Increased afternoon step count increases heart rate variability in patients with cardiovascular risk factors

2021 ◽  
Author(s):  
Natsuki Nakayama ◽  
Masahiko Miyachi ◽  
Koji Tamakoshi ◽  
Shuji Morikawa ◽  
Koji Negi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Step Count

Relationship Between Heart Rate Variability and Cardiovascular Risk Factors in Middle-Aged Males

1996 ◽  
Vol 1 (4) ◽  
pp. 354-362 ◽  
Author(s):  
Sirkku M. Pikkujämsä ◽  
Heikki V. Huikuri ◽  
Markku J. Ikäheimo ◽  
K. E. Juhani Airaksinen ◽  
Asko O. Rantala ◽  
...  
Keyword(s):  
Risk Factors ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Middle Aged

Heart Rate Variability and Cardiovascular Risk Factors in Adolescent Boys

2014 ◽  
Vol 165 (5) ◽  
pp. 945-950 ◽  
Author(s):  
Breno Q. Farah ◽  
Mauro V.G. Barros ◽  
Babu Balagopal ◽  
Raphael M. Ritti-Dias
Keyword(s):  
Risk Factors ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Adolescent Boys

scholarly journals P936 Early signs of cardiac dysfunction in obesity patients, results of the CARDIOBESE study

2020 ◽  
Vol 21 (Supplement_1) ◽  
Author(s):  
S M Snelder ◽  
L E De Groot - De Laat ◽  
L A Biter ◽  
M Castro Cabezas ◽  
N Pouw ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Cardiovascular Risk ◽  
Standard Deviation ◽  
Cardiovascular Risk Factors ◽  
Cardiac Dysfunction ◽  
P Value ◽  
Early Signs

Abstract Introduction Obesity is becoming a global epidemic. Current knowledge on early signs of cardiac dysfunction in obesity patients is insufficient. The onset of heart failure in obesity patients cannot be fully explained by the presence of traditional cardiovascular risk factors. Purpose To detect early signs of cardiac dysfunction in obesity patients without known cardiovascular disease. Methods The CARDIOBESE-study is a cross-sectional multicentre study of 100 obesity patients scheduled for bariatric surgery (body mass index (BMI) ≥35 kg/m2) without known cardiovascular disease, and 50 age-matched and gender-matched non-obese controls (BMI ≤30 kg/m2). Speckle tracking echocardiography, biomarkers and Holter monitoring were used to identify parameters that are able to show cardiac dysfunction at a very early stage in obesity patients. Results Obesity patients had impaired left ventricular ejection fraction, global longitudinal strain (GLS) and diastolic function parameters (e.g. septal e" velocity, lateral e" velocity, E/e’ and E/A-ratio) as compared to the non-obese controls (Table). C-reactive protein (CRP) and heart rate were increased, whereas heart rate variability (Standard deviation of NN intervals, SDNN) was decreased. Obesity patients were subdivided in patients with impaired (< -17%, n = 56) or normal GLS (n = 36). Comparison between these patients revealed no differences regarding BMI, prevalence of traditional cardiovascular risk factors or CRP value. Nevertheless, patients with abnormal GLS had a higher waist circumference and lower SDNN. Conclusion There is a high prevalence of subclinical cardiac dysfunction as measured by GLS in obesity patients (56%), which appears to be related to abdominal fat and decreased heart rate variability and not to BMI, traditional cardiovascular risk factors or CRP. Non-obese controls (n = 50) Obesity patients (n = 100) p-value Obesity patients with normal GLS (n = 36) Obesity patients with impaired GLS (n = 56) p-value Age (years) 49.2 ± 9.5 47.9 ± 7.6 0.36 47.6 ± 7.1 48.3 ± 7.6 0.68 BMI (kg/m2) 24.9 ± 3.2 42.9 ± 4.1 <0.001 42.7 ± 4.2 42.7 ± 4.1 0.98 Waist circumference (cm) 81.1 ± 10.4 133.1 ± 12.3 <0.001 128.2 ± 11.5 135.2 ± 10.5 0.006 E/A- ratio 1.19 ± 0.26 1.01 ± 0.3 <0.001 1.08 ± 0.2 0.96 ± 0.27 0.048 Septel e" velocity 10.3 ± 9.8 8.1 ± 1.8 0.03 8.2 ± 1.9 7.8 ± 1.7 0.24 E/e" 8.5 ± 2.1 8.9 ± 2.5 0.32 9.5 ± 2.4 8.7 ± 2.5 0.14 CRP (mg/L) 1.9 ± 2.9 8.8 ± 8.8 <0.001 8.5 ± 7.3 9.3 ± 10.1 0.67 SDNN 160.2 ± 35.4 109.4 ± 46.0 <0.001 130.4 ± 48.3 98.9 ± 41.2 0.001 Table: Selection of parameters. Values are means ± SD. SDNN= Standard deviation of NN intervals (heart rate variability)

scholarly journals Relationship of the Aggregation of Cardiovascular Risk Factors in the Parasympathetic Modulation of Young People with Type 1 Diabetes

