To investigate the prevalence of anxiety symptoms and its influencing factors among young medical workers in Beijing, thus providing an evidence-based basis for caring for young medical workers.

From September to October 2023, an online survey was conducted among young medical workers aged 45 and below in Beijing health system. The 7-item Generalized Anxiety Disorder Scale (GAD-7) was used to assess anxiety symptoms. Chi-square test was conducted to compare the prevalence of anxiety symptoms across respondents with different characteristics, and binary logistic regression was employed to predict the influencing factors.

A total of 25 604 questionnaires were distributed, and 23 379 valid questionnaires were recovered. The prevalence of moderate and above anxiety symptoms among young medical workers was 15.30%. The occurrence of anxiety symptoms vaied among respondents with different genders, ages, working years, educational backgrounds, marital statuses, numbers of children, housing conditions, employment forms, administrative positions, annual incomes, and professional titles (P < 0.05). Binary logistic regression showed that age of 30–34 years (OR = 1.27, 95%CI: 1.16–1.39), age of 35–45 years (OR = 1.43, 95%CI: 1.27–1.61), working years of 10 to 14 (OR = 1.25, 95%CI: 1.15–1.37), working years ≥ 15 (OR = 1.47, 95%CI: 1.30–1.65), one child (OR = 0.89, 95%CI: 0.81–0.97), number of children ≥ 2 (OR = 0.90, 95%CI: 0.81–1.00), renting (OR = 1.33, 95%CI: 1.25–1.41), working in public health institutions (OR = 1.33, 95%CI: 1.03–1.71), and annual income of 100 000–200 000 CNY (OR=1.12, 95%CI: 1.05–1.19) were independent influencing factors for anxiety symptoms.

The risk of anxiety symptoms among young medical workers should not be ignored, and multiple measures should be taken to care for young medical workers.

To investigate the prevalence of occupational stress among ride-hailing drivers in a megacity and analyze its influencing factors.

From June 2024 to November 2024, a cross-sectional study and convenience sampling were conducted to investigate the occupational stress of ride-hailing drivers in a megacity. A total of 2 687 self-administered questionnaires were ultimately included in the statistical analysis. Binary logistic regression was adopted to analyze the factors influencing occupational stress.

The overall prevalence of occupational stress remained at 53.96% in the megacity, being higher in males (54.38%) than in females (44.04%) (χ² = 4.51, P = 0.034). The comparison between different age groups showed that the prevalence of occupational stress in the group of 35–44 years old was the highest (59.09%). The factors associated with an increased risk of occupational stress among male participants included age of 35–44 years old (OR = 1.42, 95%CI: 1.06–1.90, P = 0.001), inadequate rest (OR = 1.52, 95%CI: 1.28–1.81, P < 0.001), not consuming fresh vegetables daily (OR=1.38, 95%CI: 1.09–1.75, P = 0.007), daily consumption of sugar-sweetened beverages (OR = 1.22, 95%CI: 1.03–1.45, P = 0.021), and daily consumption of milk or yogurt (OR = 1.31, 95%CI: 1.10–1.56, P = 0.002). The factor associated with a decreased risk of occupational stress among males was consuming ≥ 3 meals per day (OR = 0.61, 95%CI: 0.39–0.95, P = 0.002). The factors associated with an increased risk of occupational stress among female participants were daily tea consumption (OR = 2.29, 95%CI: 1.002–5.23, P = 0.049) and not consuming fresh vegetables daily (OR = 4.56, 95%CI: 1.41–14.72, P = 0.011).

The prevalence of occupational stress among ride-hailing drivers is high, and its influencing factor are age of 35–44 years, inadequate rest, and dietary habits. Preventive measures targeting occupational stress in this population should be implemented.

To analyze the depressive symptoms, anxiety symptoms, and comorbidities among the elderly in Jiangsu province and their influencing factors, thus providing data support for the prevention and control of depression and anxiety in the elderly.

