Objective: To analyze the epidemiological characteristics of waist circumference and abdominal obesity among Chinese children and adolescents aged 6-17 years. Methods: Data was from the samples of aged 6-17 years in the China National Nutrition and Health Surveillance program in 2010-2012. P(90) (the same age, the same sex) was used as the diagnostic value for abdominal obesity. Results: The overall waist circumference of children and adolescents in all the age groups appeared higher in males than that in females (P<0.000 1), higher in cities than that in the rural areas (P<0.05), and higher in children with high family income than those with middle or low family incomes (P=0.000 3). The rate of abdominal obesity in children and adolescents aged 6-17 years appeared as 11.2% on average and 10.7% and 11.8% for boys and girls, respectively but with no significant difference (P>0.05). Rates on abdominal obesity appeared as 13.2% and 8.5% for boys while as 12.3% and 11.2% for girls respectively, in urban or rural areas. As for the levels of family income, the abdominal obesity rates appeared as 15.8%, 11.5% and 8.8% respectively for boys while 13.5%, 11.9% and 11.6% respectively for girls, under high, middle and low levels of family income. Conclusion: The rate of abdominal obesity in boys seemed more responsive to the impact of income in urban or rural areas.
Adolescent ; Asian People/statistics & numerical data* ; Child ; China/epidemiology* ; Cities ; Female ; Humans ; Male ; Obesity, Abdominal/ethnology* ; Prevalence ; Waist Circumference

Objective: To describe the situation of insufficient sleep and the association between insufficient sleep and physical exercise, among Chinese Han students aged 9-18 years. Methods: We selected 172 197 Chinese Han students aged 9-18 years from the project 2014 Chinese National Survey on Students Constitution and Health. The average sleep duration per day of less than 9 h for children aged 9-12 years and of less than 8 h for adolescents aged 13-18 years, were defined as insufficient sleep. We described the distribution of sleep duration and the prevalence rates of insufficient sleep for each subgroup. Logistic regression models were established to assess the association between insufficient sleep and physical exercise. Results: In 2014, 6.6%, 30.8%, 26.3%, 20.8%, 13.8% and 1.8% of the Chinese Han students self-reported sleep duration were <6, 6-, 7-, 8- and ≥10 h, respectively. The overall prevalence rate of insufficient sleep was 77.2%, with 75.8% for boys and 78.6% for girls. No gender disparity was found at each 9-11 age groups. However, in the 12-18 age groups, the prevalence rates for girls were significantly higher than that for boys. The prevalence rates of insufficient sleep for primary school, middle school and high school students were66.6%, 74.1% and 93.8%, respectively. Rates were increasing with age for children aged 9-12 years and adolescents aged 13-18 years respectively. The three provinces with the lowest prevalence rates of insufficient sleep were Zhejiang (68.8%), Jiangsu (66.7%) and Shaanxi (65.2%). Data from the logistic regression models revealed that, when comparing to those students with only exercise of <0.5 h per day, the exercise hours of 0.5-1 h (OR=0.72, 95%CI: 0.69-0.74) or ≥1 h (OR=0.46, 95%CI: 0.44-0.47) per day seemed as protective factors for insufficient sleep. When compared with physical exercise frequency <2 times per week, the 2 times (OR=0.82, 95%CI: 0.78-0.86) or >2 times (OR=0.65, 95%CI: 0.62-0.68) frequencies also appeared as protective. Conclusions: The prevalence rate of insufficient sleep prevailing among students aged 9-18 years was high, in China. Our data called for setting up effective measures to deal with this situation.
Adolescent ; Asian People/statistics & numerical data* ; Child ; China ; Exercise ; Female ; Humans ; Male ; Schools ; Sleep ; Sleep Deprivation ; Students ; Surveys and Questionnaires

