Overweight, resting heart rate, and prediabetes/diabetes: A population-based prospective cohort study among Inner Mongolians in China.
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ABSTRACT:
SUBMITTER: Zhang SY
PROVIDER: S-EPMC4814924 | biostudies-other | 2016 Mar
REPOSITORIES: biostudies-other
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Project description:BACKGROUND:Positive association between resting heart rate (RHR) and risk of type 2 diabetes (T2D) has been documented in several studies. However, whether RHR is an independent predictor of T2D and its potential interaction with other risk factors of T2D remain unclear. METHODS:We conducted a prospective cohort study of 31?156 men from the Health Professionals Follow-up Study (1992-2012). Cox proportional hazard model was used to examine the association between RHR and T2D risk. We further examined whether this association is modified by known risk factors. Lastly, we conducted a meta-analysis of prospective cohort studies. RESULTS:During 505 380 person-years of follow-up, we identified 2338 incident T2D cases. The multivariable-adjusted hazard ratio (HR) comparing the highest vs lowest categories of RHR was 1.69 (95% confidence interval [CI], 1.43-2.01). Increase in 10 bpm of RHR was associated with 19% increased risk of T2D in the fully adjusted model (HR, 1.19; 95% CI, 1.14-1.24). The HRs of T2D associated with RHR were stronger among those with normal weight or without hypertension (P interaction < 0.001). Moreover, RHR with other known risk factors cumulatively increased T2D risk. A meta-analysis consistently showed a positive association between RHR and T2D risk (the summary relative risk [RR] for highest vs lowest RHR, 1.53; 95% CI, 1.26-1.86, n = 12, the summary RR per 10 bpm increase, 1.17; 95% CI, 1.09-1.26, n = 13). CONCLUSIONS:High RHR was independently associated with increased risk of T2D. Our findings suggest that RHR, with other known risk factors, could be a useful tool to predict T2D risk.
| S-EPMC6398339 | biostudies-literature
Project description:BackgroundThe relationship between resting heart rate (RHR) and incident heart failure (HF) has been questioned.Methods and resultsRHR was assessed at baseline in 7073 participants in 3 prospective cohorts (Cardiovascular Health Study, Health ABC study and Kuopio Ischemic Heart Disease Study) that recorded 1189 incident HF outcomes during 92 702 person-years of follow-up. Mean age of participants was 67 (9.9) years and mean RHR was 64.6 (11.1) bpm. Baseline RHR correlated (P<0.001) positively with body mass index (r=0.10), fasting glucose (r=0.18), and C-reactive protein (r=0.20); and inversely with serum creatinine (r=-0.05) and albumin (r=-0.05). Baseline RHR was non-linearly associated with HF risk. The age and sex-adjusted hazard ratio for HF comparing the top (>72 bpm) versus the bottom (<57 bpm) quartile of baseline RHR was 1.48 (95% confidence interval [CI] 1.26 to 1.74) and was modestly attenuated (1.30, 95% CI 1.10 to 1.53) with further adjustment for body mass index, history of diabetes, hypertension, smoking status, serum creatinine, and left ventricular hypertrophy. These findings remained consistent in analyses accounting for incident coronary heart disease, excluding individuals with prior cardiovascular events, or those taking beta-blockers; and in subgroups defined by several individual participant characteristics. In a pooled random effects meta-analysis of 7 population-based studies (43 051 participants and 3476 HF events), the overall hazard ratio comparing top versus bottom fourth of RHR was 1.40 (95% CI: 1.19 to 1.64).ConclusionsThere is a non-linear association between RHR and incident HF. Further research is needed to understand the physiologic foundations of this association.
