Investigating the neurodevelopmental correlates of early adolescent-onset emotional problems

BACKGROUND

Emotional problems (EPs) increase sharply after mid-adolescence. Earlier EPs are associated with poorer long-term outcomes, and their underlying mechanisms may differ to later-onset EPs. Given an established relationship between ADHD, autism, and later depression, we aimed to examine associations between neurodevelopmental conditions and correlates and early adolescent-onset EPs.

METHODS

Adolescents in two UK population cohorts, Avon Longitudinal Study of Parents and Children (ALSPAC) and Millennium Cohort Study (MCS), were included. Individuals scoring >6 on the Strengths and Difficulties Questionnaire (SDQ) emotional problems subscale between ages 11-14 were defined as having early adolescent-onset EP, whilst those scoring >6 for the first time at 16-25 were defined as having later-onset EP. We tested associations between early adolescent-onset EP (total cases = 887, controls = 19,582) and ICD-10/DSM-5 neurodevelopmental conditions and known correlates, including: sex, birth complications, low cognitive ability, special educational needs (SEND), and epilepsy. Analyses were conducted separately in ALSPAC and MCS then meta-analysed.

RESULTS

In the meta-analysis of both cohorts, early adolescent-onset EPs were associated with female sex and greater likelihood of low cognitive ability, SEND, autism, ADHD, and reading difficulties. Compared to later-onset EP, early adolescent-onset EPs were associated with male sex, low cognitive ability, SEND, epilepsy, ASD, ADHD, and reading difficulties.

LIMITATIONS

A clinical definition of depression/anxiety was available only in ALSPAC, instead we primarily defined EP via questionnaires, which capture a broader phenotype.

CONCLUSIONS

Individuals with early adolescent-onset EP are likely to have a co-occurring neurodevelopmental condition. Clinicians should consider assessing for neurodevelopmental conditions in young adolescents with EPs.

Spatio-temporal learning and explaining for dynamic functional connectivity analysis: Application to depression

BACKGROUND

Functional connectivity has been shown to fluctuate over time. The present study aimed to identifying major depressive disorders (MDD) with dynamic functional connectivity (dFC) from resting-state fMRI data, which would be helpful to produce tools of early depression diagnosis and enhance our understanding of depressive etiology.

METHODS

The resting-state fMRI data of 178 subjects were collected, including 89 MDD and 89 healthy controls. We propose a spatio-temporal learning and explaining framework for dFC analysis. A yet effective spatio-temporal model is developed to classifying MDD from healthy controls with dFCs. The model is a stacking neural network model, which learns network structure information by a multi-layer perceptron based spatial encoder, and learns time-varying patterns by a Transformer based temporal encoder. We propose to explain the spatio-temporal model with a two-stage explanation method of importance feature extracting and disorder-relevant pattern exploring. The layer-wise relevance propagation (LRP) method is introduced to extract the most relevant input features in the model, and the attention mechanism with LRP is applied to extract the important time steps of dFCs. The disorder-relevant functional connections, brain regions, and brain states in the model are further explored and identified.

RESULTS

We achieved the best classification performance in identifying MDD from healthy controls with dFC data. The top important functional connectivity, brain regions, and dynamic states closely related to MDD have been identified.

LIMITATIONS

The data preprocessing may affect the classification performance of the model, and this study needs further validation in a larger patient population.

CONCLUSIONS

The experimental results demonstrate that the proposed spatio-temporal model could effectively classify MDD, and uncover structural and temporal patterns of dFCs in depression.

Gender-specific factors of suicidal ideation among high school students in Yunnan province, China: A machine learning approach

BACKGROUND

Suicidal ideation (SI) assumes a pivotal role in predicting suicidal behaviors. The incidence of SI among high (junior and senior) school students is significantly higher than that of other age groups. The aim of this study is to explore the gender differences in SI among high school students in Yunnan Province.

METHOD

A total of 6180 students in grades 7-12 in Yunnan province, China from May 2021 to May 2022 participated in this survey. Univariate analysis was employed to describe the influencing factors of male and female students' SI. Subsequently, data were stratified by gender. Adopting machine learning technique, including Least Absolute Shrinkage and Selection Operator (Lasso) and Boruta algorithm, and logistic regression model to estimate the direction and effect magnitude of the influencing factors.

RESULTS

The prevalence of SI was significantly higher for females (31.34 %) than males (16.73 %). The logistic regression model was established using the variables screened by Boruta algorithm, indicated that anxiety, depression, suffering emotion abuse or emotion neglect in childhood, non-suicidal self-injury, evening chronotype are common risk factors for SI in male and female students. Notably, female students who exhibited aggressive behavior, have experienced bullying, and were in the junior high school learning stage were more likely to report SI than their male counterparts.

CONCLUSIONS

Females showed more vulnerability to SI than males especially among females in junior high school, reporting aggressive behavior and bullying experiences. Tailored prevention strategies, informed by these gender-related distinctions, should be developed and implemented.

Understanding Major Depressive Disorder in Singapore: Insights from the second Singapore Mental Health Study (SMHS 2016)

BACKGROUND

Major Depressive Disorder (MDD) poses significant public health challenges globally and in Southeast Asia, with substantial impairment and disease burden. Understanding its prevalence and associated risk factors is crucial for effective intervention.

METHODS

This study aims to describe the prevalence shifts, correlates, and comorbidities of MDD in Singapore. Data were collected from the second Singapore Mental Health Study (SMHS 2016), a national cross-sectional survey comprising 6126 adult residents. The WHO Composite International Diagnostic Interview assessed MDD and comorbidities. Statistical analyses, including logistic regression, were conducted to examine the associations and trends.

RESULTS

The lifetime weighted prevalence of MDD in SMHS 2016 was 6.2 %, with an overall increase from 5.8 % in 2010. Significant associations were found between MDD and age, marital status, and comorbid physical disorders. Young adults and divorced/separated individuals exhibited higher MDD prevalence. Chronic pain was significantly associated with MDD.

LIMITATIONS

The study's cross-sectional design limits causal inference, and selective non-response might affect prevalence estimates. However, the study benefits from a large, nationally representative sample and standardized methodologies.

CONCLUSIONS

Young and middle-aged adults, and divorced/separated individuals demonstrate elevated MDD prevalence, warranting targeted interventions. Individuals with comorbidities, particularly chronic pain, constitute a high-risk and vulnerable population. Comprehensive assessment and treatment plans should involve multidisciplinary teams and integrated care approaches to better address the complex needs of these individuals. Our study also highlights specific interventions for schools, families, communities, and workplaces. Despite Singapore's relatively low prevalence compared to Western nations, MDD remains cross-culturally valid emphasizing the need for early intervention and preventive public health measures.

Efficacy of an internet-delivered cognitive enhancement intervention for subjective residual cognitive deficits in remitted major depressive disorder: A randomized crossover trial

BACKGROUND

Cognitive deficits such as difficulties with attention, memory, and executive functions are frequently reported during remission from depression and relates to adverse functioning in daily life and risk of relapse. There is therefore a need for interventions targeting cognitive deficits after depression. However, few randomized controlled trials have investigated the efficacy of interventions targeting subjective residual cognitive deficits in adults remitted from depression.

METHODS

This randomized crossover trial aimed to investigate the efficacy of an internet-delivered cognitive enhancement intervention on subjective residual cognitive deficits. Forty-four formerly depressed adults (89 % female;mean age = 39 years) were included. Twenty-three participants received the intervention, and 21 participants were assigned to a waitlist control group. The waitlist control group received the intervention after seven weeks. Analyses of follow-up assessment after six months were conducted for the combined sample.

RESULTS

Significant differences were found between the intervention and waitlist control group in subjective cognitive functioning (d = 1.83) and rumination (d = 1.65). There was a difference in symptoms of depression between the groups (d = 1.22), whereas symptoms of depression increased in the waitlist control, but not in the intervention group. Fewer participants in the waitlist control group (43 %), compared to the intervention group (78 %) showed reliable improvement in self-reported cognitive deficits after receiving the intervention.

LIMITATIONS

Findings should be interpreted with caution due to the small sample, and lack of an active control group.

CONCLUSIONS

Internet-delivered cognitive enhancement interventions may improve subjective cognitive deficits. Waiting time to receive cognitive enhancement interventions may worsen symptoms and treatment response.

The effects of brain serotonin deficiency on the behavioral and neurogenesis-promoting effects of voluntary exercise in tryptophan hydroxylase 2 (R439H) knock-in mice

Exercise is known to reduce depression and anxiety symptoms. Although the cellular and molecular mechanisms underlying this effect remain unknown, exercise-induced increases in neurotransmitter release and hippocampal neurogenesis have been hypothesized to play key roles. One neurotransmitter that has been implicated in both antidepressant-like effects and the regulation of hippocampal neurogenesis is serotonin (5-HT). Complete loss of function of the brain 5-HT synthesis enzyme (tryptophan hydroxylase 2, Tph2) has been reported to prevent exercise-induced increases in neurogenesis and to block a subset of antidepressant-like responses to selective serotonin reuptake inhibitors (SSRIs), but whether partial loss of Tph2 function blocks the behavioral and neurogenic effects of exercise has not been established. This study used four tests that are predictive of antidepressant efficacy to determine the impact of 5-HT deficiency on responses to exercise in male and female mice. Our results demonstrate that low 5-HT impairs the behavioral effects of exercise in females in the forced swim and novelty-suppressed feeding tests. However, genetic reductions in 5-HT synthesis did not significantly impact exercise-induced alterations in cellular proliferation or immature neuron production in the hippocampus in either sex. These findings highlight the importance of brain 5-HT in mediating behavioral responses to exercise and suggest that individual differences in brain 5-HT synthesis could influence sensitivity to the mental health benefits of exercise. Furthermore, the observed disconnect between neurogenic and behavioral responses to exercise suggests that increased neurogenesis is unlikely to be the primary driver of the behavioral effects of exercise observed here.