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

This study aimed to explore key quality control factors that affected the prognosis of intensive care unit (ICU) patients in Chinese mainland over six years (2015-2020). The data for this study were from 31 provincial and municipal hospitals (3425 hospital ICUs) and included 2 110 685 ICU patients, for a total of 27 607 376 ICU hospitalization days. We found that 15 initially established quality control indicators were good predictors of patient prognosis, including percentage of ICU patients out of all inpatients (%), percentage of ICU bed occupancy of total inpatient bed occupancy (%), percentage of all ICU inpatients with an APACHE II score ⩾15 (%), three-hour (surviving sepsis campaign) SSC bundle compliance (%), six-hour SSC bundle compliance (%), rate of microbe detection before antibiotics (%), percentage of drug deep venous thrombosis (DVT) prophylaxis (%), percentage of unplanned endotracheal extubations (%), percentage of patients reintubated within 48 hours (%), unplanned transfers to the ICU (%), 48-h ICU readmission rate (%), ventilator associated pneumonia (VAP) (per 1000 ventilator days), catheter related blood stream infection (CRBSI) (per 1000 catheter days), catheter-associated urinary tract infections (CAUTI) (per 1000 catheter days), in-hospital mortality (%). When exploratory factor analysis was applied, the 15 indicators were divided into 6 core elements that varied in weight regarding quality evaluation: nosocomial infection management (21.35%), compliance with the Surviving Sepsis Campaign guidelines (17.97%), ICU resources (17.46%), airway management (15.53%), prevention of deep-vein thrombosis (14.07%), and severity of patient condition (13.61%). Based on the different weights of the core elements associated with the 15 indicators, we developed an integrated quality scoring system defined as F score=21.35%xnosocomial infection management + 17.97%xcompliance with SSC guidelines + 17.46%×ICU resources + 15.53%×airway management + 14.07%×DVT prevention + 13.61%×severity of patient condition. This evidence-based quality scoring system will help in assessing the key elements of quality management and establish a foundation for further optimization of the quality control indicator system.
Humans ; China/epidemiology* ; Cross Infection/epidemiology* ; Intensive Care Units/statistics & numerical data* ; Quality Control ; Quality Indicators, Health Care/statistics & numerical data* ; Sepsis/therapy* ; East Asian People/statistics & numerical data*

Risk prediction models including the Prostate Health Index (phi) for prostate cancer have been well established and evaluated in the Western population. The aim of this study is to build phi-based risk calculators in a prostate biopsy population and evaluate their performance in predicting prostate cancer (PCa) and high-grade PCa (Gleason score ≥7) in the Chinese population. We developed risk calculators based on 635 men who underwent initial prostate biopsy. Then, we validated the performance of prostate-specific antigen (PSA), phi, and the risk calculators in an additional observational cohort of 1045 men. We observed that the phi-based risk calculators (risk calculators 2 and 4) outperformed the PSA-based risk calculator for predicting PCa and high-grade PCa in the training cohort. In the validation study, the area under the receiver operating characteristic curve (AUC) for risk calculators 2 and 4 reached 0.91 and 0.92, respectively, for predicting PCa and high-grade PCa, respectively; the AUC values were better than those for risk calculator 1 (PSA-based model with an AUC of 0.81 and 0.82, respectively) (all P < 0.001). Such superiority was also observed in the stratified population with PSA ranging from 2.0 ng ml^-1to 10.0 ng ml^-1. Decision curves confirmed that a considerable proportion of unnecessary biopsies could be avoided while applying phi-based risk calculators. In this study, we showed that, compared to risk calculators without phi, phi-based risk calculators exhibited superior discrimination and calibration for PCa in the Chinese biopsy population. Applying these risk calculators also considerably reduced the number of unnecessary biopsies for PCa.
Aged ; Asian People/statistics & numerical data* ; Biopsy ; China ; Humans ; Male ; Neoplasm Grading ; Prostate/pathology* ; Prostate-Specific Antigen/blood* ; Prostatic Neoplasms/pathology* ; Risk Assessment/methods*

Objective: To evaluate the association of family history with risk of major coronary events (MCE) and ischemic heart disease (IHD). Methods: After excluding participants with heart disease, stroke or cancer at baseline survey, a total of 485 784 participants from the China Kadoorie Biobank, who had no missing data on critical variables, were included in the analysis. Cox regression analysis was used to estimate the hazard ratios (HR) and 95% CI. Subgroup analyses were performed according to the baseline characteristics. Results: During a median of 7.2 years of follow-up, we documented 3 934 incident cases of MCE and 24 537 cases of IHD. In multivariable-adjusted models, family history was significantly associated with risk of MCE and IHD. The adjusted HRs (95%CI) were 1.41 (1.19-1.65) and 1.25 (1.18-1.33), respectively. History of disease among siblings was more strongly associated with early-onset MCE than parental history (HR=2.97, 95%CI: 1.80-4.88). Moreover, the association of family history with MCE and IHD was stronger in persons who were overweight or obesive, and the association between family history and MEC was stronger in smokers. Conclusion: This large-scale, prospective study indicated that family history was an independent risk factor for MCE and IHD in China. The intervention targeting major known lifestyle risk factors and the management of chronic diseases should be strengthened for Chinese population, especially for the individuals with family history were at high risk.
Asian People/statistics & numerical data* ; China/epidemiology* ; Coronary Disease/genetics* ; Humans ; Incidence ; Myocardial Ischemia/genetics* ; Overweight/ethnology* ; Proportional Hazards Models ; Prospective Studies ; Risk Assessment ; Risk Factors ; Smoking/ethnology*

