Association of resting heart rate and physical activity with cardiovascular mortality: A population-based cohort study of Korean adults.

To examine the independent and combined association of resting heart rate (RHR) and physical activity (PA) with risk of cardiovascular disease (CVD) mortality. RHR was categorized as < 60, 60-69, 70-79, and ≥ 80 bpm. Meeting PA guidelines was defined as ≥ 150 min/week of moderate to vigorous physical activity (MVPA). Cox proportional hazard models were used to calculate hazard ratios (HRs) for CVD mortality associated with RHR and PA. Among 31,697 participants, 311 CVD deaths occurred during 9.2 years of follow-up. Compared to RHR of 60-69 bpm, the risk of CVD mortality was higher in RHR of < 60 bpm (HR, 1.48; 95% CI, 1.05-2.10) and ≥ 80 bpm (HR, 1.42; 95% CI, 1.06-1.91). Participants who met PA guidelines had a lower risk of CVD mortality (HR, 0.59; 95% CI, 0.44-0.78). Among physically inactive adults compared to participants in RHR of 60-69 bpm with meeting PA guidelines, the adjusted HR for CVD mortality was 2.41 (95% CI, 1.42-4.08) for RHR of < 60 bpm, 1.59 (95% CI, 1.01-2.49) for RHR of 60-69 bpm, 1.98 (95% CI, 1.23-3.20) for RHR of 70-79 bpm and 2.41 (95% CI, 1.50-3.89) for RHR of ≥ 80 bpm Exceeding the minimum level of PA guidelines may attenuate the risk of CVD mortality associated with RHR.

Association between Resting Heart Rate and Machine Learning-Based Brain Age in Middle- and Older-Age.

BACKGROUND: Resting heart rate (RHR), has been related to increased risk of dementia, but the relationship between RHR and brain age is unclear. OBJECTIVE: We aimed to investigate the association of RHR with brain age and brain age gap (BAG, the difference between predicted brain age and chronological age) assessed by multimodal Magnetic Resonance Imaging (MRI) in mid- and old-aged adults. DESIGN: A longitudinal study from the UK Biobank neuroimaging project where participants underwent brain MRI scans 9+ years after baseline. SETTING: A population-based study. PARTICIPANTS: A total of 33,381 individuals (mean age 54.74 ± 7.49 years; 53.44% female). MEASUREMENTS: Baseline RHR was assessed by blood pressure monitor and categorized as <60, 60-69 (reference), 70-79, or ≥80 beats per minute (bpm). Brain age was predicted using LASSO through 1,079 phenotypes in six MRI modalities (including T1-weighted MRI, T2-FLAIR, T2*, diffusion-MRI, task fMRI, and resting-state fMRI). Data were analyzed using linear regression models. RESULTS: As a continuous variable, higher RHR was associated with older brain age (ß for per 1-SD increase: 0.331, 95% [95% confidence interval, CI]: 0.265, 0.398) and larger BAG (ß: 0.263, 95% CI: 0.202, 0.324). As a categorical variable, RHR 70-79 bpm and RHR ≥80 bpm were associated with older brain age (ß [95% CI]: 0.361 [0.196, 0.526] / 0.737 [0.517, 0.957]) and larger BAG (0.256 [0.105, 0.407] / 0.638 [0.436, 0.839]), but RHR< 60 bpm with younger brain age (-0.324 [-0.500, -0.147]) and smaller BAG (-0.230 [-0.392, -0.067]), compared to the reference group. These associations between elevated RHR and brain age were similar in both middle-aged (<60) and older (≥60) adults, whereas the association of RHR< 60 bpm with younger brain age and larger BAG was only significant among middle-aged adults. In stratification analysis, the association between RHR ≥80 bpm and older brain age was present in people with and without CVDs, while the relation of RHR 70-79 bpm to brain age present only in people with CVD. CONCLUSION: Higher RHR (>80 bpm) is associated with older brain age, even among middle-aged adults, but RHR< 60 bpm is associated with younger brain age. Greater RHR could be an indicator for accelerated brain aging.

