Association between ideal cardiovascular health and abnormal glucose metabolism in the elderly: evidence based on real-world data.

BACKGROUND: Limited information is available on the effect of ideal cardiovascular health (CVH) and abnormal glucose metabolism in elderly people. We aimed to analyze the prevalence of CVH behaviors, abnormal glucose metabolism, and their correlation in 65 and older people. METHODS: In this study, randomized cluster sampling, multivariate logistic regression, and mediating effects analysis were used. Recruiting was carried out between January 2020 and December 2020, and 1984 participants aged 65 years or older completed the study. RESULTS: The prevalence of abnormal glucose metabolism in this group was 26.7% (n = 529), among which the prevalence of impaired fasting glucose (IFG) was 9.5% (male vs. female: 8.7% vs 10.1%, P = 0.338), and the prevalence of type 2 diabetes mellitus (T2DM) was 19.0% (male vs. female: 17.8 vs. 19.8%, P = 0.256). The ideal CVH rate (number of ideal CVH metrics ≥ 5) was only 21.0%. The risk of IFG and T2DM decreased by 23% and 20% with each increase in one ideal CVH metrics, with OR (95%CI) of 0.77(0.65-0.92) and 0.80(0.71-0.90), respectively (P -trend < 0.001). TyG fully mediated the ideal CVH and the incidence of T2DM, and its mediating effect OR (95%CI) was 0.88(0.84-0.91). CONCLUSIONS: Each increase in an ideal CVH measure may effectively reduce the risk of abnormal glucose metabolism by more than 20%.

BMI and risk of all-cause mortality in normotensive and hypertensive adults: the rural Chinese cohort study.

OBJECTIVE: The impact of baseline hypertension status on the BMI-mortality association is still unclear. We aimed to examine the moderation effect of hypertension on the BMI-mortality association using a rural Chinese cohort. DESIGN: In this cohort study, we investigated the incident of mortality according to different BMI categories by hypertension status. SETTING: Longitudinal population-based cohort. PARTICIPANTS: 17 262 adults ≥18 years were recruited from July to August of 2013 and July to August of 2014 from a rural area in China. RESULTS: During a median 6-year follow-up, we recorded 1109 deaths (610 with and 499 without hypertension). In adjusted models, as compared with BMI 22-24 kg/m2, with BMI ≤ 18, 18-20, 20-22, 24-26, 26-28, 28-30 and >30 kg/m2, the hazard ratios for mortality in normotensive participants were 1·92 (95% CI 1·23, 3·00), 1·44 (95% CI 1·01, 2·05), 1·14 (95% CI 0·82, 1·58), 0·96 (95% CI 0·70, 1·31), 0·96 (95% CI 0·65, 1·43), 1·32 (95% CI 0·81, 2·14) and 1·32 (95% CI 0·74, 2·35), respectively, and in hypertensive participants were 1·85 (95% CI 1·08, 3·17), 1·67 (95% CI 1·17, 2·39), 1·29 (95% CI 0·95, 1·75), 1·20 (95% CI 0·91, 1·58), 1·10 (95% CI 0·83, 1·46), 1·10 (95% CI 0·80, 1·52) and 0·61 (95% CI 0·40, 0·94), respectively. The risk of mortality was lower in individuals with hypertension with overweight or obesity v. normal weight, especially in older hypertensives (≥60 years old). Sensitivity analyses gave consistent results for both normotensive and hypertensive participants. CONCLUSIONS: Low BMI was significantly associated with increased risk of all-cause mortality regardless of hypertension status in rural Chinese adults, but high BMI decreased the mortality risk among individuals with hypertension, especially in older hypertensives.

Dose-response association between adult height and all-cause mortality: a systematic review and meta-analysis of cohort studies.

