Objective: To understand the status and related factors of knowledge, attitude and practice (KAP) on vision health among young children s parents in Bao an District, Shenzhen, so as to provide reference for further controlling myopia and promoting children s visual health. Methods: From May 16th to 26th, 2024, a stratified cluster random sampling method was used to conduct an online questionnaire survey on 7 666 parents of kindergarten children across 41 kindergartens in a street of Bao an District, Shenzhen. The t-test, variance analysis and multiple linear regression analysis were used to analyze the related factors of KAP on vision health among children s parents. Results: The pass rates of parental vision KAP and overall assessment were 25.10%, 98.49 %, 71.18% and 58.26%, respectively. The results of the multiple linear regression analysis showed that only fathers with myopia, only mothers with myopia, both parents with myopia, children in the bottom classes, middle classes, senior classes, and pre school had higher standardized scores for KAP on vision health among parents ( β=0.08, 0.11, 0.16, 0.17, 0.16, 0.16, 0.05, P <0.05), compared to both parents without myopia and children in daycare classes. Parents of young children with myopia, and who didn t know their children s visual acuity and their own visual acuity had a lower KAP standardized scores ( β=-0.02, -0.04, -0.05 , P< 0.05). Conclusions Young children s parents in Bao an District hold a positive attitude towards vision health, but are lack of knowledge and practice. It is imperative to transmit accurate information and concepts about children s vision health to parents in a targeted manner. In particular, knowledge and guidance should be strengthened for children s parents.

Objective:To develop an integrated health management system based on wearable devices for conducting health management to discharged patients,so as to improve the lifestyle and medication compliance of patients with cardiovascular and cerebrovascular diseases,and control risk factors of disease,and maintain patients'safety.Methods:The wearable devices,mobile terminals,and hospital's medical information platform were systematically integrated to develop an integrated health management system.A total of 75 patients with cardiovascular and cerebrovascular diseases(coronary heart disease and hypertension)who admitted to the Department of Cardiovascular Medicine of The 940th Hospital of People's Liberation Army Joint Service Support Force during March 1 and April 1,2024 were selected,and they were randomly divided into an intervention group and a control group using the random number table method,with 38 cases in the intervention group and 37 cases in the control group.During the 6 months of intervention observation period after discharge,patients in the intervention group used the integrated health management system for self-health management,while the patients of control group were managed with the conventional mode.The rate of medication compliance,changes of health behaviors,and changes of measurement data of body between the two groups were compared after the intervention.Results:The smoking rate of patients in the intervention group was 18.42%(7/38),which was lower than 43.24%(16/37)of the control group,and the difference was statistically significant(x2=3.94,P<0.05).The average rate of medication compliance of patients in the intervention group was(89.00±2.39)%,which was higher than(84.8±2.37)%of the control group,and the difference was statistically significant(t=2.15,P<0.05).The increase in diastolic blood pressure of patients in the intervention group was(1.76±2.06)mmHg,which was lower than(3.05±1.94)mmHg of the control group,and the difference was statistically significant(t=2.49,P<0.05).Conclusion:The integrated health management system based on wearable devices is effective for the self-management of patients with cardiovascular and cerebrovascular diseases,and it has a good effect in controlling the level of blood pressure,improving behavioral habits,and enhancing medication compliance of patients.

Objective:To investigate the relationship between different types of tea intake and COVID-19 infection.Methods:Data were retrieved from a genome-wide association study(GWAS),involving 447 485,and 64 949 people for single nucleotide polymorphisms(SNPs).Two-sample Mendelian randomization(MR)analysis was used to investigate the relationship of different types of tea intake with four subgroups of COVID-19 infected population,including COVID-19 infected population versus general population,COVID-19 hospitalized population versus general population,COVID-19 hospitalized population versus non-hospitalized population,and very severe respiratory confirmed population versus general population.Inverse-variance weighted(IVW)method was used as the main method of causal analysis.MR Egger intercept was used for pleiotropy test,and Cochran's Q-statistic was used for heterogeneity test.Results:Compared to the general population,tea intake decreased the incidence of COVID-19 in the infection population(IVW method,OR=0.806,95%CI:0.651-0.999),and the hospitalized population(IVW method,OR=0.533,95%CI:0.369-0.770).Additionally,the underlying pleiotropy was not found following the MR-Egger regression intercept(MR intercept=-0.002,P=0.667),and the Cochran's Q-statistic showed no heterogeneity(Q-statistic=52.712,P=0.057).Compared to the general population,the underlying pleiotropy in the hospitalized patients was not found by MR-Egger regression intercept(MR intercept=-0.001,P=0.909),and the Cochran's Q-statistic showed no heterogeneity(Q-statistic=25.214,P=0.945).However,green tea and herbal tea had no effect on COVID-19 infection.Conclusions:Overall tea intake reduces the risk of COVID-19 infection in the general population compared to COVID-19 infected and hospitalized populations,while green tea and herbal tea have no protective effect against COVID-19 infection.

