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Mental health for cancer survivors in both research and clinical applications has strongly adopted a traditional nosological approach, involving the classification of psychopathology into discrete disorders. However, this approach has recently faced considerable criticism due to issues such as high comorbidity and within-disorder symptom heterogeneity across populations. Moreover, there are additional specific issues impacting the validity of traditional approaches in cancer survivorship populations, including the physiological effects of cancer and its treatments. In response, we provide the case for the hierarchical dimensional approach within psycho-oncology, in particular the Hierarchical Taxonomy of Psychopathology (HiTOP). We discuss not only the potential utility of HiTOP to research and clinical applications within psycho-oncology, but also its limitations, and what is required to apply this approach within cancer survivorship., Competing Interests: Declaration of interests D.H., R.K., R.F.K., A.G.C.W., and M.K.F. are members of the HiTOP Consortium. Otherwise, the authors declare no conflicts of interest., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Relationships between epigenetic aging markers and psychosocial variables such as socioeconomic status and stress have been well-documented, but are often examined cross-sectionally or retrospectively, and have tended to focus on objective markers of SES or major life events. Here, we examined associations between psychosocial variables, including measures of socioeconomic status and social stress, and epigenetic aging markers in adulthood, using longitudinal data spanning three decades from the Midlife in the United States (MIDUS) study. The largest effects were observed for epigenetic markers of change in health, such as DunedinPACE and GrimAge, and for associations involving education, income, net assets, general social stress, inequality-related stress, and financial stress. Analyses of polygenic indices suggests that at least in the case of education, the link to epigenetic aging cannot be accounted for by common genetic variants., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Having associations with a range of adverse physical health outcomes including mortality, loneliness is increasingly recognized as a pressing public health concern, but the mechanisms studied to date do not yet explain all loneliness-related health risk. We sought to evaluate whether epigenetic influences on DNA methylation could help explain the relationship between loneliness and health. To do so, we first estimated associations between loneliness and epigenetic age acceleration (EAA) in a subsample of participants in the study of midlife in the United States ( n = 1,310), before testing whether EAA mediated and/or moderated the association between loneliness and the onset of chronic health conditions in older adulthood ( n = 445 completing longitudinal follow-ups). Greater loneliness was weakly associated with greater EAA in the Horvath, DunedinPACE, and GrimAge measures after accounting for demographic (0.08 ≤ β ≤ 0.11) and behavioral (0.06 ≤ β ≤ 0.08) covariates. Loneliness also predicted increases in chronic condition counts and these effects were more pronounced for individuals with higher DunedinPACE EAA values (interaction term β = 0.09, p = .009), suggesting possible synergistic impacts. EAA measures appear to be promising in helping to understand individual variations in the health impacts of loneliness, but the specific mechanisms involved require further research. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Objective: Maladaptive personality traits have been implicated in romantic relationship dissatisfaction, but the etiology of those links and the degree to which they extend to other types of relationships are unclear. The purpose of this study was to examine associations between maladaptive personality traits and satisfaction in various relationships using a co-twin control design to identify potential environmental contributions., Method: The sample consisted of 1340 older adult twin participants from the Minnesota Twin Registry (M age  = 70.3) that completed the Personality Inventory for DSM-5 Faceted Brief Form and Network of Relationships Inventory (Revised for Older Adults)., Results: Several maladaptive personality traits were phenotypically associated with relationship dissatisfaction, with detachment and negative affect having the largest effects. Further, within twin pair differences in detachment and negative affect were associated with greater relationship dissatisfaction, suggesting that observed associations were mediated partly by the unique environment, not solely the result of genetic and familial confounding. Both phenotypic and co-twin associations were strongest overall in the romantic partner relationship., Conclusion: These findings support the notion that maladaptive personality traits are implicated in interpersonal dysfunction across multiple domains., (© 2024 The Author(s). Journal of Personality published by Wiley Periodicals LLC.)

Objective: Using a large longitudinal sample of adults from the Midlife in the United States (MIDUS) study, the present study extended a recently developed hierarchical model to determine how best to model the accumulation of stressors, and to determine whether the rate of change in stressors or traditional composite scores of stressors are stronger predictors of health outcomes., Method: We used factor analysis to estimate a stress-factor score and then, to operationalize the accumulation of stressors we examined five approaches to aggregating information about repeated exposures to multiple stressors. The predictive validity of these approaches was then assessed in relation to different health outcomes., Results: The prediction of chronic conditions, body mass index, difficulty with activities of daily living, executive function, and episodic memory later in life was strongest when the accumulation of stressors was modeled using total area under the curve (AUC) of estimated factor scores, compared to composite scores that have traditionally been used in studies of cumulative stress, as well as linear rates of change., Conclusions: Like endogenous, biological markers of stress reactivity, AUC for individual trajectories of self-reported stressors shows promise as a data reduction technique to model the accumulation of stressors in longitudinal studies. Overall, our results indicate that considering different quantitative models is critical to understanding the sequelae and predictive power of psychosocial stressors from midlife to late adulthood., (Published by Elsevier Ltd.)

Risk of sleep disturbances depends on individuals' personality, and a large body of evidence indicates that individuals prone to neuroticism, impulsivity, and (low) extraversion are more likely to experience them. Origins of these associations are unclear, but common genetic background may play an important role. Participants included 405 twin pairs (mean age of 54 years; 59% female) from the National Survey of Midlife Development in the United States (MIDUS) who reported on their personality traits (broad and specific), as well as sleep disturbances (problems with falling asleep, staying asleep, waking early, and feeling unrested). Uni- and bivariate biometric decompositions evaluated contributions of genetic and environmental factors to associations between personality and poor sleep, as well as unique contributions from individual traits. Neuroticism, extraversion, conscientiousness, and aggressiveness were the strongest phenotypic predictors of poor sleep. Genetic sources of covariance were about twice as large as non-shared environmental sources, and only shared genetic background accounted for links between aggressiveness and poor sleep. Neuroticism and extraversion accounted for most of the genetic overlap between personality and sleep disturbances. The findings shed light on developmental antecedents of ties between personality and poor sleep, suggesting a larger role of common genetic background than idiosyncratic life experiences. The results also suggest that emotion-related traits play the most important role for poor sleep, compared to other personality traits, and may partially account for genetic associations with other traits., (© 2023 The Authors. Journal of Sleep Research published by John Wiley & Sons Ltd on behalf of European Sleep Research Society.)