Conceptualizing problematic use of medicinal Cannabis: Development and preliminary validation of a brief screening questionnaire

The use of Medicinal Cannabis (MC) for treating chronic pain is increasing, globally, yet the definition of problematic MC use remains unclear. Defining problematic use of cannabis in medical and non-medical contexts may be fundamentally different since individuals prescribed MC often experience physical dependence, which do not necessarily imply pathology. We aimed to conceptualize problematic use of MC and develop a brief questionnaire for identifying and quantifying problematic MC use. Content validation used a broad definition of problematic substance use, adapting and compiling an initial list of 36 items from various sources: (a) screening tools for assessing problematic prescription opioid medication use; (b) screening tools for problematic recreational cannabis use and (c) qualitative interviews with MC patients. 390 American self-identified chronic pain patients holding a MC card rated each item from the initial list on a 5-point frequency scale and filled out questionnaires assessing various clinical outcomes. Following initial item titration, a multi-group measurement invariance comparison strategy, using two external indicators: alcohol-related problems and depression, resulted a final eight-item list that met fit quality in a baseline model, presented excellent internal consistency reliability (α = 0.929), and significantly correlated with anxiety and low quality of life. Items in the final list related predominantly to negative consequences of MC use. Problematic use of MC is characterized by negative physiological, social, emotional and functional consequences. The final eight-item list was named the Medicinal Cannabis Negative Consequences Scale (MCNCS), emerging as a brief measure for problematic MC use and demonstrating preliminary reliability and validity, which could aid clinicians and researchers.

Prefrontal cortex engagement during an fMRI task of emotion regulation as a potential predictor of treatment response in borderline personality disorder

BACKGROUND

Borderline personality disorder (BPD) is a severe mental illness, with high rates of co-morbid depression and suicidality. Despite the importance of optimizing treatment in BPD, little is known about how neural processes relate to individual treatment response. This study examines how baseline regional brain blood oxygen level dependent (BOLD) activation during a functional magnetic resonance imaging (fMRI) task of emotion regulation is related to treatment response following a six-month randomized clinical trial of Dialectical Behavior Therapy (DBT) or Selective Serotonin Reuptake Inhibitor (SSRI) treatment.

METHODS

Unmedicated females with BPD (N = 37), with recent suicidal behavior or self-injury, underwent an fMRI task in which negative personal memories were presented and they were asked to distance (i.e., downregulate their emotional response) or immerse (i.e., experience emotions freely). Patients were then randomized to DBT (N = 16) or SSRI (N = 21) treatment, with baseline and post-treatment depression and BPD severity assessed.

RESULTS

BOLD activity in prefrontal cortex, anterior cingulate, and insula was associated with distancing. Baseline BOLD during distancing in dorsolateral, ventrolateral, and orbital prefrontal cortex (dlPFC, vlPFC, OFC) differentially predicted depression response across treatment groups, with higher activity predicting better response in the SSRI group, and lower activity predicting better response in the DBT group.

LIMITATIONS

All female samples.

DISCUSSION

Findings indicate that greater prefrontal engagement during emotion regulation may predict more antidepressant benefit from SSRIs, whereas lower engagement may predict better response to DBT. These results suggest different mechanisms of action for SSRI and DBT treatment, and this may allow fMRI to guide individualized treatment selection.

Association between depressive duration and cognitive decline in middle-aged and older adults: Evidence from the Health and Retirement Study 2010-2018

BACKGROUND

Depression has been found to be associated with cognitive decline, but whether longer depressive durations lead to more severe cognitive declines has not been investigated. We aimed to estimate the association between depressive duration and cognitive decline in middle-aged and older Americans based on a large-scale representative population study.

METHODS

We included 27,886 participants from the Health and Retirement Study (HRS) in 2010-2018. Four datasets with 2-, 4-, 6-, and 8-year consecutive interviews were further derived which involving persistent depressed and persistent depression-free individuals. Multiple linear regressions were constructed to estimate the effects of each depressive duration on the decline in global cognition, memory and mental status. Meta-regressions were performed to test the linear trends and to explore the heterogeneity between sex, age and baseline cognitive function along with subgroup analyses.

RESULTS

Depressive durations of 2, 4, 6, and 8 years were associated with reductions in global cognitive scores of 0.62 points (95% CI: 0.51-0.73), 0.77 points (95% CI: 0.60-0.94), 0.83 points (95% CI: 0.55-1.10), and 1.09 points (95% CI: 0.63-1.55), respectively, indicating a linear trend (P = 0.016). More pronounced associations were observed in middle-aged adults and females. Similar patterns were found in the associations between depressive duration and two subdomains, i.e., memory and mental health.

LIMITATIONS

This study is essentially a cross-sectional study and therefore cannot provide causal associations.

CONCLUSIONS

Longer depressive durations were linearly related to more severe cognitive declines. Timely intervention for depression targeted middle-aged adults can more effectively alleviate cognition-related burdens.

Gender-specific motivational pathways in ADHD-related inattention and gaming disorder symptoms

Comorbidity between attention-deficit/hyperactivity disorder (ADHD) and gaming disorder (GD) is widely recognized in the literature. Previous research has indicated gender-dependent underlying mechanisms in the development and maintenance of problematic gaming. Motivational research presents an opportunity to provide further insight regarding the nature of this association. Self-report data were collected from videogame players (N = 14,740) using an online survey in collaboration with a popular gaming magazine. The survey included items concerning symptoms of ADHD and GD, motives for gaming, and time spent playing videogames. Structural equation modeling was used to create two parallel mediation models (one for males, one for females), including motives to play games as mediators. This was done to potentially explain psychological drivers of the association between ADHD and GD. Results demonstrated a common pathway from inattention to GD symptom severity through the immersion/escapism motivation for both males (β = 0.068; p < 0.001) and females (β = 0.081; p < 0.05), while the paths from inattention to GD symptom severity through the habit/boredom motive (β = 0.094; p < 0.001) and competition motive (β = 0.021; p < 0.001) were only significant for males. Gamers experiencing symptoms of ADHD, especially inattentive symptoms, are at risk of the occurrence of GD symptoms through videogames becoming a source of maladaptive coping with daily psychological disturbances. Males experiencing inattentive symptoms tend to additionally develop problematic patterns of use through videogame playing, becoming a subjectively meaningless and boredom-reduction-oriented habitual activity or a platform of virtual competition. Unique differences suggest the necessity of different treatment approaches for males and females.

Digital phenotyping of depression during pregnancy using self-report data

BACKGROUND

Depression is a common pregnancy complication yet is often under-detected and, subsequently, undertreated. Data collected through mobile health tools may be used to support the identification of depression symptoms in pregnancy.

METHODS

An observational cohort study of 2062 pregnancies collected self-reports of patient history, mood, pregnancy-specific symptoms, and written language using a prenatal support app. These app inputs were used to model depression risk in subsequent 30- and 60-day periods throughout pregnancy. A selective inference lasso modeling approach examined the individual and additive value of each type of patient-reported app input.

RESULTS

Depression models ranged in predictive power (AUC value of 0.64-0.83), depending on the type of inputs. The most predictive model included personal history, daily mood, and acute pregnancy-related symptoms (e.g., severe vomiting, cramping). Across models, daily mood was the strongest indicator of depression symptoms in the following month. Models that retained natural language inputs typically improved predictive accuracy and offered insight into the lived context associated with experiencing depression.

LIMITATIONS

Our findings are not generalizable beyond a digitally literate patient population that is self-motivated to report data during pregnancy.

CONCLUSIONS

Simple patient reported data, including sparse language, shared directly via digital tools may support earlier depression symptom identification and a more nuanced understanding of depression context.

Common mental health diagnoses arising from or coinciding with menopausal transition and prescribing of SSRIs/SNRIs medications and other psychotropic medications

BACKGROUND

Women with menopausal transition (MT) have an elevated risk of experiencing common mental health diagnoses (CMHD: depression or anxiety). There is no recent data comparing the rate, and treatment, of CMHD between men and women.

METHODS

In this population-based study, incidence rates (IR) per 100 person-years-at-risk (PYAR) for men and women ≥45 years registered with an UK primary care practice between 2010 and 2021 were estimated. Incidence rate ratios (IRR) with 95 % confidence intervals (CIs) of CMHD were estimated using men as a reference. We measured first prescriptions for psychotropic medications received within 12 months after CMHD. For selective serotonin reuptake inhibitors (SSRIs) /selective norepinephrine reuptake inhibitors (SNRIs), we measured the IR of prescribing per 100 PYAR, by 10-year bands. Proportion of SSRIs/SNRIs prescribing was estimated per 100 persons.

RESULTS

Rates of anxiety and depressive disorders were 1.68 and 1.69 per 100 PYAR in women aged 45-54 years-old compared to 0.91 and 1.20 per 100 PYAR in men, with IRR of 1.84 (95 % CI 1.72-1.97) and 1.44 (1.35-1.53) respectively. SSRIs/SNRIs were the most prescribed medication; in 2021, IRs for SSRIs/SNRIs were 13.4 per 100 PYAR in both sexes. In 2021, the proportion of SSRIs/SNRIs prescribing was 50.67 per 100 women and 41.91 per 100 men.

LIMITATIONS

MT is assumed based on women's age as menopause onset is rarely recorded in primary care databases.

CONCLUSIONS

Women ≥45 years experienced more CMHD compared to men, especially 45-54 years-olds, which coincides with MT. The proportion of SSRIs/SNRIs prescribing was higher in women.

Clinical and sociodemographic features of the Texas resilience against depression (T-RAD) study: Findings from the initial cohort

OBJECTIVE

The burden of major depressive disorder is compounded by a limited understanding of its risk factors, the limited efficacy of treatments, and the lack of precision approaches to guide treatment selection. The Texas Resilience Against Depression (T-RAD) study was designed to explore the etiology of depression by collecting comprehensive socio-demographic, clinical, behavioral, neurophysiological/neuroimaging, and biological data from depressed individuals (D2K) and youth at risk for depression (RAD).