HEXACO personality factors as predictors of physical activity, resting heart rate, body mass index, and healthy lifestyle behaviors.

BACKGROUND: Personality traits are known factors that may influence levels of physical activity and other healthy lifestyle measures and behaviors that ultimately lead to health problems later in life. Participants And Procedure: The aim of this study was to examine the association between personality traits (HEXACO) and levels of physical activity and resting heart rate (RHR) - measured using Fitbits, BMI, and a self-reported whole-person healthy lifestyle score for N = 2580 college students. Data were collected and analyzed for students enrolled in a University Success type course from August 2017 to May 2021. The relationships between HEXACO personality traits and various physical activity and healthy lifestyle behaviors were analyzed by building several multiple regression models using R version 4.0.2. Results: In general, students who are extraverted were more physically active and students who are more open to experience had a higher RHR, even when controlling for gender. Females and males however had different profiles as to how personality influenced physical activity and other health-related measures. Male extraverts with high negative emotionality scores tend to be more physically active, whereas females tend to be more physically active when they were high in extroversion and conscientiousness, and low in openness to experience. BMI values were higher for female participants with high honesty-humility and low agreeableness and conscientiousness scores. Females also had a lower RHR for high honesty-humility and emotionality and low conscientiousness scores. CONCLUSIONS: Personality can influence levels of physical activity, RHR, and BMI. This is especially true of women. Being aware of one's personality and the relationship of personality traits to levels of physical activity and other measures of leading a healthy lifestyle can be beneficial in determining strategies to improve long-term health outcomes.

Effects of high-intensity interval exercise on arterial stiffness in individuals at risk for cardiovascular disease: a meta-analysis.

Objective: The purpose of this meta-analysis was to investigate the effect of high-intensity interval training (HIIT) on arterial stiffness (AS) and vascular function in persons at high risk of cardiovascular disease (CVD). Methods: We conducted a comprehensive search of randomized controlled trials (RCTs) published in electronic databases (PubMed, Web of Science, Cochrane, Embase, and Ebsco) since their inception through October 2023 to evaluate the effect of HIIT on AS and vascular function in persons at high risk for CVD. The weighted mean difference (WMD) and 95% confidence intervals (95% CI) were calculated, and heterogeneity was assessed using the I2 test. Results: This study included 661 participants from 16 studies. HIIT significantly reduced pulse wave velocity (PWV) in persons at high risk for CVD [weighted mean difference (WMD), -0.62; 95% CI, -0.86--0.38; P < 0.00001]. Subgroup analysis showed that the PWV improvement effect was better when the HIIT program was performed 2-3 times per week and the duration was controlled within 40 min [2-3 times, -0.67; 95% CI, -0.93--0.41; P < 0.00001; time of duration, ≤40 min, -0.66; 95% CI, -0.91--0.41; P < 0.00001]. HIIT significantly reduced systolic blood pressure (SBP, -5.43; 95% CI, -8.82--2.04; P = 0.002), diastolic blood pressure (DPB, -2.96; 95% CI, -4.88--1.04; P = 0.002), and resting heart rate (RHR, -4.35; 95% CI, -7.04--1.66; P = 0.002), but had no significant effect on augmentation index (AIX, -2.14; 95% CI, -6.77-2.50; P = 0.37). Conclusion: HIIT can improve PWV in high-risk individuals with CVD and reduce SBP, DBP, and RHR, but has no significant effect on AIX. HIIT can effectively improve AS and vascular function and can be recommended as an effective method to improve AS in high-risk persons with CVD. Systematic Review Registration: https://www.crd.york.ac.uk/PROSPERO/, identifier: CRD42023471593.

Effects of temporal changes in resting heart rate on future diabetes-related outcomes.