Quantitative, empirical approaches to establishing the structure of psychopathology hold promise to improve on traditional psychiatric classification systems. The Hierarchical Taxonomy of Psychopathology (HiTOP) is a framework that summarizes the substantial and growing body of quantitative evidence on the structure of psychopathology. To achieve its aims, HiTOP must incorporate emerging research in a systematic, ongoing fashion. In this article, we describe the historical context and grounding of the principles and procedures for revising the HiTOP framework. Informed by strengths and shortcomings of previous classification systems, the proposed revisions protocol is a formalized system focused around three pillars: (a) prioritizing systematic evaluation of quantitative evidence by a set of transparent criteria and processes, (b) balancing stability with flexibility, and (c) promoting inclusion over gatekeeping in all aspects of the process. We detail how the revisions protocol will be applied in practice, including the scientific and administrative aspects of the process. Additionally, we describe areas of the HiTOP structure that will be a focus of early revisions and outline challenges for the revisions protocol moving forward. The proposed revisions protocol is designed to ensure that the HiTOP framework reflects the current state of scientific knowledge on the structure of psychopathology and fulfils its potential to advance clinical research and practice. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Loneliness has broad public health importance, especially in older adulthood, and there is some evidence suggesting it is associated with several personality disorders (PDs). The etiology of these PD-loneliness associations, however, has rarely been studied, especially in the context of the maladaptive traits of the DSM-5 alternative model of personality disorder (AMPD). To address these limitations, we estimated phenotypic, genetic, and unique environmental associations between loneliness and maladaptive personality traits in a sample of older adults from the Minnesota Twin Registry ( n = 1,356, M age = 70.4). Loneliness was moderately to strongly associated with each of the AMPD domains of negative affect, detachment, antagonism, disinhibition, and psychoticism ( r = .22-.58), with evidence of both genetic ( r g = .45-.75) and unique environmental ( r e = .10-.48) influences explaining the associations to varying degrees. We argue that loneliness may be an underappreciated concomitant of personality pathology, with PD traits perhaps underlying its development. Indeed, these findings suggest that loneliness may be a manifestation of the genetic and environmental forces that also lead to pathological personality variation. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Confirmatory factor analysis (CFA) and its bifactor models are popular in empirical investigations of the factor structure of psychological constructs. CFA offers straightforward hypothesis testing but has notable pitfalls, such as the imposition of strict assumptions (i.e., simple structure) that obscure unmodeled complexity. Due to the limitations of bifactor CFAs, they have yielded anomalous results across samples and studies that suggest model misspecification (e.g., evaporating specific factors and unexpected loadings). We propose the use of exploratory factor analysis (EFA) to evaluate the structural validity of CFA solutions-either before or after the estimation of more restrictive CFA models-to (a) identify model misspecifications that may drive anomalous estimates and (b) confirm CFA models by examining whether hypothesized structures emerge with limited researcher input. We evaluated the degree to which predominant factor structures were invariant across contexts along the exploratory-confirmatory continuum and demonstrate how poor methodological choices can distort results and impede theory development. All CFA models fit well, but there were numerous differences in replicability and substantive interpretability. Several similarities emerged between bifactor CFA and EFA models, including evidence of overextraction, the collapse of specific factors onto the general factor, and subsequent shifts in how the general factor was defined. We situate these methodological shortcomings within the broader literature on structural models of psychopathology, articulate implications for theories (such as the p -factor) that are borne out of factor analysis, outline several remedies for problems encountered when performing exploratory bifactor analysis, and propose alternative specifications for confirmatory bifactor models. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Genome-wide association studies (GWAS) provide biological insights into disease onset and progression and have potential to produce clinically useful biomarkers. A growing body of GWAS focuses on quantitative and transdiagnostic phenotypic targets, such as symptom severity or biological markers, to enhance gene discovery and the translational utility of genetic findings. The current review discusses such phenotypic approaches in GWAS across major psychiatric disorders. We identify themes and recommendations that emerge from the literature to date, including issues of sample size, reliability, convergent validity, sources of phenotypic information, phenotypes based on biological and behavioral markers such as neuroimaging and chronotype, and longitudinal phenotypes. We also discuss insights from multi-trait methods such as genomic structural equation modelling. These provide insight into how hierarchical 'splitting' and 'lumping' approaches can be applied to both diagnostic and dimensional phenotypes to model clinical heterogeneity and comorbidity. Overall, dimensional and transdiagnostic phenotypes have enhanced gene discovery in many psychiatric conditions and promises to yield fruitful GWAS targets in the years to come., (© 2023. The Author(s), under exclusive licence to Springer Nature Limited.)

The Hierarchical Taxonomy of Psychopathology (HiTOP) is a novel diagnostic system grounded in empirical research into the architecture of mental illness. Its basic units are continuous dimensions-as opposed to categories-that are organized into a hierarchy according to patterns of symptom co-occurrence observed in quantitative studies. Previous HiTOP discussions have focused on existing evidence regarding the model's structure and ability to account for neurobiological, social, cultural, and clinical variation. The present article looks ahead to the next decade of applied research and clinical practice using the HiTOP rubric. We highlight 10 topics where HiTOP has the potential to make significant breakthroughs. Research areas include genetic influences, environmental contributions, neural mechanisms, real-time dynamics, and lifespan development of psychopathology. We also discuss development of novel assessments, forecasting methods, and treatments. Finally, we consider implications for clinicians and educators. For each of these domains, we propose directions for future research and venture hypotheses as to what HiTOP will reveal about psychopathology. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The Personality Inventory for DSM-5 (PID-5) is the primary tool for assessing maladaptive personality traits within the DSM-5 alternative model for personality disorders. Evidence has begun to accumulate on the replicability and measurement invariance of its five-domain factor structure across countries, clinical and community populations, and sex, but its equivalency across racial groups within a given country is largely unstudied. Attempting to replicate the evidence of noninvariance demonstrated by Bagby et al. (2022), we examined the factor structure of the PID-5 across White Americans ( n = 612) and Black Americans ( n = 613) within the United States. The five-domain structure emerged across both samples with reasonably congruent factor loadings. Therefore, we tested for measurement invariance using the 13-step framework advocated by Marsh et al. (2009) for personality data. We found support for the PID-5's comparability across racial groups, offering some preliminary backing for its use with Black Americans, though additional evidence is needed to clarify the conflicting results and further validate the instrument. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Objective: Loneliness represents a public health threat given its central role in predicting adverse mental and physical health outcomes. Prior research has established four of the Big Five personality traits as consistent cross-sectional predictors of loneliness in largely western, White samples. However, it is not clear if the personality predictors of loneliness vary across cultures., Method: The present study estimates associations between the Big Five traits and loneliness across distinct samples of White American, Black American, and Japanese adults (n = 6051 at T1). Confirmatory factor analysis and exploratory structural equation modeling were used to examine measurement invariance properties of the Big Five and loneliness across these groups. The factor structures were then carried forward to estimate associations between personality and loneliness across two assessments waves using structural equation modeling., Results: While Neuroticism was a strong predictor across groups, low Extraversion was more predictive of loneliness in Japan than in the U.S., and low Conscientiousness was only a significant predictor in the U.S., Conclusions: Previous literature offers a framework for interpreting these findings in that loneliness may be shaped comparatively more through interconnectedness in Japanese culture, while, in the U.S., individual goals and personal romantic expectations are more salient., (© 2022 The Authors. Journal of Personality published by Wiley Periodicals LLC.)

