Fasting glucose and its association with 20-year all-cause and cause-specific mortality in Chinese general population.

OBJECTIVE: The aim of this study was to explore the relationship between fasting glucose levels and all-cause and cause-specific mortality in Chinese population. METHODS: The role of fasting blood glucose levels as a predictor of all-cause and cause-specific mortality was estimated in 9930 participants from four Chinese general populations with a 20-year follow-up. Multivariate Cox proportional hazard models were used to identify the relationship between fasting glucose and mortality. RESULTS: There were 1471 deaths after a median follow-up of 20.2 years (a total of 187,374 person-years), including 310 cardiovascular deaths, 581 cancer deaths, and 580 other-cause deaths. After adjustment for age, sex, urban or rural, northern or southern of China, types of work, education level, physical exercise, smoking status, drinking status, body mass index, systolic blood pressure, and serum total cholesterol at baseline, the hazard ratios (HRs) and 95% confidence intervals (CIs) for all-cause mortality in the fasting blood glucose categories of <60, 60-69, 70-79, 90-99, 100-109, 110-125, and ≥126 mg/dl were 1.38 (1.04-1.84), 1.20 (1.01-1.43), 1.18 (1.03-1.36), 1.18 (0.99-1.41), 1.48 (1.16-1.88), 1.17 (0.84-1.62), and 2.23 (1.72-2.90), respectively, in contrast to the reference group (80-89 mg/dl). The HRs and 95% CIs for cardiovascular disease mortality in these groups were 2.58 (1.44-4.61), 1.41 (0.95-2.10), 1.56 (1.15-2.11), 1.29 (0.88-1.89), 1.36 (0.78-2.37), 1.05 (0.52-2.11), and 2.73 (1.64-4.56), respectively. CONCLUSIONS: Both low and high fasting glucose were significantly associated with increased risk of all-cause and cardiovascular mortality in Chinese general population.

[Analysis of environmental risk factors in congenital heart defects].

OBJECTIVE: To explore the environmental risk factors of different categories of congenital heart defects (CHD) and provide evidence for further risk factors and prevention research of CHD phenotypes. METHODS: Data of Guangdong CHD Register Study from 2004 to 2012 were used. In the study, 3 038 CHD cases and 3 038 paired controls from 34 hospitals distributed in 17 cities were registered and related information were collected using uniform, and structured questionnaires. All the CHD phenotypes were coded according to the International Classification of Diseases 10th Revision (ICD-10) and classified into 6 categories according to their pathological features. Univariate analyses were adopted to filter potential risk factors for each category of CHD. Then multivariate conditional Logistic regression was used to calculate the odds ratios of the risk factors for each category of CHD. RESULTS: The risk factors for left-to-right shunt CHD included low (OR=2.63, 95%CI:2.04-3.39) or over birth weight (OR=2.21, 95%CI: 1.47-3.32), premature delivery (OR=1.95, 95%CI: 1.53-2.49), polyembryony (OR=1.99, 95%CI: 1.22-3.26), maternal low education, mother as factory worker (OR=1.62, 95%CI: 1.32-1.98), parity≥2 (OR=1.38, 95%CI: 1.13-1.69), maternal abnormal reproduction history (OR=2.29, 95%CI: 1.75-3.01), fever (OR=2.38, 95%CI: 1.26-4.48), virus infection (OR=1.80, 95%CI: 1.29-2.51), medicine usage (OR=1.73, 95%CI: 1.11-2.69), passive smoking (OR=1.69, 95%CI: 1.26-2.29), chemical agent contact (OR=8.71, 95%CI: 2.33-32.58), living in newly decorated houses (OR=2.56, 95%CI: 1.60-4.09) or room close to the main road (OR=1.40, 95%CI: 1.14-1.72) in the first 3 months of pregnancy and father as factory worker (OR=1.46, 95%CI: 1.23-1.73). The risk factors for pulmonary outflow tract obstruction CHD included low (OR=5.98, 95%CI: 2.88-12.44) or over birth weight (OR=6.56, 95%CI:1.19-36.26), maternal low education, parity≥2 (OR=2.08, 95%CI: 1.03-4.22), virus infection in the first 3 months of pregnancy (OR=4.30, 95%CI: 1.27-13.45). The risk factors for left ventricular outflow tract obstruction CHD included father as factory worker (OR=6.01, 95%CI:1.05-34.59). The risk factors for transposition of the great arteries included low birth weight (OR=12.93, 95%CI:1.14-146.26), maternal low education, mother as factory worker (OR=3.69, 95%CI:1.53-8.91). The risk factors for conditions with intra cardiac mixing of oxygenated and deoxygenated blood included parity=2 (OR=3.45, 95%CI: 1.42-8.38). The risk factors for other CHD included over birth weight (OR=4.87, 95%CI: 1.19-19.94), maternal abnormal reproduction history (OR=2.96, 95%CI: 1.14-7.68), virus infection (OR=4.92, 95%CI: 1.56-15.47), medicine usage (OR=4.90, 95%CI: 1.22-19.77) or passive smoking (OR=10.31, 95%CI: 1.25-85.05) in the first 3 months of pregnancy. CONCLUSION: The environmental risk factors were discrepant among different categories of CHD. Further risk factors study of CHD phenotypes should be performed specially. To prevent CHD, attention should be paid to the risk factors which are related to multi or complex categories of CHD.

