Accurate and up-to-date epidemiological data on the prevalence and treatment of common mental disorders are essential for evidence-based healthcare policy and resource allocation. However, large-scale, representative epidemiological surveys on common mental disorders in China—particularly those incorporating insomnia disorder and applying the latest diagnostic criteria alongside validated assessment tools—remain notably lacking.

We conducted a population-based, cross-sectional epidemiological survey to assess the prevalence and treatment of common mental disorders among adults in Beijing, China, using a multistage clustered probability sampling design (n = 10,778). Licensed psychiatrists administered standardized diagnostic interviews based on DSM-5 criteria to assess both lifetime and current mental disorders through a single-stage assessment protocol.

Among all lifetime mental disorders assessed, depressive disorders constituted the most prevalent diagnostic category (7.7%), with major depressive disorder representing the most common specific diagnosis (5.4%). Individuals aged 65 years and older exhibited significantly higher 1-month prevalence of both depressive disorders and insomnia disorder compared with younger age groups. Alcohol-related disorder was more prevalent in men than in women, and in urban residents than in rural residents. Help-seeking patterns revealed a predominant reliance on informal support over professional services among individuals with lifetime mental disorders. Only 13.4% sought help from mental health professionals, and 12.7% received mental health professional treatment.

The improved access to treatment did not translate into a reduction in population-level mental disorder prevalence, which may be attributable to the low rate of professional mental health treatment. Governments must optimize mental healthcare access.

Remote injury assessment during natural disasters poses major challenges for healthcare providers due to the inaccessibility of disaster sites. This study aimed to explore the feasibility of using artificial intelligence (AI) techniques for rapid assessment of traumatic injuries based on gait analysis.

We conducted an AI-based investigation using a dataset of 4500 gait images across 3 species: humans, dogs, and rabbits. Each image was categorized as either normal or limping. A deep learning model, YOLOv5—a state-of-the-art object detection algorithm—was trained to identify and classify limping gait patterns from normal ones. Model performance was evaluated through repeated experiments and statistical validation.

The YOLOv5 model demonstrated high accuracy in distinguishing between normal and limp gaits across species. Quantitative performance metrics confirmed the model’s reliability, and qualitative case studies highlighted its potential application in remote, fast traumatic assessment scenarios.

The use of AI, particularly deep convolutional neural networks like YOLOv5, shows promise in enabling fast, remote traumatic injury assessment during disaster response. This approach could assist healthcare professionals in identifying injury risks when physical access to patients is restricted, thereby improving triage efficiency and early intervention.

Mental disorder may affect individual’s ability to operate the motor vehicle. Previous studies have found that patient’s negative emotions may trigger aggressive driving behaviors. Thus, efficiently evaluating the correlation between emotions and driving behaviors in individuals with mental disorders has been drawn emphasis.

To explore the related factors of fitness-to-drive of individuals with mental disorders, to determine the application value of traffic psychology scales in assessment for fitness-to-drive of individuals with mental disorders, and to help establish consummate and effective assessment systems.

One hundred individuals with mental disorders were enrolled as the patient group, and 100 healthy individuals were enrolled as the control group. Positive and Negative Syndrome Scale (PANSS) was used to assess the psychiatric symptoms of the patient group. Driver Profile of Mood States (DPOMS), Driver Anger Scale (DAS), and Driving Behavior Scale (DBS) were used to evaluate the performance during driving within two groups. T-test were used to compare the differences in each factor score of traffic psychology scales within two groups. Pearson’s correlation analysis was used to calculate the correlation between scores of PANSS and scores of traffic psychology scales of the patient group.

The patient group had significantly higher score of driving function deficit in DBS than the control group (t=2.48, P<0.05), but scores of hostile gestures, impolite driving, overly cautious behaviors in DBS and total score of DAS showed the opposite (P<0.05). Positive syndrome in PANSS was positively related to traffic congestion in DAS (r = 0.315, P < 0.05). Anger in DPOMS was positively related to driving function deficit (r = 0.488, P < 0.01) and hostile behaviors in DBS (r = 0.510, P < 0.01), whereas it was negatively related to overly cautious behaviors in DBS (r = -0.417, P < 0.05). Anxiety and depression were also related to some factors in DAS and DBS.

The study found the practical application value of DPOMS, DAS, and DBS in assessment for fitness-to-drive of individuals with mental disorders. Patient’s anger in specific traffic situations such as traffic congestion may be mainly related to their positive syndrome. Patient’s anger may be a trigger of aggressive driving behaviors, and other emotions such as anxiety and depression also play important roles. Patient’s aggressive driving behaviors may be attributed to the compounding of many negative emotions.

