Effects of a 4-year intervention on hand hygiene compliance and incidence of healthcare associated infections: a longitudinal study.

PURPOSE: Studies have demonstrated improvements in hand hygiene (HH) compliance through interventions, noting the negative association of HH and healthcare associated infections (HAIs), but how to sustain long-term improvement is still unknown in the Chinese population. This study sought to determine the extent of change in HH compliance after multimodal HH interventions, and to evaluate the relationship between that change and HAI incidence. METHODS: We conducted a longitudinal study in a general teaching hospital in China from 2017 to 2020. Trained investigators observed HH practices based on the World Health Organization's 5 moments for HH. We identified the incidence of HAIs using semi-automated constant surveillance software. We used the Cochran-Mantel-Haenszel test to assess the secular trend of HH compliance and HAIs. The Spearman correlation coefficient (rs) was used to evaluate the relationship between the incidence of HAIs and compliance with HH. RESULTS: The study made 480,943 observations, where HH was occurring between 2017 and 2020. HH compliance increased from 68.90 to 91.76% during that period (Ptrend < 0.01), while the incidence of HAIs decreased from 1.10 to 0.91%. Compliance also increased for each moment type and for each healthcare worker (Ptrend < 0.01). Lower HH compliance was observed in before-patient contact and after contact with patient surroundings, and among interns and cleaners. We also observed a weak but statistically significant negative correlation between the monthly HH compliance and incidence of HAIs (rs = - 0.27; P = 0.037). CONCLUSIONS: The multimodal HH implementation delivered sustained improvement in HH compliance, and this change was associated with a decline in the incidence of HAIs.

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.

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.

Global prevalence of prediabetes in children and adolescents: A systematic review and meta-analysis.

BACKGROUND: Prediabetes is a pivotal risk factor for developing diabetes. This meta-analysis was performed to assess the global prevalence of childhood prediabetes. METHODS: A systematic search was conducted for studies of prediabetes prevalence in the general pediatric population from inception until December 2021. Random-effects meta-analysis was used to combine the data. Variations in the prevalence estimates in different subgroups (age group, sex, setting, investigation period, body mass index [BMI] group, family history of diabetes, diagnosis criteria, World Health Organization [WHO] and World Bank [WB] regions) were examined by subgroup meta-analysis. RESULTS: A total of 48 studies were included in the meta-analysis. The pooled prevalence was 8.84% (95% CI, 6.74%-10.95%) for prediabetes in childhood. Subgroup meta-analyses showed that the prevalence was higher in males than females (8.98% vs 8.74%, P < .01), in older compared to younger children (7.56% vs. 2.51%, p < 0.01), in urban compared to rural areas (6.78% vs. 2.47, p < 0.01), and higher in children with a family history of diabetes than in those without such a history (7.59% vs. 6.80%, p < 0.01). We observed an upward trend in prediabetes prevalence from 0.93% to 10.66% over past decades (p < 0.01). The pooled prevalence increased from 7.64% to 14.27% with increased BMI (p < 0.01). Pooled prevalence was the lowest for criterion A among different diagnosis criteria (p < 0.01). For WHO and WB regions, the European Region and high-income countries yielded the lowest pooled prevalence (p < 0.01). CONCLUSIONS: Elevated prediabetes prevalence in childhood reaches an alarming level. Intensive lifestyle modification is needed to improve the prediabetes epidemic.

Relationship between age at menarche and risk of glucose metabolism disorder: a systematic review and dose-response meta-analysis.

OBJECTIVE: Studies investigating the impact of age at menarche on glucose metabolism disorder have reached inconsistent conclusions, and a quantitative comprehensive assessment of the dose-response association between age at menarche and glucose metabolism disorder has not been reported. We performed a systematic review and meta-analysis of studies assessing the risk of glucose metabolism disorder by age at menarche. METHODS: MEDLINE via PubMed and EMBASE databases were searched up to March 13, 2019. Restricted cubic splines were used to model the dose-response association. RESULTS: Twenty-five publications (including 34 studies) were included in the meta-analysis. The summary risk ratios (RRs) and 95% confidence limit (CL) per 1-year increase in age at menarche were 0.98 (95% CL 0.98, 0.99) for type 2 diabetes mellitus (T2DM), 0.97 (95% CL 0.96, 0.99) for impaired fasting glucose (IFG), and 0.98 (95% CL 0.97, 0.99) for gestational diabetes mellitus (GDM). We identified linear negative correlations between age at menarche and T2DM (Pnonlinearity = 0.052) and IFG (Pnonlinearity = 0.145), a nonlinear dose-response between age at menarche and GDM (Pnonlinearity = 0.038). CONCLUSIONS: Older age at menarche (range 8-18 years old) is associated with reduced risk of glucose metabolism disorder. The strongest reduction in risk of GDM is observed at menarche age of 14.5 years.

Dose-response association of resting heart rate and hypertension in adults: A systematic review and meta-analysis of cohort studies.

