To investigate the association between long-term PM₁₀ exposure and dyslipidemia, including its subtypes, and to explore effect heterogeneity across populations.

Data were from the Guizhou Population Health Cohort Study, with baseline in 2010 and follow-up from 2016-2020, including 2 503 adults. Annual PM₁₀ exposure during 2005-2010 was estimated using a high-resolution spatial model. Time-dependent Cox models estimated hazard ratios (HR) and 95% confidence intervals (CI) for dyslipidemia and its subtypes. Subgroup analyses were conducted by age, sex, ethnicity, occupation, smoking, alcohol use, and indoor air conditions.

Over 17 333.5 person-years (median follow-up 6.63 years), 852 dyslipidemia cases occurred (49.15/1 000 person-years). Each 1 SD increase in PM₁₀(5.90 μg/m²) was associated with HR=1.204 (95%CI: 1.106-1.310) for dyslipidemia, remaining robust in dual- and multi-pollutant models. PM₁₀ was mainly associated with elevated LDL-C (HR=1.649, 95%CI: 1.424-1.909). Stronger associations were observed among ethnic minorities, manual laborers, and participants using no clean fuel or lacking ventilation (P for interaction<0.05).

Long-term PM₁₀ exposure increases dyslipidemia risk, especially elevated LDL-C, with stronger effects in ethnic minorities, manual laborers, and those with poor indoor air conditions, emphasizing the need for targeted air pollution control for susceptible populations.

To explore the mediating role of social activity in the relationship between community environment and loneliness.

Convenience sampling was used to select 324 community-dwelling older adults in Guiyang City as study participants between February and July 2025. Data collection tools included a general information questionnaire, the DJGLS Loneliness Scale, the Community Social Environment Perception Evaluation Questionnaire, and the Community Built Environment Perception Evaluation Questionnaire. Mediation effect analysis was conducted using Model 4 in the SPSS PROCESS macro program.

Spearman correlation analysis showed that community social environment(r= -0.560, P<0.001).community built environment (r=-0.605, P<0.001) and social activity (r= -0.627, P<0.001) were negatively correlated with loneliness; Social activity was positively correlated with community social environment (r=0.441, P<0.001) and community built environment (r= 0.472, P<0.001). The results of the mediation effect test showed that social activity partially mediated the relationship between community social environment, community-built environment, and loneliness, with mediation effects accounting for 29.29% and 25.18%, respectively.

Community environment not only directly influences older adults’loneliness but also indirectly influences it through social activity. Efforts should be accelerated to build elderly-friendly community environments, organize elderly activities based on communities, enhance older adults’social activity, and reduce the incidence of loneliness.

To investigate quinolone antibiotic residues in fresh/frozen aquatic animals in Shanghai and assess dietary intake and health risks for local adults.

A total of 8 857 samples were collected from breeding, circulation and catering links in Shanghai during 2017-2024. Fourteen quinolone antibiotics were detected by high performance liquid chromatography-tandem mass spectrometry. Combined with “2023 Shanghai Residents’Diet and Health Status Monitoring”data, point and probability estimation were used to evaluate health risks.

The total detection rate of quinolone antibiotics was 26.40% with a total over-limit rate of 4.36%. Enrofloxacin (including ciprofloxacin) had the highest detection rate (26.21%) and over-limit rate (3.91%), while other quinolones had detection and over-limit rates <1%. Top 3 for highest average total quinolone antibiotic residues: freshwater fish, freshwater shrimp, marine fish. Point assessment showed food safety indexes <1 for both general and highly exposed populations, indicating low health risks. Probability assessment revealed P50 and P95 exposure levels of enrofloxacin (including ciprofloxacin) were 1.89 ng/(kg·bw·d) and 139.00 ng/(kg·bw·d), respectively.

Enrofloxacin (including ciprofloxacin) was the main detected quinolone in Shanghai’s fresh/frozen aquatic animals, with freshwater fish more contaminated. However, health risks of quinolone intake via these products for Shanghai adults were relatively low.

This study investigated the potential anti-obesity mechanisms of betaine by examining its effects on gut microbiota composition, intestinal hormone secretion, and visceral fat metabolism in rats fed a high-fat diet.

18 male SD rats were randomly divided into 3groups: the normal chow diet group (NCD), the high-fat diet group(HFD), and the high-fat diet + betaine group(HBE). Eight weeks later, the rats were sacrificed, and blood was collected to evaluate lipid metabolism and intestinal hormone secretion. 16SrRNA sequencing and reverse transcription quantitative PCR (RT-qPCR) were used to analyze the structure of the intestinal flora and the expression levels of adipocyte genes in rat feces.

