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 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 understand the current status of BMI of the elderly and related factors in longevity areas in China, and provide scientific evidence for the control of BMI level in elderly population. Methods: Data used in this study were obtained from Healthy Aging and Biomarkers Cohort Study, a sub-cohort of the Chinese Longitudinal Healthy Longevity Survey. A total of 2 825 elderly in 8 longevity areas in China were surveyed and measured in 2017. The BMI levels of 2 217 elderly aged 65 years and older were calculated and in follow up. The ordered classification logistic regression model was used to analyze the influencd factors for the BMI in the elderly. Results: The BMI of the elderly in 8 longevity areas in China was (22.36±3.87) kg/m², and it was (22.76±3.58) kg/m² for males and (21.75±3.98) kg/m² for females. The BMI levels were normal in 1 165 elderly persons. The prevalence of underweight, overweight and obesity were 15.8%, 24.0% and 7.7%, respectively. Multivariate analysis showed that the main factors affecting the BMI of people under 100- years old were age (65-: OR=2.78, 95%CI: 1.87-4.15; 80-: OR=1.47, 95%CI: 1.00-2.17), smoking status (OR=0.46, 95%CI: 0.32-0.66), annual household income (<30 000 Yuan: OR=1.26, 95%CI: 1.07-1.47; 30 000-70 000 Yuan: OR=1.52, 95%CI: 1.12-1.86), and frequency of tea intake(OR=1.36, 95%CI: 1.01-1.71), while the factor in people aged ≥100 years was gender (OR=3.68, 95%CI: 1.32-10.36). Conclusions The prevalence of underweight, overweight and obesity were high in the elderly from longevity areas in China. It is necessary to pay attention to the trend of overweight and obesity due to smoking, higher annual household income and regular tea drinking in the elderly men.

Objective: To analyze influencing factors for depressive symptoms in the elderly aged 65 years and older in 8 longevity areas in China. Methods: We recruited 2 180 participants aged 65 years and older in 8 longevity areas from Healthy Aging and Biomarkers Cohort Study, a sub-cohort of the Chinese Longitudinal Healthy Longevity Survey in 2017. Multivariate logistic regression analysis was performed to evaluate the relationships of socio-demographic characteristics, behavioral lifestyle, chronic disease prevalence, functional status, family and social support with depressive symptoms in the elderly. Results: The detection rate of depression symptoms was 15.0% in the elderly aged 65 years and older in 8 longevity areas of China, and the detection rate of depression symptoms was 11.5% in men and 18.5% in women. Multivariate logistic regression analysis results showed that the detection rate of depressive symptoms was lower in the elderly who had regular physical exercises (OR=0.44, 95%CI: 0.26-0.74), frequent fish intakes (OR=0.57, 95%CI: 0.39-0.83), recreational activities (OR=0.65, 95%CI: 0.44-0.96), social activities (OR=0.28, 95%CI: 0.11-0.73) and community services (OR=0.68, 95%CI: 0.50-0.93). The elderly who were lack of sleep (OR=2.04, 95%CI: 1.49-2.80), had visual impairment (OR=1.54, 95%CI: 1.08-2.18), had gastrointestinal ulcer (OR=2.97, 95%CI: 1.53-5.77), had arthritis (OR=2.63, 95%CI: 1.61-4.32), had higher family expenditure than income (OR=1.80, 95%CI: 1.17-2.78) and were in poor economic condition (OR=4.58, 95%CI: 2.48-8.47) had higher detection rate of depressive symptoms. Conclusion The status of doing physical exercise, fish intake in diet, social activity participation, sleep quality or vision, and the prevalence of gastrointestinal ulcers and arthritis were associated with the detection rate of depressive symptoms in the elderly.

Objective: To understand the relationship between visual impairment and risk of all-cause mortality in the elderly aged 65 years and older in 8 longevity areas in China. Methods: The data of the elderly aged 65 years and older in the project in 2012 were obtained from Healthy Aging and Biomarkers Cohort Study, a sub-cohort of the Chinese Longitudinal Healthy Longevity Survey, including physical measurement and survival status, and a follow-up for survival outcomes were conducted in 2014 and 2017 respectively. Cox proportional hazard regression model was used to analyze the influence of visual impairment on mortality. Gender and age specific analysis was conducted. Results: A total of 1 736 elderly adults were included. A total of 943 deaths occurred during the 5-year follow-up period with a 5-year mortality rate of 54.3%. The 5-year mortality rate was 76.7% in the group with visual impairment, and 47.6% in the group without visual impairment (P<0.001). After adjusting for demographic information, life style and some disease factors, the risk of 5-year mortality in the group with visual impairment group was 1.30 times higher than that in the group without visual impairment (HR=1.30, 95%CI: 1.09-1.55). In the females, the risk for mortality in the group with visual impairment was 1.48 times higher than that in the group without visual impairment (HR=1.48, 95%CI:1.20-1.84). However, vision status was not associated with the risk for mortality in males (HR=1.02, 95%CI: 0.72-1.43). The risk for mortality in the group with visual impairment was 1.39 times higher than that in the group without visual impairment in the elderly aged over 90 years (HR=1.39, 95%CI: 1.13-1.70). Vision status was not associated with mortality risk in the elderly aged 65-79 years and 80-89 years (HR=1.37, 95%CI: 0.61-3.07; HR=0.95, 95%CI: 0.61-1.48). Conclusion In the elderly people in China, visual impairment is a risk factor for mortality.