Background and aims: Most studies have analyzed the relationship between resting heart rate (RHR) measured at only one time point and future clinical events. The current study aims to investigate the impact of long-term RHR changes on future clinical outcomes in a decade-long cohort with type 2 diabetes mellitus (T2DM). Methods: The two-staged follow-up involved 2,513 T2DM participants. The first stage (2008-2014) intended to identify levels and trends in RHR changes, while the second stage (2014-2018) attempted to collect new occurrence records of clinical results. Cox proportional hazards models were applied to predict hazard ratios (HRs), along with 95% confidence interval (CI) for the correlation between RHR changes and future events. Results: There is no significant correlation between baseline RHR levels and long-term clinical events. According to the range of RHR change, compared with the stable RHR group, the adjusted HRs for cardiovascular events and all-cause death in the large increase group were 3.40 (95% CI: 1.33-8.71, p=0.010) and 3.22 (95% CI: 1.07-9.64, p=0.037), respectively. While the adjusted HRs for all-cause death and major adverse cardiac and cerebrovascular events (MACCE) in the moderate decrease group were 0.55 (95% CI: 0.31-0.96, p=0.037) and 0.51 (95% CI: 0.26-0.98, p=0.046). According to the trend of RHR, compared with the normal-normal group, the adjusted HRs for composite endpoint events and cerebrovascular events in the normal-high group were 1.64 (95% CI: 1.00-2.68, p=0.047) and 2.82 (95% CI: 1.03-7.76, p=0.043), respectively. Conclusion: Changes in RHR had predictive value for long-term clinical events in diabetic populations. Individuals with significantly elevated RHR over a particular period of time showed an increased risk of adverse events.

Heart Rate at Rest and Incident Atrial Fibrillation in Patients With Diastolic Dysfunction.

Diastolic dysfunction (DD) is associated with incident atrial fibrillation (AF). The influence of heart rate at rest (RHR) on incident AF in patients with DD has not been investigated. The goal of this study is to assess the influence of RHR on incident AF in patients with DD. Patients from a large health system with no previous history of AF, a left ventricular ejection fraction ≥50%, and documented DD on echocardiography were divided into quartiles (<66, 66 to 76, 77 to 91, >91 beats per minute) based on RHR. Incident AF was estimated using AF hospitalization during follow-up. Hazard ratios (HR) for AF hospitalization and all-cause death were calculated with a Cox proportional hazards model. A total of 19,046 patients were analyzed. Over a median follow-up of 42.2 months, 742 (3.9%) patients were hospitalized for AF. Both slower and faster RHR were associated with increased risk of AF hospitalization (HR 1.40, confidence interval [CI] 1.14 to 1.71, p = 0.001, HR 1.23, CI 0.99 to 1.53, p = 0.06 and HR 1.72, CI 1.38 to 2.14, p <0.001, for quartiles 1, 2, and 4, respectively), suggesting a J-shaped relation. Progressive increase in all-cause death was noted with faster RHR (HR1.19 per quartile increase, CI 1.16 to 1.22, p <0.001). These results persisted after adjustment for age, cardiovascular co-morbidities, grade of DD, and ß-blocker use. In conclusion, this large, real-world analysis indicates increased risk of incident AF with slower and faster RHR in patients with DD. Randomized trials are needed to evaluate the potential of RHR modification to mitigate the risk of incident AF.

Resting heart rate and risk of dementia: a Mendelian randomization study in the international genomics of Alzheimer's Project and UK Biobank.

Background: Observational studies have demonstrated that a higher resting heart rate (RHR) is associated with an increased risk of dementia. However, it is not clear whether the association is causal. This study aimed to determine the causal effects of higher genetically predicted RHR on the risk of dementia. Methods: We performed a two-sample Mendelian randomization analysis to investigate the causal effect of higher genetically predicted RHR on Alzheimer's disease (AD) using summary statistics from genome-wide association studies. The generalized summary Mendelian randomization (GSMR) analysis was used to analyze the corresponding effects of RHR on following different outcomes: 1) diagnosis of AD (International Genomics of Alzheimer's Project), 2) family history (maternal and paternal) of AD from UK Biobank, 3) combined meta-analysis including these three GWAS results. Further analyses were conducted to determine the possibility of reverse causal association by adjusting for RHR modifying medication. Results: The results of GSMR showed no significant causal effect of higher genetically predicted RHR on the risk of AD (ßGSMR = 0.12, P = 0.30). GSMR applied to the maternal family history of AD (ßGSMR = -0.18, P = 0.13) and to the paternal family history of AD (ßGSMR = -0.14, P = 0.39) showed the same results. Furthermore, the results were robust after adjusting for RHR modifying drugs (ßGSMR = -0.03, P = 0.72). Conclusion: Our study did not find any evidence that supports a causal effect of RHR on dementia. Previous observational associations between RHR and dementia are likely attributed to the correlation between RHR and other cardiovascular diseases.