| S-EPMC4330063 | biostudies-literature
Project description:ObjectiveTo evaluate resting heart rate as an independent predictor of cardiovascular risk in women.DesignProspective cohort study.SettingThe Women's Health Initiative was undertaken at 40 research clinics in the United States.Participants129 135 postmenopausal women.Main outcome measureClinical cardiovascular events.ResultsDuring a mean of 7.8 (SD 1.6) years of follow up, 2281 women were identified with myocardial infarction or coronary death and 1877 with stroke. We evaluated associations between resting heart rate and cardiovascular events in Cox regression models adjusted for multiple covariates. Higher resting heart rate was independently associated with coronary events (hazard ratio 1.26, 95% confidence interval 1.11 to 1.42 for highest [>76 beats per minute] v lowest quintile [<or=62 beats per minute]; P=0.001), but not with stroke. The relation between heart rate and coronary events did not differ between white women and women from other ethnic groups (P for interaction=0.45) or between women with and without diabetes (P for interaction=0.31), but it was stronger in women aged 50-64 at baseline than in those aged 65-79 (P for interaction=0.009).ConclusionResting heart rate, a low tech and inexpensive measure of autonomic tone, independently predicts myocardial infarction or coronary death, but not stroke, in women.Trial registrationClinicalTrials.gov NCT00000611.
| S-EPMC2640113 | biostudies-literature
Project description:An elevated heart rate increases the risk of cardiovascular disease, but the relationship between resting heart rate (RHR) and the risk of heart failure (HF) in hypertensive patients is unclear. This study was performed to assess the relationship between elevated RHR and incident HF in hypertensive patients. In total, 16 286 hypertensive patients from the Kailuan cohort were enrolled and underwent three physical examinations. According to mean RHR based on quartile, the hypertensive patients were divided into four groups: Q1 (mean RHR ≤ 69 bpm), Q2 (69 bpm < mean RHR ≤ 74 bpm), Q3 (74 bpm < mean RHR ≤ 79 bpm), and Q4 (mean RHR > 79 bpm). The cumulative mortality rate was analyzed by using the Kaplan-Meier method, with comparisons among RHR quartiles. Cox proportional hazards regression models and restricted cubic spline models were established to evaluate the association between RHR and risk of incident HF. After adjustment for confounders, the hazard ratio (HR) for HF was 1.97(95% CI: 1.28-3.04, P < .001) in the fourth quartile compared to the first quartile. Each 1-standard deviation [10 (beats/min)] increase in RHR was associated with a 40% increase in the risk of incident HF. Restricted cubic spline models presented a linear relationship between RHR and incident HF. Our study suggests that elevated RHR is associated with an enhanced risk of HF in hypertensive patients.
| S-EPMC8029903 | biostudies-literature
Project description:BackgroundTo investigate the association between resting heart rate and the risk of developing impaired fasting glucose (IFG), diabetes and conversion from IFG to diabetes.MethodsThe prospective analysis included 73,357 participants of the Kailuan cohort (57,719 men and 15,638 women). Resting heart rate was measured via electrocardiogram in 2006. Incident diabetes was defined as either the fasting blood glucose (FBG) ≥ 7.0 mmol/l or new active use of diabetes medications during the 4-year follow-up period. IFG was defined as a FBG between 5.6 and 6.9 mmol/l. A meta-analysis including seven published prospective studies focused on heart rate and diabetes risk, and our current study was then conducted using random-effects models.ResultsDuring 4 years of follow-up, 17,463 incident IFG cases and 4,649 incident diabetes cases were identified. The corresponding adjusted hazard ratios (HRs) for each 10 beats/min increase in heart rate were 1.23 [95% confidence interval (CI): 1.19, 1.27] for incident diabetes, 1.11 (95% CI: 1.09, 1.13) for incident IFG and 1.13 (95% CI: 1.08, 1.17) for IFG to diabetes conversion. The risks of incident IFG and diabetes were significantly higher among participants aged < 50 years than those aged ≥ 50 years (P-interaction < 0.02 for both). A meta-analysis confirmed the positive association between resting heart rate and diabetes risk (pooled HR for the highest vs lowest heart rate quintile = 1.59, 95% CI:1.27, 2.00; n = 8).ConclusionFaster resting heart rate is associated with higher risk of developing IFG and diabetes, suggesting that heart rate could be used to identify individuals with a higher future risk of diabetes.
