To evaluate the risk of posttraumatic stress disorder (PTSD) after indicated second-trimester termination of pregnancy (TOP) and to identify factors associated with a probable diagnosis of severe PTSD.

Secondary analysis of a multicenter randomized controlled trial comparing the efficacy of cervical dilators inserted concurrently with misoprostol with that of misoprostol alone for women undergoing TOP between 15^0/7 and 27^6/7 weeks of gestation. PTSD was evaluated by the Impact of Event Scale-Revised (IES-R) questionnaire, self-administered 1-4 months after TOP. This 22-item scale is designed to assess subjective distress caused by traumatic events and has been validated in perinatal care. The literature suggests that a score ≥33 indicates a probable diagnosis of PTSD and a score ≥37 a probable diagnosis of severe PTSD. Maternal and obstetric characteristics associated with a score ≥37 were studied with mixed models. We present results after multiple imputation to take selective dropouts and missing information at follow-up into account and for complete cases.

Among the 347 women enrolled, 247 (71.2%) IES-R questionnaires were available. Median time between TOP and completion of the questionnaire was 7 weeks (IQR, 4.9-13.3). The mean IES-R score was 32.1 (SD 15.4) The IES-R score was ≥33 for 44.9% (95%CI, 38.4-51.4) of women and ≥37 for 35.8% (95%CI, 29.7-41.8). After multivariate analysis, obstetric or labor-related characteristics such as parity, gestational age over 22 weeks, use of cervical dilators, labor > 12 h, and pain or complications during delivery or postpartum were not associated with an IES-R ≥37. The results were similar in complete cases.

Nearly half of women undergoing medically indicated second-trimester TOP were at risk of PTSD and more than one-third of severe PTSD. The absence of risk factors underlines the potential benefits of systematic psychological evaluation after TOP for all women.

Neuro-related proteins are promising biomarkers and therapeutic targets for Parkinson's disease (PD), yet their specific roles remain uncertain.

We conducted Mendelian randomisation by integrating protein quantitative trait loci with genome-wide association study data from 33,647 patients with PD and 449,056 controls for risk, 28,568 patients for age at onset (AAO), and 4093 patients for progression. Subsequent analyses included genetic colocalisation, protein-protein interaction, functional enrichment, tissue and cell-specific expression profiling, and druggability assessment. In an case-control study (30 patients with PD, 14 controls), plasma neuro-related proteins were measured using the Olink platform.

59 neuro-related proteins were associated with PD: 4 (CLEC1B, IL5RA, SNCG, CDH17) associated with risk, 7 with AAO, and 58 with progression. Colocalisation supported shared variants for TDGF1, PVR, and IL5RA with the progression. 47 proteins were evaluated as druggable targets. Pathway analysis highlighted cytokine-receptor interactions, neuroimmune modulation, and axon guidance. BMP-4, DDR1, GDNF, LAT, and MANF were found to be differentially expressed in patients with PD and correlated with the symptom severity.

This integrative genetic-proteomic-clinical framework identifies neuro-related proteins significantly associated with PD, offering mechanistic insights and prioritising therapeutic targets.

National Natural Science Foundation of China (NO: U24A20694, NO: 82471433), and Scientific Research Foundation of Guangzhou (NO: 202206010005) to QW; and National Natural Science Foundation of China (NO: 82401641) to BD; and Basic and Applied Basic Research of Guangdong (NO: 2025A1515012456) to WLY; and Ministry of Education Academic Research Fund Tier 1 (RG111/24) to JNF; and National Medical Research Council grants to EKT.

Forced displacement exposes refugees to a wide range of potentially traumatic experiences, increasing their vulnerability to mental health problems. However, longitudinal research indicates substantial heterogeneity in refugees' mental health trajectories. This systematic review aimed to synthesize existing evidence on these trajectories using growth mixture modeling and to identify predictors of differential outcomes.

A systematic search of peer-reviewed articles was conducted in PsycINFO, Medline, PTSDPubs, and Web of Science. Studies investigating refugees' mental health trajectories longitudinally using growth mixture modeling were included. Two independent reviewers systematically screened studies for eligibility and assessed methodological quality and risk of bias.