Resting heart rate is associated with the prevalence of chronic kidney disease in Korean adult: the Korean National Health and Nutrition Survey.

BACKGROUND: Chronic kidney disease (CKD) poses a significant health challenge, yet early detection remains difficult. Resting heart rate (RHR) has been shown to be a reliable indicator of type 2 diabetes, prompting interest in its potential as an independent predictor of CKD. This study aimed to investigate the association between RHR and CKD prevalence, as well as explore potential interactions between RHR and other risk factors for CKD in a sample of 25,246 adults. METHODS: Data from the Korean National Health and Nutrition Examination Survey (2011-2014) were utilized for this study, with 19,210 participants included after screening. Logistic regression analysis was employed to examine the relationship between RHR and CKD prevalence. Stratified analyses were conducted based on known risk factors for CKD. RESULTS: Participants with an RHR ≥ 90 bpm exhibited a 2.07-fold [95% confidence interval (CI): 1.28-3.34] and 2.22-fold (95% CI: 1.42-3.48) higher prevalence of CKD in men and women, respectively, compared to those with an RHR < 60 bpm. The association between RHR and CKD prevalence was particularly pronounced in younger participants (40-59 years vs. ≥ 60 years), individuals with diabetes (yes vs. no), and those with a longer duration of diabetes (≥ 7 years vs. < 7 years). CONCLUSION: Elevated RHR was found to be significantly associated with a higher prevalence of CKD in both men and women, independent of demographic, lifestyle, and medical factors. These findings suggest that RHR could serve as a valuable predictor for undiagnosed CKD.

Predictors of Cardiac Autonomic Dysfunction in Obesity-Related Hypertension.

INTRODUCTION: Cardiac Autonomic Dysfunction (CAD) is an overlooked cardiovascular risk factor in individuals with obesity-related hypertension. Despite its clinical significance, there is a notable lack of clarity regarding the pathophysiological correlates involved in its onset and progression. AIM: The present study aimed to identify potential predictors of CAD in obesity-related hypertension. METHODS: A total of 72 participants (34 men and 38 women) were enrolled. Comprehensive evaluations were conducted, including cardiac autonomic function assessments, body composition estimation and biochemical analysis. Participants were categorized as CAD-positive or CAD-negative based on Ewing's criteria for autonomic dysfunction. Univariate logistic regression analysis was performed to identify potential predictors for CAD. Multivariate logistic regression models were further constructed by adjusting clinically relevant covariates to identify independent predictors of CAD. RESULTS: Multivariate logistic regression analysis revealed that resting heart rate (HRrest), (odds ratio, confidence interval: 0.85, 0.78-0.93; p = 0.001) and percentage body fat (BF%), (odds ratio, confidence interval: 0.78, 0.64-0.96; p = 0.018) were significant independent predictors of CAD. Receiver Operating Characteristic curve analysis depicted optimal cut-off values for HRrest and BF% as > 74.1 bpm and > 33.6%, respectively. Multicolinearity analysis showed variance inflation factors (VIF) below the cautionary threshold of 3. CONCLUSIONS: The HRrest and BF% emerged as significant independent predictors of CAD in obesity-related hypertension. Therapeutic strategies should target HRrest < 74.1 bpm and BF% < 33.6% to mitigate CAD risk in this population. Future trials are required to establish causal relationships and may consider additional confounding variables in obesity-related hypertension.

