We aimed to report an overview of trends in suicide mortality and years of life lost (YLLs) among adolescents and young adults aged 10–24 years by sex, age group, Socio-demographic Index (SDI), region and country from 1990 to 2021 as well as the suicide mortality with age, period and birth cohort effects.

Estimates and 95% uncertainty intervals for suicide mortality and YLLs were extracted from the Global Burden of Diseases Study 2021. Joinpoint analysis was used to calculate the annual percentage change (APC) and average annual percentage change (AAPC) to describe the mortality and rate of YLLs trends. Age, period and cohort model was utilized to disentangle age, period and birth cohort effects on suicide mortality trends.

Globally, suicide mortality and the rate of YLLs among adolescents and young adults both declined from 1990 to 2021 (AAPC: −1.6 [−2.1 to −1.2]). In 2021, the global number of suicide death cases was 112.9 thousand [103.9–122.2 thousand] and led to 7.9 million [7.2–8.6 million] YLLs. A significant reduction in suicide mortality was observed in all sexes and age groups. By SDI quintiles, the high SDI region (AAPC: −0.3 [−0.6 to 0.0]) had the slowest decline trend, and low-middle SDI region remained the highest suicide mortality till 2021 (7.8 per 100,000 population [6.9–8.6]). Most SDI regions showed generally lower period and cohort effects during the study period, whereas high SDI region showed more unfavourable risks, especially period and cohort effects in females. Regionally, Central Latin America (AAPC: 1.7 [1.1–2.3]), Tropical Latin America (AAPC: 1.5 [0.9–2.0]), High-income Asia Pacific (AAPC: 1.2 [0.7–1.7]) and Southern sub-Saharan Africa (AAPC: 0.8 [0.4–1.2]) had the significance increase in suicide mortality. In 2021, Southern sub-Saharan Africa had the highest mortality (10.5 per 100,000 population [8.6–12.5]). Nationally, a total of 29 countries had a significant upward trend in suicide mortality and rate of YLLs over the past three decades, and certain countries in low-middle and middle regions exhibited an extremely higher burden of suicide.

Global suicide mortality and the rate of YLLs among adolescents and young adults both declined from 1990 to 2021, but obvious variability was observed across regions and countries. Earlier mental health education and targeted management are urgently required for adolescents and young adults in certain areas.

This study aimed to analyse the spatial and temporal patterns of disease burden attributed to high BMI (DB-hBMI) from 1990 to 2019 in Belt and Road Initiative (BRI) countries, in light of increasing hBMI prevalence worldwide.

The study was a secondary analysis of Global Burden of Disease 2019 (GBD 2019) that analysed (using Joinpoint regression analysis) numbers and the age-standardised rate of mortality and disability-adjusted life years (DALY) of hBMI-induced diseases and their trends from 1990 to 2019 and in the final decade.

GBD 2019 study data for BRI countries were categorised by country, age, gender and disease.

GBD 2019 data were used to analyse DB-hBMI in BRI countries.

In 2019, China, India and Russia reported the highest mortality and DALY among BRI countries. From 1990 to 2019, the age-standardised DALY increased in Southeast Asia and South Asia, whereas many European countries saw declines. Notably, Bangladesh, Nepal and Vietnam showed the steepest increases, with average annual percentage change (AAPC) values of 4·42 %, 4·19 % and 4·28 %, respectively (all P < 0·05). In contrast, Israel, Slovenia and Poland experienced significant reductions, with AAPC values of –1·70 %, –1·63 % and –1·58 %, respectively (all P < 0·05). The most rapid increases among males were seen in Vietnam, Nepal and Bangladesh, while Jordan, Poland and Slovenia recorded the fastest declines among females. Across most BRI countries, the burden of diabetes and kidney diseases related to hBMI showed a significant uptrend.

DB-hBMI varies significantly by region, age, gender and disease type across BRI countries. It can pose a substantial threat to public health.

Microstates of an electroencephalogram (EEG) are canonical voltage topographies that remain quasi-stable for 90 ms, serving as the foundational elements of brain dynamics. Different changes in EEG microstates can be observed in psychiatric disorders like schizophrenia (SCZ), major depressive disorder (MDD), and bipolar disorder (BD). However, the similarities and disparatenesses in whole-brain dynamics on a subsecond timescale among individuals diagnosed with SCZ, BD, and MDD are unclear.

This study included 1112 participants (380 individuals diagnosed with SCZ, 330 with BD, 212 with MDD, and 190 demographically matched healthy controls [HCs]). We assembled resting-state EEG data and completed a microstate analysis of all participants using a cross-sectional design.

