1.Seroprevalence and risk factors for Toxoplasma gondii in sheep and goats in Jinzhou, Northeastern China
Xu, P., Li, X., Tang, F., Liu, Y.H., Kou, X., Zhao, M.L., Li, B., Guo, L., Liu, X.G., Zhao, Q.
Tropical Biomedicine 2015;32(3):563-567
In the present study, serum samples from 402 sheep and 216 goats were collected
from 5 counties in Jinzhou from August to October 2012 and antibodies to Toxoplasma gondii
were detected by modified agglutination test (MAT). Overall, 104 (16.8%) had antibodies to T.
gondii with antibody titres of 1:25 to 1:800. Seropositive samples were distributed in all the
5 counties and seroprevalences of T. gondii varied significantly with flock size, age and
rearing system, but not with breed, gender and farm location. The seroprevalences in small
farms (18.3%, 95/518, 95% confidence interval [CI], 15.0-21.7%) were statistically higher than
that in large farms (9%, 9/100, 95% CI, 3.4-14.6%) (P < 0.05), older animals were statistically
higher than that in younger animals (P < 0.01). The prevalence in extensively and semiintensively
raised samples was statistically higher than that in intensively raised animals (P
< 0.01). Small flock size and extensive rearing system are the potential risk factors for the
prevalence of Toxoplasma infection in sheep and goats in Jinzhou. This is the first report of
T. gondii infection in sheep and goats in Jinzhou, northeastern China, and of an association of
seropositivity to T. gondii and the risk factors.
2.Association between congenital heart disease and medication taken during pregnancy among women of childbearing age.
M M LI ; L Q GUO ; S S LI ; Q ZHANG ; D D ZHAO ; B Y ZHANG ; S N DANG ; H YAN
Chinese Journal of Epidemiology 2018;39(10):1333-1338
Objective: To analyze the relationship between medication taken during pregnancy and congenital heart disease of the newborns. Methods: A large cross-sectional survey was conducted between August and November 2013. A questionnaire survey was conducted among the childbearing aged women, selected through multistage stratified random sampling in Shaanxi from 2010 to 2013. All of the childbearing aged women under study were in pregnancy and with definite pregnancy outcomes. Multivariable Poisson regression was conducted for data analyses. Results: A total of 28 680 cases were included in this study. The proportion of medication taken at any time during pregnancy was 16.0%, and the prevalence of congenital heart disease among the newborns was 67.9/10 000. After adjustment for factors as general demographic characteristic, history of heart disease and drug allergy and the situation of disease during pregnancy of these women, results from the multivariable Poisson regression showed that, factors as taking drugs (RR=1.95, 95%CI: 1.42- 2.68), cold medicine (RR=1.68, 95%CI: 1.07-2.64), antibiotics (RR=1.90, 95%CI: 1.25-2.90), salicylates (RR=5.01, 95%CI: 1.84-13.64) and antifungal drugs (RR=10.22, 95%CI: 3.25-32.19) during pregnancy were all related to congenital heart disease, and with the history of taking cold medicine (RR=1.90, 95%CI: 1.01-3.61), antibiotics (RR=2.18, 95%CI: 1.17-4.06), salicylates (RR=6.07, 95%CI: 1.45-25.41), antifungal drugs (RR=21.01, 95%CI: 4.17-105.87) and other drugs (RR=2.31, 95%CI: 1.19-4.47) during early pregnancy. These factors were with higher risks for congenital heart disease. Conclusion: Women of childbearing age who took cold medicine, antibiotics, salicylic acid drugs, antifungal drugs and other drugs during early pregnancy would increase the risks related to congenital heart diseases.
Adult
;
Cross-Sectional Studies
;
Drug Therapy
;
Drug-Related Side Effects and Adverse Reactions
;
Female
;
Heart Diseases/epidemiology*
;
Humans
;
Infant, Newborn
;
Pregnancy
;
Pregnancy Outcome
;
Prevalence
;
Surveys and Questionnaires
3.Effects of PNPLA3, TM6SF2 gene polymorphisms and its interactions with smoking and alcohol drinking on hepatitis B virus-associated hepatocellular carcinoma.
