Revalidating a Measure of Parents' Attitudes Toward Gender and Sexuality Diversity-Inclusive Curricula in an Australian National Sample

This paper details revalidation of a higher-order (HO) version of the Parental Attitudes Toward Inclusiveness Instrument (PATII), measuring parents' attitudes toward curricular inclusivity of gender and sexuality diversity. The 48-item scale includes two HO factors: Supports and Barriers, and one first-order factor: Parental Capability. Responses from parents of government-school students (N = 2093) provided evidence for scale reliability, validity, and measurement invariance.

Nerolidol reduces depression-like behavior in mice and suppresses microglia activation by down-regulating DNA methyltransferase 1

Modern medicine has unveiled that essential oil made from Aquilaria possesses sedative and hypnotic effects. Among the chemical components in Aquilaria, nerolidol, a natural sesquiterpene alcohol, has shown promising effects. This study aimed to unravel the potential of nerolidol in treating depression. Chronic unpredictable mild stress (CUMS) was utilized to induce depression-like behavior in mice, and open field test, sucrose preference, and tail suspension test was conducted. The impacts of nerolidol on the inflammatory response, microglial activation, and DNA methyltransferase 1 (DNMT1) were assessed. To study the regulatory role of DNMT1, lipopolysaccharide (LPS) was used to treat BV2 cells, followed by the evaluation of cell viability and DNMT1 level. Additionally, the influence of DNMT1 overexpression on BV2 cell activation was determined. Behavioral analysis revealed that nerolidol reduced depression-like behavior in mice. Nerolidol reduced the levels of inflammatory factors and microglial activation caused by CUMS. Nerolidol treatment was found to reduce DNMT1 levels in mouse brain tissue and it also decrease the LPS-induced increase in DNMT1 levels in BV2 cells. DNMT1 overexpression reversed the impacts of nerolidol on the inflammation response and cell activation. This study underscores the potential of nerolidol in reducing CUMS-induced depressive-like behavior and inhibiting microglial activation by downregulating DNMT1. These findings offer valuable insights into the potential of nerolidol as a therapeutic option for depression.

Exploring risk factors and their differences on suicidal ideation and suicide attempts among depressed adolescents based on decision tree model

BACKGROUND

Suicide has been recognized as a major global public health issue. Depressed adolescents are more prone to experiencing it. We explore risk factors and their differences on suicidal ideation and suicide attempts to further enhance our understanding of suicidal behavior.

METHODS

2343 depressed adolescents aged 12-18 from 9 provinces/cities in China participated in this cross-sectional study. We utilized decision tree model, incorporating 32 factors encompassing participants' suicidal behavior. The feature importance of each factor was measured using Gini coefficients.

RESULTS

The decision tree model demonstrated a good fit with high accuracy (SI = 0.86, SA = 0.85 and F-Score (SI = 0.85, SA = 0.83). The predictive importance of each factor varied between groups with suicidal ideation and with suicide attempts. The most significant risk factor in both groups was depression (SI = 16.7 %, SA = 19.8 %). However, factors such as academic stress (SI = 7.2 %, SA = 1.6 %), hopelessness (SI = 9.1 %, SA = 5.0 %), and age (SI = 7.1 %, SA = 3.2 %) were more closely associated with suicidal ideation than suicide attempts. Factors related to the schooling status (SI = 3.5 %, SA = 10.1 %), total years of education (SI = 2.6 %, SA = 8.6 %), and loneliness (SI = 2.3 %, SA = 7.4 %) were relatively more important in the suicide attempt stage compared to suicidal ideation.

LIMITATIONS

The cross-sectional design limited the ability to capture changes in suicidal behavior among depressed adolescents over time. Possible bias may exist in the measurement of suicidal ideation.

CONCLUSION

The relative importance of each risk factor for suicidal ideation and attempted suicide varies. These findings provide further empirical evidence for understanding suicide behavior. Targeted treatment measures should be taken for different stages of suicide in clinical interventions.

Current perspectives on perinatal mental health and neurobehavioral development: focus on regulation, coregulation and self-regulation

PURPOSE OF REVIEW

Perinatal mental health research provides an important perspective on neurobehavioral development. Here, we aim to review the association of maternal perinatal health with offspring neurodevelopment, providing an update on (self-)regulation problems, hypothesized mechanistic pathways, progress and challenges, and implications for mental health.

RECENT FINDINGS

(1) Meta-analyses confirm that maternal perinatal mental distress is associated with (self-)regulation problems which constitute cognitive, behavioral, and affective social-emotional problems, while exposure to positive parental mental health has a positive impact. However, effect sizes are small. (2) Hypothesized mechanistic pathways underlying this association are complex. Interactive and compensatory mechanisms across developmental time are neglected topics. (3) Progress has been made in multiexposure studies. However, challenges remain and these are shared by clinical, translational and public health sciences. (4) From a mental healthcare perspective, a multidisciplinary and system level approach employing developmentally-sensitive measures and timely treatment of (self-)regulation and coregulation problems in a dyadic caregiver-child and family level approach seems needed. The existing evidence-base is sparse.

SUMMARY

During the perinatal period, addressing vulnerable contexts and building resilient systems may promote neurobehavioral development. A pluralistic approach to research, taking a multidisciplinary approach to theoretical models and empirical investigation needs to be fostered.

The associations between repetitive negative thinking, insomnia symptoms, and sleep quality in adults with a history of trauma

BACKGROUND

Posttraumatic stress disorder (PTSD) and sleep disturbance are highly comorbid and repetitive negative thinking (RNT) is associated with both sleep disturbance and PTSD. However, few studies have examined the association between RNT and sleep disturbance in individuals exposed to trauma, with and without PTSD.

METHOD

Associations between trait-level and trauma-related RNT, insomnia, and sleep quality were investigated in a trauma-exposed MTurk (N = 342) sample. Additionally, PTSD symptom severity was tested as a moderator of the associations between RNT and insomnia and sleep quality.

RESULTS

Trait-level RNT predicted poorer sleep quality and greater insomnia, regardless of PTSD severity. Trauma-related RNT was also associated with greater insomnia, though the effect was moderated by PTSD severity such that it was significant for participants with low and moderate, but not severe, PTSD. Both trait- and trauma-related RNT were associated with several specific aspects of sleep quality, including: sleep disturbances, daytime dysfunction, use of sleep medications, sleep onset latency, and subjective sleep quality.

CONCLUSIONS

This study demonstrates significant associations linking RNT with insomnia and sleep disturbance in trauma-exposed individuals. Clinically, results suggest that it may be helpful to target both general and trauma-related RNT in sleep interventions for trauma-exposed individuals with insomnia.

A direct estrogenic involvement in the expression of human hypocretin

Hypocretin is synthesized exclusively in the hypothalamus and distributes inputs to several areas of the brain, which may play an important role in depression. Our previous study showed that hypocretin-1 was increased in the lateral hypothalamus in female patients with depression compared to female controls. Estrogen acts through estrogen receptor (ER)α and ERβ. We studied the possibility of a direct action of estrogen receptors on the expression of human hypocretin. We found that hypocretin-1 plasma levels were significantly higher in female patients with depression than in female controls. Female depression estrogen receptors and hypocretin are colocalized in the human lateral hypothalamus, PC12, and SK-N-SH cells. The estrogen receptor response elements (ERE) that exist in the hypocretin promoter region may directly regulate the gene expression of hypocretin. The synchronicity of change of hypocretin and estradiol both in hypothalamus and plasma was verified in female rats. In the presence of estradiol, specific binding occurs between the recombinant human ER and hypocretin-ERE. Expression of ER combined with estradiol repressed hypocretin promoter activity via the ERE. In conclusion, we found that estradiol may directly affect hypocretin neurons in the human hypothalamus via ER binding to the hypocretin-ERE, which may lead to the sex-specific pathogenesis of depression.

Salivary CRP predicts treatment response to virtual reality exposure therapy for social anxiety disorder

BACKGROUND

Social anxiety disorder (SAD) places a profound burden on public health and individual wellbeing. Systemic inflammation may be important to the onset and maintenance of SAD, and anti-inflammatory treatments have shown promise in relieving symptoms of SAD. In the present study, we conducted secondary analyses on data from a randomized clinical trial to determine whether C-reactive protein (CRP) concentrations and social anxiety symptoms decreased over the course of virtual reality exposure therapy, and whether changes in social anxiety symptoms as a function of treatment varied as a function of CRP.

