Consistency within change: Evaluating the psychometric properties of a widely used predictive-inference task

Rapid adaptation to sudden changes in the environment is a hallmark of flexible human behaviour. Many computational, neuroimaging, and even clinical investigations studying this cognitive process have relied on a behavioural paradigm known as the predictive-inference task. However, the psychometric quality of this task has never been examined, leaving unanswered whether it is indeed suited to capture behavioural variation on a within- and between-subject level. Using a large-scale test-retest design (T1: N = 330; T2: N = 219), we assessed the internal (internal consistency) and temporal (test-retest reliability) stability of the task's most used measures. We show that the main measures capturing flexible belief and behavioural adaptation yield good internal consistency and overall satisfying test-retest reliability. However, some more complex markers of flexible behaviour show lower psychometric quality. Our findings have implications for the large corpus of previous studies using this task and provide clear guidance as to which measures should and should not be used in future studies.

The mechanism of cancer-depression comorbidity

Cancer and depression are closely interrelated, particularly in patients with advanced cancer, who often present with comorbid anxiety and depression for various reasons. Recently, there has been a growing interest in the study of depression in cancer patients, with the aim of assessing the possible triggers, predictors, adverse events, and possible treatment options for depression in several common cancers. The objective of this narrative review is to synthesize the extant literature on the relationship between the occurrence and progression of depression in several common patient categories. The authors conducted a comprehensive review of 75 articles published in PubMed over the past five years. This review was further evaluated in the present paper. Ultimately, it was determined that depression is a prevalent and detrimental phenomenon among cancer patients, particularly those with advanced disease. Consequently, there is a pressing need to prioritize research and interventions aimed at improving the quality of life and psychosocial well-being of cancer patients, including those with advanced disease. The relationship between cancer and depression has been evolving dynamically in recent times. The current research findings indicate a strong association between cancer and depression. However, the direction of causality remains unclear. Focusing on depression in cancer patients may, therefore, be beneficial for these patients.

Gay Dating Apps Usage, Body Dissatisfaction, and Disordered Eating in Chinese Young Gay Men

There is a paucity of research on the links between gay dating apps usage and body dissatisfaction and disordered eating, especially for muscularity dissatisfaction and muscularity-oriented disordered eating in non-Western contexts. Thus, this study aimed to evaluate the associations between gay dating apps usage, body image inflexibility, body dissatisfaction, and disordered eating with the inclusion of both body fat and muscularity dissatisfaction and both thinness-and muscularity-oriented disordered eating in a sample of Chinese young gay men. A total of 247 Chinese young gay men (mean age: 21.92 ± 2.74 years) were recruited. Gay dating apps usage, body fat dissatisfaction, muscularity dissatisfaction, body image inflexibility, and thinness-and muscularity-oriented disordered eating were evaluated. Pearson correlation and mediation analyses were conducted. Gay dating apps usage was positively correlated with body fat dissatisfaction (r = .20, p = .002), muscularity dissatisfaction (r = .17, p = .006), thinness-oriented disordered eating (r = .21, p < .001), and muscularity-oriented disordered eating (r = .29, p < .001), and these relationships could be mediated by body image inflexibility. Findings support technologically-informed prevention and intervention strategies for eating and body image disturbances in gay men in the Chinese context.

Effects of mTBI with loss of consciousness on neurobehavioral symptoms, depression, and insomnia in former collegiate and NFL football athletes

OBJECTIVE

Considering that diagnostic decisions about mTBI are often predicated on clinical symptom criteria, it is imperative to determine which initial presentation features of mTBI have prognostic significance for identifying those at high risk for long-term functional impairment.

SETTING

Zoom interview Participants: Male, former NCAA Division I, and professional-level National Football League (NFL) athletes (n = 177) between the ages of 27 and 85 (M = 54.1, SD = 14.7).

DESIGN

Cross-sectional case-control. Main Measures: History of mild TBI, history of loss of consciousness (LOC), depression symptoms, insomnia, neurobehavioral symptoms.

RESULTS

Number of mTBI exposures did not predict neurobehavioral symptoms (B = 0.21, SE = 0.18, p = 0.23), but number of mTBI + LOC events did (B = 2.27, SE = 0.64, p = <.001). Further analysis revealed that the number of mTBI + LOC events predicted neurobehavioral symptoms indirectly through both depression (B = 0.85, 95% CI = [0.27, 1.52) and insomnia (B = 0.81, 95% CI = [0.3, 1.4]). Further, the direct effect of mTBI + LOC events on neurobehavioral symptoms became non-significant when depression and insomnia were added to the model (B = 0.78, SE = 0.45, p = 0.08).

CONCLUSIONS

Findings support LOC at time of injury as an important predictor of long-term outcomes. Additionally, results suggest depression and insomnia as potential mediators in the association between mTBI + LOC and neurobehavioral symptoms. These findings provide justification for early depression and insomnia symptom monitoring following mTBI + LOC.

The impact of antidepressant treatment on the network structure of neurocognition and core emotional depressive symptoms among depressed individuals with a history of suicide attempt: An 8-week clinical study

BACKGROUND

A more in-depth understanding of the relationship between depressive symptoms, neurocognition and suicidal behavior could provide insights into the prognosis and treatment of major depressive disorder (MDD) and suicide. We conducted a network analysis among depressed patients examining associations between history of suicide attempt (HSA), core emotional major depression disorder, and key neurocognitive domains.

METHOD

Depressed patients (n = 120) aged 18-65 years were recruited from a larger randomized clinical trial conducted at the Douglas Institute in Montreal, Canada. They were randomly assigned to receive one of two antidepressant treatments (i.e., escitalopram or desvenlafaxine) for 8 weeks. Core emotional MDD and key neurocognitive domains were assessed pre-post treatment.

RESULTS

At baseline, an association between history of suicide attempt (HSA) and phonemic verbal fluency (PVF) suggested that HSA patients reported lower levels of the latter. After 8 weeks of antidepressant treatment, HSA became conditionally independent from PVF. Similar results were found for both the HAM-D and the QIDS-SR core emotional MDD/neurocognitive networks.

CONCLUSION

Network analysis revealed a pre-treatment relationship between a HSA and decreased phonemic VF among depressed patients, which was no longer present after 8 weeks of antidepressant treatment.

Actigraphic monitoring of sleep and circadian rest-activity rhythm in individuals with major depressive disorder or depressive symptoms: A meta-analysis

BACKGROUND

Disrupted sleep and rest-activity pattern are common clinical features in depressed individuals. This meta-analysis compared sleep and circadian rest-activity rhythms in people with major depressive disorder (MDD) or depressive symptoms and healthy controls.

METHODS

Eligible studies were identified in five databases up to December 2023. The search yielded 53 studies with a total of 11,115 participants, including 4000 depressed participants and 7115 healthy controls.

RESULTS

Pooled meta-analyses demonstrated that depressed individuals have significantly longer sleep latency (SMD = 0.23, 95 % CI: 0.12 to 0.33) and wake time after sleep onset (SMD = 0.37, 95 % CI: 0.22 to 0.52), lower sleep efficiency (SMD = -0.41, 95 % CI: -0.56 to -0.25), more nocturnal awakenings (SMD = 0.58, 95 % CI: 0.29 to 0.88), lower MESOR (SMD = -0.54, 95 % CI: -0.81 to -0.28), amplitude (SMD = -0.33, 95 % CI: -0.57 to -0.09), and interdaily stability (SMD = -0.17, 95 % CI: -0.28 to -0.05), less daytime (SMD = -0.79, 95 % CI: -1.08 to -0.49) and total activities (SMD = -0.89, 95 % CI: -1.28 to -0.50) when compared with healthy controls.

LIMITATIONS

Most of the included studies reported separate sleep and activity parameters instead of 24-hour rest-activity rhythms. The variabilities among actigraphy devices and the types of participants recruited also impede precise comparisons.

CONCLUSIONS

The findings emerging from this study offered a better understanding of sleep and rest-activity rhythm in individuals with MDD or depressive symptoms. Future studies could advocate for deriving objective, distinctive 24-hour rest-activity profiles contributing to the risk of depression.

PROSPERO REGISTRATION NUMBER

CRD42021259780.

Loneliness and posttraumatic stress in U.S. adolescents: A longitudinal study

BACKGROUND

Loneliness and posttraumatic stress (PTS) are common in adolescence. However, there has been little longitudinal research on their association. To address this deficit, this study examined the longitudinal association between these phenomena in a sample of U.S. school students while also exploring if gender was important in this context.

METHODS

Data were analysed from 2807 adolescents (52.1 % female; age at baseline 11-16 years (M = 12.79)) who were followed over a one-year period. Information was obtained on loneliness in year 1 using a single-item question, while PTS was assessed with the self-report Child Post-Traumatic Stress - Reaction Index (CPTS-RI). A full path analysis was performed to assess the across time associations.

RESULTS

Almost one-third of the students reported some degree of loneliness while most students had 'mild' PTS. In the path analysis, when controlling for baseline PTS and other covariates, loneliness in year 1 was significantly associated with PTS in year 2 (β = 0.06, 95%CI: 0.02, 0.09). Similarly, PTS in year 1 was significantly associated with loneliness in year 2 (β = 0.19, 95%CI: 0.15, 0.23). An interaction analysis further showed that loneliness was higher in girls with PTS than in their male counterparts.

LIMITATIONS

The use of a single-item measure to assess loneliness that used the word 'lonely' may have resulted in underreporting.

CONCLUSION

Loneliness and PTS are bidirectionally associated in adolescence. Efforts to reduce loneliness in adolescence may help in combatting PTS, while clinicians should intervene to address loneliness if detected in adolescents with PTS.

