With the scientific and technological progress and rapid development of the social economy, the extensive application of various electronic equipments has gradually intensified the possibility of ELF-EMF(extreme low frequency electromagnetic fields) exposure, the relationship between ELF-EMF exposure and health effects attracted more and more eyes and many corresponding researches have been finished. In recent years, a lot of epidemiological researches about the relationship between ELF-EMF and leukemia, brain tumor, breast cancer and other tumors have been done at home and abroad, in the present paper the research results were reviewed and the possible mechanism of the effect of ELF-EMF exposure on tumors was discussed.

0.05). Conclusion After exposing to the 915 MHz electromagnetic fields, the changes of the concentration of monoamine neurotransmitters in the cerebral cortex and hippocampus, and the changes of the concentration of Ach in the remnant brain tissue could not be found.

With the rapid growth of economy, environmental incidents of public health happened more frequently. To prevent and control these incidents effectively, governments explored managing information system, which provides technology and decision-making supports for dealing with the incidents. The development, application, services and characteristics of these information systems were summarized in this review, the impendence was also analyzed to develop a management information system in public health field in China.

Objective To investigate the effect of low intensity microwave electromagnetic fields (EMF) on energy metabolism of cerebral cortical neurons of postnatal rats. Methods The cultured neurons were exposed to low intensity 900 MHz continuous microwave EMF (SAR=0.38-3.22 mW/g) 2 hours a day for 4 to 6 consecutive days. The activity of cytochrome oxidase(CCO) was taken as the index for energy metabolism level. Results The results of cytochemistry showed that compared to the sham-exposed, a significant decrease of cytochrome oxidase activity in exposed neurons(0.38-3.22 mW/g P

To study the effects of electromagnetic radiation from handsets of cellular telephone on quality of user's sleeping and depression 88 staff with handsets of cellular telephone and 77 staff without handsets of cellular telephone from corporations were selected as the subjects The subjects were investigated by questionnaires on their general health,lifestyle habit,psychological stresses,handset using of cellular telephone,living and working environmental exposure,morbidity and quality of sleeping and depression The data was analyzed by chi square,stepwise regression,Logistic regression,and covariance statistics The prevalence rate of insomnia was higher in user's group significantly ( P

The size of the non-sampling error is directly related to the accuracy and reliability of the sampling survey result. This paper studied the non-sampling errors generated during the sampling process of the China National Human Biomonitoring Program(CNBP), mainly including the sampling frame error, non-response error and measurement error. The program reduced the influence of the non-sampling error on the quality of the survey effectively by scientifically designing the sampling scheme and questionnaire, strengthening investigator trainings and standardizing the data review, which could be used to provide reference for the control of non-sampling errors in public health monitoring projects in China.

Objective To assess the association between the concentration of the air pollutant PM2.5 and daily outpatient visits for respiratory disease. Methods All records of daily outpatient visits to three hospitals in Shenzhen from January 1 to December 31, 2013 were collected. Daily air pollution monitoring and meteorology data from the same period were also collected in Shenzhen. The data were analyzed using a semiparametric generalized additive model with Poisson distribution of time series analysis controlling for long-term and seasonal trends, flu, DOW, public holidays, and meteorological factors. The excess risk (ER) of respiratory disease and its 95%CI value were calculated, along with the incremental increase of 10 μg/m3 in PM2.5 concentration. Results Number of outpatient visits for respiratory diseases totaled 1 428 672 (daily range:1 790-5 228). The annual average PM2.5 concentration was 40.2μg/m3 (daily range:7.2-137.1μg/m3). The lag1 factor had the most significant impact on the lag effect. We estimated that a 10 μg/m3 increase in day-before PM2.5 concentration was associated with a 1.809% (95% CI:1.709%-1.909%) ER of visits for respiratory disease. After controlling for other pollutants (NO2, CO, and O3), the effect remained stable. When NO2, CO, and O3 were introduced separately, for every 10μg/m3 rise in PM2.5 concentration, the excess risk of daily outpatient visits for respiratory disease was 1.814% (95% CI:1.706%-1.923%), 2.780% (95% CI: 2.668%-2.892%), and 1.513% (95% CI: 1.403%-1.624%), respectively. With simultaneous control of NO2 and O3, NO2 and CO, and CO and O3, for every 10μg/m3 rise in PM2.5 concentration, the excess risk of respiratory disease was 1.369% (95% CI: 1.242%-1.497%), 2.709% (95% CI: 2.590%- 2.828% ), and 2.577% (95% CI: 2.452%- 2.702% ), respectively. With simultaneous control of NO2, CO, and O3, for every 10μg/m3 rise in PM2.5 concentration, the excess risk of respiratory disease was 2.370% (95% CI: 2.231%-2.509%). Conclusions PM2.5 can increase the risk of outpatient visits for respiratory disease in Shenzhen.