Objective:To investigate the relationship between different types of tea intake and COVID-19 infection.Methods:Data were retrieved from a genome-wide association study(GWAS),involving 447 485,and 64 949 people for single nucleotide polymorphisms(SNPs).Two-sample Mendelian randomization(MR)analysis was used to investigate the relationship of different types of tea intake with four subgroups of COVID-19 infected population,including COVID-19 infected population versus general population,COVID-19 hospitalized population versus general population,COVID-19 hospitalized population versus non-hospitalized population,and very severe respiratory confirmed population versus general population.Inverse-variance weighted(IVW)method was used as the main method of causal analysis.MR Egger intercept was used for pleiotropy test,and Cochran's Q-statistic was used for heterogeneity test.Results:Compared to the general population,tea intake decreased the incidence of COVID-19 in the infection population(IVW method,OR=0.806,95%CI:0.651-0.999),and the hospitalized population(IVW method,OR=0.533,95%CI:0.369-0.770).Additionally,the underlying pleiotropy was not found following the MR-Egger regression intercept(MR intercept=-0.002,P=0.667),and the Cochran's Q-statistic showed no heterogeneity(Q-statistic=52.712,P=0.057).Compared to the general population,the underlying pleiotropy in the hospitalized patients was not found by MR-Egger regression intercept(MR intercept=-0.001,P=0.909),and the Cochran's Q-statistic showed no heterogeneity(Q-statistic=25.214,P=0.945).However,green tea and herbal tea had no effect on COVID-19 infection.Conclusions:Overall tea intake reduces the risk of COVID-19 infection in the general population compared to COVID-19 infected and hospitalized populations,while green tea and herbal tea have no protective effect against COVID-19 infection.

Objective:To develop an integrated health management system based on wearable devices for conducting health management to discharged patients,so as to improve the lifestyle and medication compliance of patients with cardiovascular and cerebrovascular diseases,and control risk factors of disease,and maintain patients'safety.Methods:The wearable devices,mobile terminals,and hospital's medical information platform were systematically integrated to develop an integrated health management system.A total of 75 patients with cardiovascular and cerebrovascular diseases(coronary heart disease and hypertension)who admitted to the Department of Cardiovascular Medicine of The 940th Hospital of People's Liberation Army Joint Service Support Force during March 1 and April 1,2024 were selected,and they were randomly divided into an intervention group and a control group using the random number table method,with 38 cases in the intervention group and 37 cases in the control group.During the 6 months of intervention observation period after discharge,patients in the intervention group used the integrated health management system for self-health management,while the patients of control group were managed with the conventional mode.The rate of medication compliance,changes of health behaviors,and changes of measurement data of body between the two groups were compared after the intervention.Results:The smoking rate of patients in the intervention group was 18.42%(7/38),which was lower than 43.24%(16/37)of the control group,and the difference was statistically significant(x2=3.94,P<0.05).The average rate of medication compliance of patients in the intervention group was(89.00±2.39)%,which was higher than(84.8±2.37)%of the control group,and the difference was statistically significant(t=2.15,P<0.05).The increase in diastolic blood pressure of patients in the intervention group was(1.76±2.06)mmHg,which was lower than(3.05±1.94)mmHg of the control group,and the difference was statistically significant(t=2.49,P<0.05).Conclusion:The integrated health management system based on wearable devices is effective for the self-management of patients with cardiovascular and cerebrovascular diseases,and it has a good effect in controlling the level of blood pressure,improving behavioral habits,and enhancing medication compliance of patients.

