Transfer of preclinical study data on the influence of cimicifuga racemosaon functional changes in the hippocampus during menopause

Menopausal transition in women involves complex neurobiochemical changes linked to ovarian dysfunction, resulting in symptoms like vasomotor symptoms (VMS), sleep disturbances, anxiety, and cognitive impairments. Hormone replacement therapy is the first-line treatment. However, many women are reluctant to use HRT or have contraindications toward HRT and seek for alternatives. Non-hormonal therapies with extracts of Cimicifuga racemosa rhizomes like the isopropanolic extract (iCR, black cohosh) offer a promising alternative. A preclinical pilot study exploring iCR's effects on gene expression in the hippocampus and hypothalamus of ovarectomized (OVX) rats mimicking menopausal conditions identified important signaling pathways and CNS-based contributions to the multitargeted modes of action of iCR. Especially in the hippocampus, iCR compensated effects of OVX on gene expression profiles. These changes are reflected by the genes AVPR1A, GAL, CALCA, HCRT, PNOC, ESR1, ESR2 and TAC3 contributing to the formation of hot flushes or thermoregulation as well as to secondary effects such as blood pressure, metabolism, hormonal regulation, homeostasis, mood regulation, neuroendocrine modulation, regulation of sleep and arousal, and in learning, memory and cognition. To understand the mechanisms in the brain of estrogen-depressed animals (OVX) and subsequent iCR treatment we combined the results of the pilot study with those of up-to-date literature and tried to transfer the current knowledge to humans during menopausal transition and adaptation. Focus was laid on changes in the hippocampal function, that is disturbed by hormonal fluctuations, but can also be brought back into balance by iCR.

Relationship of cognitive measures to mRNA levels in lymphocytes from patients with schizophrenia and controls

Patients with schizophrenia show substantial cognitive deficits and abnormalities in neurotransmitter-related levels of mRNA in brain or peripheral blood lymphocytes. However, the relationship of cognitive deficits as measured by the MATRICS battery and mRNA levels in brain or lymphocytes has not been sufficiently explored. We measured levels of methylation or neurotransmitter-related mRNAs in lymphocytes of 38 patients with chronic schizophrenia (CSZ) and 33 non-psychotic controls (controls) by qPCR using TaqMan probes. We assessed cognitive function in these patients and controls with the MATRICS battery. We used correlation analysis and scatter plots to assess the relationship of lymphocyte mRNA levels to MATRICS domain and composite scores. CSZ subjects had a consistently negative correlation between mRNA levels in lymphocytes and MATRICS cognitive variables of speed of processing, attention-vigilance, working memory, visual learning, and overall composite score. It is uncertain whether these negative correlations represent a causative relation between specific mRNA levels and cognitive deficits. Controls had either positive correlations or non-significant correlations between mRNA and most of the MATRICS variables. There were statistically significant differences in the correlations between mRNA and MATRICS variables between CSZ vs controls for several mRNAs (DNMT1, DNMT3A, BDNF, NR3C1, FPRF3, CNTNAP2). Our data show a different relationship between mRNA levels in peripheral blood lymphocytes and MATRICS cognitive variables in CSZ vs controls. The substantive significance of these differences needs further investigation.

Brain plasticity and adolescent HIV: A randomised controlled trial protocol investigating behavioural and hemodynamic responses in attention cognitive rehabilitation therapy

Despite advances in antiretroviral pharmacology, neuroHIV in the central nervous system (CNS), causes neuronal dysregulation, which is associated with compromised neurocognition. Non-pharmaceutical interventions such as HIV cognitive rehabilitation training (HIV-CRT), have shown potential to partially reverse cognitive deficits, sequent HIV neuroinvasion. Nonetheless, no studies exist pairing cognitive outcomes with objective neuroimaging biomarkers in adolescent HIV-CRT. This longitudinal pre-post-quasi-experimental protocol examined cognitive outcomes, paired with optimal neuroimaging outcomes following customised attention training in adolescent HIV. Twenty-six adolescents living with HIV were randomly assigned to either the treatment group, which received attention CRT using ACTIVATE™, (n = 13), or to the treatment as usual group (n = 13). Cognitive outcomes were examined using the NEPSY-II, and BRIEF; whilst neuroimaging outcomes were determined by changes in oxygenated haemoglobin (HbO), as determined by functional near-infrared spectrometry (fNIRS). Functional connectivity fNIRS measures were evaluated using seed-based correlation analysis, located in the central executive network (CEN). This study serves to guide the development and identification of objective biomarkers for adolescent neuroHIV, sequent CRT amongst children living with HIV in Sub-Saharan Africa.

Cortical intermittent theta burst stimulation on gait pathomechanics and urinary tract dysfunction in incomplete spinal cord injury patients: Protocol for a randomized controlled trial

Gait impairment and neurogenic bladder are co-existing common findings in incomplete spinal cord injury (iSCI). Repetitive transcranial magnetic stimulation (rTMS), evident to be a promising strategy adjunct to physical rehabilitation to regain normal ambulation in SCI. However, there is a need to evaluate the role of Intermittent theta burst stimulation (iTBS), a type of patterned rTMS in restoring gait and neurogenic bladder in SCI patients. The aim of the present study is to quantify the effect of iTBS on spatiotemporal, kinetic, and kinematic parameters of gait and neurogenic bladder dyssynergia in iSCI. After maturing all exclusion and inclusion criteria, thirty iSCI patients will be randomly divided into three groups: Group-A (sham), Group-B (active rTMS) and Group-C (active iTBS). Each group will receive stimulation adjunct to physical rehabilitation for 2 weeks. All patients will undergo gait analysis, as well assessment of bladder, electrophysiological, neurological, functional, and psychosocial parameters. All parameters will be assessed at baseline and 6th week (1st follow-up). Parameters except urodynamics and gait analysis will also be assessed after the end of the 2 weeks of the intervention (post-intervention) and at 12th week (2nd follow-up). Appropriate statistical analysis will be done using various parametric and non-parametric tests based on results.

The role of physical activity in mitigating stress-induced internet addiction among Chinese college students

BACKGROUND

This study addresses the nexus of stress, physical exercise, and internet addiction in college students, aiming to unravel their complex interactions. With prior research hinting at correlations, this study seeks deeper insights into the optimal exercise duration and the mediating role of physical activity in the stress-internet addiction relationship.

METHODS

We examined 2892 Chinese college students, assessing psychosocial traits via established scales: the Chinese Internet Addiction Scale (CIAS-R), International Physical Activity Questionnaire (IPAQ), and DASS-21 for stress. We adopted a questionnaire survey method to collect data, and through convenience sampling, participants were selected. Analysis involved Structural Equation Model (SEM) and restricted cubic splines (RCS).

RESULTS

Among participants, 22.0 % self-reported internet addiction symptoms. Notably, a non-linear correlation between moderate (MPA) and vigorous physical activity (VPA) and internet addiction was evident (P < 0.001), while light physical activity (LPA) showed no significant association (P = 0.182). MPA initially reduced internet addiction as activity hours increased, but its efficacy lessened after 0.8 h/day. Conversely, VPA's impact fluctuated, declining from 0 to 0.18 h/day, then stabilizing. SEM analysis highlighted VPA and MPA's partial mediation in the stress-internet addiction relationship. Specifically, the path coefficient from stress to MPA was -0.037 (P < 0.05), and the path coefficient from MPA to internet addiction was -0.056 (P < 0.01). Additionally, the path coefficient from stress to VPA was -0.067 (P < 0.001), and the path coefficient from VPA to internet addiction was -0.102 (P < 0.001).

CONCLUSION

This study unveils the intricate interplay between physical activity, stress, and internet addiction among college students. With 22.0 % reporting addiction symptoms, urgent interventions tailored to promoting healthy physical activity levels are imperative to mitigate internet addiction risks.

LIMITATIONS

The cross-sectional nature of our design precludes the establishment of causal relationships between psychological stress and internet addiction.

Antidepressants and COVID-19: Increased use, occurrence in water and effects and consequences on aquatic environment. A review

The COVID-19 pandemic changed the consumption of many drugs, among which antidepressants stand out. This review evaluated the frequency of antidepressant use before and after COVID-19. Once the most consumed antidepressants were identified, detecting a variation in the frequency of consumption on the different continents, an overview of their life cycle was carried out, specifying which antidepressants are mostly detected and the places where there is a greater concentration. In addition, the main metabolites of the most used antidepressants were also investigated. A correlation between the most consumed drugs and the most detected was made, emphasizing the lack of information on the occurrence of some of the most consumed antidepressants. Subsequently, studies on the effects on aquatic life were also reviewed, evaluated through different living beings (fish, crustaceans, molluscs, planktonic crustaceans and algae). Likewise, many of the most used antidepressants lack studies on potential adverse effects on aquatic living beings. This review underscores the need for further research, particularly focusing on the life cycle of the most prescribed antidepressants. In particular, it is a priority to know the occurrence and adverse effects in the aquatic environment of the most used antidepressants after the pandemic.

Childhood trauma and suicide risk: Investigating the role of adult attachment

BACKGROUND

Suicide is a leading cause of death globally and a serious public health concern. Childhood trauma has been found to be associated with adult suicide vulnerability. Recent research has turned attention to investigating the role of attachment in the context of the childhood trauma-adult suicide relationship. The current study investigated for the first time whether attachment influences and moderates the childhood trauma-suicidality relationship, using a daily diary design, in the general population.

METHODS

481 participants completed questionnaires assessing experiences of childhood trauma, attachment patterns, and history of suicidality. 243 participants continued to a daily diary phase where measures of daily stress, defeat and entrapment were completed for 7 consecutive days.

