Elemental psychopathology: distilling constituent symptoms and patterns of repetition in the diagnostic criteria of the DSM-5.

BACKGROUND: The DSM-5 features hundreds of diagnoses comprising a multitude of symptoms, and there is considerable repetition in the symptoms among diagnoses. This repetition undermines what we can learn from studying individual diagnostic constructs because it can obscure both disorder- and symptom-specific signals. However, these lost opportunities are currently veiled because symptom repetition in the DSM-5 has not been quantified. METHOD: This descriptive study mapped the repetition among the 1419 symptoms described in 202 diagnoses of adult psychopathology in section II of the DSM-5. Over a million possible symptom comparisons needed to be conducted, for which we used both qualitative content coding and natural language processing. RESULTS: In total, we identified 628 distinct symptoms: 397 symptoms (63.2%) were unique to a single diagnosis, whereas 231 symptoms (36.8%) repeated across multiple diagnoses a total of 1022 times (median 3 times per symptom; range 2-22). Some chapters had more repetition than others: For example, every symptom of every diagnosis in the bipolar and related disorders chapter was repeated in other chapters, but there was no repetition for any symptoms of any diagnoses in the elimination disorders, gender dysphoria or paraphilic disorders. The most frequently repeated symptoms included insomnia, difficulty concentrating, and irritability - listed in 22, 17 and 16 diagnoses, respectively. Notably, the top 15 most frequently repeating diagnostic criteria were dominated by symptoms of major depressive disorder. CONCLUSION: Overall, our findings lay the foundation for a better understanding of the extent and potential consequences of symptom overlap.

Structure of psychopathology in adolescents and its association with high-risk personality traits.

The present study examined high-risk personality traits and associations with psychopathology across multiple levels of a hierarchical-dimensional model of psychopathology in a large adolescent, general population sample. Confirmatory factor analyses were run using data from two randomized controlled trials of Australian adolescents (N = 8,654, mean age = 13.01 years, 52% female). A higher-order model - comprised of general psychopathology, fear, distress, alcohol use/harms, and conduct/inattention dimensions - was selected based on model fit, reliability, and replicability. Indirect-effects models were estimated to examine the unique associations between high-risk personality traits (anxiety sensitivity, negative thinking, impulsivity, and sensation seeking) and general and specific dimensions and symptoms of psychopathology. All personality traits were positively associated with general psychopathology. After accounting for general psychopathology, anxiety sensitivity was positively associated with fear; negative thinking was positively associated with distress; impulsivity was positively associated with conduct/inattention; and sensation seeking was positively associated with alcohol use/harms and conduct/inattention, and negatively associated with fear. Several significant associations between personality traits and individual symptoms remained after accounting for general and specific psychopathology. These findings contribute to our understanding of the underlying structure of psychopathology among adolescents and have implications for the development of personality-based prevention and early intervention programs.

Meta-analysis of structural evidence for the Hierarchical Taxonomy of Psychopathology (HiTOP) model.

BACKGROUND: The Hierarchical Taxonomy of Psychopathology (HiTOP) is a classification system that seeks to organize psychopathology using quantitative evidence - yet the current model was established by narrative review. This meta-analysis provides a quantitative synthesis of literature on transdiagnostic dimensions of psychopathology to evaluate the validity of the HiTOP framework. METHODS: Published studies estimating factor-analytic models from diagnostic and statistical manual of mental disorders (DSM) diagnoses were screened. A total of 120,596 participants from 35 studies assessing 23 DSM diagnoses were included in the meta-analytic models. Data were pooled into a meta-analytic correlation matrix using a random effects model. Exploratory factor analyses were conducted using the pooled correlation matrix. A hierarchical structure was estimated by extracting one to five factors representing levels of the HiTOP framework, then calculating congruence coefficients between factors at sequential levels. RESULTS: Five transdiagnostic dimensions fit the DSM diagnoses well (comparative fit index = 0.92, root mean square error of approximation = 0.07, and standardized root-mean-square residual = 0.03). Most diagnoses had factor loadings >|0.30| on the expected factors, and congruence coefficients between factors indicated a hierarchical structure consistent with the HiTOP framework. CONCLUSIONS: A model closely resembling the HiTOP framework fit the data well and placement of DSM diagnoses within transdiagnostic dimensions were largely confirmed, supporting it as valid structure for conceptualizing and organizing psychopathology. Results also suggest transdiagnostic research should (1) use traits, narrow symptoms, and dimensional measures of psychopathology instead of DSM diagnoses, (2) assess a broader array of constructs, and (3) increase focus on understudied pathologies.

