Objective To collect the basic information on publications in Chinese Journal of Perinatal Medicine,and understand the current situation and set the goals for the future. Methods Information on all publications in this journal from 1998 to 2007 was collected.The distribution of all publications,Price Index and relative data were analyzed. Results There were 1368 publications altogether during the past 10 years.The first six kinds of papers were original articles(508,31.7%),short articles(258,18.9%),case reports(194,14.2%),reviews(122,8.9%),experimental studies(90,6.6%)and brief communications(83,14.2%).47.9% of all publications were from Beijing,Guangdong and Shanghai.The first three areas who had the most submissions were Beijing,Shandong and Guangdong in 2007.The citation frequency analysis showed that 708 publications were cited at 1east once and only two were cited over 80 times.53.4% of all cited publications were original articles and experimental studies. Conclusions Original articles and short articles are the two main types of publications in this journal,however original articles and experimental studies contributed to half of the publications being cited.Publications in this journal are focused in few areas and this might be related to the number of submissions.

Objective To establish the apoptosis model in mouse cone cell line 661W cells and to investigate the viability of 661W cells in the conditions of different levels of autophagy.Methods Different concentrations of anti-Fas antibody were added to establish the apoptosis model of 661W cells,the expression of caspase-3 was detected by Western blot and the appropriate concentration of anti-Fas antibody was screened.Different concentrations of the autophagy inhibitor 3-methyladenine (3-MA) or autophagy inducer rapamycin were added to inhibit or induce autophagy,the expression of microtubule-associated protein 1 light chain 3 (LC-3) Ⅱ/LC-3 Ⅰ were detected by Western blot and the appropriate concentrations were also screened.The cultured cells were divided into 6 groups:control group,simple 3-MA group,simple rapamycin group,model group,model + 3-MA group and model + rapamycin group.Western blot was adopted to detect the expression of caspase-3,caspase-8,autophagy related genes 5 (Atg-5) and LC-3 Ⅱ/LC-3 Ⅰ at 0 hour,3,6,12,24 and 48 hours after induction.Flowcytometer was adopted to detect the apoptosis rate of 661W cells.Results The apoptosis model of 661W cells was successfully established,and the appropriate concentration of anti-Fas antibody was 2.0 μg/ml.After stimulated by the anti-Fas antibody,the expression of caspase-3 and caspase-8 of 661W cells increased from the time point of 6 hours,peaked at 12 hours,and sustained to 48 hours.However,the expression of Atg-5 and LC-3 Ⅱ/LC-3 Ⅰ raised from the time point of 3 hours,peaked at 24 hours,and decreased to the basic level at 48 hours.In addition,the appropriate concentrations of 3-MA and rapamycin were 20 nmol/L and 2.0 nmol/L,respectively.There was no statistical difference among the control group,simple 3-MA group and simple rapamycin group on the expression of caspase-3 and caspase-8 and the apoptosis rate of 661W cells at different time points (all at P＞0.05).The expressions of Atg-5 and LC-3 Ⅱ/LC-3 Ⅰ in the simple rapamycin group were significantly higher than those in the control group at different time points (all at P＜0.05).The expressions of caspase-3 and caspase-8 and the apoptosis rate in the model + 3-MA group were significantlly higher than those in the model group at 3,6,12,24 and 48 hours after induction,while the expressions of Atg-5 and LC-3 Ⅱ/LC-3 Ⅰ were obviously lower than those in the model group at 3,6,12 and 24 hours after induction (all at P＜0.05).The expressions of caspase-3 and caspase-8 and the apoptosis rate at 6,12,24 and 48 hours after induction in the model+rapamycin group were significantly lower than those in the model group,while the expressions of Atg-5 and LC-3 Ⅱ/LC-3 Ⅰ at the time points of 3,6,12 and 24 hours after induction were obviously higher than those in the model group (all at P ＜ 0.05).Conclusions Under the condition of anti Fas antibody inducing apoptosis,enhancing autophagy can reduce the apoptosis rate of cells,inhibiting autophagy can increase the apoptosis rate.Autophagy may play a protective role in 661W cells.