RESULTS

Higher levels of childhood trauma were associated with a history of suicide ideation and attempt and also higher levels of daily defeat, entrapment and stress during the 7 day study. Similarly, higher levels of attachment anxiety and avoidance were associated with a history of suicide ideation and attempt together with higher levels of daily defeat, entrapment and stress. However, the effects of childhood trauma on suicide history and on daily suicide vulnerability factors were not moderated by attachment anxiety or avoidance.

LIMITATIONS

The measure of childhood trauma was a retrospective self-report tool that may be influenced by memory biases.

CONCLUSIONS

Childhood trauma and insecure attachment are implicated in adult suicide risk. Interventions aimed at mitigating the negative effects of childhood trauma and insecure attachment should also incorporate components that target modifiable risk factors such as defeat, entrapment and stress.

Spatiotemporal discoordination of brain spontaneous activity in major depressive disorder

BACKGROUND

Major depressive disorder (MDD) is a widespread mental health issue, impacting spatial and temporal aspects of brain activity. The neural mechanisms behind MDD remain unclear. To address this gap, we introduce a novel measure, spatiotemporal topology (SPT), capturing both the hierarchy and dynamic attributes of brain activity in depressive disorder patients.

METHODS

We analyzed fMRI data from 285 MDD inpatients and 141 healthy controls (HC). SPT was assessed by coupling brain gradient measurement and time delay estimation. A nested machine learning process distinguished between MDD and HC using SPT. Person's correlation tested the link between SPT's and symptom severity, and another machine learning method predicted the gap between patients' chronological and brain age.

RESULTS

SPT demonstrated significant differences between patients and healthy controls (F = 2.944, p < 0.001). Machine learning approaches revealed SPT's ability to discriminate between patients and healthy controls (Accuracy = 0.65, Sensitivity = 0.67, Specificity = 0.64). Moreover, SPT correlated with the severity of depression symptom (r = 0.32. pFDR = 0.045) and predicted the gap between patients' chronological age and brain age (r = 0.756, p < 0.001).

LIMITATIONS

Evaluation of brain dynamics was constrained by MRI temporal resolution.

CONCLUSIONS

Our study introduces SPT as a promising metric to characterize the spatiotemporal signature of brain function, providing insights into deviant brain activity associated with depressive disorders and advancing our understanding of their psychopathological mechanisms.

Fast depressive symptoms improvement in bipolar I disorder after Stanford Accelerated Intelligent Neuromodulation Therapy (SAINT): A two-site feasibility and safety open-label trial

BACKGROUND

Although there are a few first-line treatment options for bipolar depression, none are rapid-acting. A new rTMS protocol, Stanford Accelerated Intelligent Neuromodulation Therapy (SAINT®), has been shown to have a rapid antidepressant effect in major depressive disorder (MDD). We examined the preliminary safety, tolerability, and efficacy of SAINT for the treatment of depression in a small sample of persons with treatment-resistant bipolar I disorder.

METHODS

Participants with treatment-resistant bipolar I disorder currently experiencing moderate to severe depression were treated with open-label SAINT. Resting-state functional MRI (fMRI) was used to generate individualized treatment targets for each participant based on the region of the left dorsolateral prefrontal cortex most anticorrelated with the subgenual anterior cingulate cortex. Participants were treated with 10 iTBS sessions daily, with 50-min intersession intervals, for up to 5 consecutive days. The primary outcome was change in Montgomery-Åsberg Depression Rating Scale (MADRS) from baseline to immediate follow-up after treatment.

RESULTS

We treated 10 participants and found a mean reduction of 16.9 in MADRS scores, with a 50 % response rate and 40 % remission rate immediately following treatment. 60 % of participants met remission criteria within the 1-month period following treatment. No serious adverse events, manic episodes, or cognitive side effects were observed.

LIMITATIONS

Our study has a limited sample size and larger samples are needed to confirm safety and efficacy.

CONCLUSIONS

SAINT has shown preliminary feasibility, safety, tolerability, and efficacy in treating treatment-resistant bipolar I depression. Double-blinded sham-controlled trials with larger samples are needed to confirm safety and efficacy.

Evaluation of low vagally-mediated heart rate variability as an early marker of depression risk

BACKGROUND

Both low vagally-mediated heart rate variability (HRV) and depression have been shown to be risk factors for cardiovascular disease (CVD). We recently identified an HRV cutpoint below which persons have an increased risk for several cardiometabolic disorders. However, no cutpoint exists to identify those at risk for depression.

METHODS

The association between daytime HRV and diagnostically validated depression cutoffs using the five-item World Health Organization Well-being Index (WHO-5) was examined in adults from the Mannheim Industrial Cohort Study (n = 9973; Mage = 41.9[10.9]; 20 % women [n = 1934]). The aim was to identify HRV cutpoints for individuals who may have clinical depression.

RESULTS

Regression adjusting for age, sex, and linear trend showed a significant quadratic association between depression, indexed by WHO-5 scores and HRV, indexed by the root mean square successive differences (RMSSD) in milliseconds (ms) (p < 0.001). Logistic regression models adjusting for age, sex, and heart period (i.e., inter-beat intervals) compared the clinically depressed (WHO-5 ≤ 28) and those with a screening diagnosis of depression (WHO-5 ≤ 50) to the rest of the population. Significant odds ratios suggested two RMSSD values 25 ± 2 ms (OR = 1.39 [1.17, 1.64]) and 35 ± 2 ms (OR = 1.17 [1.02, 1.34]) that may be used to identify those with an elevated risk for depression.

LIMITATIONS

The sample was primarily German men. Fitness and anti-depressant use were not available.

CONCLUSIONS

As HRV is a brief measure that can be used in clinical settings, our HRV cutpoints have implications for the early detection of those at risk for psychological and cardiometabolic disorders.

Association between cognitive functioning, suicidal ideation and suicide attempts in major depressive disorder, bipolar disorder, schizophrenia and related disorders: A systematic review and meta-analysis

INTRODUCTION

Treatable mental disorders, such as psychotic, major depressive disorder (MDD), and bipolar disorder (BD), contribute to a substantial portion of suicide risk, often accompanied by neurocognitive deficits. We report the association between cognitive function and suicidal ideation/suicide attempts (SI/SA) in individuals with schizoaffective disorder, BD, and MDD.

METHODS

A systematic search was conducted on PubMed, Ovid and Scopus databases for primary studies published from inception to April 2024. Eligible articles that reported on the effect size of association between cognition and SI/SA were pooled using a random effects model.

RESULTS

A total of 41 studies were included for analysis. There was a negative association between executive functioning and SI/SA in schizoaffective disorder (SA: Corr = -0·78, 95 % CI [-1·00, 0·98]; SI: Corr = -0·06, 95 % CI [-0·85, 0·82]) and MDD (SA: Corr = -0·227, 95 % CI [-0·419, -0·017]; SI: Corr = -0·14, 95 % CI [-0·33, 0·06]). Results were mixed for BD, with a significant positive association between SA and global executive functioning (Corr = 0·08, 95 % CI [0·01, 0·15]) and negative association with emotion inhibition. Mixed results were observed for processing speed, attention, and learning and memory, transdiagnostically.

LIMITATIONS

There is heterogeneity across sample compositions and cognitive measures. We did not have detailed information on individuals with respect to demographics and comorbidities.

CONCLUSIONS

We observed a transdiagnostic association between measures of cognitive functions and aspects of suicidality. The interplay of cognitive disturbances, particularly in reward-based functioning, may underlie suicidality in individuals with mental disorders. Disturbances in impulse control, planning, and working memory may contribute to self-injurious behavior and suicide.

Predictors of COVID-19 vaccine uptake among youth with bipolar disorder spectrum disorders and their caregivers

BACKGROUND

Little is known about rates of COVID-19 vaccine uptake among youth with bipolar spectrum disorders (BSD). As such, the aim of this study is to assess rates and predictors of COVID-19 vaccine uptake among youth with BSD and their caregivers in the United States.

METHODS

Youth and their main caregiver were recruited from a large pragmatic study cohort. Youth who were aged 8-22 at the time of this data collection, had a bipolar-spectrum disorder diagnosis, had overweight or obesity, and were treated with a second-generation antipsychotic were invited to participate in an online survey and interview assessing the impact of the COVID-19 pandemic.

RESULTS

A total of 453 surveys and 341 interviews were completed 07/2021-05/2022 by youth and their caregivers. Sixty-seven percent of caregivers and 63 % of youth reported receiving the COVID-19 vaccine. Vaccine uptake rates among youth and caregivers were highly correlated. Predictors of vaccine uptake among youth were older age and living in the Northeast Region of the United States. Predictors of caregiver vaccine uptake were male sex, higher annual household income and not having to quarantine due to COVID-19.

LIMITATIONS

The sample was small and not a full representation of a population with bipolar-spectrum disorders therefore, the results may not be generalizable. The study design and statistical method do not allow for causal inferences to be made.

CONCLUSIONS

These findings may aid in targeting interventions to maximize COVID-19 and other vaccine uptake in youth with bipolar disorders and their families.

Age-stratified predictions of suicide attempts using machine learning in middle and late adolescence

BACKGROUND

Prevalence of suicidal behaviour increases rapidly in middle to late adolescence. Predicting suicide attempts across different ages would enhance our understanding of how suicidal behaviour manifests in this period of rapid development. This study aimed to develop separate models to predict suicide attempts within a cohort at middle and late adolescence. It also sought to examine differences between the models derived across both developmental stages.