The data from the Elderly Psychological Care Action Project that was carried out in Jiangsu province from 2022 to 2024 were used, a total of 67 817 elderly people aged 65 and above were included in the analysis. Binary logistic regression and unordered multinomial logistic regression models were used to analyze the influencing factors of depressive symptoms, anxiety symptoms, and comorbidities.

The detection rates of depressive symptoms, anxiety symptoms, and comorbid depressive and anxiety symptoms among elderly people aged 65 and above in Jiangsu province were 5.1%, 2.7%, and 2.1%, respectively. Binary logistic regression and unordered multinomial logistic regression analyses showed that the risks of depression, anxiety, and comorbidities in female elderly people were 1.206, 1.211, and 1.189 times that in male elderly people, respectively. The risks of depression, anxiety, and comorbidities in elderly people aged 85 and above were 1.313, 1.389, and 1.508 times that of those aged 65–69, respectively. The risks of depression, anxiety, and comorbidities in elderly people with chronic diseases were 2.217, 2.079, and 2.242 times that of those without chronic diseases, respectively. The risks of depression, anxiety, and comorbidities in elderly people with 1–5 years of education were 0.689, 0.594, and 0.528 times that of those with no education, respectively. The risks of depression, anxiety, and comorbidities in elderly people with 6–10 years of education were 0.856, 0.619, and 0.587 times that of those with no education, respectively. The risks of depression, anxiety, and comorbidities in elderly people satisfied with their relationship with their children were 0.742, 0.500, and 0.573 times that of those without children, respectively. The risks of depression and comorbidities in elderly people dissatisfied with their relationship with their children were 1.797 and 1.707 times that of those without children, respectively. The risks of anxiety and comorbidities in unmarried elderly people were 2.013 and 1.915 times that of married elderly people, respectively. The risks of anxiety and comorbidities in elderly people dissatisfied with their relationship with their spouse were 2.931 and 2.874 times that of those without a spouse, respectively. The risks of anxiety and comorbidities in elderly people with poor relationships with friends were 1.891 and 1.851 times that of those without friends, respectively. The risks of depression, anxiety, and comorbidities in elderly people who regularly participated in elderly activities were 0.649, 0.630, and 0.633 times that of those who did not participate, respectively. The risks of depression, anxiety, and comorbidities in elderly people with negative attitudes towards aging were 1.363, 1.277, and 1.365 times that of those who did not have a clear attitude, respectively. The risks of depression, anxiety, and comorbidities in elderly people with positive attitudes towards aging were 0.470, 0.408, and 0.349 times that of those who did not have a clear attitude, respectively. The risks of depression, anxiety, and comorbidities in elderly people with poor psychological resilience were 2.345, 2.138, and 2.482 times that of those with good psychological resilience, respectively. The risks of depression, anxiety, and comorbidities in elderly people satisfied with their overall life were 0.186, 0.154, and 0.119 times that of those dissatisfied, respectively. The risks of depression, anxiety, and comorbidities in elderly people engaged in various non-paid work in daily life were higher than those engaged in paid work (all P<0.05).

The detection rates of depressive and anxiety symptoms among elderly people aged 65 and above in Jiangsu province are relatively low. Gender, age, marital status, educational background, chronic diseases status, the relationships with relatives and friends, the main daily work, participation in elderly activities, attitude towards aging, psychological resilience, and overall satisfaction with current life are influencing factors for depressive symptoms, anxiety symptoms, and comorbidities in the elderly.

To investigate fertility anxiety and influencing factors among Chinese residents aged 18–25 years.

Data from 17 771 individuals in this age group were obtained from the 2023 Chinese Psychology and Behavior Investigation. The survey was administered in 800 communities and villages across 150 cities nationwide. Participants completed several questionnaires, including the General Information Questionnaire, the Patient Health Questionnaire-9 (PHQ-9), the Generalized Anxiety Disorder-7 (GAD-7), the Family Health Scale (FHS), the Body Image Acceptance and Action Questionnaire (BI-AAQ), and the Perceived Social Support Scale-Short Form (PSSS-SF).