METHOD

Adult participants (N = 78) with a diagnosis of SAD (59 % female) were randomized to receive exposure therapy alone, or exposure therapy supplemented with scopolamine. Social anxiety symptoms, salivary CRP, and subjective units of distress were measured across three exposure therapy sessions, at a post-treatment extinction retest, and at a 1-month follow-up.

RESULTS

CRP decreased over the course of treatment, b = -0.03 (SE = 0.01), p =.02 95 %CI [-0.06, -0.004], as did all social anxiety symptom domains and subjective distress. Higher CRP was associated with greater decreases from pre-treatment to 1-month follow-up in fear, b = -0.45 (SE = 0.15), p =.004 95 %CI [-0.74, -0.15], and avoidance, b = -0.62 (SE = 0.19), p =.002 95 %CI [-1.01, -0.23], and in-session subjective distress from pre-treatment to post-treatment, b = -0.42 (SE = 0.21), p =.05 95 %CI [-0.83, -0.001]. However, declines in CRP were not correlated with declines in fear, r = -0.07, p =.61, or avoidance, r = -0.10, p =.49, within-persons.

CONCLUSIONS

Virtual reality exposure therapy may be associated with an improvement in systemic inflammation in patients with severe SAD. Pre-treatment CRP may also be of value in predicting which patients stand to benefit the most from this treatment.

Predicting non-response to ketamine for depression: An exploratory symptom-level analysis of real-world data among military veterans

Ketamine helps some patients with treatment resistant depression (TRD), but reliable methods for predicting which patients will, or will not, respond to treatment are lacking. Herein, we aim to inform prediction models of non-response to ketamine/esketamine in adults with TRD. This is a retrospective analysis of PHQ-9 item response data from 120 patients with TRD who received repeated doses of intravenous racemic ketamine or intranasal eskatamine in a real-world clinic. Regression models were fit to patients' symptom trajectories, showing that all symptoms improved on average, but depressed mood improved relatively faster than low energy. Principal component analysis revealed a first principal component (PC) representing overall treatment response, and a second PC that reflects variance across affective versus somatic symptom subdomains. We then trained logistic regression classifiers to predict overall response (improvement on PC1) better than chance using patients' baseline symptoms alone. Finally, by parametrically adjusting the classifier decision thresholds, we identified optimal models for predicting non-response with a negative predictive value of over 96 %, while retaining a specificity of 22 %. Thus, we could identify 22 % of patients who would not respond based purely on their baseline symptoms. This approach could inform rational treatment recommendations to avoid additional treatment failures.

Reduced frontocingulate theta connectivity during emotion regulation in major depressive disorder

BACKGROUND

Cognitive reappraisal is an essential emotion regulation skill for social life and psychological health. However, individuals with major depressive disorder (MDD) cannot use this skill effectively. Successful cognitive reappraisal in healthy controls (HC) has been shown to be associated with theta activity in a frontal and subcortical network. In the present study, we investigated whether MDD patients are characterized by altered theta power and connectivity pattern during cognitive reappraisal compared to HC.

METHODS

Using EEG and eLORETA, we examined both theta activity and connectivity when 25 controls and 24 patients with MDD were asked to complete the emotion cognitive reappraisal task of viewing neutral and negative pictures and reappraise negative pictures. Habitual use of emotion regulation skills was collected using the Cognitive Emotion Regulation Questionnaire (CERQ).

RESULTS

The results showed that MDD patients had (1) reduced theta activity in the left dorsolateral (dlPFC), dorsomedial prefrontal (dmPFC), and rostral-ventral cingulate cortices (rvACC), as well as (2) reduced dlPFC-rvACC theta connectivity than HC during reappraisal. In addition, left dlPFC-rvACC theta connectivity was positively correlated with self-reported cognitive reappraisal in HC. This relation was not observed in MDD. In contrast, CERQ revealed significantly greater use of inadequate regulations skills and significantly lower use of adaptive skills in MDD.

LIMITATION

Sample size, limited solution space to cortical grey matter excluding regions such as the amygdala.

CONCLUSION

This study may indicate a putative frontocingulate dysfunction leading either to an increased use of inadequate emotion regulation or a decreased use of skills that serve to boost positive emotion.

Effect of Physical Exercise on MRI-Assessed Brain Perfusion in Chemotherapy-Treated Breast Cancer Patients: A Randomized Controlled Trial

BACKGROUND

Exercise is a promising intervention to alleviate cognitive problems in breast cancer patients, but studies on mechanisms underlying these effects are lacking.

PURPOSE

Investigating whether an exercise intervention can affect cerebral blood flow (CBF) in cognitively impaired breast cancer patients and to determine if CBF changes relate to memory function.

STUDY TYPE

Prospective.

POPULATION

A total of 181 chemotherapy-treated stage I-III breast cancer patients with cognitive problems and relatively low physical activity levels (≤150 minutes moderate to vigorous physical activity per week), divided into an exercise (N = 91) or control group (N = 90).

FIELD STRENGTH/SEQUENCE

Two-dimensional echo planar pseudo-continuous arterial spin labeling CBF sequence at 3 T.

ASSESSMENT

The 6-month long intervention consisted of (supervised) aerobic and strength training, 4 × 1 hour/week. Measurements at baseline (2-4 years post-diagnosis) and after 6 months included gray matter CBF in the whole brain, hippocampus, anterior cingulate cortex, and posterior cingulate cortex. Physical fitness and memory function were also assessed. Subgroup analyses were performed in patients with high fatigue levels at baseline.

STATISTICAL TESTS

Multiple regression analyses with a two-sided alpha of 0.05 for all analyses.

RESULTS

There was a significant improvement in physical fitness (VO2peak in mL/minute/kg) in the intervention group (N = 53) compared to controls (N = 51, β = 1.47 mL/minute/kg, 95% CI: 0.44-2.50). However, no intervention effects on CBF were found (eg, whole brain: P = 0.565). Highly fatigued patients showed larger but insignificant treatment effects on CBF (eg, whole brain: P = 0.098). Additionally, irrespective of group, a change in physical fitness was positively associated with changes in CBF (eg, whole brain: β = 0.75, 95% CI: 0.07-1.43). There was no significant relation between CBF changes and changes in memory performance.

DATA CONCLUSION

The exercise intervention did not affect CBF of cognitively affected breast cancer patients. A change in physical fitness was associated with changes in CBF, but changes in CBF were not associated with memory functioning.

LEVEL OF EVIDENCE

1 TECHNICAL EFFICACY STAGE: 5.

Adolescent Nonsuicidal Self-Injury and Suicidality: A Latent Class Analysis and Associations with Clinical Characteristics in an At-Risk Cohort

Nonsuicidal self-injury (NSSI) is frequently encountered in adolescents, but its predictive value for suicidality or other clinical characteristics is challenging due to its heterogeneous nature. This study used latent class analysis to identify subgroups of NSSI and compared these on sociodemographic characteristics, adverse outcomes and protective factors. The study included 966 high-risk adolescents, Mage 14.9 y, SD 0.9 y, 51.8% female. Four classes emerged: (1) "Low NSSI-Low suicidality", (2) "Moderate NSSI-Low suicidality", (3) "Moderate NSSI-High suicidality", and (4) "High NSSI-High suicidality". Girls predominated in the high suicidality classes. Generally, Class 4 had the poorest outcomes: more internalizing and externalizing problems, less social support from friends and families and worst self-esteem. These findings emphasize the need for interventions tailored to specific phenotypes of adolescents engaging in NSSI.

Social Support and Social Stress Among Suicidal Inpatients at Military Treatment Facilities: A Multidimensional Investigation

ABSTRACT

The associations between social support and stress with internalizing symptoms (depressive symptoms and hopelessness) and hazardous drinking were tested in an inpatient sample of suicidal military personnel. Baseline data from a randomized clinical trial were analyzed. Different sources of support and stressors in the social context of military personnel were differentially linked to internalizing symptoms and hazardous drinking. In the full sample ( n = 192), family and nonfamily support were both inversely associated with internalizing symptoms but not hazardous drinking. Family stress was positively associated with internalizing symptoms. In a subsample of service members who had a history of deployment ( n = 98), postdeployment social support was protective against internalizing symptoms, whereas deployment harassment was associated with increased odds of hazardous drinking. Results underscore the need for assessment of various dimensions of social support and stress to guide case formulation and optimize strategies to support patients' mental well-being and adaptive coping.

