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Ramakumar N, Sama S. Exploring Heart Rate Variability Biofeedback as a Nonpharmacological Intervention for Enhancing Perioperative Care: A Narrative Review. Turk J Anaesthesiol Reanim 2024; 52:125-133. [PMID: 39287174 DOI: 10.4274/tjar.2024.241658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/19/2024] Open
Abstract
Heart rate variability biofeedback (HRVBF) is a non-invasive therapeutic technique that aims to regulate variability in heart rate. This intervention has promise in mitigating perioperative stress, a critical factor for surgical patient outcomes. This comprehensive review aimed to explore the current evidence on the perioperative role of HRV biofeedback in improving patient outcomes, reducing perioperative stress, enhancing recovery, and optimizing anaesthesia management. A review of the PubMed and Google Scholar databases was conducted to identify articles focused on HRVBF in relation to the perioperative period. Studies were selected using appropriate keywords in English (MeSH). Ample potential applications of HRVBF in clinical anaesthesia have been identified and proven feasible. It is a non-invasive and an easy method an anaesthesiologists has at its disposal with potential utility in reducing perioperative stress, as a tool of optimization of comorbidities, analgesia supplementation and in predicting catastrophic complications. Although HRVBF has the potential to enhance anaesthesia management and improve patient outcomes, several limitations and challenges must be addressed to maximize its clinical utility. Overcoming these obstacles through research and technological advancements will be crucial for realizing the full benefits of HRVBF in perioperative care.
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Affiliation(s)
- Nirupa Ramakumar
- Himalayan Institute of Medical Sciences, Department of Anaesthesiology, Uttarakhand, India
| | - Sonu Sama
- Himalayan Institute of Medical Sciences, Department of Critical Care, Uttarakhand, India
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Damoun N, Amekran Y, Taiek N, Hangouche AJE. Heart rate variability measurement and influencing factors: Towards the standardization of methodology. Glob Cardiol Sci Pract 2024; 2024:e202435. [PMID: 39351472 PMCID: PMC11439429 DOI: 10.21542/gcsp.2024.35] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Accepted: 07/23/2024] [Indexed: 10/04/2024] Open
Abstract
Heart rate variability (HRV) is widely recognized as an effective and valuable tool for evaluating cardiac autonomic modulation. However, various factors can influence HRV before and during assessment, complicating the interpretation and comparability of results. This review outlines the different factors affecting HRV and underscores the importance of considering them to ensure consistent and reliable HRV outcomes. Key influencing factors are categorized into physiological (e.g., age, gender, genetics), lifestyle (e.g., physical activity, alcohol use, smoking, drugs, diet), environmental (e.g., time of day, temperature, noise), and methodological (e.g., body position, recording duration, and respiration) domains. Knowing these factors can help researchers and physicians gain a better understanding of HRV and improve the interpretation of their findings. Consequently, this can lead to the development of standardized methods for consistently assessing and interpreting HRV measures in clinical practice.
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Affiliation(s)
- Narjisse Damoun
- Department of Physiology, Faculty of Medicine and Pharmacy of Tangier, Abdelmalek Essaadi University, Tangier, Morocco
| | - Youssra Amekran
- Department of Physiology, Faculty of Medicine and Pharmacy of Tangier, Abdelmalek Essaadi University, Tangier, Morocco
| | - Nora Taiek
- Department of Physiology, Faculty of Medicine and Pharmacy of Tangier, Abdelmalek Essaadi University, Tangier, Morocco
| | - Abdelkader Jalil El Hangouche
- Department of Physiology, Faculty of Medicine and Pharmacy of Tangier, Abdelmalek Essaadi University, Tangier, Morocco
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3
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Menard V, Barrero A, Lachard T, Robinault L, Li L, Schnell F, Carré F, Le Douairon Lahaye S. Cardiac function and autonomic cardiac function during a multi-stage cycling event: a brief report. Front Sports Act Living 2024; 6:1356577. [PMID: 39135608 PMCID: PMC11317233 DOI: 10.3389/fspor.2024.1356577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 07/16/2024] [Indexed: 08/15/2024] Open
Abstract
Introduction Prolonged and repeated exercise performed during an ultra-endurance event can induce general and cardiac fatigue known as exercise-induced cardiac fatigue. Our objective was to find a possible correlation between the cardiac function and the autonomic cardiac function. Methods During a multistage ultra-endurance event, a female well-trained cyclist underwent daily rest echocardiography and heart rate variability measurements to assess the cardiac function and the cardiac autonomic function. Results The athlete completed 3,345 km at 65% of her maximum heart rate and 39% of her maximum aerobic power. A progressive improvement of the systolic function for both the left ventricle and the right ventricle was observed during the event. Discussion Alterations were observed on the cardiac autonomic function with an imbalance between sympathetic and parasympathetic, but there was no sign of a significant correlation between the cardiac function and the autonomic cardiac function and no signs of cardiac fatigue either. Further analysis should be performed on a larger sample to confirm the obtained results.