Objective: To investigate the current status of prevalence, treatment, and management on hypertension among Chinese adults from the National Demonstration Areas for Comprehensive Prevention and Control of Non-communicable Diseases. Methods: We selected a total of 4 000 residents aged ≥18 years for this questionnaire-based survey by multi-stage clustering sampling in 10 National Demonstration Areas between November and December, 2016. Results: There were 3 891 effective questionnaires. The self-reported prevalence of hypertension among aged ≥35 years was 31.47% (1 011/3 213). For the past two weeks, the self-reported treatment of hypertension was 86.75%(877/1 011), with the rates of guidance as 56.87% (575/1 011) on physical activity, 40.95% (414/1 011) on diet, 38.33% (385/1 011) on weight management, and 22.75% (228/1 011) on smoking cessation. For the past 12 months, 74.68% (755/1 011) of the residents aged ≥35 years were under the proper management and 62.12% (628/1 011) of them were under the standardized management programs. The follow-up program lasted for 4 (P(25)-P(75): 4-12) times per year, with 15 (P(25)-P(75): 10-20) minutes per each visit. Hypertensive patients would mainly visit the outpatient clinics (53.51%), followed by home visits (22.91%) and telephone calls (13.64%). Rate of satisfaction on management services was 94.83% (716/755) from the hypertensive patients. Multivariate analysis showed that the rate of self-reported treatment (OR=1.986, 95%CI: 1.222-3.228) and self-reported standardized management (OR=2.204, 95%CI: 1.519-3.199) on hypertension were higher in the Demonstration Areas with higher implementation scores of self-reported non-communicable diseases management. Conclusions: Prevention and management on hypertension in the Demonstration Areas had met the requirement set for the Demonstration Areas during the "12th Five-Year Plan" . Projects on setting up the National Non-communicable Diseases Demonstration Areas had played an active role in promoting the standardized management program on hypertension.
Adult ; Asian People/statistics & numerical data* ; Diet ; Exercise ; Humans ; Hypertension/therapy* ; Noncommunicable Diseases/prevention & control* ; Population Surveillance ; Prevalence ; Risk Factors ; Surveys and Questionnaires

Objective: Smoking is the most important risk factor for COPD. Understanding the smoking rate, current smoking rate, average age to start smoking and average daily consumption of cigarettes among people aged ≥40 years in China can provide scientific evidence for the effective control and prevention of COPD. Methods: Data were from COPD surveillance in China (2014 to 2015) which covered 31 provinces, autonomous regions and municipalities. A total of 75 107 adults aged ≥40 years selected through multi-stage stratified cluster sampling from 125 surveillance sites (county/district) were surveyed by electronic questionnaire during face to face interviews. The smoking rate and other smoking index were estimated by using weighting complex sampling design. Results: The smoking rate and current smoking rate were 40.0% (95%CI: 38.5%-42.0%) and 31.0% (95%CI: 29.7%-32.0%), respectively, among the Chinese aged ≥40 years in 2014. The smoking rate and current smoking rate in males (74.1% and 57.6%) were much higher than those in females (5.4% and 4.0%). And the two rates were significantly higher in rural area (41.2% and 32.4%) than in urban area (38.8% and 29.5%). The mean age of smokers to start smoking was 20.1 (95%CI: 19.7-20.5) years. The younger the smokers were, the earlier their average age to start smoking was (The ages to start smoking for smokers aged 40-, 50-, 60-, ≥70 years were 18.3, 19.2, 20.9 and 23.1 years, respectively). Average daily cigarette consumption of current daily smokers was 18.9 (95%CI: 18.1-19.7) cigarettes, and the daily cigarette consumption was higher in males (19.3 cigarettes) than in females (12.5 cigarettes). Conclusion: The smoking rate in males aged ≥40 years is high in China. Compared with urban area, the smoking rate in rural area is higher, posing a big challenge for COPD control and prevention.
Adult ; Aged ; Asian People/statistics & numerical data* ; China/epidemiology* ; Female ; Humans ; Male ; Prevalence ; Risk Factors ; Smoking/psychology* ; Smoking Cessation ; Surveys and Questionnaires ; Young Adult

