Objective To establish a model of pancreatic cancer(PC)in SD rats,and to study the changs of serum levels of AMS and TNF-? and the significances.Methods Dimethylbenzanthracene(DMBA)was directly implanted into pancreatic parenchyma of SD rats(experimental group,group A),and in the process of establishing PC,weekly TSA by 1P was done in intervention group(group B).The tumor development of rats executed within 3～5 months in Group A and Group B were observed by HE staining and gross examination.Meanwhile,the rats in the sham operation group(Group C)were executed at 5 months.The levels of serum AMS were detected by autobiochemical assay apparatus,and the levels of serurn TNF-? were determined by ELISA.Results(1)The incidence of pancreatic cancer in Group A within 3～5 months was 48.7%(18/37),including 17 cases of pancreatic ductal adenocarcinoma and 1 case of fibrosarcoma.The incidence of pancreatic cancer in Group B was 33.3%(12/36),including 11 pancreatic ductal adenocarcinoma and 1 case of fibrosarcoma.The maximal diameter of tumor mass in Group A was higher than that in Group B((P

Objective:To test the validity and reliability of the Perceived Stress Scale-14 items (PSS-14) applied in cancer survivors.Methods:Totally 652 cancer survivors (patients who had finished active treatments and were in convalescence) were selected and a field questionnaire survey was conducted among them.Exploratory factor analysis and confirmatory factor analysis were performed to test the construct validity of PSS-14.Correlation between the two dimensions (discriminant validity) and correlation between stress and quality of life were analyzed to further test its validity.The intemal consistency reliability,split-half reliability,retest reliability and sensitivity analysis were adopted to test the reliability of PSS-14.Results:Two common factors were extracted in the exploratory factor analysis.The cumulative percentage of variance explained was 60.8％.The index of confirmatory factor analysis were:TLI =0.92,CFI =0.93,SRMR =0.07,RMSEA =0.08.The correlation coefficient between the two dimensions of PSS-14 was-0.16 (P ＜0.001).The correlation coefficients between the score of PSS-14 and each dimension of EORTC QLQ-C30 were 0.24-0.55 (P ＜ 0.001).The Cronbach α coefficients of the whole scale and the two dimensions named "perceived coping ability" and "perceived distress" were 0.78,0.91 and 0.88 respectively.After the scale was split into two parts,the Cronbach α coefficients of each part were 0.66 and 0.60.The Spearman-Brown coefficient was 0.79.The Guttman split-half coefficient was 0.79.After one item was removed from the scale each time,the Cronbach a coefficients of the remaining items varied from 0.75 to 0.77.The retest reliability of the whole scale and the two dimensions were 0.89,0.86 and 0.85 respectively.Conclusion:PSS-14 shows favorable validity and reliability,suggesting the utility to assess stress of cancer survivors as a self-administered inventory.

Objective Through the analysis of influenza ( Flu ) monitoring data, to grasp the epidemiological characteristics of influenza, effective response to influenza pandemic in our province, to provide scientific basis for the development of influenza prevention and control strategies.Methods To analyze the surveillance data of influenza from 2011 to 2015.Results From the 14th week of 2011 to the 13th week of 2015, the average percentage of influenza-like illness(ILI)visits (ILI%) was 2.01%in Jilin province.The age group of 0 to 4 was the highest in the age groups of ILI cases.2173 positive strains were isolated from 13 sentinel hospitals, and the positive rate was 8.28%.The main three viral types were:seasonal A ( H3N2 ) 45.24%, A ( H1N1 ) 32.31%, B 22.14%.The dominant strains in different monitoring years were significantly different, the dominant strains of 2011-2012 was B while 2012-2014 were H3N2 and H1N1, the dominant strains of 2014-2015 was H3N2.Conclusion The seasonal characteristics of influenza in Jilin province were obvious, and the dominant strains in different monitoring years appeared alternately.

Objective: To study the coping styles and its relationship with quality of life among part of the female breast cancer patients in Shanghai in 2014. Methods: In August of 2014, 1-3 block groups affiliated to Shanghai Cancer Rehabilitation Club were selected from each of the 17 districts of Shanghai by convenient sampling method. Respondents were recruited from these block groups via putting up posters in the community or top three hospitals nearby. The inclusion criteria were as follows: female, aged from 18 to 80 years old; the initial diagnosis or primary tumor was breast cancer, and active treatments including surgery, radiotherapy and chemotherapy were finished; capable of basic reading and comprehension, and there was no communication disorder; daily activities were not limited, and with no mental disorder or dysgnosia. Totally 2 205 respondents were included. Questionnaire survey was conducted to collect the information of demographic characteristics, disease characteristics, result of European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30), and result of the Ways of Coping Inventory-Cancer Version (WOC-CA). 1 968 valid questionnaires were withdrawn. The results of respondent characteristics and WOC-CA were under descriptive analysis, and the differences of coping styles among groups of different demographic characteristics were compared using t test. In addition, we analyzed the correlation between respondents' coping styles and quality of life using partial correlation analysis. Results: The average age of the 1 968 respondents was (58.7±7.4) years old, and BMI was (24.4±5.4) kg/m². The score of positive coping styles was 2.04±0.41, and the score of negative coping styles was 1.79±0.33. The scores of Physical Functioning (PF), Role Functioning (RF), Cognitive Functioning (CF), Emotional Functioning (EF), Social Functioning (SF), and Global Health (GH) were 83.40±12.18, 90.80±15.92, 80.72±16.29, 84.67±15.19, 80.99±20.91, 65.27±21.21, respectively. Positive coping styles correlated with PF, EF, and GH positively, and the correlation coefficients were separately 0.581 (P=0.046), 0.593 (P=0.045), 0.770 (P<0.001). Negative coping styles correlated with RF, CF, EF, and SF negatively, and the correlation coefficients were separately-0.672 (P=0.021),-0.815 (P=0.005),-0.121 (P<0.001),-0.123 (P<0.001). Conclusion Part of the female breast cancer patients in Shanghai in 2014 mainly adopted positive coping styles, and in general the positive coping styles correlated with quality of life positively and negative coping styles correlated with quality of life negatively.