To examine the joint association of intrinsic capacity (IC) and long-term fine particulate matter (PM_2.5) exposure with incident cardiovascular disease (CVD) among older Chinese adults.

This prospective cohort study used data from the China Health and Retirement Longitudinal Study (CHARLS). We included 3 241 participants aged ≥60 years who were free of CVD at baseline in 2011 and followed them through 2020. IC was assessed across five domains: locomotion, vitality, sensory function, cognition, and psychological well-being, and categorized by the number of deficits (0, 1, 2, or ≥3). Long-term PM_2.5 exposure was estimated using satellite-based data linked to participants’ residential locations. Cox proportional hazards models were used to estimate the association between IC-PM_2.5 joint exposure groups and incident CVD, with hazard ratios (HRs) and 95% confidence intervals (CIs) reported. In addition, group-based trajectory modelling (GBTM) was applied to identify IC trajectories, and the association between PM_2.5 exposure and CVD risk was further evaluated across different trajectory groups.

During a mean follow-up of 7.9±2.2 years, 697 participants (21.5%) developed incident CVD, with an incidence density of 27.3 per 1 000 person-years (95%CI: 25.3-29.4). Compared with the “high IC + low PM_2.5 exposure” group, the adjustedHRs for incident CVD were 1.53 (95%CI: 1.20-1.96) for the “low IC + high PM_2.5 exposure” group. Three IC trajectories were further identified: “low-level with transient improvement”, “moderate-level with persistent decline”, and “high-level with stable improvement”. In the “low-level with transient improvement” trajectory group, each 10 μg/m³ increase in PM_2.5 exposure was associated with an increased risk of incident CVD (HR=1.20, 95%CI: 1.02-1.42), whereas no statistically significant associations were observed in the other trajectory groups.

Older adults with both lower IC levels and higher long-term PM_2.5 exposure had the highest risk of incident CVD. PM_2.5-related CVD risk also differed across IC trajectory groups.

To systematically investigate the independent factors influencing the life expectancy of patients with dementia enrolled in the Chengdu Long-Term Care Insurance (hereinafter referred to as “LTCI”) system, and to provide high-quality evidence for implementing precision care, developing a risk stratification management system, and optimizing LTCI policies.

A retrospective cohort study design was employed. A total of 10 108 patients with dementia enrolled in Chengdu LTCI from January 2018 to April 2022 were included and followed up until July 2025. Baseline demographic characteristics, comorbidities, adverse events, and assessment data on cognitive function, activities of daily living, and neuropsychiatric behaviors were extracted. Using Python software, descriptive analysis, univariate tests, multicollinearity tests, multivariate logistic regression, Cox proportional hazards regression, and model performance evaluation were conducted.

Among the 10 108 patients, 5 435(53.8%) died. Multivariate logistic regression indicated that age (OR=1.64, 95%CI：1.56-1.72), male gender (OR=1.63, 95%CI：1.47-1.80), mild dysphagia (OR=4.01, 95%CI：3.30-4.88), and >2 comorbidities (OR=1.50, 95%CI：1.31-1.73) were independent risk factors for mortality, while moderate cognitive impairment (OR=0.29, 95%CI：0.18-0.46) and higher education level (OR=0.77, 95%CI：0.64-0.91) were independent protective factors (all P<0.05). Multivariate Cox regression showed that gender (male: HR=1.412, 95%CI:1.336-1.491), age (HR=1.039, 95%CI:1.036-1.042), number of comorbidities (HR=1.226, 95%CI:1.143-1.316), adverse events (HR=1.293, 95%CI:1.141-1.466), and swallowing function (HR=1.092, 95%CI:1.059-1.126) were risk factors for survival, whereas better cognitive function (HR=0.399, 95%CI:0.357-0.446), activities of daily living (HR=0.948, 95%CI:0.911-0.985), higher education level (HR=0.964, 95%CI:0.944-0.985), and history of surgery (HR=0.789, 95%CI:0.661-0.940) were protective factors (all P<0.05). The AUC of the logistic regression model was 0.7315, and the Cox regression model showed good calibration and discrimination (24-month calibration slope=1.084) with strong stability.

The life expectancy of patients with dementia under long-term care is influenced by multidimensional factors. Abnormal swallowing function, advanced age, and male gender are core risk factors, while family care, higher education level, and better functional status are key protective factors. The constructed Cox regression model can be effectively used for clinical risk assessment, and targeted interventions are expected to improve patient prognosis.

To examine the relationship among psychological resilience, perceived social support, and public health literacy among medical students, and to explore the mediating role of psychological resilience.