BACKGROUND: We conducted a systematic review and meta-analysis from published cohort studies to examine the association of adult height and all-cause mortality and to further explore the dose-response association. METHODS: PubMed, The Cochrane Library, The Ovid, CNKI, CQVIP and Wanfang databases were searched for articles published from database inception to 6 February 2018. We used the DerSimonian-Laird random-effects model to estimate the quantitative association between adult height and all-cause mortality and the restricted cubic splines to model the dose-response association. RESULTS: We included 15 articles, with 1 533 438 death events and 2 854 543 study participants. For each 5-cm height increase below the average, the risk of all-cause mortality was reduced by 7% [relative risk (RR) = 0.93, 95% confidence interval (CI), 0.89-0.97] for men and 5% (RR = 0.95, 95% CI, 0.90-0.99) for women. All-cause mortality had a U-shaped association with adult height, the lowest risk occurring at 174 cm for men and 158 cm for women (both Pnonlinearity < 0.001). Relative to the shortest adult height (147 cm for men and 137 cm for women), men at 174 cm had a 47% lower likelihood of all-cause mortality and women at 158 cm a 33% lower risk of all-cause mortality. CONCLUSIONS: Our study suggests that the relation between adult height and all-cause mortality is approximately U-shaped in both men and women.

Association of total sedentary behaviour and television viewing with risk of overweight/obesity, type 2 diabetes and hypertension: A dose-response meta-analysis.

AIMS: To explore the quantitative dose-response association of total sedentary behaviour and television viewing with overweight/obesity, type 2 diabetes and hypertension in a meta-analysis. MATERIALS AND METHODS: We searched three databases to identify English-language reports that assessed the association of total sedentary behaviour or television viewing with the aforementioned health outcomes. Restricted cubic splines were used to evaluate possible linear or non-linear associations of total sedentary behaviour and television viewing with these health outcomes. RESULTS: We included 48 articles (58 studies) with a total of 1 071 967 participants in the meta-analysis; 21 (six cohort and 15 cross-sectional) studies examined the association of total sedentary behaviour with overweight/obesity, 23 (13 cohort and 10 cross-sectional) studies examined the association with type 2 diabetes and 14 (one cohort and 13 cross-sectional) studies examined the association with hypertension. We found linear associations between total sedentary behaviour and type 2 diabetes (Pnon-linearity = 0.190) and hypertension (Pnon-linearity = 0.225) and a non-linear association between total sedentary behaviour and overweight/obesity (Pnon-linearity = 0.003). For each 1-h/d increase in total sedentary behaviour, the risk increased by 5% for type 2 diabetes and 4% for hypertension. We also found linear associations between television viewing and type 2 diabetes (Pnon-linearity = 0.948) and hypertension (Pnon-linearity = 0.679) and a non-linear association for overweight/obesity (Pnon-linearity = 0.007). For each 1-h/d increase in television viewing, the risk increased by 8% for type 2 diabetes and 6% for hypertension. CONCLUSIONS: High levels of total sedentary behaviour and television viewing were associated with overweight/obesity, type 2 diabetes and hypertension.

Race- and sex-specific association between alcohol consumption and hypertension in 22 cohort studies: A systematic review and meta-analysis.

BACKGROUND AND AIMS: The alcohol-hypertension relation has been well documented, but whether women have protective effect or race and type of beverage consumed affect the association remain unclear. To quantify the relation between total or beverage-specific alcohol consumption and incident hypertension by considering the effect of sex and race. METHODS AND RESULTS: Articles were identified in PubMed and Embase databases with no restriction on publication date. Pooled relative risks (RRs) and 95% confidence intervals (CIs) were calculated by random effects models. Restricted cubic splines were used to model the dose-response association. This study involved 22 articles (31 studies) and included 414,477 participants. The hypertension risk was different among liquor, wine, and beer at 5.1-10 g/d of ethanol consumption (P-across subgroups = 0.002). The hypertension risk differed between men (RR: 1.14, 95% CI: 1.07, 1.20) and women (RR: 0.98, 95% CI: 0.89, 1.06) at 10 g/d (P-across subgroups = 0.005). We found a linear alcohol-hypertension association among white (P-linearity = 0.017), black people (P-linearity = 0.035), and Asians (P-linearity<0.001). With 10 g/d increment of consumption, the RRs for hypertension were 1.06 (95% CI: 1.04, 1.08), 1.14 (95% CI: 1.01, 1.28), and 1.06 (95% CI: 1.01, 1.10) for Asians, black, and white people, respectively. CONCLUSION: Sex modifies the alcohol-hypertension association at low level of alcohol consumption and we did not find evidence of a protective effect of alcohol consumption among women. Black people may have higher hypertension risk than Asians and white people at the same ethanol consumption.