Objective: To understand the distribution and characteristics of people aged ≥40 years who are at high risk of COPD in China and provide evidence for COPD prevention and control. Methods: The survey was conducted among the subjects selected through multi-stage stratified cluster sampling from 31 provinces (autonomous regions and municipalities) in China for 2014-2015 national chronic obstructive pulmonary disease surveillance. A total of 75 107 people aged ≥40 years in 125 surveillance points were surveyed in face to face interviews. Subjects who met at least one of the following conditions, including chronic respiratory symptoms, exposure to risk factors, medical history of respiratory diseases, and family history, were defined as population at high risk. The weighted proportion of the population at high risk of COPD and 95%CI were estimated by using complex sampling design. Results: Among eligible 74 296 subjects, the proportion of population at high risk of COPD was 89.5% (95%CI: 87.8%-91.2%). The proportion significantly increased with age (P<0.001). The proportion of the population at high risk was significantly higher in men than in women (P<0.001), and in rural area than in urban area (P<0.001). The highest proportion of population at high risk was observed in men in rural area in western China. The proportion of population at high risk of COPD who met at least two conditions was 32.0% (95%CI:29.7%-34.2%), the proportion of those who met at least three conditions was 7.4% (95%CI: 6.6%- 8.3%), and the proportion of those who met all the conditions was 1.5% (95%CI: 1.2%-1.8%). Among population at high risk of COPD, those who only had exposure to one risk factor accounted for 61.7% (95%CI: 59.8%-63.7%). Conclusion: About 90% of people aged ≥40 years in China are at high risk for COPD. It is necessary to conduct population-based screening for COPD and take comprehensive measures to reduce prevalence of risk factors.
Adult ; Asian People/statistics & numerical data* ; China/epidemiology* ; Female ; Humans ; Male ; Prevalence ; Pulmonary Disease, Chronic Obstructive/ethnology* ; Risk Factors ; Rural Population ; Surveys and Questionnaires ; Urban Population

Objective: To analyze the prevalence rates of overweight and obesity in Chinese children and adolescents aged 6-17 years, and to provide scientific basis for the development of prevention strategies on obesity. Methods: Data was from children and adolescents aged 6-17 years in the China National Nutrition and Health Surveillance 2010-2012 program. In children aged 6 years, criteria of overweight and obesity were followed the WHO growth reference for school-aged children and adolescents. In children and adolescents aged 7-17 years, overweight and obesity were defined by sex and age specific BMI, recommended by Guidelines for prevention and control of overweight and obesity among school-age children and adolescents according to the Chinese guidelines. Results: The overall rates on overweight and obesity were 9.6% and 6.4% among the Chinese children and adolescents aged 6-17 years, with 11.0% (12.8% for boys and 9.0% for girls) in urban and 7.7% (boys 9.7%, girls 5.5%) in rural areas. The rates of overweight and obesity among children and adolescents were 8.4% (boys 9.3%, girls 7.4%) and 5.2% (boys 6.2%, girls 4.1%) in the rural areas. According to the levels of household income, the overweight rates of children in high, middle and low incomes were 12.3%, 10.7% and 8.2%, with obesity as 8.6%, 7.2% and 5.7% respectively. Conclusions: In 2012, the prevalence rates of overweight and obese were 9.6% and 6.4% among children and adolescents aged 6-17 years, respectively, higher in urban than in rural areas and higher boys than in girls. The prevalence rates of overweight and obesity seemed to be related to the levels of household income.
Adolescent ; Asian People/statistics & numerical data* ; Body Mass Index ; Child ; China/epidemiology* ; Female ; Health Promotion ; Humans ; Male ; Nutritional Status ; Obesity/ethnology* ; Overweight/ethnology* ; Prevalence