A Scan of Obesogenic Environments and a Spatial Inference of Obesity Prevalence in Chinese Children and Adolescents: Based on the Chinese Health and Nutrition Survey 2011 Data / 生物医学与环境科学（英文）

<p><b>OBJECTIVE</b>To identify the characteristics of Chinese obesogenic environments at a provincial level, infer a spatial distribution map of obesity prevalence in 31 provinces, and provide a foundation for development of policy to reduce obesity in children and adolescents.</p><p><b>METHODS</b>After scanning obesity data on subjects aged 7-17 years from 12 provinces in the China Health and Nutrition Survey 2011 and environmental data on 31 provinces from the China Statistical Yearbook 2011 and other sources, we selected 12 predictors. We used the 12 surveyed provinces as a training sample to fit an analytical model with partial least squares regression and prioritized the 12 predictors using variable importance in projection. We also fitted a predictive model with Bayesian analysis.</p><p><b>RESULTS</b>We identified characteristics of obesogenic environments. We fitted the predictive model with a deviance information criterion of 61.96 and with statistically significant (P < 0.05) parameter estimates of intercept [95% confidence interval (CI): 329.10, 963.11], log(oil) (CI: 13.11, 20.30), log(GDP) (CI: 3.05, 6.93), log(media) (CI: -234.95, -89.61), and log(washing-machine) (CI: 0.92, 5.07). The total inferred average obesity prevalence among those aged 7-17 was 9.69% in 31 Chinese provinces in 2011. We also found obvious clustering in occurrences of obesity in northern and eastern provinces in the predicted map.</p><p><b>CONCLUSION</b>Given complexity of obesity in children and adolescents, concerted efforts are needed to reduce consumption of edible oils, increase consumption of vegetables, and strengthen nutrition, health, and physical activity education in Chinese schools. The northern and eastern regions are the key areas requiring intervention.</p>

The Content of Statistical Requirements for Authors in Biomedical Research Journals / 中华医学杂志(英文版)

<p><b>BACKGROUND</b>Robust statistical designing, sound statistical analysis, and standardized presentation are important to enhance the quality and transparency of biomedical research. This systematic review was conducted to summarize the statistical reporting requirements introduced by biomedical research journals with an impact factor of 10 or above so that researchers are able to give statistical issues' serious considerations not only at the stage of data analysis but also at the stage of methodological design.</p><p><b>METHODS</b>Detailed statistical instructions for authors were downloaded from the homepage of each of the included journals or obtained from the editors directly via email. Then, we described the types and numbers of statistical guidelines introduced by different press groups. Items of statistical reporting guideline as well as particular requirements were summarized in frequency, which were grouped into design, method of analysis, and presentation, respectively. Finally, updated statistical guidelines and particular requirements for improvement were summed up.</p><p><b>RESULTS</b>Totally, 21 of 23 press groups introduced at least one statistical guideline. More than half of press groups can update their statistical instruction for authors gradually relative to issues of new statistical reporting guidelines. In addition, 16 press groups, covering 44 journals, address particular statistical requirements. The most of the particular requirements focused on the performance of statistical analysis and transparency in statistical reporting, including "address issues relevant to research design, including participant flow diagram, eligibility criteria, and sample size estimation," and "statistical methods and the reasons."</p><p><b>CONCLUSIONS</b>Statistical requirements for authors are becoming increasingly perfected. Statistical requirements for authors remind researchers that they should make sufficient consideration not only in regards to statistical methods during the research design, but also standardized statistical reporting, which would be beneficial in providing stronger evidence and making a greater critical appraisal of evidence more accessible.</p>

Spatial distribution of liver cancer incidence in shenqiu county, henan province, china: a spatial analysis / 生物医学与环境科学（英文）

Liver cancer is a common and leading cause of cancer death in China. We used the cancer registry data collected from 2009 to 2011 to describe the spatial distribution of liver cancer incidence at village level in Shengqiu county, Henan province, China. Spatial autocorrelation analysis was employed to detect significant differences from a random spatial distribution of liver cancer incidence. Spatial scan statistics were used to detect and evaluate the clusters of liver cancer cases. Spatial clusters were mapped using ArcGIS 10.0 software in order to identify their physical location at village level. High cluster areas of liver cancer incidence were observed in 26 villages of 7 towns and low cluster areas were observed in 16 villages of 4 towns. High cluster areas of liver cancer incidence were distributed along the Sha Ying River which is the largest of tributary of the Huai River. Role of water pollution in Shenqiu County where the high cluster was found deserves further investigation.

Comparison of the Designing Effects (DE) among different designs related to complex sampling methods / 中华流行病学杂志

To compare the designing effects (DE) among different complex sampling designing programs.Data from the ‘2002 Chinese Nutrition and Health Survey' was used as an example to generate the sampling population,and statistical simulation method was used to estimate the values of DEs from six complex sampling designing programs.It was found that the values of DEs varied among the six complex sampling designing programs.The values of the DEs were associated with the sample sizes in a positive way,with more sample stages and less stratified categories.Reduction of the numbers of sample stages and detailing stratified categories could decrease the DE values so as to improve the DE.

