Global prevalence and burden of depressive and anxiety disorders in 204 countries and territories in 2020 due to the COVID-19 pandemic

Prevalence and associated factors for poor mental health among young migrants in Sweden: a cross-sectional study

BACKGROUND

Young migrants face multiple challenges that can affect their mental, sexual and reproductive health.

OBJECTIVE

To assess the prevalence of self-reported poor mental health and its associated demographic, post-migration and sexual risk behaviour factors among young migrants (aged 15-25) in Sweden.

METHODS

Data were drawn from a cross-sectional survey conducted with migrants aged 15-65 years old in Sweden between December 2018 and November 2019 (n = 6449). Among these, 990 participants aged 15-25 were eligible for the study. Mental health was measured using the Refugee Health Screener-13. Missing data indicator analysis and multivariable logistic regression models were conducted to estimate the association between mental health, sexual risk behaviour, demographic and migration-related variables.

RESULTS

Of the 990 participants, 59% reported poor mental health. Participants reporting poor mental health were more likely to be female (AOR:1.63, 95% CI:1.18-2.25), to have lived in Sweden more than three years (AOR:2.16, 95% CI:1.17-3.97), to engage in any sexual risk behaviour (AOR:1.99, 95% CI:1.25-3.17), and to live alone (AOR:1.95, 95% CI:1.25-3.03) or with friends they already knew (AOR:1.60, 95% CI:1.37-4.91). People arriving from the Americas (AOR:0.54, 95% CI:0.33-0.88), Asia (AOR:0.44, 95% CI:0.22-0.86), Europe (AOR:0.30, 95% CI:0.14-0.61) and Africa (AOR 0.37, 95% CI: 0.23-0.60) had lower odds of poor mental health than those arriving from Syria.

CONCLUSION

The prevalence of poor mental health among young migrants in Sweden was high, with specific subgroups (women, asylum seekers, people arriving from Syria, and those residing longer in Sweden) being particularly vulnerable. Our results indicate the interconnectedness between poor mental health and sexual risk behaviour in this population. Thus, policies targeting young migrants should ensure that healthcare services screen for both poor sexual and mental health at the same time.

The association between urbanization and depression in the elderly: A network analysis from the complexity science perspective

IMPORTANCE

The global increase in urbanization has coincided with a rise in depression prevalence. However, the effect of urbanization on depression remains controversial, especially for the elderly.

OBJECTIVE

To clarify how urbanization impacts depression in the elderly from a network perspective.

DESIGN, SETTING, AND PARTICIPANTS

This sectional cohort study used data from China Health and Retirement Longitudinal Study (CHARLS).

MAIN OUTCOMES AND MEASURES

The occurrence of depressive symptoms in urban and rural elderly residents. Network metrics of depressive symptoms.

RESULTS

Of the 13,993 participants, lower incidence of depressive symptoms was observed in urban (26.3 %, 95 % CI, 24.7 %-27.8 %) than in rural (40.4 %, 95 % CI, 39.5 %-41.3 %, P < 0.0001) residents. However, higher incidence of depressive symptoms was observed in urban (26.3 %, 95 % CI, 25.2 %-28.4 %) than in rural (17.5 %, 95 % CI, 16.1 %-18.9 %, P < 0.0001) residents in a subset of 2898 pairs of participants after PSM. No difference in the network structure and metrics between urban and rural residents before (M = 0.071, p = 0.054, S = 0.037, p = 0.80) and after (M = 0.085, p = 0.133, S = 0.086, p = 0.47) PSM was detected. The networks structure revealed that negative affect was strongly connected to somatic symptoms and that the two anhedonic symptoms were also strongly connected.

CONCLUSIONS

The current study indicated the homogeneity of the ultimate nature of depression between rural and urban residents from the network perspective, supporting the viewpoint that urbanization might not impose influence on depression. Further researches delving deeper into the complexity of the issue may provide new insights into our understanding of depression in an urban environment among the elderly.

Antidepressants in People With Chronic Liver Disease and Depression: When Are They Warranted and How to Choose the Suitable One?

Most chronic medical illnesses are associated with significant psychiatric comorbidity, especially in the form of depression, anxiety, and suicidality. Chronic liver disease (CLD) is no exception to this and rather is placed uniquely as compared to other diseases because of its intersection with alcohol use disorder and other substance use, which in itself is a mental illness. Patients with CLD may have comorbid psychiatric illnesses; the pharmacokinetic concerns arising out of hepatic dysfunction which affects pharmacotherapy for depression and vice versa. The high prevalence of medical comorbidities with CLD may further complicate the course and outcome of depression in such patients, and diagnostic and management issues arise from special situations like transplant evaluation, alcohol use disorder, and hepatic encephalopathy or multifactorial encephalopathy seen in a disoriented or agitated patient with CLD. For this narrative review, we carried out a literature search in PubMed/PubMed Central and in Google Scholar (1980-2023) with the keywords "depression in cirrhosis", "antidepressants in liver disease", "anxiety in liver disease", "depression in liver transplantation", and "drug interactions with antidepressants". This review presents a comprehensive view of the available research on the use of antidepressants in patients with CLD, including deciding to use them, choosing the right antidepressant, risks, drug interactions, and adverse reactions to expect, and managing the same. In addition, liver transplant fitness and the overlap of hepatic encephalopathy with neuropsychiatric illness will be discussed.

Waning waves of mood: The declining trend of hospitalized patients with affective disorders in Germany

INTRODUCTION

Affective disorders profoundly affect individuals' emotional well-being and quality of life. This study investigates the epidemiology of affective disorders in Germany from 2011 to 2021, focusing on incidence rates, age- and sex-standardized rates, and developmental trends.

METHODS

Using nationwide data of ICD-10 diagnosis codes from 2011 to 2021, this cross-sectional study analyzed inpatient cases of affective disorders in individuals aged 20 years or older. Age- and sex-standardized incidence rates were calculated based on the population size of each birth cohort in the 16 German federal states. Incidence rate ratios (IRRs) for 2011 to 2021 and 2019 to 2021 were compared with a two-sample z-test.

RESULTS

Between 2011 and 2021, F30 (manic episode) showed a decline of 42.8 % to an incidence of 4.9 per 100,000 inhabitants, even though not statistically significant (p = 0.322). F31 (bipolar affective disorder) remained relatively stable with a reduction of 15.3 % to an incidence of 13.6 per 100,000 inhabitants in 2021 (p = 0.653). F32 (depressive episode) decreased statistically significant by 25.7 % to an incidence of 64.1 per 100,000 inhabitants (p = 0.072). F33 (recurrent depressive disorder) slightly increased by 18.3 % to an incidence of 94.6 per 100,000 inhabitants (p = 0.267). No statistically significant differences were found when comparing the COVID-19 pandemic year 2021 to 2019 incidences (p ≥ 0.529).

CONCLUSION

The study provides valuable insights into the changing landscape of affective disorders in Germany over the past decade. The observed decline in incidence rates underscores the importance of continued efforts to promote mental health awareness and access to care.

Greater within- and between-day instability is associated with worse anxiety and depression symptoms

BACKGROUND

Depression and anxiety affect hundreds of millions of people worldwide, and their prevalence increased during the COVID-19 pandemic as social schedules were disrupted. This study explores the associations between anxiety and depression and within- and between-day instability of affective, somatic, and cognitive symptoms during the early pandemic stages.

METHODS

Participants (n = 153, ages 18-77, 72 % female) reported daily levels of affective (anxiety/sadness), somatic (appetite/sleepiness), and cognitive (concentration/energy) symptoms for 14-44 days at five timepoints: 0, 3, 6, 9, and 12 h after awakening. At the end of the study, participants completed validated scales for anxiety (GAD-7) and depression (PHQ-9). Symptom instability was assessed using the Absolute Real Variability (ARV) index. Regression models examined within-day instability (WD-I) and between-day instability (BD-I) with GAD-7 and PHQ-9 scores as outcomes.

RESULTS

Greater instability (both WD-I and BD-I) of affective symptoms correlated with elevated GAD-7 and PHQ-9 scores. For somatic and cognitive symptoms, greater BD-I was associated with higher scores.

LIMITATIONS

The study used retrospective daily data, which could benefit from real-time assessments for improved accuracy.

CONCLUSIONS

This study provides empirical evidence of a connection between greater anxiety and depression severity and increased instability in daily mood and physiological symptoms. The findings underscore the importance of consistent symptom monitoring to understand overall mental health trajectories. Additionally, it highlights the role of daily routines in stabilizing the circadian system, potentially regulating physiological and psychological processes and reducing symptom instability.

The therapeutic effectiveness of artificial intelligence-based chatbots in alleviation of depressive and anxiety symptoms in short-course treatments: A systematic review and meta-analysis

BACKGROUND

The emergence of artificial intelligence-based chatbot has revolutionized the field of clinical psychology and psychotherapy, granting individuals unprecedented access to professional assistance, overcoming time constraints and geographical limitations with cost-effective convenience. However, despite its potential, there has been a noticeable gap in the literature regarding their effectiveness in addressing common mental health issues like depression and anxiety. This meta-analysis aims to evaluate the efficacy of AI-based chatbots in treating these conditions.

METHODS

A systematic search was executed across multiple databases, including PubMed, Cochrane Library, Web of Science, PsycINFO, and Embase on April 4th, 2024. The effect size of treatment efficacy was calculated using the standardized mean difference (Hedge's g). Quality assessment measures were implemented to ensure trial's quality.

RESULTS

In our analysis of 18 randomized controlled trials involving 3477 participants, we observed noteworthy improvements in depression (g = -0.26, 95 % CI = -0.34, -0.17) and anxiety (g = -0.19, 95 % CI = -0.29, -0.09) symptoms. The most significant benefits were evident after 8 weeks of treatment. However, at the three-month follow-up, no substantial effects were detected for either condition.

LIMITATIONS

Several limitations should be considered. These include the lack of diversity in the study populations, variations in chatbot design, and the use of different psychotherapeutic approaches. These factors may limit the generalizability of our findings.

