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 investigate the prevalence and influencing factors of cardiometabolic multimorbidity (CMM) among middle-aged and elderly populations in Xizang, and to develop a nomogram prediction model for assessing CMM risk, thereby providing evidence-based references for disease prevention and control strategies.

Utilizing data from the Xizang survey site of the Southwest China Natural Population Cohort Study, a total of 3 012 participants were included for statistical analysis. Chi-square tests and multivariate logistic regression were employed to identify determinants of CMM, followed by construction of a nomogram prediction model. The model’s performance was validated through Hosmer-Lemeshow goodness-of-fit testing and calibration curve analysis.

Among 3 012 participants, the prevalence of cardiometabolic multimorbidity (CMM) was 25.1%. Multivariable logistic regression analysis identified the following independent risk factors: advanced age (≥65 years: OR=2.484, 95%CI：1.967-3.138), male gender (OR=1.636, 95%CI：1.363-1.963), nocturnal sleep duration <7 hours (OR=1.527, 95%CI：1.101-2.118), frequent snoring (OR=1.392, 95%CI：1.095-1.769), poor self-rated health (OR=2.141, 95%CI：1.606-2.853), BMI ≥28 kg/m² (OR=1.993, 95%CI：1.498-2.651), and central obesity (OR=1.674, 95%CI: 1.345-2.083). The model demonstrated satisfactory goodness-of-fit (Hosmer-Lemeshow χ²=2.430, P=0.965) with calibration curve analysis showing excellent agreement between predicted and observed probabilities.

Preventive strategies should prioritize middle-aged and elderly individuals with the identified risk profiles: advanced age (≥65 years), male gender, nocturnal sleep deprivation (<7 hours), frequent snoring, suboptimal self-rated health, overweight/obesity, and central obesity. The nomogram model developed based on these influencing factors demonstrates certain predictive value for assessing CMM risk in middle-aged and elderly populations in Xizang.

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 mediating effect of the number of chronic diseases and nighttime sleep duration on the relationship between somatic pain and depression in older adults, so as to provide reference for the improvement of older adults’ mental health.

Data from the China Health and Aged Care Tracking Survey (CHARLS) 2020 were used to explore the correlation between somatic pain, the number of chronic diseases, the number of hours of sleep at night, and depression among older adults by using Spearman’s rank correlation analysis, and the chain mediation effect was analyzed by using the Bootstrap method in the Process 4.1 program of SPSS.

A total of 4 109 study participants were included in this study, in which the depression detection rate was 46.90% and pain prevalence was 64.37%. The direct effect of somatic pain on depression was significant (β=0.480, 95%CI:0.429 to 0.532), the separate mediated effect of the number of chronic disease prevalence was significant (β=0.042,95%CI:0.030 to 0.056), and the separate mediated effect of the length of nocturnal sleep was significant (β=0.054, 95%CI:0.042 to 0.067). The chain-mediated effect of the number of chronic diseases and nighttime sleep duration was significant (β=0.002, 95%CI:0.001 to 0.004).

The number of chronic diseases and hours of nighttime sleep mediated the separate and chain-mediated effects between somatic pain and depression in older adults. Therefore, it is recommended to improve the geriatric health policy, incorporate geriatric pain assessment and management into the scope of basic public health services, focus on chronic disease management and sleep regulation in older adults, and realize the forward movement of depression prevention.

To analyze the epidemiological characteristics and incidence trend of respiratory infectious diseases in children aged 0-14 years in Lanzhou City, and provide reference for scientific prevention and control of children’s infectious diseases.

The surveillance data of respiratory infectious diseases in children aged 0-14 years in Lanzhou from 2014 to 2023 were collected through the China Disease Control and Prevention Information System. Descriptive epidemiological methods and Joinpoint regression model were used to analyze the epidemiological characteristics and incidence trends of respiratory infectious diseases.