New Insights into Rate Control: Time in Target Range of Resting Heart Rate and Major Adverse Outcomes in Atrial Fibrillation.

Background: Few studies have examined the relationship between the fluctuation of heart rate control over time and cardiovascular outcomes in patients with atrial fibrillation. Our study sought to evaluate the independent association between time in target range (TIR) of resting heart rate and cardiovascular outcomes in the AFFIRM (Atrial Fibrillation Follow-Up Investigation of Rhythm Management) study. Methods: Target range of resting heart was defined as less than 80 beats per minute (bpm) for both rate and rhythm control groups. Time in target range was estimated over the first 8 months of follow-up using Rosendaal interpolation method. The association between TIR of resting heart rate and cardiovascular outcomes was estimated using adjusted Cox proportional hazards regression models. Results: Time in target range of resting heart rate (months 0 through 8) was 71 ± 34% in the rate control group and 83 ± 27% in the rhythm control group. Each 1-SD increase in TIR of resting heart rate was significantly associated with lower risk of major adverse cardiovascular events after full adjustment for demographics, medical history and history of prior heart surgery, as well as all-cause mortality. Conclusions: Time in target range of resting heart rate independently predicts the risk of cardiovascular outcomes in patients with atrial fibrillation. Long-term maintenance of heart rate on target is of great importance for patients with atrial fibrillation.

Resting heart rate causally affects the brain cortical structure: Mendelian randomization study.

Resting heart rate (RHR) has been linked to impaired cortical structure in observational studies. However, the extent to which this association is potentially causal has not been determined. Using genetic data, this study aimed to reveal the causal effect of RHR on brain cortical structure. A Two-Sample Mendelian randomization (MR) analysis was conducted. Sensitivity analyses, weighted median, MR Pleiotropy residual sum and outlier, and MR-Egger regression were conducted to evaluate heterogeneity and pleiotropy. A causal relationship between RHR and cortical structures was identified by MR analysis. On the global scale, elevated RHR was found to decrease global surface area (SA; P < 0.0125). On a regional scale, the elevated RHR significantly decreased the SA of pars triangularis without global weighted (P = 1.58 × 10-4) and the thickness (TH) of the paracentral with global weighted (P = 3.56 × 10-5), whereas it increased the TH of banks of the superior temporal sulcus in the presence of global weighted (P = 1.04 × 10-4). MR study provided evidence that RHR might be causally linked to brain cortical structure, which offers a different way to understand the heart-brain axis theory.

Relationship between resting heart rate and long-term outcomes in stabilized patients with myocardial infarction: A prospective community-based cohort study.

BACKGROUND: Resting heart rate (RHR) during hospitalization has been shown to be associated with adverse outcomes in patients with myocardial infarction (MI). This study aimed to evaluate the long-term prognostic effect of RHR during the stable phase after MI in post-MI patients. METHODS: Patients who had prior or new-onset MI and RHR measurements during the stable period after MI between 2006 and 2018 in the community-based Kailuan Study were enrolled. RHR was divided into four groups based on quartiles. Cox regression analysis was used to analyze the association of RHR with primary composite outcome of all-cause death, hospitalization for heart failure (HF), stroke, and recurrent MI and its components. RESULTS: A total of 4447 post-MI patients were included. During a median follow-up of 7.5 years, 1813 patients (40.8%) developed primary outcomes. Compared to RHR ≤67 bpm, patients with 72 < RHR ≤80 bpm and RHR >80 bpm had increased risks of primary outcome, with adjusted hazard ratios (95% confidence intervals) of 1.23 (1.08-1.40) and 1.35 (1.18-1.55), respectively. The risk of primary outcome increased by 12% (1.07-1.17) for each 10-bpm increase in RHR. Similar results were observed in all-cause death and hospitalization for HF. Restricted cubic splines revealed a linear relationship between RHR and primary outcome, all-cause death, and hospitalization for HF (P for nonlinearity >0.05). CONCLUSIONS: RHR during the stable phase after MI was an independent predictor for primary outcome and all-cause death in post-MI patients, and RHR >72 bpm was associated with increased risk for primary outcome and all-cause death.