Assessing Functional Impairment in Youth: Development of the Adolescent Life Interference Scale for Internalizing Symptoms (ALIS-I).

This study described the psychometric properties of a self-report measure of functional impairment related to anxiety and depression in adolescents, the Adolescent Life Interference Scale for Internalizing symptoms (ALIS-I). A clinical sample of 266 adolescents and a community sample of 63 adolescents, aged 11 to 18 years (Mean = 14.7, SD = 1.71) completed the ALIS-I and additional measures assessing internalizing problems. Exploratory factor analyses indicated four distinct but correlated factors of life interference related to personal withdrawal/avoidance, peer problems, problems with study/work, and somatic symptoms. Reliability and retest reliability (8-12 weeks) of the total score were high and psychometric properties of the subscales were acceptable. The ALIS-I effectively discriminated between clinical and community control groups, and expected correlations were shown between ALIS-I subscales and other related symptom measures. The ALIS-I is a promising instrument for the assessment of functional impairment related to internalizing disorders in youth.

The Hierarchical Taxonomy of Psychopathology (HiTOP) in psychiatric practice and research.

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 relationship between brain structure and general psychopathology in preadolescents.

BACKGROUND: An emerging body of literature has indicated that broad, transdiagnostic dimensions of psychopathology are associated with alterations in brain structure across the life span. The current study aimed to investigate the relationship between brain structure and broad dimensions of psychopathology in the critical preadolescent period when psychopathology is emerging. METHODS: This study included baseline data from the Adolescent Brain and Cognitive Development (ABCD) Study® (n = 11,875; age range = 9-10 years; male = 52.2%). General psychopathology, externalizing, internalizing, and thought disorder dimensions were based on a higher-order model of psychopathology and estimated using Bayesian plausible values. Outcome variables included global and regional cortical volume, thickness, and surface area. RESULTS: Higher levels of psychopathology across all dimensions were associated with lower volume and surface area globally, as well as widespread and pervasive alterations across the majority of cortical and subcortical regions studied, after adjusting for sex, race/ethnicity, parental education, income, and maternal psychopathology. The relationships between general psychopathology and brain structure were attenuated when adjusting for cognitive functioning. There were no statistically significant relationships between psychopathology and cortical thickness in this sample of preadolescents. CONCLUSIONS: The current study identified lower cortical volume and surface area as transdiagnostic biomarkers for general psychopathology in preadolescence. Future research may focus on whether the widespread and pervasive relationships between general psychopathology and brain structure reflect cognitive dysfunction that is a feature across a range of mental illnesses.

The role of parenting behaviors in the bidirectional and intergenerational transmission of depression and anxiety between parents and early adolescent youth.

BACKGROUND: Parenting is a modifiable factor proposed to underpin the transmission of anxiety and depression from parents to children. This study examined the role of parenting in the intergenerational transmission of anxiety and depression across pre- and early adolescence. METHOD: Participants were 531 youth (Mage = 11.18, SD = 0.56; 50.85% boys) and their parent. Child and parent anxiety and depression, and parental rejection, warmth and overprotection were assessed annually over 3 years. Bidirectional relationships between parent and child anxiety and depression, and the mediating role of parenting behaviors, were examined using cross-lagged panel models. RESULTS: Results suggest bidirectional associations over time between parent and child depression, and parental rejection and child depression. Parental rejection and low warmth were associated with increases in child depression, but did not mediate depression transmission. Parental anxiety was associated with increases in child anxiety and depression, but there was no bidirectional association from child psychopathology to parental anxiety. There was little evidence that parenting predicted changes in child anxiety over time. Child anxiety and depression were associated with subsequent increases in parental depression. CONCLUSION: Parental depression, rejection and low warmth are independent risk factors for child depression. Parental rejection may also be a consequence of parenting a depressed youth. Parenting did not account for the apparent transmission of parental anxiety to increased child anxiety and depression. Child psychopathology increases risk of parental depression. Parental rejection may be an important modifiable risk factor for youth depression in early adolescence, and may also reduce later risk of parent depression.

