Predictors Of Psychopathology Research Articles

Childhood adversity and adolescent mental health: Examining cumulative and specificity effects across contexts and developmental timing.

Associations between adversity and youth psychopathology likely vary based on the types and timing of experiences. Major theories suggest that the impact of childhood adversity may either be cumulative in type (the more types of adversity, the worse outcomes) or in timing (the longer exposure, the worse outcomes) or, alternatively, specific concerning the type (e.g., parenting, home, neighborhood) or the timing of adversity (e.g., specific developmental periods). In a longitudinal sample from the Future of Families and Wellbeing Study (N = 4,210), we evaluated these competing hypotheses using a data-driven structured life-course modeling approach using risk factors examined at child age 1 (infancy), 3 (toddlerhood), 5 (early childhood), and 9 (middle childhood). Results showed that exposures to more types of adversity for longer durations (i.e., cumulative in both type and timing) best predicted youth psychopathology. Adversities that occurred at age 9 were better predictors of youth psychopathology as compared to those experienced earlier, except for neglect, which was predictive of internalizing symptoms when experienced at age 3. Throughout childhood (across ages 1-9), aside from the accumulation of all adversities, parental stressand low collective efficacy were the strongest predictors of internalizing symptoms, whereas psychological aggression was predictive of externalizing symptoms.

Mapping the neurodevelopmental predictors of psychopathology.

Neuroimaging research has uncovered a multitude of neural abnormalities associated with psychopathology, but few prediction-based studies have been conducted during adolescence, and even fewer used neurobiological features that were extracted across multiple neuroimaging modalities. This gap in the literature is critical, as deriving accurate brain-based models of psychopathology is anessential steptowards understanding key neural mechanisms and identifying high-risk individuals. As such, we trained adaptive tree-boosting algorithms on multimodal neuroimaging features from the Lifespan Human Connectome Developmental (HCP-D) sample that contained 956 participants between the ages of 8 to 22 years old. Our feature space consisted of 1037 anatomical, 1090 functional, and 192 diffusion MRI features, which were used to derive models that separately predicted internalizing symptoms, externalizing symptoms, and the general psychopathology factor. We found that multimodal models were the most accurate, but all brain-based models of psychopathology yielded out-of-sample predictions that were weakly correlated with actual symptoms (r2 < 0.15). White matter microstructural properties, including orientation dispersion indices and intracellular volume fractions, were the most predictive of general psychopathology, followed by cortical thickness and functional connectivity. Spatially, the most predictive features of general psychopathology were primarily localized within the default mode and dorsal attention networks. These results were mostly consistent across all dimensions of psychopathology, except orientation dispersion indices and the default mode network were not as heavily weighted in the prediction of internalizing and externalizing symptoms. Taken with prior literature, it appears that neurobiological features are an important part of the equation for predicting psychopathology but relying exclusively on neural markers is clearly not sufficient, especially among adolescent samples with subclinical symptoms. Consequently, risk factor models of psychopathology may benefit from incorporating additional sources of information that have also been shown to explain individual differences, such as psychosocial factors, environmental stressors, and genetic vulnerabilities.

Interplay between interparental relationship quality and infant temperament predicts toddler transdiagnostic psychopathology.

Although exposure to interparental conflict (IPC) in late childhood and adolescence appears to be a robust risk factor for the development of child psychopathology, less work has examined how very early exposure to IPC poses risk for the development of psychopathology in the first 2 years of life. Further, it is unclear whether IPC is uniquely related to child psychopathology relative to other critical dimensions of the interparental relationship. This study aimed to investigate the unique effects of IPC and low levels of emotional intimacy in the interparental relationship during pregnancy and infancy on toddler psychopathology and whether children with higher negative emotionality during infancy were most vulnerable to these conditions. One hundred fifty-one cohabitating couples completed semistructured interviews and questionnaires once during pregnancy and three times postpartum. Results demonstrated that consistent and sustained interparental emotional intimacy, first observed during pregnancy and persisting throughout infancy, was a unique predictor of toddler psychopathology, controlling for sustained and persistent exposure to IPC. The negative association between emotional intimacy and toddler general psychopathology was stronger at higher levels of infant negative emotionality. Results highlight the importance of early exposure to a warm, affectionate interparental relationship for healthy child socioemotional development. These findings have potential for informing early prevention and intervention efforts, including prenatal programs, aimed at reducing psychopathology across the lifespan. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The Psychopathological Predictors and Effects of Death Anxiety.