| S-EPMC4553707 | biostudies-literature
Project description:Youth violence is a major global public health problem. Three UK and Swedish studies suggest that low resting heart rate predicts male youth violence, but this has not been tested in other social settings nor for females.A prospective, population-based birth cohort study was conducted in Pelotas, Brazil. Heart rate was measured using a wrist monitor at ages 11, 15 and 18 years. Violent crime and non-violent crime were measured at age 18 in self-reports and official records (N?=?3618). Confounding variables were assessed in the perinatal period and at age 11, in interviews with mothers and children. Logistic regression was used to estimate associations between quartiles of heart rate at each age, and violent and non-violent crime at age 18, separately for males and females.Lower resting heart rate was a robust correlate of violent and non-violent crime for males. Comparing males in the lowest and top quartiles of heart rate at age 15 years, adjusted odds ratios were 1.9 for violent crime [95% confidence interval (CI) 1.4-2.7] and 1.7 for non-violent crime (95% CI 1.1-2.6). For females, crime outcomes were associated only with low resting heart rate at age 18. Associations were generally linear across the four heart rate quartiles. There was no evidence that associations differed according to socioeconomic status at age 15.Low resting heart rate predicted violent and non-violent crime for males, and was cross-sectionally associated with crime for females. Biological factors may contribute to individual propensity to commit crime, even in a middle-income setting with high rates of violence.
| S-EPMC4864875 | biostudies-other
Project description:BackgruoundTo investigate the association between the time-varying resting heart rate (RHR) and change in RHR (∆RHR) over time and the risk of diabetes mellitus (DM) by sex.MethodsWe assessed 8,392 participants without DM or atrial fibrillation/flutter from the Korean Genome and Epidemiology Study, a community-based prospective cohort study that was initiated in 2001 to 2002. The participants were followed up until December 31, 2018. Updating RHR with biennial in-study re-examinations, the time-varying ∆RHR was calculated by assessing the ∆RHR at the next follow-up visit.ResultsOver a median follow-up of 12.3 years, 1,345 participants (16.2%) had DM. As compared with RHR of 60 to 69 bpm, for RHR of ≥80 bpm, the incidence of DM was significantly increased for both male and female. A drop of ≥5 bpm in ∆RHR when compared with the stable ∆RHR group (-5< ∆RHR <5 bpm) was associated significantly with lower risk of DM in both male and female. However, an increase of ≥5 bpm in ∆RHR was significantly associated with higher risk of DM only in female, not in male (hazard ratio for male, 1.057 [95% confidence interval, 0.869 to 1.285]; and for female, 1.218 [95% confidence interval, 1.008 to 1.471]).ConclusionIn this community-based longitudinal cohort study, a reduction in ∆RHR was associated with a decreased risk of DM, while an increase in ∆RHR was associated with an increased risk of DM only in female.
| S-EPMC11307111 | biostudies-literature
Project description:ObjectiveTo evaluate the prospective association between cumulative resting heart rate (cumRHR) and rapid renal function decline (RRFD) in a cohort of individuals aged 60 and older.MethodsIn the Tianjin Chronic Kidney Disease Cohort Study, the individuals who underwent three consecutive physical examinations between 2014 and 2017, with estimated glomerular filtration rate (eGFR) greater than 60 mL/min per 1.73 m2 and aged 60 years or older were enrolled. A total of 27,564 patients were prospectively followed up from January 1, 2017 to December 31, 2020. The 3-year cumRHR was calculated. The primary outcome was RRFD, defined as an annualized decline in eGFR of 5 mL/min per 1.73 m2 or greater. Logistic and restricted spline regression models and subgroup analysis were used to investigate the association of cumRHR with RRFD after adjusting for all confounders.ResultsDuring a median follow-up of 3.2 years, a total of 4,347 (15.77%) subjects developed RRFD. In fully-adjusted models, compared with the lowest quartile of cumRHR, the odds ratio (OR) for the highest was 1.44 (1.28-1.61), P < 0.001. Furthermore, each 1-standard deviation (27.97 beats/min per year) increment in cumRHR was associated with a 17% (P < 0.001) increased risk of RRFD, with a linear positive correlation (P for non-linear = 0.803). Participants with a 3-year cumRHR ≥ 207 (beats/min) * year (equivalent to ≥ 69 beats/min per year in 3 years) were found to be at a higher risk of RRFD.ConclusionsThe cumRHR is significantly associated with a higher risk of RRFD among older adults. These results might provide an effective goal for managing and delaying the decline of renal function in the older adults.
