6-year change in resting heart rate is associated with incident type 2 diabetes mellitus

Resting heart rate is associated with the risk of metabolic syndrome and its components among Dong adults in southwest China: Cross-sectional findings of the China Multi-Ethnic Cohort Study

AIMS

High resting heart rate (RHR), one abnormal manifestation of autonomic nervous system, is associated with metabolic disorders. However, the association between RHR and metabolic syndrome (MetS) and its components remains controversial. We aimed to explore the link between these two parameters.

MATERIALS AND METHODS

The study included 6589 Dong adults (1434 cases of MetS) from the cross-sectional survey of the China Multi-Ethnic Cohort Study. Logistic regression model was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) and assess the association between RHR and MetS, clustered metabolic risk, and MetS components. Restricted cubic splines model was used to evaluate the dose response association.

RESULTS

A positive association existed between RHR and MetS, and people in the highest RHR quartile had a higher MetS risk (OR 1.75 [95% CI 1.42-2.15]) than those in the lowest quartile. The clustered metabolic risk associated with RHR (p < 0.05). Furthermore, RHR was related to elevated blood pressure (BP), elevated triglycerides (TG) and elevated fasting plasma glucose (FPG); the ORs (95% CIs) for the highest versus lowest RHR quartile were 2.06 (1.75-2.43), 1.37 (1.17-1.62) and 2.53 (2.04-3.14), respectively. Similar results were found in sensitivity and subgroup analyses. Also, non-linear dose response association existed between RHR and MetS and elevated levels of BP, TG and FPG (p < 0.001).

CONCLUSIONS

RHR was related to increased risk of MetS, three MetS components (elevated BP, elevated TG and elevated FPG) and the clustered metabolic risk. RHR may be a useful indicator for MetS.

Effects of lunar cycle on fasting plasma glucose, heart rate and blood pressure in type 2 diabetic patients

The purpose of this study was to investigate the influence of lunar phases on fasting plasma glucose, heart rate, and blood pressure in type 2 diabetic patients. The present cross-sectional study was carried out during four phases, i.e., full moon (FM), first quarter (FQ), new moon (NM), and third quarter (TQ), of the lunar month. The study was conducted on 42 randomly selected patients (22 males and 20 females) from the Diabetes Clinic of Calcutta Medical College. Fasting plasma glucose (FPG) of each subject was determined and heart rate (HR) and blood pressure (BP) were measured at rest and during static exercise conditions, i.e., performance of a standard handgrip dynamometer test. The FPG level during the NM and FM was significantly higher (p < .001) than during the TQ and FQ for both males and females, respectively. The mean HR during static exercise during the NM and FM for both males and females was significantly higher than that during the FQ (p < .05) and TQ (p < .01). It appears from the present study that lunar phases may affect fasting plasma glucose level and cardiovascular functions of aged type 2 diabetic patients both at rest and during exercise.

[Bivariate heritability estimation of resting heart rate and common chronic disease based on extended pedigrees]

OBJECTIVE

To estimate the univariate heritability of resting heart rate and common chronic disease such as hypertension, diabetes, and dyslipidemia based on extended pedigrees in Fujian Tulou area and to explore bivariate heritability to test for the genetic correlation between resting heart rate and other relative phenotypes.

METHODS

The study was conducted in Tulou area of Nanjing County, Fujian Province from August 2015 to December 2017. The participants were residents with Zhang surname and their relatives from Taxia Village, Qujiang Village, and Nanou Village or residents with Chen surname and their relatives from Caoban Village, Tumei Village, and Beiling Village. The baseline survey recruited 1 563 family members from 452 extended pedigrees. The pedigree reconstruction was based on the family information registration and the genealogy booklet. Univariate and bivariate heritability was estimated using variance component models for continuous variables, and susceptibility-threshold model for binary variables.