Association of weight-adjusted-waist index with incident hypertension: The Rural Chinese Cohort Study.

AIMS: To explore the association between WWI and the incidence of HTN in the Rural Chinese Cohort Study. METHODS AND RESULTS: We examined data for 10,338 non-hypertensive participants (39.49% men) aged ≥ 18 years from the Rural Chinese Cohort Study who completed a baseline examination during 2007-2008 and follow-up during 2013-2014. WWI was calculated as waist circumference (cm) divided by the square root of weight (kg). Multiple logistic regression models were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the probability of HTN across four WWI categories. Restricted cubic splines analysis was used to model the dose-response association of WWI and HTN. A total of 2078 participants had HTN during a median follow-up of 6 years. After adjusting for potential confounders, as compared with the lowest WWI category (<9.94 cm/√kg), with WWI 9.94 to 10.42, 10.42 to 10.91 and ≥ 10.91 cm/√kg, the ORs (95% CIs) for HTN were 1.12 (0.93-1.35), 1.40 (1.17-1.69) and 1.50 (1.24-1.82), respectively. Results of the sensitivity analyses were robust. The ORs were generally consistent on subgroup analysis by sex, smoking status, systolic blood pressure and diastolic blood pressure. Multiple logistic regression models with restricted cubic splines showed a non-linear positive association between WWI and HTN (Pnonlinearity < 0.001). CONCLUSION: The highest WWI category was significantly associated with increased risk of HTN. Our findings may facilitate the development and promotion of obesity prevention strategies aimed at reducing the risk of HTN and provide evidence for healthcare policy in rural China.

Sex-Specific Association of Blood Pressure Categories With All-Cause Mortality: The Rural Chinese Cohort Study.

INTRODUCTION: The relationship between blood pressure categories and all-cause mortality has not been fully addressed in cohort studies, especially in the general Chinese population. Our study aimed to assess the sex-specific association of systolic blood pressure (SBP), diastolic blood pressure (DBP), and 2017 United States hypertension guidelines with all-cause mortality in China. METHODS: We conducted a prospective study of 13,760 rural Chinese adults aged 18 or older (41.1% men). Mean age overall was 49.4, 51.0 for men, and 48.3 for women. We analyzed the blood pressure-mortality relationship by using restricted cubic splines and Cox proportional-hazards regression analysis, estimating hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS: During a mean follow-up of 5.95 years, 710 people died (60.3% men) from any cause. We found a U-shaped SBP-mortality or DBP-mortality relationship for both sexes. Mortality risk was increased for men with SBP 120-139 mm Hg (adjusted HR [aHR], 1.42; 95% CI, 1.10-1.82) or ≥140 mm Hg (aHR, 2.05; 95% CI, 1.54-2.72), and for DBP ≥90 mm Hg (aHR, 1.53; 95% CI, 1.10-2.13) as compared with SBP 100-119 mm Hg or DBP 70-79 mm Hg. Mortality risk also was increased for men with blood pressure status defined according to 2017 US hypertension guidelines as elevated, SBP 120-129 and DBP >80 mm Hg (aHR 1.48; 95% CI,1.11-1.98); stage 1 hypertension, SBP/DBP 130-139/80-89 mm Hg (aHR 1.53; CI, 1.19-1.97); and stage 2 hypertension, SBP/DBP ≥140/90 mm Hg (aHR 1.83; CI, 1.33-2.51). No significant relationship was observed for women. CONCLUSION: Elevated blood pressure and stages 1 and 2 hypertension were positively associated with all-cause mortality for men but not women in rural China.

Dietary iron intake and risk of death due to cardiovascular diseases: A systematic review and dose-response meta-analysis of prospective cohort studies.