CONCLUSION

This meta-analysis highlights the promising role of AI-based chatbot interventions in alleviating depressive and anxiety symptoms among adults. Our results indicate that these interventions can yield substantial improvements over a relatively brief treatment period.

Frontal Theta Asymmetry may be a new target for reducing the severity of depression and improving cognitive function in depressed patients

BACKGROUND

The prevalence of depressive disorder is increasing due to a variety of factors, which brings a huge strain on individuals, families and society. This study aims to investigate whether there is Frontal Theta Asymmetry (FTA) in depressed patients, and whether FTAs are related to depression severity and cognitive function changes in depressed patients.

METHODS

Participants who met the inclusion criteria were enrolled in this study. Socio-demographic data of each participant were recorded. Zung's self-rating Depression Scale was used to assess the depression status of participants. P300 was used to evaluate the cognitive function of participants. EEG data from participants were collected by the NeuroScan SynAmps RT EEG system. t-test, Wilcoxon rank-sum test and Chi-square test were used to detect the differences of different variables between the two groups. Multiple linear regression analysis and multiple logistic regression analysis were used to analyze relationships between FTAs in different regions and participants' depression status and cognitive function.

RESULTS

A total of 66 depressed participants and 47 healthy control participants were included in this study. The theta spectral power of the left frontal lobe was slightly stronger than that of the right frontal lobe in the depression group, while the opposite was true in the healthy control group. The FTA in F3/F4 had certain effects on the emergence of depression in participants, the emergence of depression in participants and Changes in cognitive function.

CONCLUSIONS

FTAs are helpful to assess the severity of depression and early identify cognitive impairment in patients with depression.

Network analysis for inter-relationships of the suboptimal health status with depression and anxiety during the COVID-19 pandemic: A perspective of predictive, preventive, and personalized health

BACKGROUND

The Coronavirus Disease-2019 (COVID-19) pandemic has had a profound impact on suboptimal health status, depression, and anxiety, necessitating a comprehensive understanding of their inter-relationships at the national level. This study aims to investigate the inter-relationships among suboptimal health status, depression, and anxiety using a network analysis approach.

METHODS

We conducted a national survey between June 20 and August 31, 2022. Three network models were constructed and analyzed to independently examine the inter-relationships among suboptimal health status, depression, and anxiety.

RESULTS

A total of 26,152 participants were included in this study. The study network analysis indicated that item 9 (i.e., Slow response) exhibited the highest node strength within the suboptimal health status questionnaire-short form (SHSQ-SF) network, followed by item 5 (i.e., Breathlessness at rest). Additionally, positive correlations were observed between depression and anxiety severity and most of the SHSO-SF items.

CONCLUSIONS

This study provided valuable insights into inter-relationships between suboptimal health status, depression, and anxiety, informing the development of comprehensive intervention strategies for the general population. These findings have important implications for promoting the well-being and mental health of individuals during and beyond the COVID-19 pandemic.

Post-traumatic stress, depression, and anxiety during the 2021 Myanmar conflict: a nationwide population-based survey

Background

The UN warns that Myanmar faces the 'triple crises' of mass conflict, uncontrolled COVID-19, and economic collapse. Therefore, we aimed to assess the population mental health burden, healthcare needs, and the associated risk factors in Myanmar.

Methods

We established a nationwide random sample and recruited 1038 adults via random digit dialling from July 3-Aug 9, 2021, during the ongoing conflict since Feb 1, 2021, and surge in SARS-CoV-2 infections. Probable post-traumatic stress disorder (PTSD) was assessed using the PTSD Checklist-Civilian Version. Probable depression and anxiety were assessed using the Patient Health Questionnaire-2 and the Generalized Anxiety Disorder-2. We calculated population attributable fractions for probable mental disorders using multivariable logistic regression models. Based on the mental health burden and healthcare-seeking patterns, we projected the need for mental health services.

Findings

During the 'triple crises', a third of adults in Myanmar (34.9%, 95% CI 32.0-37.7) reported a probable mental disorder. Prevalence of probable PTSD, depression, and anxiety were 8.1% (6.6-9.7), 14.3% (12.0-16.6), and 22.2% (19.7-24.7), respectively. We estimated that up to 79.9% (43.8-97.9) of probable PTSD was attributable to political stress. This corresponds to 2.1 million (1.1-3.2 million) fewer adults with probable PTSD if political stress was removed from the population. The mental health burden could translate into roughly 5.9 million adults seeking mental health services.

Interpretation

The mental health burden in Myanmar is substantial, and population mental health might only be restored when the three crises have ended. An accelerated peace process is critical to protecting Myanmar's population mental health.

Funding

This research was supported the Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. HKU 17606122) and the Michele Tansella Award.

Coprococcus eutactus screened from healthy adolescent attenuates chronic restraint stress-induced depression-like changes in adolescent mice: Potential roles in the microbiome and neurotransmitter modulation

The onset of depression commonly occurs in adolescence; therefore, depressive prevention and intervention are pivotal during this period. It is becoming evident that neurotransmitter imbalance and gut microbiota dysbiosis are prominent causes of depression. However, the underlying links and mechanisms remain poorly understood. In this study, with 16S ribosomal RNA gene sequencing, genus Coprococcus markedly differentiated between the healthy and unmedicated depressive adolescents. Based on this, transplantation of Coprococcus eutactus (C.e.) was found to dramatically ameliorate the chronic restraint stress (CRS) induced depression-like changes and prevent synaptic loss and glial-stimulated neuroinflammation in mice. The Ultra-high performance liquid chromatography tandem mass spectrometry analysis (UHPLC-MS/MS) further showed that neurotoxic neurotransmitters in kynurenine pathway (KP) such as 3-hydroxykynurenine (3-HK) and 3-hydroxyanthranilic acid (3-HAA) decreased in mouse brains, mechanistically deciphering the transfer of the tryptophan metabolic pathway to serotonin metabolic signaling in the brain after C.e. treatment, which was also verified in the colon. Molecularly, blockage of KP activities mediated by C.e. was ascribed to the restraint of the limit-step enzymes responsible for kynurenine, 3-HK, and quinolinic acid generation. In the colon, C.e. treatment significantly recovered goblet cells and mucus secretion in CRS mice which may ascribe to the rebalance of the disordered gut microbiota, especially Akkermansia, Roseburia, Rikenella, Blautia, and Alloprevotella. Taken together, the current study reveals for the first time the beneficial effects and potential mechanisms of C.e. in ameliorating CRS-induced depression, unraveling the direct links between C.e. treatment and neurotransmitter rebalance, which may provide efficacious therapeutic avenues for adolescent depressive intervention.

Major depressive disorder recognition by quantifying EEG signal complexity using proposed APLZC and AWPLZC

BACKGROUND

Seeking objective quantitative indicators is important for accurately recognizing major depressive disorder (MDD). Lempel-Ziv complexity (LZC), employed to characterize neurological disorders, faces limitations in tracking dynamic changes in EEG signals due to defects in the coarse-graining process, hindering its precision for MDD objective quantitative indicators.

METHODS

This work proposed Adaptive Permutation Lempel-Ziv Complexity (APLZC) and Adaptive Weighted Permutation Lempel-Ziv Complexity (AWPLZC) algorithms by refining the coarse-graining process and introducing weight factors to effectively improve the precision of LZC in characterizing EEGs and further distinguish MDD patients better. APLZC incorporated the ordinal pattern, while False Nearest Neighbor and Mutual Information algorithms were introduced to determine and adjust key parameters adaptively. Furthermore, we proposed AWPLZC by assigning different weights to each pattern based on APLZC. Thirty MDD patients and 30 healthy controls (HCs) were recruited and their 64-channel resting EEG signals were collected. The complexities of gamma oscillations were then separately computed using LZC, APLZC, and AWPLZC algorithms. Subsequently, a multi-channel adaptive K-nearest neighbor model was constructed for identifying MDD patients and HCs.

RESULTS

LZC, APLZC, and AWPLZC algorithms achieved accuracy rates of 78.29 %, 90.32 %, and 95.13 %, respectively. Sensitivities reached 67.96 %, 85.04 %, and 98.86 %, while specificities were 88.62 %, 95.35 %, and 89.92 %, respectively. Notably, AWPLZC achieved the best performance in accuracy and sensitivity, with a specificity limitation.

LIMITATION

The sample size is relatively small.

CONCLUSION

APLZC and AWPLZC algorithms, particularly AWPLZC, demonstrate superior effectiveness in differentiating MDD patients from HCs compared with LZC. These findings hold significant clinical implications for MDD diagnosis.

Efficacy and acceptability of S-adenosyl-L-methionine (SAMe) for depressed patients: A systematic review and meta- analysis

This systematic review and meta-analysis aimed to assess the efficacy and acceptability of S-adenosyl-L-methionine (SAMe) in treating depression. We conducted a comprehensive search of PubMed, Embase, Cochrane Library, and ClinialTrials.gov from inception to July 3, 2023, identifying randomized controlled trials comparing SAMe with placebo or antidepressants (ADs). We synthesized data on reduced depressive symptoms (efficacy) and overall dropout rates (acceptability) using a random-effects model for pairwise frequentist meta-analysis. Our analysis included 23 trials (N = 2183) classified into three categories: 11 trials comparing SAMe and placebo, 5 trials comparing SAMe plus ADs and placebo plus ADs, and 7 trials comparing SAMe and ADs. Differences between experimental and control interventions in reducing depressive symptoms were observed: i) SAMe demonstrated significantly superior efficacy compared to placebo (SMD = -0.58, 95% CI = -0.93 to -0.23, I2 = 68%); ii) in conjunction with ADs, SAMe did not show a significant difference from placebo (SMD = -0.22, 95%CI = -0.63 to 0.19, I2 = 76%); and iii) SAMe did not exhibit a significant difference from ADs alone (SMD = 0.06, 95%CI = -0.06 to 0.18, I2 = 49%). No significant differences in dropout rates were observed across the three comparison categories. Moderate-certainty evidence suggests that SAMe monotherapy may offer a moderate therapeutic benefit in alleviating depressive symptoms. Considering its favorable acceptability profile, SAMe monotherapy should be considered as a treatment option for patients with depression. However, uncertainties regarding its efficacy as an adjunct to AD and its comparative efficacy with ADs remain unresolved.