A total of 40 347 cases of 9 kinds of respiratory infectious diseases in children aged 0-14 years were reported in Lanzhou from 2014 to 2023, resulting in an average annual reported incidence rate of 743.60 per 100 000. The overall reported incidence rate showed an upward trend (APC=AAPC=14.576 6%, P<0.05).The incidence rate of the disease among male children was 811.70 /100 000, while the incidence rate among female children was 656.74 /100 000, indicating that the rate in male children was significantly higher (χ²=443.64, P<0.001). Among different populations, the number of reported cases was highest among students, totaling 21 043 cases (accounting for 52.40%). The incidence of respiratory infectious diseases had a seasonal pattern in children aged 0-14 years in Lanzhou. The peak of incidence was from November to December (12 031 cases, accounting for 30.2%), followed by May to June (8 113 cases, accounting for 20.36%) and March (4 556 cases, accounting for 11.46%). Except for COVID-19 infection, the top five reported cases were chickenpox (298.94/100 000), influenza (261.34/100 000), mumps (93.99/100 000), scarlet fever (70.7/100 000) and measles (5.99/100 000). The influenza (11 897 cases, accounting for 38.80%) ranked the first in urban area, and chickenpox (4 964 cases, accounting for 54.90%) ranked the first in county (district), the difference was statistically significant (χ²=1 034.46, P<0.05).

The overall incidence of respiratory infectious diseases showed an upward trend, and the incidence had obvious seasonal characteristics in children aged 0-14 years in Lanzhou from 2014 to 2023. Chickenpox and influenza were the main respiratory infectious diseases. Monitoring of pediatric respiratory infectious diseases was emphasized, with a focus on key populations and regions. It is necessary to strengthen the surveillance of respiratory infectious diseases in children, pay attention to key populations and key areas, and effectively control the spread of respiratory infectious diseases in children.

To investigate the dose-response relationship between neck circumference and hypertension using restricted cubic spline modeling.

The data for this study were sourced from the 2023 Zigong Respiratory Health Screening Program. A stratified random sample of Zigong residents aged 35 to 75 years was selected to participate in questionnaire surveys, physical measurements, and health examinations. Logistic regression and restricted cubic spline models were employed to investigate the relationship between neck circumference and hypertension.

A total of 4 142 participants aged 35-75 years were enrolled, with a hypertension prevalenceof 36.5%. After adjusting for confounders, the odds ratios (OR) associated with hypertension prevalencewas 1.20(95%CI: 1.01-1.43) for the low neck circumference group and 1.42(95%CI: 1.17-1.72) for the high neck circumference group. Restricted cubic spline analysis showed a U-shaped nonlinear dose-response relationship between neck circumference and prevalence of hypertension in the overall population and in the noncentrally obese population(P<0.001 for overall trend and P<0.05 for nonlinearity). In contrast, in the centrally obese population, a linear dose-response relationship was demonstrated between prevalence of hypertension and neck circumference(overall trend P<0.001, nonlinear P>0.05).

Neck circumference is strongly associated with hypertension and there is a U-shaped dose-response relationship.

To analyze the vaccination status of hepatitis B vaccine (HepB) among children born to HBsAg positive mothers in Qingdao City, to investigate factors influencing the vaccination timeliness of HepB.

Vaccination data of HepB among children born to HBsAg positive mothers in Qingdao City from 2020 to 2022 was obtained from Shandong immunization information systems. The vaccination rates and timely vaccination rates of HepB were analyzed, and multivariate logistic regression was used to identify factors influencing vaccination timeliness.