Background: Most psychiatric disorders are associated with several risk factors, but a few underlying psychopathological dimensions account for the common co-occurrence of disorders. If these underlying psychopathological dimensions mediate associations of the risk factors with psychiatric disorders, it would support a trans-diagnostic orientation to etiological research and treatment development., Method: An analysis was performed of the 2012-2013 National Epidemiologic Survey on Alcohol and Related Conditions III (NESARC-III), a US nationally representative sample of non-institutionalized civilian adults, focusing on respondents who were aged ⩾21 ( n = 34 712). Structural equation modeling was used to identify the psychopathological dimensions underlying psychiatric disorders; to examine associations between risk factors, psychopathological dimensions and individual disorders; and to test whether associations of risk factors occurring earlier in life were mediated by risk factors occurring later in life., Results: A bifactor model of 13 axis I disorders provided a good fit (CFI = 0.987, TLI = 0.982, and RMSEA = 0.011) including an overall psychopathology factor as measured by all 13 disorders and 2 specific factors, one for externalizing disorders and one for fear-related disorders. A substantial proportion of the total effects of the risk factors occurring early in life were indirectly mediated through factors occurring later in life. All risk factors showed a significant total effect on the general psychopathology, externalizing and fear-related factors. Only 23 of 325 direct associations of risk factors with psychiatric disorders achieved statistical significance., Conclusion: Most risk factors for psychiatric disorders are mediated through broad psychopathological dimensions. The central role of these dimensions supports trans-diagnostic etiological and intervention research.

Objective: The causes of substance use disorders (SUDs) are largely unknown and the effectiveness of their treatments is limited. One crucial impediment to research and treatment progress surrounds how SUDs are classified and diagnosed. Given the substantial heterogeneity among individuals diagnosed with a given SUD (e.g., alcohol use disorder [AUD]), identifying novel research and treatment targets and developing new study designs is daunting., Method: In this article, we review and integrate two recently developed frameworks, the National Institute on Drug Abuse's Phenotyping Assessment Battery (NIDA PhAB) and the Hierarchical Taxonomy of Psychopathology (HiTOP), that hope to accelerate progress in understanding the causes and consequences of psychopathology by means of deep phenotyping, or finer-grained analysis of phenotypes., Results and Conclusions: NIDA PhAB focuses on addiction-related processes across multiple units of analysis, whereas HiTOP focuses on clinical phenotypes and covers a broader range of psychopathology. We highlight that NIDA PhAB and HiTOP together provide deep and broad characterizations of people diagnosed with SUDs and complement each other in their efforts to address widely known limitations of traditional classification systems and their diagnostic categories. Next, we show how NIDA PhAB and HiTOP can be integrated to facilitate optimal rich phenotyping of addiction-related phenomena. Finally, we argue that such deep phenotyping promises to advance our understanding of the neurobiology of SUD and addiction, which will guide the development of personalized medicine and interventions. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Dimensional models of obsessive-compulsive (OC) symptoms, as seen in obsessive-compulsive disorder (OCD), are instrumental in explaining the heterogeneity observed in this condition and for informing cutting-edge assessments. Prior structural work in this area finds that OC symptoms cross-load under both Negative Affectivity and Psychoticism traits within the Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM-5 ) Alternative Model of Personality Disorder (AMPD). However, tests of OC symptoms in conjunction with assessments of the full AMPD structure and its 25 lower-level facets representing narrower symptom content are lacking. We applied joint exploratory factor analysis to an AMPD measure (Personality Inventory for DSM-5 ; PID-5) and OC symptom data from two separate samples (total N = 1,506) to locate OC symptoms within AMPD space. OC symptoms cross-loaded on Negative Affectivity, Psychoticism, and on the low end of Disinhibition. We also report exploratory analyses of OC symptom subscales with PID-5 variables. Results are discussed in the context OC symptoms' location in PID-5 space, implications for assessment, and placement of OCD within the Hierarchical Taxonomy of Psychopathology.

The Externalizing Spectrum Inventory-Brief Form (ESI-BF) measures tendencies toward disinhibition, lack of control, aggression, and substance use. This study adapts the ESI-BF to the Spanish population and assesses its psychometric properties. The study included 742 community adults obtained by stratified random sampling with proportional allocation according to gender, age, and geographical area of the Spanish territory and a clinical sample consisting of 333 patients. All participants completed the Personality Inventory for Diagnostic and Statistical Manual of Mental Disorders, fifth edition (PID-5) and the Alcohol Substance Dependence Severity Scale, in addition to the Spanish version of the ESI-BF. Reliability was quantified using McDonald's omega and Cronbach's α reliability coefficients. Validity evidences were studied applying confirmatory factor analysis (CFA) and correlations. Results indicated adequate reliability of scores on the ESI-BF's general factors and most of its facets. Regarding internal structure, and in line with previous studies, both symmetric and S-1 hierarchical two-subfactor (bifactor) emerged as the best-fitting models. Considering both criticisms of symmetric models and parsimony, the S-1 bifactor model, which showed configural invariance across gender and samples, was retained. Validity evidence based on the relationship with other measures of personality and alcohol consumption show correlations values theoretically expected in both clinical and community samples. Findings suggest that the Spanish adaptation of the ESI-BF shows functional near-equivalence to the original version. Its effective psychometric properties make it useful instrument for further research related to the externalizing spectrum. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Explicitly or implicitly, psychopathology is often defined in terms of statistical deviance, requiring that an affected individual be sufficiently distant from the norm in some dimension of psychological or neural function. In recent decades, the dominant paradigm in psychiatric research has focused primarily on deviance in neural function, treating psychopathology as disease of the brain. We argue that these conceptualizations are misguided. We recently proposed a novel theory of psychopathology, based in cybernetics and drawing additionally from neuroscience, psychometrics, and personality theory (DeYoung & Krueger, 2018a). In this theory, deviations from the norm in psychological and neural functioning serve as important risk factors for psychopathology but are not in themselves necessary or sufficient to identify psychopathology, which requires the presence of cybernetic dysfunction. Psychopathology is defined as persistent failure to move toward one's goals, due to failure to generate effective new goals, interpretations, or strategies when existing ones prove unsuccessful. We argue that adopting a cybernetic theory to replace conceptualizations of psychopathology as statistical deviance or brain disease would facilitate improvements in measurement, diagnosis, prevention, and treatment of psychopathology. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Prominent scholars suggested that the impulsive-obsessive compulsive continuum may represent a framework to understand both substance and behavioral addictions. However, the characterization of pathological buying (PB) and problem gambling (PG) within the compulsive-impulsive spectrum has not been extensively investigated. To explore the relationships among PB, PG, alcohol and substance abuse, DSM-5 obsessive-compulsive and related disorders, and impulsive dimensions, a sample of 1,005 Italian community-dwelling adult participants (55.5% female), was administered self-reported measures of PB, PG, and other theoretically-relevant constructs. We expected to observe a multidimensional structure in our data; moreover, DSM-5 obsessive compulsive and related disorders were hypothesized to be accounted for by a common dimension. Three dimensions were identified and replicated across two different, non-redundant methods (i.e., exploratory graph analysis and exploratory factor analysis), namely, substance use and gambling, obsessive and compulsive phenomena, and impulsivity dimensions. Specifically, PG seemed to represent a behavioral variant of addiction vulnerability, PB seemed more akin to obsessive-compulsive spectrum disorders, and disinhibition dimension represented the common core of negative urgency, lack of premeditation, lack of perseverance, sensation seeking (SS), and positive urgency. Our findings may be helpful in improving our knowledge on the similarities and differences between PB and PG., Competing Interests: Declaration of Competing Interest Antonella Somma, Robert F. Krueger, Kristian E. Markon, Giulia Gialdi, Nicole Di Leva, Elena Falcone, Marisole Villa, Claudia Frau, and Andrea Fossati, (Copyright © 2023 Elsevier B.V. All rights reserved.)

