To investigate the incidence of adverse reactions of recombinant zoster vaccine (RZV) in people≥50 years, and to provide reference for RZV vaccination.

The data of 523 patients who received RZV in the outpatient department of Guizhou Center for Disease Control and Prevention from September 2021 to September 2023 were analyzed.

A total of 523 patients were inoculated with the RZV and the overall incidence of adverse reactions was 50.10%. The incidence of adverse reactions was 63.22% in the 50-59 age group, 40.72% in the 60-69 group, and 26.47% in those aged ≥70 years. Among females and males, the incidence was 44.88% and 61.73%, respectively. The incidence was 61.27% in underweight individuals, 46.59% in those with normal weight, and 30.00% in those who were overweight or obese. Patients with a history of endocrine disease, cardiovascular disease, and shingles showed incidences of 70.83%, 63.72%, and 53.85%, respectively.

The incidence of adverse reactions following RZV vaccination in individuals ≥50 years in Guiyang is relatively low, and most adverse reactions are mild. The incidence rate is influenced by factors such as age, gender, weight, and the presence of underlying diseases. Post-vaccination monitoring and treatment following RZV administration should be tailored to each individual.

To understand the longitudinal association of adverse childhood experiences and self-control with mobile phone dependence among junior high school students, and to provide reference for the development of prevention and control measures.

Convenience sampling was used to select 863 junior high school students from 18 classes in 2 middle schools as the research subjects. The Childhood Adversity Questionnaire, Self-Control Scale, and Mobile Phone Dependence Index Scale were used as the survey tools. Two follow-up surveys were conducted in November 2023 (T1) and May 2024 (T2). SPSS 23.0 was used for independent sample t-tests, one-way ANOVA, paired sample t-tests, partial correlation analysis, and factor analysis. Mplus 8.3 software was used for cross-lagged analysis and mediation effect testing.

The partial correlation analysis revealed that both the adverse childhood experiences and self-control were statistically significantly correlated with the mobile phone dependence of junior high school students (r=-0.646-0.762, P<0.05). The cross-lagged model analysis indicated that the adverse childhood experiences at T1 could positively predict the mobile phone dependence at T2 (β=0.107, 95% CI: 0.050-0.164, P<0.05); the mediation model analysis showed that the mediating effect of the adverse childhood experiences on the influence of self-control on the mobile phone dependence of junior high school students was (β=0.019, 95% CI: 0.006-0.033, P<0.05).

Adverse childhood experiences could positively and indirectly affect mobile phone dependence through self-control among junior middle school students.

This study aimed to explore the associations between different physical activity (PA) patterns and depressive and anxiety symptoms, and to provide scientific evidence for health departments to formulate preventive strategies for depression and anxiety and refine PA guidelines.

Data from adults aged 18 years and above from the National Health and Nutrition Examination Survey (NHANES) database from 2007 to 2012 were used. PA data were obtained through the Global Physical Activity Questionnaire (GPAQ). Participants were divided into three groups based on the total time and frequency of Moderate-to-vigorous physical activity (MVPA): inactive (MVPA time≤150 min/week), weekend warrior (WW; MVPA time≥150 min/week, and MVPA frequency≤2 days/week) and regularly active (RA; MVPA time≥150 min/week, and MVPA frequency≥3 days/week). Depressive and anxiety symptoms were assessed by the Patient Health Questionnaire-9 and the Anxiety Self-Report Questionnaire, respectively. Multiple weighted logistic regression was used to explore the relationship between PA patterns and depressive and anxiety symptoms.

A total of 15 851 participants were included in this study, including 10 694 (67.5%) in the inactive, 1 006 (6.3%) in the WW, and 4 151 (26.2%) in the RA. Compared with the inactive, the WW and RA had a lower risk of depressive symptoms by 67.9% (OR=0.321, 95% CI: 0.205-0.502) and 49.1% (OR=0.509, 95% CI: 0.383-0.676), respectively.In terms of anxiety symptoms, compared with the group, RA was associated with a 17.2% lower risk of anxiety symptoms (OR=0.828, 95% CI: 0.719-0.954), while WW had no statistically significant lower risk of anxiety symptoms (OR=0.800, 95% CI:0.628-1.018). There was no statistical difference in the risk of depressive and anxiety symptoms between WW and RA (P>0.05).