The bidirectional relationship of depression and disturbances in B cell homeostasis: Double trouble

Major depressive disorder (MDD) is a recurrent, persistent, and debilitating neuropsychiatric syndrome with an increasing morbidity and mortality, representing the leading cause of disability worldwide. The dysregulation of immune systems (including innate and adaptive immune systems) has been identified as one of the key contributing factors in the progression of MDD. As the main force of the humoral immunity, B cells have an essential role in the defense against infections, antitumor immunity and autoimmune diseases. Several recent studies have suggested an intriguing connection between disturbances in B cell homeostasis and the pathogenesis of MDD, however, the B-cell-dependent mechanism of MDD remains largely unexplored compared to other immune cells. In this review, we provide an overview of how B cell abnormality regulates the progression of MMD and the potential consequence of the disruption of B cell homeostasis in patients with MDD. Abnormalities of B-cell homeostasis not only promote susceptibility to MDD, but also lead to an increased risk of developing infection, malignancy and autoimmune diseases in patients with MDD. A better understanding of the contribution of B cells underlying MDD would provide opportunities for identification of more targeted treatment approaches and might provide an overall therapeutic benefit to improve the long-term outcomes of patients with MDD.

Patterns of gender inequality perception and depressive symptoms among Chinese adults: The mediating role of marital life satisfaction

OBJECTIVES

As one of the most severe public health issues, depressive symptoms have attracted wide attention around the world. This study aims to investigate the mediating role of marital life satisfaction in the relationship between gender inequality perception and depressive symptoms.

METHODS

Data were obtained from the China Family Panel Studies (CFPS) conducted in 2020. This study incorporated a total of 13,409 married residents aged 20 and above.

RESULTS

The residents with middle (B = 0.19, 95 % CI = 0.01, 0.40) or high perception of gender inequality (B = 0.55, 95 % CI = 0.34, 0.75) were more likely to develop depressive symptoms. Marital life satisfaction plays a mediating effect in the relationship between patterns of gender inequality perception and depressive symptoms, and the mediating effect accounted for 4.89 % or 1.37 % of the total impact in the residents with middle or high patterns of gender inequality perception.

LIMITATIONS

Further studies need to understand the mechanisms of perceived patterns of gender inequality and depressive symptoms, because the cross-sectional design in this study cannot draw causal inferences.

CONCLUSION

Patterns of gender inequality perception are significantly associated with depressive symptoms. Marital life satisfaction plays a mediating role in the relationship between patterns of gender inequality perception and depressive symptoms. It is plausible that nurturing healthy marital relationships could mitigate depressive symptoms in individuals who perceive high degrees of gender disparity.

Disorder-specific versus transdiagnostic cognitive mechanisms in anxiety and depression: Machine-learning-based prediction of symptom severity

INTRODUCTION

Psychiatric evaluation of anxiety and depression is currently based on self-reported symptoms and their classification into discrete disorders. Yet the substantial overlap between these disorders as well as their within-disorder heterogeneity may contribute to the mediocre success rates of treatments. The proposed research examines a new framework for diagnosis that is based on alterations in underlying cognitive mechanisms. In line with the Research Domain Criteria (RDoC) approach, the current study directly compares disorder-specific and transdiagnostic cognitive patterns in predicting the severity of anxiety and depression symptoms.

METHODS

The sample included 237 individuals exhibiting differing levels of anxiety and depression symptoms, as measured by the STAI-T and BDI-II. Random Forest regressors were used to analyze their performance on a battery of six computerized cognitive-behavioral tests targeting selective and spatial attention, expectancy, interpretation, memory, and cognitive control biases.

RESULTS

Unique anxiety-specific biases were found, as well as shared anxious-depressed bias patterns. These cognitive biases exhibited relatively high fitting rates when predicting symptom severity (questionnaire scores common range 0-60, MAE = 6.03, RMSE = 7.53). Interpretation and expectancy biases exhibited the highest association with symptoms, above all other individual biases.

LIMITATIONS

Although internal validation methods were applied, models may suffer from potential overfitting due to sample size limitations.

CONCLUSION

In the context of the ongoing dispute regarding symptom-centered versus transdiagnostic approaches, the current study provides a unique comparison of these two views, yielding a novel intermediate approach. The results support the use of mechanism-based dimensional diagnosis for adding precision and objectivity to future psychiatric evaluations.

Association between depression and diabetes mellitus and the impact of their comorbidity on mortality: Evidence from a nationally representative study

BACKGROUND

Depression and diabetes mellitus (DM) are major chronic noncommunicable diseases that impair one's mental and physical well-being and impose substantial burdens on the health system. Depressed individuals have an increased risk of impaired blood glucose, weight gain and dyslipidemia which could induce poorer long-term survival.

METHODS

37,040 individuals from the National Health and Nutrition Examination Survey (NHANES) were included. Depressive symptoms were assessed by the Patient Health Questionnaire (PHQ-9) and classified by the total scores as no (0-4), mild (5-9), moderate (10-14), and severe (15-27). DM was determined based on self-reported medical history, clinical test results, and medication use. Logistic and Cox regression were the main statistical models. All analyses were based on weighted data from complex sampling.

RESULTS

The prevalence of DM was higher in depressed than non-depressed individuals (21.26 % vs. 13.75 %). The adjusted odds ratio (OR) (95 % CI) of comorbid DM increased with depression severity, from 1.00 (reference) for no depression, to 1.22 (1.09,1.36) for mild, 1.62 (1.37,1.92) for moderate, and 1.52(1.28,1.82) for severe depression. Comorbidity of DM and depression significantly associated with a higher risk of all-cause mortality, with a hazard ratio (HR) (95 % CI) = 2.09 (1.64,2.66).

LIMITATIONS

Dynamic demographic and metabolic data were not available.

CONCLUSION

Depression is associated with a higher risk of DM, which may be related to biological, socioeconomic, and medication-related factors. Comorbidity of the two worsens long-term survival. Therefore, blood glucose management and prevention of DM should be emphasized in depressed patients.

Preventable suicides involving medicines: A systematic case series of coroners' reports in England and Wales

Background

In England and Wales coroners have a duty to write a report, called a Prevention of Future Deaths report or PFD, when they believe that actions should be taken to prevent future deaths. Coroners send PFDs to individuals and organisations who are required to respond within 56 days. Despite the increase in mental health concerns and growing use of medicines, deaths reported by coroners that have involved medicine-related suicides had not yet been explored. Therefore, this study aimed to systematically assess coroners' PFD reports involving suicides in which a medicine caused or contributed to the death to identify lessons for suicide prevention.

Methods

Using the Preventable Deaths Tracker database (https://preventabledeathstracker.net/), 3037 coroners' PFD reports in England and Wales were screened for eligibility between July 2013 and December 2019. Reports were included if they involved suicide or intentional self-harm and prescribed or over-the-counter medication; illicit drugs were excluded. Following data extraction, descriptive statistics, document and content analysis were performed to assess coroners' concerns and the recipients of reports.

Results

There were 734 suicide-related coroner reports, with 100 (14%) reporting a medicine. Opioids (40%) were the most common class involved, followed by antidepressants (30%). There was wide geographical variation in the writing of reports; coroners in Manchester wrote the most (18%). Coroners expressed 237 concerns; the most common were procedural inadequacies (14%, n = 32), inadequate documentation and communication (10%, n = 22), and inappropriate prescription access (9%, n = 21). 203 recipients received the PFDs, with most sent to NHS trusts (31%), clinical commissioning groups (10%), and general practices (10%), of which only 58% responded to the coroner.

Conclusions

One in four coroner reports in England and Wales involved suicides, with one in seven suicide-related deaths involving a medicine. Concerns raised by coroners highlighted gaps in care that require action from the Government, health services, and prescribers to aid suicide prevention. Coroner reports should be routinely used and monitored to inform public health policy, disseminated nationally, and responses to coroners should be transparently enforced so that actions are taken to prevent future suicides.

Training-related improvements in mental well-being through reduction in negative interpretation bias: A randomized trial of online socio-emotional dyadic and mindfulness interventions

BACKGROUND

Effects of online contemplative practices, especially partner-based practices, on psychological well-being remain mixed, with sparse understanding of potential affective-cognitive mechanisms. The study aimed to assess the efficacy of two online contemplative interventions in improving depression, anxiety, emotion regulation (ER), and resilience, and to evaluate the mechanistic role of negative attention and interpretation biases.

METHODS

Employing a randomized controlled design (n = 285), we compared the efficacy of 10-week online mindfulness-based and partner-based socio-emotional dyadic interventions, both supported by weekly coaching sessions. Mental health aspects were assessed using validated self-report measures and negative biases using the mouse-contingent Scrambled Sentences Task.

RESULTS

Both interventions, compared to waitlist control, led to reductions in depression and ER difficulties, while trait anxiety decreased only after mindfulness training. Increases in multidimensional resilience were observed only after socio-emotional training and in stress recovery only after mindfulness-based training, both compared to waitlist control. Socio-emotional training led to significant reductions in negative interpretation bias and this mediated reductions in depression and trait anxiety. Neither training led to reductions in state anxiety or negative attention bias.

LIMITATIONS

The subclinical nature and overrepresentation of females in the sample limits generalizability.

CONCLUSIONS

Findings indicate that online mindfulness-based and socio-emotional partner-based interventions, supported by online coaching sessions, can reduce depression and ER difficulties. Though mindfulness practice reduced trait anxiety and enhanced stress recovery, socio-emotional training increased multidimensional resilience. Socio-emotional training reduced negative interpretation bias, which emerged as an intervention-specific mechanism. These findings highlight the potential benefits of online contemplative intervention approaches for psychological well-being.

