A Meta-Analysis on the Impact of Alcohol Dependence on Short-Term Resting-State Heart Rate Variability: Implications for Cardiovascular Risk

2012 ◽  
Vol 37 ◽  
pp. E23-E29 ◽  
Author(s):  
Daniel S. Quintana ◽  
Iain S. McGregor ◽  
Adam J. Guastella ◽  
Gin S. Malhi ◽  
Andrew H. Kemp
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Cardiovascular Risk ◽  
Alcohol Dependence ◽  
Resting State ◽  
Meta Analysis ◽  
Short Term ◽  
The Impact

scholarly journals Heart Rate Variability Analyses in Parkinson’s Disease: A Systematic Review and Meta-Analysis

2021 ◽  
Vol 11 (8) ◽  
pp. 959
Author(s):  
Konstantin G. Heimrich ◽  
Thomas Lehmann ◽  
Peter Schlattmann ◽  
Tino Prell
Keyword(s):  
Parkinson’S Disease ◽  
Heart Rate ◽  
Parkinson's Disease ◽  
Heart Rate Variability ◽  
Meta Analysis ◽  
Cardiac Activity ◽  
Heart Rate Variability Analysis ◽  
Short Term ◽  
Variability Analysis ◽  
Parasympathetic Regulation

Recent evidence suggests that the vagus nerve and autonomic dysfunction play an important role in the pathogenesis of Parkinson’s disease. Using heart rate variability analysis, the autonomic modulation of cardiac activity can be investigated. This meta-analysis aims to assess if analysis of heart rate variability may indicate decreased parasympathetic tone in patients with Parkinson’s disease. The MEDLINE, EMBASE and Cochrane Central databases were searched on 31 December 2020. Studies were included if they: (1) were published in English, (2) analyzed idiopathic Parkinson’s disease and healthy adult controls, and (3) reported at least one frequency- or time-domain heart rate variability analysis parameter, which represents parasympathetic regulation. We included 47 studies with 2772 subjects. Random-effects meta-analyses revealed significantly decreased effect sizes in Parkinson patients for the high-frequency spectral component (HFms2) and the short-term measurement of the root mean square of successive normal-to-normal interval differences (RMSSD). However, heterogeneity was high, and there was evidence for publication bias regarding HFms2. There is some evidence that a more advanced disease leads to an impaired parasympathetic regulation. In conclusion, short-term measurement of RMSSD is a reliable parameter to assess parasympathetically impaired cardiac modulation in Parkinson patients. The measurement should be performed with a predefined respiratory rate.

The impact of noise on the short-term effects of traffic-related air pollution on heart rate variability in young healthy adults

2013 ◽  
Vol 2013 (1) ◽  
pp. 4244
Author(s):  
Jing Huang ◽  
Furong Deng ◽  
Shaowei Wu ◽  
Henry Lu ◽  
Yu Hao ◽  
...  
Keyword(s):  
Heart Rate ◽  
Air Pollution ◽  
Heart Rate Variability ◽  
Healthy Adults ◽  
Short Term ◽  
The Impact ◽  
Short Term Effects

Depression and resting state heart rate variability in children and adolescents — A systematic review and meta-analysis

2016 ◽  
Vol 46 ◽  
pp. 136-150 ◽  
Author(s):  
Julian Koenig ◽  
Andrew H. Kemp ◽  
Theodore P. Beauchaine ◽  
Julian F. Thayer ◽  
Michael Kaess
Keyword(s):  
Systematic Review ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Children And Adolescents ◽  
Resting State ◽  
Meta Analysis

scholarly journals Acute effect of ambient fine particulate matter on heart rate variability: an updated systematic review and meta-analysis of panel studies

2020 ◽  
Vol 25 (1) ◽  
Author(s):  
Zhiping Niu ◽  
Feifei Liu ◽  
Baojing Li ◽  
Na Li ◽  
Hongmei Yu ◽  
...  
Keyword(s):  
Systematic Review ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Particulate Matter ◽  
Meta Analysis ◽  
Acute Effect ◽  
Short Term ◽  
Short Term Exposure ◽  
Panel Studies ◽  
Frequency Power

