<b>Objective:b> To understand the prevalence, trend and related factors on soil-borne nematode in Danzhou city to provide information for prevention and control of the disease. <b>Methods:b> According to the guidelines set by the National National soil-borne nematode technical solutions, one village was randomly chosen from every township as the monitoring location, in the east, west, south and north parts of Danzhou city. A total of 200 residents aged 3 years and over were randomly selected in each monitoring site, with modified Kato thick smear and Cellophane tape anal swab used for microscopy. <b>Results:b> In this survey, we retrospectively analyzed the rates on soil borne nematode infection in five monitoring locations of Danzhou city and the results showed that the overall positive rates of infection was 19.5% (195/1 000). Comparing with the previous surveys, rates on soil-borne parasites infection were decreasing. The main types of soil-borne nematode infection appeared as roundworm, whipworm, hookworm and pinworm in Danzhou city, with rate of hookworm-egg infection ranking the highest (42.5%, 85/200) in Dacheng. The infection rate was seen significantly higher in females than males. People aged over 60 and between 3-10, had a higher rates of infection. Rate on multiple infections reached 16.9%, including 5 triple infection cases. <b>Conclusion:b> Rates of infection on soil-borne nematodes in Danzhou city showed a decreasing trend from 2013 to 2016 with hookworm and whipworm as the major ones.
Adolescent ; Adult ; Age Distribution ; Aged ; Animals ; Child ; Child, Preschool ; China/epidemiology* ; Female ; Humans ; Male ; Middle Aged ; Nematoda/isolation & purification* ; Nematode Infections/epidemiology* ; Prevalence ; Retrospective Studies ; Serogroup ; Soil ; Surveys and Questionnaires

To understand the mutational characteristics of ATP7B gene of hepatolenticular degeneration in Xinjiang region. 24 cases were diagnosed as hepatolenticular degeneration and the exon of ATP7B gene was detected in some of their siblings and parents. A total of 45 ATP7B gene mutations (93.75%) were detected in 24 cases, of which 14 cases were homozygous mutations or compound heterozygous mutations, six cases were heterozygous mutations and four cases were no mutations. A total of 24 gene mutations and 14 SNPS were detected, including 8 new mutations: c.251C > A, c.121A > c, c.2945C > A, c.2194C > T, c.2947T > c, c.3626T > A, c.3662_3664del, c.3557G > T. The most common mutations were c.2621C > T (p.A874V) [16.7% (4/24)] and c.2333G > T (p.R778L) [12.5% ​​(3/24)]. A total of 4 cases were diagnosed as pre-symptomatic. In this study, the most common mutation in the ATP7B gene is A874V. The most common genetic mutations in Han and Uyghur patients were different. The most common mutation in Han and Uyghur patients is R778L and A874V. Exon 11 is the gene mutations hot spot for patients with hepatolenticular degeneration in Xinjiang region, and is one of the priority exons to be detected when screening patients with suspected hepatolenticular degeneration.

Adult ; Brain ; Brain Diseases ; Heat Stroke ; Humans ; Magnetic Resonance Imaging ; Male ; Retrospective Studies

<b>Objective:b> To describe the genetic structure of populations in different areas of China, and explore the effects of different strategies to control the confounding factors of the genetic structure in cohort studies. <b>Methods:b> By using the genome-wide association study (GWAS) on data of 4 500 samples from 10 areas of the China Kadoorie Biobank (CKB), we performed principal components analysis to extract the first and second principal components of the samples for the component two-dimensional diagram generation, and then compared them with the source of sample area to analyze the characteristics of genetic structure of the samples from different areas of China. Based on the CKB cohort data, a simulation data set with cluster sample characteristics such as genetic structure differences and extensive kinship was generated; and the effects of different analysis strategies including traditional analysis scheme and mixed linear model on the inflation factor (λ) were evaluated. <b>Results:b> There were significant genetic structure differences in different areas of China. Distribution of the principal components of the population genetic structure was basically consistent with the geographical distribution of the project area. The first principal component corresponds to the latitude of different areas, and the second principal component corresponds to the longitude of different areas. The generated simulation data showed high false positive rate (λ=1.16), even if the principal components of the genetic structure was adjusted or the area specific subgroup analysis was performed, λ could not be effectively controlled (λ>1.05); while, by using a mixed linear model adjusting for the kinship matrix, λ was effectively controlled regardless of whether the genetic structure principal component was further adjusted (λ=0.99). <b>Conclusions:b> There were large differences in genetic structure among populations in different areas of China. In molecular epidemiology studies, bias caused by population genetic structure needs to be carefully treated. For large cohort data with complex genetic structure and extensive kinship, it is necessary to use a mixed linear model for association analysis.
China ; Genetic Structures ; Genome-Wide Association Study ; Humans ; Linear Models ; Principal Component Analysis