Death anxiety has been linked to several psychopathological conditions. However, the causes, comorbidity, and differential diagnosis of death anxiety is unexplored. This paper stands out by identifying common predictors of death anxiety and exploring the potential of death anxiety as a predictor for other psychological conditions. The paper reports the findings of four consecutive studies that involved a total of 2291 conveniently selected participants including 861 men and 1430 women. We focused on clarifying both the predictors of death anxiety and the psychopathological consequences emerging from it. Our findings established depression, anxiety, stress, fear of aging, and reduced life satisfaction as predictors of death anxiety. Psychosocial illness, sleep disturbances, aggression, and daily hassles were established as the adverse outcomes of death anxiety. Fear of aging was the most significant predictor of death anxiety and daily hassles emerged as the most significant adverse consequence of death anxiety.

Environmental and psychopathological predictors of clinical high-risk of psychosis in adolescence.

Clinical high-risk of psychosis (CHRp) samples can be heterogeneous, consisting essentially of people with not only psychotic-like experiences but also nonspecific symptoms that may reflect common mental disorders such as depression, anxiety, or substance abuse pathologies. Few studies have attempted to analyze and understand psychosis risk in relation to both environmental (ER) and psychopathological risk (PsR) factors. This study aimed to determine the clinical risk of psychosis in adolescents. A representative sample of 1824 Spanish adolescents from the general population was evaluated using different scales to thoroughly examine the possible interaction of CHRp with various ER and PsR factors. Partial correlations were calculated to assess the relationships between the variables. A series of hierarchical linear regression models were then used to obtain a CHRp predictor model. The CHRp predictor model indicated that PsR was the most significant determining factor, explaining 22% of the total associated variance of CHRp. However, the ER factor also emerged as a significant predictor of high-risk psychosis (accounting for 9% of the variance). A predictive model for CHRp in adolescents was found, in which common psychological problems were presented as more determinant risk factors than ER disruptors. Furthermore, certain transdiagnostic processes, such as psychological inflexibility, may play a central role in the development of mental health problems, including psychosis. Specifying the mechanisms underlying the emergence of CHRp in adolescence is the key to optimizing the focus of preventive therapeutic interventions in these early stages.

Understanding difficult temperament in adults: A mixed-methods study

Difficult temperament is a set of behavioral characteristics that are associated with mental health and a significant predictor of psychopathology. This study aims to investigate which temperamental characteristics can be considered attributes of difficult temperament in Lithuanian adults. The sample consisted of 429 adults between 18 and 79 years of age. The Adult Temperament Questionnaire was used to assess temperamental characteristics and perceived difficult temperament. Data were analyzed using a mixed-methods approach. The results revealed that the set of attributes perceived as constituting difficult temperament includes characteristics such as negative mood, intensity of emotional reactions, low adaptability, withdrawal, and low regularity. Quantitative data analysis uncovered an unexpected negative relationship between perceived difficult temperament and the rhythmicity characteristic, while a new category of stubbornness emerged in the qualitative data. The findings provide new knowledge about both the cultural specifics of difficult temperament and the content of the temperament construct in general. These results can also aid in the development of further research on difficult temperament, as well as in the planning of mental health interventions and psychological counseling.

Gifted Children and Psychiatric Disorders: Is the Risk Increased Compared With Their Peers?

