Journal of psychopathology and clinical science最新文献

Externalizing psychopathology has been found to have small to moderate associations with neighborhood and family sociodemographic characteristics. However, prior studies may have used suboptimal operationalizations of neighborhood sociodemographic characteristics and externalizing psychopathology, potentially misestimating relations between these constructs. To address these limitations, in the current study we test different measurement models of these constructs and assess the structural relations between them. Using a population-representative sample of 2,195 twins and siblings from the Georgia Twin Study and data from the National Neighborhood Data Archive and 2000 U.S. Census, we assessed the fit of competing measurement models for family sociodemographic, neighborhood sociodemographic, and neighborhood environment characteristics. In structural models, we regressed a general externalizing dimension on different operationalizations of these variables separately and then simultaneously in a final model. Latent variable operationalizations of family sociodemographic, neighborhood sociodemographic, and neighborhood environment characteristics explained no more variance in broad externalizing psychopathology than other operationalizations. In an omnibus model, family sociodemographic characteristics showed a small association with externalizing psychopathology, while neighborhood sociodemographic and environmental characteristics did not. Family sociodemographic characteristics showed small associations with neighborhood sociodemographic and environmental characteristics, and neighborhood sociodemographic characteristics were moderately associated with neighborhood environment. These findings suggest that family sociodemographic characteristics are more associated with the development of broad externalizing psychopathology in youth than neighborhood sociodemographic characteristics and neighborhood environment. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The Hierarchical Taxonomy of Psychopathology (HiTOP) consortium's transdiagnostic dimensional model of psychopathology has considerable support; however, this model has been underresearched in individuals at clinical high risk for psychosis (CHR-P), a population that may advance the model. CHR-P individuals not only have attenuated psychotic symptoms that vary in severity, but also have many comorbid diagnoses and varied clinical outcomes, including disorders with uncertain relations to HiTOP (e.g., obsessive-compulsive disorder). The present study used self-report and interview data from North American Prodrome Longitudinal Study-3 (710 CHR, 96 controls) to replicate the HiTOP model and test specific hypotheses regarding disorders with uncertain relations to its dimensions. Additionally, the present study examined the HiTOP model in relation to childhood trauma, declines in social functioning, and development of full psychosis. Confirmatory factor analysis indicated that the HiTOP model's fit was nearly adequate (e.g., comparative fit index = .89), though several theory-relevant modifications were indicated. Additionally, specific tests were conducted to gain a more fine-grained perspective on how disorders with less clear prior evidence were related to the HiTOP model. Notable findings from these analyses include bipolar spectrum disorders relating to the psychosis super spectrum (i.e., .39 loading), and obsessive-compulsive disorder showing a complex pattern of loadings (e.g., internalizing and psychosis). The final model parsimoniously accounted for childhood trauma (e.g., super spectra r^s = .22-.32), associations with current functioning, and predicted future conversion to a psychotic disorder (e.g., super spectra R² = .13). Overall, these results inform the HiTOP model and suggest its promise for CHR-P research. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Despite the well-established link between firearm access and suicide, less is known about other variables that may influence the risk for death by self-inflicted gunshot versus other methods of suicide. As individual factors have demonstrated limited predictive ability, scholars have called for studies that consider the multifaceted relations between myriad variables. One alternative to the typical cause-and-effect approach for investigating various forms of psychopathology is network analysis. However, few studies have applied this method to suicidal outcomes, particularly in the context of a veteran population. Data from 19,234 male veteran suicide decedents (89.1% White; M_age = 57.16, SD = 18.64) acquired from the National Violent Death Reporting System were used to investigate characteristics of veteran suicide decedents who died by self-inflicted gunshot (gun; 66.4%) versus alternative methods (nongun, e.g., poisoning, hanging; 33.5%). Results of the overall moderated network model indicated that veterans in the gun group were more likely to have a physical health problem that contributed to the suicide than veterans in the nongun group. Additionally, results of the moderated network model revealed several pairs of associated circumstances whose relationships were significantly moderated by method of suicide, the three strongest of which included having a physical health problem that contributed to the suicide. Overall, results suggest that public health prevention and intervention efforts aimed at reducing the overall burden of physical health problems among male veterans may mitigate the risk of firearm suicides. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Sex differences in psychopathology are well-established, with females demonstrating higher rates of internalizing (INT) psychopathology and males demonstrating higher rates of externalizing (EXT) psychopathology. Using two waves of data from the Adolescent Brain Cognitive Development Study (N = 6,778 at each wave), the current study tested whether the relations between sex and psychopathology might be accounted for by structural brain differences. In general, we found robust, relatively consistent relations between sex and structural morphometry across waves. Relatively few morphometric brain variables were significantly related to INT or EXT across waves, however, with very small effect sizes when present. Next, we tested the extent to which each morphometric brain variable could account for the associations of sex with INT and EXT psychopathology. We found a total of 26 brain regions that accounted for significant portions of the associations between sex and psychopathology across both waves (almost all related to EXT), although the effects present were very small. The current evidence suggests that in children aged 9-12, multiple whole-brain and regional brain variables appear to statistically account for small portions of the sex-psychopathology links, especially for externalizing. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Background: While studies have linked sexual minority stress with anxious/depressed affect, few studies have prospectively examined how mechanistic processes linking minority stress and anxious/depressed affect unfold in near-real time. Furthermore, studies of mechanisms have focused exclusively on rumination and proximal minority stressors (e.g., internalized stigma). This limits our understanding of other potential mechanisms, such as decreases in the use of reappraisal and reflection, strategies associated with reducing anxious/depressed affect.