Emotion dysregulation across the span of eating disorder symptoms: Findings from a community sample of adolescents.

OBJECTIVE: Emotion dysregulation is proposed as a key factor within eating disorder pathology. However, less is known about specific emotion regulation difficulties experienced by adolescents with varying levels of eating disorders symptoms. The present study examined the relationship between eating disorder behaviors and specific facets of emotion dysregulation, and differences in emotion dysregulation between eating disorder diagnostic groups. METHOD: Participants were 2,783 adolescents, 11-19 years (M = 14 years, 9 months, SD = 1 year, 6 months), who completed self-report measures as part of the EveryBODY study. Adolescents were identified as not having eating disorder symptoms (n = 2,122) or meeting diagnostic criteria for symptoms of specific eating disorder, including: anorexia nervosa or atypical anorexia nervosa (n = 57), bulimia nervosa (n = 136), binge-eating disorder (n = 57), other specified feeding or eating disorder characterized by binge eating or purging (n = 381), and unspecified feeding or eating disorder (n = 30). RESULTS: Binge eating, driven exercise, and fasting were each uniquely associated with emotion dysregulation, whereas purging was not. Similar findings were obtained within specific domains of emotion dysregulation. Findings from diagnostic groups showed a significant main effect of diagnosis on overall emotion dysregulation and most domains of emotion dysregulation. Adolescents with eating disorder symptoms consistently reported higher emotion dysregulation compared to those without these symptoms. DISCUSSION: Findings indicate that emotion dysregulation is a key factor across eating disorder pathology, and potential treatment target across the spectrum of eating disorder diagnoses in adolescents.

The Hierarchical Taxonomy of Psychopathology (HiTOP): A Quantitative Nosology Based on Consensus of Evidence.

Traditional diagnostic systems went beyond empirical evidence on the structure of mental health. Consequently, these diagnoses do not depict psychopathology accurately, and their validity in research and utility in clinicalpractice are therefore limited. The Hierarchical Taxonomy of Psychopathology (HiTOP) consortium proposed a model based on structural evidence. It addresses problems of diagnostic heterogeneity, comorbidity, and unreliability. We review the HiTOP model, supporting evidence, and conceptualization of psychopathology in this hierarchical dimensional framework. The system is not yet comprehensive, and we describe the processes for improving and expanding it. We summarize data on the ability of HiTOP to predict and explain etiology (genetic, environmental, and neurobiological), risk factors, outcomes, and treatment response. We describe progress in the development of HiTOP-based measures and in clinical implementation of the system. Finally, we review outstanding challenges and the research agenda. HiTOP is of practical utility already, and its ongoing development will produce a transformative map of psychopathology.

The structure of psychopathology and association with poor sleep, self-harm, suicidality, risky sexual behavior, and low self-esteem in a population sample of adolescents.

There is a growing body of evidence highlighting the presence of a single general dimension of psychopathology that can account for multiple associations across mental and substance use disorders. However, relatively little evidence has emerged regarding the validity of this model with respect to a range of factors that have been previously implicated across multiple disorders. The current study utilized a cross-sectional population survey of adolescents (n = 2,003) to examine the extent to which broad psychopathology factors account for specific associations between psychopathology and key validators: poor sleep, self-harm, suicidality, risky sexual behavior, and low self-esteem. Confirmatory factor models, latent class models, and factor mixture models were estimated to identify the best structure of psychopathology. Structural equation models were then estimated to examine the broad and specific associations between each psychopathology indicator and the validators. A confirmatory factor model with three lower-order factors, representing internalizing, externalizing, and psychotic-like experiences, and a single higher-order factor evidenced the best fit. The associations between manifest indicators of psychopathology and validators were largely nonspecific. However, significant and large direct effects were found between several pairwise associations. These findings have implications for the identification of potential targets for intervention and/or tailoring of prevention programs.

Quantifying the Reliability and Replicability of Psychopathology Network Characteristics.