To examine the hierarchical structure of psychopathology and dysfunctional personality domains, 2416 Italian community-dwelling adult volunteers were administered a set of psychometrically sound psychopathology measures and the Personality Inventory for DSM-5 Brief Form+ (PID-5-BF+). Parallel analysis, minimum average partial, and very simple structure results suggested that 1-6 principal components (PCs) should be retained. Goldberg's bass-ackwards model of the joint psychopathology measure and PID-5-BF+ ipsatized domain scale correlation matrix evidenced a hierarchical structure that was consistent with the working model proposed by the Hierarchical Taxonomy of Psychopathology (HiTOP) consortium. Hierarchical agglomerative cluster analysis around latent variables of the psychopathology indicators and PID-5-BF+ domain scales recovered four latent dimensions, which were akin to the corresponding bass-ackwards components and nicely reproduced the HiTOP Internalizing, Externalizing, Thought Disorder, and Eating Pathology dimensions., (© 2022 John Wiley & Sons Ltd.)

The current study examined whether personality domains have nonmonotonic relationships with functional outcomes, specifically in relation to quality of life and impairment. Four samples were utilized, which were drawn from the United States and Germany. Personality trait domains were measured via the IPIP-NEO and PID-5; quality of life (QoL) was measured with the WHOQOL-BREF, and impairment was measured using the WHODAS-2.0. The PID-5 was analyzed in all four samples. Two-line testing, which fits two spline regression lines separated at a break point, was conducted to evaluate potential nonmonotonicity of the relationship between personality traits and quality of life. Overall, results demonstrated little support for nonmonotonic relationships in the PID-5 and IPIP-NEO dimensions. Rather, our results indicate that there is one clear pathological pole of major domains of personality that is associated with lower quality of life and increased impairment. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Introduction: Exposure to discrimination has emerged as a risk factor for obesity. It remains unclear, however, whether the genotype of the individual can modulate the sensitivity or response to discrimination exposure (gene × environment interaction) or increase the likelihood of experiencing discrimination (gene-environment correlation)., Methods: This was an observational study of 4,102 white/European Americans in the Health and Retirement Study with self-reported, biological assessments, and genotyped data from 2006 to 2014. Discrimination was operationalized using the average of nine Everyday Discrimination Scale items. Polygenic risk scores (PRSs) for body mass index (BMI) and waist circumference (WC) were calculated using the weighted sum of risk alleles based on studies conducted by the Genetic Investigation of Anthropometric Traits (GIANT) consortium., Results: We found that greater PRS-BMI was significantly associated with more reports of discrimination (β = 0.04 ± 0.02; p = 0.037). Further analysis showed that measured BMI partially mediated the association between PRS-BMI and discrimination. There was no evidence that the association between discrimination and BMI, or the association between discrimination and WC, differed by PRS-BMI or PRS-WC, respectively., Conclusion: Our findings suggest that individuals with genetic liability for obesity may experience greater discrimination in their lifetime, consistent with a gene-environment correlation hypothesis. There was no evidence of a gene-environment interaction. More genome-wide association studies in diverse populations are needed to improve generalizability of study findings. In the meantime, prevention and clinical intervention efforts that seek to reduce exposure to all forms of discrimination may help reduce obesity at the population level., (© 2023 The Author(s). Published by S. Karger AG, Basel.)

Addressing social disparities in health and well-being requires understanding how the effects of discrimination become biologically embedded, and how embedding processes might vary across different demographic contexts. Emerging research suggests that a threat-related gene expression response may contribute to social disparities in health. We tested a contextual vulnerability model of discrimination embedding using an empirical intersectionality (interaction discovery) analysis of pro-inflammatory gene expression in a national sample of non-institutionalized, English-speaking adults with RNA biomarker data (n = 543). At the time of data collection, the average age of participants was 55 years (SD = 13.26) and approximately half identified as female (50.46%). Most participants identified as White (∼73%) and had some college experience (∼60%). Results showed significant variation in the strength of association between daily discrimination and inflammatory gene expression by race and sex ( b  = -0.022; 95% CI:-0.038,-0.005, p  = .009) with the estimated marginal association larger for racially-minoritized males ( b  = 0.007; 95% CI:-0.003,0.017, p  = .163), compared to White males ( b  = -0.006; 95% CI:-0.013,0.001, p  = .076). This study indicates that the link between daily discrimination and inflammatory gene expression may vary by sociodemographic characteristics. To improve initiatives and policies aimed at ameliorating disparities within populations, greater attention is needed to understand how interlocking systems of inequalities contribute to physiological health., Competing Interests: The authors have no conflict of interest., (© 2022 The Authors.)

As a strong risk factor for mortality, individual differences in loneliness are of clear public health significance. Four of the Big Five traits have emerged as cross-sectional correlates, but the etiology of these links is unclear, as are relations with more specific personality facets. Thus, we estimated phenotypic, genetic, and environmental associations between loneliness and both broader and narrower personality dimensions. Traits that indexed Negative Emotionality (e.g., Neuroticism, Stress Reactivity, Alienation) and low Positive Emotionality (e.g., low Extraversion, low Well-Being) had the strongest associations with loneliness, though low Conscientiousness, low Agreeableness, and high Aggression were also implicated. These associations were explained by both genetic (0.30<|r g |<0.80) and unique environmental (0.10<|r e |<0.35) influences, consistent with an etiology of loneliness involving several personality domains., Competing Interests: We have no known conflict of interest to disclose.

