Prickly pear juice consumption after fat intake affects postprandial heart rate variability but not traditional risk factors of cardiovascular disease in healthy males

Nutrition ◽  
2021 ◽  
pp. 111555
Author(s):  
Caroline A. Gouws ◽  
Andrew McKune ◽  
Nicolin Tee ◽  
Shawn Somerset ◽  
Reza Mortazavi
2020 ◽  
Vol 21 (Supplement_1) ◽  
Author(s):  
S M Snelder ◽  
L E De Groot - De Laat ◽  
L A Biter ◽  
M Castro Cabezas ◽  
N Pouw ◽  
...  

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)


PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0253399
Author(s):  
Natsuki Nakayama ◽  
Masahiko Miyachi ◽  
Koji Tamakoshi ◽  
Toshio Hayashi ◽  
Koji Negi ◽  
...  

Aim The purpose of the present study was to elucidate the relationship between high-frequency heart rate variability (HF HRV) and continuous daytime sitting time in patients with cardiovascular risk factors such as mild hypertension and/or stable angina pectoris. Background Decreased HF HRV precedes the progression and worsening of cardiovascular diseases. Continuous sitting behavior is a major risk factor for developing metabolic syndrome and is associated with cardiovascular disease, diabetes mellitus, renal failure, sarcopenia and osteoporosis. Risk factors for cardiovascular disease can be affected by continuous daytime sitting behaviors. Design The present study design was a post-hoc comparison. Methods Patients treated at two different primary care clinics from 2014 to 2018 were enrolled in this study (n = 53). We assessed HF HRV and continuous sitting time using 24-hour Holter electrocardiography and an activity meter at baseline and 6 months. HF HRV was calculated during sleep. Results Sitting time had decreased in 22 patients (decreased group) and increased in 31 patients (increased group) after 6 months. The mean patient ages were 73.1 and 72.0 years in the decreased and increased sitting time groups, respectively (p = 0.503). HF HRV during sleep had increased after 6 months in the decreased sitting time group. Compared with the increased group, the decreased group showed significantly higher HF HRV during sleep after 6 months by two-way repeated-measures ANOVA after adjustment for age, sex and change in activity (p = 0.045). Conclusion These results suggest that a decrease in sitting time might induce parasympathetic activity during sleep. Therefore, reducing continuous sitting time during the day might contribute, in part, to improving the prognosis of patients with cardiovascular risk factors not only by avoiding muscle loss but also by providing positive influences on parasympathetic tone during sleep.


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