Association of change in waist circumference and dyslipidaemia risk: The rural Chinese cohort study.

OBJECTIVE: To investigate the association of change in waist circumference (WC) and incidence of dyslipidaemia in a cohort study of a rural Chinese population. METHODS: Change in WC (ΔWC) was defined as the value at follow-up minus the corresponding value at baseline. Risk of dyslipidaemia associated with ΔWC was assessed by odds ratios and 95% confidence intervals in a logistic regression model, and the odds ratios were transformed to relative risks (RRs). RESULTS: Among 7691 participants without dyslipidaemia at baseline, 3213 (41.78%) showed dyslipidaemia at 6 year follow-up. Risk of dyslipidaemia was decreased for participants with the first quartile of ΔWC and normal baseline WC (adjusted RR [aRR] = 0.79 [95% confidence interval: 0.64-0.98]) and was increased with the fourth quartile of ΔWC and male gender, age 18 to 30 years, age 31 to 50 years, or normal baseline WC (aRR = 1.55 [1.19-2.03], 2.40 [1.16-4.95], 1.32 [1.06-1.64], and 1.66 [1.35-2.04], respectively). The risk of dyslipidaemia increased with change in WC from normal at baseline to abnormal at follow-up for both genders (aRR = 1.88 [1.39-2.55] for men and 1.60 [1.30-1.97] for women) and decreased with abnormal baseline WC changed to normal WC for women (aRR = 0.61 [0.45-0.83]). CONCLUSIONS: Dynamic change in waist circumference was closely related to the incidence of dyslipidaemia in a rural Chinese population. Waist circumference reduction could decrease dyslipidaemia risk, whereas WC increase may increase the risk. Interventions to control or reduce WC to within the normal range are important for early prevention of dyslipidaemia.

Cohort study to determine the waist circumference cutoffs for predicting type 2 diabetes mellitus in rural China.

BACKGROUND: Limited information is available on the cutoffs of waist circumference (WC) for predicting type 2 diabetes mellitus (T2DM). We aimed to define the optimal WC cutoffs for predicting T2DM among rural Chinese people. METHODS: A cohort of 11 968 participants (732 new-onset T2DM) from a rural area in China with age 18 to 87 years was established at baseline during July to August of 2007 and 2008 and followed up during July to August of 2013 and 2014. Scatterplot, X-tile plot, and receiver operating characteristic (ROC) curve analyses were used to determine WC cutoffs for predicting T2DM. RESULTS: The WC cutoffs for males and females were 84 and 86 cm (scatterplot), 83 and 88 cm (X-tile plot), and 87 and 88 cm (ROC curve). According to the highest risk score, the optimal WC cutoffs were 87 cm for males and 88 cm for females. With the optimal WC cutoffs, the sensitivity, specificity, positive likelihood ratio, area under the ROC curve, and population-attributable risk proportions were 67.9%, 67.0%, 2.06%, 0.70%, and 46%, respectively, for males and 52.5%, 75.0%, 2.10%, 0.69%, and 34%, respectively, for females; the corresponding adjusted hazard ratio for WC predicting T2DM was 3.66 (95% confidence interval 2.80-4.78) for males and 2.55 (2.08-3.12) for females. CONCLUSIONS: The optimal WC cutoffs for predicting T2DM were similar between males and females. As well, the criteria of WC for central obesity are no longer practical for predicting T2DM.

Sex-specific relationship between visceral fat index and dyslipidemia in Chinese rural adults: The Henan Rural Cohort Study.