Brief modular anxiety intervention for primary care: Hybrid I pilot randomized controlled trial of feasibility, acceptability, effectiveness, and implementation potential

BACKGROUND

Anxiety is highly prevalent, but undertreated, in primary care. Brief, non-pharmacological interventions are needed. Modular Anxiety Skills Training (MAST), a cognitive-behavioral anxiety intervention, was developed for primary care and tailored for a Veteran sample (MAST-V). The purpose of this mixed methods pilot study was to evaluate MAST-V's feasibility, acceptability, and implementation potential, and preliminarily examine its effectiveness compared to Primary Care Behavioral Health (PCBH) usual care.

METHODS

This hybrid I randomized controlled trial (conducted 2019-2021) assigned 35 primary care patients (Mage = 47, 17 % female, 27 % racial/ethnic minority) with clinically significant anxiety symptoms to receive MAST-V or PCBH usual care. Participants completed validated measures of anxiety symptoms and functional impairment at 0, 4, 8, 12, and 16 weeks.

RESULTS

Participants attended more sessions in MAST-V than usual care. After necessary adjustments to reduce session duration, MAST-V will likely fit within PCBH practice parameters. Participants in both conditions valued treatment, but treatment satisfaction, credibility, and therapeutic alliance were higher for MAST-V. Study therapists achieved high treatment fidelity and rated MAST-V as highly feasible, acceptable, and appropriate for PCBH. They identified ways to address potential barriers to implementation. MAST-V was more effective than usual care in reducing anxiety symptoms and impairment.

LIMITATIONS

This was a small pilot study at a single site using study therapists. Results should be considered preliminary until replicated in a full-scale clinical trial.

CONCLUSIONS

This brief modular anxiety intervention, which was designed with implementation in mind, may help to address the anxiety treatment gap in primary care.

Depression-Anxiety Coupling Strength as a predictor of relapse in major depressive disorder: A CAN-BIND wellness monitoring study report

BACKGROUND

A critical challenge in the study and management of major depressive disorder (MDD) is predicting relapse. We examined the temporal correlation/coupling between depression and anxiety (called Depression-Anxiety Coupling Strength, DACS) as a predictor of relapse in patients with MDD.

METHODS

We followed 97 patients with remitted MDD for an average of 394 days. Patients completed weekly self-ratings of depression and anxiety symptoms using the Quick Inventory of Depressive Symptoms (QIDS-SR) and the Generalized Anxiety Disorder 7-item scale (GAD-7). Using these longitudinal ratings we computed DACS as random slopes in a linear mixed effects model reflecting individual-specific degree of correlation between depression and anxiety across time points. We then tested DACS as an independent variable in a Cox proportional hazards model to predict relapse.

RESULTS

A total of 28 patients (29 %) relapsed during the follow-up period. DACS significantly predicted confirmed relapse (hazard ratio [HR] 1.5, 95 % CI [1.01, 2.22], p = 0.043; Concordance 0.79 [SE 0.04]). This effect was independent of baseline depressive or anxiety symptoms or their average levels over the follow-up period, and was identifiable more than one month before relapse onset.

LIMITATIONS

Small sample size, in a single study. Narrow phenotype and comorbidity profiles.

CONCLUSIONS

DACS may offer opportunities for developing novel strategies for personalized monitoring, early detection, and intervention. Future studies should replicate our findings in larger, diverse patient populations, develop individual patient prediction models, and explore the underlying mechanisms that govern the relationship of DACS and relapse.

Suicidal thoughts and behaviours in body dysmorphic disorder: Prevalence and correlates in a sample of mental health service users in the UK

BACKGROUND

Previous research indicates an association of body dysmorphic disorder (BDD) with suicidal thoughts and behaviours, but has largely relied on small cohorts drawn from specialist clinics.

METHODS

Anonymised health-records from the South London and Maudsley NHS Foundation Trust between 2007 and 2019 were systematically searched using the Clinical Record Interactive Search data system.

RESULTS

298 patients diagnosed with BDD between age 12 and 65 years were identified. 206 (69 %) had experienced lifetime suicidal ideation. 149 (50 %) had recorded lifetime acts of self-harm or suicide attempts, most commonly involving cutting and self-poisoning. Rates of self-harm/suicide attempts were similar in those diagnosed before or after 18 years. Comorbid depression was associated with suicidal ideation (OR: 4.26 95% CI 2.07-9.72). Additionally, comorbid depression, OCD and anxiety were all associated with self-harm/suicide attempts (OR: 1.94 95% CI 1.15-3.31, OR: 1.99 95% CI 1.09-3.73, and OR: 1.93 95% CI 1.09-3.45, respectively). The presence of two or more psychiatric comorbidities was associated with a significantly elevated likelihood of suicidal ideation (OR: 7.06 95% CI 2.80-21.7) and self-harm/suicide attempts (OR: 4.62 95% CI 2.32-9.62).

LIMITATIONS

It is likely that BDD was under-diagnosed in the cohort, and those identified may not be representative. Additionally, the frequency and detail with which suicidal thoughts and behaviours were assessed varied and may also represent underestimates.

CONCLUSIONS

Suicidal ideation and self-harm/suicide attempts are common among individuals with BDD accessing mental health services. Psychiatric comorbidity and suicidal ideation should be assessed in all BDD patients.

Sleep, event appraisal, and affect: An ecological momentary assessment study

BACKGROUND

Appraisal theory posits that emotions result from cognitive appraisals of events and situations. Experimental work suggests that sleep influences cognitive processes and event appraisal, which the present study examines in real life. Poor sleep influences brain regions involved in the appraisal-to-emotion process, and tired participants showed more conservative appraisal and reported less positive and more negative affect. In the present study, we tested whether sleep duration and/or quality predicted more pleasant event appraisal and whether sleep moderated the association between event appraisal and affect.

METHODS

Participants (N = 892) from the general Dutch population reported thrice daily on event appraisal and various emotions for 30 days and once daily on sleep duration and quality. We constructed multilevel models to account for the nested structure of our data (observations within participants).

RESULTS

Multilevel regression analyses showed that on days when participants reported having slept longer and better than their average, their event appraisal was more positive. Subjective sleep duration and quality did not influence the relationship between event appraisal and affect. Hence, poor sleep predicted changes in cognitive functioning, as people appraised situations as more unpleasant.

LIMITATIONS

We measured subjective sleep duration and quality with two single items and focused on only pleasantness dimension of event appraisal.

CONCLUSIONS

Results match perspectives on emotions as multicomponent systems involving appraisal processes. Understanding the elements of event appraisal may help unravel the detrimental effects of poor sleep on mental health and well-being.

Association between the hearing aid and mental health outcomes in people with hearing impairment: A case-control study among 28 European countries

BACKGROUND

Hearing loss affects over 1.5 billion individuals globally, with significant implications for mental health. This study investigates the association between hearing aid use and mental health outcomes, by particularly focusing on depression and unmet mental health needs (UMHN), across a diverse international sample.

METHODS

Utilizing data from the third wave of the European Health Interview Survey (EHIS), this study involved 17,660 participants with hearing impairment from 28 countries. The study examined the association between hearing aid use and mental health outcomes, including the likelihood of moderate and severe depression and UMHN due to lack of contact with general practitioners (GPs) and mental health specialists. Logistic regression models, adjusted for socio-demographic characteristics, health risk behaviours, and other relevant variables, were employed. Inverse probability weights were used to mitigate potential selection bias.

RESULTS

Hearing aid usage was associated with significantly lower likelihoods of moderate depression (Odds Ratio [OR] = 0.58, 95%CI = [0.54, 0.63]) and severe depression (OR = 0.61, 95%CI = [0.55, 0.69]), compared to non-usage. Hearing aid usage was also associated with reduced UMHN due to lack of GP contact for moderate (OR = 0.82, 95%CI = [0.75, 0.89]) and severe depression (OR = 0.75, 95%CI = [0.59, 0.95]). The depression risk reductions were greater among females and higher-educated subgroups but lower in individuals aged ≥65 years. Income level and rurality also impacted UMHN due to the lack of GP contact. No associations were found between hearing aids and UMHN due to the lack of mental health specialist contact.

CONCLUSIONS

Hearing aid adoption showed protective associations against mood disorders and lowered unmet primary mental healthcare needs. Tailoring intervention strategies to vulnerable sociodemographic profiles could optimize mental health benefits among those with hearing loss. Integrating hearing health services within mental healthcare delivery frameworks is vital amidst the rising global burden.

Reciprocal relationships among parental psychological control, emotion regulation ability, and subjective well-being of adolescents: Disentangling between- and within-person effects

BACKGROUND

Although research has demonstrated that parental psychological control is associated with the subjective well-being of adolescents, the lack of longitudinal studies that investigate whether or not bidirectional associations exist between the two and their potential mediating mechanisms has continued to date. In addition, previous studies have not rigorously distinguished between- and within-person effects. Thus, this study investigated longitudinal bidirectional associations between parental psychological control and the subjective well-being of adolescents. The study further examined the mediating role of emotion regulation ability.

METHODS

A total of 1365 Chinese adolescents (boys: 53.2 %; Mage = 14.68 years, SD = 1.56) participated in a three-wave longitudinal study with annual assessments. Random intercept cross-lagged panel models were utilized to separate between- and within-person variation.

RESULTS

After controlling for between-person variance, the results revealed that adolescents with low levels of subjective well-being reported high levels of parental psychological control after one year. Emotion regulation ability played a bidirectional mediating role in the relationship between psychological control and subjective well-being. That is, psychological control and subjective well-being mutually influenced each other through emotion regulation ability.

LIMITATIONS

Assessments of the key study variables were provided by adolescents. Moreover, the study considered a combination of the mothers' and fathers' use of psychological control without differentiating between paternal and maternal psychological control.

