspects However, role HiTOP classification system has not been systematically examined. This study investigates how can be integrated into HiTOP, whether accounts for variance captured spectra, its predictive value future affective well-being (AWB) psychosocial impairment (PSI) compares specific psychopathology beyond PF. To this end, we examined two years ambulatory assessed data psychopathology, PF, PSI, AWB N = 27,173 users health app. Results bass-ackwards analyses largely aligned with current working model. Using bifactor modeling, were capture most internalizing, thought disorder, externalizing factor variance. In longitudinal prediction employing bifactor-(S-1) explained 58.6% 30.6% PSI when across one year, respectively, 33.1% 23.2% years. indicate that may account components well outcomes AWB. Clinicians their patients benefit assessing such identity problems or internal relationship models broad range disorders. Further, incorporating measures advance research biological psychiatry by providing empirically sound phenotypes.

Язык: Английский

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The General Psychopathology ‘p’ Factor in Adolescence: Multi-Informant Assessment and Computerized Adaptive Testing

Research on Child and Adolescent Psychopathology, Год журнала: 2024, Номер unknown

Опубликована: Июнь 13, 2024

Язык: Английский

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Characterizing the phenotypic and genetic structure of psychopathology in UK Biobank

Nature Mental Health, Год журнала: 2024, Номер 2(8), С. 960 - 974

Опубликована: Июль 4, 2024

Язык: Английский

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Balancing Data Quality and Bias: Investigating Functional Connectivity Exclusions in the Adolescent Brain Cognitive Development℠ (ABCD Study) Across Quality Control Pathways

Human Brain Mapping, Год журнала: 2025, Номер 46(1)

Опубликована: Янв. 1, 2025

ABSTRACT Analysis of resting state fMRI (rs‐fMRI) typically excludes images substantially degraded by subject motion. However, data quality, including degree motion, relates to a broad set participant characteristics, particularly in pediatric neuroimaging. Consequently, when planning quality control (QC) procedures researchers must balance concerns against the possibility biasing results eliminating data. In order explore how researcher QC decisions might bias rs‐fMRI findings and inform future research design, we investigated spectrum characteristics Adolescent Brain Cognitive Development (ABCD) study were related inclusion/exclusion across versions dataset (the ABCD Community Collection Release 4) choices (specifically, motion scrubbing thresholds). Across all these conditions, found that odds participant's exclusion behavioral, demographic, health‐related variables, with consequence analyses using variables are likely produce biased results. recommend missing be formally accounted for analyzing interpreting Our demonstrate urgent need better acquisition analysis techniques which minimize impact on quality. Additionally, strongly detailed information about open datasets such as ABCD.

Язык: Английский

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Estimation and Validation of the “c” Factor for Overall Cerebral Functioning in the Philadelphia Neurodevelopmental Cohort

Applied Sciences, Год журнала: 2025, Номер 15(4), С. 1697 - 1697

Опубликована: Фев. 7, 2025

While both psychopathology and cognitive deficits manifest in mental health disorders, the nature of their relationship remains poorly understood. Recent research suggests a potential common factor underlying domains. Using data from Philadelphia Neurodevelopmental Cohort (N = 9494, ages 8–21), we estimated validated “c” representing overall cerebral functioning through structural model combining indicators. The incorporated general factors (“p”) ability (“g”), along with specific sub-domain factors. We evaluated model’s criterion validity using external measures, including parent education, neighborhood socioeconomic status, global functioning, intracranial volume, assessed its predictive utility for longitudinal psychosis outcomes. demonstrated acceptable fit (CFI 0.98, RMSEA 0.021, SRMR 0.030), this showed stronger associations education (r 0.43), SES 0.47), volume 0.39) than “p” “g” alone. Additionally, baseline scores significantly predicted spectrum outcomes at follow-up (d 0.30–0.57). These findings support capturing function across domains, implications understanding brain function, improving clinical assessment, optimally focusing interventions.

Язык: Английский

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Reproducible Brain Charts: An open data resource for mapping brain development and its associations with mental health

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2025, Номер unknown

Опубликована: Фев. 26, 2025

Major mental disorders are increasingly understood as of brain development. Large and heterogeneous samples required to define generalizable links between development psychopathology. To this end, we introduce the Reproducible Brain Charts (RBC), an open data resource that integrates from 5 large studies in youth three continents ( N =6,346; 45% Female). Confirmatory bifactor models were used create harmonized psychiatric phenotypes capture major dimensions Following rigorous quality assurance, neuroimaging carefully curated processed using consistent pipelines a reproducible manner with DataLad, Configurable Pipeline for Analysis Connectomes (C-PAC), FreeSurfer. Initial analyses RBC emphasize benefit careful assurance harmonization delineating developmental effects associations Critically, all - including phenotypes, unprocessed images, fully imaging derivatives openly shared without use agreement via International Neuroimaging Data-sharing Initiative. Together, facilitates large-scale, reproducible, research neuroscience.