The study aimed to explore the relationship between visceral fat index (VFI) and dyslipidemia and evaluate the efficiency of VFI as a marker for identifying dyslipidemia in Chinese rural adults. The cross-sectional study recruited 35,832 aged 18-79 years eligible participants from The Henan Rural Cohort Study. VFI was measured by bioelectrical impendence methods and classified into sex-specific quartiles. Fasting blood samples were collected. Logistic regression models with VFI as a categorical variable and restricted cubic spline regression models with VFI as a continuous variable were performed to obtain odds ratios (ORs) and 95% confidence intervals (CIs). Receiver-operating characteristic (ROC) curve was conducted to evaluate the identifying performance of VFI. The age-standardized prevalence of dyslipidemia was 29.80% and 26.01% in male and female, respectively. Increasing VFI quartiles were significantly positively related to the risk of dyslipidemia and its components (Pfor trend < 0.01). The adjusted ORs (95% CIs) for per 1-SD increase in VFI were 2.11 (2.02-2.20) and 1.52 (1.47-1.56) in male and female, respectively, and dose-response relationships were observed in both genders (Pfor nonlinearity < 0.01). In addition, area under the curves (AUCs) in male (0.697) was larger than in female (0.655) (P < 0.05). VFI was significantly positively related to the risk of dyslipidemia and its components, and the risk was shown to be more prominent in male. Meanwhile, dose-response relationships were observed in both genders. Furthermore, VFI might be a relatively effective marker for identifying dyslipidemia in male, but not in female.

Cumulative increased risk of incident type 2 diabetes mellitus with increasing triglyceride glucose index in normal-weight people: The Rural Chinese Cohort Study.

BACKGROUND: Risk of type 2 diabetes mellitus (T2DM) is increased in metabolically obese but normal-weight people. However, we have limited knowledge of how to prevent T2DM in normal-weight people. We aimed to evaluate the association between triglyceride glucose (TyG) index and incident T2DM among normal-weight people in rural China. METHODS: We included data from 5706 people with normal body mass index (BMI) (18.5-23.9 kg/m2) without baseline T2DM in a rural Chinese cohort followed for a median of 6.0 years. A Cox proportional-hazard model was used to assess the risk of incident T2DM by quartiles of TyG index and difference in TyG index between follow-up and baseline (TyG-D), estimating hazard ratios (HRs) and 95% confidence intervals (CIs). A generalized additive plot was used to show the nonparametric smoothed exposure-response association between risk of T2DM and TyG index as a continuous variable. TyG was calculated as ln [fasting triglyceride level (mg/dl) × fasting plasma glucose level (mg/dl)/2]. RESULTS: Risk of incident T2DM was increased with quartiles 2, 3 and 4 versus quartile 1 of TyG index (adjusted HR [aHR] 2.48 [95% CI 1.20-5.11], 3.77 [1.83-7.79], and 5.30 [2.21-12.71], P trend < 0.001 across quartiles of TyG index). Risk of incident T2DM was increased with quartile 4 versus quartile 1 of TyG-D (aHR 3.91 [2.22-6.87]). The results were consistent when analyses were restricted to participants without baseline metabolic syndrome and impaired fasting glucose level. The generalized additive plot showed cumulative increased risk of T2DM with increasing TyG index. CONCLUSIONS: Risk of incident T2DM is increased with increasing TyG index among rural Chinese people, so the index might be an important indicator for identifying people at high risk of T2DM.

A risk-score model for predicting risk of type 2 diabetes mellitus in a rural Chinese adult population: A cohort study with a 6-year follow-up.

BACKGROUND: Several prediction tools have been developed to identify people with type 2 diabetes mellitus (T2DM) and to quantify the probability of developing T2DM. However, most of the risk models were constructed based on cross-sectional studies and tea-drinking was not included. METHODS: A total of 15 768 participants without known T2DM were followed up from 2007-2008 to 2013-2014; 12 654 were randomly assigned to the derivation dataset and 3114 to the validation dataset. We constructed a risk-score model for T2DM by using a Cox proportional-hazards model. Risk scores were calculated by multiplying ß by 10 in the derivation cohort and were verified in the validation dataset. The model's accuracy was assessed by the area under the receiver operating characteristic curve (AUC). RESULTS: Predictors for T2DM risk in the derivation dataset were drinking tea frequently, body mass index ≥28.0 kg/m2 , waist to height ratio ≥ 0.5, triglycerides level 1.70 to 2.25 and ≥2.26 mmol/L, and fasting plasma glucose 5.6 to 6.0 and ≥6.1 mmol/L. The corresponding scores were -2, 7, 7, 4, 6, 11, and 25, respectively. The sensitivity, specificity, and AUC (95% confidence interval) for this full model were 69.63%, 75.56%, and 0.791 (0.783-0.799), respectively. The ability of the non-invasive models to predict T2DM was not superior to that of the full model. With the validation dataset, the predictive performance was better for our full model than the Framingham risk-score model (AUC 0.731 vs 0.525, P < .001). CONCLUSIONS: Our risk-score model has fair efficacy for predicting 6-year risk of T2DM in a rural adult Chinese population.