Pairwise Markov random field networks-including Gaussian graphical models (GGMs) and Ising models-have become the "state-of-the-art" method for psychopathology network analyses. Recent research has focused on the reliability and replicability of these networks. In the present study, we compared the existing suite of methods for maximizing and quantifying the stability and consistency of PMRF networks (i.e., lasso regularization, plus the bootnet and NetworkComparisonTest packages in R) with a set of metrics for directly comparing the detailed network characteristics interpreted in the literature (e.g., the presence, absence, sign, and strength of each individual edge). We compared GGMs of depression and anxiety symptoms in two waves of data from an observational study (n = 403) and reanalyzed four posttraumatic stress disorder GGMs from a recent study of network replicability. Taken on face value, the existing suite of methods indicated that overall the network edges were stable, interpretable, and consistent between networks, but the direct metrics of replication indicated that this was not the case (e.g., 39-49% of the edges in each network were unreplicated across the pairwise comparisons). We discuss reasons for these apparently contradictory results (e.g., relying on global summary statistics versus examining the detailed characteristics interpreted in the literature) and conclude that the limited reliability of the detailed characteristics of networks observed here is likely to be common in practice, but overlooked by current methods. Poor replicability underpins our concern surrounding the use of these methods, given that generalizable conclusions are fundamental to the utility of their results.

On Unreplicable Inferences in Psychopathology Symptom Networks and the Importance of Unreliable Parameter Estimates.

We recently wrote an article comparing the conclusions that followed from two different approaches to quantifying the reliability and replicability of psychopathology symptom networks. Two commentaries on the article have raised five core criticisms, which are addressed in this response with supporting evidence. 1) We did not over-generalize about the replicability of symptom networks, but rather focused on interpreting the contradictory conclusions of the two sets of methods we examined. 2) We closely followed established recommendations when estimating and interpreting the networks. 3) We also closely followed the relevant tutorials, and used examples interpreted by experts in the field, to interpret the bootnet and NetworkComparisonTest results. 4) It is possible for statistical control to increase reliability, but that does not appear to be the case here. 5) Distinguishing between statistically significant versus substantive differences makes it clear that the differences between the networks affect the inferences we would make about symptom-level relationships (i.e., the basis of the purported utility of symptom networks). Ultimately, there is an important point of agreement between our article and the commentaries: All of these applied examples of cross-sectional symptom networks are demonstrating unreliable parameter estimates. While the commentaries propose that the resulting differences between networks are not genuine or meaningful because they are not statistically significant, we propose that the unreplicable inferences about the symptom-level relationships of interest fundamentally undermine the utility of the symptom networks.

Longitudinal Associations between Coping Strategies and Psychopathology in Pre-adolescence.

Much of the literature investigating the association between coping and psychopathology is cross-sectional, or associations have been investigated in a unidirectional manner; hence, bidirectionality between coping and psychopathology remains largely untested. To address this gap, this study investigated bidirectional relations between coping and psychopathology during pre-adolescence. Participants (N = 532, 51% male) and their primary caregiver both completed questionnaires assessing pre-adolescents' coping (i.e., avoidant, problem solving, social support seeking) and symptoms of psychopathology (i.e., generalized anxiety, social anxiety, depression, eating pathology) in Wave 1 (Mage = 11.18 years, SD = 0.56, range = 10-12) and Wave 2 (Mage = 12.18 years, SD = 0.53, range = 11-13, 52% male), one year later. Cross-lagged panel models showed child-reported avoidant coping predicted increases in symptoms of generalized and social anxiety, and eating pathology. In separate child and parent models, symptoms of depression predicted increases in avoidant coping. Greater parent-reported child depressive symptoms also predicted decreases in problem solving coping. Taken together, results suggest unique longitudinal associations between coping and psychopathology in pre-adolescence, with avoidant coping preceding increases in symptoms of anxiety and eating pathology, and depressive symptoms predicting later increases in maladaptive coping.

Les progrès dans la réalisation de la classification quantitative de la psychopathologie.