METHODS

This study used data from the nationally representative Longitudinal Study of Australian Children (N = 2266). We selected over 700 potential suicide attempt predictors measured via self-report questionnaires, and linked healthcare and education administrative datasets. Logistic regression, random forests, and gradient boosting algorithms were developed to predict suicide attempts across two stages (mid-adolescence: 14-15 years; late adolescence: 18-19 years) using predictors sampled two years prior (mid-adolescence: 12-13 years; late adolescence: 16-17 years).

RESULTS

The late adolescence models (AUROC = 0.77-0.88, F1-score = 0.22-0.28, Sensitivity = 0.54-0.64) performed better than the mid-adolescence models (AUROC = 0.70-0.76, F1-score = 0.12-0.19, Sensitivity = 0.40-0.64). The most important features for predicting suicide attempts in mid-adolescence were mostly school-related, while the most important features in late adolescence included measures of prior suicidality, psychosocial health, and future plans.

CONCLUSIONS

To date, this is the first study to use machine learning models to predict suicide attempts at different ages. Our findings suggest that the optimal suicide risk prediction model differs by stage of adolescence. Future research and interventions should consider that risk presentations can change rapidly during adolescence.

Case identification and healthcare utilization in the years prior to a first mania diagnosis

BACKGROUND

There is limited evaluation of approaches to identify patients with new onset bipolar affective disorder (BPAD) when using administrative datasets.

METHODS

Using the Massachusetts All-Payer Claims Database (APCD), we identified individuals with a 2016 diagnosis of bipolar disorder with mania and examined patterns of psychiatric and medical care over the preceding 48 months.

RESULTS

Among 4806 individuals aged 15-35 years with a 2016 BPAD with mania diagnosis, 3066 had 48 months of historical APCD data, and of those, 75 % involved information from ≥2 payors. After excluding individuals with historical BPAD or mania diagnoses, there were 583 individuals whose 2016 BPAD with mania diagnosis appeared to be new (i.e., 34 new diagnoses per 100,000 individuals aged 15-35 years). Most individuals received medical care, e.g., 98 % had outpatient visits, 76 % had Emergency Department (ED) visits, and 50 % had mental health-related ED visits during the 48 months prior to their first mania diagnosis. One-third (37.2 %) had a depressive episode before their initial BPAD with mania diagnosis.

LIMITATIONS

Study was conducted in one state among insured individuals. We used administrative data, which permits evaluation of large populations but lacks rigorous, well-validated claims-based definitions for BPAD. There could be diagnostic uncertainty during illness course, and clinicians may differ in their diagnostic thresholds.

CONCLUSIONS

Careful examination of multiple years of patient history spanning all payors is essential for identifying new onset BPAD diagnoses presenting with mania, which in turn is critical to estimating population rates of new disease and understanding the early course of disease.

Savior or saboteur? A nationwide study on digital economy and depression in China

The regional boom in digital economy has provided people with remote conversations and socialization while reducing the risk of depression. This study aims to elucidate whether regional digital economy can be a savior for individual depression. The multi-source dataset collects 11,845 individuals from the China Health and Retirement Longitudinal Study 2018 (CHARLS), with the combination of corresponding regional data from China City Statistical Yearbooks. A series of regressions with integrated mediation and moderation analyses are employed to bridge the link between the digital economy and depression. The results suggest that people living in areas with a higher level of digital economy are less likely to suffer from depression. The development of the digital economy helps people find solace or air grievances more easily, thereby reducing the risk of depression. Individual information and communications technology (ICT) engagement is found to mediate the relationship between the regional digital economy and individual depression. Residence type moderates the association between the three casual pairs of digital economy, ICT engagement, and depression. Improved digitization stimulates personal engagement with ICTs, which in turn expands social connections and support. Strengthened social interactions naturally keep depression away. Moreover, the urban-rural differences further confirm the underlying mechanism. Properly embracing the new digital world can therefore benefit from the transformative potential and mitigate depressive outcomes.

Ventral striatal-cingulate resting-state functional connectivity in healthy adolescents relates to later depression symptoms in adulthood

BACKGROUND

Depression is a significant public health concern. Identifying biopsychosocial risk factors for depression is important for developing targeted prevention. Studies have demonstrated that blunted striatal activation during reward processing is a risk factor for depression; however, few have prospectively examined whether adolescent reward-related resting-state functional connectivity (rsFC) predicts depression symptoms in adulthood and how this relates to known risk factors (e.g., childhood trauma).

METHODS

At baseline, 66 adolescents (mean age = 14.7, SD = 1.4, 68 % female) underwent rsFC magnetic resonance imaging and completed the Children's Depression Inventory (CDI). At follow-up (mean time between adolescent scan and adult follow-up = 10.1 years, SD = 1.6, mean adult age = 24.8 years, SD = 1.7), participants completed the Childhood Trauma Questionnaire (CTQ) and Beck Depression Inventory- Second Edition (BDI-2). Average rsFC was calculated between nodes in mesocorticolimbic reward circuitry: ventral striatum (VS), rostral anterior cingulate cortex (rACC), medial orbitofrontal cortex, and ventral tegmental area. Linear regressions assessed associations between rsFC, BDI-2, and CTQ, controlling for adolescent CDI, sex assigned at birth, and scan age (Bonferroni corrected).

RESULTS

Greater childhood trauma was associated with higher adulthood depression symptoms. Stronger VS-rACC rsFC during adolescence was associated with greater depression symptoms in adulthood and greater childhood trauma.

LIMITATIONS

The small sample size, limited depression severity, and seed-based approach are limitations.

CONCLUSIONS

The associations between adolescent striatal-cingulate rsFC and childhood trauma and adult depression symptoms suggest this connectivity may be an early neurobiological risk factor for depression and that early life experience plays an important role. Increased VS-rACC connectivity may represent an over-regulatory response on the striatum, commonly reported in depression, and warrants further investigation.

Early mother-infant interactions within the context of childbirth-related posttraumatic stress symptoms

BACKGROUND

Childbirth may lead to perinatal mental health issues, such as childbirth-related posttraumatic stress symptoms (CB-PTSS), depression, and anxiety. Despite well explored mother-infant interactions in the context of maternal depression and anxiety, only limited studies investigated mother-infant interactions in the context of CB-PTSS, which is the aim of the present study.

METHODS

One-hundred mother-infant dyads in the French speaking part of Switzerland were classified into three groups: birth-related symptoms (BRS, i.e., symptoms of re-experiencing and avoidance) (n = 20), general symptoms (GS, i.e., symptoms of negative cognition and mood and hyperarousal) (n = 46), and non-symptomatic (NS) (n = 34) based on maternal report on PTSD Checklist for DSM-5 (PCL-5). At six months postpartum, mother-infant interactions were video-recorded and their quality was assessed using the Global Rating Scale. Data was analyzed using ordinal logistic and negative binomial regressions.

RESULTS

In the adjusted model, mothers in BRS group engaged in more frequent coercions compared to the NS group (B = -1.46, p = 0.01, 95%CI = -2.63, -0.36) and showed lower reciprocity in their interactions with their infants compared to the GS group (B = 1.21, p = 0.03, 95%CI = 0.05, 2.37).

LIMITATIONS

The use of a cross-sectional design limited the exploration of how consistent these findings are regarding mother-infant interactions between groups over time.

CONCLUSIONS

Mothers with higher BRS may need support to improve interactions with their infants. Future studies should consider longitudinal design to observe mother-infant interaction changes between CB-PTSS groups over time.

Mendelian randomization of individual sleep traits associated with major depressive disorder

BACKGROUND

Observational studies have shown that individual sleep traits habits are potential risk factors for major depression. However, it is not known whether there is a causal relationship between individual sleep traits habits such as continuous sleep duration, short sleep duration, short sleep duration, insomnia, nap during the day, snoring, and major depression. In this study, Mendelian randomization (MR) was used to predict major depressive disorder (MDD) in individuals sleep traits habits.

METHODS

Data were obtained from the genome-wide association study (GWAS). Nine MR analysis methods were used: Inverse Variance Weighted (IVW) [fixed effects/multiplicative random effects], simple mode, simple mode, weighted mode, simple median, weighted median, penalised weighted median, and MR-Egger, MR Egger (bootstrap). IVW was used as the main analysis method for the MR analysis of two samples, and the other methods were used as supplements.

RESULTS

The results obtained through the IVW method supported a causal relationship between sleep duration and decreased risk of MDD (odds ratio, ORivw: 0.998; 95 % CI: 0.996-0.999, P<0.001). Two-Sample MR, results showed that short sleep duration has a causal effect on the increased risk of MDD (odds ratio, ORivw: 1.179; 95 % CI: 1.108-1.255, P<0.001). However, there were no sufficient evidence supported that long sleep duration has a causal effect on the decreased risk of MDD (odds ratio, ORivw: 0.991; 95 % CI: 0.924-1.062, P = 0.793). A significant causal relationship between insomnia and increased risk of MDD was observed (OR: 1.233; 95 % CI: 1.214-1.253, P<0.001). Interestingly, our study also found that daytime napping has a causal effect on the increased risk of MDD (odds ratio, ORivw: 1.519; 95 % CI: 1.376-1.678, P<0.001). The present results did not show a significant causal relationship between snoring and the risk of MDD (ORivw: 1.000; 95 % CI: 0.998-1.002, P = 0.906). Obstructive sleep apnea (odds ratio, ORivw: 1.021; 95 % CI: 0.972-1.072, P = 0.407) and morning person (odds ratio, ORivw: 1.021; 95 % CI: 0.972-1.072, P = 0.407) have no causal effect on the increased risk of MDD.

LIMITATIONS

The study could not ascertain whether there were genetic differences among different ethnicities, nations, and regions, as it only included participants of European ancestry.

