Refugee youth are at elevated risk for post-traumatic stress disorder (PTSD) and other mental health disorders, yet systemic and cultural barriers limit access to care. Scalable, transdiagnostic interventions such as Problem Management Plus (PM+) are promising, but their impact on trauma symptoms is modest. Incorporating brief trauma-focused components may enhance effectiveness.

To evaluate the feasibility and acceptability of PM+ with an emotional processing module (PM+EP) for refugee youth aged 16–25 years in the Netherlands.

Refugee youth with elevated psychological distress (K10 > 15) and impaired functioning (World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) > 16) were randomised into PM+EP, PM+ with supportive counselling (PM+SC), or care as usual (CAU). Feasibility and acceptability were assessed via recruitment, adherence, fidelity and qualitative interviews. Psychological distress, PTSD symptoms, functioning and self-identified problems were measured at baseline, post-intervention and follow-up. Registered in Overview of Medical Research in the Netherlands (OMON; Trial ID: NL-OMON56254).

Fifty-two participants were randomised (PM+EP: n = 17; PM+SC: n = 19; CAU: n = 16). Attendance and fidelity were high, and PM+ interventions were rated as acceptable and culturally appropriate. No significant between-group differences were observed in the primary analyses. Exploratory analyses suggested greater short-term symptom reduction for probable depression in PM+EP versus CAU (b = –0.79, s.e. = 0.38, p = 0.04). Effect size estimates ranged from small to large across outcomes (Hedges’ g = –0.98 to 0.19).

PM+ is feasible, acceptable and safe for refugee youth aged 16 years and older. The potential added value of the EP module remains unclear and warrants further investigation.

The trial was registered in the Dutch clinical trial registration: Overview of Medical Research in the Netherlands (OMON) (Trial ID: NL-OMON56254; https://onderzoekmetmensen.nl/en/trial/56254).

Post-traumatic stress symptoms (PTSS) are a substantial yet underrecognised mental health concern in oncology. Large-scale epidemiological data across diverse cancer types are scarce. This study aimed to estimate the prevalence of post-traumatic stress disorder (PTSD) and to identify socio-demographic and psychosocial correlates in a large, unselected outpatient cohort.

In this cross-sectional study, 4,103 adult outpatients with solid tumours or haematologic malignancies were screened during routine care using the PTSS-8-Cancer scale. Socio-demographic, clinical and psychosocial variables were collected concurrently. Associations between screening results and patient characteristics were examined using correlational and chi-square analyses.

Overall, 32.5% screened positive for probable PTSD. Prevalence was highest in breast cancer (39.7%), female genital cancers (37.2%) and head and neck cancers (36.1%). A positive screening for PTSD was more common among women, younger patients, those with lower income, without a partner and with a history of psychiatric illness. While these associations were statistically significant, effect sizes were generally small.

One in three cancer outpatients experience substantial PTSS, with elevated prevalence in certain diagnostic groups. Small effect sizes for socio-demographic predictors underscore that psychological distress is broadly distributed. Findings support universal psychosocial screening and integration of trauma-informed care into oncology services to address a significant, population-level mental health burden.

Post-traumatic stress disorder (PTSD) symptoms can fluctuate substantially over short periods, yet routine screening typically relies on infrequent self-report. Wearable sensors provide continuous behavioural and physiological signals that may help identify periods of elevated risk.

This study aimed to evaluate whether combining wearable sensor features with daily self-report data could identify short-term PTSD symptom increases among recently discharged veterans.

Seventy-four veterans wore commercial activity trackers and completed brief daily questionnaires over 87 days. For each participant, we defined an individual baseline by using the first 14 days of PTSD scores. Wearable variables were transformed into baseline-referenced deviation features to capture departures from personal norms. Missing data were addressed with multiple imputation by chained equations. Candidate predictors were prioritised with least absolute shrinkage and selection operator regression, and a set of machine-learning classifiers was evaluated. Primary performance was assessed by using the area under the precision–recall curve (PR AUC).

Across feature set sizes (k = 1–25), performance peaked at k = 17. At this iteration, LightGBM achieved the strongest discrimination (PR AUC 0.86 (s.d. 0.07); area under the receiver-operating characteristic curve 0.89 (s.d. 0.04)) with a precision of 0.67 (s.d. 0.08), recall of 0.64 (s.d. 0.08) and F1 of 0.65 (s.d. 0.07). Key predictors reflected a multimodal profile, combining self-reported affect and perceived stress with wearable indicators of sleep continuity, activity variability and autonomic regulation.

