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In this study, Delphi method was used to conduct a questionnaire survey on 12 experts to determine the indicators system and the corresponding weight for early warning features of SARS-CoV-2 Omicron in Tianjin.The positive indexes of experts in three rounds of consultations were both 100%. The experts' authority coefficient was 0.79. The Kendall's W coordination coefficients were 0.375, 0.356 and 0.385 respectively (all P<0.05). The indicators system for early warning features of 2019-nCoV Omicron variant had 5 first-level indicators, 10 second-level indicators and 52 third-level indicators. The weight of each indicator was also determined.
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Humans , SARS-CoV-2 , Delphi Technique , COVID-19 , Surveys and QuestionnairesABSTRACT
Objective:The Meta-analysis was used to systematically evaluate the clinical efficacy of traditional Chinese medicine in treating Late onset hyponatremia （late onset hyponatremia，LOH）. Method:Pubmed，Web of Science，China Knowledge Base Database （CNKI），Wanfang Database （WanFang），Weipu Full-text Periodical Database（VIP），Chinese Biomedical Literature Database （CBM）were retrieved to collect randomized controlled trials of traditional Chinese medicine（TCM） for treatment of LOH. Two researchers independently screened out the literatures， extracted the data， conducted quality assessment by Cochrance bias risk assessment tool，and made Meta-analysis by RevMan 5.3.5 software. Result:Nine eligible documents were finally included. Meta-analysis results showed that the test group was superior to the control group in improving patient's physical fitness/cardiovascular score ［mean deviation（MD）=-1.42，95% CI（-2.39，-0.45），<italic>P</italic>=0.004］ and psycho-psychological score［MD=-0.74，95% CI（-1.26，-0.22），<italic>P</italic>=0.005］，with no statistically significant difference between test group and control group in sexual function score ［MD=-0.68，95% CI（-1.38，-0.03），<italic>P</italic>=0.06］，serum testosterone （TT） concentration［MD=-0.68，95% CI（-1.38，-0.03），<italic>P</italic>=0.06］ and effective rate ［odds ratio（OR）=1.57，95% CI（0.64，3.88），<italic>P</italic>=0.33］. Conclusion:TCM is equivalent to western medicine（testosterone undecanoate）in the treatment of late onset hypogonadism， and better than western medicine in improving patients' physical fitness/cardiovascular score and mental and psychological score.
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Objective To investigate the latent infection caused by enterovirus 71 (EV71) among healthy people in Tianjin and to provide evidence on prevention and control hand-food and mouth diseases (HFMD). Methods 1611 sera specimens were collected from healthy people in Tianjin while EV71 antibody was detected by neutralization test, and then the results were analyzed statistically. Results For determining positivity, the cut-point was set at 1:4. The positive rate was 66.79%( 1076/1611) for EV71 neutralizing antibody. The lowest positive rate was 32.71% in the 0-5 age group while the highest rate was 76.67% in the 16-25 age group. Significant difference was seen in the positive rates among different age groups. The lowest positive rate (59.05%) was seen in the city areas while the highest rate (72.35%) was seen in the surrounding counties. 5.71% of the people being tested showed their neutralizing antibody as ≥1:256. The difference was statistically significant on positive rates among different areas. We constructed logistic regression models with the EV71 neutralizing antibody positive rate as the dependent variable and age, sex, floating population, area etc. as independent variables. There appeared statistical significances in all the independent variables. Conclusion Age seemed a risk factor for recessive infection of EV71, and the neutralizing antibody against EV71 might not be kept permanently. In order to prevent and control the HFMD, more attention should be paid to the areas where more floating population were resided.
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Objective To evaluate the irnmunogenicity, safety and stability of the manufacture process regarding three consecutive lots of influenza split vaccines (Anflu ). Methods A double-blind, randomized and controlled clinical trial was conducted in healthy volunteers. A total of 566 subjects aged 18 to 60 years were recruited and stratified into four age groups before randomly assigned into four groups. Each group would receive one dose of influenza vaccine from either one of the three lots ofAnflu or one lot of the licensed control vaccine. Each dose of the vaccines contained 15 μg of each of the H1N1, H3N2 and B type antigen. Safety was assessed through 30-minute observation for immediate allergic reaction and three-day observation after vaccination. HI antibody titers were determined before vaccination and on day 21, after vaccination. Results Mild adverse reaction was reported and the overall incidence rates on fever of the four groups were from 1.4% to 2.8% but no significant difference was observed between groups. Seroconversion rates of the three viral strains in four groups were 80.3% and above with fold increase as≥11.1 and protection rate was≥93.4%. For the three lots of investigated vaccines, all of the indexes of the three viral strains in four groups exceeded the standards on EMEA and FDA for influenza vaccine. Conclusion The three consecutive lots of Anflu appeared to be good, with both consistent immunogenieity and safety, indicating the stability of manufacture process.
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<p><b>OBJECTIVE</b>To introduce the nature and its application of a multilevel model.</p><p><b>METHODS</b>Data was analyzed from a baseline survey of smoking behavior among middle school students sponsored by a WHO smoking controll project. Multilevel analysis was used on available data and to compare the results from logistic regression.</p><p><b>RESULTS</b>The outcomes of null multilevel model approved that there was hierarchical structure on data. The influencing factors of middle school students smoking appeared to be gender, age, attitude, environment and public education at schools. When the variable of public education by classes was not included, the standard errors by multilevel analysis became smaller than the corresponding standard errors through logistic regression method.</p><p><b>CONCLUSION</b>Multilevel model seemed a good method for analyzing data with hierarchical or cluster structure, it could be applied in stratified or cluster sampling of epidemiological or community-based investigation.</p>
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Humans , Models, Theoretical , Smoking , StudentsABSTRACT
<p><b>OBJECTIVE</b>To study the influencing factors of smoking among university students on individual and classes level by multilevel model and to identify high risk groups in order to develop pertinent prevention measures which can decrease smoking behavior among university students.</p><p><b>METHODS</b>Self-reported data on knowledge, attitude and behavior on smoking coming from a randomly clustered sampling of 24 classes in students from 12 universities in Tianjin.</p><p><b>RESULTS</b>Through analyses of 743 questionnaires from university students, we learned that the occasional smoking rate was 10.0% , the regular smoking rate was 7.4% and 5.9% had given up smoking. The influencing factors for students who smoked occasionally and regularily were gender (OR values were 0.243 and 0. 186), moods (OR values were 0.071 and 0.078) and environment (OR values were 2.722 and 19.075). Gender (OR value was 0. 180), age (OR value was 1.567), moods (OR value was 0.221) and environment (OR value was 2.776) had positive influences on students in giving up their smoking behavior.</p><p><b>CONCLUSION</b>According to the different status of university students, different measures should be taken to prevent smoking and to change thier smoking behavior.</p>