Objective:To investigate the association between obesity and the risk for all-cause mortality in type 2 diabetes (T2DM) patients.Methods:The participants were from a rural community-based T2DM patient cohort in Zhejiang Province. The study used the data collected from baseline survey in 2016 and follow-up until December 31, 2021. A total of 10 310 participants were included, excluding those who were lost in follow-up or had incomplete data in follow-up. According to BMI and waist circumference, the study subjects were divided into 6 groups: low body weight, normal body weight, simple abdominal obesity, simple body obesity, complex overweight and complex obesity. Cox proportional hazards regression model was used to analyze hazard ratios ( HRs) of all-cause mortality and their 95% CIs in T2DM patients with different obesity status. Results:The cumulative follow-up period was 57 049.47 person-years with an average follow-up of (5.53±0.89) person-years. During this period, 971 subjects died. The death density was 1 702.03/100 000 person-years. After adjusting for confounders, low-weight patients had a 104% increased risk for all-cause death compared with normal-weight patients ( HR=2.04, 95% CI:1.42-2.92). The risk for all-cause death decreased by 34% ( HR=0.66, 95% CI: 0.53-0.82), 22% ( HR=0.78,95% CI: 0.66-0.92), 38% ( HR=0.62, 95% CI: 0.49-0.78) in the patients with simple body obesity, complex overweight and complex obesity, respectively, there was no significant difference for all-cause death in the patients with simple abdominal obesity alone. In subgroup analysis, the risk of all-cause mortality increased in low-weight T2DM patients of different sexes and ages, the mortality risk in women with complex obesity was 50% lower than that in the women with normal body weight, but there was no significant difference in men in the comparison between complex obesity group and normal body weight group. The risk for all-cause mortality was significantly lower in ≥65 years old patients with simple body obesity, complex overweight and complex obesity than in patients with normal body weight ( HR=0.61, 95% CI: 0.48-0.78; HR=0.76, 95% CI: 0.63-0.91; HR=0.56,95% CI: 0.42-0.73), there was no significant difference in the patients aged <65 years. There was no significant change in sensitivity analysis. Conclusions:There was an "obesity paradox" in the risk for all-cause mortality in T2DM patients. The risk of all-cause mortality in the low-weight patients was significantly higher than that in normal-weight patients, and the risk for death in the patients with simple body obesity or complex overweight and obesity were significantly lower.

Objective:To investigate the changes of blood glucose and blood lipid in gestational diabetes mellitus (GDM) patients with different insulin sensitivity during pregnancy and the effect of non-drug intervention.Methods:Data of 240 pregnant women with GDM and 240 healthy pregnant women were collected from July 1 to September 1, 2023 in Shijing People′s Hospital in Baiyun District and other five hospital. The insulin sensitivity index (ISI) was calculated by homeostasis model assessment 2(HOMA2) model, according to the 25th percentile of ISI of normal pregnant women, GDM patients were divided into insulin sensitive group (group A) and insulin sensitive deficiency group (group B), and group A and group B were divided into two groups according to 36-week blood glucose control: group A1 with good blood glucose control (group A1 and group B1) and group A2 with bad blood glucose control (group A2 and group B2). The age, body mass index (BMI) before pregnancy, fasting plasma glucose (FPG), blood lipids and blood glycated hemoglobin (HbA 1c ) in the first trimester, blood glucose and blood lipids in the second trimester were compared at the 28th, 32nd and 36th weeks of gestation, the number of cases, blood glucose, blood lipids and non-drug intervention were measured. Results:There were 166 cases in group A and 74 cases in group B. Blood glucose and blood lipid were normal in early pregnancy. There was no significant difference in blood glucose between group A and group B during the second trimester. The levels of blood lipids were significantly higher than those during the first trimester, and the levels of triglyceride (TG) and low-density lipoprotein cholesterol (LDL-C) were significantly higher than those during the first trimester. The number of pregnant women in group A1 was significantly more than that in group A2 in the third trimester ( P = 0.01), and the number of pregnant women in group B1 was more than that in group B2 at 28 weeks ( P = 0.01). At 32 weeks, the number of pregnant women in group B1 and group B2 was similar ( P = 0.31). At 36 weeks, the number of pregnant women in group B1 was significantly lower than that in group B2 ( P = 0.01). In the third trimester of pregnancy, the levels of blood glucose in group B2 were higher than those in group A2 ( P<0.05). The levels of TG and LDL-C in group A2 and group B2 were higher than those in group A1 and group B1 respectively, high-density lipoprotein cholesterol (HDL-C) was lower than that in group A1 and group B1( P<0.05), and there was no significant difference in TC between group A2 and group A1 at 28 and 32 weeks ( P>0.05), but it was significantly higher at 36 weeks ( P = 0.01). In the third trimester of pregnancy, diet control was the most common (91.7%, 87.7%, 81.6%, respectively) in group A ( P>0.05). The proportions of diet-only and diet-plus exercise interventions were similar in group B1 at 28 weeks and 32 weeks (52.9% vs. 47.1%, 45.7% vs. 54.3%)( P = 0.072, 0.113). At the 36 weeks, the main intervention was diet combined with exercise (73.3%). In group B2, dietary intervention (69.6%, 71.8%, 69.5%) was the main cause of poor control of blood glucose. Conclusions:In GDM patients with insulin sensitivity deficiency, the blood glucose and blood lipids in the second trimester are obviously increased, and the abnormality in the third trimester is even greater.

