摘要
Objective To analyze the pathogenic epidemiological characteristics of acute lower respiratory tract infection(ALRTI) in children in Gansu Province from 2012 to 2015. Methods The surveillance data of 458 children infected with ALRTI in 10 sentinel hospitals in Gansu province from 2012 to 2015 were collected, and infection status and epidemiological characteristics of each virus and bacteria were analyzed by descriptive study methods. Results The male to female ratio of the 458 children with ALRTI was 1.81:1, and the positive detection rate of the virus was 33.62%(95% CI:29.28%-37.97%), among which the positive detection rate of respiratory syncytial virus was the highest (12.23%).The positive detection rate of bacteria was 24.84%(95% CI:20.04%-29.65%),among which the positive detection rate of streptococcus pneumoniae was the highest (18.47%).There was significant no difference in the positive detection rate of virus and bacteria between children of different genders (P>0.05).There was significant no difference in the positive detection rate of virus among children of different age groups ( 2=5.980,P=0.050), but the positive detection rate of bacteria was different ( 2=12.078,P=0.002).Positive detection rates of virus infection and bacterial infection were different in distinct seasons (all P<0.05). By using logistics regression analysis, season, age and sentinel hospital were the influencing factors of ALRTI virus infection in children (all P<0.05), and sentinel hospital and years were the influencing factors of ALRTI bacterial infection in children (all P<0.05). Conclusion Respiratory syncytial virus, influenza virus and parainfluenza were the main causes of ALRTI virus infection in children aged 0-14 years in Gansu province, and the main bacterial infections were streptococcus pneumoniae and haemophilus influenzae, the number of virus infection was more than that of bacterial infection. Viral and bacterial infection had the same peak incidence.
摘要
@#Objective To understand pathogenic distribution and epidemiological characteristics of diarrhea syndrome in Gansu Province. Methods Fecal specimens from diarrhea syndrome surveillance cases at sentinel hospitals in Gansu Province from 2009 to 2018 were collected,and virus nucleic acids were detected by real-time fluorescent chain reaction,and bacteria were detected by isolation culture. Results 1 547 positive cases were detected from 4 406 stool specimens with the positive rate of 35. 11%. Among the positive samples,1 281 cases were positive for virus with the positive rate of 47. 20%; 287 ca- ses were positive for bacteria with the positive rate of 8. 57%. Top five of pathogenic spectrum were rota- virus ( 46. 04%) ,astrovirus ( 13. 37%) ,norovirus ( 13. 15%) ,Shigella ( 9. 90%) and adenovirus ( 7. 81%) . In different age groups,statistically significant differences were found in the positive rates of rotavirus,norovirus,astrovirus,Shigella and non typhoid Salmonella ( all P<0. 05) . The positive rate of virus was higher from November to March of next year,and the positive rate of bacteria was higher from June to August. The epidemic seasons of pathogens were different,of which rotavirus was dominating in four seasons. Conclusions The pathogenic spectrum of diarrhea is wide relatively in Gansu Province, and viral diarrhea is more common,with obvious seasonal peak. Continuous monitoring should be strengthened to grasp characteristics and epidemic trends of pathogens,and it is helpful to take targeted and seasonal preventive measures in population at high risk.
摘要
Objective To explore factors influencing the incidence of carotid atherosclerosis in different genders so as to provide reference for the specific prevention of the disease. Methods A nested case-control study was conducted to analyze factors influencing the incidence of carotid atherosclerosis in Jinchang cohort population who were randomly selected through stratified sampling by age and followed up. A risk prediction model was established and the goodness of fit was evaluated by the area under the receiver operator characteristic curve (ROC). Results The standardized incidence of carotid atherosclerosis in this follow-up population was 12.32%, and the incidence rate of males (13.65%) was greater than that of females (11.29%). The difference was statistically significant ( 2=4.267, P<0.001). Age, education, elevated systolic blood pressure, and elevated low-density lipoprotein cholesterol were common risk factors for carotid atherosclerosis in both men and women. Elevated fasting plasma glucose (OR=2.556, 95% CI: 1.618-4.038) and elevated triglyceride (OR=1.535, 95% CI: 1.058-2.227) were only associated with men. Abdominal obesity (OR=1.414, 95% CI: 1.013-1.974) was only associated with women. The area under ROC of male and female prediction models was 0.835 (95% CI: 0.815-0.856) and 0.809 (95% CI: 0.788-0.831), respectively. The sensitivity was 78.0% and 78.9%, the specificity was 78.8% and 73.1%, and the diagnostic coincidence rate was 91.3% and 82.4%, respectively. Conclusions There are different risk factors for carotid atherosclerosis in males and females, and targeted prevention and control measures should be taken according to gender. The risk prediction model established by Logistic regression had certain guiding value.
摘要
Environmental exposure to heavy metals has been linked to a wide range of human health hazards. We detected the levels of 15 metals in urine samples from 500 representative sub-samples in an ongoing occupational cohort study (Jinchang Cohort) to directly evaluate metal exposure levels. Fifteen metals, namely As, Ba, Be, Cd, Cs, Cr, Co, Cu, Pb, Mn, Ni, Se, Tl, U, and Zn, were detected by inductively coupled plasma quadruple mass spectrometry. The results showed that median creatinine adjustment and geometric mean urinary metal levels were higher in the heavy metal-exposed group, except Se and Zn, than other reported general or occupational populations. Further studies should address the effects of heavy metals on human health.