Impact of Resting Heart Rate on All-cause Mortality in Ultra-high Risk Atherosclerotic Cardiovascular Disease Patients / 中国循环杂志

Objectives:To investigate the impact of resting heart rate on the risk of all-cause mortality in ultra-high risk atherosclerotic cardiovascular disease(ASCVD)patients. Methods:A total of 3 645 patients with ultra-high risk ASCVD(as defined in the 2023 Chinese Lipid Management Guidelines)were screened from the 2006 to 2020 Kailuan Study cohort,and after excluding 602 patients with missing resting heart rate,3 043 patients were included in the final analysis.Patients were divided into＜68 beats/min group(n=744),68-74 beats/min group(n=786),75-80 beats/min group(n=760),and≥81 beats/min group(n=753)according to the resting heart rate.Cox proportional regression model was used to estimate the hazard ratios(HRs)and 95%CI for all-cause mortality associated with the different resting heart rate groups and every 10 beats/min increase of resting heart rate.The dose-effect relationship of resting heart rate level and all-cause mortality was assessed by a restricted cubic spline regression model.The Kaplan-Meier method was applied to calculate the cumulative all-cause mortality in different groups,and the differences were compared using log-rank test. Results:The median follow-up time was 5.81(3.46,9.64)years,there were 772(25.37%)all-cause deaths during follow up.After adjusting major confounding factors,the results showed that compared with＜68 beats/min group,the risk of all-cause mortality in 75-80 beats/min group and≥81 beats/min group increased by 24%(HR=1.24,95%CI:1.01-1.52,P=0.047)and 47%(HR=1.47,95%CI:1.20-1.81,P＜0.001),respectively;the risk of all-cause mortality in 68-74 beats/min group was similar(HR=1.06,95%CI:0.86-1.31,P=0.625).In addition,an increase of 10 beats/min in resting heart rate was associated with a 13%increase in the risk of all-cause mortality(HR=1.13,95%CI:1.07-1.19,P＜0.001).In stratified analyses,it was found that for every 10 beats/min increase in resting heart rate,women faced a higher risk of all-cause mortality than men,and patients＜65 years old faced a higher risk of all-cause mortality than patients≥65 years old.The restricted cubic spline analysis also showed that resting heart rate was linearly associated with the risk of all-cause mortality(Poverall＜0.001,Pnon-linear=0.933),and the risk increased significantly with resting heart rate＞70 beats/min. Conclusions:Increased resting heart rate is linearly associated with increased risk of all-cause mortality in patients with ultra-high risk ASCVD.The appropriate intervention cut-off point of resting heart rate for ultra-high risk ASCVD patients may be＞75 beats/min.

Interplay of heart rate variability and resting heart rate on mortality in type 2 diabetes.

AIMS: Heart rate variability (HRV) and resting heart rate (RHR) are usually analyzed and interpreted separately. We aimed to assess the interplay of HRV and RHR on mortality in type 2 diabetes. METHODS: The study included 7,529 participants from the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial. HRV metrics included standard deviation of all normal-to-normal intervals (SDNN) and root mean square of successive differences between normal-to-normal intervals (rMSSD). Abnormal values were defined based on <25th percentile for HRV and >75th percentile for RHR. Interactions of HRV status and RHR status were tested on multiplicative and additive scales. Results were validated in a subset of patients with type 2 diabetes (n = 745) from the Multi-Ethnic Study of Atherosclerosis. RESULTS: Low SDNN was associated with increased all-cause mortality in the high RHR group (HR 1.60; 95% CI 1.29-1.97), but not in the normal RHR group. Compared with those who had neither low SDNN nor high RHR, the presence of either low SDNN or high RHR was not significantly associated with an increased risk of all-cause mortality. In contrast, the combination of low SDNN and high RHR was associated with a significantly increased risk of all-cause mortality (HR 1.68; 95% CI 1.43-1.97). Significant multiplicative and additive interactions were found between HRV status and RHR status on risk of all-cause mortality (all Pinteraction < 0.05). Similar findings were observed for cardiovascular mortality, in analyses using rMSSD, and in the Multi-Ethnic Study of Atherosclerosis. CONCLUSIONS: The association between HRV and mortality risk is modified by RHR levels. Furthermore, low HRV and high RHR have interdependent and synergistic associations with mortality risk.