This study demonstrates that both WW and RA, as long as they meet the PA guidelines (MVPA time≥150 min/week), can effectively reduce the risk of depressive symptoms in adults. For reducing the risk of anxiety symptoms, in addition to meeting the PA guidelines, it is also necessary to ensure PA for at least three days per week.

To construct a prediction model for metabolic syndrome (Metabolic Syndrome, MetS) in railway employees based on machine learning algorithms (Machine Learning, ML) and evaluate the prediction performance.

The time to the onset of metabolic syndrome was used as the outcome variable, with demographic characteristics and biochemical indicators as predictive variables. Univariate analysis was conducted to select predictive indicators. The study subjects were randomly divided into a training set and a test set in a 7:3 ratio. Cox proportional hazards regression, Random Forest (Random Survival Forest, RSF), and Gradient Boosting Machine (Gradient Boosting Machine, GBM) were used to build metabolic syndrome prediction models. Model performance was assessed using the area under the receiver operating characteristic curve (Area under curve, AUC), concordance index (C-index), sensitivity, specificity, accuracy, and F1 score. A risk calculator was created using the shiny package.

This study included 17 087 subjects and collected 28 indicators. Univariate analysis identified 22 statistically significant indicators. In the training set, the areas under the curve (area under the curve, AUC) of the prediction models constructed by Cox, RSF, and GBM were 0.870,0.938, and 0.891, respectively; C-index values were 0.853,0.935, and 0.843; sensitivity was 0.612,0.968, and 0.628; specificity was 0.933,0.742, and 0.994; accuracy was 0.678,0.788, and 0.703; F1 scores were 0.751,0.839, and 0.749.

The RSF model outperformed the Cox model and the GBM model in predicting metabolic syndrome among railway employees, providing a scientific basis for early identification of metabolic syndrome and aiding in the implementation of primary prevention measures.

Regarding the effect of alcohol intake on the risk of gout, existing studies have shown a diversity of conclusions. Therefore, we conducted Mendelian Randomization (MR) analysis to assess the causal association between various types of alcohol intake and the risk of gout.

Instrumental Variables (IVs) were obtained from Genome-Wide Association Study (GWAS) databases. We used the TwoSampleMR package in R to perform MR analysis with the Inverse Variance Weighting (IVW) method. The Cochran Q test was employed to assess heterogeneity, and the intercept and P-value from MR-Egger regression were used to test and adjust for horizontal pleiotropy. Sensitivity analysis was conducted using the Leave-One-Out (LOO) method.

The MR analysis revealed a significant positive causal association between Beer/Cider Intake and Gout (logOR=1.187, 95%CI: 0.033 - 2.340, P=0.044). A significant negative causal association was found between White Wine Intake and Gout (logOR=-0.878,95%CI: -1.626--0.131, P=0.021). Similarly, Red Wine Consumption showed a significant negative causal association with gout (logOR=-6.514, 95%CI: -10.678--2.350, P=0.002). Fortified Wine Intake demonstrated a significant positive causal association with Gout (logOR=2.045,95%CI:0.097-3.994, P=0.040). When all types of alcohol were considered as a whole, a significant negative causal association with gout was observed (logOR=-1.462, 95%CI:-2.801--0.123, P=0.032). Spirits showed pleiotropy in relation to gout (P<0.05) and were therefore not included in the analysis.

The MR analysis results indicate that Beer/Cider Intake and Fortified Wine Intake may be a risk factor for the development of gout; Whereas White Wine Intake and Red Wine Consumption may reduce the incidence of gout. When all types of alcohol were considered as a whole, their consumption may reduce the risk of gout.