Unravelling the dynamics of mental health inequalities in England: A 12-year nationwide longitudinal spatial analysis of recorded depression prevalence

Background

Depression is one of the most significant public health issues, but evidence of geographic patterns and trends of depression is limited. We aimed to examine the spatio-temporal patterns and trends of depression prevalence among adults in a nationwide longitudinal spatial study in England and evaluate the influence of neighbourhood socioeconomic deprivation in explaining patterns.

Methods

Information on recorded depression prevalence was obtained from the indicator Quality and Outcomes Framework: Depression prevalence that measured the annual percentage of adults diagnosed with depression for Lower Super Output Areas (LSOA) from 2011 to 2022. We applied Cluster and Outlier Analysis using the Local Moran's I algorithm. Local effects of deprivation on depression in 2020 examined with Geographically Weighted Regression (GWR). Inequalities in recorded prevalence were presented using Prevalence Rate Ratios (PRR).

Results

The North West Region of England had the highest concentration of High-High clusters of depression, with 17.4% of the area having high values surrounded by high values in both space and time and the greatest percentage of areas with a high rate of increase (43.1%). Inequalities widened among areas with a high rate of increase in prevalence compared to those with a lower rate of increase, with the PRR increasing from 1.66 (99% CI 1.61-1.70) in 2011 to 1.81 (99% CI 1.76-1.85) by 2022. Deprivation explained 3%-39% of the variance in depression in 2020 across the country.

Conclusions

It is crucial to monitor depression's spatial patterns and trends and investigate mechanisms of mental health inequalities. Our findings can help identify priority areas and target prevention and intervention strategies in England. Evaluating mental health interventions in different geographic contexts can provide valuable insights to policymakers on the most effective and context-sensitive strategies, enabling them to allocate resources towards preventing the worsening of mental health inequalities.

Maternal separation regulates sensitivity of stress-induced depression in mice by affecting hippocampal metabolism

Depression is a serious mental illness. Previous studies found that early life stress (ELS) plays a vital role in the onset and progression of depression. However, relevant studies have not yet been able to explain the specific effects of early stress on stress-induced depression sensitivity and individual behavior during growth. Therefore, we constructed a maternal separation (MS) model and administered chronic social frustration stress at different stages of their growth while conducting metabolomics analysis on the hippocampus of mice. Our results showed that the immobility time of mice in the forced swimming test was significantly reduced at the end of MS. Meanwhile, mice with MS experience significantly decreased total movement distance in the open field test and sucrose preference ratio in the sucrose preference test when subjected to chronic social defeat stress (CSDS) during adolescence. In adulthood, the results were the opposite. In addition, we found that level changes in metabolites such as Beta-alanine, l-aspartic acid, 2-aminoadipic acid, and Glycine are closely related to behavioral changes. These metabolites are mainly enriched in Pantothenate, CoA biosynthesis, and Beta Alanine metabolism pathways. Our experiment revealed that the effects of ELS vary across different age groups. It will increase an individual's sensitivity to depression when facing CSDS in adolescence, but it will reduce their sensitivity to depression when facing CSDS in adulthood. This may be achieved by regulating the hippocampus's Pantothenate and CoA biosynthesis and Beta Alanine metabolism pathways represented by Beta-alanine, l-Aspartic acid, 2-aminoadipic acid, and Glycine metabolites.

Attributional styles are associated with care burden in geriatric depression: older adults and their caregivers in Taiwan

BACKGROUND

Given the rising prevalence of depression among older adults and the associated increase in caregiving responsibilities, understanding factors influencing caregiver burden is crucial. Previous research has not extensively explored the impact of caregivers' attributional styles, that is, how individuals interpret the causes of life events, on their care burden.

AIM

This study examined the relationship between caregivers' attributional styles and their care burden for older patients with depression.

METHODS

This cross-sectional study enrolled older adults aged ≥ 65 years diagnosed with depression and their caregivers. Depression was diagnosed according to the DSM-V criteria for Major Depressive Disorder or Persistent Depressive Disorder. Caregivers completed the Chinese Depression Caregiver Burden Scale (CDCBS) to assess care burden, the Hamilton Depression Rating Scale (HAM-D) to evaluate patient symptom severity, the Center for Epidemiological Studies Depression Scale (CES-D) for measuring caregivers' depression, and the Chinese Depression Patient Caregiver Attribution Style Scale (CDPCAS) to assess attributional styles. Hierarchical regression analysis was used to identify the factors independently associated with the caregiver's subjectively assessed care burden.

RESULTS

The sample included 146 caregivers of geriatric patients with depression. Most depression patients were women (74.7%) with a mean age of 74.3 years, whereas the mean age of caregivers was 57.7 years. Hierarchical regression analysis identified that caregivers' gender (β = - 0.14, p = .044), educational level (β = 0.19, p = .008), caregivers' own depression assessed by the Center for Epidemiological Studies Depression Scale (β = 0.41, p < .001), and attributional styles, particularly manipulation (β = 0.29, p < .001) and illness/stress attributional style (β = 0.23, p = .002) as independent factors associated with care burden. Patient symptom severity assessed using the Hamilton Depression Scale was not significantly correlated with care burden after controlling for attributional styles.

CONCLUSIONS

Certain attributional styles, particularly the manipulation and illness/stress attributional styles, significantly increased self-reported care burden. These findings highlight the need for educational resources to change the attribution style, along with support systems and accessible mental health services for caregivers to potentially ease the care burden.

High-fat diet, microbiome-gut-brain axis signaling, and anxiety-like behavior in male rats

Obesity, associated with the intake of a high-fat diet (HFD), and anxiety are common among those living in modern urban societies. Recent studies suggest a role of microbiome-gut-brain axis signaling, including a role for brain serotonergic systems in the relationship between HFD and anxiety. Evidence suggests the gut microbiome and the serotonergic brain system together may play an important role in this response. Here we conducted a nine-week HFD protocol in male rats, followed by an analysis of the gut microbiome diversity and community composition, brainstem serotonergic gene expression (tph2, htr1a, and slc6a4), and anxiety-related defensive behavioral responses. We show that HFD intake decreased alpha diversity and altered the community composition of the gut microbiome in association with obesity, increased brainstem tph2, htr1a and slc6a4 mRNA expression, including in the caudal part of the dorsomedial dorsal raphe nucleus (cDRD), a subregion previously associated with stress- and anxiety-related behavioral responses, and, finally, increased anxiety-related defensive behavioral responses. The HFD increased the Firmicutes/Bacteroidetes ratio relative to control diet, as well as higher relative abundances of Blautia, and decreases in Prevotella. We found that tph2, htr1a and slc6a4 mRNA expression were increased in subregions of the dorsal raphe nucleus in the HFD, relative to control diet. Specific bacterial taxa were associated with increased serotonergic gene expression in the cDRD. Thus, we propose that HFD-induced obesity is associated with altered microbiome-gut-serotonergic brain axis signaling, leading to increased anxiety-related defensive behavioral responses in rats.

TwinsMX: Exploring the Genetic and Environmental Influences on Health Traits in the Mexican Population

TwinsMX registry is a national research initiative in Mexico that aims to understand the complex interplay between genetics and environment in shaping physical and mental health traits among the country's population. With a multidisciplinary approach, TwinsMX aims to advance our knowledge of the genetic and environmental mechanisms underlying ethnic variations in complex traits and diseases, including behavioral, psychometric, anthropometric, metabolic, cardiovascular and mental disorders. With information gathered from over 2800 twins, this article updates the prevalence of several complex traits; and describes the advances and novel ideas we have implemented such as magnetic resonance imaging. The future expansion of the TwinsMX registry will enhance our comprehension of the intricate interplay between genetics and environment in shaping health and disease in the Mexican population. Overall, this report describes the progress in the building of a solid database that will allow the study of complex traits in the Mexican population, valuable not only for our consortium, but also for the worldwide scientific community, by providing new insights of understudied genetically admixed populations.

The effectiveness of an online short-format Recovery College model: a co-learning model to support mental health

BACKGROUND

Our societies are facing mental health challenges, which have been compounded by the Covid-19. This event led people to isolate themselves and to stop seeking the help they needed. In response to this situation, the Health and Recovery Learning Center, applying the Recovery College (RC) model, modified its training program to a shorter online format. This study examines the effectiveness of a single RC training course delivered in a shortened online format to a diverse population at risk of mental health deterioration in the context of Covid-19.

METHODS

This quasi-experimental study used a one-group pretest-posttest design with repeated measures. Three hundred and fifteen (n = 315) learners agreed to take part in the study and completed questionnaires on wellbeing, anxiety, resilience, self-management, empowerment and stigmatizing attitudes and behaviors.

RESULTS

Analyses of variance using a linear mixed models revealed that attending a RC training course had, over time, a statistically significant effect on wellbeing (p = 0.004), anxiety (p < 0.001), self-esteem/self-efficacy (p = 0.005), disclosure/help-seeking (p < 0.001) and a slight effect on resilience (p = 0.019) and optimism/control over the future (p = 0.01).

CONCLUSIONS

This study is the first to measure participation in a single online short-format RC training course, with a diversity of learners and a large sample. These results support the hypothesis that an online short-format training course can reduce psychological distress and increase self-efficacy and help-seeking.

TRIAL REGISTRATION

This study was previously approved by two certified ethics committees: Comité d'éthique de la recherche du CIUSSS EMTL, which acted as the committee responsible for the multicenter study, reference number MP-12-2021-2421, and Comité d'éthique avec les êtres humains de l'UQTR, reference number CER-20-270-07.01.

The relation between economic stressors and higher education students' mental health during the initial outbreak of the COVID-19 pandemic

AIMS

The COVID-19 pandemic has had a large impact on the financial situation of higher education students, disproportionately affecting students with a low socioeconomic status (SES). This raises the question of whether economic stressors related to COVID-19 have aggravated existing socioeconomic inequalities in mental health. This study examined the relationship between economic stressors and students' depressive symptoms, and the role of students' SES and countries' socioeconomic conditions.