CONCLUSIONS

The findings highlight the importance of interventions that target emotion regulation ability, which contributes to breaking the negative cycle between controlling parenting and the well-being of adolescents.

SIRT1 Coordinates Transcriptional Regulation of Neural Activity and Modulates Depression-Like Behaviors in the Nucleus Accumbens

BACKGROUND

Major depression and anxiety disorders are significant causes of disability and socioeconomic burden. Despite the prevalence and considerable impact of these affective disorders, their pathophysiology remains elusive. Thus, there is an urgent need to develop novel therapeutics for these conditions. We evaluated the role of SIRT1 in regulating dysfunctional processes of reward by using chronic social defeat stress to induce depression- and anxiety-like behaviors. Chronic social defeat stress induces physiological and behavioral changes that recapitulate depression-like symptomatology and alters gene expression programs in the nucleus accumbens, but cell type-specific changes in this critical structure remain largely unknown.

METHODS

We examined transcriptional profiles of D1-expressing medium spiny neurons (MSNs) lacking deacetylase activity of SIRT1 by RNA sequencing in a cell type-specific manner using the RiboTag line of mice. We analyzed differentially expressed genes using gene ontology tools including SynGO and EnrichR and further demonstrated functional changes in D1-MSN-specific SIRT1 knockout (KO) mice using electrophysiological and behavioral measurements.

RESULTS

RNA sequencing revealed altered transcriptional profiles of D1-MSNs lacking functional SIRT1 and showed specific changes in synaptic genes including glutamatergic and GABAergic (gamma-aminobutyric acidergic) receptors in D1-MSNs. These molecular changes may be associated with decreased excitatory and increased inhibitory neural activity in Sirt1 KO D1-MSNs, accompanied by morphological changes. Moreover, the D1-MSN-specific Sirt1 KO mice exhibited proresilient changes in anxiety- and depression-like behaviors.

CONCLUSIONS

SIRT1 coordinates excitatory and inhibitory synaptic genes to regulate the GABAergic output tone of D1-MSNs. These findings reveal a novel signaling pathway that has potential for the development of innovative treatments for affective disorders.

Sex differences in age-varying trends of depressive symptoms, substance use, and their associations among South Korean adults: A Time-Varying Effect Modeling (TVEM) analysis of a nationwide sample

BACKGROUND

This study investigated sex differences in the age-varying trends of depressive symptoms, substance use, and their relationships throughout the adult lifespan. Using a nationwide sample from South Korea, this study aimed to confirm existing patterns and identify unique characteristics specific to the South Korean context.

METHOD

Time-Varying Effect Modeling (TVEM) was applied to data from 17,484 participants (9987 women and 7497 men) in the Korea National Health and Nutrition Examination Survey.

RESULTS

Consistent with global trends, the results revealed a higher prevalence of depressive symptoms among women and a greater prevalence of substance use among men. However, the findings also illuminated unique patterns within the South Korean context. Substance use among South Korean men peaked during their 40s, whereas South Korean women consistently exhibited lower rates of substance use. Additionally, a stronger association between depressive symptoms and substance use was identified in women compared to men.

LIMITATIONS

The study used cross-sectional data, limiting the analysis of temporal dynamics between depressive symptoms and substance use. Additionally, TVEM cannot distinguish between aging and cohort effects. Furthermore, the assessments of depressive symptoms and substance use were based on self-report. Finally, the study did not include adolescents or sex and gender minorities in its sample.

CONCLUSIONS

These results emphasize the need for targeted interventions, particularly among women in their 20s and older adulthood, where there is a heightened co-occurrence of depressive symptoms and substance use. These findings also highlight the importance of sex- and culture-sensitive approaches tailored to the South Korean context.

Investigating Cannabidiol's potential as a supplementary treatment for schizophrenia: A narrative review

Schizophrenia presents a complex mental health challenge, often inadequately addressed by existing antipsychotic treatments, leading to persistent symptoms and adverse effects. Hence, developing alternative therapeutic approaches is crucial. Cannabidiol (CBD), a nonpsychoactive compound in Cannabis sativa, has been extensively explored for its therapeutic potential in treating psychiatric disorders, including schizophrenia. CBD exhibits antipsychotic, anxiolytic, and neuroprotective effects. However, distinguishing the individual effects of CBD and THC remains challenging. Therefore, this review aims to critically analyze the potential role of CBD as an adjunctive therapy in schizophrenia treatment. The therapeutic action of CBD may involve activating the 5-hydroxytryptamine 1A receptors and suppressing the G-protein-coupled receptor 55, thereby affecting various neurotransmitter systems. Additionally, the anti-inflammatory and antioxidative effects of CBD may contribute to alleviating neuroinflammation linked to schizophrenia. Compared to typical antipsychotics, CBD demonstrates a lower incidence of side effects and it exhibited favorable tolerability in clinical trials. A 2012 clinical trial demonstrated the efficacy of CBD in reducing both positive and negative symptoms of schizophrenia, presenting a safer profile than that of traditional antipsychotics. However, further research is needed to fully establish the safety and efficacy of CBD as an adjunctive treatment. Future research directions encompass exploring detailed antipsychotic mechanisms, long-term safety profiles, interactions with current antipsychotics, optimal dosing, and patient-specific factors such as genetic predispositions. Despite these research needs, the potential of CBD to enhance the quality of life and symptom management positions it as a promising candidate for innovative schizophrenia treatment approaches.

Post-traumatic change and resilience after childhood maltreatment: Impacts on maternal mental health over the postpartum period

BACKGROUND

Mothers with a history of childhood maltreatment (CM) are particularly vulnerable to postpartum mental health changes. Variability in mental health trajectories is present over the first 18-months postpartum. Little is known about the potentially unique impacts of post-traumatic change or resilience on later postpartum mental health.

METHODS

Participants (N = 97) completed questionnaires over the first 18-months postpartum measuring demographic risk, mental health symptoms, traumatic experiences, and resilience. Mothers also completed an interview measure coded for post-traumatic changes at 6-months postpartum. Multinomial logistic regression models examined post-traumatic change and resilience factors as predictors of mothers' longitudinal latent mental health trajectory.

RESULTS

Three classes of latent postpartum mental health emerged: low-symptom, vulnerable, and chronic high-risk. Mothers reporting stronger positive post-traumatic changes were more likely to be in the low-symptom class than the chronic high-risk class (B = -1.082, p = .01). Mothers reporting stronger negative post-traumatic changes were more likely to be in the vulnerable class (B = 0.778, p = .006) or chronic high-risk class (B = 0.906, p = .046) than the low-symptom class. Resilience was not predictive of mental health class.

LIMITATIONS

Findings are correlational, and causal effects between post-traumatic growth and mental health symptoms cannot be assumed. Mothers who consented to the interview may not be fully representative of all women who have experienced CM, limiting generalizability of findings.

CONCLUSIONS

Positive post-traumatic change is associated with reduced psychopathology. These findings may assist in identification of mothers at greater risk of adverse postpartum outcomes and futher inform interventions focused on enhancing positive changes in post-traumatic cognitions.

The Long-COVID Well-Being Scale (LCOVID-WBS): Development of a nascent measure of long-COVID symptoms and impacts

As is now well-known, COVID-19 is a highly contagious disease, which for some can cause symptoms that last long after initial infection. In 2021, a clinical set of symptoms referred to as long-COVID was identified. For many patients, long-COVID is a confusing and frightening multisystem disease, with the potential for myriad negative psychosocial effects, including significant impacts on employment and mental health, and requiring ongoing care. Research and treatment of long-COVID will be facilitated by a sound measure that addresses aspects of well-being, symptom experiences, and psychosocial impacts among long-COVID patients. The present work addresses this need by presenting the results of the development and preliminary psychometrics for the Long-COVID Well-Being Scale (LCOVID-WBS). In an exploratory factor analysis with a panel of 236 participants, researchers identified four factors: Emotional Strain, Physical Ability Strain, Control of Life, and Overall Evaluation of Health. The nascent measure represents the first step to measuring the impacts of long-COVID.

At-home, telehealth-supported ketamine treatment for depression: Findings from longitudinal, machine learning and symptom network analysis of real-world data

BACKGROUND

Improving safe and effective access to ketamine therapy is of high priority given the growing burden of mental illness. Telehealth-supported administration of sublingual ketamine is being explored toward this goal.

METHODS

In this longitudinal study, moderately-to-severely depressed patients received four doses of ketamine at home over four weeks within a supportive digital health context. Treatment was structured to resemble methods of therapeutic psychedelic trials. Patients receiving a second course of treatment were also examined. Symptoms were assessed using the Patient Health Questionnaire (PHQ-9) for depression. We conducted preregistered machine learning and symptom network analyses to investigate outcomes (osf.io/v2rpx).

RESULTS

A sample of 11,441 patients was analyzed, demonstrating a modal antidepressant response from both non-severe (n = 6384, 55.8 %) and severe (n = 2070, 18.1 %) baseline depression levels. Adverse events were detected in 3.0-4.8 % of participants and predominantly neurologic or psychiatric in nature. A second course of treatment helped extend improvements in patients who responded favorably to initial treatment. Improvement was most strongly predicted by lower depression scores and age at baseline. Symptoms of Depressed mood and Anhedonia sustained depression despite ongoing treatment.

LIMITATIONS

This study was limited by the absence of comparison or control groups and lack of a fixed-dose procedure for ketamine administration.

CONCLUSIONS

At-home, telehealth-supported ketamine administration was largely safe, well-tolerated, and associated with improvement in patients with depression. Strategies for combining psychedelic-oriented therapies with rigorous telehealth models, as explored here, may uniquely address barriers to mental health treatment.

