Humans ; Thyroid Cancer, Papillary ; Neck/pathology* ; Lymph Nodes/pathology* ; Thyroid Neoplasms/pathology* ; Lymphoma, T-Cell/pathology*

Adult ; Air Pollutants, Occupational ; Humans ; Lung ; Male ; Occupational Diseases ; Occupational Exposure ; Vital Capacity ; Welding

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 ; Cohort Studies ; Delivery of Health Care ; Humans ; Population Surveillance ; Quality Control ; Reference Standards

Objective: 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. Methods: 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. Results: 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). Conclusions: 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

Objective: To evaluate the association of educational level with anthropometric measurements at different adult stages and their long-term changes in adults who participated in the second re-survey of China Kadoorie Biobank (CKB). Methods: The present study excluded participants who were aged >65 years, with incomplete or extreme measurement values, or with major chronic diseases at baseline survey or re-survey. The weight at age 25 years was self-reported. Body height, body weight and waist circumference at baseline survey (2004-2008) and re-survey (2013-2014) were analyzed. Results: The present study included 3 427 men and 6 320 women. Both body weight and waist circumference (WC) increased with age. From age 25 years to baseline survey (mean age 45.2±6.5), the mean weight change per 5-year was (1.70±2.63) kg for men and (1.27±2.10) kg for women. From baseline survey to re-survey (53.2±6.5), the mean changes per 5-year for body weight were (1.12±2.61) kg for men and (0.90±2.54) kg for women; and that for WC was (3.20±3.79) cm for men and (3.83±3.85) cm for women. Among women, low educational level was consistently associated with higher body mass index (BMI) and WC at age 25 years, baseline survey and re-survey. Among men, low educational level was associated with higher BMI at age 25 years. At baseline survey and re-survey, the educational level in men was not statistically associated with BMI; but men who completed junior or senior high school showed slight higher WC and increase of WC from baseline survey to re-survey than other male participants. Conclusions: Body weight and WC increased with age for both men and women. The associations of educational level with BMI and WC were different between men and women.
Adult ; Asian People/statistics & numerical data* ; Body Height ; Body Mass Index ; Body Weight ; China/epidemiology* ; Educational Status ; Female ; Humans ; Male ; Middle Aged ; Obesity/ethnology* ; Risk Factors ; Sex Distribution ; Waist Circumference/ethnology*

Objective: To examine the prevalence of 'healthy lifestyle' from data extracted from the China Kadoorie Biobank (CKB) of 0.5 million adults from ten areas across China. Methods: After excluding participants with self-reported histories of coronary heart disease, stroke or cancer, a total of 487 198 participants at baseline (2004-2008) and 22 604 participants at second survey (2013- 2014), were included for analysis. 'Healthy lifestyle' was defined as haing the following characteristics: a) never smoking or having stopped smoking for reasons other than illness; b) alcohol drinking <25 g/day (men)/<15 g/day (women); c) diet rich in vegetables, fruits, legumes and fish, but low in red meat; d) upper quarter of the physical activity level; e) body mass index of 18.5-23.9 kg/m(2) and waist circumstance <85 cm (men)/80 cm (women). We calculated the healthy lifestyle scores (HLS) by counting the number of all the healthy lifestyle factors, with a range from 0 to 6. Results: At baseline, prevalence rates of the above five healthy lifestyles (except physical activity) were 70.6%, 92.6%, 8.7%, 52.6% and 59.0%, respectively, with the mean HLS being 3.1±1.2. Most participants (81.4%) had2-4 healthy components, while only 0.7% (0.2% in men and 1.0% in women) of all the participants had all six healthy lifestyles. Participants who were women, at younger age, with more schooling and rural residents, were more likely to adhere to the healthy lifestyle. After ten years, the mean HLS showed a slight decrease. Conclusion: The prevalence of optimal lifestyles in Chinese adults appeared extremely low. Levels of 'healthy lifestyle' varied greatly among those populations with different socio-demographic characteristics across the ten areas in China.
Adult ; Asian People/statistics & numerical data* ; China ; Female ; Healthy Lifestyle ; Humans ; Life Style ; Male ; Prevalence ; Risk Factors

