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Objective@#To to describe the prevalence of cyberbullying and its relation with suicide among college students in Taiyuan,and to provide scientific basis for promoting the physical and mental health of teenagers.@*Methods@#Using the method of multi-stage stratified random cluster sampling, a total of 4 012 people were randomly selected from 2 colleges (departments) in sophomore and junior years of 6 universities in Shanxi Province during May to Jul.2018, and the survey contents included basic demographic characteristics, internet usage, cyber bullying, and suicide behavior.@*Results@#The total report rate of cyberbullying among college students was 19.42%, among which the report rates of cyberbullying vicitimization cyberbullying and both cyberbulling penetration and victimization were 1.60%,11.49％ and 6.16％(247/4 012), respectively.The overall reported rate of suicidal behavior was 10.87%(436/4 012).Logistic analysis indicated that cyberbullying victimization,as well as cyberbulling penetration and victimization were risk factors for suicidal behavior（OR=1.82，2.97，P<0.05).@*Conclusion@#Cyberbullying behaviors of college students, especially those who suffer from cyberbullying or the simultaneous implementation and suffering of cyberbullying, may increase the risk of suicide. Therefore, while reducing the occurrence of cyberbullying, we should pay more attention to the mental health of students suffering from cyberbullying and reduce the occurrence of health-risk behaviors such as suicide.
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Objective To investigate the value of resting energy expenditure (REE) monitoring in nutritional support therapy of critical patients on mechanical ventilation.Methods A prospective randomized controlled trial was conducted.Sixty critical patients [acute physiology and chronic health evaluation Ⅱ score (APACHE Ⅱ) ＞ 15] on ventilation admitted to intensive care unit (ICU) of Dalian Friendship Hospital from September 2016 to October 2018 were enrolled.The enrolled patients were randomly divided into Harris-Benedict formula (HB formula) group and indirect energy measurement (metabolic vehicle) group with 30 patients in each group.The HB formula group was used traditional HB formula to determine the energy supply and ratio of nutritional support therapy,and the metabolic vehicle group was regularly measured the energy supply and proportion of nutritional support therapy.Serum albumin (ALB),total protein (TP),lymphocyte ratio,blood glucose,blood gas analysis parameters and REE value were determined at 3,5,7,9,and 11 days of nutritional support therapy.Results The value of REE at 3 days of nutritional support therapy in metabolic vehicle group was significantly higher than that in HB formula group (kJ/d:7 850.4±947.3 vs.6 915.3±875.7,P ＜ 0.05).With the time of nutritional support treatment prolonged,the REE value of metabolic vehicle group was decreased gradually,and after 7 days,the patient's condition was stable and improved,and the REE value tended to be stable gradually,it was significantly lower than that of HB formula group at 11 days (kJ/d:5 046.3 ± 493.3 vs.6 915.3 ± 875.7,P ＜ 0.05).There was no significant difference in blood gas analysis or plasma protein before nutritional support therapy between the two groups.After 5 days of nutritional support therapy,the respiratory function of critical patients in both groups was improved,and the lymphocyte ratio and plasma protein parameters were alleviated.After 11 days of nutrition support therapy,the respiratory function of critical patients in both groups was further improved,the ventilator model was adjusted to continuous positive airway pressure (CPAP) mode,the lymphocyte ratio and plasma protein parameters were improved,and the skin color and elasticity were improved,the granulation of the wound was fresh and healed well,and the plasma protein level was increased obviously,ALB level in metabolic vehicle group was significantly higher than that in HB formula group (g/L:31.8 ± 2.5 vs.26.7 ± 2.3,P ＜ 0.05).In the metabolic vehicle group,REE value was decreased from the maximum level on the 3rd day (k J/d:7 850.4 ± 947.3) to a stable level after 11 days (k J/d:5 046.3 ± 493.3),and its energy ratio changed significantly,from carbohydrate:fat of 77％ ∶ 21％ with protein consumption gradually transition in the early (3 days) to carbohydrates:fat of 56％ ∶ 44％ without protein consumption in the later stage (11 days),which showed the tendency of energy consumption was reasonable.Conclusion The energy metabolism rule of critical patients on ventilation could be determined by using the accurate metabolic vehicle and dynamic monitoring of REE value,which could be used for the implementation of nutritional support therapy.
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Objective@#To investigate the current status and influencing factors of basis of the replacement of short peripheral intravenous catheters for clinical nurses and explore the obstruction of the latest guide promoted in practice.@*Methods@#The qualitative research method was adopted, and semistructured interviews were used to interview 11 clinical nurses. Data were analyzed by the method of category analysis.@*Results@#Although the clinical nurses mainly used the national standards to do practical operation, they preferred to carry out catheter replacement according to clinical indications. The difference between the latest guide and the national standards was the main obstruction in the practical promotion of the latest guide.@*Conclusions@#The removal of short peripheral intravenous catheters according to clinical indications is more suitable for clinical practice. Further improving the standards of intravenous therapy in China has become a fundamental measure to solve the contradictions of work of clinical nurses, improve patients′ medical experience and save medical resources.
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Objective To investigate the posttraumatic growth(PTG)in female patients with breast cancer after operation and the possible influencing factors related to the PTG of these patients. Methods 300 female patients with breast cancer from Oct 2014 to Jan 2015 in 7 third-level grade A hospitals were selected by random number table. The posttraumatic growth inventory (PTGI)was used to study PTG status in these patients. Clinical data including age, degree of education, marital status, underlying disease, clinical stage, surgical method, adjuvant therapy and postoperative complications were univariate analyzed, then the positive factors were logistic regression analyzed. Results The mean PTG score was 59.83±12.90, univariate analysis showed that degree of education (F=15.80, P=0.000), underlying disease (t=3.90,P=0.000), clinical stage (F=10.17, P=0.000), surgical method (t=5.12, P=0.000) and postoperative complications(t=4.85,P=0.000) were influencing factors, while multivariate analysis by logistic regression showed that clinical stag(OR=6.635, P=0.000), surgical method (OR=2.858, P=0.000) and postoperative complications (OR=2.731, P=0.035) were independent influencing factors for female patients with breast cancer after operation. Conclusions The posttraumatic growth status in breast cancer patients undergoing operation declined dramatically. The level of metal change dimension are main clinical features of breast cancer patients. There are close associations between PTG and clinical stag, surgical method and postoperative complications.