Compared with the high-fat diet group, betaine intervention significantly reduced the body weight (P=0.024) and epididymal white adipose tissue weight (P=0.001) of the rats, decreased the serum TG level (P=0.010), and increased the HDL-C (P=0.004) , PYY(P=0.001) and CCK (P=0.026) levels. In addition, linear regression analysis showed that the betaine-induced changes in the β-diversity of the intestinal flora could explain 22.43% of the changes in serum PYY levels (R²=0.224, P=0.047), and 25.09% of the changes in serum CCK levels (R²=0.251, P=0.034). Gene expression analysis showed that betaine intervention down-regulated the expression levels of Fabp3(P=0.019) and Akt1 (P<0.001) and up-regulated the expression of Abcd1 and Trem2 (P=0.010,0.035).

The changes in the intestinal microbiota induced by betaine intervention may improve obesity-related metabolic damage by regulating lipid metabolism and the secretion of intestinal hormones in the host.

To understand the current status of nutrition and health knowledge among primary and secondary school students in Anhui Province, analyze its influencing factors, and provide a basis for conducting nutrition and health education.

In 2024, a multistage stratified cluster random sampling method was used to investigate grades 4 to 6 and junior middle school students in 8 counties/districts in Anhui Province. The total score of the questionnaire was 100. The total of 75 or above indicated having knowledge of nutrition and health.A score of over 75% in each dimension was required to be considered as having nutritional health knowledge in that dimension. Binary logistic regression was used to analyze the influencing factors of nutrition and health knowledge among students.

A total of 2 225 primary and secondary school students were surveyed, including 1 074 girls (48.27%) and 1 018 primary school students (grades 4 to 6) (45.75%). The awareness rate of middle school students was relatively low in the two dimensions of dietary recommendations (24.58%) and food classification and characteristics (46.61%). Multivariate analysis showed that female (OR=1.346, 95%CI: 1.136-1.595), urban students (OR=1.224, 95%CI: 1.018-1.471), junior high school students (OR=1.500, 95%CI: 1.265-1.778), and having a mother with a college degree or above (OR=1.881, 95%CI: 1.347-2.627) were the positively correlated factors of students’ nutritional health knowledge.

Anhui Province’s primary and secondary school students have lower awareness rates of nutrition and health knowledge in the dimensions of dietary recommendations and food classification and characteristics. Gender, urban-rural residence, grade level, and the mother’s educational level are the main factors influencing students for the awareness rate of nutrition and health knowledge among primary and secondary school students. Health education should be conducted for different students and in different aspects of nutrition and health knowledge.

Toinvestigate population preferences and willingness to pay for colorectal cancer diagnostic strategies, andto provide evidence to optimize the initial screening and diagnosis service pathway and develop intervention strategies.

A discrete choice experiment was designed incorporating six attributes: appointment waiting time, number of healthcare visits, pre-diagnostic preparation, invasiveness, diagnostic accuracy, and out-of-pocket cost. In a central urban district of Shanghai, respondents were presented with a hypothetical scenario in which they had tested positive in an initial screening for colorectal cancer. Based on this scenario, their preferences for diagnostic strategies were elicited. A mixed logit model was subsequently employed to analyze population preferences and willingness to pay (WTP).

Appointment waiting time, pre-diagnostic preparation, invasiveness, diagnostic accuracy and out-of-pocket cost had significant effects on respondents’ choices of diagnostic strategies. Diagnostic accuracy was the most important attribute, accounting for 53.61% of relative importance. This was followed by pre-diagnostic preparation and invasiveness, which together accounted for 26.33%. Respondents were willing to pay an additional 623.50 RMB to switch from an invasive to a non-invasive diagnostic option.

Preferences for colorectal cancer diagnostic strategies are primarily driven by diagnostic accuracy, with trade-offs involving the absence of pre-diagnostic preparation, non-invasiveness, shorter appointment waiting times, and lower out-of-pocket costs. It is recommended that communities further strengthen health education on the accuracy of colonoscopy diagnosis, provide non-invasive diagnostic alternatives, and improve referral efficiency. These measures may enhance population adherence to diagnostic procedures, thereby improving the effectiveness of colorectal cancer screening programs and maximizing population health benefits.

To explore the impact of family doctor contract service utilization on the choice of primary medical institutions among elderly patients with multimorbidity, and to provide a reference for improving the family doctor contract service system.

Based on the 2023 China Longitudinal Aging Social Survey (CLASS) data, propensity score matching was employed for analysis.

The utilization rate of contracted family doctor services was 23.8%, and the proportion of choosing primary healthcare institutions was 48.7%. The propensity score matching results showed that under the three matching methods—nearest neighbor matching, radius matching, and kernel matching—the average treatment effects on the treated (ATT) of contracted family doctor service utilization on the choice of primary healthcare institutions were 0.126 1, 0.128 6, and 0.117 9, respectively (all P<0.01). Heterogeneity analysis showed that the improvement effect of family doctor contract service utilization was stronger in urban participants than in rural participants, and the effect increased with the number of chronic diseases.