Our research indicates that SCZ, BD, and MDD exhibit distinct patterns of transition among the four EEG microstate states (A, B, C, and D). The analysis of transition probabilities showed a higher frequency of switching from microstates A to B and from B to A in each patient group compared to the HC group, and less frequent transitions from microstates A to C and from C to A in the SCZ and MDD groups compared to the HC group. And the probability of the microstate switching from C to D and D to C in the SCZ group significantly increased compared to those in the patient and HC groups.

Our findings provide crucial insights into the abnormalities involved in distributing neural assets and enabling proper transitions between different microstates in patients with major psychiatric disorders.

Chinese nurses working with immense stress may have issues with burnout during COVID-19 regular prevention and control. There were a few studies investigating status of burnout and associated factors among Chinese nurses. However, the relationships remained unclear.

To investigate status and associated factors of nurses’ burnout during COVID-19 regular prevention and control.

784 nurses completed questionnaires including demographics, Generalized Anxiety Disorder-7, Patient Health Questionnaire-9, Insomnia Severity Index, Impact of Event Scale-revised, Perceived Social Support Scale, Connor–Davidson Resilience Scale, General Self-efficacy Scale and Maslach Burnout Inventory.

310 (39.5%), 393 (50.1%) and 576 (73.5%) of respondents were at high risk of emotional exhaustion (EE), depersonalization (DP) and reduced personal accomplishment (PA). The risk of EE, DP and reduced PA were moderate, high and high. Nurses with intermediate and senior professional rank and title and worked >40 h every week had lower scores in EE. Those worked in low-risk department reported lower scores in PA. Anxiety, post-traumatic stress disorder (PTSD), self-efficacy and social support were influencing factors of EE and DP, while social support and resilience were associated factors of PA.

Chinese nurses’ burnout during COVID-19 regular prevention and control was serious. Professional rank and title, working unit, weekly working hours, anxiety, PTSD, self-efficacy, social support and resilience were associated factors of burnout.

The prevalence of non-suicidal self-injury (NSSI) among adolescents underscores the importance of understanding the complex factors that drive this behaviour. Framed within broader constructs of emotional regulation theories, alexithymia and peer victimisation are thought to interact to influence NSSI behaviours.

This research addresses whether alexithymia and peer victimisation serve as risk factors for NSSI and, if so, how these factors interact with each other.

This quantitative study analysed data from 605 adolescents, using a range of validated self-report measures including the Toronto Alexithymia Scale. Statistical analyses including one-way analysis of variance, multiple regression and structural equation modelling were employed to scrutinise the relationships among the variables.

Alexithymia and peer victimisation significantly predicted NSSI behaviours. Specifically, the ‘difficulty in identifying feelings’ subscale of alexithymia emerged as a noteworthy predictor of NSSI (P < 0.001). Peer victimisation mediated the relationship between alexithymia and NSSI, explaining approximately 24.50% of alexithymia's total effect on NSSI. In addition, age was a significant predictor of NSSI, but gender and education years were not (P > 0.05). These relationships were found to be invariant across genders.

This study enriches our understanding of the interplay between alexithymia, peer victimisation and NSSI, particularly within the Chinese context. Its findings have significant implications for a rethinking of alexithymia's theoretical construct and interventions targeting emotional literacy and peer dynamics among adolescents. Future research could benefit from a longitudinal design to establish causality.

Antidepressants are one of the main treatment approaches for depression, and previous evidence suggests that consideration of patient preferences can improve their adherence to medication regimens. The objective was, therefore, to evaluate the preferences of depressed and depression-prone groups in China with respect to antidepressant medications.

An online survey with best-worst scaling choices was administered in depressed and depression-prone patients. The balanced independent block design generated 13 choice task profiles for each participant to answer, with each choice set consisting of four alternatives out of 13 antidepressant-specific attributes. Count analysis and a conditional logit model were used to estimate the relative importance of the 13 attributes and preference heterogeneity.

The analytical sample included 210 participants, comprising 49 individuals who had previous experience with depression and 161 who were depression prone. Participants in both groups preferred medications with a low risk of liver or kidney damage, headache or dizziness, and recurrence. There were significant differences in both groups regarding out-of-pocket costs and duration of medication. The K-means clustering further proved preference heterogeneity among the patients.

Our study revealed patient preferences for antidepressant medication choices in China. Healthcare decision makers should consider and discuss patient preferences in the treatment decision-making process to improve patient adherence to and satisfaction with medications, and to ultimately improve patient outcomes.