Purpose: The purpose of this study was to use data mining methods to establish a simple and reliable predictive model based on the risk factors related to gallbladder stones (GS) to assist in their diagnosis and reduce medical costs. Materials and Methods: This was a retrospective cross-sectional study. A total of 4215 participants underwent annual health examinations between January 2019 and December 2019 at the Physical Examination Center of Shengjing Hospital Affiliated to China Medical University. After rigorous data screening, the records of 2105 medical examiners were included for the construction of J48, multilayer perceptron (MLP), Bayes Net, and Naïve Bayes algorithms. A ten-fold cross-validation method was used to verify the recognition model and determine the best classification algorithm for GS. Results: The performance of these models was evaluated using metrics of accuracy, precision, recall, F-measure, and area under the receiver operating characteristic curve. Comparison of the F-measure for each algorithm revealed that the F-measure values for MLP and J48 (0.867 and 0.858, respectively) were not statistically significantly different (p>0.05), although they were significantly higher than the F-measure values for Bayes Net and Naïve Bayes (0.824 and 0.831, respectively; p<0.05). Conclusion The results of this study showed that MLP and J48 algorithms are effective at screening individuals for the risk of GS.The key attributes of data mining can further promote the prevention of GS through targeted community intervention, improve the outcome of GS, and reduce the burden on the medical system.

【Objective】 To learn the production efficient of platelet components among prefecture-level blood stations in China, to provide supporting data for those blood stations to optimize the production mode of platelet components and continuously improve production efficiency and supply capacity. 【Methods】 The data from 2017 to 2020 was obtained from 24 prefecture-level blood stations who were the members of the practice comparison network for blood institutes in China. The collection units of apheresis platelets, the number of dual-collections of apheresis platelets and plasma, the average apheresis units of one platelet apheresis procedure, the discarded rate of apheresis platelets, the amount of expired apheresis platelets and the amount of apheresis platelets issued were collected. For concentrated platelets, the prepared amount of platelet concentrates and the amount of expired platelet concentrates were collected; both the quantity of qualified and issued concentrated platelets were submitted for statistical analysis.The total output and efficiency of platelet components were calculated based on the collected data. 【Results】 The average annual growth rate of apheresis platelets collection in 24 prefecture-level blood stations was 12.23%, accounting for 99.80% of the total platelet output; the average collection unit of one platelets apheresis procedure was 1.75; from 2019 to 2020, only 5 blood stations performed dual-collection of platelet and plasma during one apheresis procedure; the discarded rate of apheresis platelets was 0.28%, of which 0.007% was due to expiration. A total of 1 621.2 therapeutic units of concentrated platelets were prepared, and 13.03% of them was discarded due to the expiration. The production efficiency of platelet components was 97.56%, of which the production efficiency of apheresis platelets was 97.61% and the production efficiency of concentrated platelets was 74.43%. 【Conclusion】 There are large regional differences in the supply capacity of platelet components in prefecture-level blood stations. Apheresis platelets are the main resource of platelet components product, and the collection capacity is increasing over the years with the characteristics of high production efficiency and low expiration scrapping rate. However, the preparation of concentrated platelets are still limited with relatively low production and high expiration discarded rate.

COVID-19 has swept globally and Pakistan is no exception.To investigate the initial introductions and transmissions of the SARS-CoV-2 in Pakistan,we performed the largest genomic epidemiology study of COVID-19 in Pakistan and generated 150 complete SARS-CoV-2 genome sequences from samples collected from March 16 to June 1,2020.We identified a total of 347 mutated positions,31 of which were over-represented in Pakistan.Meanwhile,we found over 1000 intra-host single-nucleotide variants(iSNVs).Several of them occurred concurrently,indicating possible interactions among them or coevolution.Some of the high-frequency iSNVs in Pakistan were not observed in the global population,suggesting strong purifying selections.The genomic epidemiology revealed five distinctive spreading clusters.The largest cluster consisted of 74 viruses which were derived from different geographic locations of Pakistan and formed a deep hierarchical structure,indicating an extensive and persistent nation-wide transmission of the virus that was probably attributed to a signature mutation(G8371T in ORF 1ab)of this cluster.Further-more,28 putative international introductions were identified,several of which are consistent with the epidemiological investigations.In all,this study has inferred the possible pathways of introduc-tions and transmissions of SARS-CoV-2 in Pakistan,which could aid ongoing and future viral surveillance and COVID-19 control.