Prevalence of hypertriglyceridemic waist and association with risk of type 2 diabetes mellitus: a meta-analysis.

INTRODUCTION: A meta-analysis of studies assessing the prevalence of hypertriglyceridemic waist and an association with risk of type 2 diabetes mellitus (T2DM). MATERIALS AND METHODS: PubMed, EMBASE, Web of Science, CNKI, CQVIP and Wanfang databases were searched for studies of the prevalence of hypertriglyceridemic waist or association with risk of T2DM. Reference lists of each original article were also searched. A random-effects model was used to synthesize the combined prevalence and odds ratios. Publication bias and substantial heterogeneity were examined. RESULTS: Twenty-five eligible studies involving 93 194 participants (93 194 for prevalence and 34 199 for odds ratios): 17 articles of prevalence, and 8 of both prevalence and risk of T2DM. Prevalence of hypertriglyceridemic waist ranged from 4% to 47%, with pooled prevalence of 18% (95% CI 13-23%), overall: 18% (95% CI 13-23%) for men and 19% (95% CI 13-24%) for women. Odds ratios ranged from 2.8 to 9.6 for T2MD in overall, with pooled odds ratios of 4.18 (95% CI 3.55-4.92), overall: 3.55 (95% CI 2.93-4.31) for men and 4.18 (95% CI 3.43-5.09) for women. DISCUSSION/CONCLUSION: The prevalence of hypertriglyceridemic waist has reached an alarming level and is closely associated with increased risk of T2DM in the general population, particularly among women and among brown-skinned men and women.

Meta-analysis of associations between TCF7L2 polymorphisms and risk of type 2 diabetes mellitus in the Chinese population.

BACKGROUND: Associations between transcription factor 7-like 2 (TCF7L2) polymorphisms and type 2 diabetes mellitus (T2DM) have been evaluated extensively in multiple ethnic groups. TCF7L2 has emerged as the strongest T2DM susceptibility gene in Europeans, but the findings have been inconsistent in the Chinese population. The purpose of this meta-analysis was to evaluate the associations between TCF7L2 single nucleotide polymorphisms (SNPs) and T2DM risk in the Chinese population. METHODS: We performed searches in the PubMed, EMBASE, Cochrane, and Chinese databases (CNKI, CQVIP and Wanfang databases) for literature published from January 2007 to February 2012. We reviewed all relevant articles on TCF7L2 polymorphisms and susceptibility to T2DM in the Chinese population written in English and Chinese. Two reviewers extracted data independently using a standardized protocol, and any discrepancies were adjudicated by a third reviewer. Fixed-effects and random-effects meta-analyses were performed to pool the odds ratios (ORs). Publication bias and heterogeneity were examined. RESULTS: A total of 21 articles were confirmed to be eligible for and included in this meta-analysis: 7 (with 3942 cases and 3502 controls) concerning rs11196218 (IVS-/+4G>A), 8 (with 3377 cases and 2975 controls) concerning rs290487 (IVS3-/+C>T), and 14 (with 7902 cases and 7436 controls) concerning rs7903146 (IVS3-/+C>T). Overall, the results showed a significant association between rs7903146 and T2DM risk. The pooled ORs were 1.54 for the comparison of T and C alleles (95% CI [confidence interval]: 1.37-1.74, p = 1.47 × 10-12, I2 = 25.20%) and 1.56 for TC heterozygotes and CC homozygotes (95% CI : 1.38-1.76, p = 8.25 × 10-9, I2 = 21.00%). The rs11196218(IVS4G>A) and rs290487 (IVS3C>T) SNPs were not associated with T2DM risk. CONCLUSIONS: The rs7903146 SNP of the TCF7L2 gene is associated with increased susceptibility to T2DM in the Chinese population as a whole as well as northern Chinese and southern Chinese as subgroups.

Gender-specific associations of body mass index and waist circumference with type 2 diabetes mellitus in Chinese rural adults: The Henan Rural Cohort Study.