CONCLUSIONS

In summary, our research provides genetic evidence for the relationship between individual sleep traits (short sleep duration, insomnia, daytime napping) and the increased risk of MDD. Interventions targeting lifestyle factors may reduce the risk of MDD.

Psychological resilience is positively correlated with Habenula volume

BACKGROUND

Psychological resilience is defined as the process and outcome of individuals' successful adaptation to challenging life experiences. The Habenula (Hb) is known to be involved in the stress response; however, the relationship between Hb volume and resilience in humans remains unclear. This study investigated the correlation among resilience, Hb volume, and depressive tendencies in adults.

METHODS

Hb volumes were assessed using deep learning techniques applied to 110 healthy participants. Resilience and depression were evaluated using the Connor-Davidson Resilience Scale and Beck Depression Inventory-II, respectively. We examined the relationship between Hb volume and resilience and assessed the mediating effects of resilience on the relationship between Hb volume and depressive tendencies.

RESULTS

Correlation analysis revealed a positive correlation between resilience and Hb volume (partial r = 0.176, p = 0.001), which was more pronounced in women (partial r = 0.353, p = 0.003). Hb volumes on the left and right sides exhibited significant lateralization (LI = 0.031, 95 % CI = [0.016, 0.046]). Despite Hb asymmetry, lateralization was not significantly associated with resilience. The mediation analysis shows significant indirect effect of resilience on the relationship between Hb volume and depressive tendencies (β = -0.093, 95%CI = [-0.189, -0.019]).

CONCLUSION

This study found that populations with lower resilience have smaller Hb volume. Previous research has shown that Hb volume decreased with the increasing severity of depression symptoms in patients. Our findings support this view and extend it to a population that has not been clinically diagnosed with depression. Additionally, we found that psychological resilience can be predicted by Hb volume and may serve as a mediating factor indirectly affecting depressive tendencies, even in healthy individuals.

LIMITATIONS

Due to its cross-sectional design, this study was unable to analyze dynamic changes in Hb volume during the process of resilience adaptation.

The impact of ACTH levels on neurotransmitters and antioxidants in patients with major depressive disorder: A novel investigation

BACKGROUND

The relationship between neurotransmitters and oxidative stress in Major Depressive Disorder (MDD) patients, considering HPA axis activity and psychological and cognitive states, is unclear. This study examines changes in neurotransmitters (GABA, Glx) and antioxidants (GSH) in the dorsal anterior cingulate cortex (dACC) of MDD patients under varying levels of ACTH, and their relationship with psychological and cognitive conditions.

METHODS

Forty-five MDD patients were divided into high-ACTH (>65 pg/mL; n = 16) and normal-ACTH (7-65 pg/mL; n = 29) groups based on blood ACTH levels, along with 12 healthy controls (HC). All participants underwent HAM-D, HAM-A assessments, and most completed MMSE and MoCA tests. GABA+, Glx, and GSH levels in the dACC were measured using the MEGA-PRESS sequence. Intergroup differences and correlations between clinical factors, HPA axis activity, and metabolites were analyzed.

RESULTS

Compared to HC, the normal ACTH group showed higher Glx and lower GSH levels. Glx and GSH were negatively correlated with MDD severity. In the high-ACTH MDD group, Glx positively correlated with delayed memory, and GSH positively correlated with abstraction. Factors influencing GABA included ACTH levels, depression duration, and negative events. Predictive factors for HAM-D scores were GSH and GABA.

LIMITATIONS

The sample size is small.

CONCLUSION

MDD patients exhibit neurochemical differences in the brain related to HPA axis levels, MDD severity, and cognitive function. Clinical factors, neurotransmitters, and neuroendocrine levels significantly influence depression severity.

Comparative randomized trial addressing childhood emotional problems: Computerized vs. traditional transdiagnostic Super Skills program

BACKGROUND

Super Skills for Life is a structured intervention rooted in cognitive-behavioral therapy and a transdiagnostic approach, aimed at preventing childhood emotional problems. Over the past decade, it has demonstrated positive outcomes in various formats and countries. This study evaluated the comparative effectiveness of two individual modalities: the computerized and the traditional version enriched with multimedia content, through a comparative randomized effectiveness trial.

METHOD

109 children (55.24 % female) aged 8-12 years participated, randomly assigned to either the traditional (n = 54) or computerized (n = 51) groups. Pre- and post-intervention assessments involved emotional problem measures completed by children and parents.

RESULTS

Both groups exhibited significant reductions in all outcomes according to parent reports, including depression, anxiety, and anxiety-related life interference. Children's self-reports indicated improvements across all general measures. Generalized Estimating Equations indicated marginally better improvements in the traditional group.

LIMITATIONS

Limitations included the absence of follow-up assessment, variability in participant regions across Spain, and input from other informants like teachers.

CONCLUSIONS

This study pioneers the examination of short-term effects of the program in both a fully computerized format supervised by a specialized therapist and an enriched traditional individual format, and the promising results suggest their potential for indicated prevention of childhood emotional problems.

Population-level effects of Hurricane Sandy on adolescent health

BACKGROUND

Disasters are increasing in frequency and intensity due to climate change. Youth are the largest and most vulnerable group exposed to disasters. More evidence is needed regarding how youth mental health and health behaviors vary based on disaster exposure, how mental health influences health behaviors, and how diverse groups of youth may be differentially affected.

METHODS

Using data from the Youth Risk Behavior Survey and Federal Emergency Management Agency, we examined the impact of Hurricane Sandy (2012) on mental health (sadness, suicidality) and health behaviors (substance use, physical activity, screen time, sexual behaviors) of 240,365 youth. Difference-in-differences regression analyses evaluated pre-disaster (2005-2011) and post-disaster (2013-2019) changes.

RESULTS

There were 83,442 (34.7 %) adolescents (51.2 % female, 18.1 % non-Hispanic White) located in 6 districts exposed to Hurricane Sandy and 156,923 (65.3 %) adolescents located in 13 non-exposed districts. Exposure was associated with differences in substance use, physical (in)activity, and risky sexual behaviors, but not mental health outcomes. Mental health did not moderate the association between disaster exposure and health behaviors. Hispanic adolescents and those identifying as Other races/ethnicities were most vulnerable to post-disaster negative health outcomes.

LIMITATIONS

Study limitations include questionnaire design, cross-sectional data, sampling, and possible response biases.

CONCLUSIONS

Findings provide critical information about youth mental health and health behaviors following disasters, as well as how youth may differ in their responses. Findings provide guidance for early identification and resource allocation for youth at higher risk for post-disaster health issues.

Greater perceived stress and lower cortisol concentration increase the odds of depressive symptoms among adolescents

BACKGROUND

Adolescent depression is a major public health concern. Although stress has been linked to more severe depression, its association with mild depression among adolescents is not understood. This study assesses the relationship between perceived stress and cortisol (a physiologic measure of stress) and examines the relationships between these stress measures and depressive symptoms among adolescents 13-19 years of age.

METHODS

Stress was measured with the Perceived Stress Scale-10 and through salivary sampling for cortisol four times throughout the day. The Patient Health Questionnaire-9 was used to measure depressive symptoms (range 0-27), where ≥5 indicated the threshold for experiencing at least mild depressive symptoms. Spearman coefficients and multiple logistic regression models were used to examine the relationships between our variables of interest.

RESULTS

The mean age of the 73 participants in our study was 15.82 years. 49 % of the participants reported depressive symptoms (PHQ-9 score ≥ 5). Both higher perceived stress (odds ratio [OR] = 1.11, p = 0.022) and lower cortisol (area-under-the curve; AUCG) (OR = 0.99, p = 0.009) were associated with increased odds of having depressive symptoms.

LIMITATIONS

Few participants had moderate to severe PHQ-9 depression, therefore our study reported findings on mild depression or greater.

CONCLUSIONS

Perceived stress and cortisol appear to reflect distinct, independent components of the stress experience. However, both greater perceived stress and less circulating cortisol may indicate difficulties in regulating stress as potential factors underlying depressive symptoms. Future research should focus on the different types of adolescent stressors and the importance of routine screening of stress and depression, including mild depression.

Non-suicidal self-injury trajectories among adolescents during the COVID-19 pandemic: The role of parenting dimensions and stress reactions

BACKGROUND

The literature on the trajectories of NSSI behavior during the pandemic is scarce and mainly short-term. Furthermore, studies have not explored the buffering mechanisms that may have altered risk trajectories during this vulnerable period. This study aims to analyze the univariate change of NSSI during adolescence and to examine the alteration of the univariate growth due to the time-varying effect of COVID-19-related stress, parenting dimensions (i.e., positive and negative parenting), and their interaction.

METHODS

Participants included 830 Italian adolescents (44.2 % females; Mage = 14.52; SD = 0.80), who participated in at least one time point of data collection, from a three-wave longitudinal study (T1: from December 2019 to January 2020; T2: December 2020; T3: December 2021).

RESULTS

The Latent Growth Curve Analyses show a linear increase in NSSI over time. In regards to time-varying, at T1, the results highlight that higher levels of negative parenting are associated with higher levels of NSSI at the same time point. Instead, at T2, results show that pandemic stress is associated with higher levels of NSSI at T2. Regarding the interaction effect, positive parenting significantly buffered the effect of COVID-19 stress on NSSI at both T2 and T3.

LIMITATIONS

Only some dimensions of parenting style (i.e., positive and negative parenting) are included.

CONCLUSIONS

This study attempts to deepen the trajectory of NSSI behavior during the two years of the pandemic and examine the changes caused by the time-varying effects, thus providing suggestions for designing programs to prevent engagement in NSSI.