Язык: Английский

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Is Targeting Depression Sufficient to Alleviate Anxiety Comorbidity? Exploring Between-Individuals Heterogeneity in Within-Individuals Processes

Clinical Psychological Science, Год журнала: 2025, Номер unknown

Опубликована: Март 3, 2025

The well-documented between-individuals correlation between anxiety and depression cannot address within-individuals questions, such as whether targeting subsequently alleviates comorbidity. Recent studies have demonstrated the importance of focusing on processes to provide evidence-based guidelines commonly encountered questions in clinical practice. This study examined within-patient effect reduction subsequent during a treatment depression, well potential variability this patients. Data from randomized controlled trial more than 3,220 observations nested within 100 patients treated for were used. Findings indicate that at sample level, reduced which, turn, predicted anxiety. Although no qualitatively distinct subgroups emerged, quantitative differences individuals found. pretreatment interplay explains heterogeneity individuals. findings implications personalizing comorbidities.

Язык: Английский

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Large-scale evidence of a general disease (‘d’) factor accounting for both mental and physical health disorders in different age groups

Psychological Medicine, Год журнала: 2025, Номер 55

Опубликована: Янв. 1, 2025

Abstract Background It is unknown whether there a general factor that accounts for the propensity both physical and mental conditions in different age groups how it associated with lifestyle well-being. Methods We analyzed health data from Millennium Cohort Study (MCS) (age = 17; N 19,239), National Child Development (NCDS) 44; 9293), English Longitudinal of Ageing (ELSA) ≥ 50; 7585). The fit three Confirmatory Factor models was used to select optimal solution by Comparative Fit Index, Tucker-Lewis Root Mean Square Error Approximation. relationship among d factor, lifestyles, well-being further explored. Results Supporting existence bi-factor model showed best 17-year-olds (MCS:CFI 0.97, TFI 0.96, RMSEA 0.01), 44-year-olds (NCDS:CFI 0.95, 0.02), 50+ year-olds (ELSA:CFI 0.02). scores significantly correlated well-being, suggesting healthier lifestyles were reduced likelihood comorbidities, which turn improved Conclusions Contrary traditional dichotomy between conditions, our study underlying comorbidity across diseases, related Our results inform conceptualization illness as well future research assessing risk pathways disease transmission, intervention, prevention. also provide strong rationale systematic screening disorders individuals vice versa, integrated services addressing multimorbidity.

Язык: Английский

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A Renewal of Dyadic Structural Equation Modeling With Latent Variables: Clarifications, Methodological Advantages, and New Directions

Social and Personality Psychology Compass, Год журнала: 2025, Номер 19(3)

Опубликована: Фев. 28, 2025

ABSTRACT Researchers interested in the quantitative analysis of data from dyads must select a preferred statistical framework. In this review, we focus on one option that has seen relatively modest adoption: dyadic structural equation modeling with latent variables. We begin by distinguishing SEM alternate, neighboring, and hybridized frameworks, before sharing our view unique—and opinion, considerable—value‐proposition then provide some preliminary evidence is subordinated terms adoption rates versus its competitors, offering contextual why may have come to be case. Finally, conclude discussion future possibilities, near accessible others farther away more technical, researchers field might pursue (and benefit from) help

Язык: Английский

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Understanding and mitigating associations between childhood neighborhood deprivation and adolescent mental health in two UK birth cohorts

Development and Psychopathology, Год журнала: 2025, Номер unknown, С. 1 - 15

Опубликована: Апрель 7, 2025

Abstract This study investigated associations between childhood neighborhood deprivation and adolescent mental health difficulties, potential protective factors. Data were utilized from the Millennium Cohort Study (MCS) (born in 2000–2002; N = 5,422; 52% female) Environmental Risk (E-Risk) Longitudinal Twin 1994–1995; 1,920; 53% female). Childhood was measured using Index of Multiple Deprivation age 9 months 14 years at 12 (E-Risk). Adolescent assessed Strengths Difficulties Questionnaire 17 Diagnostic Interview Schedule conducted 18 with symptoms loading onto general psychopathology, internalizing externalizing factors Cross-classified models showed high levels associated more total problems (estimate 0.46, 95% CI 0.04–0.88) difficulties 0.32, 0.06–0.59) adolescence within MCS. Being male, having higher self-esteem, greater social support, a positive parent-child relationship fewer (estimates −0.09–−1.87) −0.03–−1.88) full sample regardless exposure. However, interactions revealed that self-esteem especially beneficial for children exposed to −0.35, −0.43–−0.27). No significant found E-Risk. Interventions focused on improving parenting may help promote better population. Those living most deprived areas benefit increased self-esteem.

Язык: Английский

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