AIM: To assess the relationship between various obesity categories according to body mass index (BMI) and waist circumference (WC) and risk of type 2 diabetes mellitus (T2DM) among Chinese rural adults. METHODS: A total of 38,466 eligible participants were derived from The Henan Rural Cohort Study. Structured questionnaires and anthropometric and laboratory measurements were undertaken. Logistic regression was performed by gender. RESULTS: The age-standardized prevalence of T2DM in current study was 3.94% in men and 5.14% in women. Compared with participants with both normal BMI and WC, participants with normal BMI but high WC, high BMI but normal WC, or both high BMI and WC showed elevated risk of T2DM, in addition to being women with high BMI but normal WC. Moreover, when BMI and WC were included in the same multivariate adjusted model, both BMI and WC were significantly associated with increased T2DM risk in men, however, WC but not BMI remained positively associated with T2DM risk in women. CONCLUSIONS: In summary, gender-specific differences between obesity measures and T2DM were found. WC was independently associated with increased risk of T2DM regardless of BMI status in women, whereas both BMI and WC showed positive association with T2DM risk in men.

Resting heart rate and the risk of hypertension and heart failure: a dose-response meta-analysis of prospective studies.

BACKGROUND: Studies on the relationship of resting heart rate to the risks of hypertension and heart failure have been inconsistent, and the question as to whether there is a linear association between them is unanswered. OBJECTIVE: To evaluate this possible relationship, we carried out a dose-response meta-analysis of studies that looked at risks associated with resting heart rate and hypertension or heart failure. METHODS: We searched PubMed, Embase, CNKI and WanFang databases for articles published before 15 June 2017. A random-effect model was used to pool relative risks and 95% confidence intervals. Restricted cubic spline analysis was used to model the resting heart rate-hypertension and heart failure risk association. RESULTS: We identified 13 and 17 cohort studies for hypertension and heart failure, respectively. The risk for each disease, respectively, increased by 11% relative risk: 1.11 (95% confidence interval: 1.07-1.15) and 19% relative risk: 1.19 (95% confidence interval: 1.13-1.25) for each 10 beats-per-minute increment in resting heart rate. The relationship between resting heart rate and hypertension or heart failure was consistent in most subgroup analyses except for gender subgroups, with no significant association observed in the women subgroup. The results provide no evidence of a nonlinear association of elevated resting heart rate with hypertension and heart failure risk. CONCLUSION: Resting heart rate shows a linear positive association with the incidence of hypertension and heart failure.

Dose-response relationship between visceral fat index and untreated hypertension in Chinese rural population: the RuralDiab study.

The study aimed to explore the association of visceral fat index (VFI) with untreated hypertension in different genders and evaluate the practicability of VFI as a marker for discriminating untreated hypertension in Chinese rural population. A total of 12,536 eligible participants aged 35 years and older were derived from the RuralDiab study in China. VFI was assessed with bioelectrical impendence methods and divided into sex-specific quartiles. Logistic regression and restricted cubic spline regression were performed. Receiver operating characteristic curve was applied to analyze the discriminating performance of VFI. Meanwhile, a meta-analysis was conducted to validate the result of this study. Compared with the lowest VFI quartile, the adjusted odds ratios (ORs) and 95% confidence interval (95% CI) in the highest VFI quartile were 3.68 (2.91-4.66) in male and 2.63 (2.12-3.25) in female (Ptrend < .01). Nonlinear increasing trends about the risk of untreated hypertension were observed with the continuously increasing VFI in both genders (Plinearity < .01). The sensitivity and specificity in the optimal cutoff values for VFI were 58.37% and 62.26% in male, and 49.09% and 66.67% in female. The area under the curves (95% CI) were 0.64 (0.63-0.66) in male and 0.61 (0.60-0.62) in female. Meta-analysis results displayed the pooled odds ratios (95% CI) of 2.65 (1.79-3.93) in male and 2.27 (1.74-2.95) in female. VFI was significantly positively correlated with the risk of untreated hypertension, and dose-response relationships were observed in both genders in Chinese rural population. However, VFI as a marker had limited potential for discriminating untreated hypertension.

