中华预防医学杂志最新文献

Taking Dr. Wu Lien-teh's contributions to the containment of the 1910 Northeastern Plague as a starting point, this article briefly examines a century of development in China's public health and explores the application of the "One Health" concept. It first outlines Dr. Wu's groundbreaking achievements and enduring institutional legacies, including his pioneering scientific methods, the establishment of a modern public health system, and mechanisms for talent cultivation. Subsequently, the article analyzes Dr. Wu's containment strategies through the lens of "One Health", demonstrating that his approaches-characterized by multi-sectoral collaboration, international cooperation, administrative support, and evidence-based practice-closely align with core principles of "One Health" idea. The discussion then traces the establishment and development of China's plague preventive and control system, highlighting its foundation on the principle of "prevention first, combined with treatment and prevention, " as well as achievements in integrated surveillance and control networks, legal frameworks, specialized institutions and professional teams, joint prevention and control mechanisms, and scientific and technological innovation. Finally, the article proposes future directions for China's public health development, calling for deeper implementation of the "One Health" approach, enhanced cross-border joint prevention and control, a transformation in health governance, and the building of a shared global health community.

Objective: To analyze the epidemiological characteristics of cases involving monkey injuries at medical institutions surrounding Qianlingshan Park in Guiyang City, and to provide a reference basis for preventive measures to reduce monkey injuries and standardized post-exposure treatment. Methods: A retrospective cross-sectional study was conducted, collecting 1 900 cases of monkey-induced injuries in Qianlingshan Park treated at the outpatient clinic of Guizhou Provincial Center for Disease Control and Prevention and the Department of Surgery at Qianling Hospital, Guiyang City, from 2021 to 2024. Statistical analysis was performed using Pearson's chi-square test. Results: Total of 1 900 cases of monkey-related injuries in Qianlingshan Park were collected from 2021 to 2024. The exposure time distribution exhibited significant seasonality, with 48.58% of cases occurring during July and August, totaling 923 cases, indicating a peak in the summer. There were 774 male patients and 1 126 female patients, with a ratio of 1∶1.45.and significant differences were observed between different age groups and genders (χ²=195.00, P<0.001), with the highest number of cases occurring in the 0-9 and 20-29 age groups, accounting for 22.05%(419 cases) and 21.79%(414 cases), respectively. The upper limbs were the most common injury site, accounting for 50.84% of the total cases(966 cases in total), with significant differences between gender and injury location (χ²=22.00, P<0.001), Among females, the proportion of injuries to the upper and lower limbs (30.11% and 16.47%, respectively) was higher than that among males (20.74% and 8.63%, respectively). The majority of injuries were classified as Grade Ⅲ, making up 57.38% of cases(1 069 cases in total). Self-treatment after exposure was the most common approach(60.44%), with significant differences observed between wound severity and treatment method (χ²=6.90, P=0.032), Patients with Grade Ⅱ and Grade Ⅲ wounds were more likely to choose self-management (26.84% and 33.23%, respectively) than outpatient management (15.14% and 24.15%). Approximately 98.05% (1 863 cases) of monkey-injured patients had received rabies vaccinations. Conclusions: This study analyzes monkey-related injuries in Qianlingshan Park from 2021 to 2024, clarifying the temporal distribution of injuries, demographic characteristics, injury sites, and treatment methods. The findings provide references for optimizing human-monkey conflict management and the prevention and control of zoonotic diseases in urban ecological parks.

This article delves into the importance and urgency of improving the quality of big data on dietary nutrition and chronic diseases within the disease control system. With the continuous rise in the incidence of chronic diseases, enhancing the quality of relevant data has become crucial in addressing public health challenges. The article proposes a series of concrete measures to improve the accuracy, completeness, and usability of the data, drawing on theoretical and technical support. By strengthening data collection, management, analysis, and application, the goal is to establish a high-quality big data system for dietary nutrition and chronic diseases. This will provide solid data support and scientific evidence for formulating targeted prevention and control strategies, supporting policy development, promoting scientific research innovation, and improving public health standards.