Abstract Background Decreased heart rate variability (HRV) is a predictor of autonomic system dysfunction, and is considered as a potential mechanism of increased risk of cardiovascular disease (CVD) induced by exposure to particulate matter less than 2.5 μm in diameter (PM2.5). Previous studies have suggested that exposure to PM2.5 may lead to decreased HRV levels, but the results remain inconsistent. Methods An updated systematic review and meta-analysis of panel studies till November 1, 2019 was conducted to evaluate the acute effect of exposure to ambient PM2.5 on HRV. We searched electronic databases (PubMed, Web of Science, and Embase) to identify panel studies reporting the associations between exposure to PM2.5 and the four indicators of HRV (standard deviation of all normal-to-normal intervals (SDNN), root mean square of successive differences in adjacent normal-to-normal intervals (rMSSD), high frequency power (HF), and low frequency power (LF)). Random-effects model was used to calculate the pooled effect estimates. Results A total of 33 panel studies were included in our meta-analysis, with 16 studies conducted in North America, 12 studies in Asia, and 5 studies in Europe. The pooled results showed a 10 μg/m3 increase in PM2.5 exposure which was significantly associated with a − 0.92% change in SDNN (95% confidence intervals (95%CI) − 1.26%, − 0.59%), − 1.47% change in rMSSD (95%CI − 2.17%, − 0.77%), − 2.17% change in HF (95%CI − 3.24%, − 1.10%), and − 1.52% change in LF (95%CI − 2.50%, − 0.54%), respectively. Overall, subgroup analysis suggested that short-term exposure to PM2.5 was associated with lower HRV levels in Asians, healthy population, and those aged ≥ 40 years. Conclusion Short-term exposure to PM2.5 was associated with decreased HRV levels. Future studies are warranted to clarity the exact mechanism of exposure to PM2.5 on the cardiovascular system through disturbance of autonomic nervous function.

Association Between Heart Rate Variability and Parkinson’s Disease: A Meta-Analysis

2020 ◽  
Vol 19 ◽  
Author(s):  
Yuan Li ◽  
Junjie Wang ◽  
Xinyi Li ◽  
Wei Jing ◽  
Itohan Omorodion ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Disease Duration ◽  
Meta Analysis ◽  
Autonomic Nerve ◽  
Cochrane Library ◽  
Regulation System ◽  
Heart Rate Regulation ◽  
Subgroup Analyses ◽  
The Impact

Aim: A systematic review which aims to assess the evidence regarding the function of the autonomic heart rate regulation system among Parkinson‟s disease (PD) patients. The main objective of the study is to compare heart rate variability (HRV) between those with and without PD from published studies. The subgroup analyses aimed to investigate the impact of treatment and disease duration on heart rate variability (HRV), assessed by measuring sympathetic and parasympathetic activity via low-frequency (LF) and high-frequency (HF) power spectrum scores, in patients with Parkinson‟s disease (PD). Methods: PubMed, Cochrane Library, Embase and Web of Science were searched using the keywords “Parkinson‟s disease” and “heart rate variability”. Studies that reported at least one HRV variable were included. The quality of the included studies was evaluated, and the relevant information was extracted. Then, a meta-analysis was carried out with Stata software. Results: Thirteen references (16 studies) were included in our analysis. The LF values (g -0.27; 95% confidence interval (CI) -0.53 to -0.01) of the patients with PD were lower than the controls. No significant differences in HF values (g -0.11; 95% CI -0.28 to 0.06) were observed between groups. Subgroup analyses of HRV outcomes in patients stratified by treatment status and disease duration were performed. For LF, patients with a disease duration of less than 5 years presented lower HF (g -0.25; 95% CI -0.44 to -0.06) values than controls. Regarding HF, patients receiving treatment presented lower HF (g -0.22; 95% CI -0.40 to 0.05) values than controls, and patients with a disease duration greater than 5 years also presented lower HF (g -0.29; 95% CI -0.56 to -0.03) values than controls. Discussion: We have confirmed and elaborated on the hypothesis of sympathovagal imbalance in PD. Knowledge of the effect of sympathovagal balance on HRV may inform the design of therapeutic regimens for PD. However, between-study heterogeneity and methodological issues limit the generalizability of the evidence; thus, future studies employing strict methodologies are warranted. Conclusion: Our meta-analysis found that PD is associated with reduced HRV values, which indicates that both sympathetic and vagal activity are decreased. Patients in the early stage of PD have sympathetic autonomic nerve dysfunction with only minor damage to sympathetic activity.