Continuous theta burst stimulation for bipolar depression: A multicenter, double-blind randomized controlled study exploring treatment efficacy and predictive potential of kynurenine metabolites

BACKGROUND

While theta burst stimulation (TBS) shows promise in Major Depressive Disorder (MDD), its effectiveness in bipolar depression (BD-D) remains uncertain. Optimizing treatment parameters is crucial in the pursuit of rapid symptom relief. Moreover, aligning with personalized treatment strategies and increased interest in immunopsychiatry, biomarker-based stratification of patients most likely to benefit from TBS might improve remission rates. We investigated treatment effectiveness of continuous TBS (cTBS) compared to sham in BD-D, and assessed the capacity of plasma kynurenine pathway metabolites to predict treatment outcome.

METHODS

Thirty-seven patients with BD-D underwent accelerated active or sham cTBS treatment in a multicenter, double-blind, randomized controlled trial. Depressive symptoms were measured with the 17-item Hamilton Depression Rating Scale (HDRS-17) before treatment (T0), 3-4 days posttreatment (T1) and 10-11 days posttreatment (T2). Plasma tryptophan, kynurenine, kynurenic acid and quinolinic acid concentrations were quantified with ELISA. Linear mixed models were used for statistical analyses.

RESULTS

Although the total sample showed depressive symptom improvement, active cTBS did not demonstrate greater symptom alleviation compared to sham. However, higher baseline quinolinic acid significantly predicted symptom improvement in the active treatment group, not in sham-stimulated patients.

LIMITATIONS

The modest sample size limited the power to detect significant differences with regard to treatment effect. Also, the follow-up period was 10-11 days, whereas similar studies usually follow up for at least one month.

CONCLUSION

More research is required to optimize cTBS for BD-D and explore the involvement of quinolinic acid in treatment outcome.

Causal role of immune cells in major depressive disorder and bipolar disorder: Mendelian randomization (MR) study

BACKGROUND

Major depressive disorder (MDD) and bipolar disorder (BD) are prevalent psychiatric conditions linked to inflammatory processes. However, it is unclear whether associations of immune cells with these disorders are likely to be causal.

METHODS

We used two-sample Mendelian randomization (MR) approach to investigate the relationship between 731 immune cells and the risk of MDD and BD. Rigorous sensitivity analyses are conducted to assess the reliability, heterogeneity, and horizontal pleiotropy of the findings.

RESULTS

Genetically-predicted CD27 on IgD+ CD38- unswitched memory B cell (inverse variance weighting (IVW): odds ratio (OR) [95 %]: 1.017 [1.007 to 1.027], p = 0.001), CD27 on IgD+ CD24+ B cell (IVW: OR [95 %]: 1.021 [1.011 to 1.031], p = 4.821E-05) and other 12 immune cells were associated with increased risk of MDD in MR, while HLA DR++ monocyte %leukocyte (IVW: OR [95 %]: 0.973 [0.948 to 0.998], p = 0.038), CD4 on Central Memory CD4+ T cell (IVW: OR [95 %]: 0.979 [0.963 to 0.995], p = 0.011) and other 13 immune cells were associated with decreased risk of MDD in MR. Additionally, CD33+ HLA DR+ Absolute Count (IVW: OR [95 %]: 1.022[1.007 to 1.036], p = 0.007), CD28+ CD45RA- CD8+ T cell %T cell (IVW: OR [95 %]: 1.024 [1.008 to 1.041], p = 0.004) and other 18 immune cells were associated with increased risk of BD in MR, while CD62L on CD62L+ myeloid Dendritic Cell (IVW: OR [95 %]: 0.926 [0.871 to 0.985], p = 0.014), IgD- CD27- B cell %lymphocyte (IVW: OR [95 %]: 0.918 [0.880 to 0.956], p = 4.654E-05) and other 13 immune cells were associated with decreased risk of BD in MR.

CONCLUSIONS

This MR study provides robust evidence supporting a causal relationship between immune cells and the susceptibility to MDD and BD, offering valuable insights for future clinical investigations. Experimental studies are also required to further examine causality, mechanisms, and treatment potential for these immune cells for MDD and BD.

Aberrant social reward dynamics in individuals with melancholic major depressive disorder: An ERP study

BACKGROUND

Compared to monetary rewards, depressive symptoms are specifically associated with abnormal social reward processing. In addition, individuals with melancholic depression may exhibit more significant reward-related impairments. However, there is still limited understanding of the specific alterations in social reward processing in individuals with melancholic depression.

METHODS

Forty patients with melancholic major depressive disorder (MDD), forty patients with non-melancholic MDD, and fifty healthy controls participated in the social incentive delay (SID) tasks with event-related potential (ERP) recording. We measured one anticipatory ERP(cue-N2) and two consummatory ERPs (FRN, fb-P3). Furthermore, we examined correlation between FRN and consummatory anhedonia.

RESULTS

Melancholic MDD patients showed less anticipation of social rewards (cue-N2). Concurrently, melancholic individuals demonstrated diminished reception of social rewards, as evidenced by reduced amplitudes of FRN. Notably, the group x condition interaction effect on FRN was significant (F (2, 127) = 4.15, p = 0.018, η2ρ = 0.061). Melancholic MDD patients had similar neural responses to both gain and neutral feedback (blunted reward positivity), whereas non-melancholic MDD patients (t (39) = 3.09, p = 0.004) and healthy participants (t (49) = 5.25, p < 0.001) had smaller FRN amplitudes when receiving gain feedback relative to neutral feedback. In addition, there was a significant correlation between FRN and consummatory anhedonia in MDD patients.

CONCLUSIONS

Our findings indicated that individuals with melancholic MDD exhibit attenuated neural responses to both anticipated and consumed social rewards. This suggests that aberrant processing of social rewards could serve as a potential biomarker for melancholic MDD.

Association between depressive symptoms and cardiovascular diseases in the Korean geriatric population: A nationwide retrospective cohort study

INTRODUCTION

Depression has emerged as a modifiable risk factor for cardiovascular disease (CVD). However, evidence on whether depressive symptoms measured using a self-report questionnaire are associated with CVD incidence is scarce. Therefore, we aimed to investigate the association between depressive symptoms and CVD risk using data from national health examinations and insurance claim records.

METHODS

This retrospective cohort study included participants who underwent the Korean National Screening Program for Transitional Ages at age 66 years between 2007 and 2017. The presence of depressive symptoms was defined as affirmative responses to any of three questions (loss of activities and interests, worthlessness, and hopelessness) selected from the Geriatric Depression Scale. Incident composite CVD event included myocardial infarction, stroke, heart failure, and CVD death. The association between depressive symptoms and CVD risk was evaluated using hazard ratios (HRs) and 95 % confidence intervals (CIs) estimated with Cox proportional hazards models.

RESULTS

Among 88,765 participants (48.5 % women) aged 66 years, 4036 incident CVD events occurred during a mean follow-up of 6.8 years. Participants with depressive symptoms had a significantly higher risk of CVD than those without depressive symptoms (adjusted HR = 1.16 [95 % CI: 1.07-1.24]). The three individual depressive symptoms showed similar associations with CVD risk (loss of activities and interests, adjusted HR = 1.17 [95 % CI: 1.08-1.26]; worthlessness, 1.15 [1.03-1.29]; hopelessness, 1.13 [1.01-1.26]).

LIMITATIONS

The study was limited to participants aged 66 years. Despite extensive adjustment for potential confounders and multiple sensitivity analyses, residual confounding and reverse causality could not be ruled out.

CONCLUSION

The presence of depressive symptoms was associated with an increased risk of CVD. Screening for depressive symptoms in the general population may effectively mitigate the burden of CVD.

Serum brain derived neurotrophic factor levels and post-stroke depression in ischemic stroke patients

BACKGROUND

Brain-derived neurotrophic factor (BDNF) is crucial for neuronal survival and may be implicated in the pathophysiological process of depression. This study aimed to prospectively investigate the association between serum BDNF and post-stroke depression (PSD) at 3 months in a multicenter cohort study.

METHODS

A total of 611 ischemic stroke patients with serum BDNF measurements from the China Antihypertensive Trial in Acute Ischemic Stroke were included in this analysis. We used the 24-item Hamilton Depression Rating Scale to assess depression status at 3 months after ischemic stroke, and PSD was defined as a score of ≥8.

RESULTS

Baseline serum BDNF was inversely associated with the risk of depression after ischemic stroke. The multivariable-adjusted odds ratio of PSD for the highest tertile of BDNF was 0.53 (95 % confidence interval, 0.34-0.82; P for trend = 0.004) compared with the lowest tertile. Multivariable-adjusted spline regression model also showed a linear does-response association between serum BDNF levels and PSD at 3 months (P for linearity = 0.006). In addition, adding serum BDNF to conventional risk factors significantly improved the risk reclassification of PSD (net reclassification improvement: 16.98 %, P = 0.039; integrated discrimination index: 0.93 %, P = 0.026).

LIMITATIONS

All patients in this study were Chinese, so our findings should be applied to other populations cautiously.

CONCLUSIONS

Higher serum BDNF levels at baseline were significantly associated with a decreased risk of PSD at 3 months, suggesting that BDNF might be a valuable predictive biomarker and potential therapeutic target for PSD among ischemic stroke patients.

The Beck Hopelessness Scale's psychometric features: A new short form based on item response theory

BACKGROUND

The assessment of hopelessness plays a significant role in preventing various psychological disorders and major life events within the general population. However, the psychometric properties of the Beck Hopelessness Scale (BHS) have been a subject of controversy, primarily studied in clinical groups. The aim of the present study was to gain new psychometric insights and propose a new short version of the BHS for the general population using the Item Response Theory (IRT) approach.

METHODS

A total of 2164 Argentinean individuals completed the BHS alongside the Inventory of Suicide Orientation-30. We compared IRT models with two and three parameters for the original BHS version, exploring the removal of redundant and less informative items. Convergent and discriminant validity was also examined.