Objective: To evaluate the risk of developing pulmonary tuberculosis (PTB) among individuals with latent tuberculosis infection (LTBI) in schools and the protective effect of tuberculosis preventive treatment (TPT). Methods: A retrospective cohort study was conducted to collect data on 15 school outbreaks that occurred in Guangdong Province from 2017 to 2021. Baseline information on tuberculin skin test (TST) or interferon-gamma release test (IGRA) was obtained during contact surveys, as well as baseline information such as TPT. The incidence of PTB between 2017 and 2022 was queried using the Chinese Center for Disease Control and Prevention Information System. Poisson regression analysis was used to compare the incidence risk of PTB in the LTBI population under different TST states at baseline. Current cases, new cases and all cases (the sum of the two) were used as dependent variables. Cox regression models were used to analyze various risk factors affecting the risk of PTB in the LTBI population and evaluate the protective effect of TPT. Results: A total of 6 550 contacts were included in this study, of which 409 received TPT. Within 0-3 months after baseline survey, 119 cases were diagnosed as current cases [19.4‰, 119/(6 550-409)]. A total of 17 221.65 person-years of follow-up were conducted, during which 71 new cases were diagnosed (4.1/1 000 person-years, 71/17 221.65). The incidence density of PTB was 47.7/1 000 person-years, 6.6/1 000 person-years, 1.4/1 000 person-years, and 0.9/1 000 person-years, respectively, in TST strong/IGRA positive, TST moderate positive, TST generally positive, and TST and IGRA negative populations. The difference in PTB incidence density was statistically significant [likelihood ratio test LRT=153.16, P<0.001]. TPT was performed for individuals with strong TST or IGRA positivity, and the protection rate could reach 93% (HR=0.07, 95%CI: 0.02-0.23). Conclusion: After the outbreak of the school epidemic, individuals with strong TST/IGRA positivity have a higher risk of developing PTB in the future. Targeted implementation of TPT can achieve better protection effects. In addition, the risk of developing PTB in individuals with moderate TST positivity is also worth noting.

In 2025, Chinese Medical Association commemorates its 110th anniversary. Over this century-spanning journey in medical advancement, human biomonitoring (HBM) has emerged as a pivotal tool in environmental medicine for assessing population exposure to environmental pollutants and associated health risks. Since the dawn of the 21st century, China has actively advanced its HBM technological framework, providing critical scientific support for chemical regulation policies and public health protection. Chinese Journal of Preventive Medicine has consistently chronicled progress in this field, publishing high-impact research and serving as a key platform for academic exchange and knowledge dissemination.Marking this milestone, this article systematically reviews the current state of global HBM development, elucidates its indispensable role in preventive medicine, and highlights advancements and technical innovations within China's National Human Biomonitoring Program. It further examines persistent challenges and outlines future directions, offering scientific support for precision interventions in environmental health risks under the "Healthy China 2030" strategy.

Objective: To analyze the effects of the disease and injury spectrum on health-adjusted life expectancy (HALE) among permanent residents aged 55 and above in Shenzhen from 2016 to 2030. Methods: Based on the mortality surveillance data and the permanent resident population data in Shenzhen from 2016 to 2022, the Sullivan method was used to calculate the HALE during 2016-2022. The Bayesian age-period-cohort model and the grey system model were used to predict the HALE during 2023-2030. The HALE changes in the two periods were decomposed into the contributions of 20 categories of diseases and injuries, respectively. Results: From 2016 to 2022, the HALE increased from 31.41 years (95%CI: 30.50-32.32) to 33.57 years (95%CI: 32.47-34.67). During this period, the mortality effect of neurological disorders slowed the increase of HALE, with a reduction of 0.27 years. By 2030, it is anticipated that the HALE will reach 36.40 years (95%CI: 34.78-38.01). This is expected to be influenced by the mortality effects of nutritional deficiencies (-0.40 years) and mental disorders (-0.29 years), as well as the disability effects of musculoskeletal disorders (-0.66 years), skin and subcutaneous diseases (-0.21 years) and nutritional deficiencies (-0.13 years). Conclusion: The HALE of permanent residents aged 55 years and above in Shenzhen demonstrated an increasing trend over time. Greater attention should be paid to the adverse effects of neurological disorders, nutritional deficiencies, mental disorders, musculoskeletal disorders, and skin and subcutaneous diseases on the continuous increase of HALE in this population.