Characterizing cognitive subtypes in schizophrenia using cortical curvature

Cognitive deficits are a core symptom of schizophrenia, but research on their neural underpinnings has been challenged by the heterogeneity in deficits' severity among patients. Here, we address this issue by combining logistic regression and random forest to classify two neuropsychological profiles of patients with high (HighCog) and low (LowCog) cognitive performance in two independent samples. We based our analysis on the cortical features grey matter volume (VOL), cortical thickness (CT), and mean curvature (MC) of N = 57 patients (discovery sample) and validated the classification in an independent sample (N = 52). We investigated which cortical feature would yield the best classification results and expected that the 10 most important features would include frontal and temporal brain regions. The model based on MC had the best performance with area under the curve (AUC) values of 76% and 73%, and identified fronto-temporal and occipital brain regions as the most important features for the classification. Moreover, subsequent comparison analyses could reveal significant differences in MC of single brain regions between the two cognitive profiles. The present study suggests MC as a promising neuroanatomical parameter for characterizing schizophrenia cognitive subtypes.

Challenges and Opportunities in Interdisciplinary Research and Real-World Data for Treatment Sequences in Health Technology Assessments

With an ever-increasing number of treatment options, the assessment of treatment sequences has become crucial in health technology assessment (HTA). This review systematically explores the multifaceted challenges inherent in evaluating sequences, delving into their interplay and nuances that go beyond economic model structures. We synthesised a 'roadmap' of literature from key methodological studies, highlighting the evolution of recent advances and emerging research themes. These insights were compared against HTA guidelines to identify potential avenues for future research. Our findings reveal a spectrum of challenges in sequence evaluation, encompassing selecting appropriate decision-analytic modelling approaches and comparators, deriving appropriate clinical effectiveness evidence in the face of data scarcity, scrutinising effectiveness assumptions and statistical adjustments, considering treatment displacement, and optimising model computations. Integrating methodologies from diverse disciplines-statistics, epidemiology, causal inference, operational research and computer science-has demonstrated promise in addressing these challenges. An updated review of application studies is warranted to provide detailed insights into the extent and manner in which these methodologies have been implemented. Data scarcity on the effectiveness of treatment sequences emerged as a dominant concern, especially because treatment sequences are rarely compared in clinical trials. Real-world data (RWD) provide an alternative means for capturing evidence on effectiveness and future research should prioritise harnessing causal inference methods, particularly Target Trial Emulation, to evaluate treatment sequence effectiveness using RWD. This approach is also adaptable for analysing trials harbouring sequencing information and adjusting indirect comparisons when collating evidence from heterogeneous sources. Such investigative efforts could lend support to reviews of HTA recommendations and contribute to synthesising external control arms involving treatment sequences.

A Comparative Study on Mental Disorder Conceptualization: A Cross-Disciplinary Analysis

The conceptualization of mental disorders varies among professionals, impacting diagnosis, treatment, and research. This cross-disciplinary study aimed to understand how various professionals, including psychiatrists, psychologists, medical students, philosophers, and social sciences experts, perceive mental disorders, their attitudes towards the disease status of certain mental states, and their emphasis on biological versus social explanatory attributions. A survey of 371 participants assessed their agreement on a variety of conceptual statements and the relative influence of biological or social explanatory attribution for different mental states. Our findings revealed a consensus on the need for multiple explanatory perspectives in understanding psychiatric conditions and the influence of social, cultural, moral, and political values on diagnosis and classification. Psychiatrists demonstrated balanced bio-social explanatory attributions for various mental conditions, indicating a potential shift from the biological attribution predominantly observed among medical students and residents in psychiatry. Further research into factors influencing these differing perspectives is necessary.

Is it time to discard the Diagnostic and Statistical Manual of Mental Disorders (DSM) in psycho-oncology?

The conceptual basis of psychopathology within cancer survivorship is critical, as the chosen conceptualisation informs assessment and explanatory models, as well as interventions and supportive care approaches. The validity of a chosen conceptualisation of psychopathology is therefore paramount for ensuring cancer survivors receive high-quality and efficacious care and support that can be iteratively improved via coordinated research efforts. In this paper, we discuss the traditional diagnostic approach to conceptualising psychopathology within cancer care, including the diagnostic system the 'Diagnostic and Statistical Manual of Mental Disorders' (DSM) [1], and the significant issues it presents within cancer survivorship. We detail and discuss how an alternate conceptualisation of psychopathology may enhance both research and practice within psycho-oncology. We ultimately pose, and provide our perspective, on the question "Is it Time to Discard the DSM in Psycho-Oncology?"

Validation of the structured interview section of the penn computerized adaptive test for neurocognitive and clinical psychopathology assessment (CAT GOASSESS)

Large-scale studies and burdened clinical settings require precise, efficient measures that assess multiple domains of psychopathology. Computerized adaptive tests (CATs) can reduce administration time without compromising data quality. We examined feasibility and validity of an adaptive psychopathology measure, GOASSESS, in a clinical community-based sample (N = 315; ages 18-35) comprising three groups: healthy controls, psychosis, mood/anxiety disorders. Assessment duration was compared between the Full and CAT GOASSESS. External validity was tested by comparing how the CAT and Full versions related to demographic variables, study group, and socioeconomic status. The relationships between scale scores and criteria were statistically compared within a mixed-model framework to account for dependency between relationships. Convergent validity was assessed by comparing scores of the CAT and the Full GOASSESS using Pearson correlations. The CAT GOASSESS reduced interview duration by more than 90 % across study groups and preserved relationships to external criteria and demographic variables as the Full GOASSESS. All CAT GOASSESS scales could replace those of the Full instrument. Overall, the CAT GOASSESS showed acceptable psychometric properties and demonstrated feasibility by markedly reducing assessment time compared to the Full GOASSESS. The adaptive version could be used in large-scale studies or clinical settings for intake screening.

Pathways Linking Parental Care and Control to Loneliness in Breast Cancer Patients with A History of Childhood Maltreatment: Exploring the Mediating Roles of Ambivalence Over Emotional Expression and Self-Discrepancy

Childhood maltreatment is a risk factor for loneliness and is linked to breast cancer. Parental bonding experienced during one's childhood also plays a significant role in increasing or decreasing the risk of loneliness later in life. Previous research has highlighted the significance of ambivalence over emotional expression (AEE) and self-discrepancy in the psychological adaptation of breast cancer patients, particularly concerning the impact of parental care and control experienced by patients in their relationship with their parents during childhood. Nevertheless, previous studies have not examined the mediating effects of AEE and self-discrepancy on parental care and control, as well as loneliness, in breast cancer patients. This study aimed to investigate whether AEE and self-discrepancy mediate the association of childhood parental care and control with loneliness in breast cancer patients with a history of childhood maltreatment. One hundred and thirty-three breast cancer patients who were receiving chemotherapy within the first 3 months post-diagnosis were recruited from one private and three public hospitals in Tabriz, Iran, to complete questionnaires. Parental bonding, loneliness, AEE, and self-discrepancy were assessed using the Parental Bonding Instrument (PBI), University of California Los Angeles (UCLA) Loneliness Scale, Ambivalence over the Expression of Emotion Questionnaire (AEQ), and Self-Discrepancies Scale (S-DS). Mediation models were tested using structural equation modeling. Effects of parental care (β = -.17, p < .05) and control (β = .21, p < .001) on loneliness were significant. Furthermore, both AEE (β = .19, p < .05) and self-discrepancy (β = .23, p < .01) significantly predicted loneliness. The pathway between parental care and AEE was significant (β = -.21, p < .001), as was the direct effect of parental control on self-discrepancy (β = .19, p < .05). Bootstrapping results showed that AEE significantly mediated the relationship between parental care and loneliness (95% confidence interval [CI] [-0.09, -0.01]). In addition, there was a significant indirect effect from parental control to loneliness via self-discrepancy (95% CI [0.11, 0.01]). These findings suggest that AEE and self-discrepancy could potentially be utilized in preventing or addressing loneliness in breast cancer patients who have a history of childhood maltreatment. Future research could, for example, assess whether integrating psychosocial interventions focusing on these variables as part of medical care can improve the mental health status of this subgroup of breast cancer patients who have experienced childhood maltreatment.

Lifetime adversity predicts depression, anxiety, and cognitive impairment in a nationally representative sample of older adults in the United States

OBJECTIVE

Although life stress and adversity are well-known risk factors for mental health problems and cognitive impairment among older adults, limited research has comprehensively examined the impact of both childhood and adulthood adversity on psychiatric and cognitive impairment symptoms over a prolonged period. To address this issue, we investigated how lifetime adversity exposure is related to symptoms of depression, anxiety, and cognitive impairment in a nationally representative, longitudinal sample of older adults in the United States.

