Associations between milk intake at breakfast and nutritional status of students attending the Nutrition Improvement Program for Rural Compulsory Education Students in 2016 / 中华流行病学杂志

Objective: To investigate the association between milk intake at breakfast and nutritional status of students attending the Nutrition Improvement Program for Rural Compulsory Education Students (NIPRCES) in 2016, and to provide basic data for improving the nutritional status of the poor rural pupils. Methods: Using the multi-stage stratified random cluster sampling method, 22 315 students from grade three to nine from primary and junior high schools were randomly selected from the 50 key counties under the monitor programs, in 22 provinces of NNIPRCS. Questionnaire was used. Among all the students, with equal number of genders, morning fasting height and weight were measured by trained investigators. Status of nutrition was classified as malnutrition, normal, overweight/obesity, by age-specific height and BMI. Multivariate linear and logistic regression methods were used to analyze the relationship between milk consumption and the status of nutrition of the students. Results: Only 31.4% of the students that were on the monitoring programs would drink milk at breakfast. Proportions of milk intake at breakfast were higher in students from the western regions, in lower grades and in girls (P<0.05). The proportions of malnutrition and overweight/obesity were 11.0% and 10.0% respectively. After controlling factors as gender, age, ethnicity, region of residency and types of parental employment, students who drank milk at breakfast showed an average height of 0.4 cm taller than those who did not drink milk (P=0.001). However, no significant relationships were noticed between milk intake at breakfast and weight, malnutrition or overweight/obesity. Conclusion: Milk intake at breakfast seemed associated with the height of the students under study, suggesting that this program can be promoted, especially in students from the poor rural areas.

Imaging Findings and Pathological Characteristics of Primitive Neuroectodermal Tumor / 中国医科大学学报

Objective To investigate the imaging findings and pathological characterislics of primitive neuroectodennal tumor (PNET). Meth-ods Imaging data of 22 cases of PN ET confirmed by pathology were retrospectively analyzed. Results There were 5 cases of central PNET, which were round or lobulated masses, 4 cases with cystic degeneration, 1 case with necrosis, and 4 cases with mild peritu moraledema. Magnetic resonance imaging (MRI) revealed isointensity or slightlyhy pointensity on Tl-and hyperin tensity on T2-weighted imag-es, and marked heterogeneous enhancement. There were 17 cases of peripheral PNET, which were mostly large lobulated soft tissue mass-es, 7cases with cystic degeneration, 3 cases with necrosis, and 8 cases with boned estructio n. Computed tomography (CT) scan showed iso-lowd ensity. MRI revealed isointensity or slightly hypointensity on Tl-and heterogeneous hypeiintensityon T2-weighted images, and marked heterogeneous enhancement. Hematoxylin-eosin staining showed Homer-Wright rosette arrangement of the tumor cells in 13 cases. Immunohistochemical staining revealed expression of CD99 (17/22), CD56 (16/18), Ki-67 (22/22), and vimentin (22/22) by the tumorcells. Conclusion MRI and CT findings of PNET are characteristic and helpful in differential diagnosis of the disease. CD99 is of signif-icant value as a diagnostic biomarker and in the classification of PNET.

Research on reform of epidemiology teaching / 中华流行病学杂志

Epidemiology is a traditional subject mainly based on principles and concepts, and its teaching method needs further improving to meet the requirement of the new trend of education reform. Lecture-based teaching, problem-based teaching, case-based teaching, and internet based teaching, such as flip class, massive open online course and micro-lecture, all have its own unique merits in the practice of epidemiology teaching. So the combination of traditional teaching and online teaching is the most promising mode. "Rain class" , a mixed mode, is an efficient tool to present the epidemiology case more actually in class. Thus, teaching design and application of "rain class" are worth research.

Risk factors analysis and a new risk scoring system predicting hepatocarcinogenesis for chronic genotype C HBV infected patients / 中华流行病学杂志

Objective: To investigate the effects of hepatitis B virus (HBV) genotype and mutations on the development of hepatocellular carcinoma (HCC) and to establish a new qualified HCC risk scores. Methods: A cohort study enrolling patients with chronic HBV infection was conducted. HBV genotypes were identified by nested multiplex PCR. HBV mutations in the basic core promoter region and PreS region were sequenced after PCR amplification. Scores on risk factors were set based on nomogram. Results: Totally, 1 525 patients were followed-up in this research. A total of 1 110 patients infected with genotype C were followed-up for 8.52 (Q(R): 5.36-11.68) years on average, of whom the incidence of HCC was 11.93/1 000 person-years. In genotype C HBV infected patients, male gender, aged 40 years and over, and four DNA mutations (T1674CG, A1762T/G1764A, A3120T, and A2962G) can increase the risk of HCC (P<0.05); interferon therapy can reduce the risk of HCC (P<0.05). A new HCC predicting model was established according to the results. After validation, the predicted disease-free survival rate was consistent with the real one. Conclusions: Hepatitis B virus genotypes and mutations were closely associated with HCC. The new risk scoring system can well predict HCC occurrence in genotype C HBV infected patients.