Objective: To explore the relationship between visual acuity and physical fitness of university freshmen, so as to provide reference for myopia prevention and control for freshmen. Methods: From October to November 2022, 2 160 college freshman without majoring in public safety administration, selected from Guangxi Police College in 2022 by using the stratified cluster random sampling method, were reviewed for the results of visual acuity test and physical fitness scores. The physical fitness indices were evaluated by using the Z scores of physical fitness test scores, and the strength of association between the level of physical fitness index and myopia was analyzed by using Logistic regression model. Results: Among 2 160 college freshman without majoring in public safety administration, 917 (42.5%) students were diagnosed screening myopia, including 66 (3.1%) cases of high myopia, 383 (17.7%) cases of moderate myopia and 468 (21.7%) cases of mild myopia. The differences in the distribution of visual acuity tests among students with different physical fitness indices, body mass index, and gender were statistically significant ( Z/H=54.50, 49.53, 15.51, P <0.01). Low level and low middle level physical fitness indices were associated with screening myopia among freshmen[ OR (95% CI )=2.81(1.93-4.08),1.87(1.38-2.54)], and low level physical fitness indexes were associated with high myopia [ OR (95% CI )=7.22(2.33-22.32)] ( P <0.01). Conclusions Screening myopia among college freshman without majoring in public safety administration is related to physical fitness, and low level and low middle level physical fitness index are risk factors for myopia. Improving the level of physical fitness might be effective in preventing myopia.

Objective:To explore the rehabilitation effect of multi-factor intervention based on the Finnish model of prevention of cognitive impairment in the elderly on patients with cognitive impairment after first-episode stroke, and to provide reference for rehabilitation nursing of cognitive impairment after stroke.Methods:The quasi-experiment research scheme was adopted and convenience sampling method was used to select participants with first-episode stroke cognitive impairment hospitalized in the General Hospital of Tianjin Medical University Airport Site. The 50 patients admitted from January to June 2022 were selected as the control group, and 50 patients admitted from July to December 2022 were selected as the intervention group. The control group received routine rehabilitation nursing and health education, and the intervention group received the Finnish model of prevention of cognitive impairment in the elderly on patients before discharge on the basis of the control group. The Mini-Mental State Examination (MMSE) and Health Education Compliance Assessment Scale for Stroke Patients were used to evaluate the changes of overall cognitive function and rehabilitation compliance before intervention, 3 and 6 months after intervention.Results:The final control group included 49 cases, including 35 males and 14 females, aged (64.67 ± 7.47) years old; the intervention group included 50 cases, 32 males and 18 females, aged (66.68 ± 8.75) years old. Before intervention, there were no significant differences in overall cognitive function and compliance of rehabilitation score ( P>0.05). At 3 and 6 months after intervention, the overall cognitive function score, the total score on compliance of rehabilitation, dimension scores of diet compliance, exercise rehabilitation compliance and health behavior compliance of the intervention group were (26.36±2.36) , (125.96 ± 13.80) , (23.30 ± 5.26) , (27.72 ± 4.46) , (43.66 ± 6.80) and (27.26 ± 3.71) , (152.44 ± 9.06) , (30.12 ± 6.42) , (33.32 ± 3.02) , (52.36 ± 4.70) , respectively. They were higher than the control group (24.04 ± 4.50) , (116.67 ± 10.26) , (19.31 ± 3.95) , (25.29 ± 3.45) , (40.59 ± 4.33) and (24.27 ± 4.33) , (138.92 ± 16.71) , (24.20 ± 4.48) , (30.00 ± 5.53) , (47.65 ± 8.03) , and the differences had statistical significance ( t values were -5.31- -2.67, all P<0.05). According to the variance analysis of repeated measurement, intergroup and time factor, the interaction between groups and time had significant impact on general cognitive function score, the total score of rehabilitation compliance, the dimension scores of diet, exercise rehabilitation and health behavior compliance ( Fgroup values were 8.33-18.08, Ftime values were 135.71-944.69, Finteraction values were 5.46-27.30, all P<0.05) . Time factor had significant impact on patient medication adherence score ( Ftime=206.23, P<0.05) . Conclusions:Multi-factor intervention based on the Finnish model of prevention of cognitive impairment in the elderly can improve the overall cognitive function and rehabilitation compliance of patients with cognitive impairment after first-episode stroke.

