Risk factors of hypertensive disorders among Chinese pregnant women / 华中科技大学学报（医学）（英德文版）

The prevalence of hypertensive disorders in China was much higher than that in the United States. Considering the large population with wide geographic area of China, we aimed to add more information regarding the risk factors for hypertensive disorders of pregnancy. A case-control study was performed on 373 hypertensive cases and 507 normotensive controls. Participants were recruited from 2008 to 2014 in Yichang Maternal and Child Health Care Center in Hubei province and Anyang Maternal and Child Health Care Hospital in Henan province, China. Socio-demographic factors, family- related factors, pregnancy-associated factors, factors related to daily life behaviors and psychosocial factors were investigated with respect to hypertensive disorders in pregnancy through well-designed questionnaire. Chi-square test, t-test, univariate logistic regression analysis, and multivariate logistic regression analysis were used to find the possible risk factors behind hypertensive disorders in pregnancy. The results showed that family history of cardiovascular diseases (OR=6.18, 95% CI, 2.37 to 16.14), history of pregnancy-induced hypertension (OR=16.64, 95% CI, 5.74 to 48.22), low maternal educational level (OR=2.81, 95% CI, 1.30 to 6.04), and poor relationship with their parents-in-law (OR=3.44, 95% CI, 1.55 to 7.59) had statistically significant associations with hypertensive disorders in pregnancy through multivariate logistic regression analysis. Increased maternal age, increased pre-pregnancy body mass index, living in rural area, low paternal education level, family history of hypertension, passive smoking one year before and/or in pregnancy, and poor sleeping quality were significantly associated with hypertensive disorders in pregnancy from univariate logistic regression analysis while the associations became uncertain when they were entered for multivariate logistic regression analysis. It was concluded that family history of cardiovascular diseases, history of pregnancy-induced hypertension, low maternal educational level, and poor relationship with their parents-in-law were independent risk factors for hypertensive disorders among Chinese pregnant women.

The application of integrated surveillance system for symptoms in surveillance of influenza among children / 中华预防医学杂志

<p><b>OBJECTIVE</b>To explore the integrated application of sales of child-specific over-the-counter (OTC) cold related medications in retail pharmacies and healthcare visits of children for influenza-like illness (ILI) in surveillance and early warning of influenza among children.</p><p><b>METHODS</b>An integrated surveillance system (ISS) was implemented since 2012 in Qianjiang County, a rural area in Hubei Province of China. The daily information from August 1, 2012 to February 28, 2013 of health care visits of children for ILI reported by 80 health facilities and sales of 14 child-specific over-the-counter (OTC) cold related medications reported by 11 pharmacies were extracted from ISS database. Cumulative sums (CUSUM) model was conducted to analyze the degree of fitting and the early warning signal generated; the correlationship was then analyzed further.</p><p><b>RESULTS</b>In 212 days, 983 visits of children for ILI and 12 819 sales by person of child-specific OTC were reported. Conducting CUSUM model, the fitting degree was in the acceptable range, 31 warning signals were generated from ILI data series with 3 peak periods and 14 from OTC data series with 2 peak periods. A similar time trend of two data series was observed with a correlation(r = 0.497, P < 0.05), but without any spatial clustering. And the optimal correlation(r = 0.505, P < 0.05) appeared at a time offset of 4 days preceded by OTC sales.</p><p><b>CONCLUSION</b>The availability of integrated surveillance system for symptoms could be applied for surveillance of influenza among children; while it could explore the possibility of real epidemic in the very early stage.</p>

Application of log-linear model in the case-parent triad study / 中华流行病学杂志

We were introducing a log-linear model for case-parent triad study.Data from a previous study of the association between MTHFR C677T aud cleft lip with or without cleft palate (CL/P) was analyzed,in order to investigate the maternal effect,fetal effect and their interaction,using a series of log-linear models.Our results showed that mothers who were carrying two copies of MTHFR C677T variant alleles appeared to have reduced the risk of CL/P in offspring,comparing to those with homozygous of wild-type allele.With S2=0.43 (95％ CI:0.19-0.95).No significant association was found for fetal genotype and maternal-fetal iuteraction with CL/P.Log-linear model method seemed to be useful in the estimation of maternal effect,fetal effect and maternal-fetal interaction,in the case-parent triad study design.This approach showed specific benefit in studies that related to genetic effects on complex diseases such as pregnancy complications and diseases originated from fetus.

Introduction on a forecasting model for infectious disease incidence rate based on radial basis function network / 中华流行病学杂志

It is important to forecast incidence rates of infectious disease for the development of a better program on its prevention and control. Since the incidence rate of infectious disease is influenced by multiple factors, and the action mechanisms of these factors are usually unable to be described with accurate mathematical linguistic forms, the radial basis function (RBF) neural network is introduced to solve the nonlinear approximation issues and to predict incidence rates of infectious disease. The forecasting model is constructed under data from hepatitis B monthly incidence rate reports from 1991-2002. After learning and training on the basic concepts of the network, simulation experiments are completed, and then the incidence rates from Jan. 2003-Jun. 2003 forecasted by the established model. Through comparing with the actual incidence rate, the reliability of the model is evaluated. When comparing with ARIMA model, RBF network model seems to be more effective and feasible for predicting the incidence rates of infectious disease, observed in the short term.

Influence of smoking on the prevalence of chronic diseases among people with different income levels / 中华流行病学杂志

<p><b>OBJECTIVE</b>To explore the influence of smoking on chronic diseases among people with various income levels in China.</p><p><b>METHODS</b>Cross-sectional study on smoking behavior, chronic disease and income level was performed using database of the Second National Health Service Study (1998) provided by the Ministry of Health in China.</p><p><b>RESULTS</b>Compared to never-smokers, smokers (including current smokers and former smokers) had a higher rate of having chronic diseases, after adjusted in age, income, educational level, employment status and type of jobs with corresponding countryside (OR = 1.185, 95% CI: 1.121 - 1.253 and town OR = 1.083, 95% CI: 1.010 - 1.161). Smoking had a more serious effect on having chronic illness in males from the countryside (former-smoker OR = 2.764, 95% CI: 2.471 - 3.092) than in town (former-smoker OR = 2.112, 95% CI: 1.844 - 2.419). Smokers at the lowest income level had a higher possibility of having chronic illness (town OR = 2.076, 95% CI: 1.551 - 2.780; countryside OR = 2.903, 95% CI: 2.248 - 3.749) than those at the highest income level (town OR = 1.785, 95% CI: 1.285 - 2.479 in the countryside OR = 2.466, 95% CI: 1.941 - 3.134).</p><p><b>CONCLUSION</b>Smoking might cause more serious health problems to people at lower income level in China.</p>