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Affiliation(s)
| | - Anna Barrero
- M2S Laboratory, University of Rennes 2, Rennes, France
| | - Thibault Lachard
- Department of Sports Medicine, University Hospital of Rennes, Rennes, France
| | | | - Lingxia Li
- M2S Laboratory, University of Rennes 2, Rennes, France
| | - Frederic Schnell
- Department of Sports Medicine, University Hospital of Rennes, Rennes, France
- Center of Clinical Investigation of Rennes, CIC-CIT INSERM 1414, Rennes, France
- INSERM, LTSI-UMR1099, University of Rennes 1, Rennes, France
| | - François Carré
- Department of Sports Medicine, University Hospital of Rennes, Rennes, France
- INSERM, LTSI-UMR1099, University of Rennes 1, Rennes, France
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Mather M. The emotion paradox in the aging body and brain. Ann N Y Acad Sci 2024; 1536:13-41. [PMID: 38676452 DOI: 10.1111/nyas.15138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/29/2024]
Abstract
With age, parasympathetic activity decreases, while sympathetic activity increases. Thus, the typical older adult has low heart rate variability (HRV) and high noradrenaline levels. Younger adults with this physiological profile tend to be unhappy and stressed. Yet, with age, emotional experience tends to improve. Why does older adults' emotional well-being not suffer as their HRV decreases? To address this apparent paradox, I present the autonomic compensation model. In this model, failing organs, the initial phases of Alzheimer's pathology, and other age-related diseases trigger noradrenergic hyperactivity. To compensate, older brains increase autonomic regulatory activity in the pregenual prefrontal cortex (PFC). Age-related declines in nerve conduction reduce the ability of the pregenual PFC to reduce hyperactive noradrenergic activity and increase peripheral HRV. But these pregenual PFC autonomic compensation efforts have a significant impact in the brain, where they bias processing in favor of stimuli that tend to increase parasympathetic activity (e.g., stimuli that increase feelings of safety) and against stimuli that tend to increase sympathetic activity (e.g., threatening stimuli). In summary, the autonomic compensation model posits that age-related chronic sympathetic/noradrenergic hyperactivity stimulates regulatory attempts that have the side effect of enhancing emotional well-being.
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Affiliation(s)
- Mara Mather
- Leonard Davis School of Gerontology, Department of Psychology, and Department of Biomedical Engineering, University of Southern California, Los Angeles, California, USA
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5
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Rietz M, Schmidt-Persson J, Gillies Banke Rasmussen M, Overgaard Sørensen S, Rath Mortensen S, Brage S, Lund Kristensen P, Grøntved A, Brønd JC. Facilitating ambulatory heart rate variability analysis using accelerometry-based classifications of body position and self-reported sleep. Physiol Meas 2024; 45:055016. [PMID: 38684167 DOI: 10.1088/1361-6579/ad450d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Accepted: 04/29/2024] [Indexed: 05/02/2024]
Abstract
Objective.This study aimed to examine differences in heart rate variability (HRV) across accelerometer-derived position, self-reported sleep, and different summary measures (sleep, 24 h HRV) in free-living settings using open-source methodology.Approach.HRV is a biomarker of autonomic activity. As it is strongly affected by factors such as physical behaviour, stress, and sleep, ambulatory HRV analysis is challenging. Beat-to-beat heart rate (HR) and accelerometry data were collected using single-lead electrocardiography and trunk- and thigh-worn accelerometers among 160 adults participating in the SCREENS trial. HR files were processed and analysed in the RHRV R package. Start time and duration spent in physical behaviours were extracted, and time and frequency analysis for each episode was performed. Differences in HRV estimates across activities were compared using linear mixed models adjusted for age and sex with subject ID as random effect. Next, repeated-measures Bland-Altman analysis was used to compare 24 h RMSSD estimates to HRV during self-reported sleep. Sensitivity analyses evaluated the accuracy of the methodology, and the approach of employing accelerometer-determined episodes to examine activity-independent HRV was described.Main results.HRV was estimated for 31 289 episodes in 160 individuals (53.1% female) at a mean age of 41.4 years. Significant differences in HR and most markers of HRV were found across positions [Mean differences RMSSD: Sitting (Reference) - Standing (-2.63 ms) or Lying (4.53 ms)]. Moreover, ambulatory HRV differed significantly across sleep status, and poor agreement between 24 h estimates compared to sleep HRV was detected. Sensitivity analyses confirmed that removing the first and last 30 s of accelerometry-determined HR episodes was an accurate strategy to account for orthostatic effects.Significance.Ambulatory HRV differed significantly across accelerometry-assigned positions and sleep. The proposed approach for free-living HRV analysis may be an effective strategy to remove confounding by physical activity when the aim is to monitor general autonomic stress.