RESULTS

Our results support the 2PL model for the BHS-19. In addition, the BHS-10 short version adequately depicted the same range of the measured trait as the original version, showing reasonable measurement accuracy in the middle-high levels of the trait (marginal reliability = 0.70, Cronbach's α = 0.86). Notably, a positive correlation was found between the factorial score of BHS-10, BHS-19, and suicide orientation.

CONCLUSIONS

In conclusion, our findings support the use of a simplified version as a practical and valuable tool for both research and clinical practice in the future.

Pregnancy loss and suicidal behavior: Investigating the mediating role of depressive mood

BACKGROUND

Pregnancy loss is arguably a traumatic and stressful life event that potentially impacts the emotional and behavioral health of those who experience it, especially adolescents. Research assessing this relationship has primarily focused on adult women populations.

METHODS

Using data from National Longitudinal Study of Adolescent to Adult Health, a cross-sectional research design was employed to investigate whether pregnancy loss outcomes are associated with depressive mood and suicidal behavior (i.e., suicidal thoughts and suicide attempt) among adolescent girls (N = 6, 913). We also investigated the mediating effect of depressive mood. Initially, an all-encompassing pregnancy loss variable was used, which included abortions and miscarriages. Acknowledging the differences between these pregnancy loss outcomes, we created separate measures for each.

RESULTS

Using the all-encompassing pregnancy loss variable, findings from logistic regression analyses showed that pregnancy loss is positively and significantly associated with depressive mood and suicidal behaviors. Depressive mood mediated the relationship between pregnancy loss and suicidal behaviors. Miscarriage was positively and significantly associated with suicidal thoughts as well as attempting suicide. Depressive mood mediated the relationship between miscarriage and suicidal thoughts, while only partially mediating the relationship between miscarriage and suicide attempt. No significant effects were observed for abortion on outcomes of interest.

LIMITATIONS

Cross-sectional analyses were performed limiting our ability to make casual inferences.

CONCLUSIONS

Pregnancy loss is associated with depressive mood and suicidal behavior, especially among adolescent girls who experience a miscarriage. Adolescent pregnancy and pregnancy loss should remain a focus of scholars and health professionals.

Transcriptional Patterns of Brain Structural Covariance Network Abnormalities Associated With Suicidal Thoughts and Behaviors in Major Depressive Disorder

BACKGROUND

Although brain structural covariance network (SCN) abnormalities have been associated with suicidal thoughts and behaviors (STBs) in individuals with major depressive disorder (MDD), previous studies have reported inconsistent findings based on small sample sizes, and underlying transcriptional patterns remain poorly understood.

METHODS

Using a multicenter magnetic resonance imaging dataset including 218 MDD patients with STBs, 230 MDD patients without STBs, and 263 healthy control participants, we established individualized SCNs based on regional morphometric measures and assessed network topological metrics using graph theoretical analysis. Machine learning methods were applied to explore and compare the diagnostic value of morphometric and topological features in identifying MDD and STBs at the individual level. Brainwide relationships between STBs-related connectomic alterations and gene expression were examined using partial least squares regression.

RESULTS

Group comparisons revealed that SCN topological deficits associated with STBs were identified in the prefrontal, anterior cingulate, and lateral temporal cortices. Combining morphometric and topological features allowed for individual-level characterization of MDD and STBs. Topological features made a greater contribution to distinguishing between patients with and without STBs. STBs-related connectomic alterations were spatially correlated with the expression of genes enriched for cellular metabolism and synaptic signaling.

CONCLUSIONS

These findings revealed robust brain structural deficits at the network level, highlighting the importance of SCN topological measures in characterizing individual suicidality and demonstrating its linkage to molecular function and cell types, providing novel insights into the neurobiological underpinnings and potential markers for prediction and prevention of suicide.

Therapeutic sleep deprivation for major depressive disorder: A randomized controlled trial

BACKGROUND

Major depressive disorder (MDD) is treated primarily using antidepressant drugs, but clinical effects may be delayed for weeks to months. This study investigated the efficacy of brief therapeutic sleep deprivation (TSD) for inducing rapid improvements in MDD symptoms.

METHODS

From November 2020 to February 2023, 54 inpatients with MDD were randomly allocated to TSD and Control groups. The TSD group (23 cases) remained awake for 36 h, while the Control group (31 cases) maintained regular sleep patterns. All participants continued regular drug therapy. Mood was assessed using the 24-item Hamilton Depression Scale (HAMD-24) at baseline and post-intervention in both groups. In the TSD group, the Visual Analogue Scale (VAS) was utilized to evaluate subjective mood during and after the intervention. Cognitive function was assessed at baseline and post-intervention using the Montreal Cognitive Assessment (MoCA). Objective sleep parameters were recorded in the TSD group by polysomnography. The follow-up period spanned one week.

RESULTS

HAMD-24 scores did not differ between groups at baseline or post-intervention. However, the clinical response rate was 34.8 % higher in the TSD group on day 3 post-intervention compared to the Control group (3.2 %), but not sustained by day 7. Moreover, responders demonstrated a faster improvement in the VAS score during TSD than non-responders (p = 0.047). There were no significant differences in MoCA scores or objective sleep parameters between the groups.

LIMITATIONS

Small sample size and notable attrition rate.

CONCLUSIONS

Therapeutic sleep deprivation can rapidly improve MDD symptoms without influencing sleep parameters or cognitive functions. Assessment of longer-term effects and identification of factors predictive of TSD response are warranted.

Problematic social media use and psychological distress in pregnancy: The mediating role of social comparisons and body dissatisfaction

BACKGROUND

Pregnancy can be experienced as a significant transition for many women with associated body dissatisfaction, depression, pregnancy-related anxiety, and disordered eating attitudes. Problematic Social Media Use (PSMU) creates abundant opportunities for women to compare themselves with others and expose themselves to sociocultural influences which may increase body dissatisfaction and psychological distress.

AIMS

This study examined whether the relationship between PSMU and psychological distress (defined as depression, pregnancy-related anxiety and disordered eating attitudes) was mediated by negative social comparisons and body dissatisfaction.

METHOD

A sample of 225 pregnant Australian women (Mage = 31.91 years, SDage = 4.39) recruited online, completed self-report measures related to the variables of interest.

RESULTS

PSMU was associated with higher levels of depression, pregnancy-related anxiety, and disordered eating attitudes. Negative social comparisons and body dissatisfaction partially mediated the relationship between PSMU and pregnancy-related anxiety and depression, and fully mediated the relationship between PSMU and disordered eating attitudes.

LIMITATIONS

Cross-sectional nature of the study limited our ability to determine the direction of the relationships. Moreover, the recruitment method via social media led to high rates of non-completion.

CONCLUSION

The findings of this study suggest that problematic social media usage during pregnancy may increase depression, pregnancy-related anxiety and disordered eating attitudes. This study identified potential pathways that may explain this relationship, (via social comparisons and body dissatisfaction). This study highlights the potentially negative impact of social media use amongst expectant mothers and the importance of screening for body dissatisfaction in routine antenatal care.

general psychopathology factor in Chinese adolescents and its correlation with trans-diagnostic protective psycho-social factors

BACKGROUND

Comorbidity in mental disorders is prevalent among adolescents, with evidence suggesting a general psychopathology factor ("p" factor) that reflects shared mechanisms across different disorders. However, the association between the "p" factor and protective factors remains understudied. The current study aimed to explore the "p" factor, and its associations with psycho-social functioning, in Chinese adolescents.

METHODS

2052 students, aged 9-17, were recruited from primary and secondary schools in Shanghai, China. Multiple rating scales were used to assess psychological symptoms and psycho-social functioning. Confirmatory factor analysis was conducted to verify the fit of models involving different psychopathology domains such as externalizing, internalizing, and the "p" factor. Subsequently, structural equation models were used to explore associations between the extracted factors and psycho-social functioning, including emotion regulation, mindful attention awareness, self-esteem, self-efficacy, resilience, and perceived support.

RESULTS

The bi-factor model demonstrated a good fit, with a "p" factor accounting for 46 % of symptom variation, indicating that the psychological symptoms of Chinese adolescents could be explained by internalizing, externalizing, and the "p" factor. Psychologically, a higher "p" was positively correlated with emotion suppression and negatively correlated with mindful attention awareness, emotion reappraisal, self-esteem, and resilience. Socially, a higher "p" was associated with decreased perceived support.

LIMITATIONS

Only common symptoms were included as this study was conducted at school. Furthermore, the cross-sectional design limited our ability to investigate causal relationships.

CONCLUSIONS

A "p" factor exists among Chinese adolescents. Individuals with higher "p" factor levels were prone to experience lower levels of psycho-social functions.

Association of depression and self-reported health status by birthplace and citizenship status: Results from the 2010-2018 National Health Interview Survey

BACKGROUND

Self-reported health (SRH) is an important indicator of mental health outcomes. More information, however, is needed on whether this association varies by birthplace (defined as US-born or non-US-born) and citizenship status (i.e., non-US-born citizen, non-US citizen, and US-born citizen).

METHODS

We examined the associations between SRH and depression among non-US-born US citizens, non-US citizens, and US-born citizens aged 18 years and older using weighted cross-sectional data from the 2010-2018 National Health Interview Survey (n = 139,884). Logistic regression models were used to assess the association between depression and SRH by citizenship status, adjusting for covariates.

RESULTS

US-born citizens reported the highest prevalence of depression (40.3 %), and non-US-born citizens reported the highest prevalence of poor/fair SRH (14.5 %). Individuals with fair/poor SRH had a significantly increased likelihood of depression relative to those with good/very good/excellent for non-US-born US citizens (Adjusted Odds Ratio [AOR] = 2.42, 95 % Confidence Interval [95 % CI] = 2.04-2.88), non-US citizens (AOR = 2.80, 95 % CI = 2.31-3.40), and US-born citizens (AOR = 2.31, CI = 2.18-2.45).