METHOD

We analyzed data from the Health and Retirement Study (1992-2016). The sample included 3496 individuals (59.9% female), aged ≥64 years old (Mage = 76.0 ± 7.6 years in 2016). We used the individual-level panel data and ordinary least squares regressions to estimate associations between childhood and adulthood adversities, and later-life depression, anxiety, and cognitive impairment.

RESULTS

Many participants experienced a significant early life (38%) or adulthood (79%) stressor. Moreover, experiencing one childhood adversity (vs. none) was associated with a 17.4% increased risk of adulthood adversity. Finally, as hypothesized, childhood adversity exposure was related to experiencing more depression and anxiety symptoms in later life, whereas adulthood stressor exposure predicted more cognitive impairment as well as more depression and anxiety symptoms.

DISCUSSION

These findings demonstrate significant associations between lifetime adversity and symptoms of depression, anxiety, and cognitive impairment in older adults. Screening for lifetime stressors may thus help healthcare professionals and policymakers identify individuals who could potentially benefit from interventions designed to reduce stress and enhance resilience.

Correlation Between Life Satisfaction and Symptoms of ADHD in Dental Students: The Mediation of Resilience

OBJECTIVE

This study explores the correlation between life satisfaction and ADHD symptoms. It also discusses whether resilience mediates the correlation between ADHD symptoms and life satisfaction.

METHOD

We surveyed 297 dental students. A total of 291 completed a self-report scale consisting of the Adult ADHD Self-Report Scale, Wender Utah Rating Scale, Life Satisfaction Scale, and Conner-Davidson Resilience Scale. The study used hierarchical linear regression analysis, resampling, and asymptotic strategies for data processing.

RESULTS

The ADHD screening results of the self-report scale were positive for 6.87% of the students. This positive rate differed among participants of diverse ages and varying paternal education levels. ADHD symptoms were negatively correlated with life satisfaction and resilience. Life satisfaction was observably positively associated with resilience. Resilience serves as a mediating role between life satisfaction and the two symptoms of ADHD.

CONCLUSION

Resilience intervention programs can enhance the life satisfaction of dental students, especially those with positive ADHD symptoms screening.

Visceral sensitivity, hunger responsiveness, and satiety responsiveness: Associations between facets of gastrointestinal interoception and disordered eating profiles in an undergraduate sample

This preregistered study examined associations between empirically derived profiles of disordered eating in a diverse nonclinical sample and three facets of gastrointestinal (GI) interoception (visceral sensitivity, hunger responsiveness, satiety responsiveness). University students (n = 591; 53.3% women; 23.0% Hispanic) completed the Visceral Sensitivity Index, Adult Eating Behavior Questionnaire, and Eating Pathology Symptom Inventory. Latent profile analysis was conducted in Mplus v8.3 with four behavioral indicators (restricting, binge eating, excessive exercise, purging [binary]). Facets of GI interoception predicting odds of disordered eating profile membership compared to an asymptomatic group were evaluated. Five profiles were identified. Facets of GI interoception differentially predicted odds of membership in disordered eating profiles. However, higher scores on all three facets of GI interoception were associated with increased odds of membership in a high disordered eating profile. The relationship between distinct facets of GI interoception and specific disordered eating patterns appears nuanced, though individuals displaying a range of disordered eating behaviors may exhibit broad GI interoceptive dysfunction. Findings are consistent with the recent emphasis on idiographic treatment approaches for disordered eating and may have implications for screening among university students. Prospective longitudinal work and extension to clinical samples is needed.

Influence of Betrayal Trauma on Schizotypal Personality Pathology

Schizotypal personality pathology (SZP) is a persistent and debilitating problem for a substantial number of people. Research on SZP has typically emphasized its biological and more specifically genetic origins. However, recent research has highlighted the potential influence of trauma on SZP. This research is promising, although it has thus far focused primarily on type of trauma (e.g., different types of abuse vs. neglect in childhood) rather than who perpetrated the trauma. Previous studies on both personality pathology in general and psychotic-spectrum experiences characteristic of SZP in particular have highlighted the influence of trauma perpetrated by someone with whom the trauma survivor was close (i.e., betrayal trauma), although this has not yet been examined with respect to SZP specifically. In this study we examined this, evaluating the influence of trauma with varying degrees of betrayal on SZP in a sample of adults (N = 364) using structural equation modeling. Results suggest that interpersonal trauma in general was associated with higher levels of SZP. Findings further indicate that for women but not men, trauma with a high degree of betrayal was uniquely associated with SZP. These results underscore the potential role of trauma in SZP and have implications for future research on and intervention with people with high levels of SZP.

Depressive symptomatology in older adults treated with behavioral activation: A network perspective

BACKGROUND

Late-life depression is a serious mental health problem. Behavioral Activation (BA) is an effective, accessible psychotherapeutic treatment for older adults. However, little is known about which symptoms decrease and how associations between depressive symptoms change during BA treatment.

METHODS

Using data from a cluster-randomized trial for older adults with late-life depression, we estimated a partial correlation network and a relative importance network of depressive symptoms before and after 8 weeks of BA treatment in primary care (n = 96). Networks were examined with measures of network structure, connectivity, centrality as well as stability.

RESULTS

The most central symptoms at baseline and post-treatment were anhedonia, fatigue, and feeling depressed. In contrast, sleeping problems had the lowest centrality. The post-treatment network was significantly more interconnected than at baseline. Moreover, all symptoms were significantly more central at post-treatment.

CONCLUSION

Our findings highlight the utility of the network approach to better understand symptom networks of depressed older adults before and after BA treatment. Results show that network connectivity and centrality of all symptoms increased after treatment. Future studies should investigate longitudinal idiographic networks to explore symptom dynamics within individuals over time.

Identifying unique subgroups in suicide risks among psychiatric outpatients

BACKGROUND

The presence of psychiatric disorders is widely recognized as one of the primary risk factors for suicide. A significant proportion of individuals receiving outpatient psychiatric treatment exhibit varying degrees of suicidal behaviors, which may range from mild suicidal ideations to overt suicide attempts. This study aims to elucidate the transdiagnostic symptom dimensions and associated suicidal features among psychiatric outpatients.

METHODS

The study enrolled patients who attended the psychiatry outpatient clinic at a tertiary hospital in South Korea (n = 1, 849, age range = 18-81; 61% women). A data-driven classification methodology was employed, incorporating a broad spectrum of clinical symptoms, to delineate distinctive subgroups among psychiatric outpatients exhibiting suicidality (n = 1189). A reference group of patients without suicidality (n = 660) was included for comparative purposes to ascertain cluster-specific sociodemographic, suicide-related, and psychiatric characteristics.

RESULTS

Psychiatric outpatients with suicidality (n = 1189) were subdivided into three distinctive clusters: the low-suicide risk cluster (Cluster 1), the high-suicide risk externalizing cluster (Cluster 2), and the high-suicide risk internalizing cluster (Cluster 3). Relative to the reference group (n = 660), each cluster exhibited distinct attributes pertaining to suicide-related characteristics and clinical symptoms, covering domains such as anxiety, externalizing and internalizing behaviors, and feelings of hopelessness. Cluster 1, identified as the low-suicide risk group, exhibited less frequent suicidal ideation, planning, and multiple attempts. In the high-suicide risk groups, Cluster 2 displayed pronounced externalizing symptoms, whereas Cluster 3 was primarily defined by internalizing and hopelessness symptoms. Bipolar disorders were most common in Cluster 2, while depressive disorders were predominant in Cluster 3.

DISCUSSION

Our findings suggest the possibility of differentiating psychiatric outpatients into distinct, clinically relevant subgroups predicated on their suicide risk. This research potentially paves the way for personalizing interventions and preventive strategies that address cluster-specific characteristics, thereby mitigating suicide-related mortality among psychiatric outpatients.