A total of 1271 publications were initially identified, of which seven met the inclusion criteria, resulting in a total of 13 distinct trajectory analyses. All studies identified chronic trajectories, followed by resilient and recovery patterns, with delayed trajectories emerging as the least frequent pattern. Among those trajectories identified, the prevalence rates within studies were highest for the resilient trajectory (57.4 %), followed by recovery (29.4 %), chronic (14.4 %), and delayed (14.3 %). Across studies, older age was associated with increased risk for unfavorable trajectories, whereas greater social support was linked to more favorable trajectories. Findings regarding gender differences were mixed.

This review suggests that refugees may follow similar mental health trajectories as other trauma-exposed populations, though notable differences in their distribution exist. Person-centered approaches such as growth mixture modeling offer valuable insights but remain underutilized. Longitudinal, theory-driven research is needed to inform tailored psychological interventions in displaced populations.

To establish a pharmacokinetic model-based method for converting random concentrations of quetiapine (QTP) and its active metabolite N-desmethylquetiapine (N-QTP) to steady-state trough concentrations, and validate its component-specific accuracy using paired patient data to address the clinical challenge of interpreting non-standard time samples in therapeutic drug monitoring (TDM).

Core pharmacokinetic parameters (QTP half-life: 7 h; N-QTP half-life: 12 h) were confirmed via systematic literature review. Phase-specific conversion formulas were derived based on first-order kinetic decay, with 14 h post-dose as the standard trough time (midpoint of 12-16 h guideline window). A longitudinal validation cohort of 80 schizophrenia patients (steady-state QTP administration ≥7 days) was enrolled: each patient underwent two blood samplings on separate dosing days (1 random time point [2-26 h] and 1 standard 14 h trough sampling). Python was used to calculate conversion coefficients (1-48 h), and accuracy was validated by comparing QTP-specific, N-QTP-specific, and total estimated trough concentrations with concurrently measured trough concentrations (gold standard).

Conversion coefficients for 1-48 h were generated. Validation with paired data (n = 80) showed strong component-specific and overall agreement: For QTP alone, Pearson correlation coefficient (r) = 0.89 (P < 0.001), mean relative error (RE) = 10.1 % ± 4.2 % (range: 5.3 %-15.8 %), and 82.5 % of estimates with RE < 15 %; for N-QTP alone, r = 0.91 (P < 0.001), mean RE = 7.8 % ± 3.1 % (range: 3.2 %-13.2 %), and 93.8 % of estimates with RE < 15 %; for total concentration (QTP + N-QTP), r = 0.92 (P < 0.001), mean bias = -5.2 ng/mL (95 % CI: -11.7-1.3), limits of agreement (LOA) = -34.8-24.4 ng/mL, mean RE = 9.2 % ± 3.7 % (range: 4.8 %-14.5 %), and 87.5 % of estimates with RE < 15 %. Stratified analysis by sampling time point confirmed consistent accuracy across 2-26 h, with optimal performance at 6-10 h (RE < 9 %).

The conversion method, rigorously validated for both QTP and N-QTP with paired patient data, demonstrates robust component-specific and overall accuracy for clinical use. It provides a practical, eadily applicable lookup table to facilitate TDM interpretation when standard trough sampling is unfeasible, thereby supporting personalized quetiapine therapy for schizophrenia and bipolar disorder.

Cerebral palsy (CP) is one of the most prevalent long-term childhood conditions. Children and adolescents with CP are at elevated risk for mental health difficulties, which contribute to reduced quality of life and daily functioning. Sleep difficulties are a well-established risk factor for mental health. Poor sleep quality has been linked to worse mood in youth with and without neurodevelopmental disabilities. However, most studies in youth with CP have focused on average sleep metrics over time, rather than examining intraindividual variability (IIV) using daily assessments, which may reduce retrospective reporting biases. This study examined the dynamic and bidirectional association between sleep quality, sleep duration, and mood in youth with CP.

Thirty-two youth with CP (aged 11-17 years; 45.5 % girls) were recruited from health and community agencies. Youth completed daily diaries over seven consecutive days. Each day, youth rated their sleep quality, sleep duration, and levels of daily mood (operationalized as positive and negative affect using the Positive and Negative Affect Scale [PANAS]). Multilevel models examined bidirectional associations between sleep quality, sleep duration, and mood, controlling for gender, age, and GMFCS level.