<b>Objective:b> Data from the surveillance program was collected, to analyze the situation of hospitalization and cases of death with recorded causes, in Shenzhen, from 1995 to 2014. Situation of hospitalization and causes of deaths were studied in Shenzhen which had been a fast-developing city with growing number of immigrants so as to provide reference for decision-making on related prevention and control strategies. <b>Methods:b> Data on hospitalizations and deaths collected from the surveillance program, were classified by both International Classification of Diseases (ICD)- 9 and ICD-10. A database was constructed with methods on related descriptive and trend analysis. <b>Results:b> Around 6.3 million inpatients were seen in the past two decades in Shenzhen. The top five diseases for hospitalization were pregnancy childbirth and puerperium complications, respiratory diseases, injury and poisoning, digestive system diseases and circulatory system diseases, that accounting for 68.4% of all the hospitalization burden. The number of inpatients increased annually, with an 11 times increase during the past two decades. Proportions for pregnancy childbirth and puerperium complications, circulatory system diseases and urinary system diseases all showed increasing (χ(2)=53 806.94, 6 893.95 and 15 383.14, P<0.01), while proportions for injuries and poisoning, respiratory diseases, digestive system diseases showed a declining trend (χ(2)=131 480.09,1 711.84 and 11 367.66, P<0.01). Number of cumulative inpatient deaths exceeded 60 000, with the top five causes as malignant tumor, circulatory system diseases, injury and poisoning, respiratory system diseases and digestive system diseases, that accounting for 82.28% of all the inpatient deaths. Deaths due to circulatory system diseases, injury and poisoning increased and then decreased. Malignant tumor and respiratory diseases-induced deaths showed an increasing trend (χ(2)=1 546.48, 309.55, P<0.01), while induced deaths from disease of the other systems showed slight changes. The overall case fatality rate showed an annual decline (χ(2)=4 378.63, P<0.01), from 2.23% in 1995 to 0.74% in 2014, with mortality attribute to tumor, circulatory system disease decreased significantly. <b>Conclusions:b> Shenzhen had been under an ageing transition, with relatively young population living in the city. Chronic diseases such as tumor gradually had become the major causes for heavy hospitalization burden on the population of Shenzhen.
Cardiovascular Diseases/epidemiology* ; Cause of Death ; China/epidemiology* ; Female ; Global Burden of Disease ; Hospitalization/statistics & numerical data* ; Humans ; Neoplasms/epidemiology* ; Pregnancy ; Pregnancy Complications/epidemiology* ; Respiratory Tract Diseases/epidemiology*