Association of longitudinal trajectories of general and abdominal adiposity during middle age with mental health and well-being in late life: A prospective analysis

Single measures of adiposity markers, such as body mass index (BMI) and waist circumference (WC), are associated with adverse mental health outcomes; however, long-term patterns of adiposity and their health effects remain unclear. The current study assessed adiposity trajectories during a 14-year span beyond middle age and their relevance to mental well-being in late life, and the contribution of genetic and lifestyle factors to the trajectories. Based on a nationally representative sample with longitudinal anthropometric measures, adiposity trajectories were identified by latent mixture modeling, and logistic regression model was used to estimate their associations with mental well-being, with adjustment for confounders. Of the 3491 eligible participants included (mean [SD] age, 69.5 [8.9] years), five discrete BMI and four WC trajectory patterns were identified over 14 years. Compared with the low-stable BMI group (range, 22.8 to 22.9 kg/m²; representing stable healthy body weight), the high-stable group (range, 34.3 to 35.4 kg/m²; stable obese) was associated with increased risk of depression (odds ratio [OR], 1.63; 95 % CI, 1.28-2.07) and low subjective well-being (OR, 1.35; 95 % CI, 1.02-1.79). Compared with the low-stable WC group (range, 75 to 79 cm healthy WC), the high-increasing group (range, 114 to 121 cm) was associated with increased risk of depression (odds ratio [OR], 1.64; 95 % CI, 1.19-2.25) and low well-being (OR, 1.48; 95 % CI, 1.01-2.16). The adiposity trajectories, especially the high-stable/increasing groups, were driven by genetic factors in a dose-response manner, whereas the high/moderate-increasing groups were also behaviorally related. This longitudinal cohort study reveals that stably high trajectory patterns of central and general adiposity during middle age were associated with higher risk of depression and low well-being in late life. The findings indicate the importance of weight management beyond middle age, such as adherence to a healthy lifestyle, in promoting mental health and well-being.

Resting-state functional connectivity of amygdala subregions predicts treatment outcome for cognitive behavioral therapy in obsessive-compulsive disorder at a 4-month follow-up

BACKGROUND

Cognitive behavioral therapy (CBT) is considered as the first-line treatment for obsessive-compulsive disorder (OCD). However, the underlying neural mechanisms through which CBT exerts its effects in OCD remain unclear. This study aims to investigate whether the improvement of clinical symptoms in OCD patients after CBT treatment is associated with changes in resting-state functional connectivity (FC) of the amygdala subregion, and whether these changes can be served as potential predictors of four-months treatment efficacy.

METHODS

We collected resting-state functional magnetic resonance imaging (rs-fMRI) data from 57 OCD patients and 50 healthy subjects at baseline. In the patient group, rs-fMRI was also obtained after completion of an 8-week CBT treatment and 4 months post-treatment. A whole-brain rsFC analysis was conducted using the amygdala subregion as the seed point. We analyzed the FC patterns in relation to 4 months clinical outcomes to elucidate the long-term efficacy of CBT in OCD patients.

RESULTS

Treatment responseat at pre-treatment was found to be associated with reduced rsFC between the left basolateral amygdala(BLA)and left superior temporal gyrus(STG) at baseline. Lower pre-treatment FC were negatively correlated with the severity of OCD symptoms as measured by the Yale-Brown Obsessive Compulsive Severity Scale (Y-BOCS). Moreover, the area under the receiver operating characteristic (ROC) curve for the FC between the left BLA and STG at the end of treatment was 73.0% and 70.4% for the effective-ineffective and remitted or unremitted groups, respectively. At the 4-month follow-up, the area under the ROC curve for the effective-ineffective and remitted or unremitted groups was 83.9% and 76.5%, respectively.

CONCLUSION

These findings suggest that brain functional activity in patients with OCD can predict treatment response to CBT, and longitudinal changes in relevant brain functional activity following CBT treatment are associated with treatment response in OCD.

Type I interferons, inflammation, and fatigue in a longitudinal RNA study of women with breast cancer

BACKGROUND

Fatigue is a common side effect of cancer and its treatment and is thought to be driven in part by activation of the proinflammatory cytokine network. However, the cellular and molecular underpinnings of cancer-related fatigue (CRF) have not been determined, nor have immune pathways beyond inflammation been carefully investigated. The goal of this study was to examine the association between CRF and activation of canonical proinflammatory gene regulation pathways and Type I interferon (IFN) signaling pathways in breast cancer patients during and after treatment.

METHODS

Women diagnosed with early-stage breast cancer (n = 181) completed assessments before and after treatment with radiation and/or chemotherapy and at 6, 12, and 18-month post-treatment follow-ups. Assessments included self-reported fatigue (Multidimensional Fatigue Symptom Inventory - Short Form) and expression of pre-specified sets of Type I IFN and pro-inflammatory immune response genes determined from mRNA sequencing of PBMCs. Mixed effect linear models examined changes in fatigue and immune gene expression over time and tested the hypothesis that fatigue would be associated with increased expression of Type I IFN and inflammatory response genes.

RESULTS

There were significant changes in fatigue and immune gene expression across the assessment period; all measures increased from pre- to post-treatment but showed diverging patterns over the follow-up, with declines in fatigue and persistent elevations in Type I IFN and proinflammatory gene expression. In mixed effect linear models, expression of Type I IFN response genes was elevated in association with fatigue across the assessment period, from pre-treatment to 18-month follow-up. In contrast, pro-inflammatory gene expression was associated with fatigue only at 6, 12, and 18-month follow-ups. Analyses controlling for changes in leukocyte subsets continued to show a significant association between fatigue and Type I IFN gene expression but reduced the time-dependent association with pro-inflammatory gene expression to non-significant.

CONCLUSIONS

Results revealed unexpected complexity in the immune underpinnings of CRF and identify a novel role for IFN signaling as a robust contributor to this symptom before, during, and after treatment. Pro-inflammatory gene expression emerged as a predictor of fatigue later in the cancer trajectory, and that effect was primarily accounted for by a concurrent increase in monocyte prevalence.

The Unspeakable Nature of Death & Dying During Childhood: A Silenced Phenomenon in Pediatric Care

In pediatric settings, the concept of hope is frequently positioned as a fundamental aspect of care and at odds with the possibility and proximity of death. This arguably fosters silence about death and dying in childhood despite evidence indicating the benefits of open communication at the end of life. In this paper, we describe the unspeakable nature of death and dying in childhood, including its conceptual and clinical causes and dimensions, its persistence, and the associated challenges for children and youth facing critical illnesses, their families, and society. We explore how the tension between hope and death can be reframed and apply our analysis to the context of medical assistance in dying for mature minors in Canada. Considering the lack of related literature, this paper offers initial reflections to form a framework for the unspeakable nature of death and dying in childhood and to advance the crucial need for research.

Lower odds of successful community discharge after medical hospitalization for Veterans with schizophrenia: A retrospective cohort study of national data

Medical comorbidity, particularly cardiovascular diseases, contributes to high rates of hospital admission and early mortality in people with schizophrenia. The 30 days following hospital discharge represents a critical period for mitigating adverse outcomes. This study examined the odds of successful community discharge among Veterans with schizophrenia compared to those with major affective disorders and those without serious mental illness (SMI) after a heart failure hospital admission. Data for Veterans hospitalized for heart failure were obtained from the Veterans Health Administration (VHA) and Centers for Medicare & Medicaid Services between 2011 and 2019. Psychiatric diagnoses and medical comorbidities were assessed in the year prior to hospitalization. Successful community discharge was defined as remaining in the community without hospital readmission, death, or hospice for 30 days after hospital discharge. Logistic regression analyses adjusting for relevant factors were used to examine whether individuals with a schizophrenia diagnosis showed lower odds of successful community discharge versus both comparison groups. Out of 309,750 total Veterans in the sample, 7377 (2.4%) had schizophrenia or schizoaffective disorder and 32,472 (10.5%) had major affective disorders (bipolar disorder or recurrent major depressive disorder). Results from adjusted logistic regression analyses demonstrated significantly lower odds of successful community discharge for Veterans with schizophrenia compared to the non-SMI (Odds Ratio [OR]: 0.63; 95% Confidence Interval [CI]: 0.60, 0.66) and major affective disorders (OR: 0.65, 95%; CI: 0.62, 0.69) groups. Intervention efforts should target the transition from hospital to home in the subgroup of Veterans with schizophrenia.

The utility of measuring daily hassles and uplifts in understanding outcomes to treatments for major depressive disorder

Little is known about the effects of common daily experiences in patients with major depressive disorder (MDD). The Daily Hassles and Uplifts Scale (HUPS) was assessed in 142 treatment-naïve adult MDD outpatients randomized to 12 weeks of treatment with either antidepressant medication (ADM) or Cognitive Behavior Therapy (CBT). Three HUPS measures were analyzed: hassle frequency (HF), uplift frequency (UF), and the mean hassle intensity to mean uplift intensity ratio (MHI:MUI). Remission after treatment was not predicted by these baseline HUPS measures and did not moderate outcomes by treatment type. In contrast, HUPS measures significantly changed with treatment and were impacted by remission status. Specifically, HF and MHI:MUI decreased and UF increased from baseline to week 12, with remission leading to significantly greater decreases in HF and MHI:MUI compared to non-remission. ADM-treated patients demonstrated significant improvements on all three HUPS measures regardless of remission status. In contrast, remitters to CBT demonstrated significant improvements in HF and MHI:MUI but not UF; among CBT non-remitters the only significant change was a reduction in HF. The changes in HUPS measures are consistent with how affective biases are impacted by treatments and support the potential value of increasing attention to positive events in CBT.