RESULTS

The pedigree reconstruction identified 1 seven-generation pedigree, 2 five-generation pedigrees, 23 four-generation pedigrees, 186 three-generation pedigrees, and 240 two-generation pedigrees. The mean age of the participants was 57.2 years and the males accounted for 39.4%. The prevalence of hypertension, diabetes, dyslipidemia in this population was 49.2%, 10.0%, and 45.2%, respectively. The univariate heritability estimation of resting heart rate, hypertension, and dyslipidemia was 0.263 (95%CI: 0.120－0.407), 0.404 (95%CI: 0.135－0.673), and 0.799 (95%CI: 0.590－1), respectively. The heritability of systolic blood pressure, diastolic blood pressure, fasting glucose, total cholesterol, triglyceride, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol was 0.379, 0.306, 0.393, 0.452, 0.568, 0.852, and 0.387, respectively. In bivariate analysis, there were phenotypic correlations between resting heart rate with hypertension, diabetes, diastolic blood pressure, fasting glucose, and triglyceride. After taking resting heart rate into account, there were strong genetic correlations between resting heart rate with fasting glucose (genetic correlation 0.485, 95%CI: 0.120－1, P<0.05) and diabetes (genetic correlation 0.795, 95%CI: 0.181－0.788, P<0.05).

CONCLUSION

Resting heart rate was a heritable trait and correlated with several common chronic diseases and related traits. There was strong genetic correlation between resting heart rate with fasting glucose and diabetes, suggesting that they may share common genetic risk factors.

Temporal Changes in Resting Heart Rate, Left Ventricular Dysfunction, Heart Failure and Cardiovascular Disease: CARDIA Study

BACKGROUND

The prognostic significance of temporal changes in resting heart rate in young adults for premature heart failure and cardiovascular disease is unclear. We investigated the association between temporal changes in resting heart rate in young adults and early adult risk factors, subsequent cardiac function, and the risk of heart failure and cardiovascular by middle age.

METHODS

We examined 4343 Coronary Artery Risk Development in Young Adults (CARDIA) study participants (mean [SD] age was 29.9 [3.6] years at the CARDIA Year-5 examination [1990-1991], 49% of participants were men, and 45% were African-American). Adjusted linear regression models were used to assess the association between temporal changes in resting heart rate, early life cardiovascular disease risk factors, and midlife cardiac function. Cox proportional hazard regression models were used to relate temporal changes in resting heart rate to heart failure and cardiovascular disease. Outcomes were followed up until August 31, 2017.

RESULTS

Higher alcohol consumption (β = 0.03, P <0.001), lower physical activity (β = 0.002, P = 001), smoking (β = 1.58, P <0.001), men (P <0.001), African Americans (P <0.001), impaired left ventricular relaxation (e´,β = -0.13, P = 0.002), and worse diastolic function (E/e´, β = 0.1, P = 0.01) were associated with longitudinal increases in resting heart rate. We observed 268 cardiovascular disease and 74 heart failure events over a median of 26 years. In Cox models, baseline and temporal changes in resting heart rate were associated with higher risk of heart failure (hazard ratio [HR] =1.37 95% confidence interval [CI] [1.05-1.79] and HR = 1.38 95% CI [1.02-1.86]) and a higher risk cardiovascular disease (HR = 1.23 95% CI [1.07-1.42] and HR = 1.23 95% CI [1.05-1.44]).

CONCLUSIONS

Baseline and temporal changes in resting heart rate in young adults were associated with incident heart failure and cardiovascular disease by midlife. Contributory factors were associations between temporal increases in resting heart rate and early adult risk factors and subsequent cardiac dysfunction.

Heart rate as a predictor of cardiovascular risk

Heart rate is a parameter that is very easy to measure and is widely used both in clinic and during daily life activities. Its value gained more relevance with the evidence, in prospective studies and meta-analysis, of association between elevated heart rate values and diseases and outcomes.The increased knowledge of physiological mechanisms of heart rate control and the pathophysiological mechanisms responsible for its dysfunction allows to identify the cut-off value of normalcy providing info for non-pharmacological and pharmacological treatments to reduce the cardiovascular risk both in general population and in pathophysiological conditions. This paper overviews the knowledges of the role of resting heart rate as predictor of cardiovascular risk.