Body mass index, abdominal fatness, and hypertension incidence: a dose-response meta-analysis of prospective studies.

Despite the established relationship of obesity to hypertension, the question as to whether there is a linear association between these two morbidities is unanswered. To quantitatively evaluate the relationship between obesity and hypertension, we carried out a dose-response meta-analysis of studies that looked at the relationship of different adiposity measures to hypertension. We searched PubMed, Embase, and Web of Science databases for articles published before 27 June 2017. A random-effects model was used to pool relative risks and 95% confidence intervals. Restricted cubic spline analysis was used to model the relationship. A total of 59 studies were included. Fifty-seven cohort studies with 125,071 incident cases among 830,685 participants were included in the analysis of body mass index and hypertension with the summary relative risk for per 5-unit increment in body mass index of 1.50 (95% confidence interval: 1.40-1.59). We found that the risk of hypertension in the body mass index analysis was greater in populations where the baseline body mass index was <25 kg/m2. The summary relative risk for a 10-cm increase in waist circumference was 1.25 (95% confidence interval: 1.19-1.32) and per 0.1-unit increase in waist-to-hip ratio was 1.27 (95% confidence interval: 1.18-1.37). This meta-analysis suggests that in normal range of obesity indexes, as lean as possible may be the best suggestion to prevent hypertension incidence.

Utility of three novel insulin resistance-related lipid indices for predicting type 2 diabetes mellitus among people with normal fasting glucose in rural China.

BACKGROUND: Inexpensive and easily measured indices are needed for the early prediction of type 2 diabetes mellitus (T2DM) in rural areas of China. The aim of this study was to compare triglyceride glucose (TyG), visceral adiposity (VAI), and lipid accumulation product (LAP) with traditional individual measures and their ratios for predicting T2DM. METHODS: Data for 11 113 people with baseline normal fasting glucose in a rural Chinese cohort were followed for a median of 6.0 years. Cox proportional hazards regression was used to calculate covariate-adjusted hazard ratios (aHRs) and 95% confidence intervals (95% CIs) and receiver operating characteristic analysis was used to compare the ability of traditional measures and TyG, VAI, and LAP at baseline to predict T2DM at follow-up. RESULTS: Among individual measures, fasting plasma glucose (FPG) and waist circumference (WC) were strongly associated with T2DM. Of all lipid ratios, an elevated triglycerides (TG) to high-density lipoprotein cholesterol (HDL-C) ratio was associated the most with T2DM. Compared with the first quartiles of TyG, VAI, and LAP, their fourth quartiles were associated with T2DM for men (aHR 3.54 [95% CI 2.08-6.03], 2.89 [1.72-4.87], and 5.02 [2.85-8.85], respectively) and women (6.15 [3.48-10.85], 4.40 [2.61-7.42], and 6.49 [3.48-12.12], respectively). For predicting T2DM risk, TyG, VAI, and LAP were mostly superior to the TG: HDL-C ratio, but did not differ from FPG and WC. CONCLUSIONS: Prediction of T2DM was not improved by TyG, VAI, and LAP versus FPG or WC alone. Therefore, TyG, VAI, and LAP may not be inexpensive tools for predicting T2DM in rural Chinese people.

Dynamic status of metabolically healthy overweight/obesity and metabolically unhealthy and normal weight and the risk of type 2 diabetes mellitus: A cohort study of a rural adult Chinese population.

OBJECTIVE: We aimed to determine dynamic status of metabolically healthy overweight or obesity (MHO) and metabolically unhealthy and normal weight (MUNW) and the risk of incident type 2 diabetes mellitus (T2DM). METHODS: Body mass index and metabolic health were assessed on 11,865 eligible participants ≥18 years from 6-year follow-up cohort study of a rural Chinese population. Participants were classified as metabolically healthy and normal weight (MHNW), MHO, MUNW and metabolically unhealthy overweight or obesity (MUO) at both baseline and follow-up examinations. Hazard ratio (HR) and 95% confidence interval (CI) were used to assess baseline and their changes of BMI-metabolic status and the risk of incident T2DM. RESULTS: Risk of T2DM was increased for all participants with baseline MHO, MUNW, and MUO (adjusted HR 1.94, 95% CI 1.33-2.81; 3.10, 95% CI 2.19-4.39; and 6.63, 95% CI 4.94-8.90, all P<0.001, respectively). However, risk of T2DM was increased for participants with transformation from MHO to MUO (4.52, 95% CI 2.42-8.47, P<0.001) as compared with stable MHNW, but not stable MHO (0.53, 95CI 0.20-1.40, P=0.20). Risk of T2DM did not differ between participants with transformation from MUNW to metabolically healthy and those with stable MHNW (P>0.05), but was increased with stable MUNW (5.78, 95% CI 3.15-10.62, P<0.001). The results were consistent when analyses were restricted to participants without baseline impaired fasting glucose level. CONCLUSIONS: Our findings provide understanding for differentiating high-risk individuals for incident T2DM in Chinese population.