[Study on the differences of risk factors regarding congenital heart defects between floating population and permanent residents in Guangdong].

OBJECTIVE: To analyze the differences of risk factors on congenital heart defect (CHD)between floating population and permanent residents in Guangdong. METHODS: A multicenter case-control study was carried out to investigate the risk factors of CHD in floating population and in permanent residents. Data was from 34 Guangdong CHD Monitoring Network centers during the year of 2004 to 2011. Exposed information related to the parents at pre-pregnancy and early pregnancy periods, was collected, using the same questionnaire survey methodology in the two populations. Possible risk factors were analyzed by univariate analysis and multivariate non-conditional logistic regression(ENTER method)methods. Risk factors were compared between the two populations. RESULTS: Totally, 855 CHD cases and their controls from the floating population, as well as 1673 cases and their controls from the permanent residents were included in this study. Age of the children under study was defined from 28th week of gestation to 1 year old postnatal. In the floating population, specific risk factor for CHD appeared as:maternal passive smoking in early pregnancy, while the specific protective factor as high family income. However, the specific risk factors would include: having diseases as maternal diabetes mellitus or syphilis, living in a newly (within half a year) decorated house or with fetal macrosomia in the permanent residents. High education level showed as a risk factor in floating population, however contrarily, as protective factor to the permanent residents. Except for the factors related to having fever of the mother and infant with low birth weight, factors as having history of deliveries more than two, with maternal virus infection, exposure to chemical agent and negative bearing history etc., have higher OR values in floating population than in the permanent residents. CONCLUSION: Significant differences of risk factors for CHD were noticed between floating population and the permanent residents, which have their individual specific risk factors. Most of the ORs appeared higher in floating population than in the permanent residents.

[Risk factors of congenital heart defects in fetal and infants born from 2004 to 2011 in Guangdong].

OBJECTIVE: To analyze the risk factors of congenital heart defects (CHD) in fetal and infants born from 2004 to 2011 in Guangdong province. METHODS: Babies with CHD aged from 28th week of gestation to 1 year old postnatal from July 1 2004 to December 31 2011 were registered in Guangdong CHD monitoring network with 34 participating units. Totally 2568 CHD cases were included, and 1: 1 matched with a normal control cohort by gender, living district and birth date (time span within 3 months).Exposed information of mother and father at pre-pregnancy and early pregnancy was collected. Post collinearity diagnostics analysis, univariate analysis results were included in a multivariate analysis model with forward stepwise conditional logistic regression. RESULTS: Multivariate conditional logistic regression analysis showed that high risk factors for CHD included low birth weight infant (OR = 5.34, P < 0.01), macrosomia (OR = 1.67, P < 0.05), low per capita income (0-1200 yuan, OR = 1.68, P < 0.01), exposure to chemical agent at early pregnancy (OR = 19.72, P < 0.01), floating population (OR = 2.13, P < 0.01), abnormal reproductive history (OR = 3.18, P < 0.01), exposure to passive smoking (OR = 2.59, P < 0.01), suffering from fever (OR = 3.74, P < 0.01), equal to or more than twice parity (OR = 1.45, P < 0.01), living in a newly (within six months)-decorated-apartment (OR = 2.74, P < 0.01), suffering from virus infection (OR = 2.08, P < 0.01), rural residence (OR = 1.33, P < 0.01), living in an apartment within 50 meters of major traffic road (OR = 1.52, P < 0.01), syphilis infection at early pregnancy (OR = 13.06, P < 0.05) and father's drinking habit at pre-pregnancy (OR = 1.57, P < 0.05). CONCLUSION: Numerous risk factors for CHD in fetal and infants of Guangdong province are indicated by our results, comprehensive intervention should be considered in pre-pregnancy and early pregnancy to reduce the risk of CHD.