METHODS

Data from the COVID-19 International Student Well-being Study was used for multilevel analyses, with depressive symptoms as dependent variable. Three indicators measured SES: educational level of the parents, ability to borrow money from their social network, and struggling with financial resources prior to COVID-19.

RESULTS

Students with a low SES had more depressive symptoms, and those not able to borrow money and with parents without higher education were more exposed to a deterioration in their financial situation. Both economic stressors (reduction in working hours and a deterioration of their financial situation) were positively related to depressive symptoms. In addition, the positive relationship between a decrease in working hours and depressive symptoms was stronger in countries with a higher unemployment rate.

CONCLUSIONS

We observed socioeconomic inequalities in students' mental health, which, in part, can be ascribed to a larger exposure to the economic stressors related to COVID-19 among students' with a low SES. The macroeconomic context also played a role, as the impact of a reduction in working hours on depressive symptoms was stronger in countries with poor economic conditions.

Prevalence of Mental Health Disorders in Individuals With Gastrointestinal Congenital Surgical Anomalies: A Systematic Review and Meta-analysis

PURPOSE

Studies examining functional outcomes and health-related quality of life for patients with congenital surgical anomalies (CSA) are increasingly common. However, the prevalence of mental health disorders in this population has not been determined. The purpose of this review is to summarize the reported prevalence of mental health disorders in children born with gastrointestinal CSA.

METHODS

A systematic review of the literature was conducted on Medline (OVID), EMBASE (OVID), CINAHL (EbscoHost), and Scopus to identify studies reporting mental health diagnoses in children with a gastrointestinal CSA. A meta-analysis of the prevalence of anxiety disorders and depressive disorders was completed.

RESULTS

Of 2546 manuscripts, seven met the inclusion criteria. All included manuscripts looked at patients with anorectal malformation (ARM) and/or Hirschsprung disease (HD). No studies assessed other gastrointestinal CSAs. A total of 183 psychiatric diagnoses were reported in 1167 patients. A pooled analysis of ARM patients revealed a 14.0% prevalence of anxiety disorders (N = 208; CI95 = 4.4-23.4%) and an 18.75% prevalence of depressive disorders (N = 48; CI95 = 7.7-29.8%). A pooled analysis of HD patients revealed a 15.8% prevalence of anxiety disorders (N = 19; CI95 = 0.6-32.2%) and a 4.75% prevalence of depressive disorders (N = 758; CI95 = 3.23-6.26%).

CONCLUSIONS

There is a paucity of evidence on mental health outcomes of individuals born with gastrointestinal CSA. However, the available evidence suggested a high prevalence of mental health diagnoses in individuals born with ARM or HD with 1 in 7 having an anxiety disorder. Additionally, 1 in 5 ARM patients and 1 in 20 HD patients were diagnosed with a depressive disorder.

TYPE OF STUDY

Systematic review and meta-analysis.

LEVEL OF EVIDENCE

IV.

The Spatio-Temporal Distribution of Suicide-related Emergency Calls in a European City: Age and Gender Patterns, and Neighborhood Influences

Objective: The aim of this study was to conduct a comprehensive spatio-temporal analysis of suicide-related emergency calls in the city of Valencia (Spain) over a six-year period. To this end we first examined age and gender patterns and, second, the influence of neighborhood characteristics on general and gender-specific spatio-temporal patterns of suicide-related emergency calls. Method: Geocoded data on suicide-related emergency calls between 2017 and 2022 (N = 10,030) were collected from the 112 emergency service in Valencia. Data were aggregated at the census block group level, used as a proxy for neighborhoods, and trimesters were considered as the temporal unit. Two set of analyses were performed: (1) demographic (age and gender) and temporal descriptive analyses and (2) general and gender-specific Bayesian spatio-temporal autoregressive models. Results: Descriptive analyses revealed a higher incidence of suicide-related emergency calls among females and an increase in calls among the 18-23 age group from 2020 onwards. The general spatio-temporal model showed higher levels of suicide-related emergency calls in neighborhoods characterized by lower education levels and population density, and higher residential mobility, aging population, and immigrant concentration. Relevant gender differences were also observed. A seasonal effect was noted, with a peak in calls during spring for females and summer for males. Conclusions: These findings highlight the need for comprehensive mental health targeted interventions and preventive strategies that account for gender-specific disparities, age-related vulnerabilities, and the specific characteristics of neighborhoods.

User Experiences of CBT for Anxiety and Depression: A Qualitative Systematic Review and Meta-synthesis

Cognitive behavioural therapy (CBT) is an evidence-based treatment for anxiety and depression. It is important to determine the positive and negative aspects of CBT from the perspective of service users. However, there has been a lack of qualitative exploration into service user experiences of the therapy. This review aimed to address this gap by examining participants' experiences of CBT for anxiety and depression. Databases were searched and data were synthesised thematically. CBT was well-received by participants, though barriers to engagement were identified. CBT was often perceived as too difficult or demanding, as well as interventions being short and therefore superficial. Clinician qualities of being trustworthy, non-judgemental, and understanding appear to be significant contributors to client engagement and recovery. Findings support the delivery of in-depth clinician led CBT for anxiety and depression, as well as highlighting the need to review CBT delivery to better support service users.

Health service and medication costs associated with common mental disorders and subthreshold symptoms in women: Findings from the Geelong Osteoporosis Study in Australia

OBJECTIVE

This analysis estimated 2013 annual healthcare costs associated with the common mental disorders of mood and anxiety disorders and psychological symptoms within a representative sample of Australian women.

METHODS

Data from the 15-year follow-up of women in the Geelong Osteoporosis Study were linked to 12-month Medicare Benefits Schedule and Pharmaceutical Benefits Scheme data. A Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Non-patient edition identified common mental disorders and the General Health Questionnaire 12 assessed psychological symptoms. Participants were categorised into mutually exclusive groups: (1) common mental disorder (past 12 months), (2) subthreshold (no common mental disorder and General Health Questionnaire 12 score ⩾4) or (3) no common mental disorder and General Health Questionnaire 12 score <4. Two-part and hurdle models estimated differences in service use, and adjusted generalised linear models estimated mean differences in costs between groups.

RESULTS

Compared to no common mental disorder, women with common mental disorders utilised more Medicare Benefits Schedule services (mean 26.9 vs 20.0, p < 0.001), had higher total Medicare Benefits Schedule cost ($1889 vs $1305, p < 0.01), received more Pharmaceutical Benefits Scheme prescriptions (35.8 vs 20.6, p < 0.001), had higher total Pharmaceutical Benefits Scheme cost ($1226 vs $740, p < 0.05) and had significantly higher annual out-of-pocket costs for Pharmaceutical Benefits Scheme prescriptions ($249 vs $162, p < 0.001). Compared to no common mental disorder, subthreshold women were less likely to use any Medicare Benefits Schedule service (89.6% vs 97.0%, p < 0.01), but more likely to use mental health services (11.4% vs 2.9%, p < 0.01). The subthreshold group received more Pharmaceutical Benefits Scheme prescriptions (mean 43.3 vs 20.6, p < 0.001) and incurred higher total Pharmaceutical Benefits Scheme cost ($1268 vs $740, p < .05) compared to no common mental disorder.

CONCLUSIONS

Common mental disorders and subthreshold psychological symptoms place a substantial economic burden on Australian healthcare services and consumers.

Adherence to the ultra-processed dietary pattern and risk of depressive outcomes: Findings from the NutriNet Brasil cohort study and an updated systematic review and meta-analysis

BACKGROUND & AIMS

We aimed to analyze the prospective association between adherence to the ultra-processed dietary pattern and risk of depressive outcomes using original data from the NutriNet Brasil cohort and via a systematic review and meta-analysis of observational studies that have investigated the same association.

METHODS

In our original research analysis, we used data from 15,960 adults (≥18 y) participating in the NutriNet Brasil cohort study, free of depression or depressive symptoms during the baseline (77.5% women, 45.8 ± 13.0 y). The mean dietary share of ultra-processed foods (%Kcal/d), calculated from two baseline 24-h dietary recalls, was used to measure the adherence to the ultra-processed dietary pattern. New cases of depressive symptoms were assessed using the Patient Health Questionnaire-9 over the follow-up period (mean: 18.3 months). Cox proportional hazards models were used for the main analyses. In our systematic review and meta-analysis, we incorporated effect estimates from six prospective cohort studies that have examined the same association, including ours.

RESULTS

In the adjusted model, each 10% increase in the dietary share of ultra-processed foods was associated with a 10% increase in the hazard of incident cases of depressive symptoms (HR:1.10; 95%CI: 1.07-1.14). This association was slightly attenuated in the models including potential mediators. In our meta-analysis of six prospective studies, high versus low exposure to ultra-processed foods was associated with a summary hazard ratio of depressive outcomes of 1.32; 95%CI: 1.19-1.46; I2: 71%.

CONCLUSION

A higher adherence to the ultra-processed dietary pattern was associated with a higher risk of developing depressive outcomes in the NutriNet Brasil cohort and in the meta-analysis.

The effects of diazepam on fear extinction in nulliparous and primiparous female rats

Benzodiazepines undermine the success of exposure therapy in humans with anxiety disorders, and impair the long-term memory of fear extinction (the laboratory basis of exposure therapy) in rodents. However, most rodent studies on fear extinction and benzodiazepines have been conducted in male rodents. In female rodents, the estrous cycle influences the consolidation of fear extinction memories and sensitivity to benzodiazepines. In addition, pregnancy leads to long-term changes in the neurobiological, hormonal, and behavioural features of fear extinction, as well as the responsivity to benzodiazepines. Therefore, the present experiments examined the impact of benzodiazepines on fear extinction in female rats with and without reproductive experience. Age-matched nulliparous (no reproductive experience) and primiparous (one prior reproductive experience; tested one-month post-weaning) rats received fear conditioning to a discrete cue. The next day, rats were administered the benzodiazepine diazepam (2 mg/kg, s.c), or vehicle, prior to or immediately after extinction training. Rats were then tested the next day, drug free, for extinction retention. Similar to previous findings in males, diazepam impaired extinction retention in both nulliparous and primiparous rats when administered either pre- or post-extinction training. These findings may have potential clinical implications as they suggest that benzodiazepine use in conjunction with exposure therapy may undermine long-term treatment success in women with and without reproductive experience, although this remains to be tested in human populations. Moreover, these findings are theoretically important when considered in light of previous studies showing dissociable mechanisms of fear extinction in females pre- versus post-pregnancy.