ICAM-1 469K/E gene polymorphisms increase the risk of gastric dysplasia / 中华肿瘤杂志

<p><b>OBJECTIVE</b>To investigate the influence of ICAM-1 469K/E gene polymorphisms on the risk of atrophic gastritis and dysplasia.</p><p><b>METHODS</b>The ICAM-1 469K/E gene polymorphisms in a total of 372 subjects were detected by polymerase chain reaction-direct sequencing. All of the subjects were from Linqu County, a high risk area of gastric cancer in Shandong Province of northern China. All cases were initially diagnosed as normal or superficial gastritis at the beginning of this study. After a 5-year follow-up, the cases were subdivided into no progression group (no histological progression, n=137), progression group I (progressed to severe chronic atrophic gastritis, n=194) and progression group II (progressed to low-grade dysplasia, n=41).</p><p><b>RESULTS</b>In all 372 subjects, the frequencies of KK, KE or EE genotype of ICAM-1 K469E were 50.5%, 39.2% and 10.2%, respectively. No significant differences were observed in the ICAM-1 469K/E genotype frequencies between the progression group I and no progression group (P>0.05). The frequencies of KK genotype (68.3%) were significantly higher in the progression group II than in the no progression group (49.6%, P=0.035), and also than in the progression group I (47.4%, P=0.015). An increased risk of the progressing to dysplasia from normal or superficial gastritis was found in the individuals with ICAM-1 469KK genotype [odds ratio (OR)=2.21, 95%CI, 1.10-4.42].</p><p><b>CONCLUSION</b>ICAM-1 469K/E gene polymorphisms are significantly associated with the risk of gastric low-grade dysplasia, but not related with severe chronic atrophic gastritis in a population with high risk of gastric cancer in Linqu County, Shandong Province, China.</p>

The associations of serum gastrin level with Helicobacter pylori infection / 中华预防医学杂志

<p><b>OBJECTIVE</b>To investigate the associations of serum gastrin-17 (G-17) concentration with helicobacter pylori (Hp) infection.</p><p><b>METHODS</b>A (13)C-urea breath and ELISA test to determine the Helicobacter pylori status and to detect the serum gastrin concentration was conducted in 242 villagers in Linqu of Shandong Province, a high gastric cancer prevalence area in China.</p><p><b>RESULTS</b>Of 242 subjects, 65 of 111 were found Hp-positive in males (58.56%), compared with 65 of 131 in females (49.62%) (chi(2) = 1.932, P = 0.165). The statistical difference was not observed among different age groups (chi(2) = 4.185, P = 0.123). The average level of G-17 among 242 subjects was (24.43 +/- 25.46) pmol/L and it was statistically higher in females (29.87 +/- 28.18) pmol/L than that in males (18.01 +/- 20.11) pmol/L (Z = -3.618, P < 0.001). However, there was no statistical difference found among age groups (chi(2) = 1.948, P = 0.378). The G-17 level in Hp-negative group (35.50 +/- 30.92) pmol/L was observed significantly higher than in Hp-positive group (14.90 +/- 13.79) pmol/L (Z = 5.368, P = 0.0001).</p><p><b>CONCLUSION</b>The G-17 concentration was found higher in Hp-negative subjects than in Hp-positive subjects, and higher in female than in male, but no difference was found among age groups.</p>

Analysis of mortality trend of cancer from 1980 to 2002 in Linqu County Shandong Province / 中华预防医学杂志

<p><b>OBJECTIVE</b>To investigate the trend of total cancer mortality in Linqu County Shandong Province from 1980 to 2002.</p><p><b>METHODS</b>A retrospective survey on all causes of death in 1980 - 1982, 1990 - 1992 and 2000 - 2002 was conducted in Linqu County, a high risk area of gastric cancer in Northeast of China, respectively.</p><p><b>RESULTS</b>The cancer death, was found the third leading cause of death in 1980 - 1982 in Linqu County, and the second to that of vascular disease in 2000 - 2002. The cancer mortality (standardized mortality) was 108.97/100,000 (111.48/100,000), 132.38/100,000 (127.94/100,000) and 148.48/100,000 (105.53/100,000) in 1980 - 1982, 1990 - 1992 and 2000 - 2002, respectively. The trend of cancer mortality was significantly increased (Z = 13.42, P < 0.0001). The added cancer-eliminated life expectancy in three periods was 2.46 years, 3.29 years and 3.76 years in male (F = 13.99, P < 0.0001), and 1.67 years, 2.30 and 2.33 years in female (F = 13.61, P < 0.0001), respectively. The standardized mortality of gastric cancer (percentage in all cancer death) was 44.93/100,000 (40.29%), 41.37/100,000 (32.34%) and 27.73/100,000 (26.90%) in 1980 - 1982, 1990 - 1992 and 2000 - 2002, respectively. The trend of gastric cancer standardized mortality was significantly reduced (Z = 6.35, P < 0.01).</p><p><b>CONCLUSION</b>The mortality of cancer in Linqu County has been increased from 1980 to 2002, but no such trend was found after adjusting ages. However, there was a decreased trend on standardized mortality of gastric cancer in the past 20 years.</p>

Study on the status and quality of sleep-related influencing factors in medical college students / 中华流行病学杂志

<p><b>OBJECTIVE</b>To study the status and influencing factors on sleep quality in some medical college students.</p><p><b>METHODS</b>Stratified sampling, pittsburgh sleep quality index (PSQI), self-evaluation depression scale (SDS), self-evaluation anxiety scale (SAS) and self-developed questionnaire of influencing factors on the quality of sleep in medical college students were used. Cumulative odds logistic model was performed to analyze the related factors on the quality of sleep.</p><p><b>RESULTS</b>19.17 percent of the medical college students showed poor quality of sleep and the difference between genders was not statistically significant (P > 0.05). Statistically significant (P < 0.05) difference was seen among different years of students and correlation was found between sleep quality and depression or anxiety (P < 0.0001). Factors influencing on the quality of sleep in medical college students would include: worry of sleep, irregular work/rest, worry on examination, stress, relationship with classmates, self-evaluated health condition, environments of the dormitory and late to bed.</p><p><b>CONCLUSION</b>Influencing factors were identified and comprehensive measures should be taken to improve the quality of sleep.</p>