From December 2024 to June 2025, a multistage stratified convenience sampling method was used to select 1 484 medical students from 10 universities in Shanxi and Sichuan provinces. Data were collected using the Public Health Literacy, Psychological Resilience, and Perceived Social Support scales, and analyzed using Pearson correlation, multiple linear regression, and stepwise regression.

The scores of public health literacy, psychological resilience, and perceived social support were 4.36±0.56, 103.84±15.23, and 70.92±12.07, respectively. Public health literacy was positively correlated with psychological resilience (r=0.722, P<0.01) and perceived social support (r=0.598, P<0.01), and psychological resilience was also positively correlated with perceived social support (r=0.716, P<0.01). Multiple linear regression identified academic level (t=-2.877, P=0.004), major category (t=4.280, P<0.001), public health courses (t=2.194, P=0.028), career intention (t=-2.607, P=0.009; t=-2.259, P=0.024), policy awareness (t=3.750, P<0.001), mental health status (t=-2.032, P=0.042), perceived social support (t=6.276, P<0.001), and psychological resilience (t=21.506, P<0.001) as associated factors. Mediation analysis showed that perceived social support was positively associated with public health literacy (β=0.598, t=28.715, P<0.001) and psychological resilience (β=0.716, t=39.527, P<0.001). After psychological resilience was included, both perceived social support (β=0.166, t=6.524, P<0.001)and psychological resilience (β=0.603, t=23.742, P<0.001)remained positively associated with public health literacy. Psychological resilience partially mediated this association, with the indirect effect accounting for 72.20%.

Medical students had relatively high public health literacy. Psychological resilience and perceived social support were associated factors, and psychological resilience played a partial mediating role.

To investigate the effects of shift work and remnant cholesterol (RC) on renal impairment among steel workers and to analyze the mediating role of RC in this association.

A cohort study was conducted involving 4 113 workers from a steel enterprise in Tangshan. Participants were enrolled in 2017 and followed up until 2023 to record incident cases of renal impairment. Shift work status was assessed to calculate the Weighted Shift Index (WSI), and RC levels were determined based on fasting lipid profiles. Cox regression was used to analyze risk associations, the Bootstrap method was employed to examine the mediating effect of RC, and sensitivity analyses were conducted to evaluate the robustness of the findings.

A total of 626 participants (15.2%) developed renal impairment. Compared with those who never worked shifts, former and current shift workers had a 3.267-fold (95%CI: 2.399-4.449) and 2.910-fold (95%CI: 2.163-3.914) increased risk of renal impairment, respectively. Each IQR increase in WSI was associated with a 29.4% increase in risk. Participants in the high RC group (≥ 0.71 mmol/L) had a 1.762-fold (1.364-2.277) higher risk compared to those in the low RC group (<0.34 mmol/L). Mediation analysis revealed that RC partially mediated the association between shift work and renal impairment, accounting for 12.4% (former shift work), 10.6% (current shift work), and 6.1% (WSI) of the effect, respectively.

Higher shift work load and elevated RC levels were both significantly associated with an increased risk of renal impairment, with RC playing a partial mediating role in this relationship.

To investigate the role and mechanism of FABP5 in pulmonary inflammation associated with silicosis by analyzing multi-omics data in conjunction with a silicosis mouse model.

Single-cell sequencing was performed to analyze the potential role of FABP5 in occupational respiratory diseases; a silicosis mouse model was used to validate the relationship between FABP5 and pulmonary inflammation in silicosis; intra-abdominal injection of FABP5 inhibitors to modulate FABP5 function; and employed hematoxylin-eosin staining, immunohistochemistry, Western blotting, real-time quantitative PCR, and transcriptomic sequencing to investigate the role and potential mechanisms of FABP5 in silica-induced lung tissue inflammation in mice.

Single-cell sequencing revealed that FABP5 expression was elevated by 3.10-fold (P<0.01) and 4.71-fold (P<0.05) in lung tissue from patients with pneumoconiosis and in a mouse model of silicosis, respectively, and was highly enriched in macrophages; Transcriptomic sequencing revealed that, compared to the silicosis model group, inhibition of FABP5 downregulated the expression of inflammatory genes such as TNF, IL-1α, and IL-1β, with the relative protein expression levels of TNF-α and IL-1β decreasing by 4.67-fold (P<0.001) and 0.25-fold (P<0.01), respectively.

FABP5 is a key pathogenic factor in silicosis-induced pulmonary inflammation. In vivo inhibition of FABP5 alleviates pulmonary tissue inflammation in silicosis, providing insights for research into the mechanisms and clinical management of silicosis.

To develop an Integrated Measurement Model (IMM) for occupational stress by utilizing the cross-culturally adapted Job Content Questionnaire (JCQ-22adj) to measure occupational stress and its related factors, manifestations, and effects.