Method: We used data from a 30-day ecological momentary assessment study with 429 sexual minority women and gender diverse sexual minorities assigned female at birth to determine whether concurrent and prospective event-level associations between minority stress and anxious/depressed affect were mediated by changes in six emotion regulation strategies, perceived coping efficacy, and proximal stressors.

Results: In partially lagged analyses, when individuals experienced enacted or internalized stigma, they reported increased rumination and expressive suppression on the same day, which predicted increases in anxious/depressed affect into the next day. Decreases in reappraisal also mediated partially lagged associations between internalized stigma and anxious/depressed affect. Fully lagged mediation was only demonstrated for rumination as a mechanism linking internalized stigma with anxious/depressed affect. We found concurrent evidence for other mechanisms (i.e., perceived coping efficacy, reflection, internalized stigma, and rejection sensitivity).

Conclusions: Results provided support for the roles of rumination and expressive suppression as mechanisms of linking minority stress and anxious/depressed affect. The concurrent evidence for other mechanisms suggests that future research with more temporal resolution is necessary to determine the temporality and directionality of these associations. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Increasing daily exploration is linked to improvements in affective well-being. However, COVID-19 elevated uncertainty when leaving the home, altering the risk-reward of balance of geospatial novelty. To this end, we simultaneously collected real-world geospatial tracking and experience sampling of emotion, prior to and during the first year of the pandemic in 630 individuals. COVID-19 reduced exploration and subjective well-being. Yet, despite the health risks of exploring during the pandemic, the days of highest affective well-being were those when individuals explored the most. However, this was not true for everyone: during the first months of the pandemic, at the height of the uncertainty surrounding the transmissibility and prognosis of a COVID-19 infection, more anxious individuals experienced no affective benefit to leaving home. Taken together, real-world exploration improved well-being regardless of the presence of real-world threat, but anxiety mitigated these benefits. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Dissociation and diminished sense of agency are experiential distortions of disintegration in the perception of self and action. Although one is often implied in the other, they are seldom studied together. Assessing their relationship and shared influences may allow for a more comprehensive and nuanced understanding of dissociative experiences. We aimed to examine their temporal (concurrent or directional) co-occurrence, and to elucidate their etiology, focusing on posttraumatic symptoms (PTS), poor sleep, and their hypothesized joint effect. N = 113 adults oversampled for the existence of trauma exposure history reported PTS and then, for a week, wore an actigraphic sleep monitor, reported subjective sleep quality each morning, and reported state dissociation (depersonalization, derealization, and absorption) and sense of agency four times each day. Data were analyzed using multilevel linear modeling. Higher state dissociation correlated with diminished state sense of agency, but only contemporaneously, not directionally. Both hypothesized etiological factors, namely, PTS (especially complex) and poor sleep (objective and subjective) predicted state dissociation and diminished state sense of agency, but psychological distress seemed to overshadow these main effects. However, robust interactive effects suggested that poor sleep predicted dissociation and disruptions in the sense of agency only among individuals with low PTS. These findings suggest that PTS and poor sleep quality are separate paths to dissociation and impaired sense of agency. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