METHODS

This report details the baseline sociodemographic, clinical, and functional features from the initial cohort (D2K N = 1040, RAD N = 365).

RESULTS

Of the total T-RAD sample, n = 1078 (76.73 %) attended ≥2 in-person visits, and n = 845 (60.14 %) attended ≥4 in-person visits. Most D2K (84.82 %) had a primary diagnosis of any depressive disorder, with a bipolar disorder diagnosis being prevalent (13.49 %). RAD participants (75.89 %) did not have a psychiatric diagnosis, but other non-depressive diagnoses were present. D2K participants had 9-item Patient Health Questionnaire scores at or near the moderate range (10.58 ± 6.42 > 24 yrs.; 9.73 ± 6.12 10-24 yrs). RAD participants were in the non-depressed range (2.19 ± 2.65). While the age ranges in D2K and RAD differ, the potential to conduct analyses that compare at-risk and depressed youth is a strength of the study. The opportunity to examine the trajectory of depressive symptoms in the D2K cohort over the lifespan is unique.

LIMITATIONS

As a longitudinal study, missing data were common.

CONCLUSION

T-RAD will allow data to be collected from multiple modalities on a clinically well-characterized sample. These data will drive important discoveries on diagnosis, treatment, and prevention of depression.

Psychometric properties of the 23-Item Clinician Administered Dissociative States Scale (CADSS) in a psychological trauma population

OBJECTIVE

Dissociative symptoms are both a pathological consequence of exposure to psychological trauma as well as a side effect of N-methyl-d-aspartate (NMDA) receptor antagonist medications; therefore, accurate and valid assessment of these symptoms is important. The psychometric properties of the 23-item Clinician Administered Dissociative States Scale (CADSS) have been characterized in the ketamine and esketamine literatures. Here, we examine its performance in a sample with and without posttraumatic stress disorder (PTSD) and a history of exposure to psychological trauma.

METHODS

Participants with a history of psychological trauma with (N = 148) and without (N = 100) the diagnosis of PTSD and healthy participants without a psychiatric disorder or history of trauma (N = 28) were assessed with the 23-item CADSS and other psychometric and neuropsychological assessments. Analyses were performed to examine internal consistency, convergent and discriminant validity, factor structure, differential performance in populations reported to be more or less likely to report dissociative symptoms (e.g., patients with and without PTSD), and sensitivity to change resulting from exposure to trauma-related sights and sounds.

RESULTS

The 23-item CADSS was found to have high internal consistency (Cronbach's alpha 0.91) and a single-factor structure. CADSS total scores in trauma-exposed participants with PTSD were higher than those in trauma-exposed participants without PTSD and non-traumatized non-PTSD participants. Finally, veterans with Iraq combat-related PTSD showed a significant increase in CADSS total score after exposure to combat-related slides and sounds.

CONCLUSION

The 23-item CADSS, already validated as a tool to measure dissociation related to administration of NMDA receptor antagonist medication, performs in a reliable and valid manner in the assessment of dissociation in psychologically traumatized participants.

Expose to volatile organic compounds is associated with increased risk of depression: A cross-sectional study

With increasing prevalence rate of depression by years, more attention has been paid to the influence of environmental pollutants on depression, but relationship between exposure to volatile organic compounds (VOCs) and depression is rarely studied. Therefore, this cross-sectional study use the National Center for Health Statistics (NHANES) database (2013-2016 years) to explore association between exposure to multiple VOCs and depression in general population. Multiple linear and logistic regression models were used to analyze the association between urinary VOC metabolism (mVOCs) and depression. To further analyze effect of multiple mVOCs mixed exposure, Bayesian kernel machine regression (BKMR) models were performed. A total of 3240 participants and 16 mVOCs were included in the analysis. Results showed that 10 mVOCs exposure were positively correlated with depression by multiple linear and logistic regression models, especially CYMA and MHBMA3, which also showed significant positive association with depression in BKMR model. Mixed exposure of multiple mVOCs was significantly positively correlated with depression. Gender differences were existed in effects of some VOCs concentrations on depression. AAMA, CYMA and MA had significant positive correlations with depression by women, and DHBMA had significant positive correlations with depression by men. Hence, this study showed that exposing to VOCs might have negative impacts on depression, and impact of CYMA and MHBMA3 on depression may be more evident, which provide new ideas for prevention and control of depression. But further research and exploration are needed to clarify the mechanism and influence factors of this relationship, to demonstrate the reliability of these relationship.

The role of borderline personality disorder traits in predicting longitudinal variability of major depressive symptoms among a sample of depressed adults

BACKGROUND

Major depressive disorder (MDD) and borderline personality disorder (BPD) often co-occur, with 20 % of adults with MDD meeting criteria for BPD. While MDD is typically diagnosed by symptoms persisting for several weeks, research suggests a dynamic pattern of symptom changes occurring over shorter durations. Given the diagnostic focus on affective states in MDD and BPD, with BPD characterized by instability, we expected heightened instability of MDD symptoms among depressed adults with BPD traits. The current study examined whether BPD symptoms predicted instability in depression symptoms, measured by ecological momentary assessments (EMAs).

METHODS

The sample included 207 adults with MDD (76 % White, 82 % women) recruited from across the United States. At the start of the study, participants completed a battery of mental health screens including BPD severity and neuroticism. Participants completed EMAs tracking their depression symptoms three times a day over a 90-day period.

RESULTS

Using self-report scores assessing borderline personality disorder (BPD) traits along with neuroticism scores and sociodemographic data, Bayesian and frequentist linear regression models consistently indicated that BPD severity was not associated with depression symptom change through time.

LIMITATIONS

Diagnostic sensitivity and specificity may be restricted by use of a self-report screening tool for capturing BPD severity. Additionally, this clinical sample of depressed adults lacks a comparison group to determine whether subclinical depressive symptoms present differently among individuals with BPD only.

CONCLUSIONS

The unexpected findings shed light on the interplay between these disorders, emphasizing the need for further research to understand their association.

Childhood maltreatment predicts poor sleep quality in Chinese adults: The influence of coping style tendencies

BACKGROUND

This longitudinal study assessed the prospective link between childhood maltreatment and sleep quality in adulthood, with a specific focus on examining whether different coping style tendencies influence these associations.

METHODS

The baseline sample included 1600 adult participants, with 1140 participants successfully followed up 5 years later. The key variables were measured using the Childhood Trauma Questionnaire (CTQ), Simplified Coping Style Questionnaire (SCSQ), and Pittsburgh Sleep Quality Index (PSQI). Generalized linear mixed models were employed to estimate unstandardized β estimates and 95 % confidence intervals (95%CIs). Structural equation modeling was used to test the mediation model.

RESULTS

Individuals reported childhood maltreatment at baseline were at an increased risk for sleep disturbances at follow-up. Childhood maltreatment negatively predicted the baseline coping style tendency (β = -0.29, P < 0.001), the baseline coping style tendencies negatively predicted the follow-up sleep quality (β = -0.10, P < 0.001), and childhood maltreatment positively predicted the follow-up sleep quality (β = 0.42, P < 0.01). The mediating effect of baseline coping style tendencies between childhood maltreatment and the follow-up sleep quality was significant, with an effect value of 0.03.

LIMITATIONS

First, the sample was from a single province (Shandong), which limits the generalizability of the findings. Second, recall bias was unavoidable in this adult sample study.

CONCLUSIONS

Developing positive coping strategies is an important way to reduce the risk of sleep problems in adults with a history of childhood maltreatment.

Causal association between Neuroticism and risk of aortic aneurysm: A bidirectional two-sample Mendelian randomization study

BACKGROUND

The objective of this study was to analyze the causal relationship between Neuroticism and aortic aneurysm using Mendelian randomization (MR). The study aimed to establish a foundation for the development of effective prevention and treatment strategies.

METHODS

Genetic association data for Neuroticism were obtained from the UK Biobank, which included 393,411 individuals and 11,968,760 single nucleotide polymorphisms (SNPs). Genetic association data for aortic aneurysm were obtained from a genome-wide association study (GWAS), which included 479,194 individuals and 24,191,825 SNPs. Heterogeneity was assessed using the Cochran's Q statistic test. The study also utilized the MR Pleiotropy RESidual Sum and Outlier (Mr-PRESSO) test, as well as the MR-Egger regression method, to examine horizontal pleiotropy and determine the reliability of the findings through the leave-one-out method.

RESULTS

Forward MR analysis showed that the risk of aortic aneurysm was elevated in individuals with genetically predicted Neuroticism compared to those without Neuroticism (OR = 1.1315, 95 % CI: 1.0269-1.2468; P = 0.0126). The Cochran's Q test showed no heterogeneity (P > 0.05), and the MR-PRESSO test did not identify instrumental variables of horizontal pleiotropy (P > 0.05). The MR analysis remained robust after removing SNPs one by one. Inverse MR analysis did not observe an association between aortic aneurysm and having Neuroticism OR = 1.030, 95 % CI: 0.9459-1.118, P = 0.488).

CONCLUSION

Our study has established a clear causal relationship between genetically determined Neuroticism and the development of aortic aneurysms. It is therefore important to intensify screening and prevention efforts for aortic aneurysms in neurotic patients. It also opens new avenues for exploring the disease's pathogenesis.

Computational analysis of linguistic features in speech samples of first-episode bipolar disorder and psychosis

BACKGROUND

In recent years, automated analyses using novel NLP methods have been used to investigate language abnormalities in schizophrenia. In contrast, only a few studies used automated language analyses in bipolar disorder. To our knowledge, no previous research compared automated language characteristics of first-episode psychosis (FEP) and bipolar disorder (FEBD) using NLP methods.

METHODS

Our study included 53 FEP, 40 FEBD and 50 healthy control participants who are native Turkish speakers. Speech samples of the participants in the Thematic Apperception Test (TAT) underwent automated generic and part-of-speech analyses, as well as sentence-level semantic similarity analysis based on SBERT.