Acupuncture Ameliorates Depression-Like Behaviors Through Modulating the Neuroinflammation Mediated by TLR4 Signaling Pathway in Rats Exposed to Chronic Restraint Stress

Recently, emerging evidence has identified that stress-induced activation of neuroinflammation is considered to be one of the most prevalently precipitating factors in the pathogenesis of depression. Data from clinical trials and experimental findings has verified the efficacy and safety of acupuncture in the prevention and treatment of depression. However, the mechanism of the preventive effect of acupuncture for depression has not been fully elucidated. The current study aimed to investigate the preventive effect and mechanism of acupuncture through modulating the neuroinflammation mediated by toll-like receptor 4 (TLR4) signaling pathway in rats exposed to chronic restraint stress (CRS). All rats were subjected to CRS for 21 days, with the exception of rats in control group. One hour before CRS, rats in acupuncture group were exposed to acupuncture at Baihui (GV20) and Yintang (GV29). The depression-like behaviors were evaluated by body weight assessment and sucrose preference test at 0, 7, 14, and 21 days. The expression of activated microglia in hippocampus was detected by immunofluorescence. The expression of key proteins on TLR4 signaling pathway of TLR4, MyD88, TRAF6, NF-κB p65, TNF-α, and mRNA of TLR4 in the hippocampus was detected by western blot and real-time quantitative polymerase chain reaction to investigate the effect of acupuncture on stress-induced activation of neuroinflammation. The present study provided evidence that acupuncture exerted potential preventive effect that might be mediated in part by suppressing the neuroinflammation induced by TLR4 signaling pathway, which may be a promising treatment target to improve current treatments for depression.

Association between thiamine intake and depression: A national cross-sectional study

BACKGROUND

Recent years have seen increasing attention to improving depressive symptoms through dietary intakes, yet the association between thiamine intake and depression remains unclear. The present study aimed to explore this association using data from an American cross-sectional study.

METHODS

We explored the association of covariates, exposure, and outcome with logistic regression equations. Multivariable regression models were performed to further exclude confounding factors. To investigate nonlinear relationships, we employed restricted cubic splines. Recursive algorithms were utilized to identify inflection points. Additionally, we conducted stratified analyses by age and sex to uncover differences among subgroups.

RESULTS

When all covariates were adjusted, the association between thiamine intake and depression was not statistically significant [0.93 (0.82, 1.07)]. In the linear trend test using Q1 as the reference, the ORs (95%CI) for Q2, Q3, and Q4 were 0.87 (0.73, 1.04), 0.83 (0.68, 1.00), and 0.92 (0.73, 1.16), which suggested that the association might be nonlinear. We then confirmed this nonlinear relationship with a restricted cubic spline, and the inflection point of 1.35 mg/day was calculated. Before the inflection point, the effect value of the relationship was 0.68 (0.53, 0.89). After the inflection point, no significant association was found [1.10 (0.92, 1.31)]. Stratified analyses revealed that this nonlinear relationship was consistent among women and individuals aged <60 years.

DISCUSSION

In this cross-sectional study among American general adults, we found a nonlinear association between thiamine intake and depression and further observed differences by age and sex.

Prevalence of mental health conditions and brain fog in people with long COVID: A systematic review and meta-analysis

OBJECTIVE

Long COVID can include impaired cognition ('brain fog'; a term encompassing multiple symptoms) and mental health conditions. We performed a systematic review and meta-analysis to estimate their prevalence and to explore relevant factors associated with the incidence of impaired cognition and mental health conditions.

METHODS

Searches were conducted in Medline and PsycINFO to cover the start of the pandemic until August 2023. Included studies reported prevalence of mental health conditions and brain fog in adults with long COVID after clinically-diagnosed or PCR-confirmed SARS-CoV-2 infection.

FINDINGS

17 studies were included, reporting 41,249 long COVID patients. Across all timepoints (3-24 months), the combined prevalence of mental health conditions and brain fog was 20·4% (95% CI 11·1%-34·4%), being lower among those previously hospitalised than in community-managed patients(19·5 vs 29·7% respectively; p = 0·047). The odds of mental health conditions and brain fog increased over time and when validated instruments were used. Odds of brain fog significantly decreased with increasing vaccination rates (p = ·000).

CONCLUSIONS

Given the increasing prevalence of mental health conditions and brain fog over time, preventive interventions and treatments are needed. Research is needed to explore underlying mechanisms that could inform further research in development of effective treatments. The reduced risk of brain fog associated with vaccination emphasizes the need for ongoing vaccination programs.

Focused on the negative: emotions and visuospatial attention in generalized anxiety disorder

Global-local visuospatial attention is a core mechanism which highly affects the way we process our visuospatial environment. The current study aimed to examine the effect of negative emotions on global-local visuospatial processing in participants with generalized anxiety disorder (GAD) and in healthy controls (HCs). Participants performed two versions of the global-local-arrow task: they were asked to determine the direction (left or right) of the global arrow or of the local arrows that composed it, with or without emotional prime-cues. In the non-emotional task and in the neutral-valence condition of the emotional task, the GAD group did not differ from that of HCs - both groups exhibited a classic global processing bias (reactions to the global dimension were faster and less affected by the local dimension). In the negative-valence condition, global processing bias was only slightly reduced in HCs and almost completely eliminated in the GAD group. The results of the current study suggest that, in non-emotional conditions, global processing bias does not differ significantly between individuals with GAD and HCs. However, task-irrelevant negative cues were found to have a greater impact in reducing global bias for individuals with GAD compared to HCs. Potential implications are discussed.

Efficacy of Internet-based rumination-focused cognitive behavioral therapy and mindfulness-based intervention with guided support in reducing risks of depression and anxiety: A randomized controlled trial

Rumination and worry are common risk factors of depression and anxiety. Internet-based transdiagnostic interventions targeting individuals with these specific risks may be an effective way to prevent depression and anxiety. This three-arm randomized controlled trial compared the efficacy of Internet-based rumination-focused cognitive behavioral therapy (RFCBT), mindfulness-based intervention (MBI), and psychoeducation (EDU) control among 256 at-risk individuals. Participants' levels of rumination, worry, depressive, and anxiety symptoms were assessed at post-intervention (6 weeks), 3-month, and 9-month follow-ups. Linear mixed model analysis results showed similar levels of improvement in all outcomes across the three conditions. Changes in rumination differed comparing RFCBT and MBI, where a significant reduction in rumination was noted at a 3-month follow-up among participants in RFCBT, and no significant long-term effect among participants in MBI was noted at a 9-month follow-up. All three conditions showed similar reductions in risks and symptoms, implying that the two active interventions were not superior to EDU control. The high attrition at follow-ups suggested a need to exercise caution when interpreting the findings. Future studies should tease apart placebo effect and identify ways to improve adherence.

Unraveling the distinction between depression and anxiety: A machine learning exploration of causal relationships

OBJECTIVE

Depression and anxiety, prevalent coexisting mood disorders, pose a clinical challenge in accurate differentiation, hindering effective healthcare interventions. This research addressed this gap by employing a streamlined Symptom Checklist 90 (SCL-90) designed to minimize patient response burden. Utilizing machine learning algorithms, the study sought to construct classification models capable of distinguishing between depression and anxiety.

METHODS

The study included 4262 individuals currently experiencing depression alone (n = 2998), anxiety alone (n = 716), or both depression and anxiety (n = 548). Counterfactual diagnosis was used to construct a causal network on the dataset. Employing a causal network, the SCL-90 was simplified. Items that have causality with only depression, only anxiety and both depression and anxiety were selected, and these streamlined items served as input features for four distinct machine learning algorithms, facilitating the creation of classification models for distinguishing depression and anxiety.

RESULTS

Cross-validation demonstrated the performance of the classification models with the following metrics: (1) K-nearest neighbors (AUC = 0.924, Acc = 92.81 %); (2) support vector machine (AUC = 0.937, Acc = 94.38 %); (3) random forest (AUC = 0.918, Acc = 94.38 %); and (4) adaptive boosting (AUC = 0.882, Acc = 94.38 %). Notably, the support vector machine excelled, with the highest AUC and superior accuracy.

CONCLUSION

Incorporating the simplified SCL-90 and machine learning presents a promising, efficient, and cost-effective tool for the precise identification of depression and anxiety.

Non-binary gender, vulnerable populations and mental health during the COVID-19 pandemic: Data from the COVID-19 MEntal health inTernational for the general population (COMET-G) study

BACKGROUND

The COVID-19 pandemic has brought significant mental health challenges, particularly for vulnerable populations, including non-binary gender individuals. The COMET international study aimed to investigate specific risk factors for clinical depression or distress during the pandemic, also in these special populations.

METHODS

Chi-square tests were used for initial screening to select only those variables which would show an initial significance. Risk Ratios (RR) were calculated, and a Multiple Backward Stepwise Linear Regression Analysis (MBSLRA) was followed with those variables given significant results at screening and with the presence of distress or depression or the lack of both of them.

RESULTS

The most important risk factors for depression were female (RR = 1.59-5.49) and non-binary gender (RR = 1.56-7.41), unemployment (RR = 1.41-6.57), not working during lockdowns (RR = 1.43-5.79), bad general health (RR = 2.74-9.98), chronic somatic disorder (RR = 1.22-5.57), history of mental disorders (depression RR = 2.31-9.47; suicide attempt RR = 2.33-9.75; psychosis RR = 2.14-10.08; Bipolar disorder RR = 2.75-12.86), smoking status (RR = 1.15-5.31) and substance use (RR = 1.77-8.01). The risk factors for distress or depression that survived MBSLRA were younger age, being widowed, living alone, bad general health, being a carer, chronic somatic disorder, not working during lockdowns, being single, self-reported history of depression, bipolar disorder, self-harm, suicide attempts and of other mental disorders, smoking, alcohol, and substance use.