Criterion B of the alternative model of personality disorder in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), outlines maladaptive trait dimensions that characterize personality disorders. Emerging evidence from bifactor confirmatory factor analyses suggest these traits are related at a higher order level by a general factor of personality disorder (g-PD). Further, emerging evidence points to traits most closely related to borderline personality disorder as underpinnings of g-PD. Further investigation is required to better understand the shared basis of personality disorder, with attention to the reliability and validity of g-PD. The g-PD theory was examined in a clinical (n = 242), and community sample (n = 252) of adults, using a brief form of the Personality Inventory for DSM-5 (PID-5). Structural analyses supported a correlated 6-factor model and a bifactor solution, validating the g-PD structure. Reliability indices supported the unidimensionality, reliability, and replicability of the g-PD factor. The strongest loading and most unidimensional items on the g-PD factors were from the Negative Affectivity and Disinhibition trait domains, partially replicating the trait profile of borderline personality disorder traits. In validity analyses, the nomological network of the general and specific factors were examined. g-PD was more strongly correlated with internalizing measures and impairment than specific factors, but specific factors were more strongly correlated with thought disorder and externalizing measures than g-PD. Our results support the nature and reliability of a general factor characterized by Negative Affectivity and Disinhibition unifying personality disorder traits in a brief form of the PID-5. Implications for the alternative model of personality disorder, PID-5, and g-PD theory are discussed. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Background: An ongoing positive revolution advocates a new approach to the individual differences in human emotions, cognitions, and behavior that cause distress and impair functioning. This revolution endorses the long-proposed, but still unrealized rejection of the medical model, which attributes psychological problems to a sick brain or mind. In addition, it advocates replacing the binary diagnoses used in ICD and DSM, which assume a clear discontinuity between "normal" and "abnormal" functioning, with continuous dimensions of psychological problems., Method: Selective literature review., Results and Discussion: Seven strong reasons are provided for adopting a dimensional approach., Competing Interests: Benjamin B. Lahey and Henning Tiemeier both serve on the JCPP Advances Editorial Advisory Board. Robert F. Krueger declares that they have no competing or potential conflicts of interest., (© 2022 The Authors. JCPP Advances published by John Wiley & Sons Ltd on behalf of Association for Child and Adolescent Mental Health.)

Background: Body mass index (BMI) shows strong continuity over childhood and adolescence and high childhood BMI is the strongest predictor of adult obesity. Genetic factors strongly contribute to this continuity, but it is still poorly known how their contribution changes over childhood and adolescence. Thus, we used the genetic twin design to estimate the genetic correlations of BMI from infancy to adulthood and compared them to the genetic correlations of height., Methods: We pooled individual level data from 25 longitudinal twin cohorts including 38,530 complete twin pairs and having 283,766 longitudinal height and weight measures. The data were analyzed using Cholesky decomposition offering genetic and environmental correlations of BMI and height between all age combinations from 1 to 19 years of age., Results: The genetic correlations of BMI and height were stronger than the trait correlations. For BMI, we found that genetic correlations decreased as the age between the assessments increased, a trend that was especially visible from early to middle childhood. In contrast, for height, the genetic correlations were strong between all ages. Age-to-age correlations between environmental factors shared by co-twins were found for BMI in early childhood but disappeared altogether by middle childhood. For height, shared environmental correlations persisted from infancy to adulthood., Conclusions: Our results suggest that the genes affecting BMI change over childhood and adolescence leading to decreasing age-to-age genetic correlations. This change is especially visible from early to middle childhood indicating that new genetic factors start to affect BMI in middle childhood. Identifying mediating pathways of these genetic factors can open possibilities for interventions, especially for those children with high genetic predisposition to adult obesity., (© 2022. The Author(s).)

Objective: The present study tested the interactive effects of childhood adversity and polygenic risk scores for waist circumference (PRS-WC) on waist circumference (WC). Consistent with a diathesis-stress model, we hypothesize that the relationship between PRS-WC and WC will be magnified by increasing levels of childhood adversity., Methods: Observational study of 7976 adults (6347 European Americans and 1629 African Americans) in the Health and Retirement Study with genotyped data. PRS-WC were calculated by the HRS administrative core using the weighted sum of risk alleles based on a genome-wide association study conducted by the Genetic Investigation of Anthropometric Traits (GIANT) consortium. Childhood adversity was operationalized using a sum score of three traumatic events that occurred before the age of 18 years., Results: There was a statistically significant interaction between PRS-WC and childhood adversity for European Americans, whereby the magnitude of PRS-WC predicting WC increased as the number of adverse events increased., Conclusions: This study supports the idea of the interactive effects of genetic risks and childhood adversity on obesity. More epidemiological studies, particularly with understudied populations, are needed to better understand the roles that genetics and childhood adversity play on the development and progression of obesity., (© 2022. The Author(s), under exclusive licence to Springer Nature Limited.)

We advocate for an integrative long-term perspective on time, noting that culture changes on timescales amenable to behavioral genetic study with appropriate design and modeling extensions. We note the need for replications of behavioral genetic studies to examine model invariance across long-term timescales, which would afford examination of specified as well as unspecified cultural moderators of behavioral genetic effects.

As evidenced by our exchange with Bader and Moshagen (2022), the degree to which model fit indices can and should be used for the purpose of model selection remains a contentious topic. Here, we make three core points. First, we discuss the common misconception about fit statistics' abilities to identify the "best model," arguing that mechanical application of model fit indices contributes to faulty inferences in the field of quantitative psychopathology. We illustrate the consequences of this practice through examples in the literature. Second, we highlight the parsimony-adjacent concept of fitting propensity, which is not accounted for by commonly used fit statistics. Finally, we present specific strategies to overcome interpretative bias and increase generalizability of study results and stress the importance of carefully balancing substantive and statistical criteria in model selection scenarios. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

The Hierarchical Taxonomy of Psychopathology (HiTOP) has emerged out of the quantitative approach to psychiatric nosology. This approach identifies psychopathology constructs based on patterns of co-variation among signs and symptoms. The initial HiTOP model, which was published in 2017, is based on a large literature that spans decades of research. HiTOP is a living model that undergoes revision as new data become available. Here we discuss advantages and practical considerations of using this system in psychiatric practice and research. We especially highlight limitations of HiTOP and ongoing efforts to address them. We describe differences and similarities between HiTOP and existing diagnostic systems. Next, we review the types of evidence that informed development of HiTOP, including populations in which it has been studied and data on its validity. The paper also describes how HiTOP can facilitate research on genetic and environmental causes of psychopathology as well as the search for neurobiologic mechanisms and novel treatments. Furthermore, we consider implications for public health programs and prevention of mental disorders. We also review data on clinical utility and illustrate clinical application of HiTOP. Importantly, the model is based on measures and practices that are already used widely in clinical settings. HiTOP offers a way to organize and formalize these techniques. This model already can contribute to progress in psychiatry and complement traditional nosologies. Moreover, HiTOP seeks to facilitate research on linkages between phenotypes and biological processes, which may enable construction of a system that encompasses both biomarkers and precise clinical description.