RESULTS

Both FEBD and FEP were associated with the use of shorter sentences and increased sentence-level semantic similarity but less semantic alignment with the TAT pictures. FEP also demonstrated reduced verbosity and syntactic complexity. FEP differed from FEBD in reduced verbosity, decreased first-person singular pronouns, fewer conjunctions, increased semantic similarity as well as shorter sentence and word length. The mean classification accuracy was 82.45 % in FEP vs HC, 71.1 % in FEBD vs HC, and 73 % in FEP vs FEBD. After Bonferroni correction, the severity of negative symptoms in FEP was associated with reduced verbal output and increased 5th percentile of semantic similarity.

LIMITATIONS

The main limitation of this study was the cross-sectional nature.

CONCLUSION

Our findings demonstrate that both patient groups showed language abnormalities, which were more severe and widespread in FEP compared to FEBD. Our results suggest that NLP methods reveal transdiagnostic linguistic abnormalities in FEP and FEBD.

Mutual eye gaze and vocal pitch in relation to social anxiety and depression: A virtual interaction task

BACKGROUND

Individuals with high social interaction anxiety (SIA) and depression often behave submissively in social settings. Few studies have simultaneously examined the associations between objectively assessed submissive behaviors and SIA or depression, despite their high comorbidity and unknown mechanisms regarding submissiveness.

METHODS

A sample of 45 young adults self-reported trait SIA and depression, state positive/negative affect (PA/NA) before and after a virtual social interaction. Participants engaged in a four-minute conversation with a confederate who was trained to behave neutrally. Mutual eye gaze, via eye-tracking, and vocal pitch were assessed throughout the interaction.

RESULTS

Depression and SIA were positively correlated with NA, poorer self-rated performance, and vocal pitch. Highly socially anxious women engaged in less mutual eye gaze than highly socially anxious men. Also, vocal pitch was inversely associated with mutual eye gaze and positively related to NA and (nonsignificantly) to self-ratings of poor performance. Finally, our data partially replicated past research on the use of vocal pitch during social stress to detect social anxiety disorder.

LIMITATIONS

The current sample is relatively homogenous in educational attainment, age, and race. All research confederates were women. Future research should examine whether these archival data replicate with the latest telecommunication technologies.

CONCLUSION

Our findings highlight nuanced relationships among SIA, depression, emotions, self-perceptions, and biobehavioral indicators of submissive behavior-in response to an ambiguously negative/positive social interaction. Sex/gender may interact with these effects, emphasizing considerations for research method designs.

Intrinsic disruption of white matter microarchitecture in major depressive disorder: A voxel-based meta analysis of diffusion tensor imaging

BACKGROUND

Major depressive disorder (MDD) is a prevalent and disabling mood disorder, thought to be linked with brain white matter (WM) alterations. Prior diffusion tensor imaging (DTI) studies have reported inconsistent changes in fractional anisotropy (FA) across different brain regions in MDD patients. However, none of these studies utilized raw t-map data for WM meta-analysis in MDD. Our study aims to address this gap by conducting a whole-brain-based meta-analysis of FA in MDD using Seed-based d mapping via permutation of subject images (SDM-PSI), combining reported peak coordinates and raw statistical parametric maps.

OBJECTIVES

Following PRISMA guidelines, we performed a systematic search and meta-analysis to compare FA in MDD patients with healthy controls (HC). Our goal was to identify WM abnormalities in MDD, using SDM, which could shed light on the disorder's pathogenesis.

RESULTS

The meta-analysis included 39 studies with 3696 participants (2094 with MDD, 1602HC). It revealed that MDD patients, in comparison to HC, have lower FA in the corpus callosum (CC) and anterior thalamic projections (ATP). Subgroup analyses indicated that the CC is a more stable pathogenic factor in MDD. Meta-regression analyses showed no linear correlation between the mean age, percentage of female patients, duration of depression, and FA abnormalities. This suggests that WM impairments in interhemispheric connections and anterior thalamocortical circuits are significant in the pathogenesis of MDD.

Abnormalities in static and dynamic intrinsic neural activity and neurotransmitters in first-episode OCD

BACKGROUND

Obsessive-compulsive disorder (OCD) is a disabling disorder in which the temporal variability of regional brain connectivity is not well understood. The aim of this study was to investigate alterations in static and dynamic intrinsic neural activity (INA) in first-episode OCD and whether these changes have the potential to reflect neurotransmitters.

METHODS

A total of 95 first-episode OCD patients and 106 matched healthy controls (HCs) were included in this study. Based on resting-state functional magnetic resonance imaging (rs-fMRI), the static and dynamic local connectivity coherence (calculated by static and dynamic regional homogeneity, sReHo and dReHo) were compared between the two groups. Furthermore, correlations between abnormal INA and PET- and SPECT-derived maps were performed to examine specific neurotransmitter system changes underlying INA abnormalities in OCD.

RESULTS

Compared with HCs, OCD showed decreased sReHo and dReHo values in left superior, middle temporal gyrus (STG/MTG), left Heschl gyrus (HES), left putamen, left insula, bilateral paracentral lobular (PCL), right postcentral gyrus (PoCG), right precentral gyrus (PreCG), left precuneus and right supplementary motor area (SMA). Decreased dReHo values were also found in left PoCG, left PreCG, left SMA and left middle cingulate cortex (MCC). Meanwhile, alterations in INA present in brain regions were correlated with dopamine system (D2, FDOPA), norepinephrine transporter (NAT) and the vesicular acetylcholine transporter (VAChT) maps.

CONCLUSION

Static and dynamic INA abnormalities exist in first-episode OCD, having the potential to reveal the molecular characteristics. The results help to further understand the pathophysiological mechanism and provide alternative therapeutic targets of OCD.

Violence against older people and associations with mental health: A national probability sample survey of the general population in England

BACKGROUND

Official estimates of violence prevalence in England exclude older people. There are few studies of elder abuse and these excluded violence from acquaintances and strangers and lack comparability with younger adults.

OBJECTIVES

To estimate prevalence of past-year violence victimisation in older people, identify factors associated with violence in older age, quantify the extent to which experience of violence in older people was associated with common mental disorder (CMD).

STUDY DESIGN/METHODS

Analysis of a 2014 general population probability sample survey of 2570 adults aged 60+ and 4484 16-59 year olds. Modified version of the Conflict Tactics Scale measured domestic violence and List of Threatening Experiences captured bullying and serious assault. CMD were assessed using the revised Clinical Interview Schedule. Associations were examined using regression models adjusted for childhood victimisation and other adversities.

RESULTS

2.0 % (n = 52,CI:1.4-2.6) of older people experienced violence in the past year, with intimate partner violence the most prevalent form. Older people of non-white ethnicity, those who were socially isolated or lonely, and the formerly married were more likely to experience violence. Violence was associated with CMD in older people (adjusted odds ratio 2.2, CI:1.0-4.8), controlling for impairments, adversities and other factors.

CONCLUSION

Violence, especially from an intimate partner, is evident in later life and strongly associated with poor mental health. Better instruments for the identification of violence and abuse in older people in research and safe enquiry in practice settings are needed, with recognition of and attention to ethnic and other inequalities among older people in exposure.

The impact of audience dynamics on public speaking anxiety in virtual scenarios: An online survey

BACKGROUND

Public speaking is one of the most commonly feared situations reported in both community and university samples. Despite extensive theoretical models and empirical studies aimed at delineating the underlying factors of Public Speaking Anxiety (PSA), the specific variables contributing to its onset remain incompletely characterised.

METHODS

The research involved 297 participants from an AmazonTurk survey, engaging with virtual public speaking scenarios differentiated by audience size, engagement levels, and room spatial dimensions. Participants' anticipated anxiety levels were quantitatively assessed across these scenarios, enabling a comprehensive exploration of the interaction between situational variables and PSA, thereby providing a framework to explore the influence of audience size, engagement, and spatial dimensions on PSA.

RESULTS

The mixed-effect model revealed a significant interaction among audience size, audience engagement, and room spatial dimensions. Further analyses using principal axis factoring and multiple regression identified three main factors: F1 (Engagement in a Large Audience), F2 (Confinement or Evaluation Anxiety), and F3 (Audience Disengagement). These factors significantly predict PSA scores.

CONCLUSIONS

This study reveals that PSA is influenced by a complex interplay of audience size, room dimensions, and audience engagement. The finding underscores the viable way to incorporate these situational variables in both empirical investigations and therapeutic interventions. Specifically, it introduces a novel framework for standardising audience size relative to room capacity.

Psychological resilience and suicidality in the general population: A cross-sectional study based on data from the National Mental Health Survey of Korea 2021

BACKGROUND

The relationship between suicidality and resilience is underexplored among the general population. This study aimed to explore the relationship between lifetime, one-year, and one-month prevalence of suicidality (ideation, plan, attempt) and resilience in the general population.

METHODS

Data on suicidality, resilience, prevalence of major mental disorders, and other key psychological factors were collected from the National Mental Health Survey of Korea 2021. Interviewees comprised 5511 South Koreans aged 18-79 years. The contribution of resilience to suicidality was evaluated using Rao-Scot logistic regression, adjusting for possible confounders such as mental disorder prevalence and demographic and psychological characteristics.

RESULTS

Significantly lower resilience levels were noted among participants who reported lifetime, one-year, and one-month suicidal ideation, plan, or attempts. High resilience levels predicted no suicidal ideation, plans, and attempts in the lifetime, and no suicidal ideation and plans in the one-year and one-month time frames.

LIMITATIONS

First, this study's cross-sectional design has limitations for ascertaining a causal relationship between resilience and suicidality. Second, because the number of participants who had attempted suicide in the past year and reported suicidal thoughts/attempts in the past month was small, there were limitations in the analysis of suicidality in these time frames. Third, it was difficult to rule out the mediating effects of personality and temperament on the relationship between resilience and suicidality.

CONCLUSIONS

High resilience levels predicted lower lifetime and current suicidal ideation and suicidal planning in the general population. This study shows that psychological resilience is an important factor in evaluating an individual's current suicidality.

