scholarly journals Increased resting heart rate and glucose metabolism in a community population

2021 ◽  
Vol 49 (11) ◽  
pp. 030006052110537
Author(s):  
Wei Wenting ◽  
Jia Yeran ◽  
Zhan Wenfeng ◽  
Li Faping ◽  
Zhang Pingyou ◽  
...  
Keyword(s):  
Heart Rate ◽  
Chronic Diseases ◽  
Blood Lipids ◽  
Glycosylated Hemoglobin ◽  
Linear Regression Analysis ◽  
Density Lipoprotein ◽  
Multiple Linear Regression Analysis ◽  
Cardiovascular Death ◽  
Resting Heart Rate ◽  
Community Population

Objective Resting heart rate (RHR) independently predicts cardiovascular death. Increased RHR is related to chronic diseases, but community-based studies are rare. We investigated this population and factors related to RHR. Methods In total, 374 participants underwent medical examinations from March 2019 to December 2019. Participants were divided into groups with low RHR (LRHR; <65 beats/minute) and high RHR (HRHR; ≥65 beats/minute). RHR was judged using resting electrocardiogram at physical examination. We conducted laboratory examinations, including glycosylated hemoglobin (HbA1c), fasting plasma glucose (FPG), and blood lipids, among participants with chronic diseases. We used Cox proportional risk regression and multivariate analyses for the following covariates: previous chronic diseases, body mass index (BMI), smoking, blood lipids, and FPG. Results The incidence of type 2 diabetes mellitus (T2DM) and HbA1c values were both significantly higher in the HRHR group than in the LRHR group. Spearman correlation analysis showed RHR had a positive correlation with low-density lipoprotein, BMI, FPG, and HbA1c (r = 0.104574, 0.117266, 0.116041, and 0.311761, respectively). Multiple linear regression analysis showed age, hypertension, T2DM, and HbA1c were factors influencing RHR. Conclusion RHR showed strong correlation with T2DM and HbA1c in our community population, suggesting that RHR may be a risk factor for cardiovascular disease.

scholarly journals Exercise capacity and body mass index - important predictors of change in resting heart rate

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Michal Ehrenwald ◽  
Asaf Wasserman ◽  
Shani Shenhar-Tsarfaty ◽  
David Zeltser ◽  
Limor Friedensohn ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Heart Rate ◽  
Body Mass ◽  
Healthy Lifestyle ◽  
Smoking Status ◽  
Medical Center ◽  
Linear Regression Analysis ◽  
Density Lipoprotein ◽  
Resting Heart Rate ◽  
Metabolic Equivalents

Abstract Background Resting heart rate (RHR) is an obtainable, inexpensive, non-invasive test, readily available on any medical document. RHR has been established as a risk factor for cardiovascular morbidity, is related to other cardiovascular risk factors, and may possibly predict them. Change in RHR over time (∆RHR) has been found to be a potential predictor of mortality. Methods In this prospective study, RHR and ∆RHR were evaluated at baseline and over a period of 2.9 years during routine check-ups in 6683 subjects without known cardiovascular disease from the TAMCIS: Tel-Aviv Medical Center Inflammation Survey. Multiple linear regression analysis with three models was used to examine ∆RHR. The first model accounted for possible confounders by adjusting for age, sex and body mass index (BMI). The 2nd model included smoking status, baseline RHR, diastolic blood pressure (BP), dyslipidemia, high-density lipoprotein (HDL) and metabolic equivalents of task (MET), and in the last model the change in MET and change in BMI were added. Results RHR decreased with age, even after adjustment for sex, BMI and MET. The mean change in RHR was − 1.1 beats/min between two consecutive visits, in both men and women. This ∆RHR was strongly correlated with baseline RHR, age, initial MET, and change occurring in MET and BMI (P < 0.001). Conclusions Our results highlight the need for examining individual patients’ ∆RHR. Reinforcing that a positive ∆RHR is an indicator of poor adherence to a healthy lifestyle.