OBJECTIVE: This study aims to examine the parallel multiple mediators of depressive symptoms and sleep quality in the relations between stress and physical health-related quality of life (PHQOL)/mental health-related quality of life (MHQOL) among the women in late pregnancy. METHODS: Of 1120 pregnant women participated in the cross-sectional study which consisted of Perceived Stress Scale, Edinburgh Postnatal Depression Scale, Pittsburgh Sleep Quality Index and MOS 12-item Short Form Health Survey. Parallel multiple mediator models were used to analyze the relations between stress, depressive symptoms, sleep quality and PHQOL/MHQOL. RESULTS: The effect of perceived stress on PHQOL was partially through the indirect path of sleep quality (β=-0.061). But in the model for MHQOL, depressive symptoms and sleep quality played parallel mediators, and the indirect path effect of depressive symptoms (β=-0.179) was higher than sleep quality (β=-0.029). CONCLUSION: The findings contributed to the understanding about the influential mechanism of stress on PHQOL/MHQOL. And it reminded the importance of sleep quality and depressive symptoms for improving QOL in late pregnancy.
Cross-Sectional Studies ; Depression ; Depression, Postpartum ; Female ; Health Surveys ; Humans ; Negotiating ; Pregnancy ; Pregnant Women ; Quality of Life

Background Air pollution is a major public health concern. Air Quality Health Index (AQHI) is a very important air quality risk communication tool. However, AQHI is usually constructed by single-pollutant model, which has obvious disadvantages. Objective To construct an AQHI based on the joint effects of multiple air pollutants (J-AQHI), and to provide a scientific tool for health risk warning and risk communication of air pollution. Methods Data on non-accidental deaths in Yunnan, Guangdong, Hunan, Zhejiang, and Jilin provinces from January 1, 2013 to December 31, 2018 were obtained from the corresponding provincial disease surveillance points systems (DSPS), including date of death, age, gender, and cause of death. Daily meteorological (temperature and relative humidity) and air pollution data (SO₂, NO₂, CO, PM_2.5, PM₁₀, and maximum 8 h O₃ concentrations) at the same period were respectively derived from China Meteorological Data Sharing Service System and National Urban Air Quality Real-time Publishing Platform. Lasso regression was first applied to select air pollutants, then a time-stratified case-crossover design was applied. Each case was matched to 3 or 4 control days which were selected on the same days of the week in the same calendar month. Then a distributed lag nonlinear model (DLNM) was used to estimate the exposure-response relationship between selected air pollutants and mortality, which was used to construct the AQHI. Finally, AQHI was classified into four levels according to the air pollutant guidance limit values from World Health Organization Global Air Quality Guidelines (AQG 2021), and the excess risks (ERs) were calculated to compare the AQHI based on single-pollutant model and the J-AQHI based on multi-pollutant model. Results PM_2.5, NO₂, SO₂, and O₃ were selected by Lasso regression to establish DLNM model. The ERs for an interquartile range (IQR) increase and 95% confidence intervals (CI) for PM_2.5, NO₂, SO₂ and O₃ were 0.71% (0.34%–1.09%), 2.46% (1.78%–3.15%), 1.25% (0.9%–1.6%), and 0.27% (−0.11%–0.65%) respectively. The distribution of J-AQHI was right-skewed, and it was divided into four levels, with ranges of 0-1 for low risk, 2-3 for moderate risk, 4-5 for high health risk, and ≥6 for severe risk, and the corresponding proportions were 11.25%, 64.61%, 19.33%, and 4.81%, respectively. The ER (95%CI) of mortality risk increased by 3.61% (2.93–4.29) for each IQR increase of the multi-pollutant based J-AQHI , while it was 3.39% (2.68–4.11) for the single-pollutant based AQHI . Conclusion The J-AQHI generated by multi-pollutant model demonstrates the actual exposure health risk of air pollution in the population and provides new ideas for further improvement of AQHI calculation methods.