1.Clinical efficacy of sequential psychotherapy combined with selective serotonin reuptake inhibitors on refractory obsessive-compulsive disorder
Chaoyun ZHOU ; Deqin GENG ; Weiwei SHA ; Xiaobin ZHANG ; Xiaoxing DONG ; Cailong FANG
Chinese Journal of Behavioral Medicine and Brain Science 2010;19(12):1066-1068
Objective To evaluate the efficacy of sequential psychotherapy combined with selective serotonin reuptake inhibitors(SSRI) s on refractory obsessive-compulsive disorder(OCD). Methods 50 patients with refractory OCD were given to sequential psycho therapy in the original basis of the SSRIs drugs treatment. The patients were given psychoanalysis,cognitive behavioral therapy and reality therapy for 8 weeks at the end of in the first stage, second stage and the third stage. The efficacy was assessed by the Yale-Brown Obsessive Compulsive Scale(Y-BOCS) before treatment,8 weeks, 16 weeks, and 24 weeks after treatment, respectively. Results The total score of the YBOCS before the treatment and at the 24th week after treatment was (21.10 ±4.69) and ( 10.18±6. 14). According to the score-reducing rate of the YBOCS , recovery rate was 34.0%, effective rate was 42.0%. Conclusion Sequential psychotherapy combined with SSRIs is an effective treatment for refractory OCD.
2.Ethical and psychological issues of surrogacy
Sichuan Mental Health 2021;34(2):101-105
The purpose of this article is to discuss the ethical and psychological issues of surrogacy. A lot of psychological issues will arise as a result of the many complicated and controversial difficulties in law, science, morality and public policy, and therefore a study of the ethical and psychological issues of surrogacy will contribute to a better understanding and management of these issues.
3.Evaluation of problem-based learning combined with scene simulation in cardiopulmonary resuscitation teaching of standardized training of general practitioner
Shuo CHEN ; Ji ZHOU ; Chaoyun ZHU ; Shengqiang ZOU
Chinese Journal of Medical Education Research 2020;19(5):598-601
Objective:To evaluate the effect of problem-based learning (PBL) combined with scene simulation in the cardiopulmonary resuscitation (CPR) teaching of standardized training of general practitioner, and explore a high-quality teaching method that will help students develop their clinical thinking and practical skills.Methods:Forty students of the Grade 2018 general practitioner training program in Yixing Hospital Affiliated to Jiangsu University were randomly divided into experimental group ( n=20) given PBL combined with scene simulation teaching method and control group ( n=20) given traditional teaching method. The pre-class preparation, classroom discussions, actual combat simulations, and analysis and summary were conducted in the experimental group (4-hour CPR training), while classroom teaching, teaching rounds, analysis and discussion, skills training were conducted in the control group (4-hour CPR training). Furthermore, both groups received the same theoretical test, skill assessment, and questionnaires. t-test or chis-quare test was performed for comparison between the two groups using SPSS 18.0. Results:The average score of theoretical test in the experimental group was significantly higher than that in the control group [(87.5±4.3) vs. (81.2±4.7), P<0.05]; the average score of the skill assessment in the experimental group was significantly higher than that in the control group [(91.0±1.5) vs. (83.1±1.8), P<0.05]. The questionnaire survey showed more students of the experimental group who reported greater improvement in their abilities than those of the control group ( P<0.05). Conclusion:PBL combined with scene simulation teaching method can effectively improve the quality of CPR teaching for standardized training of general practitioners, help students improve clinical thinking and comprehensive processing capabilities.
4.Agricultural Risk Factors Influence Microbial Ecology in Honghu Lake.
Maozhen HAN ; Melissa DSOUZA ; Chunyu ZHOU ; Hongjun LI ; Junqian ZHANG ; Chaoyun CHEN ; Qi YAO ; Chaofang ZHONG ; Hao ZHOU ; Jack A GILBERT ; Zhi WANG ; Kang NING
Genomics, Proteomics & Bioinformatics 2019;17(1):76-90
Agricultural activities, including stock-farming, planting industry, and fish aquaculture, can affect the physicochemical and biological characters of freshwater lakes. However, the effects of pollution producing by agricultural activities on microbial ecosystem of lakes remain unclear. Hence, in this work, we selected Honghu Lake as a typical lake that is influenced by agriculture activities. We collected water and sediment samples from 18 sites, which span a wide range of areas from impacted and less-impacted areas. We performed a geospatial analysis on the composition of microbial communities associated with physicochemical properties and antibiotic pollution of samples. The co-occurrence networks of water and sediment were also built and analyzed. Our results showed that the microbial communities of impacted and less-impacted samples of water were largely driven by the concentrations of TN, TP, NO-N, and NO-N, while those of sediment were affected by the concentrations of Sed-OM and Sed-TN. Antibiotics have also played important roles in shaping these microbial communities: the concentrations of oxytetracycline and tetracycline clearly reflected the variance in taxonomic diversity and predicted functional diversity between impacted and less-impacted sites in water and sediment samples, respectively. Furthermore, for samples from both water and sediment, large differences of network topology structures between impacted and less-impacted were also observed. Our results provide compelling evidence that the microbial community can be used as a sentinel of eutrophication and antibiotics pollution risk associated with agricultural activity; and that proper monitoring of this environment is vital to maintain a sustainable environment in Honghu Lake.
Agriculture
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Animals
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Anti-Bacterial Agents
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analysis
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China
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Eutrophication
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Geologic Sediments
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chemistry
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microbiology
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Lakes
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chemistry
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microbiology
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Microbiota
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Risk Factors
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Water Pollutants, Chemical
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analysis