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Affiliation(s)
- Marlene Rietz
- Center for Research in Childhood Health, Research Unit for Exercise Epidemiology, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense M, Denmark
- Division of Clinical Physiology, Department for Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Jesper Schmidt-Persson
- Center for Research in Childhood Health, Research Unit for Exercise Epidemiology, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense M, Denmark
- Applied Research in Child and Adult Health, Department of Midwifery, Physiotherapy, Occupational Therapy, and Psychomotor Therapy, University College Copenhagen, Copenhagen, Denmark
| | - Martin Gillies Banke Rasmussen
- Center for Research in Childhood Health, Research Unit for Exercise Epidemiology, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense M, Denmark
- Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark
| | - Sarah Overgaard Sørensen
- Center for Research in Childhood Health, Research Unit for Exercise Epidemiology, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense M, Denmark
| | - Sofie Rath Mortensen
- Center for Research in Childhood Health, Research Unit for Exercise Epidemiology, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense M, Denmark
- The Research and Implementation Unit PROgrez, Department of Physiotherapy and Occupational Therapy, Naestved-Slagelse-Ringsted Hospitals, Region Zealand, Denmark
| | - Søren Brage
- Center for Research in Childhood Health, Research Unit for Exercise Epidemiology, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense M, Denmark
- MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Peter Lund Kristensen
- Center for Research in Childhood Health, Research Unit for Exercise Epidemiology, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense M, Denmark
| | - Anders Grøntved
- Center for Research in Childhood Health, Research Unit for Exercise Epidemiology, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense M, Denmark
| | - Jan Christian Brønd
- Center for Research in Childhood Health, Research Unit for Exercise Epidemiology, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense M, Denmark
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Veeneman RR, Vermeulen JM, Bialas M, Bhamidipati AK, Abdellaoui A, Munafò MR, Denys D, Bezzina CR, Verweij KJH, Tadros R, Treur JL. Mental illness and cardiovascular health: observational and polygenic score analyses in a population-based cohort study. Psychol Med 2024; 54:931-939. [PMID: 37706306 DOI: 10.1017/s0033291723002635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/15/2023]
Abstract
BACKGROUND Individuals with serious mental illness have a markedly shorter life expectancy. A major contributor to premature death is cardiovascular disease (CVD). We investigated associations of (genetic liability for) depressive disorder, bipolar disorder and schizophrenia with a range of CVD traits and examined to what degree these were driven by important confounders. METHODS We included participants of the Dutch Lifelines cohort (N = 147 337) with information on self-reported lifetime diagnosis of depressive disorder, bipolar disorder, or schizophrenia and CVD traits. Employing linear mixed-effects models, we examined associations between mental illness diagnoses and CVD, correcting for psychotropic medication, demographic and lifestyle factors. In a subsample (N = 73 965), we repeated these analyses using polygenic scores (PGSs) for the three mental illnesses. RESULTS There was strong evidence that depressive disorder diagnosis is associated with increased arrhythmia and atherosclerosis risk and lower heart rate variability, even after confounder adjustment. Positive associations were also found for the depression PGSs with arrhythmia and atherosclerosis. Bipolar disorder was associated with a higher risk of nearly all CVD traits, though most diminished after adjustment. The bipolar disorder PGSs did not show any associations. While the schizophrenia PGSs was associated with increased arrhythmia risk and lower heart rate variability, schizophrenia diagnosis was not. All mental illness diagnoses were associated with lower blood pressure and a lower risk of hypertension. CONCLUSIONS Our study shows widespread associations of (genetic liability to) mental illness (primarily depressive disorder) with CVD, even after confounder adjustment. Future research should focus on clarifying potential causal pathways between mental illness and CVD.