This study examined the prevalence and correlates of psychopathology in gifted children (GC) and explored whether giftedness confers protection or risk for mental health problems. We used a comparative design to analyze a population-based sample of 100 GC and 100 controls matched by age and sex in Turkey. We assessed psychiatric diagnoses with the Development and Well-Being Assessment (DAWBA), a valid diagnostic tool for child and adolescent mental health, and measured resilience and temperament with standardized scales. GC and controls did not differ significantly in the frequency of psychiatric disorders. However, GC showed lower resilience and higher negative reactivity and activity than controls. Negative reactivity was a significant predictor of psychopathology in GC. Sex did not moderate the effects of giftedness on mental health outcomes, resilience, or temperament. Our findings suggest that GC may have increased vulnerability to stress and reduced coping skills. We highlight the need to identify and support GCs who experience mental health problems and face psychological challenges. Our results emphasize the importance of early intervention and prevention to enhance resilience and well-being in this population. Future research should investigate the underlying mechanisms and develop tailored strategies to support the mental health and well-being of GC.

A socioemotional network perspective on momentary experiences of family conflict in young adults.

Family conflict is an established predictor of psychopathology in youth. Traditional approaches focus on between-family differences in conflict. Daily fluctuations in conflict within families might also impact psychopathology, but more research is needed to understand how and why. Using 21 days of daily diary data and 6-times a day experience-sampling data (N = 77 participants; mean age = 21.18, SD = 1.75; 63 women, 14 men), we captured day-to-day and within-day fluctuations in family conflict, anger, anxiety, and sadness. Using multilevel models, we find that days of higher-than-usual anger are also days of higher-than-usual family conflict. Examining associations between family conflict and emotions within days, we find that moments of higher-than-usual anger predict higher-than-usual family conflict later in the day. We observe substantial between-family differences in these patterns with implications for psychopathology; youth showing the substantial interplay between family conflict and emotions across time had a more perseverative family conflict and greater trait anxiety. Overall, findings indicate the importance of increases in youth anger for experiences of family conflict during young adulthood and demonstrate how intensive repeated measures coupled with network analytic approaches can capture long-theorized notions of reciprocal processes in daily family life.

What's next for the field of multigenerational mental health? The need for deep behavioral phenotyping via a prenatal mental health registry.

From its inception, development and psychopathology theorists have sought to uncover the earliest forms of risk for mental health challenges in children, to prevent the development of more severe, intractable manifestations of psychopathology. Large familial risk registries have advanced our understanding of early, potentially modifiable factors that could prevent or mitigate the expression of challenging symptoms of neurodevelopmental conditions, and similar registries have been proposed to advance understanding of ADHD and related phenotypes. Data from single-site studies, largely focused on perinatal exposure to maternal mood disorders, reveal that a robust predictor of child psychopathology is parental psychopathology. However, early developmental trajectories of psychopathology risk may be better captured using transdiagnostic approaches in pregnancy, capturing the full range of mental health symptoms. We describe here the need for a parental mental health registry that begins prenatally that includes deep behavioral phenotyping across a range of transdiagnostic indicators of mental health risk to prevent psychopathology in children. This registry has the potential to uncover pathways to psychopathology risk in childhood and support the discovery of novel mechanisms to be targeted for prevention and intervention.

Addressing the Complex Links between Psychopathy and Childhood Maltreatment, Emotion Regulation, and Aggression-A Network Analysis in Adults.

Childhood maltreatment is the strongest predictor of psychopathology and personality disorders across the lifespan and is strongly associated with a variety of psychological problems, namely, mood and anxiety disorders, behavioral and personality disorders, substance abuse, aggression, and self-harm. In this study, we aim to provide a comprehensive picture of the interplay between different traits of psychopathy and distinct dimensions of childhood maltreatment, emotion regulation, and aggression. Using a cross-sectional design, we employed correlational network analysis to explore the nomological network of psychopathy and provide a sample-based estimate of the population parameters reflecting the direction, strength, and patterns of relationships between variables. The sample consisted of 846 adults (71% females) who completed questionnaires measuring psychopathy, childhood maltreatment, emotion regulation, and aggression. The results highlight that disinhibition traits of psychopathy are the closest attributes of early experiences of abuse (but not neglect) in childhood and correlate with all dimensions of emotion regulation difficulties, being specifically associated with reactive aggression. Neglect was a unique attribute in the nomological network of meanness, with widespread correlations with emotion regulation difficulties but also an increased ability to engage in goal-directed behavior. Physical abuse was the only dimension of childhood adversity that was found to be intercorrelated with boldness and increased emotional regulation was found in this psychopathic trait. No significant associations were found between boldness, meanness, and aggression once shared variance with disinhibition was controlled. These results are discussed in terms of their implication for research and clinical practice.