A cluster sampling method was employed to select 807 workers undergoing occupational health examinations as the study subjects. Data on demographic characteristics, occupational stress, insomnia, self-reported symptoms, and related factors and effects were collected using a basic information questionnaire, the JCQ-22adj, the brief Athens Insomnia Scale (AIS-5), and the Symptom Checklist-90. Factor analysis and principal component analysis were applied to integrate physical examination indicators for constructing the IMM and calculating the Stress-related Health Risk Index (SHRI) to assess the risk of stress-related health outcomes.

The constructed IMM comprised three core dimensions: occupational stress, insomnia, and self-reported symptoms, with economic security and work environment as external factors. The subjective and objective health outcomes were represented by perceived workplace comfort and changes in physical examination indicators, respectively. The SHRI calculation formula was derived from the model, yielding a mean score of 19.06. SHRI demonstrated a significant negative correlation with subjective workplace comfort (r=-0.25, P< 0.001). The area under the receiver operating characteristic curve for predicting stress-related diseases was 0.67 (P<0.001), indicating a moderate level of predictive validity and confirming its effectiveness in reflecting the comprehensive health risk associated with occupational stress.

IMM and the SHRI provide a holistic approach to assessing the impact of occupational stress and its composite state on health. They offer valuable insights for formulating targeted intervention strategies for occupational stress and for the assessment and prevention of comprehensive stress-related health risks.

To analyze the detection status and associated factors of ocular abnormalities among on-the-job welders from Jiangsu Province in 2024, so as to provide scientific evidence for ocular health protection and surveillance among welders.

Based on the Occupational Disease and Health Hazard Factors Information Monitoring System, occupational health examination data of 76 111 on-the-job welders from Jiangsu Province in 2024 were collected for a cross-sectional study. Pearson’s χ² test was used to compare the detection rates of ocular abnormalities among welders with different occupational characteristics. Multivariate logistic regression analysis was used to analyze factors associated with conjunctival, corneal, lens, and fundus abnormalities, and trend analysis was performed for length of service.

The detection rates of conjunctival, corneal, lens, and fundus abnormalities were 0.88%, 1.08%, 1.47%, and 1.09%, respectively. Multivariate logistic regression analysis showed that, compared with welders with ≤5 years of service, >20 years of service was an independent risk factor for conjunctival abnormalities (OR=1.82, 95%CI: 1.29-2.61), corneal abnormalities (OR=4.20, 95%CI: 3.01-5.91), lens abnormalities (OR=2.63, 95%CI: 2.03-3.42), and fundus abnormalities (OR=2.36, 95%CI: 1.82-3.06), all P<0.001. Trend analysis showed that with increasing length-of-service category, the risks of conjunctival, corneal, lens, and fundus abnormalities increased by 16%, 46%, 26%, and 23% respectively, all P<0.001.

The overall detection rates of ocular abnormalities among on-the-job welders from Jiangsu Province in 2024 were relatively low. Longer length of service was an independent risk factor for conjunctival, corneal, lens, and fundus abnormalities. Welders with long service duration should be considered a key population for occupational ocular health surveillance, health education, and protective intervention.

To explore the influencing factors of occupational stress and their relationships among workers in key industries of Bijie City, so as to provide scientific reference for the construction of occupational health intervention system.

A total of 1 986 workers from 8 key industries in Bijie City were enrolled by stratified random sampling. Relevant information on occupational stress was collected by the National Key Population Occupational Health Literacy Monitoring Questionnaire. SPSS 26.0 was used to screen influencing factors, and GeNIe 4.0 was adopted to construct a Bayesian network model for backward reasoning and sensitivity analysis.

The detection rate of occupational stress among workers in key industries of Bijie City was 29.88%.Multivariate analysis showed that females (OR=1.335, 95%CI:1.005-1.774), employees in private enterprises (OR=2.467, 95%CI:1.362-4.469), night shift workers (OR=1.876, 95%CI:1.478-2.382), workers with self-rated general health status (OR=1.710, 95%CI:1.098-2.662), and those lacking occupational health literacy (OR=2.562, 95%CI:2.004-3.276) had an increased risk of occupational stress. The Bayesian network model consisted of 9 nodes and 14 directed edges. Industry category, enterprise nature, weekly working hours, night shift, health status and occupational health literacy were direct influencing factors, while gender was an indirect influencing factor. The classification accuracy of the model was 77.12%, with an AUC of 0.823 (95%CI:0.80-0.85), indicating good predictive efficiency and model fitting performance. Backward reasoning identified 6 core risk nodes, and industry category was the most sensitive variable.

Industry category, enterprise nature, weekly working hours, night shift, health status and occupational health literacy can be taken as the intervention targets for the prevention and control of occupational stress.