To analyze the recurrence status and influencing factors of initially treated elderly tuberculosis patients after successful treatment in Kashgar region, and to provide a basis for preventing and controlling tuberculosis recurrence.

A total of 40 527 Patients aged 60 and above who were initially treated for tuberculosis and successfully treated in Kashgar from 2016 to 2022 were selected as the study subjects. Their recurrence rate up to the end of 2023 was analyzed. The Kaplan-Meier method was used for univariate analysis of recurrence influencing factors, the log-rank test was used for inter-group comparison, and the Cox proportional hazards regression model was used for multivariate analysis. Results Among the 40 527 study participants, 6 358 cases of recurrence were recorded by the end of 2023, with a total cumulative recurrence rate of 19.17%. The Cox proportional hazards regression model showed that male gender (aHR=1.176, 95%CI: 1.119-1.235), severe tuberculosis burden in the current residence (aHR=1.354, 95%CI: 1.234-1.486), positive sputum test result at initial diagnosis (aHR=1.831, 95%CI: 1.622-2.068), positive sputum test result at the end of the second month of initial treatment (aHR=2.230, 95%CI: 1.736-2.865), positive sputum culture result at initial diagnosis (aHR=1.533, 95%CI: 1.346-1.745), and a diagnosis and treatment delay of 30 days or more (aHR=1.126, 95%CI: 1.057-1.198) were independent risk factors for recurrence in initially treated elderly tuberculosis patients. In contrast, active case-finding (aHR=0.635, 95%CI: 0.600-0.672), a cured treatment outcome (aHR=0.655, 95%CI: 0.580-0.739), and puretuberculous pleurisy (aHR=0.206, 95%CI: 0.098-0.432) were protective factors against recurrence.

To reduce the recurrence of initially treated elderly tuberculosis, it is necessary to strengthen follow-up and management after treatment, implement targeted interventions for high-risk groups, and enhance public health education to promote early detection and standardized treatment.

To explore the influencing factors of occupational stress and their interrelationships among frontline workers in the secondary industry, so as to provide a reference basis for targeted intervention of occupational stress.

1 227 frontline workers in the secondary industry of Nanchong City were selected as study subjects by stratified random sampling. The Core Occupational stress and the Occupational Health Literacy Questionnaire of National Key Population were used to investigate occupational stress and occupational health literacy. SPSS 27.0 and R 4.1.2 were used to screen the influencing factors, Netica 7.01 constructed a Bayesian network model with inference and sensitivity analyses, and the area under the curve (AUC) assessed the model fit.

370(30.2%) were found to have occupational stress among frontline workers in the secondary industry in Nanchong City. LASSO regression analysis screened out 12 influencing factors, which were gender, marital status, health status, age, education, monthly income, exercise, occupational health literacy, enterprise size, nature of the enterprise, weekly working hours, and night shifts. The occupational stress Bayesian network model fit well (AUC=0.865), and backward inference yielded six key influences, ranked by sensitivity analysis: monthly income (57.9%), weekly working hours (55.4%), health status (52.6%), occupational health literacy (33.4%), enterprise size (20.4%), and exercise (15.5%).

The Bayesian network model constructed in this study has good prediction performance for occupational stress of frontline workers in secondary industry. It should focus on helping small and micro-enterprises, pay attention to low-income and poor health workers, and suggest rationalizing working hours, improving occupational health literacy, and strengthening physical exercise to prevent and control the occurrence of occupational stress.

To analyze the tobacco epidemic status among residents in Nanshan District, Shenzhen, evaluate the effectiveness of tobacco control, and propose improvement strategies.

A multistage sampling method was used to select 1 969 households across the district for home visits and surveys. Weighted data analysis was performed using R 4.3.3 software.