Parental separation and death during childhood as predictors of adult psychopathology: An examination of racial differences.

Parental separation and parental death during childhood are common but understudied forms of adverse childhood events (ACEs), thus little is known about the impact on psychological functioning in adulthood. We examined whether parental death and parental separation during childhood was associated with risk of diagnostic criteria for depressive disorders, anxiety disorders, posttraumatic stress disorder (PTSD), or personality disorders during adulthood. Second, we compared parental separation and parental death and psychopathology across African Americans (N = 499) and Whites (N = 782). The sample consists of 1,211 participants (n = 669 females). Diagnostic interviews were administered by master's or doctorate-level degree holders in Clinical Psychology or Social Work. There was good to excellent interrater reliabilities (mean kappa of .84 ± .05; range: .79-.93) spanning anxiety, mood, anxiety, trauma, and personality disorders. White participants reporting parental separation during childhood were more likely to report depressive disorders (OR = 2.151, p < .001), PTSD (OR = 2.218, p < .01) and personality disorders (OR = 1.764, p < .001) during adulthood. African American endorsement of parental separation during childhood did not predict depressive disorders (OR = 1.21, p = .357), anxiety disorders (OR = 1.107, p = .659), PTSD (OR = 1.351, p = .425) or personality disorders (OR = 1.432, p = .098) during adulthood. Overall, participants who reported parental death did not have significantly higher rates of depressive disorders (OR = 1.100, p = .668), anxiety disorders (OR = 1.357, p = .207), PTSD (OR = 1.351, p = .425), and personality disorders (OR = 1.432, p = .098). Parental separation was a significant risk factor for adult psychopathology, but only for White participants. Parental death was not a risk factor for adult psychopathology no matter the person's race. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Predicting Psychopathology in Jewish Ultra-Orthodox IPV Survivors: A Machine Learning Approach

The nature of the abuse, cultural and religious values, trauma-related cognitions, and recovery actions are considered factors that shape intimate partner violence (IPV) survivors’ recovery and pathology. However, less is known about their specific impact on women’s psychopathology and wellbeing. Concomitantly, there is scant information about IPV survivors from collectivistic societies such as the Israeli Jewish Ultra-orthodox (JUO) community. The present study was designed to identify predictors of post-traumatic stress (PTSD) symptoms and wellbeing in women from the JUO community who have experienced IPV. Women (N = 261) provided information about their demographics, the nature of the violence, attitudes with respect to cultural and religious norms that normalize violence, trauma-related cognitions, the coping constructs of disengagement, faith, and engaging in help-seeking and recovery actions, and the PTSD symptoms that affect their wellbeing. A Random Forest machine learning (ML) algorithm was used to identify the strongest predictors of psychopathology and wellbeing. Regression trees were developed to identify individuals at greater risk of PTSD symptoms but also of greater wellbeing. Higher self-stigma and the perception of an unsafe world were associated with PTSD symptoms, whereas lower self-stigma, greater faith, and engagement in steps toward recovery were associated with greater wellbeing. These findings highlight the importance of treating women’s self-stigma and perceptions of an unsafe world while also encouraging faith and active engagement in recovery to promote survivors’ wellbeing and lessen their PTSD symptoms.