Conventional and bi-directional genetic evidence on resting heart rate and cardiometabolic traits

2021 ◽  
Author(s):  
Tao Huang ◽  
Wenxiu Wang ◽  
Jingjia Wang ◽  
Jun Lv ◽  
Canqing Yu ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Heart Rate ◽  
Large Scale ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Heat Rate ◽  
Resting Heart Rate ◽  
Causal Inferences ◽  
Reactive Protein ◽  
Cardiometabolic Traits

Abstract Objectives To examine the direction, strength and causality of the associations of resting heart rate (RHR) with cardiometabolic traits. Methods We assessed the strength of associations between measured RHR and cardiometabolic traits in 506,211 and 372,452 participants from China Kadoorie Biobank (CKB) and UK Biobank (UKB). Mendelian randomization (MR) analyses were used to make causal inferences in 99,228 and 371,508 participants from CKB and UKB, respectively. Results We identified significant, directionally-concordant observational associations between RHR and higher total cholesterol, triglycerides (TG), low-density lipoprotein, C-reactive protein (CRP), glucose, body mass index, waist-hip ratio (WHR), systolic blood pressure (SBP) and diastolic blood pressure (DBP) after the Bonferroni correction. MR analyses showed that 10 beat/min higher genetically-predicted RHR were trans-ethnically associated with a higher DBP (beta 2.059 [95%CI 1.544, 2.574] mmHg in CKB; 2.037 [1.845, 2.229] mmHg in UKB), higher CRP (0.180 [0.057, 0.303] log mg/L in CKB; 0.154 [0.134, 0.174] log mg/L in UKB), higher TG (0.052 [-0.009, 0.113] log mmol/L in CKB; 0.020 [0.010, 0.030] log mmol/L in UKB) and higher WHR (0.218 [-0.033, 0.469] % in CKB; 0.225 [0.111, 0.339] % in UKB). In the opposite direction, higher genetically-predicted SBP, TG, glucose, WHR and lower high-density lipoprotein were associated with elevated RHR. Conclusion Our large-scale analyses provide causal evidence between RHR and cardiometabolic traits, highlighting the importance of monitoring heat rate as a means of alleviating the adverse effect of metabolic disorders.

scholarly journals Vascular Reactivity in Hypogonadal Men Is Reduced by Androgen Substitution

2002 ◽  
Vol 87 (11) ◽  
pp. 5030-5037 ◽  
Author(s):  
Michael Zitzmann ◽  
Maik Brune ◽  
Eberhard Nieschlag
Keyword(s):  
Vascular Reactivity ◽  
Linear Regression Analysis ◽  
Body Height ◽  
Density Lipoprotein ◽  
Multiple Linear Regression Analysis ◽  
Repeated Measurements ◽  
Control Group ◽  
Substitution Therapy ◽  
Contributing Factors ◽  
High Blood Glucose

Abstract The effect of testosterone (T) substitution therapy on blood vessel functions in relation to cardiovascular disease has not been fully elucidated. In 36 newly diagnosed nonsmoking hypogonadal men (37.5 ± 12.7 yr) endothelium-dependent flow-mediated vasodilatation (FMD; decreased in atherosclerosis) of the brachial artery was assessed before treatment and after 3 months of T substitution therapy (250 mg testosterone enanthate im every 2 wk in 19 men, human chorionic gonadotropin sc twice per week in 17 men). Twenty nonsmoking controls matched for age, low-density lipoprotein cholesterol (LDL-C), body height, and baseline diameter of the artery were selected for repeated measurements from a larger eugonadal control group (n = 113). In hypogonadal men, basal FMD (17.9 ± 4.5%) was significantly higher than in the large (11.9 ± 6.4%) and matched control (11.8 ± 7.1%, both P &lt; 0.001) groups. Grouped multiple linear regression analysis revealed a significant negative association of T levels with FMD within the hypogonadal range, but no significant association was seen within the eugonadal range. During substitution therapy, T levels increased from 5.8 ± 2.3 to 17.2 ± 5.1 nmol/liter and FMD decreased significantly to 8.6 ± 3.1% (P &lt; 0.001, analysis for covariance for repeated measurements including matched controls). LDL-C and advanced age contributed significantly to decrease FMD (P = 0.01, P = 0.04, respectively). Because T substitution adversely affects this important predictor of atherosclerosis, other contributing factors (such as smoking, high blood glucose, and LDL-C) should be eliminated or strictly controlled during treatment of hypogonadal men.

scholarly journals Correlation of Resting Heart Rate with Anthropometric Factors and Serum Biomarkers in a Population-based Study: Fasa PERSIAN Cohort Study

2020 ◽  
Author(s):  
Yashar Goorakani ◽  
Massih Sedigh Rahimabadi ◽  
Azizallah Dehghan ◽  
Maryam Kazemi ◽  
Mahsa Rostami Chijan ◽  
...  
Keyword(s):  
Heart Rate ◽  
Cohort Study ◽  
Random Sample ◽  
Communicable Disease ◽  
Density Lipoprotein ◽  
Serum Biomarkers ◽  
Baseline Survey ◽  
Resting Heart Rate ◽  
Absolute Deviation ◽  
Males And Females