Background Bacteria are the most diverse and widely sourced microorganisms in the indoor air of subway stations, where pathogenic bacteria can spread through the air, leading to increased health risks. Objective To understand the status and distribution characteristics of indoor air bacterial pollution in subway stations and compartments in a city of Central South China, and to provide a scientific basis for formulating intervention measures to address indoor air bacteria pollution in subways. Methods Three subway stations and the compartments of trains parking there in a city in Central South China were selected according to passenger flow for synchronous air sampling and monitoring. Temperature, humidity, wind speed, carbon dioxide (CO₂), fine particulate matter (PM_2.5), and inhalable particulate matter (PM₁₀) were measured by direct reading method. In accordance with the requirements of Examination methods for public places-Part 3: Airborne microorganisms (GB/T 18204.3-2013), air samples were collected at a flow rate of 28.3 L·min⁻¹, and total bacterial count was estimated. Bacterial microbial species were identified with a mass spectrometer and pathogenic bacteria were distinguished from non-pathogenic bacteria according to the Catalogue of pathogenic microorganisms transmitted to human beings issued by National Health Commission. Kruskal-Wallis H test was used to compare the subway hygiene indicators in different regions and time periods, and Bonferroni test was used for pairwise comparison. Spearman correlation test was used to evaluate the correlation between CO₂ concentration and total bacterial count. Results The pass rates were 100.0% for airborne total bacteria count, PM_2.5, and PM₁₀ in the subway stations and train compartments, 94.4% for temperature and wind speed, 98.6% for CO₂, but 0% for humidity. The overall median (P₂₅, P₇₅) total bacteria count was 177 (138,262) CFU·m⁻³. Specifically, the total bacteria count was higher in station halls than in platforms, and higher during morning peak hours than during evening peak hours (P<0.05). A total of 874 strains and 82 species were identified by automatic microbial mass spectrometry. The results of identification were all over 9 points, and the predominant bacteria in the air were Micrococcus luteus (52.2%) and Staphylococcus hominis (9.8%). Three pathogens, Acinetobacter baumannii (0.3%), Corynebacterium striatum (0.1%), and Staphylococcus epidermidis bacilli (2.2%) were detected in 23 samples (2.6%), and the associated locations were mainly distributed in train compartments during evening rush hours. Conclusion The total bacteria count in indoor air varies by monitoring sites of subway stations and time periods, and there is a risk of opportunistic bacterial infection. Attention should be paid to cleaning and disinfection during peak passenger flow hours in all areas.

Lipid Droplets/metabolism* ; Bacteria ; Lipid Metabolism

Objective:To investigate the impact of human epidermal growth factor receptor 2 (HER2) and C-reactive protein/albumin ratio (CAR) on the long-term survival of gastric cancer patients after surgery.Methods:A retrospective analysis was conducted on 136 gastric cancer patients admitted to Lishui Central Hospital from January 2015 to December 2017, who underwent radical surgery and were followed up for 5 years. Patients were divided into HER2 positive and HER2 negative groups based on HER2 immunohistochemical results, and into high CAR and low CAR groups based on the CAR mean value. The relationship between HER2 and CAR with clinicopathological characteristics of gastric cancer patients was analyzed. The postoperative tumor-free survival rate and overall survival rate were compared between the two groups of patients (HER2 positive group and HER2 negative group, as well as high CAR group and low CAR group). Cox regression analysis was used to identify independent prognostic factors for postoperative tumor recurrence, metastasis, and death in gastric cancer patients.Results:The proportion of HER2 positive patients with large tumor size, low differentiation, T 3-4 tumor invasion depth, lymph node metastasis, and vascular invasion was significantly higher than that of HER2 negative patients (all P<0.05). The proportion of high CAR patients with large tumor size, low differentiation, T 3-4 tumor invasion depth, lymph node metastasis, and vascular invasion was significantly higher than that of low CAR patients (all P<0.05). Kaplan-Meier survival analysis showed that HER2 negative patients had significantly higher 1-year, 3-year, and 5-year cumulative tumor-free survival rate and overall survival rate than HER2 positive patients, while low CAR patients had significantly higher 1-year, 3-year, and 5-year cumulative tumor-free survival rate and overall survival rate than high CAR patients (all P<0.05). Multivariate Cox regression analysis identified T 3-4 tumor invasion depth, lymph node metastasis, HER2 positivity, and high CAR expression as independent prognostic factors for postoperative tumor recurrence, metastasis, and death in gastric cancer patients (all P<0.05). HER2 positive gastric cancer patients had a 1.895-fold higher risk of postoperative tumor recurrence and metastasis than HER2 negative patients ( HR: 1.895, 95% CI: 1.245-4.229, P=0.034), while high CAR gastric cancer patients had a 1.769-fold higher risk of postoperative tumor recurrence and metastasis than low CAR patients ( HR: 1.769, 95% CI: 1.433-3.959, P=0.039). HER2 positive gastric cancer patients had a 2.145-fold higher risk of postoperative death than HER2 negative patients ( HR: 2.145, 95% CI: 1.378-4.589, P=0.028), while high CAR gastric cancer patients had a 1.926-fold higher risk of postoperative death than low CAR patients ( HR: 1.926, 95% CI: 1.564-3.853, P=0.025). Conclusions:HER2 and CAR are independent prognostic factors for postoperative tumor recurrence, metastasis, and death in gastric cancer patients. Gastric cancer patients with HER2 positivity and high CAR have a higher risk of postoperative tumor recurrence, metastasis, and death. This study has some limitations due to its small sample size and single-center design, which may introduce some bias. Future multicenter and large-scale studies are needed to confirm the results of this study.