Medicina ◽  
2019 ◽  
Vol 55 (9) ◽  
pp. 534 ◽  
Author(s):  
Anne Kastelianne França da Silva ◽  
Diego Giulliano Destro Christofaro ◽  
Laís Manata Vanzella ◽  
Franciele Marques Vanderlei ◽  
Maria Júlia Lopez Laurino ◽  
...  
Keyword(s):  
Risk Factors ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Type 1 Diabetes ◽  
Cardiovascular Risk ◽  
Young People ◽  
Cardiovascular Risk Factors ◽  
Heart Rate Variability Analysis ◽  
Fat Percentage

Background and objectives: In healthy individuals, autonomic alterations are associated with the aggregation of cardiovascular risk factors. However, in individuals with type 1 diabetes, who are known to present autonomic alterations, mainly characterized by a reduction in parasympathetic modulation, these associations have not yet been investigated. We assess whether the aggregation of cardiovascular risk factors influences parasympathetic indices of heart rate variability in young people with type 1 diabetes. Materials and methods: This cross-sectional study included 39 individuals with type 1 diabetes (22.54 ± 4.31), evaluated in relation to the risk factors: blood pressure, fat percentage, and resting heart rate. For heart rate variability analysis, heart rate was recorded beat-to-beat using a cardio frequency meter (PolarS810i) for 30 min with the volunteers in dorsal decubitus. The parasympathetic heart rate variability indices were calculated: rMSSD, pNN50, high frequency (HF) n.u (normalized units), SD1, 2LV, and 2ULV. Data collection was carried out in 2014 and analyzed in 2017. Results: Individuals with two aggregate risk factors present a reduction in the values of the indices that reflect parasympathetic autonomic modulation compared to individuals without the risk factors analyzed, regardless of sex and age. Conclusion: In young people with type 1 diabetes, the aggregation of cardiovascular risk factors is associated with parasympathetic autonomic impairment.

scholarly journals POS0116 HEART RATE VARIABILITY IN PATIENTS WITH BEHCETS DISEASE

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 269.2-269
Author(s):  
R. Goloeva ◽  
Z. Alekberova ◽  
T. Popkova ◽  
S. Glukhova ◽  
D. Novikova
Keyword(s):  
Risk Factors ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Disease Duration ◽  
Control Group ◽  
Healthy Controls ◽  
Positive Correlation ◽  
Cholesterol Levels

Background:Behcet’s disease (BD) is a systemic vasculitis affecting all types and sizes of blood vessels. Heart rate variability (HRV) reflects sympathetic -parasympathetic imbalance in the autonomic NS regulation. Low HRV values are known as independent risk factor of death and non-fatal cardiovascular events in both - survivors of a myocardial infarction and in asymptomatic population.Objectives:The aim of this study is to evaluate HRV in BD pts vs healthy controls.Methods:The study group included 74 BD pts (53males/21females) with disease duration of 9,0 (5,0;15,0)/9,0 (7;20) years, and the control group - 32/15 age-matched healthy m/f. The following HRV parameters from 24h ECG ambulatory recording were assessed: MeanNN and time-domain variables, adjusted by MeanNN (SDNNn%, SDNNin%, RMSSDn%). Additionally, all traditional cardiovascular risk factors such as systolic blood pressure (SPB), smoking status, BMI values, dyslipidemia profile, ultrasonographic values of carotid intima-media thickness (IMT), and levels high sensitive CRP (hsCRP) as a marker of inflammation were evaluated.Results:In BD patients HRV values (RMSSDn%) were significantly lower compared to healthy controls (table 1).Table 1.HRV parameters in BD patients and control groupParametersMalesFemalesBD (n=53)Control (n=32)BD (n=21)Control (n=15)Age, years30 (24; 36)30 (26; 35)32 (26; 37)28 (24; 31)MeanNN, ms810 (732; 849)782 (732; 835)776 (708; 830)764 (694; 832)SDNN n (%)16,9 (13,6; 19,4)17,2 (16,3; 21,1)13,1 (11,3; 5,3)12,2 (10,7; 14,6)SDNNi n (%)6,8 (5,1; 8,1)6,8 (5,0; 8,3)7,1 (6,1; 7,7)5,2 (4,9; 5,7)RMSSD n (%)2,1 (1,5; 2,3)**4,1 (2,7; 5,2)**1,7 (1,4; 3,7)*2,8 (2,2; 3,9)*Data are presented in median values and interquartile range, *p<0,05, **p<0,005 vs controls.There was a significant negative correlation in BD patients between HRV (SDNNin%) and age (r= -0,4; p=0,00), disease duration (r= -0,3; p=0,00), BMI (r= -0,2; p<0,01), cholesterol levels (r= -0,3; p=0,00), LDLP (r= -0,3; p=0,00) and increased IMT (r= -0,2; p=0,04), and also between HRV (RMSSD%) and age (r= -0,2; p=0,04), disease duration (r= -0,2; p=0,01), cholesterol levels (r= -0,3; p=0,00), HDLP (r= -0,2; p=0,04); a positive correlation was established between HRV (SNNN%) and smoking (r= -0,2; p=0,04). The control group showed positive correlation between HRV (SNNN%) and increased IMT (r= 0,4; p=0,01).Conclusion:HRV reduction reflects impaired sympathetic -parasympathetic regulation in BD pts, associated with pts’ age, disease duration and presence of traditional cardiovascular risk factors: BMI, increased cholesterol levels, LDLP, and such asymptomatic manifestation of atherosclerosis as increased IMT.Disclosure of Interests:None declared

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