Mediating effect of social support and resilience between loneliness and depression in older adults: A systematic review and meta-analytic structural equation modeling

BACKGROUND

Loneliness is a powerful stressor for depression in older adults, and resilience and social support may mediate this relationship, while the evidence is limited. Hence, our study aims to explore the mediating role of social support and resilience between loneliness and depression and to test possible moderators.

METHODS

We searched 12 databases without language and publish time restrictions and obtained the correlation coefficients. This review constructed two-stage meta-analytical structural equality modeling (MASEA) to test the mediating effect of social support and resilience. Additionally, use one-stage MASEA to test the moderator effect of women proportion, published year, and country of study.

RESULTS

This study included 53 studies and 40, 929 older adults. Loneliness directly affected depression (β = 0.28, 95 % CI: 0.20, 0.36). Social support (β = 0.06, 95 % CI: 0.02, 0.09) and resilience (β = 0.15, 95 % CI: 0.12, 0.18) mediated the relationship. The proportion of women in the sample was moderator (χ2(5) = 11.10, p = 0.05). When the proportion exceeded 60 %, the path coefficient of loneliness and social support (β = -0.45, SE = 0.055) was larger than that of the subgroup below 60 % (β = -0.32, SE = 0.041).

LIMITATIONS

It was indefinite whether the evidence would be supported in longitudinal designs. Influenced by the original research data, it is impossible to calculate the model parameters of gender discrepancy.

CONCLUSIONS

Health aging policy-makers adopting social support and resilience intervention will help strengthen the coping skills of older adults confronting loneliness and reduce the risk of depression.

Identifying trajectories of change in sleep disturbance during psychological treatment for depression

BACKGROUND

Sleep disturbance may impact response to psychological treatment for depression. Understanding how sleep disturbance changes during the course of psychological treatment, and identifying the risk factors for sleep disturbance response may inform clinical decision-making.

METHOD

This analysis included 18,915 patients receiving high-intensity psychological therapy for depression from one of eight London-based Improving Access to Psychological Therapies (IAPT) services between 2011 and 2020. Distinct trajectories of change in sleep disturbance were identified using growth mixture modelling. The study also investigated associations between identified trajectory classes, pre-treatment patient characteristics, and eventual treatment outcomes from combined PHQ-9 and GAD-7 metrics used by the services.

RESULTS

Six distinct trajectories of sleep disturbance were identified: two demonstrated improvement, while one showed initial deterioration and the other three groups displayed only limited change in sleep disturbance, each with varying baseline sleep disturbance. Associations with trajectory class membership were found based on: gender, ethnicity, employment status, psychotropic medication use, long-term health condition status, severity of depressive symptoms, and functional impairment. Groups that showed improvement in sleep had the best eventual outcomes from depression treatment, followed by groups that consistently slept well.

LIMITATION

Single item on sleep disturbance used, no data on treatment adherence.

CONCLUSIONS

These findings reveal heterogeneity in the course of sleep disturbance during psychological treatment for depression. Closer monitoring of changes in sleep disturbance during treatment might inform treatment planning. This includes decisions about when to incorporate sleep management interventions, and whether to change or augment therapy with interventions to reduce sleep disturbance.

Preference for solitude paradox: The psychological influence of social isolation despite preference

BACKGROUND

Although a preference for solitude (PS) may mitigate the negative effects of social isolation (SI) owing to the enjoyment of time alone, its impact on mental health and its underlying factors remain unclear.

METHODS

An Internet survey was conducted with 9000 individuals aged 20-79 years in September 2023 and the analyses were performed across three generations. SI was defined as contact with non-cohabitating family members or relatives and friends/neighbors less than once a week. The PS scale, which was used to assess whether a person preferred spending time alone, stratified respondents into three PS-level groups. Mental health status was evaluated using the K6 (distress symptoms), the WHO-5 (well-being), and the UCLA Loneliness Score (severity of loneliness) as the main outcomes. The mediation analyses assessed whether troublesomeness in socializing, a potential negative aspect of PS, could explain the association between PS and mental health status.

RESULTS

A mixed-design two-way analysis of covariance showed that both SI and PS had significant main effects on all outcomes without interactions across generations, indicating that SI and higher PS were associated with poor mental health status. The association between higher PS and poor mental status was mediated by socializing troublesomeness across generations.

LIMITATIONS

The cross-sectional design prevented making causal inferences from the results. Additionally, sampling bias from Internet surveys may limit the generalizability of the results.

CONCLUSIONS

The results confirmed that there is no protective effect of PS on social isolation-related poor mental health. The hassle of socializing may partly explain why people with a higher PS experience poor mental status, including greater loneliness.

The mediating role of family functioning between childhood trauma and depression severity in major depressive disorder and bipolar disorder

BACKGROUND

Childhood trauma (CT) and family functioning exert significant influences on the course and long-term outcome of major depressive disorder (MDD) and bipolar disorder (BD) patients. Hence, we examined the intricate relationship between CT, family function, and the severity of depressive episodes in MDD and BD patients.

METHODS

562 patients with depressive episodes (336 MDD and 226 BD) and 204 healthy controls (HCs) were included in this retrospective study. The 17-item Hamilton Depression Rating Scale (HAMD-17), Childhood Trauma Questionnaire (CTQ), and Family Adaptability and Cohesion Evaluation Scale (FACES II-CV) were assessed. Pearson correlation analysis and mediation analysis were performed.

RESULTS

CT had both a direct and indirect impact on depression severity in MDD and BD groups. In MDD, family adaptability mediated the impact of all CT subtypes on depression severity (Effect = 0.113, [0.030, 0.208]). In BD, family cohesion played a mediating role between emotional neglect (EN) and HAMD-17 scores (Effect = 0.169, [0.008, 0.344]). Notable differences were observed in onset age, illness duration, episode frequency, family history, and CT subtypes between MDD and BD (P < 0.05).

LIMITATIONS

This study has several limitations including recall bias, lack of objective family functioning measures, small sample size, and cross-sectional design.

CONCLUSIONS

Family functioning mediated the impact of CT on depressive symptoms severity in MDD and BD patients. MDD patients with a history of CT exhibited reduced family adaptability, while BD patients with a history of EN had weaker familial emotional bonds. Our findings highlighted the importance of family-focused preventive interventions in mitigating the long-term effects of CT.

Electrophysiological predictors of early response to antidepressants in major depressive disorder

BACKGROUND

Psychomotor retardation (PMR) is a core feature of major depressive disorder (MDD), which is characterized by abnormalities in motor control and cognitive processes. PMR in MDD can predict a poor antidepressant response, suggesting that PMR may serve as a marker of the antidepressant response. However, the neuropathological relationship between treatment outcomes and PMR remains uncertain. Thus, this study examined electrophysiological biomarkers associated with poor antidepressant response in MDD.

METHODS

A total of 142 subjects were enrolled in this study, including 49 healthy controls (HCs) and 93 MDD patients. All participants performed a simple right-hand visuomotor task during magnetoencephalography (MEG) scanning. Patients who exhibited at least a 50 % reduction in disorder severity at the endpoint (>2 weeks) were considered to be responders. Motor-related beta desynchronization (MRBD) and inter- and intra-hemispheric functional connectivity were measured in the bilateral motor network.

RESULTS

An increased MRBD and decreased inter- and intra-hemispheric functional connectivity in the motor network during movement were observed in non-responders, relative to responders and HCs. This dysregulation predicted the potential antidepressant response.

CONCLUSION

Abnormal local activity and functional connectivity in the motor network indicate poor psychomotor function, which might cause insensitivity to antidepressant treatment. This could be regarded as a potential neural mechanism for the prediction of a patient's treatment response.

Individualized gray matter morphological abnormalities uncover two robust transdiagnostic biotypes

Psychiatric disorders exhibit a shared neuropathology, yet the diverse presentations among patients necessitate the identification of transdiagnostic subtypes to enhance diagnostic and treatment strategies. This study aims to unveil potential transdiagnostic subtypes based on personalized gray matter morphological abnormalities. A total of 496 patients with psychiatric disorders and 255 healthy controls (HCs) from three distinct datasets (one for discovery and two for validation) were enrolled. Individualized gray matter morphological abnormalities were determined using normative modeling to identify transdiagnostic subtypes. In the discovery dataset, two transdiagnostic subtypes with contrasting patterns of structural abnormalities compared to HCs were identified. Reproducibility and generalizability analyses demonstrated that these subtypes could be generalized to new patients and even to new disorders in the validation datasets. These subtypes were characterized by distinct disease epicenters. The gray matter abnormal pattern in subtype 1 was mainly linked to excitatory receptors, whereas subtype 2 showed a predominant association with inhibitory receptors. Furthermore, we observed that the gray matter abnormal pattern in subtype 2 was correlated with transcriptional profiles of inflammation-related genes, while subtype 1 did not show this association. Our findings reveal two robust transdiagnostic biotypes, offering novel insights into psychiatric nosology.