Objective:To retrieve the relevant evidence of the application of virtual reality technology in the cognitive rehabilitation of stroke patients and conduct evaluation and summary of the evidence to provide a reference for formulating norms of cognitive rehabilitation of stroke based on virtual reality technology.Methods:Using evidence-based nursing methods, according to the "6S" model system to search guidelines, expert consensus, random controlled trail (RCT) , systematic reviews and other evidence of the use of virtual reality technology in the cognitive rehabilitation training of stroke patients on United States National Guidelines Network, National Institute for Health and Care Excellence, Registered Nurses' Association of Ontario, Scottish Intercollegiate Guidelines Network, Cochrane Library, Joanna Briggs Institute (JBI) Evidence-Based Health Care Database, PubMed, Web of Science, Springerlink, Science Direct, National Stroke Foundation, China Guidance Network, Medlive, CNKI, Wanfang Database and VIP Database. The retrieval period was from January 2015 to December 2020. Using Appraisal of Guidelines for Research and Evaluation Ⅱ (AGREE Ⅱ) , Assessment of Multiple Systematic Reviews 2 (AMSTAR 2) and JBI literature quality evaluation tools, two researchers independently evaluated the quality of the literature and the level of evidence.Results:Finally, 17 articles were included, including 6 guidelines, 4 systematic reviews and 7 RCT studies, summarizing 20 evidences of the application of virtual reality technology in cognitive rehabilitation of stroke patients.Conclusions:This research has initially formed a summary and evaluation of the evidence for the application of virtual reality technology in cognitive rehabilitation of stroke patients, in order to provide a reference for the formulation of practical norms of cognitive rehabilitation technology based on virtual reality and improve the effect of cognitive rehabilitation for stroke patients.

Objective:To measure the cost efficiency and its components of 141 public tertiary hospitals of China and measure the influencing factors.Methods:COST, CCR and BCC model of DEA were used to measure the cost efficiency, allocative efficiency, technical efficiency, pure technical efficiency and scale efficiency.Results:In 2018, the values of cost efficiency, allocative efficiency, technical efficiency, pure technical efficiency, scale efficiency of the sample hospitals were 0.632, 0.929, 0.675, 0.732 and 0.917 respectively. 10(7.09%)sample hospitals were in the state of constant returns to scale, 41(29.08%)sample hospitals were in a state of decreasing returns to scale, while 90(63.83%)sample hospitals were in a state of increasing returns to scale. The regional GDP per capita and the bed utilization rate, average hospitalization days, average charge per output of hospital had significant impacts on the cost efficiency.Conclusions:Technical efficiency is the main factor affecting cost efficiency, and pure technical efficiency is the key factor for technical efficiency. Continuously improving the internal management level of the hospital is the main and necessary approach to enhance the technical efficiency of public tertiary hospitals. Internal factors have greater impacts on the efficiency of the sample hospitals. Reducing the average length of stay, increasing the utilization rate of beds and reducing the average charge level per outpatient can improve the cost efficiency of the hospitals.