Resting Heart Rate Independent of Cardiovascular Disease Risk Factors Is Associated With End-Stage Renal Disease: A Cohort Study Based on 476 347 Adults.

BACKGROUND: The relationship between resting heart rate (RHR) and the risk of end-stage renal disease (ESRD) among those without cardiovascular disease remains unclear. We aim to establish temporal consistency and elucidate the independent relationship between RHR and the risk of ESRD. METHODS AND RESULTS: This cohort enrolled participants from 476 347 individuals who had taken part in a screening program from 1996 to 2017. We identified 2504 participants who had ESRD, and the median follow-up was 13 years. RHR was extracted from electrocardiography results, and the study assessed the relationship between RHR and the risk of ESRD using the Cox proportional hazards model. Of the participants, 32.6% had an RHR of 60 to 69 beats per minute (bpm), and 22.2% had an RHR of ≥80 bpm. Participants with an RHR of ≥80 bpm had a higher stage of chronic kidney disease, lower estimated glomerular filtration rate, and more proteinuria than those with an RHR of 60 to 69 bpm. Participants with an RHR of 80 to 89 and ≥90 bpm had a 24% (hazard ratio [HR], 1.24 [95% CI, 1.09-1.42]) and 64% (HR, 1.64 [95% CI, 1.42-1.90]) higher risk of ESRD, respectively. The risk of ESRD remained significantly elevated (HR, 1.32 [95% CI, 1.10-1.58] per 10-beat increase from 60 bpm) after excluding participants who smoked; had hypertension, diabetes, or hyperlipidemia; or were overweight. CONCLUSIONS: An RHR of ≥80 bpm is significantly associated with an increased risk of ESRD. These results suggest that RHR may serve as a risk factor for kidney disease in individuals without established cardiovascular disease risk factors.

Resting heart rate, cognitive function, and inflammation in older adults: a population-based study.

BACKGROUND: Emerging evidence has linked elevated resting heart rate (RHR) with poor cognitive function in older adults, but the mechanisms underlying their association are poorly understood. METHODS: This population-based cross-sectional study included 4510 dementia-free participants (age ≥ 65 years; 56.9% females; 38.3% no formal education) in the baseline examination of the Multidomain Interventions to Delay Dementia and Disability in Rural China study. Of these, 1,386 had data on serum proinflammatory cytokines and adhesion molecules. RHR was measured using 12-lead electrocardiograph. We used the Mini-Mental State Examination (MMSE) and a neuropsychological test battery to assess cognitive function. Data were analyzed using the general linear and restricted cubic splines models. RESULTS: People with high RHR were more likely to have cardiometabolic diseases and worse cognitive function (p < 0.05). There was an inverted J-shaped association of RHR with MMSE and attention scores. Having RHR ≥ 80 bpm (vs. 60-69 bpm) was significantly associated with the multivariable-adjusted ß coefficients of - 0.58 [95% confidence interval (CI), - 1.00, - 0.16] for MMSE score and - 0.08 (- 0.15, - 0.01) for attention score. In the serum biomarker subsample, RHR was linearly associated with serum interleukin-6 (IL-6) (ß coefficient = 0.19; 95%CI 0.14, 0.24), IL-8 (0.08; 0.02, 0.13), IL-10 (0.09; 0.04, 0.15), tumor necrosis factor-α (0.06; 0.01, 0.11), monocyte chemotactic protein-1 (0.09; 0.04, 0.15), intercellular adhesion molecule-1 (0.16; 0.11, 0.22), and vascular cell adhesion molecule-1 (0.11; 0.06, 0.16). CONCLUSIONS: There is an inverted J-shaped association of RHR with attention and global cognition. Poor cognitive function and high RHR may be linked through systemic low-grade inflammation and endothelial injury.