CONCLUSIONS

Targeted preventive interventions are crucial to safeguard the mental health of vulnerable groups, emphasizing the importance of diverse samples in future research.

LIMITATIONS

Online data collection may have resulted in the underrepresentation of certain population groups.

Personality dimensions, resilience, and depression during COVID-19 pandemic: A one-year longitudinal study

BACKGROUND

The onset of the COVID-19 pandemic has brought to light a significant surge in depression across diverse populations. While a considerable body of research has linked this upswing to lockdowns and restrictive measures, it is crucial to recognize that lockdowns alone cannot fully elucidate the observed increase in mental health disorders, given the vast array of individual psychological responses.

OBJECTIVE

This study aims to test e whether personality dimensions (Extroversion, Neuroticism, and Psychoticism) and resilience play a role in shielding individuals from developing depression during the COVID-19 pandemic, as observed in a sample of Brazilian adults.

METHODS

This research employed a one-year longitudinal naturalistic study involving the general population. It utilized a web-based questionnaire administered in three waves during the COVID-19 pandemic: April 2020, September 2020, and May 2021. The research protocol contains the Patient Health Questionnaire-9 - PHQ-9, the Connor-Davidson Resilience Scale - CD-RISC, and the Eysenck Personality Questionnaire Revised-Abbreviated - EPQR-A.

RESULTS

Our study encompassed 455 participants, of which 35.6 % met the criteria for depression in the first wave, and this figure decreased to 18.5 % in the second and third waves (p = 0.001). Resilience levels in the non-depressed group (consistently exhibited higher means across all three waves when compared to the depressed group (first wave: x¯= 27.98; second wave: x¯= 37.26; third wave: x¯= 36.67; p = 0.001). Furthermore, resilience exhibited an overall protective effect against depression in all waves (PR = 0.93, p = 0.000). Neuroticism and Psychoticism emerged as predictors of depression across all waves (PR = 1.346; p = 0.0001 and PR = 1.157; p = 0.030), while the Extroversion dimension showed no significant effect.

CONCLUSION

The decline in depression rates during the first year of the COVID-19 pandemic was influenced by levels of resilience, which acted as a protective factor against the development of depressive symptoms. Notably, Neuroticism and Psychoticism predicted the risk of developing depressive symptoms. Implications for practical intervention in future crisis scenarios suggest the need for public health policy programs featuring personalized interventions that prioritize enhancing resilience.

Assessing the Role of Cortisol in Anxiety, Major Depression, and Neuroticism: A Mendelian Randomization Study Using SERPINA6/SERPINA1 Variants

Background

Previous evidence informed by the toxic stress model suggests that higher cortisol causes anxiety and major depression, but clinical success is lacking. To clarify the role of cortisol, we used Mendelian randomization to estimate its associations with anxiety, major depression, and neuroticism, leveraging the largest available genome-wide association studies including from the Psychiatric Genomics Consortium, the UK Biobank, and FinnGen.

Methods

After meta-analyzing 2 genome-wide association studies on morning plasma cortisol (n = 32,981), we selected single nucleotide polymorphisms (SNPs) at p < 5 × 10-8 and r2 < 0.3 in the SERPINA6/SERPINA1 gene region encoding proteins that influence cortisol bioavailability. We applied these SNPs to summary genetic associations with the outcomes considered (n = 17,310-449,484), and systolic blood pressure as a positive outcome, using inverse-variance weighted meta-analysis accounting for correlation. Sensitivity analyses addressing SNP correlation and confounding by childhood maltreatment and follow-up analyses using only SNPs that colocalized with SERPINA6 expression were conducted.

Results

Cortisol was associated with anxiety (pooled odds ratio [OR] 1.16 per cortisol z score; 95% CI, 1.04 to 1.31), but not major depression (pooled OR 1.02, 95% CI, 0.95 to 1.10) or neuroticism (β -0.025; 95% CI, -0.071 to 0.022). Sensitivity analyses yielded similar estimates. Cortisol was positively associated with systolic blood pressure, as expected. Using rs9989237 and rs2736898, selected using colocalization, cortisol was associated with anxiety in the UK Biobank (OR 1.32; 95% CI, 1.01 to 1.74) but not with major depression in FinnGen (OR 1.14; 95% CI, 0.95 to 1.37).

Conclusions

Cortisol was associated with anxiety and may be a potential target for prevention. Other targets may be more relevant to major depression and neuroticism.

Effect of Repeated Intravenous Esketamine on Adolescents With Major Depressive Disorder and Suicidal Ideation: A Randomized Active-Placebo-Controlled Trial

OBJECTIVE

Suicide is a major cause of death in adolescents with limited treatment options. Ketamine and its enantiomers have shown rapid anti-suicidal effects in adults with major depressive disorder (MDD), but their efficacy in adolescents is unknown. We conducted an active, placebo-controlled trial to determine the safety and efficacy of intravenous esketamine in this population.

METHOD

A total of 54 adolescents (aged 13-18 years) with MDD and suicidal ideation were included from an inpatient setting and randomly assigned (1:1) to receive 3 infusions of esketamine (0.25 mg/kg) or midazolam (0.02mg/kg) over 5 days, with routine inpatient care and treatment. Changes from baseline to 24 hours after the final infusion (day 6) in the scores of the Columbia Suicide Severity Rating Scale (C-SSRS) Ideation and Intensity (primary outcome) and the Montgomery-Åsberg Depression Rating Scale (MADRS, key secondary outcome) were analyzed using linear mixed models. In addition, the 4-week clinical treatment response was a key secondary outcome.

RESULTS

The mean changes in C-SSRS Ideation and Intensity scores from baseline to day 6 were significantly greater in the esketamine group than in the midazolam group (Ideation, -2.6 [SD = 2.0] vs -1.7 [SD = 2.2], p = .007; Intensity, -10.6 [SD = 8.4] vs -5.0 [SD = 7.4], p = .002), and the changes in MADRS scores from baseline to day 6 were significantly greater in the esketamine group than in the midazolam group (-15.3 [SD = 11.2] vs -8.8 [SD = 9.4], p = .004). The rates of antisuicidal and antidepressant responses at 4 weeks posttreatment were 69.2% and 61.5% after esketamine, and were 52.5% and 52.5% after midazolam, respectively. The most common adverse events in the esketamine group were nausea, dissociation, dry mouth, sedation, headache, and dizziness.

CONCLUSION

These preliminary findings indicate that 3-dose intravenous esketamine, added to routine inpatient care and treatment, was an effective and well-tolerated therapy for treating adolescents with MDD and suicidal ideation.

CLINICAL TRIAL REGISTRATION INFORMATION

A study to evaluate the efficacy and safety of Esketamine combined with oral antidepressants in the treatment of major depressive disorder with suicidal ideation; http://www.chictr.org.cn; ChiCTR2000041232.

DIVERSITY & INCLUSION STATEMENT

We worked to ensure that the study questionnaires were prepared in an inclusive way. The author list of this paper includes contributors from the location and/or community where the research was conducted who participated in the data collection, design, analysis, and/or interpretation of the work. We actively worked to promote sex and gender balance in our author group.

Virtual and in-person visits by Ontario physicians in the COVID-19 era

INTRODUCTION

We examined the coronavirus disease 2019 (COVID-19) pandemic impact on weekly trends in the billing of virtual and in-person physician visits in Ontario, Canada.

METHODS

In this retrospective cohort study, physician billing records from Ontario were aggregated on a weekly basis for in-person and virtual visits from 3 January 2016 to 27 March 2021. For each type of visit, a segmented negative binomial regression analysis was performed to estimate the weekly pre-pandemic trend in billing volume per thousand adults (3 January 2016 to 14 March 2020), the immediate change in mean volume at the start of the pandemic, and additional change in weekly volume in the pandemic era (15 March 2020 to 27 March 2021).

RESULTS

Before the start of the pandemic, the weekly volume of virtual visits per thousand adults was low with a 0.5% increase per week (rate ratio [RR]: 1.0053, 95% confidence interval [CI]: 1.0050-1.0056). A dramatic 65% reduction in in-person visits (RR: 0.35, 95% CI: 0.32-0.39) occurred at the start of the pandemic while virtual visits grew by 21-fold (RR: 21.3, 95% CI: 19.6-23.0). In the pandemic era, in-person visits rose by 1.4% per week (RR: 1.014, 95% CI: 1.011-1.017) but no change was observed for virtual visits (p-value = 0.31). Overall, we noted a 57.6% increase in total weekly physician visits volume after the start of the pandemic.

DISCUSSION

These results are meaningful for virtual care reimbursement models. Future study needs to assess the quality of care and whether the increase in virtual care volume is cost-effective to society.

What set some young adults apart during the COVID-19 pandemic? Mental health trajectories, risk and protective factors in an Australian longitudinal study

OBJECTIVE

Evidence suggests that young adults (aged 18-34) were disproportionately impacted by the COVID-19 pandemic, but little is known about their longer-term mental health changes beyond the early pandemic period. This article investigates heterogeneous trajectories of mental health among Australian young adults across 2 years of the pandemic and identifies a broad range of associated risk and protective factors.

METHOD

Young adults (N = 653, Mage = 27.8 years) from the longitudinal Alone Together Study were surveyed biannually between July 2020 and June 2022. Measures assessed anxiety (7-item Generalised Anxiety Disorder scale) and depression (9-item Patient Health Questionnaire) symptoms at Waves 1-4, as well as demographic, psychological, adversity and COVID-19 factors at baseline.

