Objective: To study the prevalence and characteristics of overweight and obesity among Chinese children aged 0-5 years, in 2010-2013. Methods: Data was from the'China Nutrition and Health Surveillance-0-5-Years-Old Children and Lactating Women'project in 2013. Stratified multistage cluster sampling method was used to select 55 districts/counties from 30 provinces (autonomous regions, municipalities) with the sample size of children as 32 862. Definition of overweight and obesity were according to both the WHO 2006 growth standard in children less than 5-year-old and the WHO 2007 growth reference in children of 5-years-old. Results: were calculated by complex weight based on national census from the National Bureau of Statistics in 2010. Results The overall prevalence of overweight was 8.4% among the 0-5-year-old in 2013, with 9.4% in boys and 7.2% in girls. Both of the rates from urban and rural areas were the same, as 8.4%. The prevalence rates of overweight in the 0-, 6-, 12-, 24-, 36-, 48- and 60-71 months age groups appeared as 13.0%, 11.1%, 8.3%, 6.0%, 4.8%, 3.9% and 15.9%, respectively. The rates of overweight in low, medium and high income families were 8.0%, 8.8% and 8.9%, respectively. The prevalence of obesity was 3.1% among the 0-5-year-old, with 3.6% in boys and 2.5% in girls. There was no significant difference seen in urban (3.3%) and rural areas (2.9%). The prevalence rates for obesity in the 0-, 6-, 12-, 24-, 36-, 48- and 60-71 months age groups were 5.8%, 3.8%, 2.5%, 1.6%, 1.2%, 1.3% and 7.8%, respectively. The rates of obesity in low, medium and high income families were 2.8%, 3.3% and 3.5%, respectively. Conclusion: The prevalence rates of both overweight and obesity were increasing among the 0-5-year-olds in China, suggesting that it is necessary to timely conduct the surveillance and intervention programs on overweight and obesity in this target population.
Adolescent ; Asian People/statistics & numerical data* ; Body Mass Index ; Body Weight ; Child ; Child, Preschool ; China/epidemiology* ; Female ; Humans ; Income ; Infant ; Infant, Newborn ; Lactation ; Male ; Nutritional Status ; Obesity/ethnology* ; Overweight/ethnology* ; Prevalence

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* ; Carcinoma, Hepatocellular/virology* ; Case-Control Studies ; Epistasis, Genetic ; Gene-Environment Interaction ; Genetic Predisposition to Disease ; Genotype ; Hepatitis B virus ; Hepatitis B, Chronic ; Humans ; Lipase/genetics* ; Liver Cirrhosis, Alcoholic/complications* ; Liver Neoplasms/virology* ; Membrane Proteins/genetics* ; Polymorphism, Single Nucleotide ; Smoking/adverse effects*

Male ; Humans ; Prostate/pathology* ; Adenocarcinoma/pathology* ; Giant Cells/pathology*

Cross-Sectional Studies ; Depression/epidemiology* ; Humans ; Job Satisfaction ; Occupational Stress/epidemiology* ; Oil and Gas Fields ; Stress, Psychological ; Surveys and Questionnaires

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

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* ; Child ; China/epidemiology* ; Disease Outbreaks ; Feces/virology* ; Gastroenteritis/virology* ; Genotype ; Humans ; Phylogeny ; RNA, Viral/genetics* ; Sapovirus/isolation & purification* ; Sequence Analysis, DNA

Alanine Transaminase ; Animals ; Carbon Tetrachloride ; Gastrointestinal Microbiome ; Liver/pathology* ; Liver Cirrhosis/pathology* ; Male ; Mice ; Mice, Inbred C57BL ; Quinazolines

Objective: To analyze the prevalence and co-prevalence of cardio-metabolic related risk factors in farmers aged ≥18 years in China, to explore the influence of population economic factors on them. Methods: A total of 3 367 farmers, including fishermen or hunters, aged ≥18 years were selected as study subjects from the database of Nutritional Status and Health Transition of Chinese Residents Project in 2015. Basic information (age, gender), data on anthropometric (body height, weight and waist size), blood biochemical and socioeconomic (occupation, income, education level and living area) were included. According to the definition of the metabolic syndrome released by the International Diabetes Federation (IDF) in 2005, five cardio-metabolic risk factors appeared as central obesity, increased triglycerides, decreased HDL-C, increased blood pressure and increased plasma glucose. Co-prevalence of risk factors was defined as detecting 2 or more risk factors in a person at the same time. Multivariate logistic regression model was used to analyze the relationship between socioeconomic factors and metabolic risk factors. Results: In 3 367 framers of 15 provinces (autonomous region and municipality), the prevalence rates of central obesity, increased blood pressure, increased plasma glucose, increased triglycerides and decreased HDL-C were 51.8%, 59.0%, 17.0%, 25.5% and 38.7% respectively. Multivariate logistic regression analysis showed that the risks for central obesity (OR=3.69, 95%CI: 3.17-4.28) and decreased HDL-C (OR=3.28, 95%CI: 2.81- 3.82) were higher in women than in men, and the risks for increased blood pressure (OR=0.73, 95%CI: 0.63-0.84), increased blood glucose (OR=0.80, 95%CI: 0.67-0.97) were lower in women than in men. Age was positively correlated with the prevalence or co-prevalence of metabolic risk factors (trend P<0.05). Framers in western China had obviously lower risk for central obesity compared with farmers in central China. No significant correlation was found between farmers' income level, education level or the prevalence of metabolic risk factors. Conclusion: In 15 provinces of China, the prevalence of at least 1 kind of cardio-metabolic risk factor was found in 85.5% of the farmers, and the co-prevalence of cardio-metabolic risk factor was found in 60% of farmers. The prevalence and co-prevalence of cardio-metabolic risk factors were significantly associated with age and gender. It is suggested to take targeted nutritional intervention and health education according to the distribution characteristics of prevalence and co-prevalence of cardio-metabolic factors and strengthen the early prevention and control programs of the diseases.
Adolescent ; Adult ; Body Mass Index ; China/epidemiology* ; Cross-Sectional Studies ; Farmers ; Female ; Humans ; Male ; Metabolic Syndrome/epidemiology* ; Obesity/epidemiology* ; Prevalence ; Risk Factors