On January 22, 2020, China National Center for Bioinformation (CNCB) released the 2019 Novel Coronavirus Resource (2019nCoVR), an open-access information resource for the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). 2019nCoVR features a comprehensive integra-tion of sequence and clinical information for all publicly available SARS-CoV-2 isolates, which are manually curated with value-added annotations and quality evaluated by an automated in-house pipeline. Of particular note, 2019nCoVR offers systematic analyses to generate a dynamic landscape of SARS-CoV-2 genomic variations at a global scale. It provides all identified variants and their detailed statistics for each virus isolate, and congregates the quality score, functional annotation,and population frequency for each variant. Spatiotemporal change for each variant can be visualized and historical viral haplotype network maps for the course of the outbreak are also generated based on all complete and high-quality genomes available. Moreover, 2019nCoVR provides a full collection of SARS-CoV-2 relevant literature on the coronavirus disease 2019 (COVID-19), including published papers from PubMed as well as preprints from services such as bioRxiv and medRxiv through Europe PMC. Furthermore, by linking with relevant databases in CNCB, 2019nCoVR offers data submission services for raw sequence reads and assembled genomes, and data sharing with NCBI. Collectively, SARS-CoV-2 is updated daily to collect the latest information on genome sequences, variants, hap-lotypes, and literature for a timely reflection, making 2019nCoVR a valuable resource for the global research community. 2019nCoVR is accessible at https://bigd.big.ac.cn/ncov/.

Objective To investigate the high risk factors for wheezing of low birth weight premature infants with wheezing.Methods A cohort study of 143 premature infants,whose gestation less than 37 weeks and birth weight less than 2 500 g,were collected from Neonatal Intensive Care Unit of Kunming Children's Hospital,from December 2012 to November 2013.Follow-up investigation was conducted,and those with wheezing were enrolled in the study.Many possible factors causing wheezing were analyzed,such as general conditions in the neonatal period,family conditions,and treatment.SPSS 17.0 statistical software was used to analyze the data.Single factor analysis was used by x2 test and rank sum test to evaluate the possible risk factors.Multiple factors analysis was made by Logistic regression analysis.P ＜ 0.05 was viewed as having statistical difference.Results (1) The risk factors for wheezing in the premature infants were:continuous positive airway pressure (CPAP) noninvasive ventilation (x2 =8.531,P =0.003),ventilation (x2 =4.800,P =0.028),caesarean section (x2 =6.787,P =0.009),the use of pulmonary surfactant (x2 =5.455,P =0.020),using antibiotics used at hospital (x2 =5.192,P =0.023),father smoking(x2 =5.406,P =0.020),maternal smoking (x2 =8.531,P =0.003),maternal allergic history (x2 =8.297,P =0.004),compatriot history of allergies (x2 =8.297,P =0.004) or asthma (x2 =9.774,P =0.002),family environment with dust and excitant gas (x2 =12.831,P =0.000) were the risk factors for the wheezing in the low birth weight premature infants.(2)Multi-factor classification Logistic regression analysis showed that CPAP (OR =58.414,95 ％ CI:3.317-1 028.646,P =0.005),mother smoking during pregnancy (OR =11.953,95 ％ CI:1.309-109.120,P =0.028),compatriot history of allergies (OR=135.769,95％ CI:4.914-3 751.419,P =0.004),family environment(OR =83.738,95％ CI:4.416-1 587.982,P =0.003),were independent risk factors for wheezing in low birth weight premature infants;natural labor was protective factor for wheezing in low birth weight premature infants (OR =0.045,95％ CI:0.004-0.574,P =0.017).(3)The sensitivity and specificity of risk factors were analyzed.The highest sensitivity was estimated for the father's history of allergy(83.3％).The highest specificity was estimated for the use of antibiotics at hospital (76.7％).Conclusions The study shows that CPAP noninvasive ventilation,mother smoking during pregnancy,allergy history of their brothers and sisters,family environment with dust and excitant gas are independent risk factors for wheezing in the low birth weight premature infants.There is no single risk factor with both high sensitivity and high specificity.