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Affiliation(s)
- R R Veeneman
- Genetic Epidemiology, Department of Psychiatry, Amsterdam UMC Location University of Amsterdam, Amsterdam, the Netherlands
| | - J M Vermeulen
- Department of Psychiatry, Amsterdam UMC Location University of Amsterdam, Amsterdam, the Netherlands
| | - M Bialas
- Genetic Epidemiology, Department of Psychiatry, Amsterdam UMC Location University of Amsterdam, Amsterdam, the Netherlands
| | - A K Bhamidipati
- Genetic Epidemiology, Department of Psychiatry, Amsterdam UMC Location University of Amsterdam, Amsterdam, the Netherlands
| | - A Abdellaoui
- Genetic Epidemiology, Department of Psychiatry, Amsterdam UMC Location University of Amsterdam, Amsterdam, the Netherlands
| | - M R Munafò
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- School of Psychological Science, University of Bristol, Bristol, UK
| | - D Denys
- Department of Psychiatry, Amsterdam UMC Location University of Amsterdam, Amsterdam, the Netherlands
| | - C R Bezzina
- Department of Clinical and Experimental Cardiology, Heart Center, Amsterdam Cardiovascular Sciences, University of Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - K J H Verweij
- Genetic Epidemiology, Department of Psychiatry, Amsterdam UMC Location University of Amsterdam, Amsterdam, the Netherlands
| | - R Tadros
- Cardiovascular Genetics Center, Montreal Heart Institute, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada
| | - J L Treur
- Genetic Epidemiology, Department of Psychiatry, Amsterdam UMC Location University of Amsterdam, Amsterdam, the Netherlands
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Mograss M, Frimpong E, Vilcourt F, Chouchou F, Zvionow T, Dang-Vu TT. The effects of acute exercise and a nap on heart rate variability and memory in young sedentary adults. Psychophysiology 2024; 61:e14454. [PMID: 37855092 DOI: 10.1111/psyp.14454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 08/29/2023] [Accepted: 09/20/2023] [Indexed: 10/20/2023]
Abstract
Recent evidence suggests that the autonomic nervous system can contribute to memory consolidation during sleep. Whether fluctuations in cardiac autonomic activity during sleep following physical exercise contribute to the process of memory consolidation has not been studied. We assessed the effects of a non-rapid eye movement (NREM) nap following acute exercise on cardiac autonomic regulation assessed with heart rate variability (HRV) to examine if HRV influences memory processes. Fifty-six (59% female) healthy young adults (23.14 ± 3.74 years) were randomly allocated to either the exercise plus nap (ExNap, n = 27) or nap alone (NoExNap, n = 29) groups. The ExNap group performed a 40-minute moderate-intensity cycling, while the NoExNap group was sedentary prior to learning 45 neutral pictures for a later test. Subsequently, participants underwent a 60-minute NREM nap while measuring EKG, followed by a visual recognition test. Our results indicated that heart rate did not significantly differ between the groups (p = .243), whereas vagally mediated HRV indices were lower in the ExNap group compared to the NoExNap group (p < .05). There were no significant differences in sleep variables between the groups (p > .05). Recognition accuracy was significantly higher in the ExNap group than in the NoExNap group (p = .027). In addition, the recognition accuracy of the ExNap group was negatively associated with vagally mediated HRV (p < .05). Pre-nap acute exercise appears to attenuate parasympathetic activity and to alter the relationship between memory and cardiac autonomic activity.