Associations between baseline heart rate and blood pressure and time to events in heart failure with reduced ejection fraction patients: Data from the QUALIFY international registry.

AIMS: A high resting heart rate (RHR) and low systolic blood pressure (SBP) are a risk factor and a risk indicator, respectively, for poor heart failure (HF) outcomes. This analysis evaluated the associations between baseline RHR and SBP with outcomes and treatment patterns in patients with HF and reduced ejection fraction (HFrEF) in the QUALIFY (QUality of Adherence to guideline recommendations for LIFe-saving treatment in heart failure surveY) international registry. METHODS AND RESULTS: Between September 2013 and December 2014, 7317 HFrEF patients with a previous HF hospitalization within 1-15 months were enrolled in the QUALIFY registry. Complete follow-up data were available for 5138 patients. The relationships between RHR and SBP and outcomes were assessed using a Cox proportional hazards model and were analysed according to baseline values as high RHR (H-RHR) ≥75 bpm versus low RHR (L-RHR) <75 bpm and high SBP (H-SBP) ≥110 mmHg versus low SBP (L-SBP) <110 mmHg and analysed according to each of the following four phenotypes: H-RHR/L-SBP, L-RHR/L-SBP, H-RHR/H-SBP and L-RHR/H-SBP (reference group). Compared to the reference group, H-RHR/L-SBP was associated with the worst outcomes for the combined primary endpoint of cardiovascular death and HF hospitalization (hazard ratio [HR] 1.83, 95% confidence interval [CI] 1.51-2.21, p < 0.001), cardiovascular death (HR 2.70, 95% CI 1.69-4.33, p < 0.001), and HF hospitalization (HR 1.62, 95% CI 1.30-2.01, p < 0.001). Low-risk patients with L-RHR/H-SBP achieved more frequently ≥50% of target doses of angiotensin-converting enzyme inhibitors (ACEIs) and beta-blockers (BBs) than the other groups. However, 48% and 46% of low-risk patients were not well treated with ACEIs and BBs, respectively (≤50% of target dose or no treatment). CONCLUSION: In patients with HFrEF and recent hospitalization, elevated RHR and lower SBP identify patients at increased risk for cardiovascular endpoints. While SBP and RHR are often recognized as barriers that deter physicians from treating with high doses of recommended drugs, they are not the only reason leaving many patients suboptimally treated.

The Influence of Menstrual-Cycle Phase on Measures of Recovery Status in Endurance Athletes: The Female Endurance Athlete Project.

PURPOSE: To investigate the influence of menstrual-cycle (MC) phase on measures of recovery status, that is, resting heart rate, perceived sleep quality, and physical and mental readiness to train, among female endurance athletes. METHODS: Daily data were recorded during 1 to 4 MCs (ie, duration ≥21 and ≤35 d, ovulatory, luteal phase ≥10 d) of 41 trained-to-elite-level female endurance athletes (mean [SD]: age 27 [8] y, weekly training: 9 [3] h). Resting heart rate was assessed daily using a standardized protocol, while perceived sleep quality and physical and mental readiness to train were assessed using a visual analog scale (1-10). Four MC phases (early follicular phase [EFP], late follicular phase, ovulatory phase, and midluteal phase [MLP]) were determined using the calendar-based counting method and urinary ovulation-prediction test. Data were analyzed using linear mixed-effects models. RESULTS: Resting heart rate was significantly higher in MLP (1.7 beats·min-1, P = .006) compared with EFP without significant differences between the other MC phases. Perceived sleep quality was impaired in MLP compared with late follicular phase (-0.3, P = .035). Physical readiness to train was lower both in ovulatory phase (-0.6, P = .015) and MLP (-0.5, P = .026) compared with EFP. Mental readiness to train did not show any significant differences between MC phases (P > .05). CONCLUSIONS: Although significant, the findings had negligible to small effect sizes, indicating that MC phase is likely not the main determinant of changes in measures of recovery status but, rather, one of the many possible stressors.