Interest in psilocybin as a treatment for depression has risen over the past decade, fuelled by promising clinical trials and a rapidly evolving regulatory landscape. Media coverage plays a critical role in shaping public perceptions, yet little is known about how psilocybin is portrayed in global anglophone online news for the treatment of depression.

This study examines the comprehensiveness and sentiment of English-language online news articles (n = 125) discussing psilocybin as a treatment for depression from January 2000 to May 2024. Articles were sourced from the top 30 global anglophone news outlets, assessed using a 13-item instrument for comprehensiveness, and analysed for sentiment across five thematic categories. A separate sub-analysis was completed for Irish media.

Findings indicate a significant increase in coverage over time, with 43.2% of articles published between 2022 and 2024, predominantly from the USA (68%). While 90.4% of articles cited researchers, fewer addressed risks (47.2%), long-term evidence (46.4%), or patient perspectives (25%). Sentiment analysis revealed a very positive sentiment across articles which was 2.27 on a scale from −5 (most negative) to + 5 (most positive) (SD 1.33), with no significant changes over the time period. Reporting on psilocybin’s onset and duration of effects increased significantly, reflecting growing clinical evidence. However, coverage remains concentrated in prominent outlets, with limited attention to patient experiences and long-term safety.

These findings highlight the media’s role in shaping discourse on emerging treatments and suggest a need for more balanced reporting to align public understanding with scientific evidence. This study provides a foundation for future research on media portrayals of psilocybin and implications for public perception and policy.

High uncertainty in recent global health, geopolitical, and climate crises has been proposed as one important driver of the rise in youth mental health problems. This makes intolerance of uncertainty – a transdiagnostic risk factor for mental health problems – a promising target for intervention.

This study presents a novel single-session online training that took a synergistic mindset approach to promote uncertainty-as-adaptive and growth mindsets. The novel Uncertainty-Mindset Training was compared with Psychoeducation and No-Training control groups in 259 older adolescents/emerging adults (18-to-24-year-olds).

The Uncertainty-Mindset Training reduced intolerance of uncertainty, anxiety symptoms, and depression symptoms 1 month later. Importantly, the clinical gains were mediated by reductions in intolerance of uncertainty.

Given that this ultra-brief training can be delivered at scale globally and at no cost to the users, it shows promise for significant public health impacts.

Major depressive disorder (MDD) is closely associated with suicide, which often begins with suicidal ideation (SI). However, the underlying neural mechanisms remain unclear.

We included 73 MDD patients with SI (MDD-SI), 44 MDD patients without SI (MDD-NSI) and 78 healthy controls (HCs), then compared the amplitude of low-frequency fluctuations (ALFF), functional connectivity (FC), and effective connectivity (EC) differences across groups and analyzed their relationship with SI severity. FC and EC analyses used brain regions with ALFF differences between MDD-SI and MDD-NSI as seed points. ALFF findings were validated using the REST-meta-MDD consortium dataset (N = 1 596, 24 sites). Additionally, we explored the trend of changes in abnormal activity and connectivity of SI and suicidal behavior (SB) in MDD-SI.

Compared to MDD-NSI, MDD-SI showed increased ALFF in the right anterior cingulate cortex (ACC), validated by the REST-meta-MDD consortium dataset. MDD-SI also exhibited reduced FC between the right ACC and the left inferior frontal gyrus and decreased EC from the right ACC to the right fusiform gyrus, which were negatively correlated with the Hamilton Depression Rating Scale (HAMD)-suicidality item scores. Increased EC was observed in MDD-SI from the right ACC to the right cerebellar tonsil and from the left inferior parietal lobule (IPL) to the right ACC, following a progressive increase pattern (HC < MDD-NSI < MDD-SI without SB < MDD-SI with SB).

Increased activity and aberrant connectivity of the ACC may be associated with SI in MDD patients and potentially serve as biomarkers for suicide risk.

Alterations in reward responsiveness represent a key mechanism implicated in youth depression risk. However, not all youth with these alterations develop depression, suggesting the presence of factors that may moderate risk patterns. As socioeconomic disadvantage is also related to youth depression risk, particularly for youth exhibiting altered reward function, this study examined whether indices of family- and neighborhood-level disadvantage interacted with electrocortical reward responsivity to predict depression symptom trajectories across childhood and adolescence.