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Affiliation(s)
- Melodee Mograss
- Sleep, Cognition and Neuroimaging Laboratory, Concordia University, Montreal, Quebec, Canada
- Department of Health, Kinesiology & Applied Physiology, Concordia University, Montreal, Quebec, Canada
- Department of Psychology, Concordia University, Montreal, Quebec, Canada
- PERFORM Centre, Concordia University, Montreal, Quebec, Canada
| | - Emmanuel Frimpong
- Sleep, Cognition and Neuroimaging Laboratory, Concordia University, Montreal, Quebec, Canada
- Department of Health, Kinesiology & Applied Physiology, Concordia University, Montreal, Quebec, Canada
- PERFORM Centre, Concordia University, Montreal, Quebec, Canada
- Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Montreal, Quebec, Canada
| | - Franck Vilcourt
- IRISSE Laboratory (EA4075), UFR SHE, University of La Réunion, Le Tampon, France
| | - Florian Chouchou
- IRISSE Laboratory (EA4075), UFR SHE, University of La Réunion, Le Tampon, France
| | - Tehila Zvionow
- Sleep, Cognition and Neuroimaging Laboratory, Concordia University, Montreal, Quebec, Canada
- Department of Health, Kinesiology & Applied Physiology, Concordia University, Montreal, Quebec, Canada
| | - Thien Thanh Dang-Vu
- Sleep, Cognition and Neuroimaging Laboratory, Concordia University, Montreal, Quebec, Canada
- Department of Health, Kinesiology & Applied Physiology, Concordia University, Montreal, Quebec, Canada
- PERFORM Centre, Concordia University, Montreal, Quebec, Canada
- Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Montreal, Quebec, Canada
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8
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Penninx BW. Awareness of cardiac autonomic dysregulation by antidepressants. Eur Neuropsychopharmacol 2024; 78:93-94. [PMID: 37730487 DOI: 10.1016/j.euroneuro.2023.09.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 09/03/2023] [Accepted: 09/06/2023] [Indexed: 09/22/2023]
Affiliation(s)
- Brenda Wjh Penninx
- Department of psychiatry, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands.
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9
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Björkman K, Valkama M, Bruun E, Pätsi P, Kulmala P, Tulppo MP, Leskinen M, Ojaniemi M. Heart Rate and Heart Rate Variability in Healthy Preterm-Born Young Adults and Association with Vitamin D: A Wearable Device Assessment. J Clin Med 2023; 12:7504. [PMID: 38137574 PMCID: PMC10743414 DOI: 10.3390/jcm12247504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 11/26/2023] [Accepted: 12/02/2023] [Indexed: 12/24/2023] Open
Abstract
Prematurity has been associated with impaired parasympathetic cardiac regulation later in life. Changes in heart rate (HR) and heart rate variability (HRV) may indicate a risk for future cardiac dysfunction. The putative role of Vitamin D on cardiac autonomic function in individuals born preterm (PT) remains unknown. This study involves monitoring autonomic cardiac regulation and Vitamin D concentrations in 30 PT and 16 full-term (FT) young adults in a free-living context. The PT subjects were born between 1994 and 1997 at Oulu University Hospital. The inclusion criteria were (1) being born ≤ 32 gestation weeks or (2) being born < 34 gestation weeks with a birth weight under 1500 g. Participants wore an Oura ring sleep tracer, a smart ring device, for 2 weeks to monitor cardiac autonomic function. Parameters related to autonomic cardiac regulation, lowest nighttime resting HR, and the root mean square of successive differences (RMSSD) to describe HRV were collected. PT males exhibited a tendency toward lower RMSSD (71.8 ± 22.6) compared to FT males (95.63 ± 29.0; p = 0.10). Female participants had a similar mean RMSSD in the FT and PT groups at 72.04 ± 33.2 and 74.0 ± 35.0, respectively. Serum 25-hydroxyvitamin D concentration did not correlate with cardiac autonomic function parameters. When assessing the lowest resting nighttime HRs and HRVs in a long-term, real-world context, healthy female PT young adults performed similarly to their FT peers. In contrast, the present study's results suggest that male PT young adults exhibit impaired autonomic cardiac function, potentially putting them at risk for cardiovascular disease later in adulthood.