Objective To assess the association between the concentration of the air pollutant PM2.5 and daily outpatient visits for respiratory disease. Methods All records of daily outpatient visits to three hospitals in Shenzhen from January 1 to December 31, 2013 were collected. Daily air pollution monitoring and meteorology data from the same period were also collected in Shenzhen. The data were analyzed using a semiparametric generalized additive model with Poisson distribution of time series analysis controlling for long-term and seasonal trends, flu, DOW, public holidays, and meteorological factors. The excess risk (ER) of respiratory disease and its 95%CI value were calculated, along with the incremental increase of 10 μg/m3 in PM2.5 concentration. Results Number of outpatient visits for respiratory diseases totaled 1 428 672 (daily range:1 790-5 228). The annual average PM2.5 concentration was 40.2μg/m3 (daily range:7.2-137.1μg/m3). The lag1 factor had the most significant impact on the lag effect. We estimated that a 10 μg/m3 increase in day-before PM2.5 concentration was associated with a 1.809% (95% CI:1.709%-1.909%) ER of visits for respiratory disease. After controlling for other pollutants (NO2, CO, and O3), the effect remained stable. When NO2, CO, and O3 were introduced separately, for every 10μg/m3 rise in PM2.5 concentration, the excess risk of daily outpatient visits for respiratory disease was 1.814% (95% CI:1.706%-1.923%), 2.780% (95% CI: 2.668%-2.892%), and 1.513% (95% CI: 1.403%-1.624%), respectively. With simultaneous control of NO2 and O3, NO2 and CO, and CO and O3, for every 10μg/m3 rise in PM2.5 concentration, the excess risk of respiratory disease was 1.369% (95% CI: 1.242%-1.497%), 2.709% (95% CI: 2.590%- 2.828% ), and 2.577% (95% CI: 2.452%- 2.702% ), respectively. With simultaneous control of NO2, CO, and O3, for every 10μg/m3 rise in PM2.5 concentration, the excess risk of respiratory disease was 2.370% (95% CI: 2.231%-2.509%). Conclusions PM2.5 can increase the risk of outpatient visits for respiratory disease in Shenzhen.

Objective To explore the association of arsenic with unexplained recurrent spontaneous abortion (URSA). Methods A case?control study was conducted to select URSA patients who were admitted to the Beijing Maternal and Child Health Care Hospital affiliated to Capital Medical University from April to October 2018 as a case group. Women who had a normal pregnancy in the Family Planning Department of the hospital but volunteered to have an abortion were selected as a control group. The case and control group were paired in a 1:1 ratio. The inclusion criteria of the case group were patients with newly diagnosed recurrent spontaneous abortion who had clinically confirmed more than 2 spontaneous abortions and had 20 weeks prior to pregnancy, excluding patients with recurrent spontaneous abortion caused by abnormal blood coagulation (anti?phospholipid antibody positive), abnormal physiological anatomy (B?ultrasound), abnormal immune factors (anti?nuclear antibody positive, anti?cardiolipin antibody, etc.), genetic chromosomal abnormalities (karyotype analysis) and pathogenic microbial infection. The control group was matched according to the age of the case group (±3 years old) and the gestational age (±2 weeks) to exclude adverse pregnancy outcomes such as stillbirth, congenital malformation, premature delivery and low birth weight infants. A total of 192 subjects were included. Questionnaires were used to collect information of all subjects, and 12 ml of peripheral venous blood was collected to detect blood arsenic levels. Blood arsenic levels were divided into low concentration group (<1.00 μg/L), medium concentration group (1.00-1.50 μg/L) and high concentration group (>1.50 μg/L). The multivariate conditional logistic regression was performed to analyze the relationship between blood arsenic exposure and URSA and explore the influencing factors of blood Arsenic. Results The geometric mean values of blood arsenic level in the cases group and control group were 1.68 (1.50-1.86) μg/L and 1.26 (1.17-1.37) μg/L, respectively. The blood arsenic level in the case group was significantly higher than that in the control group (P<0.05). The results of multivariate conditional logistic regression analysis showed that after adjusting for tobacco exposure during pregnancy, pre?pregnancy body mass index and the effects of residential decoration in past five years, the risk of URSA was higher in the high?concentration group compared with the low?concentration group ( OR=2.56, 95%CI :1.06-6.24). Conclusion Blood arsenic may increase the risk of URSA in women of childbearing age.

Objective:To investigate the association of cadmium exposure with liver function among adults in a non-ferrous metal mining area in Guangxi.Methods:A total of 310 residents aged 18 and above were recruited from 5 heavy metals polluted villages in a non-ferrous metal mining area in Guangxi from 2013 to 2014. The general demographic characteristics, blood cadmium levels and indicators of liver function index [Total bilirubin (TBIL), Glutamic oxaloacetic transaminase (AST), Alanine transaminase (ALT) and Glutamine transaminase (GGT)] were obtained by using questionnaire, physical examination and laboratory test. The blood cadmium levels were divided into quartiles as Q1- Q4 groups (using Q1 group as the reference).Multivariate logistic regression model was used to analyze the correlation between the blood cadmium level and functional liver index. Results:The age of subjects was (49.2±15.4) years, and 112 (36.1%) subjects were male residents. The prevalence of abnormal rates of TBIL,AST,ALT and GGT were 17.4% (54), 19.7% (61), 10.7% (33) and 11.9% (37), respectively. The geometric mean value of cadmium levels in adults was 3.72(95% CI: 3.43-4.02) μg/L. After adjusting for age, gender, body mass index (BMI), smoking, drinking, total cholesterol, hypertriglyceridemia and other factors, the risk of abnormal AST index in the highest concentration of blood cadmium group ( Q4) was higher than that in the lowest concentration of blood cadmium group ( Q1) ( OR=2.92, 95%CI:1.07-7.98). Conclusion:The level of blood cadmium exposure is higher than the reference value of general population in China, and the elevated cadmium exposure is related to the increasing risk of AST abnormality.