LIMITATIONS

The study is cross-sectional, reducing the strength of determining causal relationships. Also, there is a possible response bias due to the self-reported nature of the data.

CONCLUSIONS

Our study indicates that fair/poor SRH is significantly associated with an increased likelihood of depression regardless of an individual citizenship status. Additionally, immigrants with fair/poor SRH had higher increased odds of depression. Therefore, mental healthcare interventions tailored for immigrants can reduce mental health problems and disparities among immigrants.

Similarities and differences between post-traumatic stress disorder and major depressive disorder: Evidence from task-evoked functional magnetic resonance imaging meta-analysis

BACKGROUND

Post-traumatic stress disorder (PTSD) and major depressive disorder (MDD) are psychiatric disorders that can present with overlapping symptoms and shared risk factors. However, the extent to which these disorders share common underlying neuropathological mechanisms remains unclear. To investigate the similarities and differences in task-evoked brain activation patterns between patients with PTSD and MDD.

METHODS

A coordinate-based meta-analysis was conducted across 35 PTSD studies (564 patients and 543 healthy controls) and 125 MDD studies (4049 patients and 4170 healthy controls) using anisotropic effect-size signed differential mapping software.

RESULTS

Both PTSD and MDD patients exhibited increased neural activation in the bilateral inferior frontal gyrus. However, PTSD patients showed increased neural activation in the right insula, left supplementary motor area extending to median cingulate gyrus and superior frontal gyrus (SFG), and left fusiform gyrus, and decreased neural activation in the right posterior cingulate gyrus, right middle temporal gyrus, right paracentral lobule, and right inferior parietal gyrus relative to MDD patients.

CONCLUSION

Our meta-analysis suggests that PTSD and MDD share some similar patterns of brain activation, but also have distinct neural signatures. These findings contribute to our understanding of the potential neuropathology underlying these disorders and may inform the development of more targeted and effective treatment and intervention strategies. Moreover, these results may provide useful neuroimaging targets for the differential diagnosis of MDD and PTSD.

Generalizable Links Between Borderline Personality Traits and Functional Connectivity

BACKGROUND

Symptoms of borderline personality disorder (BPD) often manifest during adolescence, but the underlying relationship between these debilitating symptoms and the development of functional brain networks is not well understood. Here, we aimed to investigate how multivariate patterns of functional connectivity are associated with borderline personality traits in large samples of young adults and adolescents.

METHODS

We used functional magnetic resonance imaging data from young adults and adolescents from the HCP-YA (Human Connectome Project Young Adult) (n = 870, ages 22-37 years, 457 female) and the HCP-D (Human Connectome Project Development) (n = 223, ages 16-21 years, 121 female). A previously validated BPD proxy score was derived from the NEO Five-Factor Inventory. A ridge regression model with cross-validation and nested hyperparameter tuning was trained and tested in HCP-YA to predict BPD scores in unseen data from regional functional connectivity. The trained model was further tested on data from HCP-D without further tuning. Finally, we tested how the connectivity patterns associated with BPD aligned with age-related changes in connectivity.

RESULTS

Multivariate functional connectivity patterns significantly predicted out-of-sample BPD scores in unseen data in young adults (HCP-YA ppermuted = .001) and older adolescents (HCP-D ppermuted = .001). Regional predictive capacity was heterogeneous; the most predictive regions were found in functional systems relevant for emotion regulation and executive function, including the ventral attention network. Finally, regional functional connectivity patterns that predicted BPD scores aligned with those associated with development in youth.

CONCLUSIONS

Individual differences in functional connectivity in developmentally sensitive regions are associated with borderline personality traits.

Relationship between Patient Health Questionnaire (PHQ-9) and Montgomery-Asberg Depression Rating Scale (MADRS) total scores in older adults with major depressive disorder: An analysis of the OPTIMUM clinical trial

BACKGROUND

The Patient Health Questionnaire (PHQ-9) and Montgomery-Asberg Depression Rating Scale (MADRS) are commonly used scales to measure depression severity in older adults.

METHODS

We utilized data from the Optimizing Outcomes of Treatment-Resistant Depression in Older Adults (OPTIMUM) clinical trial to produce conversion tables relating PHQ-9 and MADRS total scores. We split the sample into training (N = 555) and validation samples (N = 187). Equipercentile linking was performed on the training sample to produce conversion tables for PHQ-9 and MADRS. We compared the original and estimated scores in the validation sample with Bland-Altman analysis. We compared the depression severity level using the original and estimated scores with Chi-square tests.

RESULTS

The Bland-Altman analysis confirmed that differences between the original and estimated scores for at least 95 % of the sample fit within 1.96 standard deviations of the mean difference. Chi-square tests showed a significant difference in the proportion of participants at each depression severity category determined using the original and estimated scores.

LIMITATIONS

The conversion tables should be used with caution when comparing depression severity at the individual level.

CONCLUSIONS

Our conversion tables relating PHQ-9 and MADRS scores can be used to compare treatment outcomes using aggregate data in studies that only used one of these scales.

The Influence of Perinatal Psychological Changes on Infant Neurodevelopment in Shanghai, China: A Longitudinal Group-based Trajectory Analysis

OBJECTIVE

This prospective cohort study, conducted at the Fenglin Community Health Service Center (FCHC) in Xuhui District, Shanghai, aimed to investigate the impact of maternal psychological status on offspring neurodevelopment.

METHODS

A total of 430 mother-child pairs were included, with pregnant women enrolled between February 18, 2020, and April 19, 2021. Face-to-face interviews and electronic data collection on demographic characteristics, health conditions and medical history were employed at various stages of pregnancy and postpartum. Maternal depression and anxiety were assessed using the PHQ-9 and GAD-7 scales, while offspring neurodevelopment was measured at six months using the Ages and Stages Questionnaire 3rd Edition (ASQ-3). In statistical analyses, group-based trajectory modeling (GBTM) was employed to identify the latent groups for maternal psychological trajectories, including depression and anxiety, and logistic regression was used to explore associations between maternal psychological trajectories and offspring neurodevelopment, adjusting for potential confounders.

RESULTS

Five latent trajectory groups were identified for both depression and anxiety, exhibiting distinct patterns over time. Results indicated that maternal psychological trajectories were associated with various domains of offspring neurodevelopment, including communication, problem-solving, personal-social, and gross motor skills. Specifically, mothers in trajectory groups characterized by the highest level of depression or anxiety showed increased odds of offspring neurodevelopmental delays compared to reference groups.

CONCLUSION

Our findings underscore the importance of maternal mental health during the perinatal period and highlight the potential implications for offspring neurodevelopment. Further research is warranted to elucidate underlying mechanisms and inform targeted interventions to support maternal mental well-being and optimize offspring outcomes.

Effectiveness of artificial intelligence in detecting and managing depressive disorders: Systematic review

OBJECTIVES

This study underscores the importance of exploring AI's creative applications in treating depressive disorders to revolutionize mental health care. Through innovative integration of AI technologies, the research confirms their positive effects on preventing, diagnosing, and treating depression. The systematic review establishes an evidence base for AI in depression management, offering directions for effective interventions.

METHODS

This systematic literature review investigates the effectiveness of AI in depression management by analyzing studies from January 1, 2017, to May 31, 2022. Utilizing search engines like IEEE Xplore, PubMed, and Web of Science, the review focused on keywords such as Depression/Mental Health, Machine Learning/Artificial Intelligence, and Prediction/Diagnosis. The analysis of 95 documents involved classification based on use, data type, and algorithm type.

RESULTS

The study revealed that AI in depression management excelled in accuracy, particularly in monitoring and prediction. Biomarker-derived data demonstrated the highest accuracy, with the CNN algorithm proving most effective. The findings affirm the therapeutic benefits of AI, including treatment, detection, and disease prediction, highlighting its potential in analyzing monitored data for depression management.

LIMITATIONS

This study exclusively examined the application of AI in individuals with depressive disorders. Interpretation should be cautious due to the limited scope of subjects to this specific population.

CONCLUSIONS

To introduce digital healthcare and therapies for ongoing depression management, it's crucial to present empirical evidence on the medical fee payment system, safety, and efficacy. These findings support enhanced medical accessibility through digital healthcare, offering personalized disease management for patients seeking non-face-to-face treatment.

Sleep quality predicts future mood symptoms in adolescents with bipolar disorder

BACKGROUND

Poor sleep is prevalent in adolescents with bipolar disorder, precedes illness onset, and is associated with worse mood symptoms. We examined interrelationships between sleep quality and mood symptoms in adolescents with bipolar disorder, particularly effects of sleep quality on emergent mood symptoms.

METHODS

Adolescents with bipolar disorder participated in a two-year longitudinal treatment study. Sleep quality (Pittsburgh Sleep Quality Index, PSQI) was assessed quarterly during treatment (baseline, 3-, 6-, 9-, 12-month visits) and twice during follow-up (18-, 24-month visits). Mood symptoms (ALIFE Psychiatric Status Ratings) were retrospectively rated weekly by an independent clinician. Lag models tested whether sleep quality predicted next month's mood symptoms and whether mood symptoms predicted future sleep quality.

RESULTS

Adolescents with bipolar disorder had poor sleep quality. Sleep quality initially improved but remained stable thereafter. Worse sleep quality at 6-months predicted worse depression, hypomania, and suicidal ideation the following month. Sleep quality was worse for adolescents who had a suicide attempt during the study compared to those who did not and was worse preceding months with a suicide attempt compared to months without attempts. Alternatively, worse depression predicted worse future sleep quality at baseline, 3-, and 18-months and worse suicidal ideation predicted worse future sleep quality at baseline, 12-, and 18-months.

