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.

Background::The heavy metals cadmium (Cd) and mercury (Hg) are known to be widespread environmental contaminants and high occupational exposure adversely affects the risk of chronic kidney disease (CKD). However, evidence from epidemiological studies linking low Cd and Hg exposure (or non-industrial) to the risk of progression to CKD are conflicting. This study aimed to explore the association of low Cd and Hg exposure with the risk of CKD in Chinese adults aged ≥80 years.Methods::The participants were recruited for the Healthy Aging and Biomarkers Cohort Study in 2017, an ongoing perspective survey conducted in longevity areas in China initially involving 3016 older adults. We used logistic regression models to estimate odds ratios (ORs) with 95% confidence intervals of CKD setting Cd and Hg as categorical variables. Logistic regression with restricted cubic spline was used to characterize a dose-response relationships between Cd or Hg concentrations and the risk of CKD in the study population.Results::The ORs for the risk of CKD comparing the fourth to the first quartile of blood Cd, blood Hg, urine Cd, and urine Hg were 1.77, 1.57, 2.03, and 1.50, respectively. Restricted cubic spline models showed that blood Cd and urine Hg were significantly linearly correlated with the risk of CKD, while blood Hg and urine Cd were non-linearly correlated with the risk of CKD with a steeper slope at concentrations <2.30 μg/L and 3.30 μg/g creatinine.Conclusions::Our findings suggest that even low Cd and Hg exposure (or non-industrial) were associated with increased risk of CKD in Chinese oldest old, although we did not find a significant multiplicative and additive interaction between Cd and Hg levels in relation to the risk of CKD.

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.