Functioning in patients with major depressive disorder in remission: A systematic review and meta-analysis

BACKGROUND

Major depressive disorder (MDD) is one of the leading causes of burden of disease globally. We aimed to investigate whether global functioning is impaired in patients with MDD in full or partial remission compared to healthy control individuals (HC).

METHODS

We conducted a systematic review and meta-analysis according to the PRISMA guideline. We searched the databases PubMed, EMBASE and PsycINFO from January 1st 1980 to February 1st 2023. We included studies of adults with a diagnosis/former diagnosis of MDD with assessment of global functioning performed during a state of full or partial remission. The methodological quality was assessed using the Joanna Briggs Institute (JBI) Critical Appraisal Checklist. Standardised mean differences (SMD) using random-effects models were calculated as the summary measure. We further performed meta-analyses of the mean raw score in patients with MDD for individual functioning scales.

RESULTS

Forty-two studies, comprising 17,999 patients with MDD and 35,550 HC, were included, 14 of which included both patients with MDD in full or partial remission and HC. Global functioning was lower in patients with MDD in full or partial remission compared with HC (SMD -2.00, 95 % CI: -0.9 to -3.03, 15 comparisons, I2: 99.8 %).

LIMITATIONS

Important information about the study participants and setting was not reported for most studies, or the reporting was unclear.

CONCLUSION

Patients with MDD have lower levels of functioning compared with HC also when in full or partial remission. Assessment of functioning should be an essential component of managing patients with MDD, also during remission.

Examining the association of familial and social stress, trauma, and support on mood, anxiety, and behavioral symptoms and diagnoses in youth at risk for bipolar disorder and controls

INTRODUCTION

Youth with a family history of bipolar disorder (At-Risk) have a higher risk of developing psychiatric disorders and experiencing environmental stressors than youth without such family history (Control). We studied the differential associations of familial and environmental factors on developing psychiatric diagnoses and symptoms, in At-Risk and Control youth.

METHODS

At-Risk and Control youth (N = 466, ages 9-22) were systematically assessed for severity of symptoms, psychiatric diagnoses, and self-reported measures of stress and social support. We tested the association of family history and measures of stress or support with symptom severity and diagnoses.

RESULTS

At-Risk youth had higher symptom severity scores and were more frequently diagnosed with psychiatric disorders (all p values < 0.001). When predicting mood symptom severity, family history had an interaction effect with stressful life events (p < 0.001) and number of distinct traumatic events (p = 0.001). In multivariate models, At-Risk status predicted anxiety disorders (OR = 2.7, CI 1.3-5.4, p = 0.005) and anxiety severity (Coefficient = 0.4, CI 0.2-0.7, p < 0.001) but not mood or behavioral disorder diagnoses or severity.

LIMITATIONS

Measures of stress and social support were based on self-report. Not all participants had passed through the period of risk for developing the outcomes under study and the follow up period was variable. We could not fully study the differential impact of physical or sexual abuse due to low frequency of occurrence in controls.

CONCLUSION

At-Risk youth exhibit more severe mood symptoms compared to Controls when exposed to similar levels of stress or trauma. At-Risk youth are also more prone to develop anxiety which may be a precursor for bipolar disorder.

Average ages of onset and time to transition between self-injurious thoughts and behaviors: Retrospective evidence from two developmentally distinct samples

BACKGROUND

Suicidal thoughts and behaviors often emerge in a predictable sequence, with suicidal ideation (SI) preceding planning, and planning preceding actions. Few studies, however, have considered the timing and duration of non-suicidal self-injury (NSSI) in these transitions. Accordingly, this study examined: 1) the developmental sequencing of NSSI, SI and suicide attempts, and 2) whether age of onset or duration predict transitions from NSSI to other SITB, and from SI to NSSI.

METHODS

704 first-year students from a mid-sized Canadian university (Sample 1) and 2095 adults from an online research volunteer panel (Sample 2) completed the Self-Injurious Thoughts and Behaviors Interview self-report, which assessed the presence, age of onset, and recency of SITB.

RESULTS

NSSI and SI typically onset before age 15, while suicide planning and attempt usually began at or after age 15. Transition from NSSI to SI was likeliest in the first year after NSSI onset. Transition from NSSI to suicide attempt was likeliest in the second and third year after NSSI onset in Sample 1, and up to four years after NSSI onset in Sample 2. Early (before age 13) and late (after age 16) onsets of NSSI predicted higher odds of transitioning from NSSI to SI or attempt. Transition from SI to NSSI was likeliest in the first two years after SI onset and when SI began before age 13.

CONCLUSIONS

The first year after NSSI or SI onset are critical for transitions to other SITB. Targeted prevention and monitoring should be considered for people who recently initiated NSSI.

Distressing memories: A continuum from wellness to PTSD

BACKGROUND

Exposure to traumatic events is a frequent source of distress, provoking isolated symptoms such as distressing memories (DM) to full-blown post-traumatic stress disorder (PTSD). We aimed to assess the continuum theory using DM as an isolated symptom, and to examine trauma consequences in a exposed to traumatic events.

METHODS

Using data from the National Epidemiologic Study of Alcohol and Related Conditions III, we assessed the prevalence of DM in a trauma exposed sample, and examined their sociodemographic and lifetime psychiatric correlates, comparing three groups: (i) controls (no DM, no PTSD); (ii) participants with isolated DM without PTSD; (iii) participants with PTSD. We estimated the sensitivity and specificity of DM for PTSD diagnosis.

RESULTS

In our sample of 17,505 participants exposed to trauma, 13 % had PTSD and 42 % had DM without PTSD. The sensitivity of DM for the diagnosis of PTSD was 95.14 %, specificity was 51.91 %. Participants with DM and those with PTSD shared the same socio-demographic correlates. Participants with DM reported more lifetime psychiatric disorders (mood disorders - mainly depressive disorders and bipolar type 1 disorder; anxiety disorders - mainly social anxiety disorder, substance use disorders - mainly opioid use disorder and cannabis disorder; eating disorders - mainly binge eating disorder; personality disorders - mainly borderline personality disorder- and suicidality) than controls, but less than participants with PTSD.

CONCLUSION

DM represent an intermediate state between well-being and post-traumatic stress disorder; DM is also associated with other psychiatric disorders. It should be considered as a transdiagnostic psychiatric symptom useful for clinicians in identifying psychiatric vulnerability.

Provider and patient barriers and facilitators to integration of digital mental health applications in routine clinical care

BACKGROUND

The limited accessibility of mental healthcare providers highlights the need for innovative approaches to provide effective and efficient care. Digital mental health applications (DMHAs) can improve patient access to evidence-based treatments and reduce burden on the healthcare system. Here, we examined the provider and patient barriers and facilitators to integration of DMHAs in a healthcare system.

METHODS

Patients (n = 57) and providers (n = 100) were recruited from a large healthcare system over five months. Participants completed a survey assessing attitudes towards DMHAs, and perceived facilitators and barriers to adoption and utilization of DMHAs in mental healthcare.

RESULTS

DMHA credibility was a key facilitator for provider adoption, while usability and accessibility were identified as key facilitators for patient utilization. Provider barriers included patient cost/provider reimbursement, limited knowledge, perceived limits to credibility, patient outcome enhancement, and personalization of DMHAs for patient needs. Patients identified privacy concerns as the top barrier for using DMHAs.

LIMITATIONS

The self-report survey nature of this study, modest sample size, and majority of sample identifying as White and upper middle class make results subject to biases and limitations. Given the potential of DMHAs to address disparities in access to mental healthcare, more research is needed including populations who are at greatest risk.

CONCLUSIONS

Findings provide new insights to inform the development of intervention strategies to improve the integration of DMHAs within healthcare systems. Additional research examining key stakeholders at different levels of care is critical to address barriers, optimize facilitators, and develop roadmaps for best-practice use in healthcare systems.

The relationship between wearable-derived sleep features and relapse in Major Depressive Disorder

BACKGROUND

Changes in sleep and circadian function are leading candidate markers for the detection of relapse in Major Depressive Disorder (MDD). Consumer-grade wearable devices may enable remote and real-time examination of dynamic changes in sleep. Fitbit data from individuals with recurrent MDD were used to describe the longitudinal effects of sleep duration, quality, and regularity on subsequent depression relapse and severity.

METHODS

Data were collected as part of a longitudinal observational mobile Health (mHealth) cohort study in people with recurrent MDD. Participants wore a Fitbit device and completed regular outcome assessments via email for a median follow-up of 541 days. We used multivariable regression models to test the effects of sleep features on depression outcomes. We considered respondents with at least one assessment of relapse (n = 218) or at least one assessment of depression severity (n = 393).

RESULTS

Increased intra-individual variability in total sleep time, greater sleep fragmentation, lower sleep efficiency, and more variable sleep midpoints were associated with worse depression outcomes. Adjusted Population Attributable Fractions suggested that an intervention to increase sleep consistency in adults with MDD could reduce the population risk for depression relapse by up to 22 %.

LIMITATIONS

Limitations include a potentially underpowered primary outcome due to the smaller number of relapses identified than expected.

CONCLUSION

Our study demonstrates a role for consumer-grade activity trackers in estimating relapse risk and depression severity in people with recurrent MDD. Variability in sleep duration and midpoint may be useful targets for stratified interventions.

Borderline personality disorder and learning: The influences of emotional state and social versus nonsocial feedback

BACKGROUND

Borderline personality disorder (BPD) has been associated with decision-making deficits, yet such deficits may be context dependent, particularly emotional state and social context. Reinforcement learning models offer an avenue to pinpoint decision-making impairments. The current study used reinforcement learning models to examine whether feedback type (social vs. nonsocial) or emotional state (neutral vs. negative) influence the association between BPD and decision making.

METHOD

Adults (N = 131) with a range of BPD symptoms completed a diagnostic interview and a computerized learning task after neutral and negative emotion inductions. We examined accuracy, learning rate, and exploration.