<b>Objective:b> To examine a predictive model that incorporating high risk pathological factors for the prognosis of stage Ⅰ to Ⅲ colon cancer. <b>Methods:b> This study retrospectively collected clinicopathological information and survival outcomes of stage Ⅰ~Ⅲ colon cancer patients who underwent curative surgery in 7 tertiary hospitals in China from January 1, 2016 to December 31, 2017. A total of 1 650 patients were enrolled, aged (M(IQR)) 62 (18) years (range: 14 to 100). There were 963 males and 687 females. The median follow-up period was 51 months. The Cox proportional hazardous regression model was utilized to select high-risk pathological factors, establish the nomogram and scoring system. The Bootstrap resampling method was utilized for internal validation of the model, the concordance index (C-index) was used to assess discrimination and calibration curves were presented to assess model calibration. The Kaplan-Meier method was used to plot survival curves after risk grouping, and Cox regression was used to compare disease-free survival between subgroups. <b>Results:b> Age (HR=1.020, 95%CI: 1.008 to 1.033, P=0.001), T stage (T3:HR=1.995,95%CI:1.062 to 3.750,P=0.032;T4:HR=4.196, 95%CI: 2.188 to 8.045, P<0.01), N stage (N1: HR=1.834, 95%CI: 1.307 to 2.574, P<0.01; N2: HR=3.970, 95%CI: 2.724 to 5.787, P<0.01) and number of lymph nodes examined (≥36: HR=0.438, 95%CI: 0.242 to 0.790, P=0.006) were independently associated with disease-free survival. The C-index of the scoring model (model 1) based on age, T stage, N stage, and dichotomous variables of the lymph nodes examined (<12 and ≥12) was 0.723, and the C-index of the scoring model (model 2) based on age, T stage, N stage, and multi-categorical variables of the lymph nodes examined (<12, 12 to <24, 24 to <36, and ≥36) was 0.726. A scoring system was established based on age, T stage, N stage, and multi-categorical variables of lymph nodes examined, the 3-year DFS of the low-risk (≤1), middle-risk (2 to 4) and high-risk (≥5) group were 96.3% (n=711), 89.0% (n=626) and 71.4% (n=313), respectively. Statistically significant difference was observed among groups (P<0.01). <b>Conclusions:b> The number of lymph nodes examined was an independent prognostic factor for disease-free survival after curative surgery in patients with stage Ⅰ to Ⅲ colon cancer. Incorporating the number of lymph nodes examined as a multi-categorical variable into the T and N staging system could improve prognostic predictive validity.
Male ; Female ; Humans ; Prognosis ; Neoplasm Staging ; Retrospective Studies ; Nomograms ; Lymph Nodes/pathology* ; Risk Factors ; Colonic Neoplasms/surgery*

<b>Objective:b> To investigate the relationship between body mass index (BMI) and all-cause mortality in hypertensive population. <b>Methods:b> All participants were selected from a prospective cohort study based on a rural population from Henan province, China. Cox proportional hazards regression models were used to estimate the associations of different levels of BMI stratification with all-cause mortality. Restricted cubic spline models were used to detect the dose-response relation. <b>Results:b> Among the 5 461 hypertensive patients, a total of 31 048.38 person-years follow-up was conducted. The median of follow-up time was 6 years, and 589 deaths occurred during the follow-up period. Compared to normal weight group (18.5 kg/m(2)%CI: 0.37-1.87), 0.81 (95%CI: 0.67-0.97), and 0.72 (95%CI: 0.56-0.91), respectively. The dose-response analysis showed a nonlinear, reverse "S" shaped relationship (non-linearity P<0.001). <b>Conclusion:b> Overweight or obese might have a protective effect on all-cause mortality in hypertensive population, which supports the "obesity paradox" phenomenon.
Adult ; Asian People/statistics & numerical data* ; Blood Pressure/physiology* ; Body Mass Index ; Cause of Death ; China/epidemiology* ; Humans ; Hypertension/mortality* ; Middle Aged ; Mortality ; Obesity/mortality* ; Overweight ; Prospective Studies ; Risk Factors ; Young Adult

<b>Objective:b> To study the modification effect of age on the association between body mass index and the risk of hypertension. <b>Methods:b> People age ≥18 years old were selected by clusters, from a rural area of Henan province. In total, 20 194 people were recruited at baseline during 2007 and 2008, and the follow-up study was completed from 2013 to 2014. Logistic regression model was used to assess the risk of incident hypertension by baseline BMI and age-specific BMI. <b>Results:b> During the 6-year follow-up period, 1 950 hypertensive persons were detected, including 784 men and 1 166 women, with cumulative incidence rates as 19.96%, 20.51%, and 19.61%, respectively. Compared with those whose BMI<22 kg/m(2), the RRs of hypertension were 1.09 (0.93-1.27), 1.17 (1.01-1.37), 1.34 (1.14-1.58) and 1.31 (1.09-1.56) for participants with BMI as 22-, 24-, 26- and ≥28 kg/m(2), respectively. In young and middle-aged populations, the risk of hypertension gradually increased with the rise of BMI (trend P<0.05). However, in the elderly, the increasing trend on the risk of hypertension risk was not as significantly obvious (trend P>0.05). <b>Conclusion:b> The effect of BMI on the incidence of hypertension seemed to depend on age. Our findings suggested that a weight reduction program would be more effective on young or middle-aged populations, to prevent the development of hypertension.
Adolescent ; Age Factors ; Aged ; Asian People/statistics & numerical data* ; Body Mass Index ; Cohort Studies ; Female ; Follow-Up Studies ; Humans ; Hypertension/ethnology* ; Incidence ; Logistic Models ; Male ; Middle Aged ; Risk Factors ; Rural Population