Baseline-referenced wearable features combined with daily self-report may help identify near-term PTSD symptom increases among recently discharged veterans with elevated PTSD symptoms and problematic cannabis use. Future work should validate performance in broader PTSD populations, including samples without problematic cannabis use.

Peritraumatic dissociation and distress are among the most frequently studied early correlates of post-traumatic stress disorder (PTSD), yet their temporal role following large-scale disasters remains insufficiently understood.

This study examined the temporal relationship between peritraumatic dissociation, peritraumatic distress and PTSD symptoms across 3 waves spanning 2 years following the February 2023 Turkey earthquakes.

Data were collected approximately 2 months (Time 1; N = 261), 1 year (Time 2; n = 182) and 2 years post-earthquake (Time 3; n = 131). PTSD symptoms, peritraumatic dissociation and peritraumatic distress were assessed using validated self-report instruments. Pearson correlation analyses and parallel-process latent growth curve models (LGMs) were used to examine temporal changes and longitudinal associations.

Higher initial levels of peritraumatic dissociation (β = 0.40, p < 0.001) and distress (β = 0.46, p < 0.001) significantly predicted greater initial PTSD severity. However, neither peritraumatic dissociation nor distress predicted the slope of PTSD symptoms over time, and slope covariances were non-significant. All three variables declined substantially across waves (ηp2 = 0.75 to 0.79).

Peritraumatic reactions appear to function primarily as indicators of early PTSD severity rather than determinants of long-term symptom trajectories. These findings support multi-stage screening approaches that extend beyond early peritraumatic assessments to incorporate post-traumatic cognitive, social and environmental factors.

Among military veterans, loneliness is common and associated with poorer mental and physical health and functioning. Epidemiological studies have revealed bidirectional, longitudinal associations between loneliness and posttraumatic stress disorder (PTSD). Little is known about loneliness among treatment-seeking veterans, how loneliness impacts PTSD symptom change during treatment, and whether loneliness has differential associations with specific PTSD symptom clusters.

Data were derived from the Veterans Outcome Assessment, an annual, repeated-measures (baseline and 3-month follow-up) telephone survey of patients beginning new episodes of mental health care in the Department of Veterans Affairs. Participants were 1,155 veterans (23% women) entering PTSD specialty care. We tested whether baseline loneliness predicted change in total PTSD symptom severity and according to the five-factor Dysphoric Arousal model of PTSD using hierarchical regressions in which we statistically adjusted for demographics and mental health encounters.

Loneliness decreased between baseline and 3-month follow-up (d = 0.39). Baseline loneliness predicted change in PTSD for the dysphoric arousal and negative alterations in cognitions and mood symptom clusters, with lonelier veterans demonstrating more PTSD change between baseline and follow-up. However, lonelier veterans also had more severe PTSD symptoms at both timepoints. This pattern of results held even after accounting for different types of treatment encounters between timepoints.

While lonelier veterans have more severe PTSD symptoms, they also make greater improvements in symptoms salient to interpersonal functioning over time. Assessment of loneliness should be incorporated into PTSD treatment planning and considered as a treatment target that could be addressed to promote recovery.

Few studies have examined how differing diagnostic criteria for mild cognitive impairment (MCI) relate to neuroimaging markers of cerebrovascular disease and neurodegeneration in Veterans. We compared three MCI diagnostic schemes on their associations with white matter hyperintensity (WMH) burden, hippocampal volume, and cortical thickness in nondemented Vietnam-era Veterans.

228 Veterans (mean age = 69.65) were classified using: (1) Alzheimer’s Disease Neuroimaging Initiative (ADNI) criteria (subjective memory concerns, impaired Logical Memory, global Clinical Dementia Rating = 0.5); (2) neuropsychological criteria (>1 standard deviation [SD] below norms on two tests within a domain or one test across three domains); and (3) typical criteria (subjective memory concerns and >1.5 SD below norms on one test). Regression models predicting WMH burden adjusted for age and intracranial volume and included MCI status and hippocampal volume; ADNI-based models also included posttraumatic stress disorder symptom severity.

Neuropsychological criteria were associated with greater WMH burden (β = 0.45, p = .024), whereas typical and ADNI criteria were not. Sensitivity analyses found that meeting neuropsychological criteria for amnestic MCI interacted with lower hippocampal volume to predict greater WMH burden (β = −0.001, p = .028). No criteria were associated with cortical thickness.

Neuropsychological criteria more sensitively identified Veterans with greater WMH burden and demonstrated a small, hippocampal volume-dependent effect in amnestic MCI. These findings support the clinical utility of multi-test neuropsychological approaches for detecting complex brain changes in high-comorbidity populations, with implications for risk stratification and targeted intervention in aging Veterans.