Link between post-stroke psychopathology and scope-of-action awareness

Background: Epidemiological research has failed to confirm laterality of lesion site as a neurobiological source of post-stroke psychopathology. However, acquired communication disorders have proved to be a key risk factor for depression, apart from established parameters such as pre-stroke psychopathology and physical immobility. Objectives: The present work examines a new predictor of post-stroke psychopathology: psychological flexibility. This concept describes an accepting attitude toward irreversible loss following stroke while using remaining agency. Design: Overall, 70 individuals engaged in a cross-sectional study conducted in the subacute stage after an ischemic or hemorrhagic event, a period with elevated prevalence of mental-health problems (2 weeks to 6 months after stroke). Methods: Outcomes included standardized self-report and clinician-rated measures of depression, anxiety disorders, and general psychopathology (Beck Depression Inventory; Hospital Anxiety and Depression Scale; ICD-10 Symptom Rating; Hamilton Depression Rating Scale) alongside lack of psychological flexibility (Acceptance and Action Questionnaire II). The study design controlled for pre-stroke psychopathology and physical immobility (Barthel Index). Results: Partial correlation analyses revealed a significant medium-to-large association between the entire set of clinical outcomes and lack of psychological flexibility ( r ⩽ 0.62, p &lt; 0.001). In moderator analyses, the magnitude of this association did not vary significantly with diagnosis of acquired communication disorders (i.e., aphasia, apraxia of speech or dysarthria; separately or combined). Conclusion: The current results demonstrate a substantial link between post-stroke psychopathology and psychological flexibility. This finding opens new avenues for research on depression and other mental-health problems in stroke survivors with and without acquired communication disorders. Registration: www.drks.de ; identifier: DRKS00031204

Context-dependent approach and avoidance behavioral profiles as predictors of psychopathology.

Inhibition (a temperamental profile characterized by elevated levels of avoidance behaviors) is associated with increased likelihood for developing anxiety and depression, whereas exuberance (a temperamental profile characterized by elevated levels of approach behaviors) is associated with increased likelihood for developing externalizing conditions (e.g., attention deficit/hyperactivity disorder and conduct disorder). However, not all children who exhibit high levels of approach or avoidance behaviors develop emotional or behavioral problems. In this preregistered study, we assessed context-dependent profiles of approach and avoidance behaviors in 3-year-old children (N=366). Using latent profile analysis, four groups were identified: nonsocial approachers, social approachers, social avoiders, and nonsocial avoiders. Analyses revealed that there were minimal differences in internalizing and externalizing symptoms across the four context-dependent groups. However, exploratory analyses assessed whether high levels of approach or avoidance combined across contexts, similar to findings reported in prior work, were related to psychopathology. Children identified as high in avoidance behavior at 3 years of age were more likely to show internalizing symptoms at 3 years of age but not at 5 years of age. Children high in approach were more likely to meet criteria for anxiety and externalizing disorders by age 5 years. These findings further our understanding of individual differences in how young children adjust their behavior based on contextual cues and may inform methods for identifying children at increased likelihood for the development of emotional and behavioral problems. RESEARCH HIGHLIGHTS: Context-dependent approach and avoidance profiles were identified in 3-year-old children using a person-centered approach. Children who were high in approach behavior, regardless of context, at age three had a higher likelihood for developing an anxiety or externalizing disorder by age five. These findings may help identify children at increased risk of developing emotional and behavioral problems.

Selectively predicting the onset of ADHD, oppositional defiant disorder, and conduct disorder in early adolescence with high accuracy.