Objective:To understand the epidemiological characteristics of metabolic syndrome(MetS) among adult residents in Zhejiang Province and compare three diagnostic criteria in adult residents.Methods:In this cross-sectisnal study participants were randomly chosen using multi-stage stratified cluster sampling method from 10 national chronic disease risk factor monitoring sites in Zhejiang Province of the 2018 China Chronic Disease and Risk Factors Surveillance Project. Demographics and information on chronic disease prevalence were obtained through questionnaire, physical measurements, and laboratory. After complex weighting of the data, an analysis and comparison of the prevalence of MetS under different diagnostic criteria among adult residents in Zhejiang Province was conducted.Results:A total of 5 369 adult residents were included, 2 411 males and 2 958 females. The prevalence of MetS using JIS, CDS and IDF diagnostic criteria was 33.62%, 25.32%, and 24.25%, respectively. The consistency rate between IDF and JIS was the highest(89.11%) and the Kappa value was 0.768( P<0.001). The consistency rate between IDF and CDS diagnostic criteria was 84.53%, and the Kappa value was 0.631( P<0.001). The consistency rate between JIS and CDS was the lowest(83.17%), and the Kappa value was 0.621( P<0.001). Under CDS diagnostic criteria, the prevalence of MetS was associated to gender, marital status, smoking and drinking. Conclusion:The prevalence of MetS is at a relatively high level among adult residents in Zhejiang province. The consistency between IDF and JIS diagnostic criteria is the highest. Screening for MetS should be strengthened to detect high-risk individuals early, reduce the risk of cardiovascular and cerebrovascular diseases and diabetes, and improve the quality of life of residents.

Objective: To investigation the correlation between sleep duration and hypertension among adults in Zhejiang Province, and to provide scientific evidence for the prevention and control of hypertension. Methods: Permanent residents at age of 18 years and older were enrolled from 10 surveillance sites for risk factors of chronic diseases included in the 2018 China Chronic Diseases and Risk Factors Surveillance Program. Subjects' demographic characteristics, smoking, alcohol consumption, sleep duration and development of hypertension were collected, and following complex weighting calculations, the association between sleep duration and hypertension were examined using a multivariable logistic regression model. Results: Totally 5 770 adults were included, including 2 952 men (50.72%) and 3 178 women (49.28%), and the prevalence of hypertension was 29.39% (2 702 cases). There were 712 (8.37%), 1 077 (18.77%), 1 582 (28.68%), 1 717 (34.60%) and 682 adults (9.57%) with sleep duration of <6 h/d, 6 to 7 h/d, 7 to 8 h/d, 8 to 9 h/d and 9 h/d and longer, respectively. Taking the sleep duration of 7 to 8 h/d as a reference, multivariable logistic regression analysis identified a significant association between sleep duration of <6 h/d and the risk of hypertension (OR=1.709, 95%CI: 1.184-2.466), a significant association between sleep duration of 9 h/d and longer and the risk of hypertension (OR=1.369, 95%CI: 1.006-1.862) in men, significant associations between sleep duration of <6 h/d (OR=2.174, 95%CI: 1.528-3.093) and 6 to 7 h/d (OR=1.412, 95%CI: 1.078-1.850) and the risk of hypertension in women, and significant associations between sleep duration of <6 h/d (OR=3.095, 95%CI: 1.025-9.347) and 6 to 7 h/d (OR=2.046, 95%CI: 1.156-3.622) and the risk of hypertension in residents at ages of 18 to 44 years. Conclusions Short sleep duration may increase the risk of hypertension among adults at ages of 18 to 44 years in Zhejiang Province. Short sleep duration may increase the risk of hypertension in women and long sleep duration may increase the risk of hypertension in men.