Prevalence and factors associated with depression and anxiety among young school-going adolescents in the Western Cape Province of South Africa

INTRODUCTION

Between 10 and 20% of children and adolescents globally experience common mental health conditions such as depression or anxiety. Given the dearth of mental health services in low- and middle-income countries, most mental health conditions among adolescents remain undiagnosed and untreated. In South Africa, few studies have explored the prevalence of depression and anxiety among young adolescents aged 10-14 years. This study examined the prevalence of, and factors associated with depression and anxiety among young school-going adolescents in the Western Cape Province of South Africa.

METHODS

A cross-sectional study was conducted in 10 schools in the Western Cape Province from February to July 2022. Data were collected using a tablet-based survey and included sociodemographic items, the Generalized Anxiety Disorder 7-item scale (GAD-7), the Patient Health Questionnaire for Adolescents (PHQ-A) and other psychosocial measures. The prevalence of depression and anxiety was estimated based on cut-off scores for the GAD-7 and PHQ-A. Multivariable logistic regression models were used to investigate the associations between sociodemographic and psychosocial factors, and depression and anxiety.

RESULTS

Of the 621 adolescents, 33.5% (n = 208) reported experiencing symptoms of depression and 20.9% (n = 130) symptoms of anxiety potentially indicative of a diagnosis. The results of the multivariable logistic regression model indicate that being in a higher grade in school (AOR = 1.65, CI:1.43-1.92), any lifetime alcohol use (AOR = 1.62, CI:1.04-2.64), other drug use (AOR = 2.07, CI:1.06-4.04), and witnessing violence among adults at home (AOR = 2.12, CI:1.07-1.41) were significantly associated with experiencing depressive symptoms. Being in a higher grade in school (AOR = 1.69, CI: 1.42-2.01), poor emotional regulation skills (AOR = 1.03, CI: 1.00-1.07), and the use of cannabis (AOR = 1.03, CI: 1.00-1.07) were significantly associated with experiencing anxiety symptoms.

CONCLUSION

These findings add to our understanding of school-going adolescents' pressing mental health needs and suggest that mental health adolescent and caregiver interventions may be required to address mental health symptoms and associated risk factors.

Affective dysfunction mediates the link between neuroimmune markers and the default mode network functional connectivity, and the somatic symptoms in somatic symptom disorder

OBJECTIVE

Somatic symptom disorder (SSD) is characterized by physical symptoms and associated functional impairments that are often comorbid with depression and anxiety disorders. In this study, we explored relationships between affective symptoms and the functional connectivity of the default mode network (DMN) in SSD patients, as well as the impact of peripheral inflammation. We employed mediation analyses to investigate the potential pathways between these factors.

METHODS

We recruited a total of 119 individuals (74 unmedicated SSD patients and 45 healthy controls), who were subjected to comprehensive psychiatric and clinical evaluations, blood tests, and resting-state functional magnetic resonance imaging scanning. We assessed neuroimmune markers (interleukin-6 (IL-6), high-sensitivity C-reactive protein (hs-CRP), tumor necrosis factor-α (TNF-α), tryptophan, serotonin, and 5-hydroxyindoleacetic acid (5-HIAA)), clinical indicators of somatic symptoms, depression, anxiety, anger, alexithymia, and functional connectivity (FC) within the DMN regions. Data were analyzed using correlation and mediation analysis, with a focus on exploring potential relations between clinical symptoms, blood indices, and DMN FCs.

RESULTS

Patients with SSD had higher clinical scores as well as IL-6 and TNF-α levels compared with those in the control group (P < 0.05). The SSD group exhibited lower FC strength between the left inferior parietal lobule and left prefrontal cortex (Pfalse discovery rate (FDR) < 0.05). Exploratory correlation analysis revealed that somatic symptom scores were positively correlated with affective symptom scores, negatively correlated with the FC strength between the intra prefrontal cortex regions, and correlated with levels of IL-6, TNF- α, and tryptophan (uncorrected P < 0.01). Mediation analysis showed that levels of anxiety and trait anger significantly mediated the relations between DMN FC strength and somatic symptoms. In addition, the DMN FC mediated the level of trait anger with respect to somatic symptoms (all PFDR < 0.05). The levels of depression and trait anger exhibited significant mediating effects as suppressors of the relations between the level of 5-HIAA and somatic symptom score (all PFDR < 0.05). Further, the level of 5-HIAA had a mediating effect as a suppressor on the relation between DMN FC and state anger. Meanwhile, the levels of hs-CRP and IL-6 had full mediating effects as suppressors when explaining the relations of DMN FC strengths with the level of depression (all PFDR < 0.05). The patterns of valid mediation pathways were different in the control group.

CONCLUSIONS

Affective symptoms may indirectly mediate the associations between DMN connectivity, somatic symptoms, and neuroimmune markers. Inflammatory markers may also mediate the impact of DMN connectivity on affective symptoms. These results emphasize the importance of affective dysregulation in understanding the mechanisms of SSD and have potential implications for the development of tailored therapeutic approaches for SSD patients with affective symptoms. Furthermore, in SSD research using DMN FC or neuroimmune markers, considering and incorporating such mediating effects of affective symptoms suggests the possibility of more accurate prediction and explanation.

The risk and development of work disability among individuals with gambling disorder: a longitudinal case-cohort study in Sweden

BACKGROUND

This longitudinal register study aimed to investigate the association between gambling disorder (GD) and work disability and to map work disability in subgroups of individuals with GD, three years before and three years after diagnosis.

METHODS

We included individuals aged 19-62 with GD between 2005 and 2018 (n = 2830; 71.1% men, mean age: 35.1) and a matched comparison cohort (n = 28 300). Work disability was operationalized as the aggregated net days of sickness absence and disability pension. Generalized estimating equation models were used to calculate adjusted odds ratios (AORs) and 95% confidence intervals (CIs) for the risk of long-term work disability (>90 days of work disability/year). Secondly, we conducted Group-based Trajectory Models on days of work disability.

RESULTS

Individuals with GD showed a four-year increased risk of long-term work disability compared to the matched cohort, peaking at the time of diagnosis (AOR = 1.89; CI 1.67-2.13). Four trajectory groups of work disability days were identified: constant low (60.3%, 5.6-11.2 days), low and increasing (11.4%, 11.8-152.5 days), medium-high and decreasing (11.1%, 65.1-110 days), and constant high (17.1%, 264-331 days). Individuals who were females, older, with prior psychiatric diagnosis, and had been dispensed a psychotropic medication, particularly antidepressants, were more likely to be assigned to groups other than the constant low.

CONCLUSION

Individuals with GD have an increased risk of work disability which may add financial and social pressure and is an additional incentive for earlier detection and prevention of GD.

Awareness of Narrative Identity Questionnaire (ANIQ) in Early Adolescents: Psychometric Evaluation and Association with Features of Personality Disorder

Identity formation is central to adolescent development. Challenges in establishing a stable sense of self is associated with maladaptive identity function, which has been recognized as a core feature of personality pathology. The narrative identity framework offers a unique lens to garner salient information about one's sense of self. The Awareness of Narrative Identity Questionnaire (ANIQ) is a self-report measure of narrative identity validated in adults but is yet to be validated in adolescents. The current study aimed to conduct the first psychometric evaluation of the ANIQ in a sample of 205 youth aged 10-14 years (M = 12.1 ± 1.06 years; 50.7% female; 73.7% Hispanic) recruited from a public charter school. Results confirmed the four-factor structure of the ANIQ and showed high internal consistency. Convergent validity was supported through negative associations between the ANIQ and borderline personality features and identity diffusion. Incremental validity of the ANIQ over identity diffusion in predicting borderline personality features was also examined, but not supported. Overall, results support the ANIQ as a promising instrument for the assessment of narrative identity in youth. However, some improvements to the ANIQ might be necessary in order to use it as a clinical tool in identifying youth with personality pathology.