Shortcomings of approaches to classifying psychopathology based on expert consensus have given rise to contemporary efforts to classify psychopathology quantitatively. In this paper, we review progress in achieving a quantitative and empirical classification of psychopathology. A substantial empirical literature indicates that psychopathology is generally more dimensional than categorical. When the discreteness versus continuity of psychopathology is treated as a research question, as opposed to being decided as a matter of tradition, the evidence clearly supports the hypothesis of continuity. In addition, a related body of literature shows how psychopathology dimensions can be arranged in a hierarchy, ranging from very broad "spectrum level" dimensions, to specific and narrow clusters of symptoms. In this way, a quantitative approach solves the "problem of comorbidity" by explicitly modeling patterns of co-occurrence among signs and symptoms within a detailed and variegated hierarchy of dimensional concepts with direct clinical utility. Indeed, extensive evidence pertaining to the dimensional and hierarchical structure of psychopathology has led to the formation of the Hierarchical Taxonomy of Psychopathology (HiTOP) Consortium. This is a group of 70 investigators working together to study empirical classification of psychopathology. In this paper, we describe the aims and current foci of the HiTOP Consortium. These aims pertain to continued research on the empirical organization of psychopathology; the connection between personality and psychopathology; the utility of empirically based psychopathology constructs in both research and the clinic; and the development of novel and comprehensive models and corresponding assessment instruments for psychopathology constructs derived from an empirical approach.

Evidence that Different Types of Peer Victimization have Equivalent Associations with Transdiagnostic Psychopathology in Adolescence.

Experiences of peer victimization are common in adolescence and have been associated with a broad variety of psychopathology in adolescence. The present study aimed to test whether some types of victimization are more harmful than others; whether the harms associated with different types of peer victimization are specific to particular domains of psychopathology; and whether these relationships vary by gender. Participants included adolescents aged 14-15 from a nationally representative cohort study (n= 3335; mean age 14.4 years; 49.1% female; 90.1% spoke English as the main language at home). Participants provided self-report information on their experiences of peer victimization, as well as symptoms of depression, anxiety, conduct problems, hyperactivity and inattention, and substance use. These data were analyzed in a dimensional and hierarchical framework using latent variable indirect effects modeling. The associations between peer victimization and psychopathology were not unique to specific symptom domains, but rather showed broadband associations with all symptom domains via a transdiagnostic association with general psychopathology. For example, an average of only 9% of the total relationship with each symptom domain was unique to the symptom-domain level, with the remaining proportion accounted for by higher-order factors (i.e., internalizing, externalizing, and general psychopathology). Further, the strength of the relationships did not vary as a function of the type of peer victimization experience (i.e., physical, verbal, or relational), and showed evidence of strict measurement invariance by gender. These findings suggest that peer victimization might present a useful target for the prevention of general psychopathology.

Depression, Anxiety, and Peer Victimization: Bidirectional Relationships and Associated Outcomes Transitioning from Childhood to Adolescence.

Experiences of depression, anxiety, and peer victimization have each been found to predict one another, and to predict negative outcomes in the domains of school connectedness, social functioning, quality of life, and physical health. However, the common co-occurrence of depression, anxiety, and peer victimization experiences has made it difficult to disentangle their unique roles in these associations. The present study thus sought to characterize the precise nature of the bidirectional relationships between depressive symptoms, anxiety, and victimization over time, and to examine their unique sequelae during the transition from childhood to early adolescence. Longitudinal multi-informant (child-reported, parent-reported, and teacher-reported) data from a nationally representative sample were analyzed using path analysis when the study child was aged 10-11 (n= 4169; Mage = 10.3; 48.8% female) and aged 12-13 (n= 3956; Mage = 12.4; 48.2% female). Depressive symptoms, anxiety, and peer victimization had small but significant unique bidirectional relationships. All three constructs also uniquely and prospectively predicted poorer life functioning across all domains examined. These results demonstrate that current interventions should broaden their scope to simultaneously target depression, anxiety, and peer victimization, as each of these experiences independently act as additive risk factors for subsequent negative outcomes.

Delineating the joint hierarchical structure of clinical and personality disorders in an outpatient psychiatric sample.