Subject(s)
Humans , China , Cohort Studies , Environmental Pollutants , Blood , Metals, Heavy , Blood , Occupational Exposure摘要
<p><b>OBJECTIVE</b>To study the association between metal exposure and risk of diabetes and prediabetes among Chinese workers exposed to metals.</p><p><b>METHODS</b>We used data obtained from the baseline survey of the Jinchang Cohort Study of workers in Jinchang Industry, the largest nickel production company in China. A total of 42,122 workers ⋝20 years of age were included in the study. A standardized, structured questionnaire was used to collect epidemiological information. Physical examinations and laboratory tests were conducted to evaluate the health status of the participants and to measure various biomarkers including blood sugar, lipids, and urinary metal concentrations. Logistic regression was used to study the association between occupational groups categorized according to the measured metal levels (office workers, low-level; mining/production workers, mid-level; and smelting/refining workers, high-level) and risk of diabetes and prediabetes.</p><p><b>RESULTS</b>The overall prevalence of diabetes and prediabetes was 7.5% and 16.8%, respectively. The adjusted odds ratios for diabetes among mining/production workers and smelting/refining workers compared to office workers were 1.5 (95% CI: 1.3, 1.7) and 3.8 (95% CI: 3.4, 4.3), respectively. No association was observed between these occupational groups and prediabetes in this study.</p><p><b>CONCLUSION</b>Occupations associated with higher levels of metal exposure were associated with an increased risk of diabetes in this cohort. More studies are needed to confirm this observed association.</p>
Subject(s)
Adult , Female , Humans , Male , Middle Aged , China , Epidemiology , Cohort Studies , Metals, Heavy , Toxicity , Urine , Occupational Exposure , Prediabetic State , Epidemiology摘要
<p><b>OBJECTIVE</b>To describe the baseline data of cancers in the Jinchang Cohort, this paper examined trends in cancer mortality among adults investigated in Jinchang, Gansu province from 2001 to 2010.</p><p><b>METHODS</b>Mortality data were collected from company departments through administrative documents, death certificates, etc. Trend analyses of cancer mortality were performed on the basis of 925 cancer deaths between 2001 and 2010.</p><p><b>RESULTS</b>The crude mortality rate of cancer continuously increased from 161.86 per 100,000 in 2001 to 315.32 per 100,000 in 2010, with an average increase of 7.69% per year in the Jinchang Cohort (16.41% in females compared to 6.04% in males), but the age-standardized mortality rate increased only in females. Thirteen leading cancers accounted for 92.10% of all cancer deaths. The five leading causes of cancer mortality in males were lung, gastric, liver, esophageal, and colorectal cancer, whereas those in females were lung, liver, gastric, breast, and esophageal cancer.</p><p><b>CONCLUSION</b>The overall cancer mortality rate increased from 2001 to 2010 in the Jinchang Cohort, with greater rate of increase in females than in males. Lung, breast, and gastric cancer, in that order, were the leading causes of increased cancer mortality in females.</p>
Subject(s)
Adult , Female , Humans , Male , China , Epidemiology , Cohort Studies , Neoplasms , Epidemiology , Mortality , Retrospective Studies , Time Factors摘要
The prevalence of metabolic syndrome (MS) was investigated in Chinese nickel-exposed workers. A total of 35 104 subjects were enrolled in this study. The age-adjusted prevalence of MS, BMI⋝25, diabetes, hypertension, and abnormal lipid was 13.9%, 29.5%, 12.8%, 27.5%, and 47.1%, respectively. The prevalence of BMI⋝25, hyperglycemia, and hypertension increased with the age of males and females, and was higher in males than in females (37.1% vs 21.5%, 15.9% vs 12.1%, 35.0% vs 24.3%, 54.3% vs 40.4%).
Subject(s)
Adult , Aged , Female , Humans , Male , Middle Aged , Young Adult , China , Epidemiology , Metabolic Syndrome , Epidemiology , Nickel , Occupational Exposure , Prevalence摘要
Objective To understand the epidemiological trend on the number of influenzalike cases and to explore the feasibility of early warning systems of influenza in Gansu province.Methods Based on data from the influenza sentinel surveillance program,a sequence chart was used to analyze the epidemiological trend on the number of influenza-like illness (ILI) cases.Both control chart and mobile percentile method were used to select the threshold of premium alert for the ILI of sentinel surveillance program.Warning effects were assessed by statistical model.Results The prevalence of influenza were both low in 2007 and 2008.Alert thresholds for ILI of Sentinel surveillance was built.The thresholds were higher alert in winter,but lower in summer.Both Seasonal Exponential Smoothing Model and Multiplicative Seasonal ARMA Model (1,1,1) (0,1,0) were used to dynamically predict the weekly percentage of outpatient visits for influenza-like illness (ILI%)of 2011.The concordance rates (predicted=actual) were 100% for both of them.According to the RMSE values,the dynamically predicted effect of the seasonal exponential smoothing model was superior to ARIMA.Conclusion Dynamic prediction on the number of influenza-like cases could reflect the epidemiological trend of influenza in Gansu province,but with some limitations.