The average self-rated fertility anxiety score for all participants was 51.65 ± 33.65. Multiple linear regression analyses, stratified by gender and marital status, revealed that fertility anxiety was influenced by the following factors among subgroups: average monthly family income (β = 0.031), smoking (β = –0.027), overall family health (β = –0.046), and anxiety (β = 0.063) for males and ethnicity (β = –0.022), education (β = 0.028), and depression (β = 0.064) for females. For unmarried individuals, the influencing factors were gender (β = 0.124), education (β = 0.022), body mass index (BMI) (β = –0.027), overall family health (β = –0.023), and social support (β = –0.018). For unmarried individuals, the influencing factors were gender (β = 0.124), education (β = 0.022), BMI (β = –0.027), overall family health (β = –0.023), social support (β = –0.018), depression level (β = 0.047), health status (β = 0.030), and smoking (β = –0.016). For married individuals, the influencing factors were ethnicity (β = 0.113) and total body flexibility score (β = –0.225). All factors were statistically significant (P < 0.05).

Fertility anxiety among individuals aged 18–25 is influenced by demographic, psychological, and social factors. Key determinants include family income (males), depression (females), education/social support (unmarried), and ethnicity/body image flexibility (married).

To investigate the influence of different dimensions of health literacy on different stages of suicidal behavior among junior high school students and the gender differences, so as to provide a reference for the prevention and control of suicidal behavior.

From May to June 2023, a multi-stage stratified cluster sampling method was used to select 7 360 junior high school students from three districts and counties in Chongqing city to conduct a survey on health literacy and suicidal behavior. Chi-square test, t-test, F-test, binary logistic regression, and multiple logistic regression were used for statistical analysis.

The reported rate of suicidal behavior among junior high school students in Chongqing city was 15.48%, with girls (18.66%) higher than boys (12.19%) (P < 0.01). The functional (154.19 ± 20.25), interactive (53.75 ± 9.22), and critical (42.00 ± 6.93) health literacy scores of students with positive suicidal behavior were all lower than those of students with negative suicidal behavior (156.60 ± 21.41), (56.26 ± 9.75), and (42.63 ± 7.10), respectively (all P < 0.01). Binary logistic regression analysis showed that interactive health literacy (OR = 0.98, 95%CI: 0.97–0.99) and critical health literacy (OR = 1.02, 95%CI: 1.00–1.03) were associated with suicidal behavior. Multiple logistic regression analysis showed that interactive health literacy was associated with suicidal ideation (OR = 0.98, 95%CI: 0.97–0.99) and suicide plan (OR = 0.96, 95%CI: 0.95–0.98), while critical health literacy was only associated with suicide plan (OR = 1.03, 95%CI: 1.00–1.06). Stratified analysis showed that interactive health literacy was significantly associated with suicidal ideation only in males (OR = 0.97, 95%CI: 0.95–0.98).

Interactive health literacy is a influencing factor for suicidal ideation and suicide plan among junior high school students in Chongqing city, and there are gender differences.

To evaluate the effects of different interventions on the mental health of Chinese college students.

We searched the China National Knowledge Infrastructure (CNKI), VIP, and Wanfang databases for randomized controlled trials (RCTs) of mental health interventions among Chinese college students from inception until July 1, 2024. We assessed the quality of the studies using the Cochrane Risk of Bias Tool 2 (RoB 2) and analyzed the data using Stata 17.0.