Intranasal delivery of paroxetine: A preclinical study on pharmacokinetics, depressive-like behaviour, and neurochemical sex differences

Treatment of major depressive disorder remains a major unmet clinical need. Given the advantages of intranasal administration for targeted brain delivery, the present study aimed at investigating the pharmacokinetics of paroxetine, after its intranasal instillation and assessing its potential therapeutic effect on female and male mice subjected to unpredictable chronic mild stress (UCMS) protocol. IN administration revealed direct nose-to-brain paroxetine delivery but dose- and sex-dependent differences. Pharmacokinetics was nonlinear and paroxetine concentrations were consistently higher in plasma and brain of male mice. Additionally, UCMS decreased animal preference for sucrose in both male and female mice following acute (p < 0.01) and chronic stress (p < 0.05), suggesting anhedonia. Both male and female mice exhibited depressive-like behavior in the forced swimming test. UCMS females displayed a significantly longer immobility time and shorter climbing time than the control group (p < 0.05), while no differences were found between male mice. Two weeks of paroxetine intranasal administration reduced immobility time and lengthened climbing and swimming time, approaching values similar to those observed in the healthy control group. The therapeutic effect was stronger on female mice. Importantly, melatonin plasma levels were significantly decreased in female mice following UCMS (p < 0.05), while males exhibited heightened corticosterone levels. On the other hand, treatment with IN paroxetine significantly increased corticosterone and melatonin levels in both sexes compared to healthy mice (p < 0.05). Intranasal paroxetine delivery undoubtedly ameliorated the behavioral despair, characteristic of depressive-like animals. Despite its efficiency in male and female mice subjected to UCMS, females were more prone to this novel therapeutic strategy.

Disentangling genetic and environmental influences on early language development: The interplay of genetic propensity for negative emotionality and surgency, and parenting behavior effects on early language skills in an adoption study

Parenting and children's temperament are important influences on language development. However, temperament may reflect prior parenting, and parenting effects may reflect genes common to parents and children. In 561 U.S. adoptees (57% male) and their birth and rearing parents (70% and 92% White, 13% and 4% African American, and 7% and 2% Latinx, respectively), this study demonstrated how genetic propensity for temperament affects language development, and how this relates to parenting. Genetic propensity for negative emotionality inversely predicted language at 27 months (β = -.15) and evoked greater maternal warmth (β = .12), whereas propensity for surgency positively predicted language at 4.5 years (β = .20), especially when warmth was low. Parental warmth (β = .15) and sensitivity (β = .19) further contributed to language development, controlling for common gene effects.

Global, regional, and national incidence trends of depressive disorder, 1990-2019: An age-period-cohort analysis based on the Global Burden of Disease 2019 study

BACKGROUND

Depressive disorder is a severe global public health problem. It is crucial to evaluate the global incidence trends of depressive disorder.

METHODS

The incidence data were drawn from the Global Burden of Disease Study (GBD) 2019. Estimates were presented by global and sociodemographic index (SDI) quintiles, and the age-period-cohort (APC) model was used to estimate the incidence trends.

RESULTS

APC analysis indicated a decline in depressive disorder incidence globally (net drift = -0.24%, 95%CI: -0.29, -0.18), except for an increase in SDI regions (net drift = 0.07, 95%CI:0, 0.14). In high SDI regions, depressive disorder incidence increased among the younger and declined among the elder population, whereas the opposite trend was observed in middle and low-middle SDI regions. The depressive disorder incidence increased significantly among people aged 15 to 24 years after adjusting for age effects, decreased since 2000 after adjusting for period effects and increased rapidly in the birth cohort after 1990 in high SDI by adjusting for cohort effects.

CONCLUSION

Globally, there was a declining trend of depressive disorder incidence in 1990-2019. Specifically, the incidence was declining globally in younger populations, while increasing in older populations. However, this trend differed depending on the SDI of the region.

What do we need in order to successfully treat persons with pathological narcissism? How does change happen? Treatment principles and mechanisms of change emerging from single cases treated by experts: A commentary

Persons with pathological narcissism (PN) or narcissistic personality disorder present with a wide array of symptoms and social problems. They need effective psychotherapies but empirical evidence for what works with them is mostly lacking. In this issue of the Journal and Clinical Psychology: In Session four authors from different orientations described single cases of patients suffering from different manifestations of PN. In this commentary we reviewed in detail the four cases and tried to distill (a) the treatment principles adopted; (b) the actual mechanisms of therapeutic change. We hope that the list of principles and mechanisms and change we identified here can help both clinicians and researchers develop and test effective options for persons with PN who are difficult to treat but do have chances to change in a meaningful way in treatment.

Employing graph attention networks to decode psycho-metabolic interactions in Schizophrenia

Schizophrenia is a severe mental disorder characterized by intricate and underexplored interactions between psychological symptoms and metabolic health, presenting challenges in understanding the disease mechanisms and designing effective treatment strategies. To delve deeply into the complex interactions between mental and metabolic health in patients with schizophrenia, this study constructed a psycho-metabolic interaction network and optimized the Graph Attention Network (GAT). This approach reveals complex data patterns that traditional statistical analyses fail to capture. The results show that weight management and medication management play a central role in the interplay between psychiatric disorders and metabolic health. Furthermore, additional analysis revealed significant correlations between the history of psychiatric symptoms and physical health indicators, as well as the key roles of biochemical markers(e.g., triglycerides and low-density lipoprotein cholesterol), which have not been sufficiently emphasized in previous studies. This highlights the importance of medication management approaches, weight management, psychological treatment, and biomarker monitoring in comprehensive treatment and underscores the significance of the biopsychosocial model. This study is the first to utilize a GNN to explore the interactions between schizophrenia symptoms and metabolic features, providing new insights into understanding psychiatric disorders and guiding the development of more comprehensive treatment strategies for schizophrenia.

Characterizing the hierarchical depression phenotype in sexually diverse individuals

INTRODUCTION

Sexual diverse individuals are at high risk for internalizing psychopathologies, such as depression. Understanding how symptom profiles of heterogeneous psychiatric disorders such as depression differ for sexually diverse vs. heterosexual individuals is thus critical to advance precision psychiatry and maximize our ability to effectively treat members of this population. Research has failed to consider the possibility of hierarchical phenotypes, wherein sexual orientation status may be uniquely and simultaneously associated with both depression broadly and with individual symptoms.

METHOD

To address these issues, we conducted a moderated nonlinear factor analysis in Wave IV of the Add Health study, using sexual diversity status as a predictor of (a) latent depression, (b) factor loadings, and (c) individual symptoms, with and without controlling for race.

RESULTS

Sexual diversity status was positively and simultaneously associated with latent depression, concentration difficulties, and happiness.

DISCUSSION

These findings suggest that sexually diverse populations not only face greater depression, broadly defined, but are disproportionately more likely to experience concentration difficulties and be happier compared to heterosexual counterparts. Methodologically, these models indicate that the CES-D is scalar noninvariant as a function of sexual diversity status (i.e., identical scores on the CES-D may represent different manifestations of depression for sexually diverse and heterosexual participants). Studies examining disparities in depression across heterosexual and sexually diverse samples should thus consider depression broadly as well as specific symptoms. Further, it is critical to examine whether these relations function via different mechanisms.

Maternal Psychological Symptom Trajectories From 2 to 24 Months Postpartum: A Latent Class Growth Analysis

BACKGROUND

Postpartum women experience an array of psychological symptoms that are associated with adverse health behaviors and outcomes including postpartum suicidal ideation and long-term depression. To provide early management of postpartum psychological symptoms, it is important to understand how the symptom experiences change over time.

OBJECTIVE

The aim of this study was to examine maternal psychological symptom trajectories over 2, 6, 15, and 24 months postpartum using latent class growth analysis and to examine how each trajectory is associated with maternal depression outcome at 24 months.

METHODS

We used secondary data from the Family Life Project ( N = 1,122) and performed multitrajectory latent class growth analysis based on four observed symptom variables (depression, anxiety, somatization, and hostility). After the final model was identified, bivariate analyses were conducted to examine the association between each trajectory and (a) individual characteristics and (b) outcome (Center for Epidemiologic Studies Depression Scale [CES-D]) variables.

RESULTS

A four-class model was selected for the final model because it had better fit indices, entropy, and interpretability. The four symptom trajectories were (a) no symptoms over 24 months, (b) low symptoms over 24 months, (c) moderate symptoms increasing over 15 months, and (d) high symptoms increasing over 24 months. More postpartum women with the trajectory of high symptoms increasing over 24 months (Trajectory 4) were in low economic status (92.16%), unemployed (68.63%), or did not complete 4-year college education (98.04%). Most postpartum women (95.56%) in Trajectory 4 also had higher CES-D cutoff scores, indicating a possible clinical depression at 24 months postpartum.

DISCUSSION

Postpartum women who experience increasing symptom trajectories over 15-24 months (Trajectories 3 and 4) could benefit from tailored symptom management interventions provided earlier in the postpartum period to prevent persistent and worsening symptom experiences.