The central goal of clinical psychology is to reduce the suffering caused by mental health conditions. Anxiety, mood, psychosis, substance use, personality, and other mental disorders impose an immense burden on global public health and the economy. Tackling this burden will require the development and dissemination of intervention strategies that are more effective, sustainable, and equitable. Clinical psychology is uniquely poised to serve as a transdisciplinary hub for this work. But rising to this challengerequires an honest reckoning with the strengths and weaknesses of current training practices. Building on new data, we identify the most important challenges to training the next generation of clinical scientists. We provide specific recommendations for the full spectrum of stakeholders-from funders, accreditors, and universities to program directors, faculty, and students-with an emphasis on sustainable solutions that promote scientific rigor and discovery and enhance the mental health of clinical scientists and the public alike.

Socioeconomic status (SES) and discrimination have been implicated as social determinants of health and health disparities. Yet, very little research has been done to assess their contributing role in Black-White disparities in inflammation. Using data from the Midlife in the United States (2004-2006), we conducted Oaxaca-Blinder decomposition analysis to quantify the extent to which three indicators of SES (i.e., education, household income, and employment status) and three forms of discrimination exposures (i.e., everyday, lifetime, and workplace discrimination) explained Black-White differences in inflammation. Education, particularly having a college degree or more, explained 16.88% of the differences between Blacks and Whites. There was no evidence that household income and employment status explained Black-White inflammation differences. Lifetime discrimination significantly explained 18.18% of Black-White difference in inflammation burden. There was no evidence that everyday and workplace discrimination explained Black-White difference in inflammation burden. Together, the predictors explained 44.16% of inflammation differences between Black and White participants. Education and lifetime exposure to discrimination may play a role in inflammation disparities. Further research is needed to examine other dimensions of SES (e.g., wealth) and discrimination (e.g., racial segregation) that are associated with health to better understand the contributions of these key social determinants of Black-White inflammation disparities., (Copyright © 2022 Elsevier Inc. All rights reserved.)

While Diagnostic and Statistical Manual of Mental Disorders-Fifth edition ( DSM-5 ) Section III and ICD-11 (International Classification of Diseases 11th-Revision) both allow for dimensional assessment of personality pathology, the models differ in the definition of maladaptive traits. In this study, we pursued the goal of developing a short and reliable assessment for maladaptive traits, which is compatible with both models, using the item pool of the Personality Inventory for DSM-5 (PID-5). To this aim, we applied ant colony optimization algorithms in English- and German-speaking samples comprising a total N of 2,927. This procedure yielded a 34-item measure with a hierarchical latent structure including six maladaptive trait domains and 17 trait facets, the "Personality Inventory for DSM-5 , Brief Form Plus" (PID5BF+). While latent structure, reliability, and criterion validity were ascertained in the original and in two separate validation samples ( n = 849, n = 493) and the measure was able to discriminate personality disorders from other diagnoses in a clinical subsample, results suggest further modifications for capturing ICD-11 Anankastia.

This commentary discusses questions and misconceptions about HiTOP raised by Haeffel et al. (2021). We explain what the system classifies and why it is descriptive and atheoretical, highlighting benefits and limitations of this approach. We clarify why the system is organized according to patterns of covariation or comorbidity among signs and symptoms of psychopathology, and we discuss how it is designed to be falsifiable and revised in a manner that is responsive to data. We refer to the body of evidence for HiTOP's external validity and for its scientific and clinical utility. We further describe how the system is currently used in clinics. In sum, many of Haeffel et al.'s concerns about HiTOP are unwarranted, and for those concerns that reflect real current limitations of HiTOP, our consortium is working to address them, with the aim of creating a nosology that is comprehensive and useful to both scientists and clinicians.

The Hierarchical Taxonomy of Psychopathology (HiTOP) is an empirically and quantitatively derived dimensional classification system designed to describe the features of psychopathology and, ultimately, to replace categorical nosologies. Among the constructs that HiTOP organizes are "symptom components" and "maladaptive traits," but past HiTOP publications have not fully explicated the distinction between symptoms and traits. We propose working definitions of symptoms and traits and explore challenges, exceptions, and remaining questions. Specifically, we propose that the only systematic difference between symptoms and traits in HiTOP is one of time frame. Maladaptive traits are dispositional constructs that describe persistent tendencies to manifest features of psychopathology, whereas symptoms are features of psychopathology as they are manifest during any specific time period (from moments to days to months). This has the consequence that almost every HiTOP dimension, at any level of the hierarchy, can be assessed as either a trait or a symptom dimension, by adjusting the framing of the assessment. We discuss the implications of these definitions for causal models of the relations between symptoms and traits and for distinctions between psychopathology, normal personality variation, and dysfunction., (© 2020 Wiley Periodicals LLC.)

The Hierarchical Taxonomy of Psychopathology (HiTOP) is a quantitative nosological system that addresses shortcomings of traditional mental disorder diagnoses, including arbitrary boundaries between psychopathology and normality, frequent disorder co-occurrence, substantial heterogeneity within disorders, and diagnostic unreliability over time and across clinicians. This paper reviews evidence on the validity and utility of the internalizing and somatoform spectra of HiTOP, which together provide support for an emotional dysfunction superspectrum. These spectra are composed of homogeneous symptom and maladaptive trait dimensions currently subsumed within multiple diagnostic classes, including depressive, anxiety, trauma-related, eating, bipolar, and somatic symptom disorders, as well as sexual dysfunction and aspects of personality disorders. Dimensions falling within the emotional dysfunction superspectrum are broadly linked to individual differences in negative affect/neuroticism. Extensive evidence establishes that dimensions falling within the superspectrum share genetic diatheses, environmental risk factors, cognitive and affective difficulties, neural substrates and biomarkers, childhood temperamental antecedents, and treatment response. The structure of these validators mirrors the quantitative structure of the superspectrum, with some correlates more specific to internalizing or somatoform conditions, and others common to both, thereby underlining the hierarchical structure of the domain. Compared to traditional diagnoses, the internalizing and somatoform spectra demonstrated substantially improved utility: greater reliability, larger explanatory and predictive power, and greater clinical applicability. Validated measures are currently available to implement the HiTOP system in practice, which can make diagnostic classification more useful, both in research and in the clinic., (© 2022 World Psychiatric Association.)

