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1.
Article in Chinese | WPRIM | ID: wpr-997256

ABSTRACT

Blastocystis is a common unicellular intestinal protozoa in humans and animals, and the most common clinical manifestations of infections include abdominal pain and diarrhea. Based on the sequence of the small-subunit ribosomal RNA (SSU rRNA) gene, 28 subtypes of B. hominis (ST1 to ST17, ST21 and ST23 to ST32) have been characterized. Previous studies have demonstrated that B. hominis infection is strongly associated with inflammatory bowel disease (IBD), irritable bowel syndrome (IBS) and other intestinal diseases, which threatens the health and quality of life among patients with B. hominis infection and is considered as an important public health problem. This review summarizes the progress of researches on B. hominis infection among IBD and IBS patients during the past 20 years, so as to provide insights into management of blastocystosis in China.


Subject(s)
Animals , Humans , Irritable Bowel Syndrome/parasitology , Blastocystis Infections/complications , Quality of Life , Blastocystis hominis/genetics , Feces/parasitology , Inflammatory Bowel Diseases/parasitology
2.
Chinese Journal of Epidemiology ; (12): 102-106, 2018.
Article in Chinese | WPRIM | ID: wpr-737926

ABSTRACT

Heavy metal is one of pollutants existed widely in the environment, its relationship with cardiovascular disease has attracted more and more attention. In this review, the concentrations of heavy metals, including lead, cadium and asenic, in the body from several national surveillance networks and the epidemiological studies on the effects of the exposure of three heavy metals on cardiovascular system were summarized. It is suggested to strengthen nationwide surveillance for body concentrations of heavy metals in general population in order to provide baseline data for quantitative evaluation of the risk of heavy metal exposure on cardiovascular disease.


Subject(s)
Humans , Cadmium , Cardiovascular Diseases/chemically induced , Environmental Exposure/adverse effects , Environmental Pollutants/toxicity , Epidemiologic Studies , Lead/toxicity , Metals, Heavy/toxicity , Neoplasms , Research/trends
3.
Chinese Journal of Epidemiology ; (12): 770-775, 2018.
Article in Chinese | WPRIM | ID: wpr-738044

ABSTRACT

Objective: To investigate the association between maternal pre-pregnant body mass index and gestational weight gain, as well as their interaction on neonatal birthweight. Methods: We built a cohort in Anqing Municipal Hospital from January 2014 to March 2015, enrolling pregnant women who decided to give birth in this hospital. All women were asked to fill a questionnaire for basic information collection. Medical information of both pregnant women and their newborns were obtained through electronic medical record. Chi-square analysis, multinomial logistic regression, multiplicative and additive interaction methods were used to analyze the association between pre-pregnant body mass index and gestational weight gain as well as their interactions on birth weight of the neonates. Results: A total of 2 881 pregnant women were included in this study. Of the 2 881 newborns, 359 (12.46%) were small for gestational age (SGA) and 273 (9.48%) were large for gestational age (LGA). After adjusting the possible confounding factors, results from the multinomial logistic regression showed that pre-pregnancy underweight women were more possible to deliver SGA (aRR=1.33, 95%CI: 1.02-1.73). If the gestational weight gain was below the recommended criteria, the risk of SGA (aRR=1.64, 95%CI: 1.23-2.19) might increase. Pre-pregnancy overweight/obese could increase the risk of being LGA (aRR=1.86, 95%CI: 1.33-2.60). Maternal gestational weight gain above the recommendation level was associated with higher rates of LGA (aRR=2.03, 95%CI: 1.49-2.78). Results from the interaction analysis showed that there appeared no significant interaction between pre-pregnancy BMI and gestational weight on birthweight. Conclusion: Pre-pregnancy body mass index and gestational weight gain were independently associated with neonatal birthweight while pre-pregnancy BMI and gestational weight gain did not present interaction on birthweight.


Subject(s)
Female , Humans , Infant, Newborn , Pregnancy , Birth Weight , Body Mass Index , Body Weight , China/epidemiology , Cohort Studies , Gestational Weight Gain , Infant, Small for Gestational Age , Logistic Models , Obesity/epidemiology , Overweight/epidemiology , Pregnancy Complications , Pregnant Women , Risk Factors , Thinness/epidemiology , Weight Gain
4.
Chinese Journal of Epidemiology ; (12): 858-861, 2018.
Article in Chinese | WPRIM | ID: wpr-738060

ABSTRACT

One of the commonly accepted merits of cohort studies (CSs) refers to the exposure precedes outcome superior to other observational designs. We use Directed Acyclic Graphs to construct a causal graph among research populations under CSs. We notice that the substitution of research population in place of a susceptible one can be used for effect estimation. Its correctness depends on the outcome-free status of the substituted population and the performance of both screening and diagnosis regarding the outcomes under study at baseline. The temporal precedence of exposure over outcome occurs theoretically, despite the opposite happens in realities. Correct effect estimate is affected by both the suitability of population substitution and the validities of outcome identification and exclusion.


Subject(s)
Causality , Cohort Studies , Confounding Factors, Epidemiologic , Epidemiologic Methods , Mass Screening , Research Design
5.
Chinese Journal of Epidemiology ; (12): 999-1002, 2018.
Article in Chinese | WPRIM | ID: wpr-738086

ABSTRACT

Confounding affects the causal relation among the population. Depending on whether the confounders are known, measurable or measured, they can be divided into four categories. Based on Directed Acyclic Graphs, the strategies for confounding control can be classified as (1) the broken-confounding-path method, which can be further divided into single and dual broken paths, corresponding to exposure complete intervention, restriction and stratification, (2) and the reserved-confounding-path method, which can be further divided into incomplete exposure intervention (in instrumental variable design and non-perfect random control test), mediator method and matching method. Among them, random control test, instrumental variable design or Mendelian randomized design, mediator method can meet the requirements for controlling all four types of confounders, while the restriction, stratification and matching methods are only applicable to known, measurable and measured confounders. Identifying the mechanisms of confounding control is a prerequisite for obtaining correct causal effect estimates, which will be helpful in research design.


Subject(s)
Humans , Causality , Confounding Factors, Epidemiologic , Models, Statistical , Random Allocation , Randomized Controlled Trials as Topic , Research Design
6.
Chinese Journal of Epidemiology ; (12): 1642-1647, 2018.
Article in Chinese | WPRIM | ID: wpr-738201

ABSTRACT

Objective: To explore the sampling method in China National Human Biomonitoring Program (HBP) and the related errors, so as to calculate and evaluate the study design in sampling. Methods: The sampling method of HBP is of multistage nature. Taking the results of sampling method from Guizhou province as an example, results related to sampling error and variation coefficient were calculated, using the multistage unequal probability sampling error method. Results: The HBP covered 152 monitoring sites in 31 provinces (autonomous regions and municipalities) and with 21 888 residents selected. The replacement rates at various stages were 5.26%, 6.35% and 40.6% respectively. The sampling error in Guizhou province was 3 207 594, and the coefficient of variation was 0.097. Conclusions: According to the multi-stage unequal probability sampling method, the sampling coefficient variability appeared small with high precision, in Guizhou province. However, this method did not consider the weight adjustment of non-sampling errors such as population missing rate and response rate. Methods related to the calculation on multi-stage sampling error among large-scale public health monitoring projects need to be further studied.


Subject(s)
Humans , China , Cities , Environmental Monitoring , Research Design
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