<b>Objective:b> To explore the survival factors and construct a prognostic index (PI) for oral squamous cell carcinoma (OSCC). <b>Methods:b> From January 2004 to June 2016, a total of 634 patients with pathologically confirmed OSCC were recruited in a hospital of Fujian. The clinical and follow-up data of all the patients with pathologically confirmed OSCC were collected to identify the factors influencing the prognosis of OSCC. All the patients were randomly divided into two groups: modeling group (modeling dataset, n=318) and validation group (validation dataset, n=316). Randomization was carried out by using computer-generated random numbers. In the modeling dataset, survival rates were calculated using Kaplan-Meier method and compared using the log-rank test. Cox regression model was used to estimate the hazard ratio (HRs) and 95% confidence intervals (CIs) of prognosis factors. An PI for OSCC patients prognostic prediction model was developed based on β value of each significant variable obtained from the multivariate Cox regression model. Using the tertile analysis, patients were divided into high-risk group, moderate-risk group, and low-risk group according to the PI, the Akaike information criterion (AIC) and Harrell's c-statistic (C index) were used to evaluated the model's predictability. <b>Results:b> Results from the multivariate Cox regression model indicated that aged ≥55 years (HR=2.22, 95%CI: 1.45-3.39), poor oral hygiene (HR=2.12, 95%CI: 1.27-3.54), first diagnosis of lymph node metastasis (HR=5.78, 95%CI: 3.60-9.27), TNM stage Ⅲ-Ⅳ (stage Ⅰ as reference) (HR=2.43, 95%CI: 1.10-5.37) and poor differentiation (well differentiation as reference) (HR=2.53, 95%CI: 1.60-4.01) were the risk factors influencing the prognosis of OSCC. The PI model had a high predictability in modeling group and validation group (AIC and C index were 1 205.80, 0.700 2 and 1 150.47, 0.737 3). <b>Conclusion:b> Age, poor oral hygiene, first diagnosis of lymph node metastasis, TNM stage and histological grade were factors associated with the prognosis of OSCC, and the PI model has a certain significance in the clinical treatment of OSCC.
Carcinoma, Squamous Cell/therapy* ; China/epidemiology* ; Humans ; Lymphatic Metastasis ; Middle Aged ; Mouth Neoplasms/therapy* ; Prognosis ; Proportional Hazards Models ; Risk Factors ; Survival Rate ; Treatment Outcome

<b>Objective:b> To understand the seasonal distribution of patient hospitalization due to asthma exacerbation in 7 geographic areas in China. <b>Methods:b> This was a retrospective study which involved patients hospitalized for asthma exacerbation in 29 hospitals throughout 7 geographic areas in the mainland of China (northeast, north, central, east, south, northwest and southwest). The numbers of asthmatic patients and total inpatients of the respiratory department of each hospital were recorded. The monthly ratio of asthmatic patients to the total inpatients in every area was calculated and compared. <b>Results:b> During the study period, 6 480 patients were admitted for asthma exacerbation, accounting for 3.14% of all the 206 135 patients admitted to the respiratory departments in the 29 hospitals. The ratio of asthmatic patients to total inpatients in the northeast area (5.61%) was highest, and the ratio in east area was lowest (1.97%). Statistical analysis showed that the difference among different areas was significant (P<0.000 1). In most areas, both the number and proportion of hospitalized asthmatic patients peaked in spring (February-April) and autumn (September-October). In the northeast area, east area and south area, the peaks in spring were more obvious, while in the north area and southwest area, the peaks in autumn were more obvious. In the northwest area the peaks occurred in winter (December-January) and summer (June-August), respectively. The differences in hospitalization due to asthma among different months were significant in the northeast, north, and southwest areas (P<0.005). <b>Conclusion:b> The number of patients hospitalized for asthma exacerbation fluctuated with season in different areas in China. In most areas, more asthmatic patients were admitted to hospitals in spring and autumn.
Asthma ; China/epidemiology* ; Hospitalization/statistics & numerical data* ; Humans ; Retrospective Studies ; Seasons