A total of 6 232 children born to HBsAg positive mothers were included. The vaccination rate of first dose of HepB (HepB₁) was 100%, and the timely vaccination rate (within 12 hours of birth) of HepB₁ was 84.88%. The full-course vaccination rate of HepB was 99.73%, and the timely full-course vaccination rate (within six months of birth) was 73.38%. Multivariate logistic regression showed that born in 2021 (OR=1.51, 95%CI: 1.26-1.80), born in 2022 (OR=4.92, 95%CI: 3.91-6.20), born in county-level hospitals (OR=1.65, 95%CI: 1.38-1.96) and private hospitals (OR=2.57, 95%CI: 1.88-3.50), birth weight ≥2.5kg (OR=2.89, 95%CI: 1.88-4.44), gestational age at birth ≥37 weeks (OR=1.83, 95%CI: 1.28-2.61), birth time not between 3 PM and 9 PM (OR=12.63, 95%CI: 10.69-14.95) were promoting factors for the vaccination timeliness of HepB₁; Female (OR=1.13, 95%CI: 1.01-1.26) was a promoting factor for the vaccination timeliness of full-course HepB; Gestational age at birth ≥37 weeks (OR=0.73, 95%CI: 0.57-0.95), second birth (OR=0.77, 95%CI: 0.68-0.86), third birth and above (OR=0.57, 95%CI: 0.46-0.70) were risk factors for the vaccination timeliness of full-course HepB.

The vaccination rates of HepB₁ and full-course HepB among children born to HBsAg positive mothers in Qingdao City were maintained at a high level, but the timely vaccination rates were relatively low. We should take targeted measures to improve the vaccination timeliness of HepB.

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 analyze and quantify the evaluation of China’s hepatitis B prevention and control policies, providing a reference for the formulation and improvement of subsequent related policies.

Taking the hepatitis B prevention and control policies issued at the national level as the research object, with policy documents retrieved from official sources such as the PKULaw Database, the Chinese Government Website, and the National Health Commission, and a retrieval deadline up to December 1, 2024, text mining was conducted on the policy documents, while a PMC index model was constructed to quantitatively evaluate representative policies.

The average PMC score of 9 policies was 6.79, which was generally good,of which 1 was excellent, 6 were good, and 2 were qualified, the 9 policies were in the first-level variables X1 policy nature (0.89 points), X5 policy timeliness (0.89 points), The X7 policy receptor (0.89 points) scored high, and the X3 policy structure (0.58 points) and X6 policy domains (0.51 points) scored lower.

The overall quality of hepatitis B prevention and treatment policies in China is relatively high, but it needs to be further improved in terms of policy structure, policy areas, policy quantity, and issuing agencies.

To analyze the status and influencing factors of medical care-seeking delay among tuberculosis patients in Zhuhai from 2005 to 2024, and to provide a basis for optimizing TB prevention and control strategies.

Information on registered PTB in Zhuhai from 2005 to 2024 was collected. A descriptive analysis was conducted on the characteristics of medical care-seeking delay. The Joinpoint regression model was used to analyze the trend of delay, and unconditional logistic regression was employed to analyze its influencing factors.

A total of 21 772 PTB cases were registered in Zhuhai from 2005 to 2024, with an overall delay rate of 33.73%. Comparative analysis showed statistically significant differences in delay rates among patients of different ethnicities, ages, occupations, household registration types, sources of patients, treatment categories, diagnostic results, and etiological test results (P<0.05). Compared with individuals under 25 years old, those aged 25-64 (OR=1.158, 95%CI: 1.068-1.256) and those aged 65 and above (OR=1.301, 95%CI:1.151-1.471) were at higher risk of delayed medical care-seeking. Factors associated with an increased risk of delay included local household registration (OR=1.303, 95%CI: 1.226-1.384), retreatment patients (OR=2.074, 95%CI: 1.907-2.257), tuberculous pleurisy (OR=1.508, 95%CI: 1.292-1.760), and bacteriologically positive TB (OR=1.207, 95%CI: 1.137-1.282). Protective factors against delay included active case finding (OR=0.413, 95% CI: 0.335-0.507), working in public places or commercial services (OR=0.803, 95%CI: 0.665-0.969), and being retired or unemployed (OR=0.818, 95%CI: 0.699-0.958).

The rate of delayed medical care-seeking among tuberculosis patients in Zhuhai is relatively high. Efforts should be made to improve the accessibility of medical services, enhance health education on PTB, and conduct active screening for key populations in order to further reduce the delay in seeking medical attention.