Participants included 76 youth (ages 9–16 years) at low and high risk for depression based on maternal history of depression. At baseline, youth completed a monetary reward-guessing task while electroencephalography was recorded to measure the reward positivity (RewP), an event-related potential indexing reward responsiveness. Family and neighborhood disadvantage were assessed using the income-to-needs (ITN) ratio and Area Deprivation Index (ADI), respectively. Self-reported and clinician-rated depression symptoms were assessed across a multiwave, 18-month follow-up.

RewP interacted with family- and neighborhood-level disadvantage to predict self-reported depression symptom trajectories. Specifically, blunted RewP predicted self-reported depression symptom increases for youth with a lower ITN ratio and higher ADI score. A blunted RewP also predicted clinician-rated depression symptom increases for youth living in neighborhoods with higher ADI scores.

Findings suggest that reduced reward responsiveness is a mechanism implicated in future depression risk among youth, specifically in the context of family- and neighborhood-level socioeconomic disadvantage. Interventions that enhance reward response among youth exposed to higher levels of socioeconomic disadvantage may be particularly effective in preventing depression emergence.

To investigate the association of midlife and late-life undiagnosed mood symptoms, especially their comorbidity, with long-term dementia risk among multi-regional and ethnic adults.

The prospective study used data from the UK Biobank (N = 142,670; mean follow-up 11.0 years) and three Asian studies (N = 1,610; mean follow-up 4.4 years). Undiagnosed mood symptoms (manic symptoms, depressive symptoms and comorbidity of depressive and manic symptoms) and diagnosed mood disorders (depression, mania and bipolar disorders) were classified. Plasma levels of 168 metabolites were measured. The association between undiagnosed mood symptoms and 12-year dementia (including subtypes) risk and domain-specific cognitive function was examined. The contribution of metabolites in explaining the association between symptom comorbidity and dementia risk was estimated.

Undiagnosed mood symptoms were prevalent (11.4% in the UK cohort and 31.2% in Asian cohorts) among 1,462 (1.0%) and 74 (19.4%) participants who developed dementia. Comorbidity of undiagnosed mood symptoms was associated with higher dementia risk (sub-distribution hazard ratios = 9.46; 95% confidence interval = 4.07–21.97), especially Alzheimer’s disease, and with worse reasoning ability, poorer numeric memory and metabolic dysfunction. Glucose and total Esterified Cholesterol explained 9.1% of the association between symptom comorbidity and dementia, with most of the contribution being from glucose (6.8%).

Comorbidity of undiagnosed mood symptoms was associated with a higher cumulative risk of dementia in the long term. Glucose metabolism could be implicated in the development of mood disorders and dementia. The distinctive pathophysiological mechanism between psychiatric and neurodegenerative disorders warrants further exploration.

People living with epilepsy (PWE) experience higher rates of depression compared with the general population. Depression in PWE is associated with increased seizure burden and reduced quality of life. We aimed to examine clinical and demographic correlates of depression severity using the nine-item Patient Health Questionnaire in PWE experiencing negative health events in the past 6 months.

1. (a) To assess how depressive severity correlated with seizure frequency;

2. (b) To examine how outcomes such as quality of life are influenced by depressive severity;

3. (c) To investigate how demographic factors affect depressive severity.

Depressive severity was defined as a score of 0–9 for no depression to mild symptoms (NMD), 10–19 for moderate depression (MOD) and 20–27 for severe depression. Continuous variables were analysed using the Kruskal–Wallis equality-of-populations rank test, and categorical variables were compared using Fisher’s exact test. Baseline data were taken from Sequential, Multiple Assignment Randomized Trial no. NCT04705441.

The sample of 159 participants had a mean age of 39.46 years (s.d., 12.15), with the majority (n = 131, 82.4%) identifying as White. A total of 48% (n = 76) of participants met the criteria for NMD, 41% (n = 65) met those for MOD and 11% (n = 18) met those for severe depression. The severe depression group had significantly more seizures in the past 30 days, as well as greater perceived stigma, lower social support and lower quality of life, compared with the other groups. Race was found to correlate with depressive severity in NMD and MOD versus the severe depression group.

Among adults with epilepsy, depressive severity was positively correlated with seizure frequency and stigma and negatively correlated with quality of life, social support and overall functioning. These results highlight the importance of routine screening for depression, and of providing management of these symptoms in comprehensive epilepsy care.

Mental health difficulties affect the well-being of doctors and compromise the delivery of healthcare. However, large-scale data on doctors’ mental health needs are limited.

