The median level of urinary iodine at the cut-off point of the piecewise function was 198 μg/L. Based on the weighted calculation of the total sample size included in the literature, the prevalence of thyroid nodules (95%CI) in Chinese residents was 23.0% (17.3%-30.7%). Conclusion The asymmetric U-shaped response relationship between urinary iodine level and thyroid nodule prevalence based on piecewise function has good feasibility and fitting effect.Objective To develop a lung cancer risk prediction model for female non-smokers. Methods Based on the Kailuan prospective dynamic cohort (2006.05-2015.12), a nested case-control study was conducted. https://www.selleckchem.com/products/seclidemstat.html Participants diagnosed with primary pathologically confirmed lung cancer during follow-up were identified as the case group, and others were identified as the control group. A total of 24 701 subjects were included in the study, including 86 lung cancer cases and 24 615 control population, respectively. Questionnaires, physical examinations, and laboratory tests were conducted to collect relevant information. Multivariable-adjusted logistic regressions were conducted to develop a lung cancer risk prediction model. Area Under the Curve (AUC) and Hosmer-Lemeshow tests were used to evaluate discrimination and calibration, respectively. Ten-fold cross-validation was used for internal validation. Results Two sets of models were developed the simple model (including age and monthly income) and the metabolic index model [including age, monthly income, fasting blood glucose (FBG), total cholesterol (TC) and high-density lipoprotein cholesterol (HDL-C)].The AUC (95%CI) [0.745 (0.719-0.771)] of the metabolic index model was higher than that of the simple prediction model [0.688 (0.660-0.716)] (P=0.004). Both the simple model (PHL=0.287) and the metabolic index model (PHL=0.134) were well-calibrated. The results of ten-fold cross-validation indicated sufficient stability, with an average AUC of 0.699 and a standard error (SD) of 0.010. Conclusion By incorporating metabolic markers, accurate and reliable lung cancer risk prediction model for female non smokers could be developed.Objective To explore the relationship between multiple health-risk behaviors and emotional and behavioral problems in preschool children. Method From October to November 2017, 27 987 children aged 3 to 6 years from 109 kindergartens of 11 cities from Hubei, Anhui and Jiangsu Provinces in the middle and lower reaches of the Yangtze River were selected by using the cluster sampling method. Finally, 27 200 valid questionnaires were collected. A questionnaire was used to investigate the demographic characteristics, video time and outdoor activities, eating behavior, sleep time, emotional and behavioral problems of parents and children. Multivariate logistic regression model was used to quantify the association between multiple health-risk behaviors and emotional and behavioral problems. Results Emotional symptoms, conduct problems, hyperactivity, peer problems, total difficulties and prosocial behavior abnormalities were detected in 9.5% (2 587), 9.5% (2 590), 18.2% (4 958), 24.5% (6 670), 11.2% (3 058) and 10.2% (2 770), respectively. Three groups of low, medium and high scores of multiple health-risk behaviors were accounted for 30.6% (8 316), 60.9% (16 568) and 8.5% (2 316), respectively. Multivariate logistic regression model analysis showed that after controlling for the confounding factors, compared with those in the low score group, preschool children in the middle and high score groups had higher risks of emotional symptoms, conduct problems, hyperactivity, peer problems, total difficulties and prosocial behavior (all P values less then 0.05). Conclusion Health-risk behaviors are associated with the emotional and behavioral problems of preschool children.Objective To analyze the trend of the congenital heart disease mortality rate in children aged under 1 year old from 2004 to 2018. Methods The mortality rate and constituent ratio of congenital heart disease in different genders, urban and rural areas and regions were calculated by using the publicly available Dataset of National Mortality Surveillance in China from 2004 to 2018. The Joinpoint regression model was used to analyze the changing trend of mortality rate and constituent ratio, and calculate the annual percentage change (APC) in each time period, the average annual percentage change (AAPC) in all time period and their 95% values. Results From 2004 to 2018, a total of 15 969 children aged 0 to 1 years died of congenital heart disease, of which 58.12% (9 281) were boys and 71.79% (11 464) were in rural areas. The deaths of congenital heart disease in eastern, central and western regions accounted for 34.30%, 37.06% and 28.64% of total deaths, respectively. From 2004 to 2018, the mortality rate of congenital heart disease in children decreased from 106.81 per 100 000 to 38.70 per 100 000, with an AAPC (95%) about -7.2% (-11.5%, -2.6%). The mortality rate of congenital heart disease showed a downward trend in girls [AAPC (95%) =-7.7% (-13.0%, -2.0%)], boys [AAPC (95%)=-6.8% (-12.0%, -1.2%)], urban areas [AAPC (95%) =-5.9% (-9.9%, -1.7%)], rural areas [AAPC (95%) =-7.4% (-10.5%, -4.2%)], eastern region [AAPC (95%)=-8.6% (-14.2%, -2.6%)], and central region [AAPC (95%)=-7.8% (-11.5%, -4.0%)]. The gaps of mortality rate gradually shrank in different genders, urban and rural areas and regions. From 2004 to 2018, the constituent ratio of congenital heart disease in children showed an upward trend [AAPC (95%) = 3.3% (1.7%, 4.9%)]. Conclusion From 2004 to 2018, the mortality rate of congenital heart disease in children aged 0 to 1 years showed a downward trend, and the constituent ratio showed an upward trend.Objective To develop evidence-based appropriate type of entity for the Centers for Disease Control and Prevention in order to improve the performance of disease control and prevention system in China. Methods This study firstly proposed the core functions and essential public health programs for the Centers for Disease Control and Prevention. Using Structured Decision-Making, this study presented three alternative options for type of entity to make essential public health programs succeed, and reviewed the pros and cons of alternative options based on 15 evaluation indicators. Questionnaires were distributed to 47 stakeholders between April 10 and April 20 of 2020. Finally, an appropriate type of entity for the Centers for Disease Control and Prevention was identified by using both qualitative and quantitative methods. Results A total of 47 stakeholders ranked alternative options. Aggregated scores of each alternative option was computed after weighting each indicators. The results shows that Option 1(professional technical civil service organization)has the highest score (58.