Objective: To understand the epidemiologic characteristics of outbreaks, caused by norovirus-GⅡ.2、GⅡ.17 and GⅡ.4/Sydney in Guangdong Province from 2013 to 2017 and to provide scientific evidence for epidemic prevention and control. Methods: Incidence data of norovirus outbreaks in Guangdong from January 1(st) 2013 to November 30(th) 2017 were collected from Public Health Emergency Management Information System. RT-PCR was performed for every case of each outbreak to detect norovirus nucleic acid and gene sequencing was conducted to identify the genotype of norovirus. Characteristics of norovirus GⅡ.2, GⅡ.17 and GⅡ.4/Sydney outbreaks were analyzed. Directly standardized method was used to calculate the proportion of symtoms as diarrhea and vomitting. Results: From January 1(st) 2013 to November 30(th) 2017, a total of 167 norovirus outbreaks were reported in Guangdong, and 115 outbreaks were caused by norovirus GⅡ.2, GⅡ.17 and GⅡ.4/Sydney respectively. The outbreaks caused by norovirus GⅡ.2 accounted for 39.68% (25/63) in primary schools, 28.57% (18/63) in child care settings, 25.40% (16/63) in middle schools and 6.35% (4/63) in universities. Outbreaks caused by norovirus GⅡ.17 accounted for 41.03% (16/39) in middle schools, 20.51% (8/39) at workplaces, 15.38% (6/39) in primary schools, 12.82% (5/39) in universities, 5.13% (2/39) in communities and child care settings respectively. The outbreaks caused by norovirus GⅡ.4/Sydney accounted for 53.85% (7/13) in universities, 15.38% (2/13) in child care settings and at workplaces respectively, 7.69%(1/13) in primary schools and middle schools respectively. The outbreaks caused by norovirus GⅡ.2 had 77.78% (49/63) of contact transmission, 17.46% (11/63) of food-borne transmission. The outbreaks caused by norovirus GⅡ.17 showed 53.85% (21/39) of food-borne transmission, 15.38% (6/39) of contract transmission, 12.82% (5/39) of water-borne transmission. The outbreaks caused by norovirus GⅡ.4/Sydney had 53.85% (7/13) of food-borne transmission, 38.46% (5/13) of the contact transmission. In terms of the clinical manifestations, the standardized proportion of vomit was 73.76% and the proportion of diarrhea was 42.85% in cases infected with norovirus GⅡ.2, the proportion of standardized of vomit was 76.37% and the proportion of diarrhea was 51.40% in cases infected with norovirus GⅡ.17, with the standardized proportion of vomit was 54.10% and the proportion of diarrhea was 55.95% in cases infected with norovirus GⅡ.4/Sydney. Conclusions: The outbreaks caused by norovirus GⅡ.2 through contact transmission mainly occurred in primary schools, child care settings and middle schools. The outbreaks caused by norovirus GⅡ.17 through food-borne transmission mainly occurred in middle schools and at workplaces. The outbreaks caused by norovirus GⅡ.4/Sydney food-borne transmission and contact mainly occurred in universities.
Adolescent ; Caliciviridae Infections/epidemiology* ; Child ; Child, Preschool ; Diarrhea/etiology* ; Disease Outbreaks ; Epidemics ; Gastroenteritis/epidemiology* ; Genotype ; Humans ; Norovirus/isolation & purification* ; Reverse Transcriptase Polymerase Chain Reaction ; Sentinel Surveillance ; Vomiting/etiology*

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 ; China/epidemiology* ; Chronic Disease/epidemiology* ; Coronary Disease/epidemiology* ; Diabetes Mellitus/epidemiology* ; Female ; Humans ; Hypertension/epidemiology* ; Obesity/epidemiology* ; Pregnancy ; Prenatal Exposure Delayed Effects/epidemiology* ; Retrospective Studies ; Socioeconomic Factors ; Starvation/epidemiology*

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

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 ; Adult ; Aged ; Child ; Child, Preschool ; China/epidemiology* ; Female ; Humans ; Incidence ; Infant ; Infant, Newborn ; Kidney Neoplasms/mortality* ; Male ; Middle Aged ; Registries ; Rural Population ; Urban Population ; Young Adult