Describe patterns of self-referrals for mental health support among doctors in England and explore associations with demographic factors, speciality, neurodevelopmental and mental health indicators.

Observational study using data from doctors who self-referred for mental health difficulties to a national service in England over a 4-year period. Logistic regression was used to explore associations between speciality and mental health indicators.

Of the 16 815 doctors who self-referred during the study period, 80% were under the age of 49 and 70.6% were female with the two largest ethnicities being 65.1% White and 22.7% Asian. Women were more likely to report higher scores for depression (odds ratio 0.90, 95% CI = 0.84 to 0.97), anxiety (odds ratio 0.78, 95% CI = 0.72 to 0.84) and psychological distress (odds ratio 0.78, 95% CI = 0.70 to 0.87), but males were more likely to screen positive for attention-deficit hyperactivity disorder (ADHD) symptoms. Doctors in general practice accounted for 46.3% of referrals. Compared with them, doctors in most other specialities had higher odds of elevated mental health scores across all measures, including ADHD.

The findings highlight a significant mental health burden among self-referring doctors, particularly for females and doctors in non-general practice specialities. Tailored and easily accessible support strategies that account for both demographic and professional contexts are essential to address the diverse mental health needs of the medical workforce.

One of the challenges of psychological research is obtaining a sample representative of the general population. One largely overlooked participant characteristic is sub-clinical levels of psychiatric symptoms.

A series of studies were conducted to assess (i) whether typical psychology study participants had more psychiatric symptoms than the general population, (ii) whether there are sub-groups defined by psychiatric symptoms within the no-diagnosis, no-medication participant pool, and (iii) whether sub-clinical levels of psychiatric symptoms have an effect on standard behavioral tasks. Five UK national datasets (N > 10,000) were compared to data from psychology study participants (Study 1: n = 872; Study 2: n = 43,094; Study 3: n = 267).

Psychology study participants showed significantly higher levels of anxiety and depression and lower well-being, according to four commonly used mental health measures (GHQ-12, PHQ-8, WEMWBS, and WHO-5). Five sub-groups within the psychology study participant group were identified based on symptom levels, ranging from none to significant psychiatric symptoms. These groupings predicted performance on tests of executive function, including the Stroop task and the n-back task, as well as measures of intelligence.

This study demonstrates that standard psychology participant pools are unrepresentative and suggests that a failure to account for psychiatric symptoms when recruiting for any psychological study is likely to negatively impact the reproducibility and generalizability of psychological science.

Social interaction is a primary aspect of communicating how others judge us. It allows us to update ourselves and our expectations about others. While humans generally exhibit self-related positive biases in their updating behavior, theoretical accounts propose that this biased processing is attenuated, absent, or negatively biased in participants with depressive symptoms. The process of aligning and integrating social evaluative feedback in realistic interaction scenarios that would test this assumption is, however, lacking. We provide an event-related potential (ERP) study that combines neuronal (feedback-related negativity [FRN] and late positive potential [LPP]) and behavioral measures of evaluative feedback processing and updating behavior.

We selected healthy adults (N = 62) with depression scores spanning a range of low to high values, as measured by the Beck Depression Inventory (BDI). Participants received feedback from supposed experts and peer senders, with the feedback being manipulated to be worse, congruent, or better than the participants’ self-ratings.

Participants with higher depression scores exhibited more negative initial self-ratings and developed a more negative feedback expectation across the experiment. In addition, we found that higher depression scores led to more negative updating toward worse expert feedback and less positive updating after better peer feedback. Concerning ERPs, unexpected but not self-incongruent feedback increased the FRN, while both types of incongruence increased the LPP. Finally, BDI scores correlated with LPP amplitudes for all feedback.

The results contribute to a deeper understanding of how individuals process and integrate social evaluative feedback and its relation to depressive symptoms.

The January 2025 Los Angeles wildland-urban interface wildfires represent a significant environmental disaster, resulting in widespread evacuations. Beyond the immediate physical and economic devastation, wildfires can have profound and lasting impacts on the mental well-being of affected populations. This study compared mental health outcomes between Southern California residents who evacuated due to the fires and those who did not evacuate.

Southern California residents (N = 739) were surveyed 2-3 months after the January 2025 wildfires. Logistic regression models assessed the association of evacuation status with depression, anxiety, and PTSD, adjusting for demographics and baseline pre-fire levels of depression and anxiety.