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Affiliation(s)
- Krista Björkman
- Department of Pediatrics, Oulu University Hospital, Wellbeing Services County of North Ostrobothnia, Pohde, 90220 Oulu, Finland
- Research Unit of Clinical Medicine, University of Oulu, 90014 Oulu, Finland
- Medical Research Center, University of Oulu, Oulu University Hospital, Wellbeing Services County of North Ostrobothnia, 90014 Oulu, Finland;
| | - Marita Valkama
- Department of Pediatrics, Oulu University Hospital, Wellbeing Services County of North Ostrobothnia, Pohde, 90220 Oulu, Finland
- Research Unit of Clinical Medicine, University of Oulu, 90014 Oulu, Finland
- Medical Research Center, University of Oulu, Oulu University Hospital, Wellbeing Services County of North Ostrobothnia, 90014 Oulu, Finland;
| | - Ella Bruun
- Department of Pediatrics, Oulu University Hospital, Wellbeing Services County of North Ostrobothnia, Pohde, 90220 Oulu, Finland
- Research Unit of Clinical Medicine, University of Oulu, 90014 Oulu, Finland
- Medical Research Center, University of Oulu, Oulu University Hospital, Wellbeing Services County of North Ostrobothnia, 90014 Oulu, Finland;
| | - Pauli Pätsi
- Department of Pediatrics, Oulu University Hospital, Wellbeing Services County of North Ostrobothnia, Pohde, 90220 Oulu, Finland
- Research Unit of Clinical Medicine, University of Oulu, 90014 Oulu, Finland
- Medical Research Center, University of Oulu, Oulu University Hospital, Wellbeing Services County of North Ostrobothnia, 90014 Oulu, Finland;
| | - Petri Kulmala
- Department of Pediatrics, Oulu University Hospital, Wellbeing Services County of North Ostrobothnia, Pohde, 90220 Oulu, Finland
- Research Unit of Clinical Medicine, University of Oulu, 90014 Oulu, Finland
- Medical Research Center, University of Oulu, Oulu University Hospital, Wellbeing Services County of North Ostrobothnia, 90014 Oulu, Finland;
- Faculty of Medicine, University of Oulu, 90014 Oulu, Finland
| | - Mikko P. Tulppo
- Medical Research Center, University of Oulu, Oulu University Hospital, Wellbeing Services County of North Ostrobothnia, 90014 Oulu, Finland;
- Research Unit of Biomedicine and Internal Medicine, University of Oulu, 90014 Oulu, Finland
| | - Markku Leskinen
- Department of Pediatrics, Oulu University Hospital, Wellbeing Services County of North Ostrobothnia, Pohde, 90220 Oulu, Finland
- Research Unit of Clinical Medicine, University of Oulu, 90014 Oulu, Finland
- Medical Research Center, University of Oulu, Oulu University Hospital, Wellbeing Services County of North Ostrobothnia, 90014 Oulu, Finland;
| | - Marja Ojaniemi
- Department of Pediatrics, Oulu University Hospital, Wellbeing Services County of North Ostrobothnia, Pohde, 90220 Oulu, Finland
- Research Unit of Clinical Medicine, University of Oulu, 90014 Oulu, Finland
- Medical Research Center, University of Oulu, Oulu University Hospital, Wellbeing Services County of North Ostrobothnia, 90014 Oulu, Finland;
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10
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Li X, Song Y, Wang H, Su X, Wang M, Li J, Ren Z, Zhong D, Huang Z. Evaluation of measurement accuracy of wearable devices for heart rate variability. iScience 2023; 26:108128. [PMID: 37867933 PMCID: PMC10587522 DOI: 10.1016/j.isci.2023.108128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 07/29/2023] [Accepted: 10/01/2023] [Indexed: 10/24/2023] Open
Abstract
This paper proposed a method based on heart rate variability (HRV) for evaluating the accuracy of wearable devices in measuring heart rate. HRV refers to the variation in time intervals between successive heartbeats, widely used in many fields such as clinical and sports fields. Wearable devices such as Electrocardiogram (ECG) electrode patches have gained popularity due to their portability and ease of use. However, they can be prone to measurement interference caused by environmental noise, human respiration, etc. The proposed method consists of four main components: selection of "gold standard measurement devices", identification of HRV measurement metrics, construction of an HRV evaluation framework, and quantification of measurement errors. The method is validated through simulated experiments using ECG patches. The evaluation framework and quantification model established in this method have significant implications in establishment of industry standards and diagnosis of diseases in clinical practice.