Objective: To investigate the association between blood selenium levels and sex hormones in Chinese men aged 18-79 years. Methods: Data were derived from the China National Human Biomonitoring survey conducted in 2017-2018, with a final sample size of 5 414 men. General demographic characteristics, behavioral habits, and dietary frequency were collected through questionnaires and physical examinations. Fasting blood samples were collected to measure blood lead, serum testosterone, and estradiol levels. Complex sampling linear regression models were used to analyze the associations between blood selenium levels and testosterone, estradiol, and the testosterone/estradiol ratio, adjusting for confounding factors including age, education level, marital status, smoking status, alcohol consumption, seafood intake, soy product intake, protein supplement intake, BMI, and diabetes status. Results: The mean age of the 5 414 participants was (46.85±27.91) years; 4 774 (91.65%) were of Han ethnicity and 4 505 (86.68%) were married. The median (Q₁, Q₃) blood selenium concentration in men was 97.80 (80.64, 116.99) μg/L. After adjusting for confounding factors, the complex sampling linear regression model revealed negative associations between blood selenium levels and both testosterone levels and the testosterone/estradiol ratio, with a significant linear trend (P_trend<0.05). Compared with the Q₁ group, the β (95%CI) values for testosterone in the Q₂, Q₃, and Q₄ groups were -0.02 (-0.06 to 0.02), -0.03 (-0.08 to 0.01), and -0.06 (-0.09 to -0.02), respectively. Similarly, the β (95%CI) values for the testosterone/estradiol ratio in the Q₂, Q₃, and Q₄ groups were -0.01 (-0.03 to 0.02), -0.01 (-0.04 to 0.04), and -0.03 (-0.06 to -0.01), respectively. Subgroup analysis indicated stronger associations between blood selenium levels and testosterone/estradiol levels in non-smoking and obese men (BMI≥28 kg/m²). Conclusion: Blood selenium levels are negatively associated with testosterone levels and the testosterone/estradiol ratio in Chinese adult males.

Objective: To analyze clinical indicators and imaging data of hospitalized pneumonia patients and develop prediction models for length of hospital stay based on CT radiomics features and clinical indicators. Methods: Patients admitted to the First Clinical School of Hainan Medical University for pneumonia treatment between November 2020 and May 2024 were enrolled. Clinical data and CT imaging were collected, and radiomics features were extracted. Patients were divided into three groups based on the length of stay (<8 d, 8-28 d,>28 d, and poor prognosis). Three prediction models were constructed using logistic regression (LR): clinical features model, imaging features model and a combined clinical and imaging features model. The predictive performance of three models was evaluated using the area under the receiver operating characteristic (ROC) curve and DeLong test, followed by feature analysis. The Kappa test was used to compare the consistency of the overall classification. Results: A total of 343 subjects were included, with an average age of 61.46±20.98 years. The area under the curve (AUC) values of the combined model in different hospitalization duration classifications (<8 d, 8-28 d,>28 d, and poor prognosis) were 0.73, 0.65 and 0.78 in the training set, and 0.71, 0.65 and 0.76 in the validation set, respectively. The AUC values of the clinical feature model in different hospitalization duration classifications were 0.63, 0.64 and 0.73 in the training set, and 0.60, 0.52 and 0.63 in the validation set, respectively. The AUC values of the imaging feature model in different hospitalization duration classifications (<8 d, 8-28 d,>28 d, and poor prognosis) were 0.67, 0.66 and 0.73 in the training set, and 0.68, 0.54 and 0.66 in the validation set, respectively. The DeLong test results showed that the combined model outperformed other models in hospitalization duration classification (validation set AUC, all P<0.05, Bonferroni correction). Kappa test results showed that the combined model achieved the highest consistency between predicted classifications and actual hospitalization classifications (K=0.615). Shape features, texture features and clinical features all contributed proportionally to the combined model. Conclusion: The combined model integrating radiomics features with clinical indicators can significantly enhance the predictive efficacy for the length of hospitalization in pneumonia patients.

Objective: To investigate the differences in resistance to chemical disinfectants between bacteriophage Phi-X174 and disinfection effect indicator microorganisms, Staphylococcus aureus and Escherichia coli. Methods: Three commonly used disinfectants, including chlorine-containing disinfectants, alcohol-based disinfectants and quaternary ammonium salt disinfectants, were selected to analyze the differences in resistance of phage Phi-X174, Staphylococcus aureus and Escherichia coli by using the quantitative sterilization test of suspension. Results: The 250 mg/L sodium dichloroisocyanurate solution treated for 10 minutes yielded log reduction values of 3.39, 7.25 and 7.37 against phage Phi-X174, Staphylococcus aureus and Escherichia coli respectively. The 40% ethanol for 1 minute yielded log reduction values of 0.03, 2.46 and 7.30 against phage Phi-X174, Staphylococcus aureus and Escherichia coli, respectively. The 100 mg/L benzalkonium chloride for 10 minutes yielded log reduction values of 1.41, 6.84 and 0.93 for phage Phi-X174, Staphylococcus aureus and Escherichia coli, respectively. Conclusion: Phage Phi-X174 has stronger resistance to chlorine-containing disinfectants and alcohol-based disinfectants than Escherichia coli and Staphylococcus aureus. Its resistance to quaternary ammonium salt disinfectants is between that of Staphylococcus aureus and Escherichia coli.