Evacuating was significantly associated with higher odds of depression (AOR = 1.75 [1.08-2.85]) and PTSD (AOR = 2.44 [1.36-4.35]), after controlling for pre-fire mental health status and other demographic covariates. Evacuation status was not associated with anxiety.

These findings support previous research linking wildfire exposure to adverse mental health outcomes and highlight the importance of targeted mental health screening and support for wildfire evacuees, who are at increased risk for depression and PTSD.

As populations age rapidly, understanding the psychological benefits of sustained employment has become increasingly important. In South Korea, where the suicide rate among older adults is one of the highest among Organisation for Economic Co-operation and Development (OECD) countries, identifying modifiable social determinants, such as employment, may inform effective prevention strategies.

This retrospective cohort study used data from the Korean Welfare Panel Study (2009–2024), a nationally representative longitudinal survey. Individuals with depressive symptoms or suicidal ideation at baseline were excluded. The main exposure was participation in a government-led senior employment program. We employed discrete-time survival analysis using a generalized linear model with a complementary log–log link function, which appropriately handled the interval-censored structure of the panel data.

Older adults who participated in the employment program had a significantly lower risk of developing depressive symptoms (adjusted hazard ratio [HR] = 0.76, 95% confidence interval [CI]: 0.67–0.86) and suicidal ideation (adjusted HR = 0.60, 95% CI: 0.45–0.81) compared to those who did not participate. Subgroup analyses revealed that the strength of the association was particularly strong among individuals aged ≥80 years, those with chronic illness, poor self-rated health, and those who were previously or never married.

Structured government-supported employment may mitigate the risk of depressive symptoms and suicidal ideation in later life. These findings support the potential of senior employment programs as effective mental health promotion and suicide prevention strategies for aging populations.

Fear of cancer recurrence (FCR), defined as worry about cancer progression or return, is a common concern among patients and survivors. This study aims to identify factors influencing the onset of FCR and to evaluate its impact on emotional distress and quality of life (QoL) in patients undergoing systemic cancer treatment.

A sample of 175 patients undergoing systemic cancer treatment completed self-report questionnaires assessing socio-demographics, clinical factors and fear of cancer recurrence, anxiety, depression and QoL (FCRI, HADS, EORTC-QLQ-C30).

Data analysis using linear and generalized linear models revealed that FCR is inversely associated with QoL and positively correlated with anxiety and depression. These associations were independent of socio-demographic and clinical variables, with anxiety and depression fully mediating the FCR-QoL relationship. Gender and time since diagnosis emerged as significant predictors, with an increase in FCR at 12 months post-diagnosis.

Our results indicate that FCR, anxiety and depression linked, are present after several months post-diagnosis, suggesting that FCR tends to intensify over time. These findings carry important psychological implications, highlighting the need to support patients in recognizing and managing their fear and emotional distress. Implementing a psychoeducational counseling approximately six months after diagnosis – engaging oncologists, psycho-oncologists, and patients within a “stepped-care” framework – may be effective in mitigating FCR and its emotional consequences.

Depression rates are higher in women, especially during periods of hormonal fluctuation. Reproductive system disorders (RSDs), which often disrupt hormonal balance, may contribute to this mental health burden. Despite their prevalence and significant health implications, the link between RSDs and depression remains underexplored, leaving a gap in understanding these women’s mental health risks.

Using Danish nationwide health registers (2005–2018), we conducted a cohort study of 2,295,824 women aged 15–49, examining depression outcomes in 265,891 women diagnosed with 24 RSDs, including endometriosis, polycystic ovary syndrome, and pain-related diagnoses. For each RSD, age-matched controls were selected. We calculated incidence rates, incidence rate ratios, and prevalence proportions of depression diagnoses or antidepressant use around RSD diagnosis.

Across all RSD subtypes, women demonstrated higher rates of depression both before and after diagnosis, with a peak within the year following diagnosis. Incidence rate ratios within 1 year of RSD diagnosis ranged from 1.15 (95% confidence interval [CI] 1.06–1.25) to 2.09 (95% CI 1.98–2.21), depending on RSD subtype. Elevated depression prevalence was observed 3 years before diagnosis, suggesting mental health impacts may have preceded clinical RSD identification.

This study reveals a striking association between RSDs and depression. Women with RSDs are more likely to suffer from depression, before and after RSD diagnosis, highlighting the need for integrated mental health screening and intervention. With over 10% of women affected by RSDs, addressing this overlooked mental health burden is imperative for improving well-being in a significant portion of the population.