LIMITATIONS

Mood symptoms were rated retrospectively and the PSQI may not capture all dimensions of sleep important for mood symptoms.

CONCLUSIONS

Targeted evidence-based sleep treatment in adolescents with bipolar disorder may alleviate sleep problems and have additional benefits on mood symptoms and suicidality risk.

Childhood maltreatment and suicide attempts in major depression and bipolar disorders in South Korea: A prospective nationwide cohort study

BACKGROUND

Childhood maltreatment (CM) is prevalent among patients with mood disorders and considered an important risk factor for suicide in the general population. Despite mood disorders being implicated in up to 60 % of completed suicides, the predictive role of CM on suicide attempt (SA) among early mood disorder patients remains poorly understood.

METHODS

We enrolled 480 participants diagnosed with early-onset major depressive disorder (MDD), bipolar I disorder (BD I), and bipolar II disorder (BD II). Over an average of 60 weeks, participants underwent follow-up assessments at 12-week intervals. Using multivariate logistic regression, we examined the association between CM and SA history at baseline. Further, the Cox proportional hazard model assessed the predictive role of childhood maltreatment in SA during follow-up.

RESULTS

At baseline, 38 % of the total participants reported SA history, with a follow-up prevalence of 10 %. Childhood maltreatment was significantly associated with past SAs and was a robust predictor of future SA, adjusting for relevant clinical risk factors. Emotional abuse and sexual abuse related to SA history, and physical abuse increased future SA risk.

LIMITATIONS

Potential biases in reporting SA and childhood maltreatment, along with unexplored factors such as additional environmental and familial risks, may affect the study's findings.

CONCLUSIONS

Childhood maltreatment emerged as a robust predictor of SA among early-onset mood disorder patients. Systematic evaluation of CM early in the clinical process may be crucial for effective risk management. Additionally, our findings highlight the importance of implementing proactive interventions for CM to prevent the onset of adverse psychological trajectories.

Characteristics of symptoms and development of psychological status in late Chinese adolescence

BACKGROUND

Many late adolescents experience a state of psychological sub-health, requiring early recognition and intervention. This study aims to assess the psychological state of late Chinese adolescents and uncover developmental trend of mental health through network analysis.

METHOD

We analyzed data from 9072 Chinese high school adolescents in Shandong Province surveyed in 2020-2021, and divided them into the normal, the suspected, and the abnormal groups based on Symptom Checklist 90 (SCL-90) scores. Network analysis was employed to identify the core symptoms and bridge symptoms across different states.

RESULTS

Anxiety and depression were the most central symptoms, without gender differences. Core symptoms, network structure, and network invulnerability varied across different psychological states. The abnormal group exhibited the highest value of natural connectivity, followed by the suspected and normal groups. This pattern extended to bridge networks. While not meeting diagnostic criteria, the suspected group demonstrated abnormalities in network edge invariance and global strength invariance.

LIMITATIONS

The cross-sectional design cannot establish causality, and biases in self-report measurements cannot be ignored.

CONCLUSION

Compared to traditional scale indicators, network structural characteristics may be a more sensitive assessment indicator.

The efficacy of internet-based cognitive behavioral therapy for adult binge spectrum eating disorders: A meta-analysis

OBJECTIVE

Internet-Based Cognitive Behavioral Therapy (iCBT) is an innovative modality of cognitive-behavioral intervention that presents a promising therapeutic strategy for individuals diagnosed with binge spectrum eating disorders. This study employed a meta-analysis methodology to assess the clinical effectiveness and acceptability of iCBT.

METHODS

We conducted searches in databases such as PubMed, Embase, Web of Science, Cochrane Library, and PsycINFO, collecting literature that met the inclusion criteria until August 5, 2023.

RESULTS

A comprehensive analysis was conducted, encompassing a total of 11 randomized controlled studies that satisfied the predetermined criteria for inclusion. The summary results demonstrated that iCBT could significantly improve the pathological features related to eating in patients with binge spectrum eating disorders and also significantly reduce the frequency of binge episodes. Additionally, iCBT could ameliorate the depressive and anxious emotions of patients with binge spectrum eating disorders and boost their self-esteem. Furthermore, a notable disparity in dropout rates was seen in comparison to the control group.

LIMITATION

Heterogeneity across studies，limitations of self-assessment scales and potential publication bias.

CONCLUSION

iCBT can effectively assist patients with binge spectrum eating disorders in improving clinical symptoms. However, it is important to use caution when interpreting the findings of this study, as there are limitations pertaining to the quantity and quality of the included studies.

Mothers' and their children's emotional and behavioral symptom trajectories and subsequent maternal adjustment: Twenty-seven years of motherhood

BACKGROUND

This study aims to describe maternal depressive symptoms (MDS) trajectories in a longitudinal study extending from pregnancy to 27 years after the birth of the firstborn child. We also explored the associations of both MDS trajectories and child internalizing and externalizing problem trajectories with maternal adjustment (adaptive functioning, emotional and behavioral problems).

METHODS

The population-based study was conducted in Tampere, Finland, and the sample comprised 356 first-time mothers. MDS were screened with the Edinburgh Postnatal Depression Scale during pregnancy, first week after delivery, 2 and 6 months postnatally, and when the child was 4-5, 8-9, 16-17, and 26-27 years of age. The internalizing and externalizing problems of the children were assessed with the Child Behavior Checklist when the child was 4-5, 8-9, and 16-17 years of age. Maternal adaptive functioning and internalizing and externalizing problems were assessed with the Adult Self Report at 26-27 years after the birth of the first child. Complete follow-up data were available for 168 mothers.

RESULTS

We describe a three-group trajectory model of MDS (High Stable, Low Stable, Very Low). Elevated depressive symptom patterns were associated with less optimal maternal outcomes regarding both adaptive and problem dimensions. The child's internalizing and externalizing problem trajectories were associated with maternal internalizing and externalizing problems but not with maternal adaptive functioning.

LIMITATIONS

Maternal and child measures were based on maternal reports only.

CONCLUSIONS

The interconnectedness of the well-being of the mother and child should be noted in health and mental health services for adults and children.

The universality of anxiety experiences between Germany, Indonesia, and the US: A measurement invariance analysis

BACKGROUND

Generalized Anxiety Disorder-7 (GAD-7) is a widely used self-report that assesses generalized anxiety disorder symptomatology. Whilst previous studies have reported good-to-excellent psychometric properties across different languages, it remains unclear whether GAD-7 measures the same construct across Western and non-Western countries. Here, we tested the hypothesis that the GAD-7 is measurement invariant across Western and non-Western countries and the hypothesis that a less severe GAD symptomatology can be found in non-Western countries.

METHODS

The present study employed an online survey to examine the GAD-7's measurement invariance (MI) across community samples from Indonesia, Germany, and the USA (N = 2350). MI was computed using multiple-group confirmatory factor analyses with a general factor model of the GAD-7.

RESULTS

The general factor of the GAD-7 had good model fit and configural, metric, scalar, and residual MI across the three countries. No significant differences were found in mean scores (Indonesia, M = 1.78, SD = 0.64, Germany, M = 1.84, SD = 0.69, USA, M = 1.87, SD = 0.79; F (2, 1514) = 3.079, p = 0.046; Games-Howell post-hoc analysis, tGermany-Indonesia = 1.720, p = 0.199; tGermany-USA = 0.750, p = 0.734; tIndonesia-USA = 2.330, p = 0.053).

LIMITATIONS

This study's online nature may have inflated cross-country similarities and reduced data generalizability.

CONCLUSION

The full MI demonstrates the GAD-7 captures the same GAD construct across Western and non-Western countries. Inconsistent with the previous findings GAD severity levels were similar across countries. Despite some possible reservations, the GAD-7 appears to be a culturally fair GAD measure.

EEG coherences of the default mode network among patients comorbid with major depressive disorder and anxiety symptoms

BACKGROUND

Higher functional connectivity within the default mode network (DMN) has been found in functional magnetic resonance imaging (fMRI) studies of major depressive disorder (MDD). We used electroencephalogram (EEG) coherence as an index of functional connectivity to examine group differences in DMN between the MDD and healthy control (HC) groups during the resting state.

METHODS

MDD patients with comorbid anxiety symptoms (n = 154) and healthy controls (n = 165) completed the questionnaires of depression, anxiety, and rumination. A 19-channel EEG recording was measured under resting state for all participants. EEG coherences of the delta, theta, alpha, beta, and high beta in the anterior DMN (aDMN), posterior DMN (pDMN), aDMN-pDMN, DMN-parahippocampal gyrus (PHG), and DMN-temporal gyrus were compared between the two groups. The correlations between rumination, anxiety, and DMN coherence were examined in the MDD group.

RESULTS

(1) No difference was found in the delta, theta, alpha, and beta within the DMN brain regions between the two groups; the MDD group showed higher high beta coherence within DMN brain regions than the HC group. (2) Rumination was negatively correlated with theta coherence of aDMN, and positively correlated with beta coherence of aDMN and with alpha coherence of pDMN and DMN-PHG. (3) Anxiety was positively correlated with high beta coherence of aDMN, pDMN, and DMN-PHG.

CONCLUSIONS

MDD patients with comorbid anxiety symptoms exhibited hypercoherence within the DMN brain regions. Hypercoherences were related to symptoms of rumination, and anxiety may be a biomarker for MDD patients with comorbid anxiety symptoms.

Effect of virtual reality-based biofeedback for depressive and anxiety symptoms: Randomized controlled study

BACKGROUND

The use of virtual reality (VR)-based biofeedback (BF), a relatively new intervention, is a non-pharmacological treatment of depressive and anxiety symptoms. However, studies on VR-based BF are lacking and inconclusive.

