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.Prevalence of thyroid function in pregnant and lactating women in areas with different iodine levels of Shanxi province.
Y T REN ; Q Z JIA ; X D ZHANG ; B S GUO ; F F ZHANG ; X T CHENG ; Y P WANG
Chinese Journal of Epidemiology 2018;39(5):609-613
Objective: To investigate the effects of high iodine intake on thyroid function in pregnant and lactating women. Methods: A cross sectional epidemiological study was conducted among 130 pregnant women and 220 lactating women aged 19-40 years in areas with high environment iodine level (>300 μg/L) or proper environment iodine level (50-100 μg/L) in Shanxi in 2014. The general information, urine samples and blood samples of the women surveyed and water samples were collected. The water and urine iodine levels were detected with arsenic and cerium catalysis spectrophotometric method, the blood TSH level was detected with electrochemiluminescence immunoassay, and thyroid stimulating hormone (FT(4)), antithyroid peroxidase autoantibody (TPOAb) and anti-thyroglobulin antibodies (TGAb) were detected with chemiluminescence immunoassay. Results: The median urine iodine levels of the four groups were 221.9, 282.5, 814.1 and 818.6 μg/L, respectively. The median serum FT(4) of lactating women in high iodine area and proper iodine area were 12.96 and 13.22 pmol/L, and the median serum TSH was 2.45 and 2.17 mIU/L, respectively. The median serum FT(4) of pregnant women in high iodine area and proper iodine area were 14.66 and 16.16 pmol/L, and the median serum TSH was 2.13 and 1.82 mIU/L, respectively. The serum FT(4) levels were lower and the abnormal rates of serum TSH were higher in lactating women than in pregnant women in both high iodine area and proper iodine area, the difference was statistically significant (FT(4): Z=-6.677, -4.041, P<0.01; TSH: Z=8.797, 8.910, P<0.01). In high iodine area, the abnormal rate of serum FT(4) in lactating women was higher than that in pregnant women, the difference was statistically significant (Z=7.338, P=0.007). The serum FT(4) level of lactating women in high iodine area was lower than that in proper iodine area, the difference was statistically significant (Z=-4.687, P=0.000). In high iodine area, the median serum FT(4) in early pregnancy, mid-pregnancy and late pregnancy was 16.26, 14.22 and 14.80 pmol/L, respectively, and the median serum TSH was 1.74, 1.91 and 2.38 mIU/L, respectively. In high iodine area, the serum FT(4) level in early pregnancy was higher than that in mid-pregnancy and late pregnancy, and the serum TSH level was lower than that in mid-pregnancy and late pregnancy, the difference was statistically significant (FT(4): Z=-2.174, -2.238, P<0.05; TSH: Z=-2.985, -1.978, P<0.05). There were no significant differences in the positive rates of serum thyroid autoantibodies among the four groups of women and women in different periods of pregnancy (P>0.05). The morbidity rates of subclinical hyperthyroidism in pregnant women and lactating women in high iodine area were obviously higher than those in proper iodine areas, the difference was statistically significant (χ(2)=5.363, 5.007, P<0.05). Conclusions: Excessive iodine intake might increase the risk of subclinical hypothyroidism in pregnant women and lactating women. It is suggested to strengthen the iodine nutrition and thyroid function monitoring in women, pregnant women and lactating women in areas with high environmental iodine.
Adult
;
China/epidemiology*
;
Cross-Sectional Studies
;
Female
;
Humans
;
Hypothyroidism/epidemiology*
;
Iodides/administration & dosage*
;
Iodine/urine*
;
Lactation
;
Nutritional Status
;
Pregnancy
;
Prevalence
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Thyroid Diseases/epidemiology*
;
Thyroid Function Tests
;
Thyroid Gland/physiology*
;
Young Adult
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*
5.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
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Aged
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Child
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Child, Preschool
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China/epidemiology*
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Female
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Humans
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Incidence
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Infant
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Infant, Newborn
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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
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Young Adult
8.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.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
10.Systematic review on the characteristics of acute gastroenteritis outbreaks caused by sapovirus.
Y YU ; X H GUO ; H Q YAN ; Z Y GAO ; W H LI ; B W LIU ; Q Y WANG
Chinese Journal of Epidemiology 2019;40(1):93-98
Objective: To understand the epidemiological and etiological characteristics of outbreaks on acute gastroenteritis caused by sapovirus (SaV) worldwide. Methods: Literature about the outbreaks on acute gastroenteritis caused by SaV were retrieved from the databases including WanFang, CNKI, PubMed and Web of Science after evaluation. Time, geography, setting and population distributions of outbreaks, transmission mode, SaV genotype and clinical characteristics of the patients were analyzed. Results: A total of 34 papers about SaV were included, involving 146 outbreaks occurred between October 1976 and April 2016. In these papers, 138 outbreaks were reported on the related months. All these outbreaks occurred in northern hemisphere. SaV outbreaks occurred all year around, but mainly in cold season, the incidence was highest in December (25 outbreaks) and lowest in in August (2 outbreaks). Most outbreaks were reported by Japan, followed by Canada, the United States of America and the Netherlands. There were 141 outbreaks for which the occurring settings were reported, child-care settings were most commonly reported setting (48/141, 34.04%), followed by long-term care facility (41/141, 29.08%) and hospital (16/141, 11.35%). Clinical symptoms of 1 704 cases in 31 outbreaks were reported, with the most common symptom was diarrhea (1 331/1 704, 78.12%), followed by nausea (829/1 198, 69.20%), abdominal pain (840/1 328, 63.25%), vomiting (824/1 704, 48.36%) and fever (529/1 531, 34.53%). Genotypes of SaV were determined for 119 outbreaks. GⅠ(51/119, 42.86%) and GⅣ (45/119, 37.82%) were predominant. The outbreaks of GⅣ SaV increased suddenly in 2007, and the outbreaks of GⅠ SaV mainly occurred in 2008 and during 2011-2013. Conclusions: SaV outbreaks were reported mainly by developed countries, with most outbreaks occurred in cold season, in child-care settings and long term care facility. GⅠ and GⅣ were the most common genotypes of SaV. Prevention and control of SaV outbreak in China seemed relatively weak, and it is necessary to conduct related training and to strengthen the SaV outbreak surveillance in areas where service is in need.
Caliciviridae Infections/virology*
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Child
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China/epidemiology*
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Disease Outbreaks
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Feces/virology*
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Gastroenteritis/virology*
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Genotype
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Humans
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Phylogeny
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RNA, Viral/genetics*
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Sapovirus/isolation & purification*
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Sequence Analysis, DNA