The externalizing disorders of attention deficit hyperactivity disorder (ADHD), oppositional defiant disorder (ODD), and conduct disorder (CD) are common in adolescence and are strong predictors of adult psychopathology. While treatable, substantial diagnostic overlap complicates intervention planning. Understanding which factors predict the onset of each disorder and disambiguating their different predictors is of substantial translational interest. We analyzed 5,777 multimodal candidate predictors from children aged 9-10 years and their parents in the ABCD cohort to predict the future onset of ADHD, ODD, and CD at 2-year follow-up. We used deep learning optimized with an innovative AI algorithm to jointly optimize model training, perform automated feature selection, and construct individual-level predictions of illness onset and all prevailing cases at 11-12 years and examined relative predictive performance when candidate predictors were restricted to only neural metrics. Multimodal models achieved ~86-97% accuracy, 0.919-0.996 AUROC, and ~82-97% precision and recall in testing in held-out, unseen data. In neural-only models, predictive performance dropped substantially but nonetheless achieved accuracy and AUROC of ~80%. Parent aggressive and externalizing traits uniquely differentiated the onset of ODD, while structural MRI metrics in the limbic system were specific to CD. Psychosocial measures of sleep disorders, parent mental health and behavioral traits, and school performance proved valuable across all disorders. In neural-only models, structural and functional MRI metrics in subcortical regions and cortical-subcortical connectivity were emphasized. Overall, we identified a strong correlation between accuracy and final predictor importance. Deep learning optimized with AI can generate highly accurate individual-level predictions of the onset of early adolescent externalizing disorders using multimodal features. While externalizing disorders are frequently co-morbid in adolescents, certain predictors were specific to the onset of ODD or CD vs. ADHD. To our knowledge, this is the first machine learning study to predict the onset of all three major adolescent externalizing disorders with the same design and participant cohort to enable direct comparisons, analyze >200 multimodal features, and include many types of neuroimaging metrics. Future study to test our observations in external validation data will help further test the generalizability of these findings.

Parent behaviors as predictors of preadolescent appraisal and coping

Preadolescent appraisal and coping are significant predictors of youth psychopathology. However, little research examines how parenting behaviors relate to the development of these skills by forming a key context in which children learn to manage stressors. This study examined how observed maternal and paternal behaviors derived from a parent-child interaction task relate to levels of and growth in child appraisal (threat, positive) and coping (active, avoidant) across three years in preadolescence (n = 214, ages 8–12 years old at Time 1). Greater maternal warmth predicted lower threat appraisal and avoidant coping, and greater maternal negativity predicted greater increases in avoidance. Increased paternal warmth predicted lower initial levels of threat appraisal. Boys showed less growth in active coping than girls. These findings suggest parenting behaviors relate to preadolescents' utilization of maladaptive coping strategies such as avoidance and may be important intervention targets for supporting youth managing stressors.

Predictors of neurofeedback treatment outcome in binge-eating disorder: An exploratory study.

Knowledge on predictors for treatment response to psychotherapy in binge-eating disorder (BED) is mixed and not yet available for increasingly popular neurofeedback (NF) treatment targeting self-regulation of aberrant brain activity. This study examined eating disorder- and psychopathology-related predictors for NF treatment success in BED. Patients with BED (N = 78) were randomized to 12 sessions of real-time functional near-infrared spectroscopy (rtfNIRS)-NF, targeting individual prefrontal cortex signal up-regulation, electroencephalography (EEG)-NF, targeting down-regulation of fronto-central beta activity, or waitlist (WL). The few studies assessing predictors for clinical outcomes after NF and evidenced predictors for psychotherapy guided the selection of baseline eating disorder-related predictors, including objective binge-eating (OBE) frequency, eating disorder psychopathology (EDP), food cravings, and body mass index (BMI), and general psychopathology-related predictors, including depressive and anxiety symptoms, impulsivity, emotion dysregulation, and self-efficacy. These questionnaire-based or objectively assessed (BMI) predictors were regressed on outcomes OBE frequency and EDP as key features of BED at post-treatment (t1) and 6-month follow-up (t2) in preregistered generalized mixed models (https://osf.io/4aktp). Higher EDP, food cravings, and BMI predicted worse outcomes across all groups at t1 and t2. General psychopathology-related predictors did not predict outcomes at t1 and t2. Explorative analyses indicated that lower OBE frequency and higher self-efficacy predicted lower OBE frequency, and lower EDP predicted lower EDP after the waiting period in WL. Consistent with findings for psychotherapy, higher eating disorder-related predictors were associated with higher EDP and OBE frequency. The specificity of psychopathological predictors for NF treatment success warrants further examination. This exploratory study firstly assessed eating disorder- and psychopathology-related predictors for neurofeedback treatment outcome in binge-eating disorder and overweight. Findings showed an association between higher eating disorder symptoms and worse neurofeedback outcomes, indicating special needs to be considered in neurofeedback treatment for patients with a higher binge-eating disordersymptom burden. In general, outcomes and assignment to neurofeedback treatment may be improved upon consideration of baseline psychological variables.