The current smoking rate among residents in Nanshan District, Shenzhen, was 13.56% (95%CI: 10.01%-17.72%), which was lower than the level of Shenzhen City in 2022 (19.07%), with males having a higher rate than females (, P<0.01). The current use rate of e-cigarettes was 1.98%, with the age range concentrated between 25 and 44 years old, and the rate in males was higher than that in females (, P<0.05). The smoking cessation rate was 19.52% (95%CI: 11.69%-29.37%). The smoking cessation attempt rate was 55.01% (95%CI: 41.57%-67.98%). The main quitting method was dry quitting, 22.09% (95%CI: 14.66%-30.96%). The exposure rate to second-hand smoke was 57.17% (95%CI: 49.89%-64.25%). Among places with second-hand smoke exposure, the exposure rate in restaurants was the highest (33.23%) (95%CI: 28.46%-38.25%). In terms of awareness of the harms of smoking, 32.73% knew that smoking can cause impotence, and only 28.38% were aware of all four diseases (stroke, heart disease, lung cancer, and impotence) caused by smoking. The awareness rate of all three diseases (adult heart disease, children’s lung diseases, and adult lung cancer) caused by second-hand smoke exposure was 43.62%.

The smoking rate among residents in Nanshan District, Shenzhen City has been effectively controlled, but challenges persist, including youth-oriented e-cigarette use, severe second-hand smoke exposure, and insufficient awareness of tobacco-related harms. Strengthening enforcement of smoking bans in public spaces, improving smoking cessation services, and enhancing targeted health education are urgently needed.

To investigate the knowledge, attitudes, and clinical practices of healthcare workers in the palliative care pilot area of Neijiang, Sichuan, regarding the concepts, functions, and goals of palliative care, and to provide evidence for developing a primary palliative care service model.

Seventy-two healthcare workers from six medical institutions in Neijiang’s pilot area were surveyed using a self-designed questionnaire validated by experts. The survey covered demographic characteristics, knowledge, attitudes, and clinical practices. Data were analyzed using SPSS 16.0 with descriptive statistics.

Participants were predominantly female (79.17%), with college degrees (54.17%) and junior titles (54.17%). Knowledge: 81.94% confused palliative care with hospice care, and only 4.17% recognized its focus on symptom control and social care; over 60% misunderstood service functions, with low awareness of morphine use (23.61% correct) and pain assessment (31.94% correct). Attitudes: 70% acknowledged the value of palliative care, with 44% citing stress from end-of-life care. Practices: Pain management (40.79%), patient/family communication (41.67%), institutional referrals (40.28% occasional), and death education (38.89% occasional) were inadequately performed.

Healthcare workers in Neijiang’s pilot area lack clear understanding and professional skills in palliative care, showing deficiencies in knowledge, implementation, and service delivery. Misconceptions and skill gaps hinder service development, necessitating enhanced training and model optimization.

To explore whether the number of somatic pain sites serves as a mediator between the number of chronic conditions and depressive symptoms in older adults.

Based on data from the 2020 wave of the China Health and Retirement Longitudinal Study (CHARLS), 8 363 participants aged 60 and above were analyzed. The mediating role between variables was examined using Model 4 of the PROCESS 4.0 macro, and the Bootstrap method was applied for validation.

The prevalence of depressive symptoms among older adults reached 41.02%. An increase in both chronic disease count and pain site number was significantly associated with higher levels of depressive symptoms. (r₁=0.284, r₂=0.350, both P<0.001). A positive correlation was also observed between the number of chronic diseases and the number of pain sites (r₃=0.381, P<0.001).The mediation analysis results indicate that the number of pain sites (effect size=0.15, Bootstrap 95%CI: 0.13-0.18) mediated the relationship between the number of chronic diseases and depressive symptoms.

Both the number of chronic diseases and the number of pain sites are important factors influencing depressive symptoms in the elderly, with the number of pain sites playing a partial mediating role between the two. It is recommended to strengthen pain management in the elderly, regularly assess pain status, provide personalized interventions, and incorporate psychological support to enhance the quality of life and promote mental health in elderly individuals.