[Current prevalence rate of congenital heart disease in 12 month-old and younger infants among four regions of Guangdong province].

OBJECTIVE: To summarize prevalence rate and region distribution of congenital heart disease (CHD) in 12-month-old and younger infants among four regions of Guangdong province, China. METHODS: Data from Guangdong CHD monitoring network including 34 monitoring units covering different geographic regions were analyzed. Professional training on screening and diagnosing CHD was provided to each work group member to improve the diagnosis level. CHD infants under or aged 12 months detected in the monitoring unit were included. CHD was diagnosed by fetus and infants echocardiography. RESULTS: From July 2004 to December 2010, 383 281 perinatal were registered and 3263 cases of CHD were detected in the 34 member units of Guangdong CHD monitoring network [total prevalence rate of CHD: 0.851% (3263/383 281), male prevalence rate: 0.868% (1799/207 347), female prevalence rate:0.828% (1456/175 843)].Stillbirth CHD prevalence rate was significantly higher than livebirth CHD prevalence rate [10.627% (676/6361) vs. 0.686% (2587/376 920), P < 0.01]. The total prevalence of CHD was significantly higher in Pearl River Delta region [0.906% (2826/311 823)] than in other regions [0.611% (437/71 458), P < 0.01]. Ventricular septal defect [39.93% (1033/2587) in livebirth] was the most dominant CHD, followed by patent ductus arteriosus [29.84% (772/2587)] and secundum atrial septal defect [13.76% (356/2587)]. CONCLUSIONS: The present data indicate that the prevalence of CHD in Guangdong is at the medium-upper level of the country associated with high stillbirth rate. The dominant type of CHD is ventricular septal defect. CHD prevalence is higher in the Pearl River Delta region than in other regions.

[Association between heart rate and all-cause death and coronary event in the Chinese cohort: 16 years follow up results].

OBJECTIVE: To evaluate the association between resting heart rate (HR) and all-cause death and coronary heart disease (CHD) events in the Chinese cohort. METHODS: Data were obtained from the PRC-USA Cooperative Study on Cardiovascular and Cardiopulmonary Epidemiology. Baseline screen surveys were conducted in 1983 and 1984 from people aged 35 to 59 years living in urban or rural areas of Beijing and Guangzhou. Follow-up visits were performed for end point events of all-cause death and first CHD events every two years till 2005. Resting HR was determined from 5 consecutive intervals between R waves on the 12-lead electrocardiogram. RESULTS: A total of 9856 (4805 males) people were included in the study and the mean follow up duration was 16.2 years. There were 1523 deaths, including 200 CHD events during the follow up period. Mean resting HR was 67.9 beat per minute (bpm) in men and 71.6 bpm in women respectively which had a trend to increase with aging. Cox Proportional Hazards model indicated the relative risk of all-cause death increased constantly with the increase of HR percentile after control of age, fasting glucose, serum cholesterol, serum triglyceride, body mass index, systolic blood pressure and diastolic blood pressure. With HR 60-89 bpm as control group, the relative risk and 95% confidence interval in group HR < 50 bpm, 50 - 59 bpm, 90 - 99 bpm and > or = 100 bpm were 0.76 (0.49 - 1.17), 0.87 (0.75 - 1.02), 1.33 (1.06 - 1.68), 1.48 (1.03 - 2.14) respectively. However there was no significant correlation between HR and CHD events in studied population. CONCLUSION: The risk of total death increased significantly in people with HR > or = 90 bpm suggesting higher resting heart rate might be an independent risk factor for all-cause death in the Chinese population.