RESULTS

We conducted linear models to examine the association between BPD criteria, feedback type, and emotional state on learning parameters and learning accuracy. We found that the negative emotion condition was associated with greater exploration, particularly for those with elevated BPD features. Furthermore, elevated BPD features were associated with impaired accuracy when aiming to avoid loss. A 3-way interaction between BPD, emotion, and feedback indicated that, for people with higher BPD features, learning performance was further impaired when receiving social feedback in the negative emotion condition.

LIMITATIONS

Several limitations warrant mention, including a relatively homogenous sample, possible co-occurring diagnoses, and methodological consideration with the learning task.

CONCLUSIONS

The present study underscored the link between BPD and learning impairments. Amplified learning alterations under negative social contexts have important implications for identifying optimal venues to teach new skills (of relevance to treatment) for those with BPD.

Minimal clinically important change in the MADRS anhedonia factor score: A pooled analysis of open-label studies with vortioxetine in patients with major depressive disorder

BACKGROUND

It is previously reported that the Montgomery-Åsberg Depression Rating Scale (MADRS) anhedonia factor score is correlated with scales assessing function in patients with major depressive disorder (MDD).

METHODS

This was an analysis of a database including 5 long-term, extension studies of prior controlled trials, which evaluated the effects of open-label, maintenance treatment with vortioxetine (5-20 mg/day over 1-year) in adults with MDD. We assessed the association of changes in MADRS anhedonia factor scores with changes in the Clinical Global Impression of Severity (CGI-S), Sheehan Disability scale (SDS), and the SF-36. A minimal clinically important change (MCIC) for MADRS anhedonia factor scores was determined using the CGI-S as anchor.

RESULTS

In patients who had completed the prior controlled studies, MADRS anhedonia factor scores continued to improve over 1-year of maintenance treatment (mean ± SE change from baseline of -6.2 ± 0.2 at Month 12). Change in MADRS anhedonia factors score correlated with change in CGI-S (Week 4, r = 0.71), SDS (Week 24 r = 0.60) and SF-36 domains (Week 24 r = -0.19 to -0.61) scores. Using a 1 level improvement on CGI-S as anchor, the MCIC for MADRS anhedonia factor scores versus baseline were - 4.6 at Week 4, -5.5 at Week 24, and - 5.3 at Week 52.

LIMITATIONS

Neither the MADRS scale, nor the primary studies, were specifically designed to assess anhedonia.

CONCLUSIONS

These open-label data suggest that patients treated with vortioxetine continued to show clinically relevant improvements in their anhedonia over 1-year of maintenance therapy. Improvements in anhedonia correlated with improvements in measures of functioning and quality of life.

Investigating the association between Work Family Conflicts (WFC) and suicidal ideation in an Australian community-based cohort study

BACKGROUND

Suicidal ideation, a significant public health issue, necessitates further investigation of its correlates and precursors. Extensive research highlights the association between Work Family Conflicts (WFC) and psychological distress, including depression. However, research examining the correlation between high WFC experiences and suicidal ideation is sparse. This study explores the association between WFC and suicidal ideation within an occupation non-specific community sample.

METHODS

Community-based, representative data from the Australian-based Personality and Total Health (PATH) Through Life project formed the basis of this study. Participants eligible for the study (N = 1312) were employed either full-time or part-time and took part in an online questionnaire. Importantly, the data include robust measures of WFC, active suicidal ideation, and depression.

RESULTS

After adjusting for psychosocial job characteristics, history of suicidal ideation, and other socio-demographic factors, high WFC was associated with increased odds of active suicidal ideation (Model 4: OR: 1.58, CI: 1.04-2.40). Further, supplementary analyses indicated that depression is an important component of this relationship. Analyses exploring an interaction effect by gender showed that while a significant association between high WFC and suicidality was observed among men after adjustment for all covariates, this association was not evident for women.

LIMITATIONS

A small number of participants reported suicidal ideation, potentially affecting the statistical power to detect significant effects. WFC was measured at one time-point, prohibiting the exploration of its causal and/or chronic impact on suicidal ideation.

CONCLUSION

We find evidence that high WFC is linked to increased active suicidal ideation - specifically for men.

Core antibiotic resistance genes mediate gut microbiota to intervene in the treatment of major depressive disorder

INTRODUCTION

The relationship between depression and gut microbiota remains unclear, but an important role of gut microbiota has been verified. The relationship between gut microbiota and antibiotic resistance genes (ARGs) may be a potential new explanatory pathway.

METHODS

We collected samples from 63 depressed patients and 30 healthy controls for metagenomic sequencing. The two groups' microbiota characteristics, functional characteristics, and ARG differences were analyzed.

RESULTS

We obtained 30 differential KEGG orthologs (KOs) and their producers in 5 genera and 7 species by HUMAnN3. We found 6 KOs from Weissella_cibaria and Lactobacillus_plantaru are potentially coring functional mechanism of gut microbiota. Different metabolites including sphingolipids, pyrans, prenol lipids, and isoflavonoids also showed significance between MDD and HC. We detected 48 significantly different ARGs: 5 ARGs up-regulated and 43 ARGs down-regulated in MDD compared to HC. Based on Cox model results, Three ARGs significantly affected drug efficacy (ARG29, ARG105, and ARG111). Eggerthella, Weissella, and Lactobacillus were correlated with different core ARGs, which indicated different mechanisms in affecting MDD.

LIMITATIONS

The present study needs to be replicated in different ethnic groups. At the same time, a larger Chinese cohort study and detailed experimental verification are also the key to further discussion.

CONCLUSION

Our findings suggest that ARGs play a role in the interplay between major depressive disorder and gut microbiota. The role of ARGs should be taken into account when understanding the relationship between depression and gut microbiota.

Borderline personality features in relationship to childhood trauma in unipolar depressive and bipolar disorders

BACKGROUND

Childhood trauma, including emotional neglect, emotional abuse, physical abuse, and sexual abuse, may contribute to borderline personality features like affective instability, identity problems, negative relationships, and self-harm. This study aims to explore how different types of childhood trauma affect these features in bipolar versus unipolar depressive disorders.

METHODS

We included 839 participants of the Netherlands Study of Depression and Anxiety (NESDA) with a lifetime diagnosis of major depressive disorder single episode (MDDS; N = 443), recurrent major depressive disorder (MDD-R; N = 331), or bipolar disorder (BD; N = 65). Multivariate regression was used to analyze data from the Childhood Trauma Interview and borderline features (from the self-report Personality Assessment Inventory).

RESULTS

On average, participants were 48.6 years old (SD: 12.6), with 69.2 % being women, and 50.3 % of participants assessed positive for childhood trauma. Adjusted analyses revealed that participants diagnosed with BD, followed by MDD-R, exhibited the highest number of borderline personality features. Additionally, within the entire group, a strong association was found between childhood trauma, especially emotional neglect, and the presence of borderline personality features.

CONCLUSION

Given the high prevalence of childhood trauma and borderline personality features, screening for these factors in individuals with mood disorders is crucial. Identifying these elements can inform and enhance the management of the often fluctuating and complex nature of these comorbid conditions, leading to more effective and tailored treatment strategies.

Early-life risk factors for depression among young adults in the United States general population: Attributable risks and gender differences

BACKGROUND

This study adopts individual and societal-level approaches to examine the contribution of childhood risk factors to major depressive episodes (MDE) in 2526 American young adults.

METHODS

Nationally representative data from the 2017 U.S. Panel Study of Income Dynamics - Transition into Adulthood Supplement (PSID-TAS) were analyzed using multivariate methods to assess the impact of parental mental illness, childhood adversities, childhood mental disorders, and childhood physical conditions. Adjusted odds ratios and population attributable risk proportions (PARPs) are calculated to estimate the proportion of MDE cases related to risk factors.

RESULTS

The 12-month prevalence of positive screens for MDE was 25.4 %. Approximately 34 % of these were attributable to childhood mental disorders, 24 % to childhood physical conditions, 21 % to childhood adversities, and 16 % to parental mental illness. Childhood and parental depression were critical risk factors, both at the individual (odds ratio exceeding 2) and societal (PARP approximately 24 %) levels. Gender-specific risk factors were identified, with childhood physical abuse and childhood anxiety disorders constituting risk factors for females, and childhood externalizing disorders and childhood headaches as risk factors for males. Approximately 60 % of U.S. young adult MDE cases are attributable to risk factors before age 18.

LIMITATIONS

Possible over reporting of MDE may have biased the associations between predictors and depression.

CONCLUSIONS

Exposure to depression at a young age-one's own or parental depression-is a robust risk factor for both genders. Policies and interventions focused at alleviating the societal burden of depression should value its generational transmission.

Prevalence and clinical correlates of benzodiazepine use in the patients with major depressive disorder

BACKGROUND

Major depressive disorder (MDD) is a serious and disabling condition characterized by abnormal mood changes. Clinical guidelines for depression treatment recommend antidepressant medications, with benzodiazepines acting as short-term synergists. However, little is currently known about the prevalence and associated clinical risk factors of benzodiazepine use among Chinese patients with MDD. This study aimed to explore the prevalence and clinical risk factors associated with benzodiazepine use in this population.

METHODS

A total of 2742 patients with MDD (males/females = 816/1926, aged 14-60 years) participated in this cross-sectional observational study. General information and psychosis assessments were collected online. Depressive symptoms were assessed using the Patient Health Questionnaire-9 (PHQ-9), anxiety symptoms using the Generalized Anxiety Disorder-7 (GAD-7), and sleep problems and suicidal tendencies using the third and ninth items of the PHQ-9. Multivariable logistic regression analysis models were employed to identify factors associated with benzodiazepine use.

RESULTS

The prevalence of benzodiazepine use among patients with MDD was 42.9 %. Among these patients, 99.6 % used a single benzodiazepine, with oxazepam being the most frequently prescribed. Age, severity of sleep problems, depressive symptoms, and anxiety symptoms were significantly correlated with benzodiazepine use (all P < 0.001).

LIMITATIONS

The cross-sectional design of this study precludes establishing causal relationships.