Difficulties with social cognition, particularly with mentalising, have been hypothesised to increase the risk of, and affect recovery from, trauma and post-traumatic stress disorder (PTSD). We lack a comprehensive picture of the nature of social cognitive impairments in people with PTSD.

To assess whether variation in social cognition is associated with trauma and PTSD.

Ninety-eight participants with PTSD symptoms and 99 controls were recruited from tertiary PTSD services and the Prolific online platform. All participants completed a battery of social cognition tasks covering face emotion recognition, social attribution and mentalisation. They also completed a trauma measure, PTSD screening measure and verbal IQ task. Logistic regression analyses were used to examine the relationship between social cognition and PTSD, and were adjusted for age, gender, autism and verbal IQ.

There was some evidence that hypomentalisation, measured via the Reflective Functioning Questionnaire, was associated with exposure to trauma (adjusted odds ratio 1.80, 95% CI 1.03–3.14, p = 0.040) and increased odds of PTSD symptoms (adjusted odds ratio 4.29, 95% CI 2.76–6.66, p < 0.001). Higher scores for use of mentalising language on a naturalistic video-based spontaneous mentalising task (Modified-STOMP; potentially reflecting hypermentalising) were also associated with increased odds of PTSD symptoms (adjusted odds ratio 1.65, 95% CI 1.17–2.33, p = 0.004) in the main analysis, but not in the sensitivity analysis restricted to the Prolific-only sample.

Our results show an association between mentalising difficulties and PTSD symptoms, indicating mentalising might be a target for future risk prediction.

Cognitive behavioural therapy (CBT) is the first-line treatment for anxiety and related disorders. Limited research has explored long-term outcomes following CBT for anxiety-related disorders in naturalistic settings, particularly for generalized anxiety disorder (GAD), social anxiety disorder (SAD), and post-traumatic stress disorder (PTSD).

This study examined long-term outcomes and attrition after group CBT for GAD, SAD, and PTSD in a naturalistic sample. Across disorders, it was hypothesized that gains would be maintained long-term, with a gradual return of clinically relevant symptoms observed at later follow-up points.

Data were collected from individuals completing CBT at a tertiary anxiety treatment clinic. Symptom changes pre- to post-treatment and over a 2-year follow-up were examined, as well as the influence of baseline depressive symptoms on change over time. Worry, social anxiety, and post-traumatic stress symptoms were assessed at pre- and post-treatment and 3, 6, 9, 12, and 24 months.

On average, symptom improvements were maintained over the 2-year follow-up for all disorders. Higher pre-treatment depression was associated with greater symptom severity throughout the study but generally did not affect the magnitude of symptom change. The exception was PTSD, where baseline depression was also associated with changes in symptom severity across the whole study period. This effect was not observed for those with SAD and GAD. Attrition was high across the follow-up period.

This study provides preliminary evidence for the long-term efficacy of CBT in a naturalistic setting. It also highlights challenges with retaining clients in long-term follow-up in naturalistic settings.

The COVID-19 pandemic raised concerns about the mental health of an already burdened healthcare workforce. This study examined mental health trajectories among healthcare workers (HCWs) across the pandemic and identified personal and employment factors associated with different symptom patterns.

Longitudinal data were drawn from the NHS CHECK cohort, including clinical and non-clinical staff from 18 NHS Trusts in England (April 2020–April 2023). Growth curve and growth mixture models identified latent classes of HCWs characterized by distinct trajectories of probable common mental disorders. Secondary outcomes included anxiety, depression, alcohol misuse, and post-traumatic stress symptoms. Logistic regression examined associations between baseline personal and employment characteristics and class membership.

The analytical sample included 22,764 participants. For each outcome, growth mixture models identified two latent classes. Approximately 31% of HCWs experienced persistently high symptoms of probable common mental disorders, while 69% experienced persistently low symptoms. Similar patterns were observed for secondary outcomes, with small subgroups demonstrating worsening symptoms followed by improvement. Logistic regression analyses showed that being female, younger, single, working as a nurse, or having a pre-existing mental health diagnosis increased the odds of belonging to a high symptom class. Perceived support from colleagues and managers was protective.

While many HCWs reported consistently low mental health symptom levels, almost a third belonged to a latent class characterized by persistently high symptoms across all time points. These findings underscore the need for mental health support for vulnerable HCW groups, embedded within routine NHS practice rather than limited to crisis periods.