Abstract BackgroundThere is a positive association between raised resting heart rate (RHR), and all causes of mortality and shorter life expectancy. Several serum biomarkers and some anthropometric factors can affect the resting heart rate. This study aimed to investigate the determinants of resting heart rate in a large random sample of the Iranian population.Material and MethodsIt is a standardized, retrospective study and the subjects were chosen from the baseline survey of the Prospective Epidemiological Research Study in IrAN (PERSIAN) Fasa non-communicable disease cohort study. It was conducted from winter 2014 to summer 2019 and after obtaining informed consent from a random sample, all the eligible subjects were enrolled. All anthropometric factors and biologic laboratory factors were collected and analyzed by implement smoothly clipped absolute deviation (SCAD) linear regression and SCAD quantile regression. The comparisons between males and females were done via independent T-test.Results & ConclusionA total number of 9975 persons were included. The overall median resting heart rate was 74 (interquartile range:66-80). Mean age has no important difference between males and females (P=0.79) but, resting heart rate was significantly higher in females (76.6 versus 71.4, P<0.001). All anthropometric factors except wrist circumference were higher in females (P<0.05). Age has an adverse effect on resting heart rate and also, there was direct association between resting heart rate and systolic blood pressure and blood glucose. Alpha-blockers (coefficient=5.2) and Beta1-blockers (coefficient=-2.2) were the most effective drugs with positive and negative effects on resting heart rate respectively. Lower hemoglobin, obesity and more body mass index, and more low-density lipoprotein were associated with more resting heart rate.Continuing the monitoring of this sample via our cohort study and put to action multinational prospective researches with large sample sizes and long follow-ups can lead to more precise results and better scientific judgments.

scholarly journals The Role of Fasting LDL-C Levels in Their Non-fasting Reduction in Patients With Coronary Heart Disease

2021 ◽  
Vol 8 ◽  
Author(s):  
Qiuzhen Lin ◽  
Yan Fu ◽  
XueYan Zang ◽  
Qiming Liu ◽  
Ling Liu
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Influencing Factor ◽  
Low Density Lipoprotein ◽  
Linear Regression Analysis ◽  
Density Lipoprotein ◽  
Blood Lipid ◽  
Serum Levels ◽  
Multiple Linear Regression Analysis ◽  
Lipoprotein Cholesterol

The level of low-density lipoprotein cholesterol (LDL-C) decreases to a certain extent after daily meals; however, the influencing factor of this phenomenon has not been fully elucidated. This study included 447 patients with coronary heart disease (CHD). Serum levels of blood lipid parameters at 0, 2, and 4 hours (h) after a daily breakfast were monitored in all subjects. The levels of total cholesterol (TC), LDL-C, high-density lipoprotein cholesterol (HDL-C) and non-HDL-C significantly decreased, while those of triglycerides (TG) and remnant cholesterol (RC) significantly increased from baseline to 4 h in both male and female patients (P &lt; 0.05). Multiple linear regression analysis showed that fasting LDL-C level, the non-fasting change in RC level at 4 h and fasting TG level were significant predictors of the non-fasting change in LDL-C level at 4 h in patients with CHD, and fasting LDL-C level was the most significantly associated with the non-fasting change in LDL-C level. Patients with lower levels of fasting LDL-C had smaller non-fasting changes in LDL-C levels. When the fasting LDL-C level was &lt;1.4 mmol/L, both absolute reduction and percent reduction in LDL-C level at 4 h were almost zero, which means that the non-fasting LDL-C level at 4 h was approximately equivalent to its fasting value (P &lt; 0.05). This result indicated that the non-fasting changes in LDL-C levels were influenced by fasting LDL-C levels in patients with CHD. When the fasting LDL-C level was &lt;1.4 mmol/L, the non-fasting LDL-C level could replace the fasting value to guide treatment.

scholarly journals Association Between Circulating Adiponectin and Heart Rate Recovery in Women With Polycystic Ovarian Syndrome

2021 ◽  
Author(s):  
Huan Zheng ◽  
Zhiling Li ◽  
Wei Feng ◽  
Bin Liu
Keyword(s):  
Heart Rate ◽  
Regression Analysis ◽  
Polycystic Ovarian Syndrome ◽  
Heart Rate Recovery ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Autonomic Nervous Function ◽  
Autonomic Nervous ◽  
Nervous Function ◽  
Ovarian Syndrome