L Q WANG ; W H GUO ; Z W GUO ; P QIN ; R ZHANG ; X M ZHU ; D W LIU
Chinese Journal of Epidemiology 2018;39(12):1611-1616
Objective: To explore the SNP effects of patatin-like phospholipase domain which containing 3 (PNPLA3), transmembrane 6 superfamily member 2 (TM6SF2) gene, environmental effects of smoking, alcohol drinking and interaction between gene-gene, gene-environment and drinking-smoking on hepatitis B virus-associated hepatocellular carcinoma (HBV-HCC). Methods: We collected anticoagulant peripheral blood from patients of HBV-HCC, chronic hepatitis B (CHB), liver cirrhosis (LC) and from healthy controls to detect the single nucleotide polymorphism (SNP) of patatin-like phospholipase domain containing 3 (PNPLA3) gene loci rs738409 and transmembrane 6 superfamily member 2 (TM6SF2) gene loci rs58542926, using the flight mass spectrometry method. The optimal assignment value of gene polymorphisms was defined by using the online SNP stats. Hardy-Weinberg (H-W) balance was tested for SNP. Effects of the genetic and environmental factors to HBV-HCC were analyzed by using the multiple classification logistic regression method. The gene-gene, gene-smoking and alcohol drinking interaction effects were investigated by Fork-Life analysis and binary logistic regression methods. Results: The frequency distribution of CHB group rs738409 loci seemed not in conformity with the H-W balance (χ(2)=11.980, P<0.005). Two loci frequency distributions in the other groups were all in accordandce with the H-W balance. After adjusting for influences on age and sex and comparing to the healthy group, the rs58542926 mutation appeared as OR=1.659, 95%CI: 1.026-2.684, P=0.039, in the HBV-HCC group. When comparing to CHB group, the HBV-HCC group presented that drinking as OR=1.680, 95%CI: 1.121-2.519, P=0.012. When comparing to the LC group, the ORs of drinking and smoking were 1.539 (1.071-2.213) and 1.453 (1.005-2.099) respectively, in the HBV-HCC group. When comparing to the CHB+LC group, interactions between the HBV-HCC group were found rs738409 and rs58542926 on additive model OR=1.548 (U=1.885, P=0.029) and OR=1.658 (P=0.024) on logistic regression model while drinking was rs738409 on interaction additive model with OR=1.811(U=1.965, P=0.024). As for drinking and mutation of rs738409, the multiplication model of logistic regression showed no statistically significant differences. Interaction between smoking and drinking appeared as OR=1.756 (P<0.001) in the logistics regression multiplication model. Conclusions: Factors as mutation of TM6SF2, smoking and drinking all appeared as risk factors for HBV-HCC. Mutations of both PNPLA3 and TM6SF2, together with smoking and drinking all served as risk factors for HBV-HCC. However, the mutation of single PNPLA3 appeared as a protective factor on HBV-HCC.
Alcohol Drinking/adverse effects*
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Carcinoma, Hepatocellular/virology*
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Case-Control Studies
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Epistasis, Genetic
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Gene-Environment Interaction
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Genetic Predisposition to Disease
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Genotype
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Hepatitis B virus
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Hepatitis B, Chronic
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Humans
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Lipase/genetics*
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Liver Cirrhosis, Alcoholic/complications*
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Liver Neoplasms/virology*
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Membrane Proteins/genetics*
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Polymorphism, Single Nucleotide
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Smoking/adverse effects*
4.Estimation on the incidence and mortality of kidney cancer in China, in 2014.
S Z LIU ; L W GUO ; X Q CAO ; Q CHEN ; S K ZHANG ; M ZHANG ; D YU ; P L QUAN ; X B SUN ; W Q CHEN
Chinese Journal of Epidemiology 2018;39(10):1346-1350
Objective: To estimate the incidence and mortality of kidney cancer in China in 2014, based on the cancer registration data. Data was collected through the National Central Cancer Registry (NCCR). Methods: All together, 449 cancer registries submitted required data on incidence and deaths of kidney cancer occurred in 2014, to the NCCR. After evaluation on the quality of data,339 registries were accepted for analysis and stratified by areas (urban/rural) and age groups. Combined with data from the National population in 2014, the nationwide incidence and mortality of kidney cancer were estimated. Data from the 2000 National census was used, and with Segi's population used for the rates of age-standardized incidence/mortality. Results: The qualified 339 cancer registries covered a total population of 288 243 347, with 144 061 915 in urban and 144 181 432 in rural areas. The percentage of morphologically verified cases and cases with only available death certificates were 72.70% and 1.27%, respectively. The mortality to incidence ratio was 0.37. The estimates of new cases were around 68 300 in whole China, in 2014, with a crude incidence rate as 4.99/100 000 (95%CI: 4.95/100 000-5.03/100 000). The age-standardized incidence rates of kidney cancer, estimated by China standard population (ASR China) and world standard population (ASR world) were 3.43/100 000 (95%CI: 3.40/100 000-3.46/100 000) and 3.40/100 000 (95%CI: 3.37/100 000- 3.43/100 000), respectively. The cumulative incidence rate of kidney cancer was 0.40% in China. The crude and ASR China incidence rates for males appeared as 6.09/100 000 (6.03/100 000-6.15/100 000) and 4.32/100 000 (4.28/100 000-4.36/100 000), respectively, whereas those were 3.84/100 000 (3.79/100 000-3.89/100 000) and 2.54/100 000 (2.50/100 000-2.58/100 000) for females. The