Objective: To investigate the degree and influencing factors of glycosylated hemoglobin ( HbA1c ) control among patients with type 2 diabetes ( T2DM ) living in rural communities of Zhejiang Province, so as to provide the reference for optimizing the management of diabetes patients in rural communities. Methods: Permanent adult patients with T2DM that were registered and received standardized management in all communities of Jiashan County and Suichang County, and 6 communities of Yongkang City, Zhejiang Province in 2016 were recruited, and their demographic characteristics were captured from the health record system and chronic disease management system. The height, body weight, waist circumstance and blood pressure were measured, and HbA1c and blood lipid parameters were detected. The degree of HbA1c control ( <7% ) was analyzed, and its influencing factors were identified using a multivariable logistic regression model. Results: A total of 10 339 patients with T2DM were enrolled, including 4 520 men ( 43.72% ) and 5 819 women ( 56.28% ), with a mean age of ( 63.54±9.78 ) years and the mean course of diabetes of ( 6.36±4.73 ) years. The rate of HbA1c control was 47.89%. Multivariable logistic regression analysis showed that males ( OR=1.123, 95%CI: 1.024-1.233 ), region ( Suichang, OR=2.413, 95%CI: 2.106-2.765; Yongkang, OR=2.460, 95%CI: 2.188-2.767 ), course of disease ( 5-9 years, OR=1.724, 95%CI: 1.504-1.977; 10 years and longer, OR=2.881, 95%CI: 2.477-3.351 ), use of hypoglycemic drugs ( OR=1.203, 95%CI: 1.089-1.329 ), development of chronic complications ( OR=1.190, 95%CI: 1.027-1.379 ), uncontrolled blood pressure ( OR=1.140, 95%CI: 1.030-1.261 ), uncontrolled blood lipid ( OR=1.258, 95%CI: 1.104-1.433 ), and smoking ( OR=1.318, 95%CI: 1.165-1.491 ) were statistically associated with HbA1c control among T2DM patients. Conclusion The rate of HbA1c control was 47.89% among T2DM patients in rural communities of Zhejiang Province. HbA1c control should be given a high priority among men living in low-economic-level regions with long course of disease, use of hypoglycemic drugs, chronic complications, smoking, uncontrolled blood pressure and lipid.

Objective: To understand the underreporting rate of death among residents in Zhejiang Province from 2016 to 2018, so as to provide a basis for improvement of death surveillance measures. Methods: Multi-stage random cluster sampling was used to select residents in 30 public health surveillance areas of Zhejiang Province and all the residents were investigated the general information and death conditions that occurred during the period 2016-2018 by door to door visit. The underreporting rate of death was calculated and descriptive methods were used to analyze the causes of underreporting deaths. Results: A total of 358 992 residents were investigated in 30 public health surveillance areas of Zhejiang Province. There were 63 underreporting deaths among 5 896 deaths, with an underreporting rate of 1.07%. The underreporting rate in men was 1.30%, which was higher than 0.75% in women ( P<0.05 ). The underreporting rate of residents aged 20 to <40 years was 6.74%, the highest among all the age groups ( P<0.05 ). The underreporting rate was 4.46% on the way to the hospital, the highest among all the places of death ( P<0.05 ). The underreporting rate in Wuxing District of Huzhou was 5.80%, the highest among all the surveillance areas. There were 25 cases of "late report or untimely review", accounting for 39.68%; 38 cases of "not report", accounting for 60.32%, of which 14 cases were caused by doctors forgetting to report, accounting for 22.22%. Conclusion The underreporting rate of death in Zhejiang Province from 2016 to 2018 is generally low. In response to underreporting deaths, multi-departmental collaboration should be promoted to effectively strengthen the reporting and management of routine death surveillance.

Objectives:To investigate the association between body mass index (BMI) changes and other risk factors for cardiovascular disease in patients with type 2 diabetes mellitus (T2DM).Methods:Based on the T2DM cohort in rural communities of Zhejiang province, baseline and follow up information of height, weight, blood pressure, glycated hemoglobin (HbA1c), TC, TG, LDL-C and HDL-C of the T2DM patients were collected. After excluding those who died during the follow-up period, lost follow-up or had incomplete information, a total of 8 953 T2DM patients were included in the final analysis. Multiple linear regression and Cox proportional hazards regression models were used for analysis.Results:At baseline survey, 40.97% of the T2DM patients were overweight and obese. Compared with those with normal BMI, the SBP, DBP and TG level were significantly higher, while HDL-C level was significantly lower in the overweight and obese T2DM patients ( P<0.01). During the follow-up period, the blood glucose control rate in the patients increased by 15%, and the levels of HbA1c decreased in the patients with different BMI changes at different degrees. Compared with the patients who kept normal BMI, the HbA1c level decrease had a smaller range, while the SBP and DBP increase had a larger range in the patients with persistent overweight and obesity, and their substandard rates of HbA1c, SBP, DBP, TG, HDL-C levels were 1.142 (1.057-1.233) times, 1.123 (1.055-1.196) times, 1.220 (1.128-1.320) times, 1.400 (1.282-1.528) times and 1.164 (1.069-1.267) times higher. The changes of blood pressure, blood lipids and other related indicators in the patients whose BMI became abnormal were similar to those of the patients with persistent overweight and obesity; Compared with the patients whose BMI were kept normal, the differences in changes and substandard rate of blood glucose level, blood pressure level in the patients whose BMI became normal were not significant ( P>0.05). The change value of BMI was positively correlated with the change value of SBP, DBP, TG and LDL-C, while negatively correlated with the change value of HDL-C ( P<0.05). Conclusions:Abnormal changes in BMI are associated with the adverse changes of blood glucose level, blood pressure, and blood lipids level and other cardiovascular disease risk factors. Keeping normal BMI would benefit the positive outcome of cardiovascular adverse factors.