BACKGROUND AND OBJECTIVES: Many studies have investigated the association between dietary iron intake and death due to cardiovascular disease (CVD), but the results were inconsistent. We performed a dose-response meta- analysis to quantitatively assess the risk of CVD mortality with dietary intake of iron (total iron, heme iron, and non-heme iron). METHODS AND STUDY DESIGN: PubMed and Embase databases were searched for articles published up to February 21, 2019. Prospective cohort studies were included if reporting relative risks (RRs) and 95% confidence intervals (CIs) for risk of CVD mortality associated with dietary iron intake. Restricted cubic splines were used to model the dose-response association. RESULTS: We included eight articles (19 studies including 720,427 participants [46,045 deaths due to CVD]) in the meta-analysis. When comparing the highest versus lowest level of dietary heme iron intake, the pooled RR for CVD mortality was 1.19 (95% CI, 1.01-1.39). With a 1-mg/day increase in dietary heme iron intake, the pooled RR for death due to CVD, stroke, coronary heart disease, and myocardial infarction were 1.25 (95% CI, 1.17-1.33), 1.17 (1.04-1.32), 1.25 (0.70-2.22), and 1.17 (0.55-2.50) respectively. The association between dietary iron intake and CVD mortality was linear (pnonlinearity> 0.05). CONCLUSIONS: Higher dietary intake of heme iron was associated with a greater risk of CVD mortality. Reducing consumption of heme iron may help to prevent premature death due to CVD.

The association between fasting plasma glucose and all-cause and cause-specific mortality by gender: The rural Chinese cohort study.

BACKGROUND: To evaluate the association between fasting plasma glucose (FPG) and mortality by gender. METHODS: A total of 17 248 eligible participants from a rural Chinese prospective cohort population were included. The same questionnaire interview and anthropometric and laboratory measurements were performed at both baseline (2007-2008) and follow-up (2013-2014). Participants were classified according to baseline FPG and diabetic status by sex. Restricted cubic splines and Cox proportional-hazards regression models, estimating hazard ratio (HR) and 95% confidence interval (CI), were used to assess the FPG-mortality relation. RESULTS: During the 6-year follow-up, 618 men and 489 women died. The FPG-mortality relation was J shaped for both sexes. For men, risk of all-cause and noncardiovascular disease (CVD)/noncancer mortality was greater with low fasting glucose (LFG) than with normal fasting glucose (adjusted HR [aHR] 1.60; 95% CI, 1.05-2.43; and aHR 2.16; 95% CI, 1.15-4.05). Men with diabetes mellitus (DM) showed increased risk of all-cause (aHR 2.04; 95% CI, 1.60-2.60), CVD (aHR 1.98; 95% CI, 1.36-2.89), and non-CVD/noncancer mortality (aHR 2.62; 95% CI, 1.76-3.91). Men with impaired fasting glucose (IFG) had borderline risk of CVD mortality (aHR 1.34; 95% CI, 1.00-1.79). Women with LFG had increased risk of non-CVD/noncancer mortality (aHR 2.27; 95% CI, 1.04-4.95), and women with DM had increased risk of all-cause (aHR 1.73; 95% CI, 1.35-2.23), CVD (aHR 1.76; 95% CI, 1.24-2.50), and non-CVD/noncancer mortality (aHR 1.97; 95% CI, 1.27-3.08). CONCLUSIONS: LFG is positively associated with all-cause mortality risk in rural Chinese men but not in women.

Adult height and risk of death from all-cause, cardiovascular, and cancer-specific disease: The Rural Chinese Cohort Study.

BACKGROUND AND AIMS: We aimed to evaluate the sex-specific association of height and all-cause and cause-specific mortality in rural Chinese adults. METHODS AND RESULTS: A total of 17,263 participants (10,448 women) ≥18 years old were randomly enrolled during 2007-2008 and followed up during 2013-2014. Sex-specific hazard ratios (HRs) for the height-mortality association, assessed in quintiles or 5 cm increments, were calculated by Cox proportional-hazards models. For both men and women, tall participants showed a baseline prevalence of high levels of socioeconomic factors including income and education but low systolic blood pressure and total cholesterol level. During a median of 6.01 years of follow-up, 620 men (in 39,993.45 person-years) and 490 women (in 61,590.10 person-years) died. With increasing height, the risk of all-cause mortality decreased in a curvilinear trend after adjustment for baseline age, socioeconomic and behavioral factors, and anthropometric and laboratory measurements. For men, height was inversely associated with all-cause mortality (HR per 5 cm increase: 0.89, 95% CI: 0.83-0.96) and cardiovascular mortality (HR per 5 cm increase: 0.81, 95% CI: 0.72-0.91). For women, height was inversely associated with all-cause mortality (HR per 5 cm increase: 0.88, 95% CI: 0.81-0.96) and other mortality (HR per 5 cm increase: 0.82, 95% CI: 0.71-0.96). CONCLUSIONS: Our study demonstrated a sex-specific inverse effect of height on mortality from different major causes in rural Chinese adults.