Comparison of body mass index, waist circumference, conicity index, and waist-to-height ratio for predicting incidence of hypertension: the rural Chinese cohort study.

This study compared the ability of body mass index (BMI), waist circumference (WC), conicity index, and waist-to-height ratio (WHtR) to predict incident hypertension and to identify the cutoffs of obesity indices for predicting hypertension in rural Chinese adults. This prospective cohort study recruited 9905 participants aged 18-70 years during a median follow-up of 6 years in rural China. Logistic regression and receiver operating characteristic (ROC) curve analyses were used to assess the association, predictive ability, and optimal cutoffs (in terms of hypertension risk factors) of the four obesity indices: BMI, WC, conicity index, and WHtR. The 6-year cumulative incidence of hypertension was 19.89% for men and 18.68% for women, with a significant upward trend of increased incident hypertension with increasing BMI, WC, conicity index, and WHtR (P for trend < 0.001) for both men and women. BMI and WHtR had the largest area under the ROC curve for identifying hypertension for both genders. The optimal cutoff values for BMI, WC, conicity index, and WHtR for predicting hypertension were 22.65 kg/m2, 82.70 cm, 1.20, and 0.49, respectively, for men, and 23.80 kg/m2, 82.17 cm, 1.20, and 0.52, respectively, for women. BMI, WC, conicity index, and WHtR cutoffs may offer a simple and effective way to screen hypertension in rural Chinese adults. BMI and WHtR were superior to WC and conicity index for predicting incident hypertension for both genders.

Leisure-time physical activity and incident metabolic syndrome: a systematic review and dose-response meta-analysis of cohort studies.

BACKGROUND: Leisure-time physical activity (LTPA) has been suggested to reduce risk of metabolic syndrome (MetS). However, a quantitative comprehensive assessment of the dose-response association between LTPA and incident MetS has not been reported. We performed a meta-analysis of studies assessing the risk of MetS with LTPA. METHOD: MEDLINE via PubMed and EMBase databases were searched for relevant articles published up to March 13, 2017. Random-effects models were used to estimate the summary relative risk (RR) of MetS with LTPA. Restricted cubic splines were used to model the dose-response association. RESULTS: We identified 16 articles (18 studies including 76,699 participants and 13,871 cases of MetS). We found a negative linear association between LTPA and incident MetS, with a reduction of 8% in MetS risk per 10 metabolic equivalent of task (MET) h/week increment. According to the restricted cubic splines model, risk of MetS was reduced 10% with LTPA performed according to the basic guideline-recommended level of 150min of moderate PA (MPA) per week (10METh/week) versus inactivity (RR=0.90, 95% CI 0.86-0.94). It was reduced 20% and 53% with LTPA at twice (20METh/week) and seven times (70METh/week) the basic recommended level (RR=0.80, 95% CI 0.74-0.88 and 0.47, 95% CI 0.34-0.64, respectively). CONCLUSION: Our findings provide quantitative data suggesting that any amount of LTPA is better than none and that LTPA substantially exceeding the current LTPA guidelines is associated with an additional reduction in MetS risk.

Secular trend of the leading causes of death in China from 2003 to 2013.