We lack knowledge about the short-term predictors of suicide attempts (SAs) among treatment-seeking individuals. The current study evaluated whether (a) interpersonal difficulties, hopelessness, and affective states are associated with an increased risk of SAs on the same and the next day; (b) these daily states are interconnected differently over time among inpatients who attempt suicide compared to those who do not. In total, 110 psychiatric inpatients who attempted suicide during their stay at a psychiatric hospital self-reported their suicidal ideation, negative affect, positive affect, wish to live, interpersonal needs, and hopelessness each day (3,018 daily reports). Multilevel structural equation modeling was used to examine same-day and next-day predictors of SAs. Multilevel temporal network models assessed interconnectedness between daily predictors and were compared to network models from a matched sample of 110 psychiatric inpatients who did not attempt suicide. In multivariate models, increases in perceived burdensomeness were significantly associated with same-day SAs, whereas increased hopelessness was associated with next-day SAs. Network models for patients who attempted suicide indicated that hopelessness and suicidal ideation were central to change, leading to next-day deteriorations in mental health. In subsequent models, feeling calm and relaxed, and feeling fresh and rested were centrally connected to other variables. The centrality of these metrics tended to be higher than in the network models for patients who did not attempt suicide, suggesting differences in the interplay between risk and protective factors. This study suggests routinely monitoring interpersonal factors and hopelessness may help identify increased short-term risk of SAs among psychiatric inpatients. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Anxiety and depression are common among individuals with bipolar spectrum disorders (BSDs), with anxiety being a risk factor for depression and vice versa. While the harmful effects of these symptoms are well recognized, their temporal dynamics have not been fully tested. To address this gap, our study investigated bidirectional relationships between anxiety and depression in individuals with BSDs using data from the Prechter Longitudinal Study of Bipolar Disorder, collected over an average of 11 years. We included 651 participants with various BSD subtypes (BD I, BD II, BD not otherwise specified, and schizoaffective bipolar type), with at least 5 years' data for adequate statistical power in detecting temporal dynamics. Bimonthly measurements of anxiety and depression were analyzed using dynamic structural equation modeling. Beyond assessing autoregressive and cross-lagged effects, this study also investigated whether temporal dynamics differed based on demographic characteristics and the use of psychiatric medication. Our findings revealed that individuals with BSDs experienced significant fluctuations in anxiety and depression over time. In addition, we found significant autoregressive and cross-lagged effects of anxiety and depression. Comparison of the cross-lagged effects demonstrated that anxiety had a greater effect on subsequent depression than vice versa. Age and marital status impacted cross-lagged and autoregressive effects. Specifically, older participants had stronger temporal associations between depression and subsequent anxiety, while widowed participants exhibited a heightened impact of depression on subsequent depression. These results underscore the importance of early identification and integrative interventions aimed at addressing both anxiety and depression to mitigate subsequent symptoms in BSDs. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Major depressive disorder (MDD) is conceptualized by individual symptoms occurring most of the day for at least two weeks. Despite this operationalization, MDD is highly variable with persons showing greater variation within and across days. Moreover, MDD is highly heterogeneous, varying considerably across people in both function and form. Recent efforts have examined MDD heterogeneity byinvestigating how symptoms influence one another over time across individuals in a system; however, these efforts have assumed that symptom dynamics are static and do not dynamically change over time. Nevertheless, it is possible that individual MDD system dynamics change continuously across time. Participants (N = 105) completed ratings of MDD symptoms three times a day for 90 days, and we conducted time varying vector autoregressive models to investigate the idiographic symptom networks. We then illustrated this finding with a case series of five persons with MDD. Supporting prior research, results indicate there is high heterogeneity across persons as individual network composition is unique from person to person. In addition, for most persons, individual symptom networks change dramatically across the 90 days, as evidenced by 86% of individuals experiencing at least one change in their most influential symptom and the median number of shifts being 3 over the 90 days. Additionally, most individuals had at least one symptom that acted as both the most and least influential symptom at any given point over the 90-day period. Our findings offer further insight into short-term symptom dynamics, suggesting that MDD is heterogeneous both across and within persons over time. (PsycInfo Database Record (c) 2024 APA, all rights reserved).