Prevalence and relationship of hypertriglyceridaemic-waist phenotype and type 2 diabetes mellitus among a rural adult Chinese population.

OBJECTIVE: Limited information is available on the prevalence and effect of hypertriglyceridaemic-waist (HTGW) phenotype on the risk of type 2 diabetes mellitus (T2DM) in rural populations. DESIGN: In the present cross-sectional study, we investigated the prevalence of the HTGW phenotype and T2DM and the strength of their association among rural adults in China. SETTING: HTGW was defined as TAG >1·7 mmol/l and waist circumference (WC) ≥90 cm for males and ≥80 cm for females. Logistic regression analysis yielded adjusted odds ratios (aOR) relating risk of T2DM with HTGW.ParticipantsAdults (n 12 345) aged 22·83-92·58 years were recruited from July to August of 2013 and July to August of 2014 from a rural area of Henan Province in China. RESULTS: The prevalence of HTGW and T2DM was 23·71 % (males: 15·35 %; females: 28·88 %) and 11·79 % (males: 11·15 %; females: 12·18 %), respectively. After adjustment for sex, age, smoking, alcohol drinking, blood pressure, physical activity and diabetic family history, the risk of T2DM (aOR; 95 % CI) was increased with HTGW (v. normal TAG and WC: 3·23; CI 2·53, 4·13; males: 3·37; 2·30, 4·92; females: 3·41; 2·39, 4·85). The risk of T2DM with BMI≥28·0 kg/m2, simple enlarged WC and simple disorders of lipid metabolism showed an increasing tendency (aOR=1·31, 1·75 and 2·32). CONCLUSIONS: The prevalence of HTGW and T2DM has reached an alarming level among rural Chinese people, and HTGW is a significant risk factor for T2DM.

[Analysis and Improvement Suggestions on Change of Medical Devices Licensing Items].

Based on the statistics of 350 technical evaluations of changes in licensing items of class Ⅱ passive and active medical devices completed in Henan province from July 2017 to November 2018, this paper summarized and analysed the common problems and requirements listed in the correction notifications of the technical evaluation, and put forward relevant countermeasures or suggestions, with a view to further speeding up the evaluation and approval of medical devices.

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.

Identification of an obesity index for predicting metabolic syndrome by gender: the rural Chinese cohort study.

BACKGROUND: To compare the accuracy of different obesity indexes, including waist circumference (WC), weight-to-height ratio (WHtR), body mass index (BMI), and lipid accumulation product (LAP), in predicting metabolic syndrome (MetS) and to estimate the optimal cutoffs of these indexes in a rural Chinese adult population. METHODS: This prospective cohort involved 8468 participants who were followed up for 6 years. MetS was defined by the International Diabetes Federation, American Heart Association, and National Heart, Lung, and Blood Institute criteria. The power of the 4 indexes for predicting MetS was estimated by receiver operating characteristic (ROC) curve analysis and optimal cutoffs were determined by the maximum of Youden's index. RESULTS: As compared with WHtR, BMI, and LAP, WC had the largest area under the ROC curve (AUC) for predicting MetS after adjusting for age, smoking, drinking, physical activity, and education level. The AUCs (95% CIs) for WC, WHtR, BMI, and LAP for men and women were 0.862 (0.851-0.873) and 0.806 (0.794-0.817), 0.832 (0.820-0.843) and 0.789 (0.777-0.801), 0.824 (0.812-0.835) and 0.790 (0.778-0.802), and 0.798 (0.785-0.810) and 0.771 (0.759-0.784), respectively. The optimal cutoffs of WC for men and women were 83.30 and 76.80 cm. Those of WHtR, BMI, and LAP were approximately 0.51 and 0.50, 23.90 and 23.00 kg/m2, and 19.23 and 20.48 cm.mmol/L, respectively. CONCLUSIONS: WC as a preferred index over WHtR, BMI, and LAP for predicting MetS in rural Chinese adults of both genders; the optimal cutoffs for men and women were 83.30 and 76.80 cm.