Self-esteem mediates child abuse predicting adulthood anxiety, depression, and substance use symptoms 18 years later

According to biopsychosocial models, experiencing parental child abuse increases susceptibility to adulthood psychopathology. However, there is a paucity of studies examining potential mechanisms of the parental child abuse and adulthood psychopathology relationship. The purpose of the current study was to determine if Time 2 (T2) trait self-esteem mediated levels of Time 1 (T1) retrospectively recalled parental child abuse predicting (T3) past-year major depressive disorder (MDD), generalized anxiety disorder (GAD), panic disorder (PD), alcohol use disorder (AUD), and substance use disorder (SUD) symptoms. The 18-year Midlife Development in the United States (MIDUS) study included participants (N = 3294; T1 average age of 45.62 years) assessed at three different time points, each spaced about nine years apart. We performed structural equation mediation modeling analyses to determine how maternal and paternal child abuse at T1 would independently predict T3 MDD, GAD, PD, AUD, and SUD symptoms. We also examined whether T2 self-esteem mediated these relations while controlling for adulthood T1 psychopathology symptoms, demographics, socioeconomic status, somatic symptoms, and parental psychopathology. Consistent with our hypotheses, higher T1 maternal and paternal abuse predicted increased T3 GAD, PD, AUD, and SUD symptoms via diminished T2 self-esteem as the mediator (% proportion mediated = 33.0-100). However, childhood paternal, but not maternal, abuse predicted adulthood MDD symptoms via reduced self-esteem. Findings remained after adjusting for covariates. Our research highlights the importance of understanding retrospectively recalled parental child abuse-adulthood psychopathology relations, their potential mechanisms, and self-esteem as a malleable treatment target for adults with heightened child abuse.

Exploring the mediating role of the ventral attention network and somatosensory motor network in the association between childhood trauma and depressive symptoms in major depressive disorders

BACKGROUND

Childhood trauma is closely tied to adult depression, but the neurobiological mechanisms remain unclear. Previous studies suggested associations between depression and large-scale brain networks such as the Ventral Attention Network (VAN) and Somatosensory Motor Network (SMN). This study hypothesized that functional connectivity (FC) within and between these networks mediates the link between childhood trauma and adult depression.

METHODS

The Childhood Trauma Questionnaire (CTQ) assessed developmental experiences, and the Hamilton Rating Scale for Depression (HAMD-17) gauged depressive symptoms. Resting-state functional magnetic resonance imaging (fMRI) analyzed FC within and between the VAN and SMN.

RESULTS

Depression group exhibited significantly higher HAMD and CTQ scores, as well as elevated FC within the VAN and between the VAN and SMN (P < 0.05). Positive correlations were found between HAMD total score and FC within the VAN (P < 0.05, r = 0.35) and between the VAN and SMN (P < 0.05, r = 0.34), as well as with CTQ total score (P < 0.05, r = 0.27). Positive correlations were also observed between CTQ total score and FC within the VAN (P < 0.05, r = 0.31) and between the VAN and SMN (P < 0.05, r = 0.29). In the mediation model, FC within and between the VAN and SMN significantly mediated childhood trauma and depression.

LIMITATIONS

The cross-sectional design limits causal inference. The sample size for different trauma types is relatively small, urging caution in generalizing findings.

CONCLUSIONS

The study underscores the association between depression severity, VAN dysfunction, abnormal VAN-SMN FC, and childhood trauma. These findings contribute to understanding the neurobiological mechanisms underlying childhood trauma and depression.

The effect of digital interventions on attention deficit hyperactivity disorder (ADHD): A meta-analysis of randomized controlled trials

BACKGROUND

Attention deficit hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder characterized by symptoms of inattention, hyperactivity, and impulsivity. Individuals with ADHD often encounter heightened emotional and behavioral challenges. This study aims to conduct a meta-analysis of the efficacy of digital interventions in improving symptoms of ADHD.

METHODS

This study searched 6 databases for English articles from database construction until December 4, 2023. Randomized controlled trials employing digital interventions for ADHD were gathered. Following the Cochrane Collaboration criteria, Review Manager 5.3 software was utilized to evaluate the risk of bias present in the included papers. Mean differences for post-intervention and follow-up data were standardized using Stata 18.0 software. Subgroup analysis was employed to investigate the sources of heterogeneity. The study adhered to the PRISMA guidelines and was registered on the PROSPERO platform (CRD42024504134).

RESULTS

This review included a total of 25 randomized controlled trials (RCTs). The combined study population comprised 1780 cases. In the digital intervention groups, there was a significant decrease in overall ADHD symptoms (SMD = -0.33; 95 % CI = [-0.51, -0.16]) compared to the control groups. Furthermore, there was a significant reduction in inattention symptoms (SMD = -0.31; 95 % CI = [-0.46, -0.15]) and hyperactivity/impulsivity symptoms (SMD = -0.15; 95 % CI = [-0.29, -0.02]) within the digital intervention groups.

CONCLUSION

The digital interventions proved beneficial for individuals with ADHD by alleviating symptoms of ADHD, inattention, and hyperactivity/impulsivity.

Identifying neuroimaging biomarkers in major depressive disorder using machine learning algorithms and functional near-infrared spectroscopy (fNIRS) during verbal fluency task

One of the most prevalent psychiatric disorders is major depressive disorder (MDD), which increases the probability of suicidal ideation or untimely demise. Abnormal frontal hemodynamic changes detected by functional near-infrared spectroscopy (fNIRS) during verbal fluency task (VFT) have the potential to be used as an objective indicator for assessing clinical symptoms. However, comprehensive quantitative and objective assessment instruments for individuals who exhibit symptoms suggestive of depression remain undeveloped. Drawing from a total of 467 samples in a large-scale dataset comprising 289 MDD patients and 178 healthy controls, fNIRS measurements were obtained throughout the VFT. To identify unique MDD biomarkers, this research introduced a data representation approach for extracting spatiotemporal features from fNIRS signals, which were subsequently utilized as potential predictors. Machine learning classifiers (e.g., Gradient Boosted Decision Trees (GBDT) and Multilayer Perceptron) were implemented to assess the ability to predict selected features. The mean and standard deviation of the cross-validation indicated that the GBDT model, when combined with the 180-feature pattern, distinguishes patients with MDD from healthy controls in the most effective manner. The accuracy of correct classification for the test set was 0.829 ± 0.053, with an AUC of 0.895 (95 % CI: 0.864-0.925) and a sensitivity of 0.914 ± 0.051. Channels that made the most important contribution to the identification of MDD were identified using Shapley Additive Explanations method, located in the frontopolar area and the dorsolateral prefrontal cortex, as well as pars triangularis Broca's area. Assessment of abnormal prefrontal activity during the VFT in MDD serves as an objectively measurable biomarker that could be utilized to evaluate cognitive deficits and facilitate early screening for MDD. The model suggested in this research could be applied to large-scale case-control fNIRS datasets to detect unique characteristics of MDD and offer clinicians an objective biomarker-based analytical instrument to assist in the evaluation of suspicious cases.

Resting-state functional magnetic resonance imaging alterations in first-degree relatives of individuals with bipolar disorder: A systematic review

BACKGROUND

Relatives of individuals with bipolar disorder (BD) are at higher risk of developing the disorder. Identifying brain alterations associated with familial vulnerability in BD can help discover endophenotypes, which are quantifiable biological traits more prevalent in unaffected relatives of BD (BD-RELs) than the general population. This review aimed at expanding our knowledge on endophenotypes of BD by providing an overview of resting-state functional magnetic resonance imaging (rs-fMRI) alterations in BD-RELs.

METHODS

A systematic search of PubMed, Scopus, and Web of Science was performed to identify all available rs-fMRI studies conducted in BD-RELs up to January 2024. A total of 18 studies were selected. Six included BD-RELs with no history of psychiatric disorders and 10 included BD-RELs that presented psychiatric disorders. Two investigations examined rs-fMRI alterations in BD-RELs with and without subthreshold symptoms for BD.

RESULTS

BD-RELs presented rs-fMRI alterations in the cortico-limbic network, fronto-thalamic-striatal circuit, fronto-occipital network, and, to a lesser extent, in the default mode network. This was true both for BD-RELs with no history of psychopathology and for BD-RELs that presented psychiatric disorders. The direct comparison of rs-fMRI alterations in BD-RELs with and without psychiatric symptoms displayed largely non-overlapping patterns of rs-fMRI abnormalities.

LIMITATIONS

Small sample sizes and the clinical heterogeneity of BD-RELs limit the generalizability of our findings.

CONCLUSIONS

The current literature suggests that first-degree BD-RELs exhibit rs-fMRI alterations in brain circuits involved in emotion regulation, cognition, reward processing, and psychosis susceptibility. Future studies are needed to validate these findings and to explore their potential as biomarkers for early detection and intervention.

Impaired cognitive flexibility in major depressive disorder: Evidences from spatial-temporal ERPs analysis

BACKGROUND

Major Depressive Disorder (MDD) may exhibit impairments in cognitive flexibility. This study investigated whether the cognitive flexibility deficits in MDD are evident across general stimuli or specific to emotional stimuli, while exploring the underlying neuropsychological mechanism.

METHODS

A total of 41 MDD patients and 42 healthy controls (HCs) were recruited. Event-related potentials (ERPs) were recorded when participants performed a non-emotional and an emotional task switching paradigm (N-ETSP and ETSP), both of which assessed cognitive flexibility. Microstate and source localization analysis were applied to reflect brain activity among different brain areas during task switching.

RESULTS

In the N-ETSP, MDD group showed larger P3 difference wave (Pd3) amplitudes and longer P2 difference wave (Pd2) latencies. In the ETSP, MDD group displayed smaller N2 difference wave (Nd2) amplitudes and larger Pd3 amplitudes. The comparison of sLORETA images of emotional switch task and emotional repeat task showed that MDD group had increased activation in the precentral gyrus in microstate2 of the P2 time window and had reduced activation in the middle occipital gyrus in microstate3 of the N2 time window.

LIMITATIONS

The cross-sectional design failed to capture dynamic changes in cognitive flexibility in MDD.

CONCLUSIONS

MDD demonstrated impaired cognitive flexibility respond to both non-emotional and emotional stimuli, with greater impairment for negative emotional stimuli. These deficits are evident in abnormal ERPs component during the early attention stage and the later task preparation stage. Furthermore, abnormal emotional switching cost in MDD appears to be related to early abnormal perceptual control in the parietal-occipital cortex.