The utilization of contracted family doctor services significantly increases the likelihood that older adults with multimorbidity will choose primary healthcare institutions.Service provision should be precisely optimized according to the characteristics of different groups to further increase their utilization rate of primary healthcare services.

To investigate the distribution of pathogenic bacteria in community-acquired pneumonia among the elderly population, to construct a risk assessment model for high-risk groups of community-acquired pneumonia, and to provide a basis for clinical prevention and control of pneumonia.

A total of 163 elderly patients with community-acquired pneumonia who were hospitalized in Chongqing Fuling Hospital, School of Medicine, from January 2020 to January 2025 were included as the pneumonia group, and another 180 elderly people with normal physical examinations during the same period were selected as the control group. By comparing the baseline data of the two groups of patients, logistic multivariate analysis was used to identify the independent risk factors for the occurrence of community-acquired pneumonia in the elderly. Based on the results of the factor analysis, a nomogram prediction model was constructed. The model’s efficacy was evaluated using the receiver operating characteristic (ROC) curve, calibration curve, and Hosmer-Lemeshow goodness-of-fit test.

A total of 172 pathogenic bacteria were isolated from 163 patients with community-acquired pneumonia, with Candida albicans (41.10%) and Klebsiella pneumoniae (31.29%) accounting for the highest proportion. The results of the logistic analysis showed that smoking history (OR=1.971, 95%CI: 1.396 - 2.783), cerebrovascular disease (OR=1.300, 95%CI: 1.013 - 1.668), anemia (OR=1.281, 95%CI: 1.014 - 1.618), liver and kidney dysfunction (OR=2.037, 95%CI: 1.008 - 4.118), septic shock (OR=2.299, 95%CI: 1.074 - 4.922), consciousness disorder (OR=1.635, 95%CI:1.074 - 2.488), animal breeding (OR=1.901, 95%CI: 1.364 - 2.648), and dust exposure (OR=1.478, 95%CI: 1.048 - 2.085) were all independent risk factors for community-acquired pneumonia in the elderly（P<0.05）. The ROC curve of the nomogram showed that the AUC=0.710 (95%CI: 0.661 - 0.759), the sensitivity was 0.702, and the specificity was 0.813. The Hosmer-Lemeshow test result showed:P=0.36 (P > 0.05).

Smoking history, cerebrovascular disease, anemia, liver and kidney dysfunction, etc. are all independent risk factors for community-acquired pneumonia in the elderly. Early prevention and control of these risk factors should be strengthened to reduce the risk of pneumonia occurrence.

This study is based on the current status of the construction of a team of disease control supervisors in medical institutions, analyzes the difficulties in building a team of disease control supervisors in medical institutions, and proposes optimization strategies accordingly to provide reference for the collaborative construction of a team of disease control supervisors in medical institutions.

Based on the SFIC model, the dilemma of collaborative construction of the disease control supervisor team in medical institutions was analyzed from four aspects: starting conditions, catalytic leadership, system design, and collaborative process.

The resource endowment of the starting conditions is unbalanced and the foundation of collaboration is weak, the overall authority of the catalytic leadership is missing and the driving mechanism fails, the rule system of the institutional design is fragmented and operable, and the interactive mechanism of the collaborative process is blurred and closed-loop management is missing.

It is recommended to consolidate the resource base and reconstruct collaborative motivation, establish overall coordination authority and improve professional incentives, build a unified framework and clear rules, deepen trust interaction and realize closed-loop operation as strategies for collaboratively building a team of disease control supervisors in medical institutions.

To explore the correlation patterns and group differences between college students’ mental health and sleep quality using network analysis methods, providing empirical evidence for targeted interventions.

A total of 428 college students were selected as the research subjects, and surveys were conducted using the General Health Questionnaire (GHQ-20) and the Pittsburgh Sleep Quality Index (PSQI). The mental health-sleep quality network was constructed using the qgraph package in R software, and centrality indicators of each node were calculated. The Network Comparison Test (NCT) was used to analyze the influence of gender and military status on this network.

In the overall network, daytime dysfunction (a7), anxiety (b3), and subjective sleep quality (a1) were core nodes, while anxiety (b3), daytime dysfunction (a7), and depression (b2) served as core bridges between modules. Gender differences were reflected in higher global connectivity strength in males (s=0.960,P=0.048), with statistically significant edge association differences between sleep disorders and daytime dysfunction (P=0.005), and between daytime dysfunction and self-denial (P=0.045). Military status only had a moderating effect on the association between subjective sleep quality and sleep efficiency (P=0.018), with no significant difference in the overall network.

Network analysis reveals the correlation characteristics between college students’ sleep and mental health, providing a scientific path for targeted services.