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Affiliation(s)
- Xiangchen Li
- China Institute of Sport Science, Beijing 100061, China
| | - Yuting Song
- School of Nursing, Qingdao University, Qingdao 266021, China
| | - Huang Wang
- China Institute of Sport Science, Beijing 100061, China
| | - Xinyu Su
- School of Sport Science, Beijing Sport University, Beijing 100084, China
| | - Mengyao Wang
- School of Microelectronics and Communication Engineering, Chongqing University, Chongqing 400044, China
| | - Jing Li
- Bioengineering College, Chongqing University, Chongqing 400044, China
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518063, China
| | - Zhiqiang Ren
- National Sports Technology Innovation Center Beijing Co., Ltd. Beijing 100061, China
| | - Daidi Zhong
- Bioengineering College, Chongqing University, Chongqing 400044, China
| | - Zhiyong Huang
- School of Microelectronics and Communication Engineering, Chongqing University, Chongqing 400044, China
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11
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Tegegne BS, Said MA, Ani A, van Roon AM, Shah S, de Geus EJC, van der Harst P, Riese H, Nolte IM, Snieder H. Phenotypic but not genetically predicted heart rate variability associated with all-cause mortality. Commun Biol 2023; 6:1013. [PMID: 37803156 PMCID: PMC10558565 DOI: 10.1038/s42003-023-05376-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 09/19/2023] [Indexed: 10/08/2023] Open
Abstract
Low heart rate variability (HRV) has been widely reported as a predictor for increased mortality. However, the molecular mechanisms are poorly understood. Therefore, this study aimed to identify novel genetic loci associated with HRV and assess the association of phenotypic HRV and genetically predicted HRV with mortality. In a GWAS of 46,075 European ancestry individuals from UK biobank, we identified 17 independent genome-wide significant genetic variants in 16 loci associated with HRV traits. Notably, eight of these loci (RNF220, GNB4, LINCR-002, KLHL3/HNRNPA0, CHRM2, KCNJ5, MED13L, and C160rf72) have not been reported previously. In a prospective phenotypic relationship between HRV and mortality during a median follow-up of seven years, individuals with lower HRV had higher risk of dying from any cause. Genetically predicted HRV, as determined by the genetic risk scores, was not associated with mortality. To the best of our knowledge, the findings provide novel biological insights into the mechanisms underlying HRV. These results also underline the role of the cardiac autonomic nervous system, as indexed by HRV, in predicting mortality.
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Affiliation(s)
- Balewgizie S Tegegne
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - M Abdullah Said
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Alireza Ani
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- Department of Bioinformatics, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Arie M van Roon
- Department of Vascular Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Sonia Shah
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
- Institute of Cardiovascular Science, University College London, London, UK
| | - Eco J C de Geus
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Pim van der Harst
- Department of Cardiology, Division of Heart and Lungs, University Medical Center Utrecht, University of Utrecht, Utrecht, The Netherlands
| | - Harriëtte Riese
- Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Ilja M Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
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12
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Kim J, Kim JJ, Seok JH, Kim E, Park JY, Kim HE, Oh J. Association and interaction between clinician-rated measures of depression and anxiety with heart rate variability in elderly patients with psychiatric disorders. Heliyon 2023; 9:e20740. [PMID: 37860509 PMCID: PMC10582342 DOI: 10.1016/j.heliyon.2023.e20740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 09/30/2023] [Accepted: 10/05/2023] [Indexed: 10/21/2023] Open
Abstract
Background Older adults are vulnerable to comorbid depression and anxiety symptoms; however, these conditions are widely underrecognized and often untreated. Understanding their combined manifestation using objective measurements, such as clinician-rated scales and heart rate variability (HRV), can help refine the diagnosis and select a treatment strategy for geriatric patients. Methods This study included patients over 65 years who were mainly diagnosed with either category of depressive or anxiety disorders from the psychiatric outpatient clinic in a university hospital. A total of 114 patients met eligibility with a completed collection of electrocardiograms, the Hamilton Depression Rating Scale (HDRS; clinician-rated depression), and the Hamilton Anxiety Scale (HAS; clinician-rated anxiety) to assess the severity of symptoms. Both main and interaction effects between HDRS and HAS on HRV parameters were examined. Results Significant interaction effects between clinician-rated depression and anxiety (HDRS × HAS) on HRV reduction in frequency parameters (i.e., nuLF, nuHF, LF/HF ratio) were found, which consistently indicated autonomic nervous system dysregulation. Findings imply that HRV could reflect synergistic effects of comorbid depressive and anxiety symptoms, perhaps due to the amplification of individual symptoms in geriatric patients. Conclusions The results imply that using objective measurements can improve diagnostic accuracy, particularly in geriatric patients with comorbid status, and the normalization of the autonomic nervous system might be a candidate target for prevention and treatment.
