Objective:To study the results of detection of pulmonary nodules among military flying personnel and analyze the contributors to pulmonary nodules so as to provide data for early prevention and interventions.Methods:The physical examination data of 1 465 military flying personnel was retrospectively analyzed who had received the annual health checkup and undergone chest CT examinations at Lintong Rehabilitation and Recuperation Center. They were grouped by age (<40 years and ≥40 years), flying hour (<1 000 h and ≥1 000 h) and type of personnel [pilots and air support (technical) personnel]. The detection rates of pulmonary nodules among flying personnel were compared across groups, and a multivariate Logistic regression analysis was conducted to analyze the contributing factors to pulmonary nodules.Results:Among the 1 465 military flying personnel, 212 cases (14.47%) with pulmonary nodules were detected. A total of 230 pulmonary nodules were detected, including 35 pulmonary nodules (15.22%) in the left upper lung, 42 pulmonary nodules (18.26%) in the left lower lung, 52 pulmonary nodules (22.61%) in the right upper lung, 47 pulmonary nodules (20.43%) in the right middle lung, and 54 pulmonary nodules (23.48%) in the right lower lung. The detection rate of pulmonary nodules among military flying personnel in the ≥1 000 h group was higher than in the <1 000 h group, and the difference was statistically significant ( χ2=4.14, P=0.042). More pulmonary nodules were detected among military flying personnel who smoked than among those who did not, and the difference was statistically significant ( χ2=9.34, P=0.002). Age, types of personnel, body mass index, and complications with other lung diseases made no significant difference in the detection rate of pulmonary nodules (all P>0.05). Multivariate Logistic regression analysis showed that smoking was a risk factor for pulmonary nodules ( OR=1.692, 95% CI: 1.217-2.351). Conclusions:Among military flying personnel, pulmonary nodules are more likely to occur in the right lung. Smoking is an independent risk factor for pulmonary nodules, suggesting that routine chest CT screening should be carried out during the annual physical examinations of military flying personnel in order to exercise early interventions.

Objective:To study the results of detection of pulmonary nodules among military flying personnel and analyze the contributors to pulmonary nodules so as to provide data for early prevention and interventions.Methods:The physical examination data of 1 465 military flying personnel was retrospectively analyzed who had received the annual health checkup and undergone chest CT examinations at Lintong Rehabilitation and Recuperation Center. They were grouped by age (<40 years and ≥40 years), flying hour (<1 000 h and ≥1 000 h) and type of personnel [pilots and air support (technical) personnel]. The detection rates of pulmonary nodules among flying personnel were compared across groups, and a multivariate Logistic regression analysis was conducted to analyze the contributing factors to pulmonary nodules.Results:Among the 1 465 military flying personnel, 212 cases (14.47%) with pulmonary nodules were detected. A total of 230 pulmonary nodules were detected, including 35 pulmonary nodules (15.22%) in the left upper lung, 42 pulmonary nodules (18.26%) in the left lower lung, 52 pulmonary nodules (22.61%) in the right upper lung, 47 pulmonary nodules (20.43%) in the right middle lung, and 54 pulmonary nodules (23.48%) in the right lower lung. The detection rate of pulmonary nodules among military flying personnel in the ≥1 000 h group was higher than in the <1 000 h group, and the difference was statistically significant ( χ2=4.14, P=0.042). More pulmonary nodules were detected among military flying personnel who smoked than among those who did not, and the difference was statistically significant ( χ2=9.34, P=0.002). Age, types of personnel, body mass index, and complications with other lung diseases made no significant difference in the detection rate of pulmonary nodules (all P>0.05). Multivariate Logistic regression analysis showed that smoking was a risk factor for pulmonary nodules ( OR=1.692, 95% CI: 1.217-2.351). Conclusions:Among military flying personnel, pulmonary nodules are more likely to occur in the right lung. Smoking is an independent risk factor for pulmonary nodules, suggesting that routine chest CT screening should be carried out during the annual physical examinations of military flying personnel in order to exercise early interventions.

Objective To analyze the research status and trend of scarlet fever literature in China, and to provide reference for subsequent research. Methods Three major Chinese databases, CNKI, Wanfang, and VIP, as well as Web of Science English database, were used to search for literature related to scarlet fever from 2000 to 2023. Citespace6.2.R2 software was used to statistically analyze the number of publications, authors, institutions and journals, co-cited literature, keyword clustering, and other literature characteristics of the literature. Results From 2000 to 2023, a total of 1 011 Chinese literature were included in the three major Chinese databases. Since 2011, the number of publications had gradually increased, but in recent years, the number of publications had decreased. The organization with the most publications was the Shenyang Center for Disease Control and Prevention. The cluster analysis of key words mainly formed 9 cluster tags, and the high-frequency keywords mainly included epidemic characteristics, epidemiology, incidence rate, etc. A total of 84 English literature were included in the WOS database, with an overall upward trend in publication volume. The institution with the most publications was the China Center for Disease Control and Prevention, and the most frequently cited journal was ^“LANCET INFECT DIS^”.《Resurgence of scarlet fever in China: a 13-year population-based surveillance study》 was the most cited journal. After keyword cluster analysis, 9 cluster labels were mainly formed, and the keywords were mainly outbreak，Hong Kong, and Group A streptococcus. Conclusion Compared with the English literature, which mainly focuses on spatiotemporal aggregation, etiology and strain resistance, Chinese literature focuses more on epidemic surveillance, clinical features and quality nursing.

Objective To explore the research progress, research hotspot and development trend of tigecycline resistance based on the quantitative analysis and visualization function of CiteSpace. Methods The data were collected from 4,263 Chinese and English articles on tigecycline resistance in CNKI, Wanfang, VIP and Web of Science (WOS) databases from 2012 to 2022. CiteSpace 5.8.R3 software was used to analyze the cooperative network of authors, the cooperative network of countries and institutions, the total citation times of journals, and keywords included in the literature, to reveal the hotspots and trends of tigecycline resistance research. Results The number of articles published in English literature was higher than that in Chinese literature. China had the largest number of published documents, showing a significant international academic influence in this research field. Countries all over the world were concerned about the resistance of tigecycline, but Chinese literatures focused more on the clinical infection and prevention of tigecycline resistance, while English literatures placed special emphasis on the research about the drug resistance mechanism of tigecycline. Conclusion The research direction at home and abroad is basically the same, but the research focus has gradually shifted from the clinical treatment and monitoring of tigecycline to the molecular level of drug resistance mechanism.

Objective:To investigate the factors influencing fall risk scores in elderly individuals.Methods:A total of 4 419 individuals were randomly selected using the cluster sampling method from Beijing, Nanning(Guangxi), and Yinchuan(Ningxia).Data on demographic characteristics and fall-related incidents were gathered and analyzed for their correlation with fall risk scores.Results:The fall risk score showed significant associations with various factors, such as the history of falls within one year( β=-3.607, 95% CI: -3.881 to -3.332), care methods( β=2.442, 95% CI: 2.226 to 2.658), exercise( β=0.714, 95% CI: 0.443 to 0.986), retirement( β=-0.585, 95% CI: -0.819 to -0.351), age( β=0.173, 95% CI: 0.159 to 0.187), and use of walking aids( β=-3.737, 95% CI: -4.054 to -3.421). Conclusions:Fall risk scores in older adults are influenced by a variety of factors.Factors such as no history of falls within the past year, living independently, engaging in physical activity, and being employed may contribute to lower fall risk scores in older adults.