BACKGROUND: To analyze the epidemiological characteristics and secular trends of the leading causes of death in China. METHODS: Data on the leading causes of death was collected from the Statistical Yearbook of China. Data for 11 years, from 2003 to 2013, was analyzed by regression analysis and chi-square test. RESULTS: The top 3 causes of death from 2009 to 2013 were cancer, cerebrovascular disease, and cardiopathy, with the role of cardiopathy increasing over time (P<0.01). The proportion of deaths related to cardio-cerebrovascular diseases in urban and rural areas increased to 41.9% and 44.8%, respectively, in 2013, and was significantly higher than that for cancer, 25.5% and 22.4% (both P<0.01). Injury and poisoning in urban or rural areas represented the fifth leading cause of death. In 2006, endocrine, nutritional, and metabolic diseases were the sixth main cause of death, with 3.3% in urban areas. The role of genito-urinary, respiratory, and digestive system diseases in urban areas and genito-urinary system diseases in rural areas decreased during this period (all P<0.05). CONCLUSION: Cancer, cerebrovascular disease, and cardiopathy accounted for more than 67% of all deaths from 2007 to 2013 in China, and significantly increased in proportion from 2003 to 2013.

Meta-analyses of the association of G6PC2 allele variants with elevated fasting glucose and type 2 diabetes.

OBJECTIVE: To collectively evaluate the association of glucose-6-phosphatase catalytic unit 2 (G6PC2) allele variants with elevated fasting glucose (FG) and type 2 diabetes (T2D). DESIGN: Meta-analysis. DATA SOURCES: PubMed, Web of Knowledge and Embase databases. STUDY SELECTION: Full text articles of studies that identified an association of G6PC2 with T2D and elevated FG. PATIENT INVOLVEMENT: There was no T2D patient involvement in the analyses on the association of FG with G6PC2, there were T2D patients and non-diabetes patient involvement in the analyses on the association of T2D with G6PC2. STATISTICAL ANALYSIS: Random-effects meta-analyses were used to calculate the pool effect sizes. I2 metric and H2 tests were used to calculate the heterogeneity. Begg's funnel plot and Egger's linear regression test were done to assess publication bias. RESULTS: Of the 423 studies identified, 21 were eligible and included. Data on three loci (rs560887, rs16856187 and rs573225) were available. The G allele at rs560887 in three ethnicities, the C allele at rs16856187 and the A allele at rs573225 all had a positive association with elevated FG. Per increment of G allele at rs560887 and A allele at rs573225 resulted in a FG 0.070 mmol/l and 0.075 mmol/l higher (ß (95% CI) = 0.070 (0.060, 0.079), p = 4.635e-50 and 0.075 (0.065, 0.085), p = 5.856e-48, respectively). With regard to the relationship of rs16856187 and FG, an increase of 0.152 (95% CI: 0.034-0.270; p = 0.011) and 0.317 (95% CI: 0.193-0.442, p = 6.046e-07) was found in the standardized mean difference (SMD) of FG for the AC and CC genotypes, respectively, when compared with the AA reference genotype. However, the G-allele of rs560887 in Caucasians under the additive model and the C-allele of rs16856187 under the allele and dominant models were associated with a decreased risk of T2D (OR (95% CI) = 0.964 (0.947, 0.981), p = 0.570e-4; OR (95% CI) = 0.892 (0.832, 0.956), p = 0.001; and OR (95% CI) = 0.923(0.892, 0.955), p = 5.301e-6, respectively). CONCLUSIONS: Our meta-analyses demonstrate that all three allele variants of G6PC2 (rs560887, rs16856187 and rs573225) are associated with elevated FG, with two variants (rs560887 in the Caucasians subgroup and rs16856187 under the allele and dominant model) being associated with T2D as well. Further studies utilizing larger sample sizes and different ethnic populations are needed to extend and confirm these findings.

Impaired fasting glucose predicts the development of hypertension over 6years in female adults: Results from the rural Chinese cohort study.