CONCLUSION

Our findings indicate a high prevalence of benzodiazepine use among Chinese patients with MDD. Factors such as severe depressive symptoms, anxiety symptoms, age, and sleep problems appear to be associated with benzodiazepine use. These results underscore the importance of vigilance regarding benzodiazepine use in patients with MDD.

Association between sleep duration, suicidal ideation, suicidal attempt and suicidal behavior among Chinese adolescents

BACKGROUND

A relatively small number of studies have researched the relationship between sleep duration and suicidal ideation, attempts, and behavior. This research aims to investigate the link between sleep duration and suicide in Chinese adolescents, and to examine the role of depression as a mediating factor.

METHOD

Data were collected from 3315 students using a multi-stage random cluster sampling method and self-administered questionnaires. The study applied logistic regression to investigate the relationship between sleep duration and various forms of suicidal behavior, and mediation analysis to understand how depression might influence this relationship.

RESULTS

The average sleep duration among the adolescents was 7.25 h (±0.20), with 59.67 % reporting insufficient sleep. The logistic regression analysis showed that longer sleep duration is linked with lower risks of suicidal ideation (OR: 0.753, 95%CI: 0.696 to 0.814), suicidal attempts (OR: 0.830, 95%CI: 0.748 to 0.922), and suicidal behavior (OR: 0.841, 95%CI: 0.713 to 0.992). Analysis using restricted cubic spline plots indicated the connection between sleep duration and these suicidal factors was not linear. The study found that depression plays a partial mediating role between sleep duration and suicidal ideation, with an effect of 52.29 %.

LIMITATIONS

The cross-sectional study design could not prove causation.

CONCLUSIONS

There is a clear non-linear association between sleep duration and suicidal tendencies in adolescents, with depression acting as a mediator. This suggests that future research could focus on sleep and mood management as ways to address suicide risk in this age group.

Collaborative care for common mental disorders in low- and middle-income countries: A systematic review and meta-analysis

BACKGROUND

Low- and middle-income countries (LMICs) face high burden of common mental disorders (CMDs). Most of the evidence for the Collaborative Care (CC) model effectiveness comes from high-income countries (HICs) and may not generalise to LMICs. A systematic review was conducted to assess effectiveness of CC for CMDs in LMICs.

METHODS

We searched eight-databases, two trial registries (2011-November 2023). Randomised controlled trials (RCTs) of adults (≥18 years) with depression/anxiety diagnosis, reporting remission/change in symptom severity were eligible. Random effects meta-analyses were conducted for: short-(0-6 months), medium-(7-12 months), long-(13-24 months), and very long-term (≥25 months) follow-up. Quality was assessed with Cochrane RoB2 tool. PROSPERO registration: CRD42022380407.

RESULTS

Searches identified 7494 studies, 12 trials involving 13,531 participants were included; nine had low-risk of bias. CC was more effective than usual care for depression: dichotomous outcomes (short-term, 7 studies, relative risk (RR) 1.39, 95%CI 1.31, 1.48; medium-term, 6 studies, RR 1.35, 95%CI 1.28, 1.43); and continuous outcomes (short-term, 8 studies, standardised mean difference (SMD) -0.51, 95%CI -0.80, -0.23; medium-term, 8 studies, SMD -0.59, 95%CI -1.00, -0.17). CC was found to be effective at long-term (one study), but not at very long-term. Improvement in anxiety outcomes with CC (2 studies, 340 participants) reported up to 12-months; improvements in quality-of-life were not statistically significant (3 studies, 796 participants, SMD 0.62, 95%CI -0.10, 1.34).

LIMITATIONS

Pooled estimates showed high heterogeneity.

CONCLUSIONS

In LMICs, CC was more effective than usual care for improving depression outcomes at short and medium-term follow-up. A similar improvement was found for anxiety outcomes, but evidence is limited.

Association between childhood emotional abuse and non-suicidal self-injury among Guangxi adolescents in China: A moderated mediation model

BACKGROUND

Childhood Emotional Abuse (CEA) is a known risk factor for Non Suicidal Self-injury (NSSI), which could have devastating repercussions. This study aimed to establish whether Parent-Child Attachment (PCA) and depressive symptoms mediated the CEA-NSSI relationship, as well as whether school connectedness moderated both the direct and indirect relationships between CEA and NSSI.

METHODS

Between November and December 2022, 7447 Chinese adolescents in high schools were surveyed through multi-stage cluster random sampling. The participants completed self-reported questionnaires that assessed CEA, PCA, depressive symptoms, school connectedness, and NSSI. Relationships between these variables were examined through moderated mediation analysis using SPSS macro-PROCESS.

RESULTS

After controlling for sociodemographic variables, we found that CEA correlated positively with NSSI through two different pathways: the mediating role of depressive symptoms and the chain-mediating role of both PCA and depressive symptoms. Moreover, school connectedness could moderate the direct and indirect relationships between CEA and NSSI.

LIMITATIONS

The study's cross-sectional design does not allow for causal inferences.

CONCLUSIONS

Overall, PCA, depressive symptoms, and school connectedness could affect the CEA-NSSI relationship.

Consequence of child and adolescent depressive symptom trajectories for adult depressive disorders and symptoms: A systematic review & meta-analysis

BACKGROUND

Group differences in longitudinal patterns of child and adolescent depressive symptoms are commonly observed. However, the implications for adult mental health are unclear. This study presents a systematic review of child and adolescent depressive symptom trajectory research and meta-analysis of their longitudinal effects on adult depressive symptoms and disorders.

METHODS

A systematic search identified 12 longitudinal studies (12 cohorts, N = 35,058) that were harmonized to identify common symptom trajectories prior to age 18 years. Examination of follow-up in the same groups was made (at average age 20.5 years) to estimate longitudinal associations with adult depressive symptoms (Sx) and disorders (Dx), using random effects meta-analyses.

RESULTS

The included studies identified Low (70.3 %), Moderate (17.9 %), High (9.5 %), Increasing (9.5 %) and Decreasing (5.1 %) symptom trajectories. These trajectories were found to predict variation in symptoms and disorders in adulthood: Low, Dx = 4.5 %, 95 % Confidence Interval [CI] 2.7-6.8 %, Sx [Mean] = 8.33, Standard Deviation [SD] = 6.30; Moderate, Dx = 20.9 %, CI 11.9-31.5 % - Sx = 18.13, SD = 3.38; High, Dx = 34.4 % CI 17.2-54.0 % - Sx = 38.80, SD = 7.75; Increasing, Dx = 38.3 %, CI 12.7-67.5 % - Sx = 24.73, SD = 18.64; Decreasing, Dx = 15.4 %, CI 10.5-20.9 % - Sx = 17.00, SD = 12.18.

LIMITATIONS

Confidence intervals are wide for some trajectory effects. There was significant between-cohort heterogeneity in predictive effects for High trajectories, suggesting the need for further research to identify characteristics influencing variation.

CONCLUSION

Low symptom trajectories forecast lower adult depression symptoms and disorders. Programs effectively targeting reductions in Moderate, High, Increasing and Decreasing trajectories will likely prevent problems in early adulthood.

Microaggression and discrimination exposure on young adult anxiety, depression, and sleep

BACKGROUND

Increasing research examines social determinants of health, including structural oppression and discrimination. Microaggression - subtle/ambiguous slights against one's marginalized identity - is distinct from discrimination, which typically presents as overt and hostile. The current study investigated the comparative effects of each exposure on young adult anxiety, depression, and sleep. Race-stratified analyses investigated patterns across groups.

METHODS

Young adults (N = 48,606) completed the Spring 2022 American College Health Association-National College Health Assessment III. Logistic regressions tested odds of anxiety symptoms, depressive symptoms, and sleep disturbance in association with microaggression and discrimination exposure.

RESULTS

Microaggression and discrimination equally predicted increased likelihood of anxiety symptoms (ORMicro = 1.42, ORDiscrim = 1.46). Discrimination more strongly predicted depressive symptoms (OR = 1.59) and sleep disturbance (OR = 1.54) than did microaggression (ORDepress = 1.24, ORSleep = 1.27). Race-stratified analyses indicated stronger associations between the each exposure and poor mental health in Whites than Asian American, Black/African American, and Hispanic or Latino/a/x respondents.

LIMITATIONS

Microaggression and discrimination exposure were each assessed using a single item. The outcome measures were not assessed using validated measures of anxiety, depression, and sleep (e.g., GAD-7, MOS-SS); thus results should be interpreted with caution. Analyses were cross-sectional hindering our ability to make causal inferences.

CONCLUSIONS

The findings provide preliminary evidence that microaggression and discrimination exposure operate on health in distinct ways. Racially marginalized individuals may demonstrate a blunted stress response relative to Whites. Treatment approaches must be tailored to the particular exposures facing affected individuals to maximize benefits.

Age of onset of major depressive episode and association with lifetime psychiatric disorders, health-related quality of life and impact of gender: A cross sectional and retrospective cohort study

OBJECTIVE

To assess the long-term impact of the age of onset (AOO) of the first major depressive episode (MDE) according to 3 age groups and considering gender.

METHODS

Data were extracted from NESARC III, a representative U.S.

SAMPLE

We included 8053 participants with an MDE history in a cross-sectional and retrospective cohort study. We defined 3 AOO groups: childhood-onset (< 13 yo), adolescence-onset (13-18 yo), and adult-onset (> 18 yo). We compared sociodemographic characteristics, lifetime psychiatric disorders per DSM-5 criteria, and health-related quality of life (HRQOL) in each group and performed gender-stratified analyses.

RESULTS

Prevalence of childhood-onset MDE was 10.03 %, adolescence-onset was 14.12 %, and adult-onset was 75.85 %. Suicide attempts (AOR = 3.61; 95 % CI 2.90-4.50), anxiety disorders (AOR = 1.92; 95 % CI 1.62-2.27), and personality disorders (AOR = 3.08; 95 % CI 2.56-3.71) were more frequent in the childhood-onset than in the adult-onset one. Adolescence-onset group showed similar results. Physical Disability scale (p < 0.001) and Mental Disability scale (p < 0.001) were significantly lower in the childhood-onset group. Results were more nuanced in the adolescence-onset group. Women in childhood-onset and adolescence-onset groups had poorer outcomes than the adult-onset group. Differences were less pronounced in men.

