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: 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

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 evaluate the prevalence and trend of diabetes mellitus among Chinese adults during the past thirty years. Methods: Papers, published before October 1, 2017 and related to the prevalence of diabetes mellitus among Chinese adults, were searched through PubMed, China Knowledge Resource Integrated Database, Wanfang Digital Database and VIP Citation Databases. Stata 13.0 software was used to estimate the prevalence of diabetes mellitus, with pooled prevalence calculated based on random effects. Subgroup analysis was conducted based on time, sex, areas and body mass index groups of investigation. Continuous fractional polynomial regression model on the midpoint of each survey period, weighted by the number of participants in each study, was used to estimate and illustrate the trends of prevalence of diabetes over the years. Results: In total, 15 studies were included and two of them were excluded in the primary analysis with the age limitation of participants as ≥40 years old, for recruitment. The average prevalence of diabetes among Chinese adults was 6.3% (95%CI: 4.6%-8.0%), during the past thirty years. The pooled prevalence appeared higher in urban than in rural areas and higher in men than in women. Between 1980 and 2013, the increase of Chinese diabetes prevalence did not follow the linear trend. Before 2000, the average prevalence showed as 3.5% (95%CI: 2.0%-4.9%), with an annual increase rate as 0.17%. Since 2000, the average annual prevalence of diabetes mellitus had appeared around 8.0% (95%CI: 6.0%-10.1%), with an annual growth rate of 0.72% (95%CI: 0.34%-1.10%). Conclusion: The prevalence of diabetes in Chinese adults had been rapidly increasing since the year 2000, indicating that efforts should be strengthened for diabetes prevention, in China.
Adult ; Asian People/statistics & numerical data* ; Body Mass Index ; China/epidemiology* ; Diabetes Mellitus/ethnology* ; Female ; Humans ; Male ; Models, Statistical ; Prevalence ; Rural Population ; Sex Distribution ; Surveys and Questionnaires ; Urban Population