BACKGROUND: The association of resting heart rate (RHR) and hypertension in adults is unclear. We aimed to perform a meta-analysis of cohort studies to clarify the association. METHODS: We searched PubMed and Embase from their inception to November 3, 2017, for published articles. We used a random effects model to combine study-specific relative risks (RRs) and 95% confidence intervals (CIs). We used restricted cubic spline functions to assess the dose-response relationship. RESULTS: Nine cohort articles (12 independent studies) with 79,399 individuals and more than 26,380 incident cases of hypertension were included. The summary RR for hypertension was 1.09 (95% CI: 1.06-1.13) with each 10 bpm increment in RHR. The cubic spline model suggested that when compared with 55.5 beats per minute, the risk of hypertension significantly increased with increasing levels of RHR (Pnonlinearity = 0.059). CONCLUSION: We found a linear dose-response association between RHR and incident hypertension in adults.

Dose-response association of operative time and surgical site infection in neurosurgery patients: A systematic review and meta-analysis.

BACKGROUND: The association of operative time and surgical site infection (SSI) in neurosurgery patients is unclear. We therefore, through a systematic review and meta-analysis, sought to clarify the association. METHODS: We performed a systematic search of the PubMed and Embase databases, from January 1, 1966, to December 26, 2018, for published articles. We used random effects generalized least squares regression models to combine study-specific relative risks (RR) and 95% confidence intervals (CI), and performed a sensitivity analysis by excluding 1 study at a time to assess the stability of results and potential sources of heterogeneity. We used the Egger (from plotting to test) to assess publication bias. RESULTS: A total of 5 articles, with 231,915 individuals and 6,726 SSI cases, were included. The summary RR for SSI after craniotomy were 1.67 (95% CI, 1.13-2.20), with high versus low operative time, and 1.34 (95% CI, 1.15-1.53), with each 1-hour increase in operative time. On sensitivity analysis, no individual study had an excessive influence on the pooled effect. We found no evidence of publication bias by the Egger test (P = .464) and Egger's plotting. CONCLUSIONS: Prolonged operative time can increase the SSI risk for neurosurgery patients. Intensive interventions should be taken to decrease operative duration.

Risk of type 2 diabetes mellitus associated with plasma lipid levels: The rural Chinese cohort study.

AIM: To investigate the association of type 2 diabetes mellitus (T2DM) risk and plasma lipid levels in rural Chinese. METHODS: Each lipid variable was divided into quartiles and dichotomized by clinical cutoff points. Cox proportional-hazards model was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the association of T2DM risk and plasma lipid levels and explore the interaction between plasma lipid levels and other risk factors. RESULTS: 11,929 participants were included in the analysis. We documented 720 incident cases of T2DM over 70,720.84 person-years of follow-up, for an incidence of 10.18/1,000 person-years. In the multivariable-adjusted model, risk of T2DM was increased with the highest versus lowest quartiles of total cholesterol (TC) and triglycerides (TG) levels and TC/high-density lipoprotein-cholesterol (HDL-C) and TG/HDL-C ratios. The HRs (95% CIs) for the fourth quartiles, for example, were 1.34 (1.03-1.74), 2.32 (1.73-3.13), 1.66 (1.23-2.25), and 1.84 (1.38-2.45), respectively. In addition, risk of T2DM was increased with high TG level and TC/HDL-C and TG/HDL-C ratios by clinical cutoffs. The HRs (95% CIs) were 1.50 (1.25-1.80), 1.24 (1.03-1.48), and 1.44 (1.18-1.75), respectively. Risk of T2DM was associated with interactions between all lipid variables and age and BMI. TG level and TG/HDL-C ratio additionally interacted with gender (all Pinteraction < 0.0001). CONCLUSIONS: Risk of T2DM was increased with elevated serum levels of TC and TG and TC/HDL-C and TG/HDL-C ratios and also with interactions between high TC and TG levels and TC/HDL-C and TG/HDL-C ratios and age and BMI in a rural Chinese population.

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.

Association of hypertension with parity and with the interaction between parity and body mass index in rural Chinese women.

A cross-sectional study was conducted; information for 9247 women living in rural China was collected by questionnaire interview and anthropometric and laboratory measurements during July to August 2013 and July to October 2014. Multiple logistic regression analysis was used to examine the association between parity and hypertension, estimating odds ratios and 95% confidence intervals (CIs). The biological interaction between parity and body mass index was estimated by the relative excess risk due to interaction, attributable proportion due to the interaction, and synergy index. In our study, the prevalence of multiparity and hypertension was 93.10% and 22.90% in premenopausal women and 98.04% and 51.06% in postmenopausal women, respectively. For premenopausal women, parity hypertension was not associated with hypertension. And for postmenopausal women, as compared with para 0-1 status, para 2, 3, 4, and ≥ 5 were positively associated with hypertension: adjusted odds ratios (95% CI) was 2.04 (1.24-3.38), 2.25 (1.32-3.82), 2.41 (1.34-4.36), and 2.10 (1.04-4.22), respectively. The interaction effect between multiparity and overweight/obesity on hypertension was additive (relative excess risk due to interaction [95% CI]: 1.59, 0.19-3.00; attributable proportion due to the interaction [95% CI]: 0.34, 0.02-0.67) only in postmenopausal women. Parity was independently related to hypertension, and the interaction effect between multiparity and overweight/obesity on hypertension was additive in rural postmenopausal women.