crude and ASR China incidence rates in urban areas appeared as 6.60/100 000 (95%CI: 6.54/100 000-6.66/100 000) and 4.25/100 000 (95%CI: 4.21/100 000-4.29/100 000), respectively, whereas those were 3.05/100 000 (95%CI: 3.01/100 000-3.09/100 000) and 2.29/100 000 (95%CI: 2.25/100 000-2.33/100 000) in rural areas. The estimates of kidney cancer deaths were around 25 600 in the country, in 2014, with a crude mortality rate of 1.87/100 000 (95%CI: 1.85/100 000-1.89/100 000). The ASR China and ASR world mortality rates appeared as 1.16/100 000 (95%CI: 1.14/100 000-1.18/100 000) and 1.16/100 000(95%CI: 1.14/100 000-1.18/100 000), respectively, with a cumulative mortality rate (0-74 years old) of 0.12%. The crude and ASR China mortality rates were 2.31/100 000 (95%CI: 2.27/100 000- 2.35/100 000) and 1.52/100 000 (95%CI: 1.50/100 000-1.54/100 000) for males, respectively, whereas those were 1.41/100 000 (95%CI: 1.38/100 000-1.44/100 000) and 0.81/100 000 (95%CI: 0.79/100 000- 0.83/100 000) for females. The crude and ASR China mortality rates were 2.49/100 000 (95%CI: 2.45/100 000-2.53/100 000) and 1.42/100 000 (95%CI: 1.40/100 000-1.44/100 000) in urban areas, respectively, whereas those were 1.12/100 000 (95%CI: 1.09/100 000-1.15/100 000) and 0.78/100 000 (95%CI: 0.76/100 000-0.80/100 000) in the rural areas. Conclusions: Both the incidence and mortality of kidney cancer seemed low, in China. However, the incidence of kidney cancer had greatly increased. Our findings suggested that prevention and control strategies for kidney cancer should be focused on males in the urban areas.
Adolescent
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Adult
;
Aged
;
Child
;
Child, Preschool
;
China/epidemiology*
;
Female
;
Humans
;
Incidence
;
Infant
;
Infant, Newborn
;
Kidney Neoplasms/mortality*
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Male
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Middle Aged
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Registries
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Rural Population
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Urban Population
;
Young Adult
5.Interpretation for the group standards in data management for large population-based cohorts.
C Q YU ; Y N LIU ; J LYU ; Z BIAN ; Y L TAN ; Y GUO ; H J TANG ; X YANG ; L M LI
Chinese Journal of Epidemiology 2019;40(1):17-19
Precision medicine became the key strategy in development priority of science and technology in China. The large population-based cohorts become valuable resources in preventing and treating major diseases in the population, which can contribute scientific evidence for personalized treatment and precise prevention. The fundamental question of the achievements above, therefore, is how to construct a large population-based cohort in a standardized way. The Chinese Preventive Medicine Association co-ordinated experienced researchers from Peking University and other well-known institutes to write up two group standards Technical specification of data processing for large population-based cohort study (T/CPMA 001-2018) and Technical specification of data security for large population-based cohort study (T/CPMA 002-2018), on data management. The standards are drafted with principles of emphasizing their scientific, normative, feasible, and generalizable nature. In these two standards, the key principles are proposed, and technical specifications are recommended in data standardization, cleansing, quality control, data integration, data privacy protection, and database security and stability management in large cohort studies. The standards aim to guide the large population-based cohorts that have been or intended to be established in China, including national cohorts, regional population cohorts, and special population cohorts, hence, to improve domestic scientific research level and the international influence, and to support decision-making and practice of disease prevention and control.
China
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Cohort Studies
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Delivery of Health Care
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Humans
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Population Surveillance
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Quality Control
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Reference Standards
7.Effect of famine exposure on the risk of chronic disease in later life among population in Harbin.
S S JIN ; B YU ; S C YAN ; W SUN ; X M CUI ; X ZHOU ; L Q YANG ; L X NA ; Y GUO ; Z BIAN ; L M LI ; Z M CHEN
Chinese Journal of Epidemiology 2018;39(10):1314-1318
Objective: To study the relations between famine exposure and the risk of chronic diseases as diabetes mellitus, obesity, hypertension, coronary heart disease and stroke in the population of Harbin. Methods: Our data was collected from the baseline survey-the China Kadoorie Biobank project (CKB) in Harbin. Retrospective cohort study design was used. Related risks on chronic diseases including diabetes mellitus, obesity, hypertension, coronary heart disease and stroke, were compared among the famine exposed or non-exposed people, respectively by logistic analysis method. Results: After adjusted for factors as age, sex, physical activity, smoking, alcohol intake, diet, family history of diseases, it appeared that the factor 'famine exposure' had increased the risks of diseases as obesity (OR=1.204, 95%CI: 1.104-1.313, P<0.01), hypertension (OR=1.315, 95%CI: 1.210-1.429, P<0.01) and coronary heart disease (OR=1.495, 95%CI: 1.369-1.632, P<0.01). The lower the age of population being exposed to famine, the greater the risk of the development of all kinds of chronic diseases. Conclusions: Famine exposure appeared a risk factor for obesity, hypertension, and coronary heart disease. It is of great significance to ensure the life-long nutrition of the people, especially in the early and adolescent stages, to prevent obesity, hypertension, and coronary heart disease in their later lives.