METHODS

A total of 131 adults were recruited from the community. Participants who scored ≥10 on the Patient Health Questionnaire-9 (PHQ-9) or ≥9 on the Panic Disorder Severity Scale (PDSS) were included in the group with depressive or anxiety symptoms (DAS group), and others as the healthy control group (HC group). Participants from the DAS group were randomly assigned to VR-based or conventional BF intervention. All individuals visited at three times (weeks 0, 2, and 4), and completed the Montgomery-Asberg Depression Rating Scale (MADRS), the State-Trait Anxiety Inventory (STAI), and a visual analog scale (VAS) before and after the intervention, and PHQ-9 at the beginning and final visit.

RESULTS

The analysis included a total of 118 participants (DAS/VR: 40, DAS/BF: 38, HC/VR: 40). There was no significant difference in demographic variables among the three groups. After the intervention, the DAS/VR group exhibited significant decreases in MADRS (70.0 %), PHQ-9 (64.1 %), STAI (29.5 %), and VAS (61.7 %) scores compared to the baseline (p <0.001). There were no significant differences between the effects of VR-based BF and conventional BF with a therapist. The HC group also showed significant decreases in the measures of depression and anxiety after receiving VR-based BF.

CONCLUSION

VR-based BF was effective in reducing depressive and anxiety symptoms, even for subthreshold depression and anxiety symptoms in the HC group.

Could school climate moderate the relationship between school bullying patterns and academic burnout in Chinese adolescents: A large cross-sectional study

OBJECTIVES

Students who are bullied not only affect academic performance, but also produce a range of psychological problems. The purpose of the present study was to investigate the association between school bullying and academic burnout among Chinese students, assuming school climate to play a moderating role in the aforementioned relationship. This study provides corresponding intervention strategies and reference data for the prevention and treatment of bullying in schools.

METHODS

The data was obtained by a cross-sectional survey of 20,730 Chinese students from 23rd May to 23rd June 2022. Multiple linear regressions and Latent Profile Analysis (LPA) were used to examine the hypotheses.

RESULTS

This study revealed that all dimensions of school bullying and school bullying level (β = -0.09; 95 % CI, -4.946, -3.833) were associated with academic burnout. Verbal bullying (β = 0.15; 95 % CI, 1.689, 1.972) had the strongest association with academic burnout, followed by social (β = 0.14; 95 % CI, 1.496, 1.779) and physical bullying (β = 0.13; 95 % CI, 1.451, 1.734), while cyber bullying (β = 0.08; 95 % CI, 0.847, 1.127) had the weakest association with academic burnout. In addition, school climate can moderate the association between school bullying and academic burnout. Students who experienced school bullying and in bad school climate showed elevated levels of academic.

LIMITATIONS

This study used cross-sectional data, preventing us from drawing conclusions about causation.

CONCLUSIONS

The findings suggested that creating a harmonious school climate and reducing school bullying may effectively alleviate academic burnout caused by school climate and school bullying.

Inconsistency in psychological resilience and social support with mental health in early adolescents: A multilevel response surface analysis approach

BACKGROUND

Given the high prevalence of adolescent mental health problems, promoting understanding and implementation of protective factors is crucial for prevention and intervention efforts addressing adolescent mental health problems. This study aims to investigate whether consistency and inconsistency in protective factors are associated with adolescent mental health problems and to inform adolescent mental health interventions that target the unique needs of adolescents and promote adolescent mental health.

METHODS

We used multistage cluster sampling to conduct psychological resilience, social support, and mental health questionnaires from April to June 2023 among 10,653 Chinese adolescents (52.3 % were boys). Data were analyzed using polynomial regressions with response surface analysis.

RESULTS

The higher levels of psychological resilience and social support in adolescents were associated with fewer mental health problems (anxiety: a1 = -1.83, P < 0.001; depression: a1 = -2.44, P < 0.001; and perceived stress: a1 = -1.20, P < 0.001). When the level of psychological resilience was greater than social support, the greater the discrepancy the higher the perceived stress among adolescents (a3 = 1.19, P < 0.001). Moreover, the consistency of psychological resilience and social support had a greater impact on girls' mental health (anxiety: a1 = -1.97, P < 0.001; depression: a1 = -2.71, P < 0.001; perceived stress: a1 = -1.23, P < 0.001).

LIMITATIONS

The cross-sectional study design limited the inference of causal relationships between variables.

CONCLUSIONS

These results emphasize that adolescents need a balanced development of protective factors and targeted intervention programs for different mental health problems.

Dimensional and Categorical Solutions to Parsing Depression Heterogeneity in a Large Single-Site Sample

BACKGROUND

Recent studies have reported significant advances in modeling the biological basis of heterogeneity in major depressive disorder, but investigators have also identified important technical challenges, including scanner-related artifacts, a propensity for multivariate models to overfit, and a need for larger samples with more extensive clinical phenotyping. The goals of the current study were to evaluate dimensional and categorical solutions to parsing heterogeneity in depression that are stable and generalizable in a large, single-site sample.

METHODS

We used regularized canonical correlation analysis to identify data-driven brain-behavior dimensions that explain individual differences in depression symptom domains in a large, single-site dataset comprising clinical assessments and resting-state functional magnetic resonance imaging data for 328 patients with major depressive disorder and 461 healthy control participants. We examined the stability of clinical loadings and model performance in held-out data. Finally, hierarchical clustering on these dimensions was used to identify categorical depression subtypes.

RESULTS

The optimal regularized canonical correlation analysis model yielded 3 robust and generalizable brain-behavior dimensions that explained individual differences in depressed mood and anxiety, anhedonia, and insomnia. Hierarchical clustering identified 4 depression subtypes, each with distinct clinical symptom profiles, abnormal resting-state functional connectivity patterns, and antidepressant responsiveness to repetitive transcranial magnetic stimulation.

CONCLUSIONS

Our results define dimensional and categorical solutions to parsing neurobiological heterogeneity in major depressive disorder that are stable, generalizable, and capable of predicting treatment outcomes, each with distinct advantages in different contexts. They also provide additional evidence that regularized canonical correlation analysis and hierarchical clustering are effective tools for investigating associations between functional connectivity and clinical symptoms.

Secondary analysis of neurotransmitter metabolism and cognitive function in first-diagnosed, drug-naïve adult patients with major depressive disorder

BACKGROUND & AIMS

Growing evidence suggests that neurotransmitters may be associated with cognitive decline in MDD. This study primarily investigated the differences in cognitive functions between MDD patients and healthy controls, and explored the potential association between neurotransmitters and cognitive function of MDD patients.

METHODS

This cross-sectional study enrolled 87 first-diagnosed and drug-naïve patients with MDD and 50 healthy controls. Neurotransmitters (glutamine, glutamic acid, γ-2Aminobutiric acid, kainate, vanillylmandelic acid (VMA), 3-methoxy 4-hydroxyphenyl ethylene glycol (MHPG), noradrenaline (NE), homovanillic acid, dihydroxy-phenyl acetic acid (DOPAC), dopamine (DA), tryptophane, kynurenine, 5-HT, 5-hydroxyindoleacetic acid) were measured using LC-MS/MS and cognitive functions were assessed by the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). Then associative analyses with adjustment (female, age, BMI, education) by multiple linear regression between neurotransmitters and cognitive functions especially in MDD patients were performed.

RESULTS

MDD patients had lower RBANS scores in immediate memory, delayed memory and RBANS scores after adjustment. Neurotransmitters were associated with the cognitive levels of MDD patients after adjustment: DOPAC and DOPAC/DA had positive association with immediate memory score; DOPAC, DOPAC/DA and (VMA+MHPG)/NE were positively associated with attention score; NE was negatively associated with language score; DOPAC/DA was positively associated with both delayed memory and RBANS scores.

CONCLUSION

Patients had greater cognitive impairment especially in memory. Furthermore, plasma neurotransmitter may be related to MDD and play an important role in cognitive impairment in MDD, especially in memory and attention.

Peripheral CD4+ T helper lymphocytes alterations in major depressive disorder: A systematic review and meta-analysis

Previous research has shown that patients with major depressive disorder (MDD) develop immune dysfunction. However, the exact alterations of cluster of differentiation (CD)4+ T helper (Th) lymphocytes in MDD remains unclear. This meta-analysis aimed to examine the specific changes in CD4+ Th cells. A comprehensive search of PubMed, EMBASE, Web of Science, and PsycINFO databases was conducted to identify studies investigating CD4+ Th, Th1, Th2, Th17, and T regulatory (Treg) cell counts in the peripheral blood of MDD patients and healthy controls (HCs), covering the period up to June 22, 2024. Our findings revealed that patients with MDD might exhibit higher CD4+ Th cells (SMD=0.26, 95 %CI, 0.02 to 0.50), CD4+/CD8+ cell ratios (SMD=0.51, 95 %CI, 0.14 to 0.89), Th1/Th2 cell ratios (SMD=0.15, 95 %CI, 0.01 to 0.30) and lower Th1 (SMD=-0.17, 95 %CI, -0.30 to -0.03), Th2 (SMD=-0.25, 95 %CI, -0.40 to -0.11), and Treg cells (SMD=-0.69, 95 %CI, -1.27 to -0.11). However, no significant difference was observed in terms of Th17 cells and Th17/Treg cell ratios between MDD patients and the HCs. Heterogeneity was large (I2:18.1-95.2 %), and possible sources of heterogeneity were explored (e.g., age, depression scale, country, and antidepressant use). Our findings indicate that peripheral CD4+ T cells in depressed patients exhibit features of adaptive immune dysfunction, as evidenced by increased CD4+ Th cells and CD4+/CD8+ and decreased Treg cells. These findings offer insights into the underlying mechanism of MDD.