AIMS: To investigate whether impaired fasting glucose (IFG) is an independent risk factor for incident hypertension in a rural Chinese population. METHODS: We selected 9583 eligible participants 18 to 75years old, who were without hypertension and diabetes at baseline (from 2007 to 2008) and were from a rural area in the middle of China. Concentration of fasting glucose at baseline was assessed in quartiles to predict hypertension risk by gender. Odds ratios (ORs) and 95% confidence intervals (CIs) for IFG (fasting glucose of 100 to 125mg/dl) associated with hypertension were estimated by logistic regression models. RESULTS: Risk of hypertension was increased for females with glucose levels in quartile 2 (90-96mg/dl), quartile 3 (96-102mg/dl), and quartile 4 (102-125mg/dl) versus quartile 1 (<90mg/dl): OR=1.27 (95% CI=1.01-1.60), 1.30 (1.04-1.63), and 1.55 (1.24-1.93), respectively. During the 6-year follow-up, the cumulative incidence of hypertension was greater for people with IFG than normal fasting glucose (NFG) at baseline (23.9% vs 18.4%, p<0.001 for males and 23.8% vs 16.4%, p<0.001 for females). Risk of incident hypertension was significantly increased for females with IFG versus NFG (OR=1.23 95% CI=1.05-1.45). CONCLUSIONS: IFG may be an independent risk factor for hypertension in normotensive nondiabetic Chinese females.

Secular trends in the prevalence of type 2 diabetes in adults in China from 1995 to 2014: A meta-analysis.

BACKGROUND: The aim of the present study was to estimate trends in the prevalence of type 2 diabetes mellitus (T2DM) in adults in China. METHODS: A systematic search was conducted for studies of T2DM prevalence in adults in China from 2000 to 2014. Pooled prevalence was calculated by a random-effects model. Subgroup and sensitivity analyses were performed. Chi-squared and Cochran-Mantel-Haenszel tests were used to assess differences among subgroups and pooled prevalence, respectively. RESULTS: Forty-six studies (data from 1995 to 2014; 1 463 079 adults) were included in the meta-analysis. The overall prevalence of T2DM was 7.9 %. The pooled prevalence overall and by location (urban and rural), gender (male and female), and age category (18-39, 40-59, and ≥60 years) was 4.5 %, 5.1 % and 3.0 %, 4.0 % and 4.2 %, and 1.4 %, 5.0 %, and 10.3 %, respectively, from 1995 to 1999; 6.6 %, 9.3 % and 5.6 %, 7.4 % and 7.5 %, and 1.8 %, 5.9 %, and 12.4 %, respectively, from 2000 to 2004; 10.3 %, 11.8 % and 6.8 %, 10.0 % and 8.6 %, and 2.8 %, 10.3 %, and 20.0 %, respectively, from 2005 to 2009; and 8.3 %, 12.5 % and 7.6 %, 8.6 % and 8.0 %, and 3.5 %, 8.5 %, and 15.3 %, respectively, from 2010 to 2014. The prevalence increased from 5.8 % to 11.6 % with per-capita gross domestic product and differed by diagnostic criteria. CONCLUSIONS: There was a trend of increasing prevalence of T2DM in adults in China from 1995 to 2009, with a decrease in 2010-14 and a greater increase over time in urban versus rural areas, males versus females, and older versus younger adults.

Association of resting heart rate and cardiovascular disease mortality in hypertensive and normotensive rural Chinese.

BACKGROUND: Studies have demonstrated an increased risk of cardiovascular disease (CVD)-associated death (CVD death) with increased resting heart rate (RHR); however, whether the association is consistent in rural Chinese with hypertension and normotension is unknown. We examined the association of RHR and CVD death by hypertension and normotension status in rural Chinese people. METHODS: Baseline data for 20,069 participants ≥18 years old were collected during July to August of 2007 and July to August of 2008; 17,151 (85.5%) participants were followed up in July to August of 2013 and July to October of 2014. The association of RHR and CVD death was determined by Cox proportional hazards regression. RESULTS: During a mean of 5.88 years (100,889 person-years) of follow-up, we recorded 479 CVD deaths (309 in hypertensive participants). CVD death increased significantly with increasing RHR, beginning from 80 beats per minute (bpm), for hypertensive and normotensive participants. After adjusting for pulse pressure and other covariates, for hypertensive participants, risk of CVD death was increased with RHR 80-89 and ≥90bpm. However, for normotensive participants, risk of CVD death was increased with only RHR≥90bpm. CONCLUSIONS: Risk of CVD death was associated with elevated RHR for both hypertensive and normotensive rural Chinese, and for hypertensive participants, even slightly elevated RHR was associated with CVD death.