scholarly journals Birth weight and heart rate autonomic recovery following exercise in healthy term-born adults

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Giovanna de Paula Vidigal ◽  
David M. Garner ◽  
Amanda N. Akimoto ◽  
Vitor E. Valenti
Keyword(s):  
Heart Rate ◽  
Nervous System ◽  
Cardiovascular Risk ◽  
Autonomic Nervous System ◽  
Birth Weight ◽  
Aerobic Exercise ◽  
Adult Health ◽  
Short Term ◽  
Physically Active ◽  
The Impact

AbstractThe impact of birth weight (BW) on adult health has been studied, related to the autonomic nervous system, and implicated in cardiovascular risk. We investigated cardiorespiratory and heart rate (HR) autonomic recovery after moderate effort in healthy term-born adults with different BWs. We studied 28 healthy physically active women aged between 18 to 30 years split equally into two groups according to BW: G1 (n = 14), BW between 2500 g and 3200 g and G2 (n = 14), BW > 3200 g. The groups remained seated at rest for 15 min, followed by aerobic exercise on a treadmill (five minutes at 50–55% of maximum HR and 25 min 60–65% of maximum HR) and then remained seated for 60 min during recovery from the exercise. Cardiorespiratory parameters and HR variability (HRV) [RMSSD, HF (ms2)] were assessed before and during recovery from exercise. In G1, HR was increased from 0 to 20 min after exercise whilst in G2 HR was higher from 0 to 7 min following exercise. In G1, short-term HRV was increased from 5 to 10 min after exercise but in G2 it recovered prior to 5 min following effort. In conclusion, healthy term-born women with low normal BW present slower HR autonomic recovery after exercise.

A Meta-analysis on Resting State High-frequency Heart Rate Variability in Bulimia Nervosa

2016 ◽  
Vol 24 (5) ◽  
pp. 355-365 ◽  
Author(s):  
Stephanie K. V. Peschel ◽  
Nicole R. Feeling ◽  
Claus Vögele ◽  
Michael Kaess ◽  
Julian F. Thayer ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Bulimia Nervosa ◽  
Resting State ◽  
High Frequency ◽  
Meta Analysis

scholarly journals Impact of Using Different Levels of Threshold-Based Artefact Correction on the Quantification of Heart Rate Variability in Three Independent Human Cohorts

2020 ◽  
Vol 9 (2) ◽  
pp. 325 ◽  
Author(s):  
Juan M. A. Alcantara ◽  
Abel Plaza-Florido ◽  
Francisco J. Amaro-Gahete ◽  
Francisco M. Acosta ◽  
Jairo H. Migueles ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Repeated Measures ◽  
Short Term ◽  
Nervous System Function ◽  
The Time Domain ◽  
Middle Aged Adults ◽  
The Impact ◽  
Artefact Correction ◽  
Different Levels

Heart rate variability (HRV) is a non-invasive indicator of autonomic nervous system function. HRV recordings show artefacts due to technical and/or biological issues. The Kubios software is one of the most used software to process HRV recordings, offering different levels of threshold-based artefact correction (i.e., Kubios filters). The aim of the study was to analyze the impact of different Kubios filters on the quantification of HRV derived parameters from short-term recordings in three independent human cohorts. A total of 312 participants were included: 107 children with overweight/obesity (10.0 ± 1.1 years, 58% men), 132 young adults (22.2 ± 2.2 years, 33% men) and 73 middle-aged adults (53.6 ± 5.2 years, 48% men). HRV was assessed using a heart rate monitor during 10–15 min, and the Kubios software was used for HRV data processing using all the Kubios filters available (i.e., 6). Repeated-measures analysis of variance indicated significant differences in HRV derived parameters in the time-domain (all p < 0.001) across the Kubios filters in all cohorts, moreover similar results were observed in the frequency-domain. When comparing two extreme Kubios filters, these statistical differences could be clinically relevant, e.g. more than 10 ms in the standard deviation of all normal R-R intervals (SDNN). In conclusion, the results of the present study suggest that the application of different Kubios filters had a significant impact on HRV derived parameters obtained from short-term recordings in both time and frequency-domains.

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