RESULTS

Four and three distinct trajectories of anxiety and depressive symptoms, respectively, were identified through growth mixture modelling. The proportion of participants in each anxiety trajectory were Asymptomatic (45.9%), Mild Stable (17.9%), Moderate-Severe Stable (31.1%) and Initially Severe/Recovering (5.1%). For depression, Mild Stable (58.3%), Moderate-Severe Stable (30.5%) and Reactive/Recovering (11.2%). Baseline factors associated with severe symptom trajectories included a lifetime mental health disorder, pre-pandemic stressful events, identifying as LGBTQIA+ and/or female, and experiencing one or more infection-control measures. Higher household income was protective.

CONCLUSION

Most young adults demonstrated stable trajectories of low or high symptoms during the pandemic, with smaller groups showing initially severe or reactive symptoms followed by marked improvements over time. Vulnerable subgroups (gender- or sexuality-diverse, those with prior adversity or pre-existing mental ill-health) may face ongoing impacts and require targeted psychosocial supports to assist their mental health recovery post-COVID-19 and in the event of future crises.

Prevalence and Correlates of Physical Inactivity Among Individuals with HIV During the First COVID-19 Wave: A Cross-sectional Survey

Physical activity is associated with improved health outcomes among people with HIV (PWH). In the recent pandemic context, policies designed to mitigate COVID-19 transmission may result in an increase in sedentary lifestyle and decreased physical activity. In this study, we aimed to characterize self-reported physical activity and factors associated with physical inactivity during the first wave of the COVID-19 pandemic among a sample of PWH engaged in care. We also described whether psychological coping strategies measured by the Brief COPE differed based on physical activity levels. Among 260 surveyed PWH in two HIV clinics in the US Northeast, 28.5% (n = 74) met the criteria for being physically active according to the Centers for Disease Control and Prevention (CDC)'s physical activity guidelines. Receiving care in New Haven, CT, presence of a detectable HIV viral load, every day tobacco use, and unhealthy alcohol use were associated with physical inactivity. Problem-focused coping, emotion-focused coping, and avoidance-focused coping strategies were found to be protective against physical inactivity. In adjusted analysis, only problem-focused coping continued to be significantly associated with lower odds of reporting physical inactivity. Efforts are urgently needed to promote physical activity among PWH, including among those without problem-focused coping strategies.

Association between trajectories of the neighborhood social exposome and mental health in late adolescence: A FinnTwin12 cohort study

BACKGROUND

Adolescent mental health problems impose a significant burden. Exploring evolving social environments could enhance comprehension of their impact on mental health. We aimed to depict the trajectories of the neighborhood social exposome from middle to late adolescence and assess the intricate relationship between them and late adolescent mental health.

METHODS

Participants (n = 3965) from the FinnTwin12 cohort with completed questionnaires at age 17 were used. Nine mental health measures were assessed. The social exposome comprised 28 neighborhood social indicators. Trajectories of these indicators from ages 12 to 17 were summarized via latent growth curve modeling into growth factors, including baseline intercept. Mixture effects of all growth factors were assessed through quantile-based g-computation. Repeated generalized linear regressions identified significant growth factors. Sex stratification was performed.

RESULTS

The linear-quadratic model was the most optimal trajectory model. No mixture effect was detected. Regression models showed some growth factors saliently linked to the p-factor, internalizing problems, anxiety, hyperactivity, and aggression. The majority of them were baseline intercepts. Quadratic growth factors about mother tongues correlated with anxiety among sex-combined participants and males. The linear growth factor in the proportion of households of couples without children was associated with internalizing problems in females.

LIMITATIONS

We were limited to including only neighborhood-level social exposures, and the multilevel contextual exposome situation interfered with our assessment.

CONCLUSIONS

Trajectories of the social neighborhood exposome modestly influenced late adolescent mental health. Tackling root causes of social inequalities through targeted programs for living conditions could improve adolescent mental health.

Experiences of trauma and psychometric properties of the Life Events Checklist among adults in Uganda

Exposure to potentially traumatic events (PTE) is common and increases an individual's risk of developing post-traumatic stress disorder (PTSD) and other psychiatric disorders. PTEs can be screened with the Life Events Checklist for DSM 5 (LEC-5). However, the psychometric properties of the LEC-5 have never been assessed in Uganda. We aimed to estimate the prevalence of PTEs and evaluate the factor structure of the LEC-5 in a sample of N = 4,479 Ugandan adults between February 2018 -March 2020. We used the phenotyping data from a case-control study (NeuroGAP-Psychosis) in Uganda investigating the genetic and environmental risk factors for psychosis spectrum disorders with 4,479 participants (2,375 cases and 2,104 controls). Prevalence for PTEs was determined for all participants and by case-control status. The factor structure of the LEC-5 was assessed using an exploratory factor analysis (EFA) and a confirmatory factor analysis (CFA). The overall prevalence of exposure to one or more types of PTEs was 60.5%. Cases reported more frequency of exposure to PTEs than controls (64.2% vs 55.4%; p<0.001). The most frequently endorsed traumatic event was physical assault (22.8%), while exposure to toxic substances was the least endorsed (1.7%). There were several differences among the types of events experienced between cases and controls, including cases reporting more experiences of physical (28.6% vs. 16.2%, p<0.001) and sexual assault (11.5% vs. 5.0%, p<0.001) than controls. The EFA yielded a six-factor model that explained 49.8% of the total variance. The CFA showed that a theoretical seven-factor model based on the South African Stress and Health survey was a better fitting model (CFI = 0.935; TLI = 0.908; RMSEA = 0.026) than the EFA. This study revealed a high prevalence of PTEs among cases and controls, and the LEC-5 was found to have good psychometric properties among Ugandan adults.

Global, regional and national burdens of depression in adolescents and young adults aged 10-24 years, from 1990 to 2019: findings from the 2019 Global Burden of Disease study

BACKGROUND

Depression is a significant mental health concern affecting the overall well-being of adolescents and young adults. Recently, the prevalence of depression has increased among young people. Nonetheless, there is little research delving into the longitudinal epidemiology of adolescent depression over time.

AIMS

To investigate the longitudinal epidemiology of depression among adolescents and young adults aged 10-24 years.

METHOD

Our research focused on young people (aged 10-24 years) with depression, using data from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019. We explored the age-standardised prevalence, incidence and disability-adjusted life-years (DALYs) of depression in different groups, including various regions, ages, genders and sociodemographic indices, from 1990 to 2019.

RESULTS

The prevalence, incidence and DALYs of depression in young people increased globally between 1990 and 2019. Regionally, higher-income regions like High-Income North America and Australasia recorded rising age-standardised prevalence and incidence rates, whereas low- or middle-income regions mostly saw reductions. Nationally, countries such as Greenland, the USA and Palestine reported the highest age-standardised prevalence and incidence rates in 2019, whereas Qatar witnessed the largest growth over time. The burden disproportionately affected females across age groups and world regions. The most prominent age effect on incidence and prevalence rates was in those aged 20-24 years. The depression burden showed an unfavourable trend in younger cohorts born after 1980, with females reporting a higher cohort risk than males.

CONCLUSIONS

Between 1990 and 2019, the general pattern of depression among adolescents varied according to age, gender, time period and generational cohort, across regions and nations.

Microglial function interacts with the environment to affect sex-specific depression risk

There is a two-fold higher incidence of depression in females compared to men with recent studies suggesting a role for microglia in conferring this sex-dependent depression risk. In this study we investigated the nature of this relation. Using GWAS enrichment, gene-set enrichment analysis and Mendelian randomization, we found minimal evidence for a direct relation between genes functionally related to microglia and sex-dependent genetic risk for depression. We then used expression quantitative trait loci and single nucleus RNA-sequencing resources to generate polygenic scores (PGS) representative of individual variation in microglial function in the adult (UK Biobank; N = 54753-72682) and fetal (ALSPAC; N = 1452) periods. The adult microglial PGS moderated the association between BMI (UK Biobank; beta = 0.001, 95 %CI 0.0009 to 0.003, P = 7.74E-6) and financial insecurity (UK Biobank; beta = 0.001, 95 %CI 0.005 to 0.015, P = 2E-4) with depressive symptoms in females. The fetal microglia PGS moderated the association between maternal prenatal depressive symptoms and offspring depressive symptoms at 24 years in females (ALSPAC; beta = 0.04, 95 %CI 0.004 to 0.07, P = 0.03). We found no evidence for an interaction between the microglial PGS and depression risk factors in males. Our results illustrate a role for microglial function in the conferral of sex-dependent depression risk following exposure to a depression risk factor.

BGP-15 alleviates LPS-induced depression-like behavior by promoting mitophagy

The high prevalence of major depressive disorder (MDD) frequently imposes severe constraints on psychosocial functioning and detrimentally impacts overall well-being. Despite the growing interest in the hypothesis of mitochondrial dysfunction, the precise mechanistic underpinnings and therapeutic strategies remain unclear and require further investigation. In this study, an MDD model was established in mice using lipopolysaccharide (LPS). Our research findings demonstrated that LPS exposure induced depressive-like behaviors and disrupted mitophagy by diminishing the mitochondrial levels of PINK1/Parkin in the brains of mice. Furthermore, LPS exposure evoked the activation of the NLRP3 inflammasome, accompanied by a notable elevation in the concentrations of pro-inflammatory factors (TNF-α, IL-1β, and IL-6). Additionally, neuronal apoptosis was stimulated through the JNK/p38 pathway. The administration of BGP-15 effectively nullified the impact of LPS, corresponding to the amelioration of depressive-like phenotypes and restoration of mitophagy, prevention of neuronal injury and inflammation, and suppression of reactive oxygen species (ROS)-mediated NLRP3 inflammasome activation. Furthermore, we elucidated the involvement of mitophagy in BGP-15-attenuated depressive-like behaviors using the inhibitors targeting autophagy (3-MA) and mitophagy (Mdivi-1). Notably, these inhibitors notably counteracted the antidepressant and anti-inflammatory effects exerted by BGP-15. Based on the research findings, it can be inferred that the antidepressant properties of BGP-15 in LPS-induced depressive-like behaviors could potentially be attributed to the involvement of the mitophagy pathway. These findings offer a potential novel therapeutic strategy for managing MDD.