To assess the relationships between post-traumatic stress disorder (PTSD) components, Hierarchical Taxonomy of Psychopathology (HiTOP) spectra, and dysfunctional personality domains, the Post-Traumatic Checklist for DSM-5 (PCL-5); the Personality Inventory for DSM-5-Brief Form+ (PID-5BF+); and self-report measures of HiTOP Internalizing, Thought Disorders, and Externalizing spectra were administered to 387 trauma-exposed Italian community-dwelling women. Before structural equation modeling (SEM), measurement components of models were assessed using confirmatory factor analyses. Both taxometric and Gaussian mixture analysis results were consistent with a dimensional representation of the PCL-5 scores. SEM results showed that PTSD components, at least as they were operationalized by the PCL-5 scores, were positively, significantly, and substantially associated with HiTOP Internalizing and Thought Disorder Spectra latent dimensions, as well as with Negative Affectivity, Detachment, and Psychoticism personality domains., (© 2021 John Wiley & Sons, Ltd.)

We analyze data from the Minnesota Twin Registry (MTR), combined with the Socioeconomic Survey of Twins (SST), and new mortality data, and contribute to two bodies of literature. First, we demonstrate a beneficial causal effect of education on health and longevity in contrast to other twin-based studies of the US population, which show little or no effect of education on health. Second, we present evidence that is consistent with parental compensation through education for differences in their children's endowments that predict health, but find no evidence that parents reinforce differences in endowments that predict earnings. We argue that there is a bias towards detecting reinforcement both in this paper and in the literature. Despite this bias, we still find statistical evidence of compensating behavior. We account for observed and unobserved confounding factors, sample selection bias, and measurement error in education., (Copyright © 2021. Published by Elsevier B.V.)

Data from the Interplay of Genes and Environment across Multiple Studies (IGEMS) consortium were used to examine predictions of different models of gene-by-environment interaction to understand how genetic variance in self-rated health (SRH) varies at different levels of financial strain. A total of 11,359 individuals from 10 twin studies in Australia, Sweden, and the United States contributed relevant data, including 2,074 monozygotic and 2,623 dizygotic twin pairs. Age ranged from 22 to 98 years, with a mean age of 61.05 (SD = 13.24). A factor model was used to create a harmonized measure of financial strain across studies and items. Twin analyses of genetic and environmental variance for SRH incorporating age, age 2 , sex, and financial strain moderators indicated significant financial strain moderation of genetic influences on self-rated health. Moderation results did not differ across sex or country. Genetic variance for SRH increased as financial strain increased, matching the predictions of the diathesis-stress and social comparison models for components of variance. Under these models, environmental improvements would be expected to reduce genetically based health disparities.

Comparing twins from same- and opposite-sex pairs can provide information on potential sex differences in a variety of outcomes, including socioeconomic-related outcomes such as educational attainment. It has been suggested that this design can be applied to examine the putative role of intrauterine exposure to testosterone for educational attainment, but the evidence is still disputed. Thus, we established an international database of twin data from 11 countries with 88,290 individual dizygotic twins born over 100 years and tested for differences between twins from same- and opposite-sex dizygotic pairs in educational attainment. Effect sizes with 95% confidence intervals (CI) were estimated by linear regression models after adjusting for birth year and twin study cohort. In contrast to the hypothesis, no difference was found in women (β = -0.05 educational years, 95% CI -0.11, 0.02). However, men with a same-sex co-twin were slightly more educated than men having an opposite-sex co-twin (β = 0.14 educational years, 95% CI 0.07, 0.21). No consistent differences in effect sizes were found between individual twin study cohorts representing Europe, the USA, and Australia or over the cohorts born during the 20th century, during which period the sex differences in education reversed favoring women in the latest birth cohorts. Further, no interaction was found with maternal or paternal education. Our results contradict the hypothesis that there would be differences in the intrauterine testosterone levels between same-sex and opposite-sex female twins affecting education. Our findings in men may point to social dynamics within same-sex twin pairs that may benefit men in their educational careers., (Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.)

Objective: The present study tested a hierarchical model of cumulative stress in a large probability sample of adults from the United States., Methods: Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) models were used to develop and test a hierarchical model of cumulative stress. Structural equation models were used to estimate concurrent associations with demographic factors, polygenic risk scores, and physical health outcomes, as well as prospective associations with physical health outcomes., Results: A hierarchical model of cumulative stress was the best-fitting model, with a general "s-factor" capturing the tendency for subordinate dimensions of stress to correlate. Associations with demographic factors and polygenic risk scores for physical and psychological phenotypes provide evidence for the convergent validity of a general s-factor of cumulative stress. The general s-factor and subordinate factors of cumulative stress were also associated with physical health outcomes, concurrently and prospectively, including number of chronic conditions, body mass index, and difficulty with activities of daily living., Conclusions: Like other human individual differences, the co-occurrence of social stressors can be understood using a hierarchical model., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

Perceptions of spiteful behavior are common, distinct from rational fear, and may undergird persecutory ideation. To test this hypothesis and investigate neural mechanisms of persecutory ideation, we employed a novel economic social decision-making task, the Minnesota Trust Game (MTG), during neuroimaging in patients with schizophrenia (n = 30) and community monozygotic (MZ) twins (n = 38; 19 pairs). We examined distinct forms of mistrust, task-related brain activation and connectivity, and investigated relationships with persecutory ideation. We tested whether co-twin discordance on these measurements was correlated to reflect a common source of underlying variance. Across samples persecutory ideation was associated with reduced trust only during the suspiciousness condition, which assessed spite sensitivity given partners had no monetary incentive to betray. Task-based activation contrasts for specific forms of mistrust were limited and unrelated to persecutory ideation. However, task-based connectivity contrasts revealed a dorsal cingulate anterior insula network sensitive to suspicious mistrust, a left frontal-parietal (lF-P) network sensitive to rational mistrust, and a ventral medial/orbital prefrontal (vmPFC/OFC) network that was sensitive to the difference between these forms of mistrust (all p < .005). Higher persecutory ideation was predicted only by reduced connectivity between the vmPFC/OFC and lF-P networks (p = .005), which was only observed when the intentions of the other player were relevant. Moreover, co-twin differences in persecutory ideation predicted co-twin differences in both spite sensitivity and in vmPFC/OFC-lF-P connectivity. This work found that interconnectivity may be particularly important to the complex neurobiology underlying persecutory ideation, and that unique environmental variance causally linked persecutory ideation, decision-making, and brain connectivity., (© 2021 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.)

Traditionally, personality has been conceptualized in terms of dimensions of human experience - habitual ways of thinking, feeling, and behaving. By contrast, psychopathology has traditionally been conceptualized in terms of categories of disorder - disordered thinking, feeling, and behaving. The empirical literature, however, routinely shows that psychopathology does not coalesce into readily distinguishable categories. Indeed, psychopathology tends to delineate dimensions that are relatively similar to dimensions of personality. In this special issue of Personality Neuroscience , authors took up the challenge of reconceptualizing personality and psychopathology in terms of connected and interrelated dimensions, and they considered the utility of pursuing neuroscientific inquiry from this more integrative perspective. In this editorial article, we provide the relevant background to the interface between personality, psychopathology, and neuroscience; summarize contributions to the special issue; and point toward directions for continued research and refinement. All told, it is evident that quantitatively derived, integrative models of personality-psychopathology represent a particularly promising conduit for advancing our understanding of the neurobiological foundation of human experience, both functional and dysfunctional., (© The Author(s) 2021.)