Sixty-three RCTs (n = 7 240 participants) were included. The pooled Hedges′g was –0.718 (95%confidence interval [CI]: –0.960 to –0.476), indicating a significant improvement. Subgroup analyses revealed significant effects for group counseling (standardized mean difference [SMD] = –0.907, 95%CI: –1.571 to –0.243), exercise (SMD = –0.937, 95%CI: –1.246 to –0.628), and comprehensive interventions (SMD = –0.850, 95%CI: –1.019 to –0.682). Significant improvements in depression were observed with art interventions (SMD = –2.320, 95%CI: –4.317 to –0.323) and comprehensive interventions (SMD = –1.042, 95%CI: –1.461 to –0.624). Significant effects on anxiety were found with group counseling (SMD = –1.216, 95%CI: –1.656 to –0.777) and art interventions (SMD = –2.874, 95%CI: –5.624 to –0.124).

Group counseling, exercise, art, and comprehensive interventions can significantly improve mental health outcomes in college students, including conditions such as depression and anxiety. Universities should adopt targeted interventions based on students′ needs to provide timely and effective mental health support.

To analyze the policy texts of vaccine clinical trials in China and identify the characteristics, issues, and directions for improvement in the quality management.

Seventeen policy documents issued at the central level between January 2001 and December 2024 were obtained through a systematic search of the official websites of the State Council and relevant ministries. A three-dimensional analytical framework consisting of tools, elements, and strength was developed, integrating content analysis and the Latent Dirichlet Allocation (LDA) topic model to uncover the latent thematic structures within these policy texts.

The findings indicated a significant imbalance in the deployment of policy tools for vaccine clinical trials. The utilization of inducements (1.23%, 2 codes), symbolic and hortatory tools (3.09%, 5 codes), capacity-building tools (7.41%, 12 codes), and system-changing tools (9.89%, 16 codes) remained insufficient. Furthermore, the distribution of policy elements was uneven, with limited emphases on clinical trial design (4.94%, 8 codes), trial participants (3.09%, 5 codes), and trial contents (6.17%, 10 codes). Policy intensity also exhibited substantial disparities, lacking synergy and alignment among policy elements, tools, and intensity. The overall thematic coordination of the policies was effective, jointly contributing to the improvement of the vaccine trial regulatory system.

In the future, efforts should be made to enhance the balanced utilization of policy tools, optimize policy structures, prioritize vaccine clinical trial design, and adopt diverse and flexible design methodologies, thus improving the scientific rigor and practical applicability of vaccine trials.

To investigate the willingness to participate in vaccine clinical trials among permanent residents aged 18 years and older in Zhoushan city, Zhejiang province, and to analyze its influencing factors, so as to provide a reference for further improving residents' willingness to participate in vaccine clinical trials.

From August to November 2024, 623 permanent residents aged 18 years and older were selected from two counties (districts) in Zhoushan city using a convenience sampling method. A questionnaire survey was conducted to collect information on socio-demographics, awareness of vaccine clinical trials, willingness to participate, and motivations. The willingness rate was calculated with the direct standardization method. Non-parametric tests were taken to analyze data between groups, and ordered logistic regression models were used to analyze the influencing factors of willingness to participate in vaccine clinical trials.

A total of 623 valid questionnaires were included. Eighty-one participants (13.00%) were willing to participate, 336 (53.93%) were conditionally willing to participate, and 206 (33.07%) were unwilling to participate. The standardized rate of willingness or conditional willingness to participate was 64.56%. Statistical differences were found between groups based on gender (Z = –2.883), occupation (Z = –2.282), awareness of vaccine clinical trials (Z = –5.731), and previous experience as a clinical trial participant (Z = –3.683) (all P < 0.05). Age group was correlated with willingness to participate (Rs = 0.092, P < 0.05). Ordered logistic regression analysis showed that gender, age, awareness, and previous experience as a clinical trial participant were influencing factors for willingness to participate in vaccine clinical trials.

Male gender, age ≥ 60 years, low awareness, and lack of experience in clinical trials were associated with lower willingness to participate. It is recommended to objectively guide potential participants while improving their awareness, strengthen and improve the participant protection mechanism, and appropriately highlight altruistic motives to increase the actual enrollment rate.