| S-EPMC10568550 | biostudies-literature
Project description:ObjectiveTo examine whether the long-term resting heart rate (RHR) pattern can predict the risk of having arterial stiffness in a large ongoing cohort.Approach and resultsThis community-based cohort included 12 554 participants in the Kailun study, who were free of myocardial infarction, stroke, arrhythmia, and cancer. We used latent mixture modeling to identify RHR trajectories in 2006, 2008, and 2010. We used multivariate linear regression model to examine the association between RHR trajectory patterns and the risk of having arterial stiffness, which was assessed by brachial-ankle pulse wave velocity in 2010 to 2016. We adjusted for possible confounding factors, including socioeconomic status, lifestyle factors, use of medications, comorbidities, and serum concentrations of lipids, glucose, and high-sensitivity C-reactive proteins. We identified 5 distinct RHR trajectory patterns based on their 2006 status and on the pattern of change during 2006 to 2010 (low-stable, moderate-stable, moderate-increasing, elevated-decreasing, and elevated-stable). We found that individuals with elevated-stable RHR trajectory pattern had the highest brachial-ankle pulse wave velocity value and individuals with the low-stable RHR trajectory pattern had the lowest value (adjusted mean difference=157 cm/s; P<0.001). Adjusted odds ratio for risk of having arterial stiffness (brachial-ankle pulse wave velocity ≥1400 cm/s) was 4.14 (95% confidence interval, 2.61-6.57) relative to these 2 extreme categories. Consistently, a higher average RHR, a higher annual RHR increase rate, and a higher RHR variability were all associated with a higher risk of having arterial stiffness.ConclusionsLong-term RHR pattern is a strong predictor of having arterial stiffness.
| S-EPMC5269420 | biostudies-literature
Project description:BackgroundPrediabetes has become a pandemic. This study aimed to identify a better predictor for the incidence of prediabetes, which we hypothesize to be the triglyceride-glucose (TyG) index, a simplified insulin resistance index. We compared its predictive value with the other common risk factors of prediabetes.MethodsThe participants of this analysis were derived from the Risk Evaluation of cAncers in Chinese diabeTic Individuals: a lONgitudinal (REACTION) study. A total of 4543 participants without initial prediabetes or diabetes were followed up for 3.25 years. Using multivariate logistic regression model, the associations between baseline obesity, lipid profiles and non-insulin-based insulin resistance indices with the incidence of prediabetes were analyzed. To assess which is better predictor for the incidence of prediabetes, the area under curves (AUCs) calculated from the receiver operating characteristic curve analyses were used to evaluate and compare with the predictive value of the different indices.ResultsDuring the 3.25 years, 1071 out of the 4543 participants developed prediabetes. Using the logistic regression analysis adjusted for some potential confounders, the risk of incidence of prediabetes increased 1.38 (1.28-1.48) fold for each 1-SD increment of TyG index. The predictive ability (assessed by AUCs) of TyG index for predicting prediabetes was 0.60 (0.58-0.62), which was superior to the indices of obesity, lipid profiles and other non-insulin-based insulin resistance indices. Although the predictive ability of the TyG index was overall similar to fasting plasma glucose (FPG) (P = 0.4340), TyG index trended higher than FPG in females (0.62 (0.59-0.64) vs. 0.59 (0.57-0.61), P = 0.0872) and obese subjects (0.59 (0.57-0.62) vs. 0.57 (0.54-0.59), P = 0.1313). TyG index had superior predictive ability for the prediabetic phenotype with isolated impaired glucose tolerance compared with FPG (P < 0.05) and other indices. Furthermore, TyG index significantly improved the C statistic (0.62 (0.60-0.64)), integrated discrimination improvement (1.89% (1.44-2.33%)) and net reclassification index (28.76% (21.84-35.67%)) of conventional model in predicting prediabetes than other indices.ConclusionsTyG could be a potential predictor to identify the high risk individuals of prediabetes.
| S-EPMC7565371 | biostudies-literature