At the between-person level, higher previous-day sleep quality was significantly associated with greater next-day positive mood and lower negative mood, and higher negative mood was associated with poorer sleep quality the following night. At the within-person level, increases in sleep quality were associated with higher next-day positive mood only. Sleep duration was not significantly associated with next-day mood at either level.

Findings highlight both between-person and within-person associations between sleep quality and mood in youth with CP, with bidirectional associations observed at the between-person level and unidirectional associations at the within-person level.

Socioeconomic status (SES) is generally considered to exert a positive influence on subjective well-being (SWB). However, under the current economic downturn context, this relationship has become increasingly complex. Psychosomatic symptoms, as important factors affecting SWB, may play a crucial role. This study aimed to systematically examine their interrelationships.

A nationwide cross-sectional online survey was conducted, collecting data on objective SES (oSES), subjective SES (SSS), psychosomatic symptoms, and SWB. A total of 27,876 valid participants (female, 65.9%) were included. Structural equation modeling, subgroup stratification, and mediation analyses were employed to evaluate the associations among these variables.

In the overall sample, oSES was significantly and positively associated with SSS, but negatively associated with SWB. Psychosomatic symptoms showed strong negative associations with SWB and significantly mediated the relationship between oSES and SWB, accounting for 40.9% of the total effect. Fatigue, irritability or suicidal ideation, and pain emerged as the most influential mediators. Subgroup analyses indicated notable heterogeneity across age and SES groups.

In today's socioeconomic context, the association between SES and SWB has shifted, with psychosomatic symptoms serving as a key mediating mechanism. Efforts to enhance SWB should focus not only on socioeconomic resource distribution but also on the early detection and management of psychosomatic symptoms.

The Collaborative Care Model (CoCM) is an evidence-based model designed for primary care and has shown improved late-life depression outcomes. This study explored the perspectives of a non-specialist workforce, community health workers (CHWs), on adapting CoCM to community organizations by expanding CHW roles to include that of behavioral health care manager (BHCM).

Guided by the Theoretical Framework of Acceptability, we conducted semi-structured interviews with CHWs from community-based and clinical settings across five states.Participants discussed their attitudes, perceived self-efficacy, and recommendations regarding four BHCM tasks: administering behavioral health measures, using a patient registry, collaborating with mental health specialists and primary care providers, and delivering psychosocial interventions. Thematic analysis was used to analyze the data.

CHWs expressed interest, support, and perceived self-efficiacy, with traiing and supervision, for the proposed role expansion, and cited alignment with their mission and community needs. Their strengths included community trust, linkage, and knowledge of resources as a workforce. Collaborating with mental health specialists was viewed as a model strength, but collaboration with primary care providers was a potential barrier.

Findings support the acceptability of developing a BHCM workforce among CHWs, but understanding the perspectives of other stakeholders would be warranted for CHW role redesign.

Healthy aging is accompanied by widespread changes in cortical structure and function, particularly within networks supporting multisensory integration and cognitive control. However, it remains unclear whether age-related neural alterations can be reliably decoded from individual brain activity patterns, especially under different cognitive states. This study examined whether age-related neural alterations can be decoded from time-domain functional near-infrared spectroscopy (fNIRS) signals during resting and complex audiovisual processing. fNIRS data were collected from cognitively normal younger and older adults across temporal, frontal, and parietal cortices. Nine time-domain features of oxygenated hemoglobin (HbO) were extracted and analyzed using supervised machine learning (SVM). Decoding accuracy was low at rest (peak = 0.651 with kurtosis alone) and remained poor across different classifiers. In contrast, during the audiovisual dual-task, a combination of five features-variance, peak, time-to-peak, slope, and skewness-achieved high classification accuracy (0.810), revealing robust age-related neural signatures. Spatial analysis showed that discriminative optodes were bilaterally distributed but functionally asymmetric: left temporoparietal regions were primarily involved in auditory processing and multisensory integration, whereas right frontoparietal regions supported attentional control and top-down regulation. These findings demonstrate that age-related neural dynamics are best captured under high cognitive load, highlighting time-domain fNIRS features as sensitive markers of cortical reorganization and potential indicators of healthy brain aging.