S. Wang: None Declared, X. Ling: None Declared, Q. Zhang: None Declared, H. Li Grant / Research support from: This study was supported by National Key R & D Program of China [grant number 2022YFC3302001], National Natural Science Foundation of China [grant number 81801881], Science and Technology Committee of Shanghai Municipality [grant numbers 20DZ1200300, 21DZ2270800, 19DZ2292700].

Violence is a major global health concern among patients with schizophrenia. However, the triggers of violent behavior remain unclear. In previous studies, familial risk factors are believed to be associated with mental disorders and violence. The relationship between parental bonding or childhood adversity and psychopathologic behavior (such as violence) has rarely been evaluated.

The study aimed to explore the relationship between violent behavior and childhood experience and to determine the role of the early child-parent bond in violence risk in patients with schizophrenia.

The study enrolled 287 patients with schizophrenia and 100 healthy controls. Patients were divided into 3 groups: patients with homicidal history (Group A), patients with violent behavior and without homicidal history (Group B) and patients without violent behavior (Group C). Childhood trauma questionnaire (CTQ), parental bonding instrument (PBI) and modified overt aggression scale (MOAS) were used to explore the violent behavior and childhood experience. All individuals participated voluntarily and provided informed consent. This study was approved by the ethics committee of the Academy of Forensic Science.

The findings indicated the proportion of males to be higher in the patient groups than in the healthy controls, especially in the group with homicidal history. Patients had a significantly higher prevalence of sexual abuse, emotional abuse and emotional neglect than the healthy controls. The emotional abuse and emotional neglect were found to be positively and negatively related to MOAS scores. Maternal over protection was found to be negatively related to the MOAS scores. On the CTQ subscales, emotional neglect was significantly associated with violence risk (OR=1.13, 95% CI=1.04–1.22). On the PBI subscales, maternal and paternal care (0.84, 0.74–0.94 and 1.30, 1.13–1.49) and over protection (1.18, 1.07–1.29 and 0.87, 0.81-0.95) were found to be significantly associated with violence risk. Maternal and paternal over protection were significantly associated with homicide risk (0.87, 0.78-0.97 and 1.10, 1.01-1.20).

The schizophrenia patients with violence might suffer lower paternal care and emotional abuse during the childhood. In terms of violence in schizophrenia patients, paternal over protection and maternal care might be a protective factor and emotional neglect, maternal over protection and paternal care might be a risk factor. In terms of homicide in schizophrenia patients, paternal over protection might be a risk factor and maternal over protection might be a protective factor. Therefore, childhood trauma and parental care and over protection could be a potential reference indicator for assessing violence risk in patients with schizophrenia.

X. Ling: None Declared, S. Wang: None Declared, N. Li: None Declared, Q. Zhang: None Declared, H. Li Grant / Research support from: This study was supported by National Key R & D Program of China [grant number 2022YFC3302001], National Natural Science Foundation of China [grant number 81801881], Science and Technology Committee of Shanghai Municipality [grant numbers 20DZ1200300, 21DZ2270800, 19DZ2292700].

Major depressive disorder (MDD) tends to emerge during adolescence; however, neurobiological research in adolescents has lagged behind that in adults. This study aimed to characterize gray matter (GM) structural alterations in adolescents with MDD using comprehensive morphological analyses.

This study included 93 adolescent MDD patients and 77 healthy controls. Voxel-based morphometry (VBM), deformation-based morphometry (DBM), and surface-based morphometry (SBM) methods were used to analyze GM morphological alterations in adolescent MDD patients. Sex-by-group and age-by-group interactions, as well as the relationships between altered GM structure and clinical characteristics were also analyzed.

Whole-brain VBM and DBM analyses revealed GM atrophy in the left thalamus and bilateral midbrain in adolescent MDD patients. Whole-brain SBM analysis revealed that adolescent MDD patients, relative to controls, showed decreased thickness in the left postcentral gyrus and left precentral gyrus; increased thickness in the bilateral superior temporal gyrus, left parahippocampal gyrus and right lateral orbitofrontal gyrus; and decreased fractal dimension in the right lateral occipital gyrus. A significant sex-by-group interaction effect was found in the fractal dimension of the left lateral occipital gyrus. The volume of the left thalamus and the thickness of the left superior temporal gyrus were correlated with the duration of disease in adolescent MDD patients.

This study suggested that adolescent MDD had GM morphological abnormalities in the frontal-limbic, subcortical, perceptual network and midbrain regions, with some morphological abnormalities associated with disease duration and sex differences. These findings provide new insight into the neuroanatomical substrates underlying adolescent MDD.

This systematic review aims to synthesise findings from randomised, controlled trials and assess the efficacy and safety of radiofrequency ablation in treating allergic rhinitis.

A thorough search was conducted across PubMed, the Cochrane Library, Embase, Web of Science, China National Knowledge Infrastructure, WanFang, Chinese Scientific Journal, and Chinese Biomedical Literature databases from their inception until October 2023. The primary outcome measure was the total effective rate, with secondary outcomes including adverse events.