This study aimed to compare changes in the level of health technology assessment (HTA) development from 2016 to 2021, and to inform policies and decisions to promote further development of HTA in China.

We conducted a cross-sectional and anonymous web-based survey to relevant stakeholders in China in 2016 and 2021 respectively. The mapping of the HTA instrument was used to reflect the HTA development from eight domains. To reduce the influence of confounders and to compare the mapping outcomes between 2016 and 2021 groups, we performed 1:1 propensity score matching methodology in this study. Univariate analysis was performed to compare the differences in these two groups. We also compared the overall results with that of a mapping study that included ten countries.

A total of 212 and 255 respondents completed the survey in 2016 and 2021 respectively. After propensity score matching methodology, 183 cases from the 2016 group and 2021 group were matched. Overall, the mean score of 2021 in most of the domains was higher than in 2016 in China (p < 0.05), matching the level of HTA institutionalization and dissemination strategy, except for the assessment domain. Although China scored significantly lower among the three developed countries, the overall HTA development score for China was comparable among the ten countries.

Our study suggested the level of HTA development in China has made great progress from 2016 to 2021. Prior to HTA activities, the researcher or policy makers should first formulate an explicit assessment goal and scope, and during the assessment process, more attention should be paid to the clinical effectiveness and cost-effectiveness indicator to ensure a higher quality of HTA evidence.

With the rapid development of innovative health technologies, evidence increasingly shows that overdiagnosis is harmful to a person’s health and that it is a global public health issue. This study aimed to analyze the current research status and corresponding foci in the field of overdiagnosis in Chinese and English databases using bibliometric methods.

A search was conducted in the English Web of Science Core Collection database and the Chinese China National Knowledge Infrastructure database for literature published from inception to 31 December 2021. CiteSpace (version 5.8 R1) software was used to perform bibliometric analysis on the countries, institutions, and keyword clusters of the included literature on overdiagnosis and to draw a corresponding visual knowledge map.

A total of 2,841 English and 43 Chinese publications were included. There was an increasing trend in the annual publication volume of both Chinese and English literature, with the publication volume of English research increasing significantly since 2010. In terms of countries and institutions, the top ten in English research on overdiagnosis were all from high income countries. The cooperation among these countries and institutions was close, unlike in China where the cooperation was relatively limited. Analysis of keyword clustering showed that the potential research foci for English literature on overdiagnosis included breast cancer, thyroid cancer, prostate cancer, lung cancer, and other tumor types, whereas the clustering in Chinese records was relatively scattered and mainly focused on overdiagnosis of thyroid cancer.

The research topics in the Chinese literature on overdiagnosis lag significantly behind English research. It is suggested that more research on overdiagnosis and related fields should be actively promoted and conducted in China in the future.

Obsessive-compulsive disorder (OCD) is a chronic mental illness characterized by abnormal functional connectivity among distributed brain regions. Previous studies have primarily focused on undirected functional connectivity and rarely reported from network perspective.

To better understand between or within-network connectivities of OCD, effective connectivity (EC) of a large-scale network is assessed by spectral dynamic causal modeling with eight key regions of interests from default mode (DMN), salience (SN), frontoparietal (FPN) and cerebellum networks, based on large sample size including 100 OCD patients and 120 healthy controls (HCs). Parametric empirical Bayes (PEB) framework was used to identify the difference between the two groups. We further analyzed the relationship between connections and Yale-Brown Obsessive Compulsive Scale (Y-BOCS).

OCD and HCs shared some similarities of inter- and intra-network patterns in the resting state. Relative to HCs, patients showed increased ECs from left anterior insula (LAI) to medial prefrontal cortex, right anterior insula (RAI) to left dorsolateral prefrontal cortex (L-DLPFC), right dorsolateral prefrontal cortex (R-DLPFC) to cerebellum anterior lobe (CA), CA to posterior cingulate cortex (PCC) and to anterior cingulate cortex (ACC). Moreover, weaker from LAI to L-DLPFC, RAI to ACC, and the self-connection of R-DLPFC. Connections from ACC to CA and from L-DLPFC to PCC were positively correlated with compulsion and obsession scores (r = 0.209, p = 0.037; r = 0.199, p = 0.047, uncorrected).

Our study revealed dysregulation among DMN, SN, FPN, and cerebellum in OCD, emphasizing the role of these four networks in achieving top-down control for goal-directed behavior. There existed a top-down disruption among these networks, constituting the pathophysiological and clinical basis.