The present study aimed to evaluate base rate estimates, course of, and psychopathology and personality risk factors for COVID-19-related post-traumatic stress disorder (PTSD) in community-dwelling adults during the pandemic. 203 participants from a sample of 811 Italian community-dwelling adults agreed to participate in a nine-month, three-wave (Wave 1: March 2020; Wave 2: June 2020; Wave 3: December 2020) longitudinal study. Participants in the longitudinal study did not differ from the cross-sectional original sample on age, gender, civil status, educational level, occupation, and Italian area of residence. At each wave, participants were administered the PTSD scale of the International Trauma Questionnaire (ITQ), DSM-5 measures of acute stress, dissociation, depression and anxiety, as well as a maladaptive personality domain measure at Wave 1. Participants were instructed to answer to the ITQ items based only on COVID-19 pandemic and related containment measures. The point prevalence estimates of COVID-19 related PTSD at each wave ranged from 11% to 13%; however, up to roughly 23% of our participants experienced clinically relevant PTSD features during nine months of the COVID-19 pandemic in Italy. Multiple logistic regression results showed that experiencing internalizing symptoms (i.e., mostly acute stress) and selected personality features (i.e., Negative Affectivity and Psychoticism) at Wave 1 represent risk factors for PTSD symptoms at later waves. These findings extend previous knowledge on COVID-19 related PTSD and support the need for preventive and treatment interventions for PTSD during the COVID-19 pandemic., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

Purpose: This study examined whether national trends in unstructured in-person socializing with peers (i.e., socializing without goals or supervision) among adolescents could help explain recent declines in adolescent risk behaviors (e.g., substance use, fighting, theft)., Methods: The sample contained of 44,842 U.S. 12th-grade students (aged 17-18 years) from the Monitoring the Future survey (years 1999-2017). Analyses examined (1) prevalence trends, (2) latent factor structure of risk behaviors and unstructured in-person socializing, and (3) whether trends in the unstructured in-person socializing factor accounted for the relationship between time (i.e., survey year) and the risk behavior factor., Results: Adolescent risk behaviors and unstructured in-person socializing declined by approximately 30% in the U.S., and both formed coherent latent factors. After adjusting for sociodemographics, declines in unstructured in-person socializing accounted for approximately 86% of declines in risk behaviors., Conclusions: The prevalence of risk behaviors and unstructured in-person socializing behaviors declined among U.S. 12th graders from 1999 to 2017. It is unknown whether such effects are directly causal and/or influenced by unmeasured variables. However, the results provide evidence that national declines in unstructured in-person socializing are a likely component of the explanation for national declines in adolescent risk behaviors., (Copyright © 2021 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.)

Objective: The present study estimates associations of the Big Five domains and their metatraits with individual indicators of eudaimonic, hedonic, and social well-being, as well as broader factors that capture the tendency for these individual indicators to correlate., Method: Using data from a large sample of adults from the United States, confirmatory factor analysis and exploratory structural equation modeling was used to verify the factor structure of Big Five personality and well-being in adulthood. The factor structure of the Big Five domains and well-being was carried forward to estimate associations between personality and well-being at each of three assessments and different levels of analysis using structural equation modeling., Results: Associations between the Big Five metatraits and well-being were strong and consistent across the three measurements when the average ages of participants were 46, 54, and 63 years. Similar results were observed whether focused on a fine-grained or broad level of analysis., Conclusions: For all types of well-being, the metatraits accounted for more variance than the Big Five domains, even when the Big Five were operationalized using latent factors, emphasizing the importance of considering this level of analysis when elucidating relations between personality and well-being., (© 2021 Wiley Periodicals LLC.)

Importance: Wealthy adults tend to live longer than those with less wealth. However, a challenge in this area of research has been the reduction of potential confounding by factors associated with the early environment and heritable traits, which could simultaneously affect socioeconomic circumstances in adulthood and health across the life course., Objective: To identify the association between net worth at midlife and subsequent all-cause mortality in individuals as well as within siblings and twin pairs., Design Setting and Participants: This cohort study conducted a series of analyses using data from the Midlife in the United States (MIDUS) study, an ongoing national study of health and aging. The sample included adults (unrelated individuals, full siblings, and dizygotic and monozygotic twins) aged 20 to 75 years, who participated in wave 1 of the MIDUS study, which occurred from 1994 to 1996. The analyses were conducted between November 16, 2019, and May 18, 2021., Exposures: Self-reported net worth (total financial assets minus liabilities) at midlife (the middle years of life)., Main Outcomes and Measures: All-cause mortality was tracked over nearly 24 years of follow-up, with a censor date of October 31, 2018. Survival models tested the association between net worth and all-cause mortality. Discordant sibling and twin analyses compared longevity within siblings and twin pairs who, given their shared early experiences and genetic backgrounds, were matched on these factors., Results: The full sample comprised 5414 participants, who had a mean (SD) age of 46.7 (12.7) years and included 2766 women (51.1%). Higher net worth was associated with lower mortality risk (hazard ratio [HR], 0.95; 95% CI, 0.94-0.97; P  < .001). Among siblings and twin pairs specifically (n = 2490), a similar within-family association was observed between higher net worth and lower mortality (HR, 0.94; 95% CI, 0.91-0.97; P  = .001), suggesting that the sibling or twin with more wealth tended to live longer than their co-sibling or co-twin with less wealth. When separate estimates were performed for the subsamples of siblings (HR, 0.94; 95% CI, 0.90-0.97; P  = .002), dizygotic twins (HR, 0.94; 95% CI, 0.86-1.02; P  = .19), and monozygotic twins (HR, 0.95; 95% CI, 0.87-1.04; P  = .34), the within-family estimates of the net worth-mortality association were similar, although the precision of estimates was reduced among twins., Conclusions and Relevance: This cohort study found that wealth accumulation at midlife was associated with longevity in US adults. Discordant sibling analyses suggested that this association is unlikely to be simply an artifact of early experiences or heritable characteristics shared by families., Competing Interests: Conflict of Interest Disclosures: Dr Krueger reported receiving grants from the National Institute on Aging (NIA) during the conduct of the study and outside the submitted work. Dr Miller reported receiving grants from the National Institutes of Health (NIH) outside the submitted work. No other disclosures were reported., (Copyright 2021 Finegood ED et al. JAMA Health Forum.)