LIMITATIONS

Recall and classification biases inherent to survey design.

CONCLUSION

Individuals, particularly women, who experienced their first MDE during childhood or adolescence exhibit higher lifetime psychiatric disorder prevalence and poorer HRQOL than those with adult-onset MDE. These findings highlight the importance of preventive measures, early diagnosis, and treatment of youth depression.

Intimate partner violence and symptoms of psychological distress and depression in adolescents and young adults in Haiti

BACKGROUND

Intimate partner violence (IPV) is prevalent in low and middle-income countries, such as Haiti. However, there is little research on its association with mental health problems such as psychological distress and depression. Although there is evidence that men may experience IPV, few studies have investigated mental health difficulties among Haitian men and women. The present study aims to 1) assess the prevalence of depressive symptoms and psychological distress in this population and 2) examine the association between IPV, psychological distress, and depression while considering potential risk and protective factors.

METHOD

A representative sample of 3,586 adolescents and young adults aged 15 to 24 living in Haiti was recruited. Structural equation modeling was used to examine the association between IPV, depressive symptoms, and psychological distress.

RESULTS

Almost half of the sample reported depressive symptoms and psychological distress, with high rates among both genders. IPV was found to be an independent predictor of both depressive symptoms and psychological distress after accounting for risk and protective factors.

LIMITATION

This study is the first step in understanding the interplay between IPV victimization, risk and protective factors, and psychological difficulties in this population. However, because of the cross-sectional design, causality should not be inferred. Furthermore, this study did not measure community violence, which could have affected participants' mental health.

CONCLUSION

This study highlights the importance of considering the occurrence of IPV victimization when evaluating depression and psychological distress among adolescents and young adults.

Prenatal determinants of anxiety symptoms in middle childhood. Evidence from Growing Up in New Zealand

BACKGROUND

Early life environments can have long-lasting impacts on future health and wellbeing. Maternal health during pregnancy, including experiencing stress or mood disorders, has been associated with psychopathology in later life. Anxiety disorders are one of the most prevalent mental health conditions, affecting approximately 7 % of children and adolescents globally, with a lifetime prevalence of 15-20 %. Identifying prenatal risk factors can support future and current public health interventions and maternity care.

METHODS

Data were obtained from the Growing Up in New Zealand longitudinal study of child development. Prenatally, mothers provided sociodemographic information as well as data on their mental health, potential teratogens, and lifestyle factors such as supplement intake and exercise levels. At 8-years old, 4922 children self-completed the PROMIS-SF anxiety measure. Bivariate analyses and backward stepwise regression were used to determine the best multivariable model.

RESULTS

Significant prenatal predictors of anxiety symptoms at 8-years old included elevated maternal depression symptoms, body mass index in the overweight/obese range, exercise patterns, and paracetamol, anti-inflammatory and alcohol intake.

LIMITATIONS

Sample attrition from baseline to 8-year may have affected statistical power. To further untangle the effect of timing and duration of the exposures reported in this study, larger sample sizes would be required.

CONCLUSIONS

Prenatal mental health and wellbeing was significantly associated with child anxiety symptoms at 8-years of age. This study highlights the importance of supporting expectant mothers' health and wellbeing during pregnancy to ensure children have the best opportunity to have good mental health.

Identifying pathways from childhood adversity to suicidal thoughts and behaviors among sexual minority adults: An exploratory mediation analysis

BACKGROUND

The current study uses a nationally representative longitudinal dataset of sexual minority adults in the US to investigate the pathways from adverse childhood experiences (ACEs) to adulthood suicidal thoughts and behaviors.

METHODS

ACEs were measured at year one, potential mediators at year two, and suicidal thoughts and behaviors (suicidal ideation, intent, plan, and attempt) at year three. We conducted an exploratory mediation analysis to identify potential mediating factors linking ACEs to suicidal thoughts and behaviors. Ten candidate mediators were examined: social well-being, felt stigma, experiences of everyday discrimination, social support, psychological distress, alcohol and drug use, importance of sexual identity, community connection, and internalized homophobia.

RESULTS

Participants were 1518 adults who identified as lesbian or gay (n = 833; 55 %), bisexual (n = 493; 33 %), or with other sexual minority identities (n = 181; 12 %) and were on average 36.48 years (SD = 14.7) of age. Psychological distress served as a common mediator between ACEs and suicidal ideation, intent, plan, and attempt. Additionally, experiences of everyday discrimination emerged as a specific mediator leading to suicidal intent, whereas social support uniquely mediated the relation between ACEs and suicide plan.

LIMITATIONS

Potential recall bias due to retrospective reporting of ACEs may be a limitation. Future studies should broaden the measurement scope of ACEs and implement intersectional methods.

CONCLUSION

The current findings underscore the urgent need for targeted interventions that address the specific mental health needs of sexual minority individuals, particularly focusing on mitigating psychological distress, combating systemic discrimination, and enhancing social support.

New insights into recalled parental behavior in social anxiety disorder: A cluster analytic approach

BACKGROUND

Social Anxiety Disorder (SAD) is a highly heterogeneous disorder. To enlighten its heterogeneity, this study focused on recalled parental behavior and aimed to empirically identify if there are subgroups of SAD based on recalled parental behavior by means of cluster analysis. Further, the study investigated whether those subgroups differed on clinical, trauma, and personality variables.

METHODS

This study included 505 individuals diagnosed with SAD and 98 adult controls who were asked to fill out the Parental Bonding Instrument (PBI), the Adverse Childhood Experiences Questionnaire (ACE), and the Temperament and Character Inventory (TCI). Cluster analysis determined whether there are meaningful SAD subgroups based on PBI. The clusters obtained were compared with each other and with the control group with regard to clinical, ACE, and TCI variables.

RESULTS

The cluster analysis revealed two SAD clusters based on recalled parental behavior. SAD individuals in the first cluster (49.3 %) perceived their parents as intermediately caring, but not as overcontrolling. SAD individuals in the second cluster (50.7 %) perceived their parents as less caring and overcontrolling, reported more severe clinical symptoms and trauma, and had lower values in Self-Directedness and Cooperativeness.

LIMITATIONS

The present study is cross-sectional, therefore unable to confirm causal interpretations.

CONCLUSION

Parenting is meaningful to enlighten the heterogeneity of SAD symptomatology and to specify treatment approaches as there are two meaningful subgroups in individuals with SAD corresponding to differences in clinical presentation, trauma, and personality.

Electroacupuncture attenuates depressive-like behaviors in poststroke depression mice through promoting hippocampal neurogenesis and inhibiting TLR4/NF-κB/NLRP3 signaling pathway

The aim of this study was to investigate the impact and underlying molecular mechanisms of electroacupuncture on mice with poststroke depression (PSD). Mice were randomly allocated into sham, PSD, and electroacupuncture groups. Mice in the PSD and electroacupuncture groups underwent middle cerebral artery occlusion (MCAO) surgery following with sedentary behavior. Electroacupuncture targeting Zusanli (ST36) acupoint was performed 24 h after MCAO for 4 weeks in electroacupuncture group. The sucrose preference test, forced swimming test, open field test, tail suspension test, elevated plus maze, Catwalk analysis, RNA sequencing, Nissl staining, Golgi staining, TUNEL staining, Edu labeling, and doublecortin staining were performed. Lymphocyte subsets in peripheral blood and the levels of IL-1β, IL-6, TNF-α, and expression of Iba1/CD86, Iba1/NLRP3, TLR4/p38/NF-κB/NLRP3 pathways in the hippocampus were detected. Electroacupuncture effectively protected against the development of depression-like symptoms. The number of granulosa cells and doublecortin-positive cells in the dentate gyrus (DG) were significantly decreased in PSD group, which were significantly upregulated ( P  < 0.01) by electroacupuncture. Electroacupuncture also significantly reduced ( P  < 0.05) TUNEL-positive cells in the DG and CA1. RNA-seq revealed that electroacupuncture may exert antidepressant effect by regulating the inflammation mediated by TLR4/NF-κB/NLRP3 pathway in hippocampus. Electroacupuncture remarkably elevated ( P  < 0.01) the ratio of CD4+ to CD8+ T cells and percentage of CD3-CD49b+ cells in CD45+CD49b+ cells in the peripheral blood. Electroacupuncture significantly reduced ( P  < 0.05) the high levels of IL-1β, IL-6, TNF-α, iba1, TLR4, p-p38, p-NF-κB, and NLRP3 and sedentary behavior. Electroacupuncture was observed to mitigate depression symptoms and increase hippocampal neurogenesis in mice with PSD, possibly by inhibiting TLR4/p38/NF-κB/NLRP3 pathways and improving the microglia-mediated inflammatory microenvironment in the hippocampus.

Problematic gaming, psychiatric comorbidities, and adolescence: A systematic review of the literature

Problematic gaming is particularly prevalent in adolescent and young adult populations. While numerous studies have investigated the psychiatric comorbidities of Internet Gaming Disorder in young adults, few have focused specifically on adolescents who might be especially at risk because developmental particularities related to this developmental period. Here, we conducted a review of the literature, in line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, in order to highlight the types of psychiatric comorbidities found in adolescents with problematic gaming.. We selected and analyzed 30 cross-sectional and longitudinal studies which correspond to 3683 adolescents (63,27% of boys) worldwide with problematic gaming. Our results highlight the high prevalence of Attention Deficit Hyperactivity Disorder (ADHD) in adolescents with problematic gaming and the links between this addiction and inattention, anxiety, depression, behavioural and emotional problems. These psychiatric comorbidities interact with problematic gaming and predict it throughout the adolescent's development. Moreover, this interaction involves personality profile and environment, including parental education. The complexity of this interaction argues in favor of the multi-level assessment that we are promoting.