Adolescent
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China/epidemiology*
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Chronic Disease/epidemiology*
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Coronary Disease/epidemiology*
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Diabetes Mellitus/epidemiology*
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Female
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Humans
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Hypertension/epidemiology*
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Obesity/epidemiology*
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Pregnancy
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Prenatal Exposure Delayed Effects/epidemiology*
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Retrospective Studies
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Socioeconomic Factors
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Starvation/epidemiology*
9.Family history and risk of coronary heart disease.
J H SI ; R R MENG ; C Q YU ; Y GUO ; Z BIAN ; Y L TAN ; P PEI ; J S CHEN ; Z M CHEN ; J LYU ; L M LI
Chinese Journal of Epidemiology 2018;39(2):173-178
Objective: To evaluate the association of family history with risk of major coronary events (MCE) and ischemic heart disease (IHD). Methods: After excluding participants with heart disease, stroke or cancer at baseline survey, a total of 485 784 participants from the China Kadoorie Biobank, who had no missing data on critical variables, were included in the analysis. Cox regression analysis was used to estimate the hazard ratios (HR) and 95% CI. Subgroup analyses were performed according to the baseline characteristics. Results: During a median of 7.2 years of follow-up, we documented 3 934 incident cases of MCE and 24 537 cases of IHD. In multivariable-adjusted models, family history was significantly associated with risk of MCE and IHD. The adjusted HRs (95%CI) were 1.41 (1.19-1.65) and 1.25 (1.18-1.33), respectively. History of disease among siblings was more strongly associated with early-onset MCE than parental history (HR=2.97, 95%CI: 1.80-4.88). Moreover, the association of family history with MCE and IHD was stronger in persons who were overweight or obesive, and the association between family history and MEC was stronger in smokers. Conclusion: This large-scale, prospective study indicated that family history was an independent risk factor for MCE and IHD in China. The intervention targeting major known lifestyle risk factors and the management of chronic diseases should be strengthened for Chinese population, especially for the individuals with family history were at high risk.
Asian People/statistics & numerical data*
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China/epidemiology*
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Coronary Disease/genetics*
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Humans
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Incidence
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Myocardial Ischemia/genetics*
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Overweight/ethnology*
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Proportional Hazards Models
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Prospective Studies
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Risk Assessment
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Risk Factors
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Smoking/ethnology*
10.Levels of calcaneus bone mineral density in adults from 10 regions of China.
Y J QIAO ; X LI ; M WU ; C Q YU ; Y GUO ; Z BIAN ; Y L TAN ; P PEI ; J S CHEN ; Z M CHEN ; J LYU ; L M LI
Chinese Journal of Epidemiology 2018;39(4):422-427
Objective: To describe the regional and population-related differences in calcaneus bone mineral density (BMD) across ten regions of China. Methods: Based on the results: from the second Re-survey of China Kadoorie Biobank project, in which 5% of the surviving participants were interviewed during 2013-2014 and 24 677 participants aged 38-87 years were included in the study. We excluded those people with missing data for BMD and important variables. Calcaneus BMD was measured using the quantitative ultrasound bone densitometer. We analyzed four indexes, including broadband ultrasound attenuation (BUA), speed of sound (SOS), stiffness index (SI), and T score. Results The average calcaneus BMDs of the present population were: BUA (109.7±12.6) dB/MHz, SOS (1 554.7±45.6) m/s, SI (88.3±18.8), T score (-0.74±1.28). Urban residents showed higher calcaneus BMD, so as in men. The calcaneus BMD decreased by age, with a larger decline seen in women. Current smokers and postmenopausal women presented lower calcaneus BMD, while in those who frequently drank milk or yogurt or being physically more active, had higher calcaneus BMD. Conclusion: Calcaneus BMD varied greatly among people from the ten regions of CKB study and among participants having different demographic characteristics, lifestyle behaviors or health conditions.
Absorptiometry, Photon/methods*
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Adult
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Age Factors
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Aged
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Aged, 80 and over
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Bone Density/physiology*
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Calcaneus/diagnostic imaging*
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China
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Female
;
Humans
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Male
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Middle Aged
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Residence Characteristics
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Rural Population
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Sex Factors
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Ultrasonography
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Urban Population