Objective: To investigate the influence of dietary cholesterol intake on gestational diabetes mellitus (GDM), at one year prior to and first and second trimesters of pregnancy. Methods: Between March 2012 and September 2016, the pregnant women from the First Affiliated Hospital of Shanxi Medical University were asked to fill in a set of questionnaires, by which information on general demographic characteristics, diagnosis of GDM and dietary cholesterol intake was collected. Unconditional logistic regression method was used to analyze the influence of dietary cholesterol intake on GDM, at one year prior to and first and second trimesters of pregnancy. The association on dietary cholesterol intake and GDM between age groups was also analyzed. Results: Data on 9 005 subjects, including 1 388 pregnant women with GDM, was collected. When the amount of cholesterol intake was stratified into quartile, results from the unconditional logistic regression showed that dietary cholesterol intake appeared ≥76.50 mg/d, both in the periods of one year prior to and the second trimester of pregnancy. This amount of dietary cholesterol intake would increase the risk of GDM (one year prior to pregnant: OR=1.230, 95%CI: 1.018-1.485; second trimester: OR=1.228, 95%CI:1.014- 1.486). Women who took ≥76.50 mg/d of daily cholesterol during the period of one year prior to, or 46.75-76.50 mg/d during the second trimester of pregnancy, the risks of GDM (OR=4.644, 95%CI: 1.106-19.499) would increase. Women with daily cholesterol intake over 76.50 mg/d during the period of one year prior to or at the second trimester of pregnancy, there appeared a risk on GDM (OR=1.217, 95%CI: 1.012-1.463). When maternal age was divided in two different subgroups and the cholesterol intake level was ≥76.50 mg/d both in the period of one year prior to pregnancy or at the second trimester, the risk of GDM appeared in the subgroup of<35 years old (OR=1.336, 95%CI:1.083-1.647; OR=1.341, 95%CI: 1.087-1.654). However, no significant association was found in the maternal age group of ≥35 years old. Conclusion: High level of dietary cholesterol intake would increase the risk of GDM, both in the period of one year prior to and at the second trimester of pregnancy.
Adolescent ; Adult ; Asian People/statistics & numerical data* ; Cholesterol, Dietary ; Diabetes, Gestational/epidemiology* ; Female ; Humans ; Logistic Models ; Pregnancy ; Pregnancy Trimester, First ; Pregnancy Trimester, Second ; Risk Factors

Objective: To analyze the effect of air quality index (AQI) on the incidence of tuberculosis (TB) in Beijing, and to provide evidence for setting up a better program regarding prevention and control of tuberculosis. Methods: Generalized additive model (GAM) was used to analyze the association between AQI and the incidence of tuberculosis in Beijing, from January 1, 2014 to November 9, 2016. Confounding factors as meteorological conditions and time trends were under control. Results: In Beijing, a total of 14 533 TB cases with definite dates of onset were collected during the study period, with 36 children excluded from the study. Finally, 14 497 cases were included in the study, including 9 513 men and 4 984 women, with 11 290 adults (15-59 years old) and 3 207 elderly (≥60 years old). Data from the optimal single-day lag effect of GAM showed that,with every 10 increase of AQI, the percent of increase on the onsets of overall, male, female and adult; tuberculosis cases were 0.85% (95%CI: 0.26%-1.44%), 0.83% (95%CI: 0.24%-1.42%), 0.93% (95%CI: 0.24%-1.62%) and 0.88% (95%CI: 0.29%-1.46%), respectively. The optimal lag time of the single-day effects were 15 days (lag15), but 16 days (lag16) for male. The optimal cumulative lag effect showed that with every 10 AQI increase, the percent of increase on the onsets of overall, male, female and adult tuberculosis cases were 1.92% (95%CI: 0.23%-3.16%), 1.94% (95%CI:0.15%-3.72%), 2.04% (95%CI: 0.10%-3.97%) and 2.00% (95%CI: 0.30%-3.69%), respectively, with the optimal lag time of cumulative delayed effects as 17 days (lag0_17), 18 days (lag0_18), 16 days (lag0_16) and 17 days (lag0_17), respectively. However, there were no statistical significances noticed in the elderly cases. Conclusion: There was a positive correlation between AQI and the number of TB cases in Beijing, and the effects of AQI on the number of TB cases in different genders and age groups were different.
Adolescent ; Adult ; Aged ; Air Pollutants/adverse effects* ; Air Pollution ; Beijing ; Child ; Female ; Humans ; Incidence ; Male ; Middle Aged ; Particulate Matter/adverse effects* ; Tuberculosis/epidemiology* ; Young Adult