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Affiliation(s)
- Joonbeom Kim
- Institute of Behavioral Sciences in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
- Interdisciplinary Graduate Program in Social Welfare Policy, Yonsei University, Seoul, Republic of Korea
| | - Jae-Jin Kim
- Institute of Behavioral Sciences in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
- Department of Psychiatry, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jeong-Ho Seok
- Institute of Behavioral Sciences in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
- Department of Psychiatry, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Eunjoo Kim
- Institute of Behavioral Sciences in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
- Department of Psychiatry, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jin Young Park
- Institute of Behavioral Sciences in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
- Department of Psychiatry, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Republic of Korea
| | - Hesun Erin Kim
- Institute of Behavioral Sciences in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jooyoung Oh
- Institute of Behavioral Sciences in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
- Department of Psychiatry, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
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13
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Collard D, Velde LVD, Stegehuis VE, Delewi R, Beijk MAM, Zijlstra IJAJ, de Winter RJ, Vogt L, van den Born BJH. Assessment of renal sympathetic control using invasive pressure and flow velocity measurements in humans. Am J Physiol Renal Physiol 2023; 325:F263-F270. [PMID: 37382495 DOI: 10.1152/ajprenal.00031.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 06/21/2023] [Accepted: 06/22/2023] [Indexed: 06/30/2023] Open
Abstract
Renal sympathetic innervation is important in the control of renal and systemic hemodynamics and is a target for pharmacological and catheter-based therapies. The effect of a physiological sympathetic stimulus using static handgrip exercise on renal hemodynamics and intraglomerular pressure in humans is unknown. We recorded renal arterial pressure and flow velocity in patients with a clinical indication for coronary or peripheral angiography using a sensor-equipped guidewire during baseline, handgrip, rest, and hyperemia following intrarenal dopamine (30 μg/kg). Changes in perfusion pressure were expressed as the change in mean arterial pressure, and changes in flow were expressed as a percentage with respect to baseline. Intraglomerular pressure was estimated using a Windkessel model. A total of 18 patients (61% male and 39% female) with a median age of 57 yr (range: 27-85 yr) with successful measurements were included. During static handgrip, renal arterial pressure increased by 15.2 mmHg (range: 4.2-53.0 mmHg), whereas flow decreased by 11.2%, but with a large variation between individuals (range: -13.4 to 49.8). Intraglomerular pressure increased by 4.2 mmHg (range: -3.9 to 22.1 mmHg). Flow velocity under resting conditions remained stable, with a median of 100.6% (range: 82.3%-114.6%) compared with baseline. During hyperemia, maximal flow was 180% (range: 111%-281%), whereas intraglomerular pressure decreased by 9.6 mmHg (interquartile range: 4.8 to 13.9 mmHg). Changes in renal pressure and flow during handgrip exercise were significantly correlated (ρ = -0.68, P = 0.002). Measurement of renal arterial pressure and flow velocity during handgrip exercise allows the identification of patients with higher and lower sympathetic control of renal perfusion. This suggests that hemodynamic measurements may be useful to assess the response to therapeutic interventions aimed at altering renal sympathetic control.NEW & NOTEWORTHY Renal sympathetic innervation is important in the homeostasis of systemic and renal hemodynamics. We showed that renal arterial pressure significantly increased and that flow decreased during static handgrip exercise using direct renal arterial pressure and flow measurements in humans, but with a large difference between individuals. These findings may be useful for future studies aimed to assess the effect of interventions that influence renal sympathetic control.
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Affiliation(s)
- Didier Collard
- Department of Internal Medicine, Section Vascular Medicine, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Lennart van de Velde
- Department of Internal Medicine, Section Vascular Medicine, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Faculty of Science and Technology, Technical Medical Centre, Multi-Modality Medical Imaging Group, University of Twente, Enschede, The Netherlands
| | - Valerie E Stegehuis
- Heart Center, Department of Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Ronak Delewi
- Heart Center, Department of Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Marcel A M Beijk
- Heart Center, