1.Influencing factors for cognitive function trajectories among the elderly
ZHANG Xixiaoxue ; WANG Xuechun ; LIU Liangying ; WU Wenjun ; MA Yu ; HE Yao ; LIU Miao
Journal of Preventive Medicine 2026;38(4):352-356
Objective:
To analyze the trajectories of cognitive function changes and their influencing factors among the elderly, so as to provide evidence for the prevention and intervention of cognitive impairment in this population.
Methods:
Data were obtained from the Chinese Longitudinal Healthy Longevity Survey (CLHLS), which was conducted in 2011, 2014, and 2018. Information on demographic characteristics and lifestyle behaviors of elderly individuals aged ≥65 years was collected. Cognitive function was assessed using the Mini-Mental State Examination (MMSE). Group-based trajectory modeling was conducted using MMSE scores from 2011, 2014, and 2018 to identify trajectories of cognitive function change. The optimal trajectory model was determined using the Bayesian information criterion, Akaike information criterion, and average posterior probability. Factors affecting cognitive function trajectories among the elderly were analyzed using a Multinomial logistic regression model.
Results:
Data were collected from 2 614 individuals, with the mean age of (78.20±8.93) years. There were 1 251 males (47.86%) and 1 363 females (52.14%). The group-based trajectory model identified three distinct cognitive function trajectories, defined as the stable group, slow decline group, and rapid decline group, consisting of 2 187 (83.66%), 170 (6.50%), and 257 (9.83%) individuals, respectively. Multinomial logistic regression analysis showed that compared with the stable group, each 1-year increase in age was associated with a 315.7% higher risk of being classified into the slowly declining group (OR=4.157, 95%CI: 2.922-5.914) and a 214.6% higher risk of being classified into the rapidly declining group (OR=3.146, 95%CI: 2.428-4.076). Compared with elderly individuals with no formal education, those with primary/junior high school education had a 67.5% lower risk of being classified into the slowly declining group (OR=0.325, 95%CI: 0.207-0.511) and a 30.2% lower risk of being classified into the rapidly declining group (OR=0.698, 95%CI: 0.505-0.964). Compared with unmarried/divorced/widowed elderly individuals, those who were married had a 31.0% lower risk of being classified into the rapid decline group (OR=0.690, 95%CI: 0.509-0.935).
Conclusions
Based on the CLHLS data, cognitive function trajectories among individuals aged ≥65 years were classified into three patterns: stable, slow decline, and rapid decline. Increased age was associated with a higher risk of cognitive decline, while higher educational level and being married demonstrated protective effects against cognitive deterioration.
2.Current status of book publishing in the field of biological weapons defense in China
Xuechun WANG ; Jiajun DU ; Xixiaoxue ZHANG ; Ting KAN ; Wenjun WU ; Yu MA ; Shanshan YANG ; Shengshu WANG ; Yao HE ; Miao LIU
Shanghai Journal of Preventive Medicine 2024;36(7):673-678
ObjectiveTo provide scientific support for the compilation of high-quality anti-nuclear, biological, and chemical (NBC) medical textbooks in China by retrieving books in the field of biological weapons defense in China, summarizing the publication time and distribution of publishing institutions, and categorizing content and key points of related books. MethodsRelevant subject terms in the field of biological weapons defense were searched through the official website of China National Digital Library and other websites, up until December 31, 2023, and were limited to books. Topic analysis was conducted on the introductions and contents of the books using the latent Dirichlet allocation (LDA) model. The number of topics was determined based on perplexity, and topics were identified according to the intertopic distance map, followed by a qualitative description of the core content of each topic. ResultsA total of 104 books were included in this study, among which four were identified as higher educational textbooks. The volume of publications increased during the periods 2002‒2004 and 2020‒2023. Research institutions accounted for the highest percentage of publishers (37.78%), and 56.67% of the publishers were military institutions. The study identified six topics: "distribution, defense, and response to biological weapons", "category, diagnosis, and treatment of biological warfare agents", "response to biological public health emergencies", "status of nuclear, biological, and chemical weapons internationally", "biosafety risk management and prevention and control", and "technologies and equipment related to biological hazard identification". ConclusionThere are few books in the field of biological weapons defense in China and the content is relatively outdated. In the future, the preparation of teaching materials should be aimed at practical emergency handling techniques for biological weapons, enhance the emphasis on biological weapons detection and biological warfare early warning, improve the fundamental theories at different training levels, and timely update the current research status in the field.
3.Potential applications of a compartment model in the prevention and control of emerging respiratory infectious diseases in military camps
Xuechun WANG ; Xixiaoxue ZHANG ; Shanshan YANG ; Miao LIU
Military Medical Sciences 2024;48(9):686-689
Military camps are characterized by compact space and high personnel density,which increases the risk of emerging respiratory infectious diseases and makes prevention and control difficult.One effective solution is to use a compartment model for early warning,prediction of epidemic outbreaks,and for optimization of precautions.Given the strong similarities in the transmission of emerging respiratory infectious diseases across military camps and communities,this article summarizes the cases where compartment models have been used both at home and abroad,constructs a susceptible-exposed-infectious-removed model and a susceptible-exposed-infectious-quarantined-removed model,and simulates the prediction of trends and selection of prevention and control measures in typical military camp scenarios after the outbreak of an epidemic in hopes of providing references for the prevention and control of emerging respiratory infectious diseases and for the construction of a regional intelligent early warning platform in military camps.


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