Cyclothymic affective temperament and low positive attitude coping strategies as predictors of comorbid depressive symptomatology in adult ADHD patients

INTRODUCTION

Attention deficit hyperactivity disorder (ADHD) in adults could be frequently underdiagnosed due to concomitant psychiatric disorders, including depressive symptomatology, which could determine inappropriate treatments. Our study aims at clinically characterizing adult ADHD with or without depressive symptomatology in order to identify the relationship with specific affective temperamental profiles and coping strategies.

METHODS

A total of 225 outpatients consecutively afferent to our outpatient adult ADHD service since September 2019 were retrospectively screened for eligibility and administered Beck Depression Inventory-II (BDI-II), Coping Orientation to Problems Experienced Inventory (COPE-NV) and Temperament Evaluation of the Memphis, Pisa, Paris and San Diego (TEMPS-M).

RESULTS

64.7 % of patients displayed a significant comorbid depressive symptomatology. According to the multivariate linear regression model, depressive levels were positively predicted by TEMPS-M cyclothymic subscale (B = 0.567, p = 0.004) and negatively predicted by COPE-NVI "positive attitude" subscale (B = -0.438, p = 0.024) (R = 0.496, R2 = 0.246, F(2,66) = 10.747, p < 0.001).

LIMITATION

While considering the results, it should be taken in consideration that: the assessment was carried out only at baseline, our sample is constituted only by adult ADHD patients and mostly without a previous ADHD diagnosis, the presence of a discrepancy between the rates of ADHD subtypes, the absence of a healthy control group and emotional dysregulation was not directly assessed.

CONCLUSION

Affective temperamental profiles and coping strategies could help in clinically characterizing and personalizing treatment in adult comorbid ADHD-depressive symptomatology patients. Further research is warranted to explore the efficacy of targeted psychotherapeutic and pharmacological interventions within this ADHD sub-sample.

Categorising interventions to enhance vaccine uptake or reduce vaccine hesitancy in the United Kingdom: A systematic review and meta-analysis

BACKGROUND

Vaccination is one of the most important public health interventions to combat infectious disease. However, vaccine hesitancy prevents us reaching the global target of vaccine uptake (e.g., 75 % of influenza vaccination in at-risk groups). This review summarises all interventions designed to reduce vaccine hesitancy and increase vaccine uptake for all types of vaccines offered to adults (≥18 years) since 2000, in the United Kingdom (UK).

METHODS

PubMed, Cochrane Reviews, CINAHL EBSCO, and Scopus were searched (September 19, 2023). The PRISMA Checklist 2020 was used for quality checking. Data from randomised-controlled trials (RCTs) were analysed with a meta-analysis and narrative analysis. In all included studies, a narrative synthesis was undertaken to summarise, evaluate and characterisethe reported behaviour change interventions into four categories: organisational-level, public demand, provider-level, and multidimensional interventions. Findings are evaluated based on the MINDSPACE framework to understand the possible psychological mechanisms underpinning the interventions.

FINDINGS

A total of 9,842 articles were identified, 50 met the inclusion criteria. Interventions aimed to boost vaccine uptake or reduce hesitancy of influenza (50 %), COVID-19 (32 %), hepatitis B (6 %), and other vaccines. A meta-analysis was conducted for nine RCTs evaluating various interventions impact on vaccine uptake. The pooled effect was statistically significant (OR with 95 % CI = 1.23 [1.07 to 1.41]). Providing certain and understandableinformation and using a reminder system with personal messages or letters were the most frequently documented and effective interventions to enhance public demand (enhance information salience). Organisational level interventions intended to make vaccinations more accessible (e.g., providing vaccination at alternative places or times). Provider-oriented interventions encouraged healthcare workers to focus on reducing vaccine hesitancy or enhancing vaccine uptake.

INTERPRETATION

Among the main MINDSPACE techniques, enhancing the salience of vaccine information and priming vaccination by improving access were identified as the most applied and effective interventions in the UK.

Altered static brain activity and functional connectivity after heat stroke

This study aimed to investigate the alteration of brain function based on resting-state functional MRI in patients after heat stroke. This study included 10 cases of patients after heat stroke and 10 cases of healthy controls. Abnormal brain function was calculated using amplitude of low-frequency fluctuations (ALFF) and degree centrality analysis, as well as functional connectivity analysis based on regions of interest (ROI). Correlation analyses were performed to evaluate the association between brain function changes and clinical scales. Combining ALFF and degree centrality results, the decreased brain regions included the left cuneus and the right angular gyrus, while the increased brain regions included the right cerebellar_Crus1. Using the left cuneus with significant differences in ALFF and degree centrality as ROI, the functional connectivity results revealed decreased brain regions including bilateral lingual gyrus, bilateral postcentral cingulate gyrus, and left precentral gyrus. The degree centrality value of the right cerebellar_Crus1 was positively correlated with glasgow coma scale (GCS) scores ( r  = 0.726, P  = 0.027), and the functional connectivity value of the right posterior cingulate gyrus was positively correlated with GCS scores ( r  = 0.717, P  = 0.030). Heat stroke patients exhibit abnormal activity in multiple brain regions, which has important clinical significance for evaluating the severity of the disease.

The protective effect of S-adenosylmethionine on chronic adolescent stress-induced depression-like behaviors by regulating gut microbiota

The efficacy and tolerability of current antidepressants for adolescent depression are inadequate. S-adenosylmethionine (SAMe), known for its effectiveness and minimal side effects in adult depression, remains unstudied in adolescents. This study explored the potential of SAMe to address depression-like behaviors in juvenile rats induced by chronic unpredictable mild stress (CUMS), with a focus on gut microbiome interactions. Adolescent male Wistar rats were subjected to a 4-week CUMS regimen and received daily intraperitoneal injections of 300 mg/kg SAMe. Behavioral assessments included the sucrose preference test, elevated plus maze test, open field test, and Y-maze test. Histopathological changes of the hippocampus and colon were observed by Nissl staining and hematoxylin and eosin staining, respectively. Gut microbiome composition was analyzed using Accurate 16S absolute quantification sequencing. The results showed that SAMe significantly improved behavioral outcomes, reduced histopathological damages in hippocampal neurons and colon tissues, and modulated the gut microbiota of depressed rats. It favorably altered the ratio of Bacteroidetes to Firmicutes, decreased the absolute abundance of Deferribacteres, and adjusted levels of key microbial genera associated with depression-like behaviors. These results suggested that SAMe could effectively counter depression-like behaviors in CUMS-exposed adolescent rats by mitigating hippocampal neuronal and colon damage and modulating the gut microbiota. This supports SAMe as a viable and tolerable treatment option for adolescent depression, highlighting the importance of the gut-brain axis in therapeutic strategies.

Developmental functions of microglia: Impact of psychosocial and physiological early life stress

Microglia play numerous important roles in brain development. From early embryonic stages through adolescence, these immune cells influence neuronal genesis and maturation, guide connectivity, and shape brain circuits. They also interact with other glial cells and structures, influencing the brain's supportive microenvironment. While this central role makes microglia essential, it means that early life perturbations to microglia can have widespread effects on brain development, potentially resulting in long-lasting behavioral impairments. Here, we will focus on the effects of early life psychosocial versus physiological stressors in rodent models. Psychosocial stress refers to perceived threats that lead to stress axes activation, including prenatal stress, or chronic postnatal stress, including maternal separation and resource scarcity. Physiological stress refers to physical threats, including maternal immune activation, postnatal infection, and traumatic brain injury. Differing sources of early life stress have varied impacts on microglia, and these effects are moderated by factors such as developmental age, brain region, and sex. Overall, these stressors appear to either 1) upregulate basal microglia numbers and activity throughout the lifespan, while possibly blunting their responsivity to subsequent stressors, or 2) shift the developmental curve of microglia, resulting in differential timing and function, impacting the critical periods they govern. Either could contribute to behavioral dysfunctions that occur after the resolution of early life stress. Exploring how different stressors impact microglia, as well as how multiple stressors interact to alter microglia's developmental functions, could deepen our understanding of how early life stress changes the brain's developmental trajectory. This article is part of the Special Issue on "Microglia".

Reduced hippocampal volume unmasks distinct impacts of cumulative adverse childhood events (ACEs) on psychotic-like experiences in late childhood and early adolescence

Stress is associated with increased vulnerability to psychosis, yet the mechanisms that contribute to these effects are poorly understood. Substantial literature has linked reduced hippocampal volume to both psychosis risk and early life stress. However, less work has explored the direct and indirect effects of stress on psychosis through the hippocampus in preclinical samples- when vulnerability for psychosis is accumulating. The current paper leverages the Adolescent Brain Cognitive Development (ABCD) Study sample to examine whether objective psychosocial stressors, specifically adverse childhood experiences (ACE), are linked to vulnerability for psychosis, measured by psychotic-like experiences (PLE) severity, in late childhood and early adolescence, both directly and indirectly through the deleterious effects of stress on the hippocampus. Baseline data from 11,728 individuals included previously examined and validated items to assess ACE exposure, hippocampal volume, and PLE severity - a developmentally appropriate metric of risk for psychosis. Objective psychosocial stress exposure in childhood was associated with elevated PLE severity during the transition from childhood to adolescence. Hippocampal volume was significantly reduced in individuals with greater PLE severity and greater childhood stress exposure compared to peers with low symptoms or low stress exposure. These findings are consistent with a hippocampal vulnerability model of psychosis risk. Stress exposure may cumulatively impact hippocampal volume and may also reflect a direct pathway of psychosis risk. Objective psychosocial stress should be considered as a treatment target that may impact neurodevelopment and psychosis risk.