BACKGROUND: A large body of research has focused on identifying the optimal number of dimensions - or spectra - to model individual differences in psychopathology. Recently, it has become increasingly clear that ostensibly competing models with varying numbers of spectra can be synthesized in empirically derived hierarchical structures. METHODS AND MATERIALS: We examined the convergence between top-down (bass-ackwards or sequential principal components analysis) and bottom-up (hierarchical agglomerative cluster analysis) statistical methods for elucidating hierarchies to explicate the joint hierarchical structure of clinical and personality disorders. Analyses examined 24 clinical and personality disorders based on semi-structured clinical interviews in an outpatient psychiatric sample (n=2900). RESULTS: The two methods of hierarchical analysis converged on a three-tier joint hierarchy of psychopathology. At the lowest tier, there were seven spectra - disinhibition, antagonism, core thought disorder, detachment, core internalizing, somatoform, and compulsivity - that emerged in both methods. These spectra were nested under the same three higher-order superspectra in both methods: externalizing, broad thought dysfunction, and broad internalizing. In turn, these three superspectra were nested under a single general psychopathology spectrum, which represented the top tier of the hierarchical structure. CONCLUSIONS: The hierarchical structure mirrors and extends upon past research, with the inclusion of a novel compulsivity spectrum, and the finding that psychopathology is organized in three superordinate domains. This hierarchy can thus be used as a flexible and integrative framework to facilitate psychopathology research with varying levels of specificity (i.e., focusing on the optimal level of detailed information, rather than the optimal number of factors).

Should Sexual Problems Be Included in the Internalizing Spectrum? A Comparison of Dimensional and Categorical Models.

Preliminary research has suggested that sexual problems should be included in the internalizing spectrum alongside depressive and anxiety disorders. This study aimed to empirically examine and compare an extended internalizing spectrum model with a categorical framework model implied by the current nosological structure. Responses to an online survey from a community sample (n = 518) were analyzed to compare the fit of six alternative models of the relationship between sexual problems and depressive and anxiety disorders, separately for men and women. The best model for women (n = 336) was a dimensional spectrum model that included sexual arousal, orgasm, and pain difficulties in the internalizing spectrum. The results for men (n = 182) were less clear-cut: there were apparent categorical relationships for a small group (n = 8), and the spectrum model showed a good fit for 96% of the sample. These findings are consistent with a nosology that maintains discrete disorders and diagnostic chapters while recognizing the relationships between them, as in the new structure of the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders. As such, this study offers further evidence that there are dimensional relationships between sexual problems and depressive and anxiety disorders, which should be explicitly recognized in diagnostic systems.

The relationship between atmospheric lead emissions and aggressive crime: an ecological study.

BACKGROUND: Many populations have been exposed to environmental lead from paint, petrol, and mining and smelting operations. Lead is toxic to humans and there is emerging evidence linking childhood exposure with later life antisocial behaviors, including delinquency and crime. This study tested the hypothesis that childhood lead exposure in select Australian populations is related to subsequent aggressive criminal behaviors. METHODS: We conducted regression analyses at suburb, state and national levels using multiple analytic methods and data sources. At the suburb-level, we examined assault rates as a function of air lead concentrations 15-24 years earlier, reflecting the ubiquitous age-related peak in criminal activity. Mixed model analyses were conducted with and without socio-demographic covariates. The incidence of fraud was compared for discriminant validity. State and national analyses were conducted for convergent validity, utilizing deaths by assault as a function of petrol lead emissions. RESULTS: Suburb-level mixed model analyses showed air lead concentrations accounted for 29.8 % of the variance in assault rates 21 years later, after adjusting for socio-demographic covariates. State level analyses produced comparable results. Lead petrol emissions in the two most populous states accounted for 34.6 and 32.6 % of the variance in death by assault rates 18 years later. CONCLUSIONS: The strong positive relationship between childhood lead exposure and subsequent rates of aggressive crime has important implications for public health globally. Measures need to be taken to ameliorate exposure to lead and other environmental contaminants with known neurodevelopmental consequences.

Where Do Sexual Dysfunctions Fit into the Meta-Structure of Psychopathology? A Factor Mixture Analysis.

Sexual dysfunctions have not been included in research on the broad structure of psychopathology to date, despite their high prevalence and impact on quality of life. Preliminary research has shown that they may fit well in an internalizing spectrum, alongside depressive and anxiety disorders. This study compared dimensional and categorical models of the relationships between depression, anxiety, and sexual problems with "hybrid" models (i.e., factor mixture analyses), which combine dimensional and categorical components simultaneously. Participants (n = 1000) were selectively recruited to include a range of symptom levels, and completed a series of self-report measures online. A hybrid model that combined dimensional and categorical components fit best for men and women. Taken together, the results are consistent with a nosology that explicitly recognizes the relationships between the diagnostic chapters of depressive and anxiety disorders and sexual dysfunctions, but still maintains discrete diagnoses, which is compatible with the structure of the DSM-5 and upcoming ICD-11.