Objective:With Diagnosis related groups(DRG)indicator introduced into the hospital efficiency evaluation, to analyze the adjustment effect of DRG on the efficiency value, and to compare the similarities and differences between the DEA efficiency value and the DRG efficiency indicator.Methods:The DRG pilot data in 2017 and 2018 of tertiary hospitals in Hubei province and related data from other reports were collected. Indicators including the actual number of beds, the number of employees, the actual total bed days occupied, and medical income were used as input indicators, and total admissions, number of discharges, weight of DRG and number of DRG groups were used as output indicators. 7 models were constructed using different indicator combinations. The efficiency of the hospital was calculated by the Bootstrap-DEA efficiency evaluation method. The relationship between hospital attributes and efficiency was analyzed by a generalized linear model.Results:There was an abnormal phenomenon that the higher the hospital level, the lower the efficiency in the efficiency value calculated by the traditional method. The efficiency values of county hospitals, city hospitals and provincial hospitals were 0.83, 0.74 and 0.71, respectively( P<0.01). DRG weight and group number were used as output for DEA analysis, and the efficiency values of county hospitals, city hospitals, and provincial hospitals were 0.95, 0.95 and 0.96( P=0.20)respectively. The DRG efficiency indications of county hospitals, city hospitals and provincial hospitals were 1.42, 1.11, 1.00 respectively( P<0.01). The higher the level, the lower the efficiency, while the efficiency values calculated by DEA were 0.84, 0.82, 0.86, respectively( P=0.58). Conclusions:The efficiency value calculated by the traditional method presents a systematic bias, which could be corrected effectively when DEA analysis using DRG weights is used as output indicator. The results developed new ideas of efficiency analysis for hospitals practicing DRG management.

Objective:To quantitatively measure the level of hospital human resources management of public hospitals in China with D-CHMS.Methods:From January through December of 2019, the Development Chinese Hospital Management Survey(D-CHMS)was used in field survey of relevant personnel of 36 tertiary general hospitals and 27 secondary general hospitals, with 10 persons chosen from each hospital. Survey data were subject to descriptive analysis and t test, for quantitative measurement of the human resources management level of these sample hospitals. Results:The level of human resources management in Chinese public hospitals was on the low side, as seven secondary dimensions scored 2.94 in average. To name a few, talents retention and talents recruitment scored the lowest, being (2.13±0.29) and (2.90±0.63) respectively. Tertiary hospitals presented an obviously better performance than secondary hospitals in incentives for best performers, talents retention and recruitment. Human resources management level of hospitals in China′s west regions scored the highest, followed by those in the east regions.Conclusions:Public hospitals in China, especially secondary hospitals were expected to enhance their human resources management. Approaches recommended include building a talent pool, developing a series of preferential policies, building development platforms, optimizing performance appraisal, motivating remuneration schemes, and offering unique employee value propositions, which serve to recruit and retain talents.

Objective:To develop a new kind of efficiency-based hospital ranking based on existing major hospital rankings with reference to hospital input data.Methods:DEA method was called into play and built five models for hospital ranking according to the efficiency value so calculated. The hospital beds available and the number of employees of 59 general hospitals in 2018 were used as the input indicators, and China′s Best Hospitals ranking by Fudan University′s Hospital Management Institute(Fudan ranking)and the total scoring and individual items evaluation from China Hospital STEM ranking by the Medical Information Institute of the Chinese Academy of Medical Sciences were used as the output indicators.Results:The correlation coefficients between hospital beds and the scores from Fudan-rankings and STEM-ranking were 0.08 and 0.09 respectively( P>0.05), and the correlation coefficients between personnel and scores from the two rankings were 0.34 and 0.39 respectively( P<0.01). The correlation coefficients of the efficiency values of the five super-efficiency DEA models and the beds were 0.37, -0.61, -0.71, -0.61 and-0.61 respectively( P<0.01), and the correlation coefficients of personnel were-0.17, -0.37, -0.60, -0.39 and -0.39( P<0.01)respectively. Compared with the original ranking, the ranking of the efficiency value of the super-efficiency DEA model found the average ranking of hospitals in Beijing and Shanghai rose by 6.38 places, and the ranking of hospitals in non-Beijing and Shanghai areas dropped by 4.37 places on average. The difference was statistically significant( P=0.02), and other differences in the ranking of different types hospitals were not statistically significant. Conclusions:Thanks to the super-efficiency DEA efficiency value which is added with such input indicators as hospital beds and personnel, the ranking becomes more scientific and comprehensive. The research results can provide references for more rational patient flow and encourage hospitals onto a more healthy development pathway.