Incongruent affect in early childhood: Neurobiological markers and links to psychopathology.

Researchers have long investigated emotion-related facial expressions, such as smiling and frowning, to further the field's understanding of behavior, emotions, and psychopathology. Fewer studies have examined incongruent affect; facial expressions that do not match internal emotional experiences (e.g., smiling during frustration). Although not extensive, current accounts of incongruent affect in early childhood have assumed that these expressions indicate masking, an active regulatory process. Thus, many researchers contend that incongruent affect represents an adaptive emotion regulation strategy. However, little attention has been paid to incongruent affect, and its neurobiological correlates in early childhood. The present study examined complete versus partial incongruent smiling in preschool-aged children (3.5- to 5-years-old) who completed a frustration-eliciting task. We examined simultaneous neurobiological markers of incongruent smiles using functional near-infrared spectroscopy (fNIRS) and galvanic skin response (GSR) and tested links to parent-rated emotion regulation and psychopathology. Neutral and negative expressions were assessed as comparison expressions. Results revealed that complete incongruent smiling predicted poor effortful control, whereas partial incongruent smiling was not a significant predictor of regulation, neurobiological changes, or psychopathology. Neutral expressions predicted better effortful control skills and adaptive physiological response patterns. Results suggest that incongruent affect may signal poor regulation of positive affectivity in low-interpersonal contexts, while neutral expressions may act as masking expressions. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Problematic online behaviors and psychopathology in Australia

This study aimed to ascertain frequency rates and predictors of six problematic online behaviors (POBs) in an Australian sample. Participants (N = 1626) completed instruments measuring problematic online gaming, cyberchondria, problematic cybersex, problematic online shopping, problematic use of social networking sites, problematic online gambling, anxiety, depression and attention deficit/hyperactivity disorder (ADHD). Each POB was presumed to be present based on the cut-off score on the corresponding instrument and at least one indicator of interference with functioning. Generalized linear model analyses were used to determine socio-demographic and psychopathological predictors of each POB. The most common POB was problematic online shopping (12.2%), followed by problematic online gambling (11.4%), problematic use of social networking sites (6.0%), problematic cybersex (5.3%), problematic online gaming (5.2%) and cyberchondria (4.6%). Age group 27–36 had the highest rates of POBs. The intensity of ADHD symptoms predicted all POBs, whereas younger age predicted all POBs except for problematic cybersex and online gambling. Female gender predicted lower scores on the measures of problematic online gaming and cybersex. These findings have implications for age- and gender-adapted education, prevention and treatment efforts and suggest that specific POBs should be investigated separately instead of lumping them together under the umbrella terms such as “Internet addiction”.

Exploring Caloric Restriction in Inpatients with Eating Disorders: Cross-Sectional and Longitudinal Associations with Body Dissatisfaction, Body Avoidance, Clinical Factors, and Psychopathology.

Reduction in food intake is an important feature of eating disorders (EDs). However, whereas self-reported cognitive control over food (i.e., dietary restraint) is commonly assessed, we are not aware of any study evaluating the actual reduction in caloric intake (i.e., caloric restriction, CR) and its relationships with psychopathological, clinical, and anamnestic factors in individuals with EDs. In this study, we quantified caloric intake, CR, and weight suppression in 225 ED inpatients and explored significant relationships with self-reported eating symptoms, body dissatisfaction, body avoidance, personality, and affective symptoms. For underweight inpatients (n = 192), baseline predictors of caloric intake and restriction at discharge were assessed through a data-driven approach. CR at admission was significantly related to eating symptomatology, state anxiety, and body image. In regression models, CR, higher BMI, binge-purging symptoms, and the interaction between weight suppression and CR were significantly related to body dissatisfaction. The best psychopathological predictors of caloric intake and restriction at discharge for underweight inpatients were perfectionistic concern over mistakes and state anxiety. These results suggest that caloric restriction is associated to relevant ED features and warrant for a multidimensional assessment of ED psychopathology.