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.

Sleep Duration Interacts With Lifestyle Risk Factors and Health Status to Alter Risk of All-Cause Mortality: The Rural Chinese Cohort Study.

STUDY OBJECTIVES: Many studies suggest an association of both short and long sleep duration with all-cause mortality, but the effect of co-occurrence of sleep duration and other lifestyle risk factors or health status remains unclear. METHODS: A total of 17,184 participants aged 18 years or older from rural areas of China were examined at baseline from 2007 to 2008 and followed up from 2013 to 2014. Cox proportional hazard models were used to estimate the hazard ratio (HR) and 95% confidence interval (CI). RESULTS: During 6-year follow-up, we identified 1,101 deaths. The multivariable-adjusted mortality risk was significantly higher with short-duration sleepers (< 6.5 hours) (HR = 1.37, 95% CI 1.01-1.86) and long-duration sleepers (≥ 9.5 hours) (HR = 1.35, 95% CI 1.05-1.74) versus 6.5-7.5 hours. The multiplicative interaction of long sleep duration with some lifestyle risk factors and health statuses increased the mortality risk in men (low level of physical activity: HR = 1.03, 95% CI 1.02-1.04; hypertension: HR = 1.06, 95% CI 1.04-1.09; type 2 diabetes mellitus [T2DM]: HR = 1.07, 95% CI 1.04-1.11). Similar results were found in women (low level of physical activity: HR = 1.03, 95% CI 1.02-1.05; T2DM: HR = 1.07, 95% CI 1.05-1.10). CONCLUSIONS: Sleep duration could be a predictor of all-cause mortality and its interaction with physical activity, hypertension, and T2DM may increase the risk of mortality.

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.

Resting heart rate and risk of metabolic syndrome in adults: a dose-response meta-analysis of observational studies.

The magnitude of the risk of metabolic syndrome (MetS) with increased resting heart rate (RHR) has been inconsistently reported in some observational studies, and whether a dose-response relationship exists between RHR and MetS is unclear. We performed a meta-analysis including dose-response analysis to quantitatively evaluate this association in adults. We searched PubMed, Web of Knowledge, China National Knowledge Infrastructure, and WanFang databases for articles published up to April 2, 2016. A random-effects model was used to pool relative risks (RRs) and 95% confidence intervals (CIs); restricted cubic spline function was used to assess the dose-response relationship. Seven prospective cohort studies and 10 cross-sectional studies with a total of 169,786 participants were included. The pooled RR was 2.10 (95% CI 1.80-2.46, I 2 = 79.8%, n = 13) for the highest versus reference RHR category and 1.28 (95% CI 1.23-1.34, I 2 = 87.7%, n = 15) for each 10 beats per minute (bpm) increment in RHR. We found no evidence of a nonlinear dose-response association between RHR and MetS (P nonlinearity = 0.201). The relationship was consistent in most subgroup analyses and robust on sensitivity analysis. No significant publication bias was observed. This meta-analysis suggests that risk of MetS may be increased with elevated RHR.

Dose-Response Association Between Physical Activity and Incident Hypertension: A Systematic Review and Meta-Analysis of Cohort Studies.

Despite the inverse association between physical activity (PA) and incident hypertension, a comprehensive assessment of the quantitative dose-response association between PA and hypertension has not been reported. We performed a meta-analysis, including dose-response analysis, to quantitatively evaluate this association. We searched PubMed and Embase databases for articles published up to November 1, 2016. Random effects generalized least squares regression models were used to assess the quantitative association between PA and hypertension risk across studies. Restricted cubic splines were used to model the dose-response association. We identified 22 articles (29 studies) investigating the risk of hypertension with leisure-time PA or total PA, including 330 222 individuals and 67 698 incident cases of hypertension. The risk of hypertension was reduced by 6% (relative risk, 0.94; 95% confidence interval, 0.92-0.96) with each 10 metabolic equivalent of task h/wk increment of leisure-time PA. We found no evidence of a nonlinear dose-response association of PA and hypertension (Pnonlinearity=0.094 for leisure-time PA and 0.771 for total PA). With the linear cubic spline model, when compared with inactive individuals, for those who met the guidelines recommended minimum level of moderate PA (10 metabolic equivalent of task h/wk), the risk of hypertension was reduced by 6% (relative risk, 0.94; 95% confidence interval, 0.92-0.97). This meta-analysis suggests that additional benefits for hypertension prevention occur as the amount of PA increases.