Abstract Background: Imbalance of autonomic nervous system is confirmed as a key contributor for cardiometabolic complications in polycystic ovarian syndrome (PCOS) women. Heart rate recovery (HRR) is an easy test for autonomic nervous tone evaluation and a powerful index for predicting cardiovascular events and mortality. Adiponectin (APN) is reported to be correlated closely with autonomic nervous function in different populations.Methods: This study aimed to investigate the relationship between serum total APN and HRR in PCOS women. A total of 89 PCOS women were enrolled and divided into two groups. Women with HRR values slower than 12 beats were defined as Blunted HRR Group. APN levels were compared between Blunted HRR Group and Normal HRR Group. Multivariate logistic regression analysis and multiple linear regression analysis were performed to determine which clinical variables were independently associated with decreased HRR and the effect of clinical variables on APNlevels, respectively. Results: 23 women were categorized in Blunted HRR Group, in which the APN level was significantly lower than Normal HRR Group (10.2±3.9 ug/ml vs. 13.1±4.1 ug/ml, P=0.015). Age [odds ratio (OR) = 1.15; 95% confidence interval (CI) = 1.04-1.21; P = 0.032], BMI (OR = 0.93; 95% CI = 0.72-1.08; P = 0.006), hypertension (OR = 1.08; 95%CI = 1.02-1.26; P = 0.025) and APN (OR= 0.61; 95%CI = 0.43-0.88; P = 0.018) were independent factors of attenuated HRR in PCOS women. Meanwhile, multiple linear regression analysis showed only age (β=-0.26; 95%CI =-0.47- -0.03, P= 0.041) and hyperlipemia (β=-0.13; 95%CI =-0.27-0.08, P= 0.024) were closely associated with APN levels in PCOS women.Conclusions: Our findings suggested that decreased APN concentration was closely associated with HRR blunt in PCOS women. Further studies are needed to explore the underlying interactions between APN and autonomic nervous function.

scholarly journals Personal values in adolescence and their associations with metabolic biomarkers in adulthood: a population-based study in Japan

2020 ◽  
Author(s):  
Natsu Sasaki ◽  
Kazuhiro Watanabe ◽  
Norito Kawakami
Keyword(s):  
Cluster Analysis ◽  
Waist Circumference ◽  
Personal Values ◽  
Linear Regression Analysis ◽  
Density Lipoprotein ◽  
Hdl Cholesterol ◽  
Multiple Linear Regression Analysis ◽  
Population Based ◽  
Z Score ◽  
Self Reporting Questionnaire

Abstract Background: Personal values, which are formed in early life, can have an impact on the health outcome later in life. Objective: The aim of this study is to investigate the relationship between personal values in adolescence and bio-indicators related to metabolic syndrome (MetS) in adulthood.Participant and Methods: The longitudinal data was used from the Japanese Study on Stratification, Health, Income, and Neighborhood (J-SHINE) in 2012 and 2017. Personal values in adolescence were retrospectively obtained in 2017 from a self-reporting questionnaire, composed of value priorities and commitment to the values. Venous samples were collected in 2012 for low and high-density lipoprotein (LDL, HDL) cholesterol and hemoglobin A1c (HbA1c). Body mass index (BMI), waist circumference and systolic and diastolic blood pressure (SBP, DBP) were also measured. The associations of each variable were examined by partial correlation analysis. In addition, multiple linear regression analysis was conducted to examine overall associations between personal values and the sum of standardized scores (Z-score) of the biomarkers as a proxy of MetS. Furthermore, cluster analysis was conducted to identify groups of the participants who have some specific values and to examine their associations with the Z-score. Results: The total population (n=668) included 261 men and 407 women. Among men, the personal value priority of “Having influence on society” was associated with high HDL cholesterol (partial r=0.13, p=0.032) and “Cherishing familiar people” with low waist circumference (r=-0.129, p=0.049), low SBP, and high DBP (r=-0.135, p=0.039; r=0.134, p=0.041). In women, “Not bothering others” was associated with high SBP and low DBP (r=0.125, p=0.015; r=-0.123, p=0.017). "Economically succeeding" were associated with worse outcome (β=0.162, p=0.042). In the cluster analysis, both in men and women, the cluster which had highest openness to change value; “Having and keeping a belief”, “Exploring what you were interested in” and “Actively challenging” with the highest commitment showed worst proxy outcomes although there were no significant differences.Conclusions: Although some significant associations were found between personal values in adolescence and MetS-related markers in adulthood, overall associations were not strong. Culturally prevailing values were likely to be associated with a good outcome of metabolic health.