Contributions of preschool behavioral self-regulation and social skills to growth in different domains of early math knowledge

The current study explored the relative contribution of individual differences in children's behavioral self-regulation and social skills (often referred to as learning-related skills) in the fall of preschool to children's rate of growth in different domains of early math knowledge through the spring of kindergarten. Participants were 684 children (Mage = 57.6 months, SD = 3.8, at Time 1 [fall of preschool]; 48% female; 43% Black, 32% White, 13% Latine, 11% multiracial, and 1% Asian). All children were from families with low incomes and lived in the midwestern United States. The math domains of informal numeracy, formal numeracy, and math language were assessed at four time points: fall and spring of preschool and fall and spring of kindergarten. Contrary to expectations, we did not find that either learning-related skill positively predicted rate of growth in math knowledge or observe differential relations by math domain. Rather, the relative contribution of behavioral self-regulation and social skills in the fall of preschool to rate of growth in math knowledge followed similar patterns across all math domains: an early advantage for children with higher initial social skills that stayed consistent over time (i.e., a nonsignificant slope effect) and an early advantage for children with higher initial behavioral self-regulation that diminished over time (i.e., a negative slope effect).

Evaluation of the multiple-deficit hypothesis among dyslexic Arabic-speaking children

This study examined the multiple-deficit hypothesis among Arabic-speaking elementary school students. A total of 90 students, divided into three main groups based on their performance on an Arabic word-reading task: dyslexic (n = 30), regular age-matched (n = 30), and 3rd-grade regular students, who were matched to the dyslexic group in regard to their reading proficiency level (n = 30). Participants underwent a nine-domain Arabic reading experiment that measured accuracy and fluency to evaluate general reading proficiency. The performance of Arabic dyslexic students was significantly worse than age-matched controls, but similar to young matched controls based on the reading level of each cognitive task. Moreover, dyslexic students showed deficits in three or more cognitive functions, depending on severity. This study adds to the limited empirical research on the double-deficit hypothesis and its extension to the multiple-domain model among young Arabic students.

Prediction of suicidal ideation among preadolescent children with machine learning models: A longitudinal study

BACKGROUND

Machine learning (ML) has been widely used to predict suicidal ideation (SI) in adolescents and adults. Nevertheless, studies of accurate and efficient models of SI prediction with preadolescent children are still needed because SI is surprisingly prevalent during the transition into adolescence. This study aimed to explore the potential of ML models to predict SI among preadolescent children.

METHODS

A total of 4691 Chinese children (54.89 % boys, Mage = 10.92 at baseline) and their parents completed relevant measures at baseline and the children provided 6-month follow-up data for SI. The current study compared four ML models: Random Forest (RF), Decision Tree (DT), Support Vector Machine (SVM), and Multilayer Perceptron (MLP), to predict SI and to identify variables with predictive value based on the best-performing model among Chinese preadolescent children.

RESULTS

The RF model achieved the highest discriminant performance with an AUC of 0.92, accuracy of 0.93 (balanced accuracy = 0.88). The factors of internalizing problems, externalizing problems, neuroticism, childhood maltreatment, and subjective well-being in school demonstrated the highest values in predicting SI.

CONCLUSION

The findings of this study suggested that ML models based on the observation and assessment of children's general characteristics and experiences in everyday life can serve as convenient screening and evaluation tools for suicide risk assessment among Chinese preadolescent children. The findings also provide insights for early intervention.

Staging models in eating disorders: A systematic scoping review of the literature

Eating Disorders (ED) are characterized by low remission rates, treatment drop-out, and residual symptoms. To improve assessment and treatment of ED, the staging approach has been proposed. This systematic scoping review is aimed at mapping the existing staging models that explicitly propose stages of the progression of ED. A systematic search of PubMed, PsycINFO, Scopus was conducted with the terms staging, anorexia nervosa, bulimia nervosa, binge-eating disorders, eating disorders. Eleven studies met inclusion criteria presenting nine ED staging models, mostly for anorexia nervosa. Three were empirically tested, one of which was through an objective measure specifically developed to differentiate between stages. Most staging models featured early stages in which the exacerbation of EDs unfolds and acute phases are followed by chronic stages. Intermediate stages were not limited to acute stages, but also residual phases, remission, relapse, and recovery. The criteria for stage differentiation encompassed behavioral, psychological, cognitive, and physical features including body mass index and illness duration. One study recommended stage-oriented interventions. The current review underscores the need to empirically test the available staging models and to develop and test new proposals of staging models for other ED populations. The inclusion of criteria based on medical features and biomarkers is recommended. Staging models can potentially guide assessment and interventions in daily clinical settings.

Fatigue, depression, and sleep disorders are more prevalent in patients with metabolic-associated fatty liver diseases

AIM

To determine the prevalence and risk factors for depression, sleep disturbances, and exhaustion in MAFLD patients.

METHODS

Two hundred twenty-four consecutive patients with MAFLD attending the outpatient clinic from April to October 2023; were subjected to clinical evaluation, laboratory testing including non-invasive laboratory markers, fibroscan (measuring steatosis and fibrosis), and different quantitative and qualitative fatigue scores. A control group including 342 patients without MAFLD was taken.

RESULTS

The prevalence of fatigue, depression, and sleeping disorders in the MAFLD group was 67.8%, 75%, 62.5% vs 21%, 16.4%, and 19.5% in the control group respectively ( P = <0.001, P = <0.001 and P = <0.001). MAFLD with fatigue was significantly associated with the presence and severity of steatosis and fibrosis by fibroscan ( P = <0.0001). By univariate and multivariate analysis: age, BMI, waist circumference, T2DM, hypertension, steatosis, fibrosis, and Fib-4 were considered risk factors for fatigue in the MAFLD group. The age, high social level, diabetes, hypertension, steatosis, fibrosis, and fib-4 were considered, by univariate and multivariate analysis, independent risk factors for depression in the MAFLD group. age, BMI, waist circumference, diabetes, hypertension, steatosis, fibrosis, and fib-4 were independent risk factors for sleep disorders in MAFLD.

CONCLUSION

Fatigue, sleeping disorders, and depression are more prevalent in MAFLD patients than in the general population. The lower health utility scores in patients with MAFLD are associated with more advanced stages of the disease.

A gut (microbiome) feeling about addiction: Interactions with stress and social systems

In recent years, an increasing attention has given to the intricate and diverse connection of microorganisms residing in our gut and their impact on brain health and central nervous system disease. There has been a shift in mindset to understand that drug addiction is not merely a condition that affects the brain, it is now being recognized as a disorder that also involves external factors such as the intestinal microbiota, which could influence vulnerability and the development of addictive behaviors. Furthermore, stress and social interactions, which are closely linked to the intestinal microbiota, are powerful modulators of addiction. This review delves into the mechanisms through which the microbiota-stress-immune axis may shape drug addiction and social behaviors. This work integrates preclinical and clinical evidence that demonstrate the bidirectional communication between stress, social behaviors, substance use disorders and the gut microbiota, suggesting that gut microbes might modulate social stress having a significance in drug addiction.

Momentary Emotion Regulation Strategies and Pain Experience Among Adults With Chronic Pain: An Ecological Momentary Assessment Study

OBJECTIVES

The intention of this study was to characterize the real-time momentary relationship between emotion regulation strategies and the pain experience (ie intensity, interference, and negative affect) among adults with chronic pain. Chronic pain is a significant public health concern. Psychological treatments are effective for treating chronic pain, but long-term follow-up studies are limited, and treatment effect sizes are small. Identifying modifiable treatment targets, such as emotion regulation (ER), is critical to improve interventions. ER (ie, cognitive and attentional strategies to modulate or maintain emotional experience) has been linked to psychopathology and pain experience in adults. Yet, the existing work is limited and has largely focused on the relationship between emotional experience, not ER, and pain.

MATERIALS AND METHODS

The current study utilized ecological momentary assessment 53 adults with chronic pain. Participants completed ecological momentary assessments of pain experience and ER strategies 5 times a day for 7 days. Associations by specific strategy type were also examined, highlighting the importance of worry, experiential avoidance, rumination, and expressive suppression in pain experience.

RESULTS

Results of the current study provide evidence for the association between within-person maladaptive ER strategies and pain intensity ( b = 2.11, SE = 0.37, P < 0.001), pain interference ( b = 1.25, SE = 0.40, P = 0.002), and pain-related negative affect ( b = 2.20, SE = 0.41, P < 0.001). (77.4% females; M age = 27.10 y, SD = 5.16 y).

DISCUSSION

Given that ER is readily targeted in psychological treatments for chronic pain, the results from the current study provide initial evidence to target these ER strategies in treatment.