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.

Starmerella anomalae f.a., sp. nov., Starmerella asiatica f.a., sp. nov., Starmerella henanensis f.a., sp. nov. and Starmerella scarabaei f.a., sp. nov., four yeast species isolated from scarab beetles.

Eleven yeast strains representing four novel species of the genus Starmerella were isolated from scarabs beetles collected in Nanyang, Henan Province, Central China. Phylogenetic analysis using combined sequences of the D1/D2 domains of the large subunit (LSU) rRNA gene and the internal transcribed spacer (ITS) regions placed all the novel species in a clade distinct from the other known species in the clade representing the members of the genus Starmerella. These novel species differed from each other or their closest known species by more than 4.9 % nucleotide substitutions in the D1/D2 domains and by more than 9.1 % nucleotide substitutions in the ITS regions. The four novel species can also be separated from their closest relatives in terms of physiological characteristics. No asci or signs of conjugation were found in the novel species on the most common sporulation media. The novel species are designated as Starmerella anomalae f.a., sp. nov. (type strain NYNU 157145T=CICC 33094T=CBS 14178T), Starmerella asiatica f.a., sp. nov. (type strain NYNU 15782T=CICC 33089T=CBS 14173T), Starmerella henanensis f.a., sp. nov. (type strain NYNU 15766T=CICC 33088T=CBS 14172T) and Starmerella scarabaei f.a., sp. nov. (type strain NYNU 15821T=CICC 33090T=CBS 14174T).

Prediction of a new body shape index and body adiposity estimator for development of type 2 diabetes mellitus: The Rural Chinese Cohort Study.

To compare the ability of a body shape index (ABSI) and body adiposity estimator (BAE) to BMI, waist circumference (WC) and waist:height ratio (WHtR) for predicting development of type 2 diabetes mellitus (T2DM) in rural adult Chinese. The prospective cohort study included 11 687 eligible participants who were free of T2DM at baseline. The risk of new-onset T2DM for ABSI, BAE, BMI, WC and WHtR quintiles was estimated by Cox proportional-hazards regression at follow-up. We also compared the power of ABSI and BAE to BMI, WC and WHtR for predicting the development of T2DM. With increasing ABSI, BAE, BMI, WC and WHtR, T2DM incidence was substantially increased (P trend<0·0001). After adjustment for multi-covariates, risk of T2DM was increased from the second to fifth quintile as compared with first quintile for ABSI (1·27; 95 % CI 0·95, 1·69; 1·35; 95 % CI 1·00, 1·82; 1·75; 95 % CI 1·33, 2·32 and 1·87; 95 % CI 1·40, 2·49; P trend<0·0001); BAE (1·82; 95 % CI 1·38, 2·41; 1·93; 95 % CI 1·38, 2·68; 2·73; 95 % CI 1·94, 3·84 and 4·18; 95 % CI 2·98, 5·87; P trend<0·0001); BMI (1·42; 95 % CI 1·03, 1·97; 1·62; 95 % CI 1·18, 2·23; 2·59; 95 % CI 1·92, 3·50 and 3·90; 95 % CI 2·90, 5·26; P trend<0·0001); WC (1·53; 95 % CI 1·08, 2·17; 1·66; 95 % CI 1·18, 2·33; 2·72; 1·97, 3·76 and 4·09; 95 % CI 2·97, 5·62; P trend<0·0001); and WHtR (1·40; 95 % CI 0·98, 1·99; 2·06; 95 % CI 1·47, 2·88; 2·90; 95 % CI 2·10, 4·01 and 4·22; 95 % CI 3·05, 5·85; P trend<0·0001). ABSI, BAE, BMI, WC and WHR were effective and comparable in discriminating cases from non-cases of T2DM. Risk of T2DM was increased with elevated ABSI and BAE, but the predictive ability for T2DM did not differ than that of BMI, WC and WHtR in a rural 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.