The complex interactions among serotonin, insulin, leptin, and glycolipid metabolic parameters in human obesity

CNS Spectrums ◽  
2020 ◽  
pp. 1-10
Author(s):  
Donatella Marazziti ◽  
Laura Betti ◽  
Stefano Baroni ◽  
Lionella Palego ◽  
Federico Mucci ◽  
...  
Keyword(s):  
Energy Homeostasis ◽  
Linear Regression Analysis ◽  
Density Lipoprotein ◽  
Hdl Cholesterol ◽  
Multiple Linear Regression Analysis ◽  
Metabolic Parameters ◽  
Complex Interactions ◽  
Obese Subjects ◽  
5 Ht Uptake ◽  
And Function

Abstract Objective To provide evidence to the link between serotonin (5-HT), energy metabolism, and the human obese phenotype, the present study investigated the binding and function of the platelet 5-HT transporter (SERT), in relation to circulating insulin, leptin, and glycolipid metabolic parameters. Methods Seventy-four drug-free subjects were recruited on the basis of divergent body mass index (BMIs) (16.5-54.8 Kg/m2). All subjects were tested for their blood glycolipid profile together with platelet [3H]-paroxetine ([3H]-Par) binding and [3H]-5-HT reuptake measurements from April 1st to June 30th, 2019. Results The [3H]-Par Bmax (fmol/mg proteins) was progressively reduced with increasing BMIs (P < .001), without changes in affinity. Moreover, Bmax was negatively correlated with BMI, waist/hip circumferences (W/HC), triglycerides (TD), glucose, insulin, and leptin, while positively with high-density lipoprotein (HDL) cholesterol (P < .01). The reduction of 5-HT uptake rate (Vmax, pmol/min/109 platelets) among BMI groups was not statistically significant, but Vmax negatively correlated with leptin and uptake affinity values (P < .05). Besides, [3H]-Par affinity values positively correlated with glycemia and TD, while [3H]-5-HT reuptake affinity with glycemia only (P < .05). Finally, these correlations were specific of obese subjects, while, from multiple linear-regression analysis conducted on all subjects, insulin (P = .006) resulting negatively related to Bmax independently from BMI. Conclusions Present findings suggest the presence of a possible alteration of insulin/5-HT/leptin axis in obesity, differentially impinging the density, function, and/or affinity of the platelet SERT, as a result of complex appetite/reward-related interactions between the brain, gut, pancreatic islets, and adipose tissue. Furthermore, they support the foremost cooperation of peptides and 5-HT in maintaining energy homeostasis.

scholarly journals Personal values in adolescence and their associations with metabolic biomarkers in adulthood: a population-based study in Japan

2020 ◽  
Author(s):  
Natsu Sasaki ◽  
Kazuhiro Watanabe ◽  
Norito Kawakami
Keyword(s):  
Waist Circumference ◽  
Personal Values ◽  
Linear Regression Analysis ◽  
Density Lipoprotein ◽  
Hdl Cholesterol ◽  
Multiple Linear Regression Analysis ◽  
Population Based ◽  
Metabolic Biomarkers ◽  
Self Reporting Questionnaire ◽  
The Relationship

Abstract Background: Personal values, which are formed in early life, can have an impact on the health outcome later in life. Objective: The aim of this study is to investigate the relationship between personal values in adolescence and bio-indicators related to metabolic syndrome (MetS) in adulthood.Participant and Methods: The longitudinal data was used from the Japanese Study on Stratification, Health, Income, and Neighborhood (J-SHINE) in 2012 and 2017. Personal values in adolescence were retrospectively obtained in 2017 from a self-reporting questionnaire, composed of value priorities and commitment to the values. Venous samples were collected in 2012 for low and high-density lipoprotein (LDL, HDL) cholesterol and hemoglobin A1c (HbA1c). Body mass index (BMI), waist circumference and systolic and diastolic blood pressure (SBP, DBP) were also measured. The associations of each variable were examined by partial correlation analysis. In addition, multiple linear regression analysis was conducted to examine overall associations between personal values and the sum of standardized scores (Z-score) of the biomarkers as a proxy of MetS. Results: The total population (n=668) included 261 men and 407 women. Among men, the personal value priority of “Having influence on society” was associated with high HDL cholesterol (partial r=0.13, p=0.032) and “Cherishing familiar people” with low waist circumference (r=-0.129, p=0.049), low SBP, and high DBP (r=-0.135, p=0.039; r=0.134, p=0.041). In women, “Not bothering others” was associated with high SBP and low DBP (r=0.125, p=0.015; r=-0.123, p=0.017). "Economically succeeding" were associated with worse outcome (β=0.162, p=0.042).Conclusions: Although some significant associations were found between personal values in adolescence and MetS-related markers in adulthood, overall associations were not strong. Culturally prevailing values were likely to be associated with a good outcome of metabolic health.

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