This review included 15 randomised, controlled trials involving 1430 patients. The pooled analysis revealed a statistically significant effect on the total effective rate (odds ratio = 3.27, 95 per cent confidence interval = 2.37 to ~4.51). However, no statistical significance was observed in adverse events (odds ratio = 1.18, 95 per cent confidence interval = 0.67 to ~2.08).

Based on the analytical results, radiofrequency ablation emerges as an efficacious and safe treatment modality for allergic rhinitis. Given the constraints posed by a limited sample size, it is imperative that forthcoming clinical trials adhere rigorously to the gold standard of randomised, controlled trials for the purpose of corroborating these conclusions.

Late-life depression (LLD) predisposes individuals to cognitive decline, often leading to misdiagnoses as mild cognitive impairment (MCI). Voxel-based morphometry (VBM) can distinguish the profiles of these disorders according to gray matter (GM) volumes. We integrated findings from previous VBM studies for comparative analysis and extended the research into molecular profiles to facilitate inspection and intervention.

We comprehensively searched PubMed and Web of Science for VBM studies that compared LLD and MCI cases with matched healthy controls (HCs) from inception to 31st December 2023. We included 13 studies on LLD (414 LLDs, 350 HCs) and 50 on MCI (1878 MCIs, 2046 HCs). Seed-based d Mapping with Permutation of Subject Images (SDM-PSI) was used for voxel-based meta-analysis to assess GM atrophy, spatially correlated with neuropsychological profiles. We then used multimodal and linear-model analysis to assess the similarities and differences in GM volumetric changing patterns. Partial least squares (PLS) regression and gene enrichment were employed for transcription-neuroimaging associations.

GM volumes in the left hippocampus and right parahippocampal gyrus are more affected in MCI, along with memory impairment. MCI was spatially correlated with a more extensive reduction in the levels of neurotransmitters and a severe downregulation of genes related to cellular potassium ion transport and metal ion transmembrane transporter activity.

Compared to LLD, MCI exhibited more GM atrophy in the hippocampus and parahippocampal gyrus and lower gene expression of ion transmembrane transport. Our findings provided imaging-transcriptomic-genetic integrative profiles for differential diagnosis and precise intervention between LLD and MCI.

This study aimed to investigate the impact of vitamin D deficiency on vestibular function and recurrence in patients with benign paroxysmal positional vertigo.

This study enrolled 138 patients diagnosed with benign paroxysmal positional vertigo. Vestibular function was evaluated, including ocular vestibular evoked myogenic potentials, cervical vestibular evoked myogenic potentials and caloric tests. Vitamin D levels were recorded.

There was a significant difference in mean vitamin D levels between the normal and abnormal groups of the caloric test, cervical vestibular evoked myogenic potentials, and ocular vestibular evoked myogenic potentials. The likelihood of abnormal vestibular function was lower in patients with normal vitamin D levels than those with deficient levels (< 10 ng/ml). Vitamin D levels were the only predictive factor for recurrence among patients with benign paroxysmal positional vertigo.

A deficiency in vitamin D is more likely to result in abnormalities in the caloric test, cervical vestibular evoked myogenic potentials, and ocular vestibular evoked myogenic potentials in benign paroxysmal positional vertigo patients. The interaction among these factors may contribute to the recurrence.

This study aimed to evaluate the methodological quality of existing meta-analyses (MA) and the quality of evidence for outcome indicators to provide an updated overview of the evidence concerning the therapeutic efficacy of the Mediterranean diet (MD) for various types of CVD.

We conducted comprehensive searches of PubMed, Cochrane Library, and Embase databases. The quality of the MA was assessed using the A Measurement Tool to Assess Systematic Reviews 2 (AMSTAR 2) checklist, while the Grading of Recommendations Assessment, Development and Evaluation (GRADE) evidence evaluation system was employed to evaluate the quality of evidence for significant outcomes.

The CVD remains a significant contributor to global mortality. Multiple MA have consistently demonstrated the efficacy of medical interventions in managing CVD. However, due to variations in the scope, quality and outcomes of these reviews, definitive conclusions are yet to be established.

This study included five randomized trials and twelve non-randomized studies, with a combined participant population of 716 318.

The AMSTAR 2 checklist revealed that 54·55 % of the studies demonstrated high quality, while 9·09 % exhibited low quality, and 36·36 % were deemed critically low quality. Additionally, there was moderate evidence supporting a positive correlation between MD and CHD/acute myocardial infarction, stroke, heart failure, cardiovascular events, coronary events and major adverse cardiovascular events.

This study indicates that although recognizing the potential efficacy of MD in managing CVD, the quality of the methodology and the evidence for the outcome indicators remain unsatisfactory.