Lifestyle-specific association between adversity dimensions with group-based mental health trajectories

BACKGROUND

Childhood adversity (CA) has a substantial correlation with mental health problems. Keeping a healthy lifestyle is essential for mental health interventions; it is unclear, however, how healthy lifestyle affect the relationship between CA and persistent mental health problems.

METHODS

This longitudinal study (n = 1112, 54.5 % male) collected the data on CA (measured through three dimensions: threat, deprivation and unpredictability), mental health problems, and lifestyle factors. Group-based multi-trajectory modeling (GBMTM) was utilized to estimate trajectories for three mental health problems (i.e., depression, ADHD and overanxiety). Close friendships, regular physical activity, appropriate sleep duration, shorter screen time, and healthy eating were combined to establish a healthy lifestyle score (which ranges from 0 to 5). Higher scores indicated a healthier lifestyle.

RESULTS

Three trajectories of mental health problems were identified: persistently low risk (24.9 %), persistently medium-high risk (50.0 %), and persistently high risk (25.1 %). Multinomial logistic regression showed that high adversity (high-threat: β = 2.01, P < 0.001; high-deprivation: β = 1.03, P < 0.001; high-unpredictability: β = 0.83, P = 0.001; high-overall adversity: β = 1.64, P < 0.001) resulted in a persistently high risk of mental health problems; these outcomes were maintained after robust control for covariates. Further lifestyle stratification, null associations were observed among children with a healthy lifestyle, irrespective of their gender; however, after controlling for covariates, the above associations remained relatively stable only among boys.

LIMITATIONS

The generalizability of our findings is restricted by 1) limited racial diversity and 2) missing data.

CONCLUSIONS

This finding underscores the benefits of promoting a healthy lifestyle in children to prevent persistent mental health problems caused by CA.

Ethnic-racial disparities in poisoning cases: analysis of drugs of abuse, medicines and pesticides in Brazil

In Brazil, ethnic-racial inequalities exist in all fields, obstructing access to goods, services, and opportunities, including healthcare services. However, there are no apparent studies that assess, at a national level, ethnic-racial disparities in poisoning cases, emphasizing skin color as a determining factor. The study aimed to examine the relationship between race/ethnicity and general poisoning cases, by medications, pesticides, and drug of abuse in Brazilian states. Poisoning cases data were extracted for the years 2017, 2018, and 2019. Notification data for general poisoning cases and toxic agents were collected: medications, pesticides, and drugs of abuse. Data were categorized between whites and non-whites (blacks, browns, and indigenous) and without information on skin color/ethnicity. Rates of poisonings amongst ethnic-racial groups and cases of not declared skin color as well as relative risk (RR) of poisoning among non-whites were calculated. All states in the North, Northeast (states with the worst Human Development Index), Midwest, and 2 states in the Southeast exhibited higher rates of poisoning cases per 100,000 inhabitants among non-whites. The RR values for nonwhite individuals were higher in the North and Northeast regions for all types of poisonings. The type of poisoning cases that presented the highest RR for non-whites over the 3 years was drugs of abuse (2-2.44), when compared to other types of poisonings from pesticides (2-2.33) and medications (1.5-1.91). The spatial distribution of poisoning cases rates and RR of nonwhite population support public policies to reduce socioeconomic and environmental inequalities.

The inflammatory underpinning of depression: An historical perspective

Over the last thirty years, substantial evidence has accumulated in support of the hypothesis that dysregulation of inflammatory processes plays a critical role in the pathophysiology of depression. This review traces the evolution of research supporting this link, discussing key findings from several major investigative fronts: Alterations in inflammatory markers associated with depression; Mood changes following the exogenous administration of inflammatory challenges; The anti-inflammatory properties of traditional antidepressants and the promising antidepressant effects of anti-inflammatory drugs. Additionally, it explores how inflammatory processes interact with specific brain regions and neurochemical systems to drive depressive pathology. A thorough analysis of the 100 most-cited experimental studies on the topic ensures a comprehensive, transparent and unbiased collection of references. This methodological approach offers a panoramic view of the inflammation-depression nexus, shedding light on the complexity of its mechanisms and their connections to psychiatric categorizations, symptoms, demographics, and life events. Synthesizing insights from this extensive research, the review presents an integrative model of the biological foundations of inflammation-associated depression. It posits that we have reached a critical juncture where the translation of this knowledge into personalized immunomodulatory treatments for depression is not just possible, but imperative.

Exploring weight-related self-monitoring as a potential risk factor for eating disorder symptoms in adults - A systematic review and meta-analysis

OBJECTIVE

Weight-related self-monitoring (WRSM), which involves the intentional tracking of body weight metrics, has been considered a potential risk factor for eating disorders. Therefore, the aim of this study was to systematically summarize the current state of the literature and to quantify the possible association between WRSM and eating disorder symptoms in adults.

METHOD

Preregistration was carried out using PROSPERO (ID CRD42022366133). The PubMed, PsycInfo, and Web of Science databases were searched until December 21, 2023. A study had to be 1) be available in English or German, 2) be peer-reviewed and quantitative, 3) include adult participants (age ≥18 years) from the general population, 4) assess eating disorder symptoms via at least one of the following questionnaires: EDI, EAT, FEV, TFEQ, DEBQ, EDE-Q, Munich ED-Quest or IEG, and 5) include WRSM. Data analyses included descriptive analyses and three-level meta-analysis, corrected for correlations, for the global score and the different subscales of the eating disorder questionnaires.

RESULTS

A total of 28 studies (n = 17,370 participants), with an overall fair methodological quality, were included in the systematic review. Out of these studies, nine studies with n = 13,507 participants were ultimately analyzed in the meta-analysis. The three-level meta-analysis did not reveal a significant association between WRSM and the eating disorder global score (r = 0.13, 95% CI [-0.02, 0.28]; p = 0.08), with this pattern also being evident in the subgroup analysis (diet monitoring).

DISCUSSION

WRSM alone does not generally translate into an increased risk of disordered eating symptoms in the general population. We assume that individual factors are likely to determine whether the use of WRSM could lead to eating disorder symptoms. These factors should be accounted for in future research.

Classification of performance validity and symptom validity using the Trauma Symptom Inventory-2

The Trauma Symptom Inventory-Second Edition (TSI-2) is garnering research interest as a symptom validity test in the evaluation of trauma-related disorders. However, there has been limited empirical validation of its validity scales in clinical and forensic real-world settings. This study evaluated the ability of the TSI-2 Atypical Response (ATR) scale to discriminate response bias in cognitive performance and symptom reporting in a large sample of disability and compensation-seeking claimants. This retrospective chart review included 296 adults with a known history of trauma exposure or claimed trauma-related psychological injury who underwent neuropsychological and/or comprehensive psychological assessment in a private neuropsychology clinic. The discriminability of the ATR scale to classify credible versus non-credible cognitive profiles and symptom reporting were analyzed by AUC-ROCs. Overall, the ATR scale demonstrated poor discriminability of assessment validity based on the Word Memory Test, Victoria Symptom Validity Test, and Minnesota Multiphasic Personality Inventory-2-Restructured Form. The ATR scale had fair discriminatory ability of only one of the over-reporting scales (F-r), with an ROC area of .73, p = .001. However, the test publisher's proposed ATR cut-offs of ≥8 for screening, research, and normal groups, and ≥15 in forensic and clinical settings revealed significant issues with sensitivity and specificity. These results suggest that the TSI-2 should be paired with other established performance validity and symptom validity tests in clinical assessments and not be used as the primary or sole indicator of assessment validity.

Of Love and Death: Death Anxiety, Attachment, and Suicide as Experienced by College Students

Drawing from the mental health crisis present on college campuses, we investigate the psychological processes associated with suicidal ideation among undergraduate students. Specifically, we used Terror Management Theory to investigate how individuals who have a history of suicidal ideation handle traditional death anxiety in coordination with Benjamin's theory underlying Interpersonal Reconstructive Therapy to explore specific attachment-based mechanisms that may allow for exceptions to the perceived meaning of death. Results show it was the fantasy of suicide itself, including its relevance in the lives of others, that was used to alleviate fear of death among the suicidal.

Identification of women at high risk of postpartum psychiatric episodes: A population-based study quantifying relative and absolute risks following exposure to selected risk factors and genetic liability

BACKGROUND

We quantified relative and absolute risks of postpartum psychiatric episodes (PPE) following risk factors: Young age, past personal or family history of psychiatric disorders, and genetic liability.

METHODS

We conducted a register-based study using the iPSYCH2012 case-cohort sample. Exposures were personal history of psychiatric episodes prior to childbirth, being a young mother (giving birth before the age of 21.5 years), having a family history of psychiatric disorders, and a high (highest quartile) polygenic score (PGS) for major depression. PPE was defined within 12 months postpartum by prescription of psychotropic medication or in- and outpatient contact to a psychiatric facility. We included primiparous women born 1981-1999, giving birth before January 1st, 2016. We conducted Cox regression to calculate hazard ratios (HRs) of PPE, absolute risks were calculated using cumulative incidence functions.

RESULTS

We included 8174 primiparous women, and the estimated baseline PPE risk was 6.9% (95% CI 6.0%-7.8%, number of PPE cases: 2169). For young mothers with a personal and family history of psychiatric disorders, the absolute risk of PPE was 21.6% (95% CI 15.9%-27.8%). Adding information on high genetic liability to depression, the risk increased to 29.2% (95% CI 21.3%-38.4%) for PPE.

CONCLUSIONS

Information on prior personal and family psychiatric episodes as well as age may assist in estimating a personalized risk of PPE. Furthermore, additional information on genetic liability could add even further to this risk assessment.