Objective: To learn the prevalence of dyslipidemia and its influencing factors among patients with type 2 diabetes mellitus (T2DM) in rural areas of Zhejiang Province, and to provide evidence for dyslipidemia control. Methods: A sample of 10 343 patients with T2DM managed by communities from three counties (Jiashan,Suichang and Yongkang) were recruited. Through the residents’ health record system and specific investigation, demographic features,physical examination results of blood pressure,height, weight, waist circumstance (WC), glycated hemoglobin (HbA1c),total cholesterol (TC),triglyceride (TG),low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) were collected to analyze the spectrum of dyslipidemia. A logistic regression model was established to explore the associated factors of dyslipidemia. Results : The prevalence rate of dyslipidemia among the patients with T2DM in rural communities was 66.91%. The prevalence rates of higher level of TC, TG, LDL-C were 41.76%, 41.28%, 15.89%, respectively, while the prevalence rateof lower level of HDL-C was 16.92%. The prevalence rates of purely high TC,high TC with TG and purely high TG were 11.84%,11.75% and 11.47%,respectively. Higher level of TG with lower level of HDL-C was common in males (11.32%) and higher level of TC with TG was common in females (14.60%). The results from multivariate logistic regression analysis indicated that females(OR=1.499,95%CI:1.352-1.663),age(OR=0.992,95%CI:0.988-0.996),poor control of HbA1c(OR=1.241,95%CI:1.141-1.351), abdominal obesity(OR=1.169,95%CI:1.064-1.285),overweight(OR=1.384,95%CI:1.257-1.524)and obesity(OR=1.582,95%CI:1.352-1.852)were associated with dyslipidemia. Conclusions The prevalence of dyslipidemia is relatively higher among the patients with T2DM in rural communities of Zhejiang Province. Higher level of TC and TG contributed to most dyslipidemia. The patients with T2DM who are females,have poor control of plasma glucose and suffer from obesity should be under surveillance.

Objective : To optimize the primary prevention strategies of birth defects in Zhejiang Province by Delphi method, so as to promote the capacity of birth defects prevention. Methods: The expert consultation questionnaire was developed based on the relevant policies of Zhejiang Province and literature. Ten experts from medical institutions and health administrative departments were employed for one round Delphi expert consultation. The weighted scores and priorities of ten measures for the primary prevention of birth defects in Zhejiang Province were determined, as well as the suggestions of optimizing the current policies. Results : The response rate of the experts was 90.91%; the coefficient of authority was 0.92; the coefficients of variation of ten measures were all less than 0.25; the coefficient of coordination was 0.31 ( P<0.05 ) , which indicated the opinions of the experts tended to be consistent. In the order of priority, ten primary prevention measures of birth defects were the improvement of birth defects surveillance network ( province, city and county level ) , the training of birth defects prevention talents, the construction of genetic consultation clinics, health education and publicity, the reproduction outpatient service construction for older people, free premarital medical examination, free pre-pregnancy eugenics test, the construction of drug consultation clinics, career planning and training of birth defect prevention and control consultants and free folic acid supplement to the whole population. Nine experts suggested that the following policies need to be optimized: birth defects surveillance system, free premarital medical examination, and health education and publicity. Conclusion In the primary prevention of birth defects in Zhejiang Province, the most urgent problem to be solved is the improvement of the three-level birth defects surveillance network.

Novel Coronavirus Pneumonia (NCP) is a class B infectious disease, which is prevented and controlled according to class A infectious diseases. Recently, children′s NCP cases have gradually increased, and children′s fever outpatient department has become the first strategic pass to stop the epidemic. Strengthening the management of the fever diagnosis process is very important for early detection of suspected children, early isolation, early treatment and prevention of cross-infection. This article proposes prevention and control strategies for fever diagnosis, optimizes processes, prevents cross-infection, health protection and disinfection of medical staff, based on the relevant diagnosis, treatment, prevention and control programs of the National Health and Health Commission and on the diagnosis and treatment experience of experts in various provinces and cities. The present guidance summarizes current strategies on pre-diagnosis; triage, diagnosis, treatment, and prevention of 2019-nCoV infection in common fever, suspected and confirmed children, which provide practical suggestions on strengthening the management processes of children′s fever in outpatient department during the novel coronavirus pneumonia epidemic period.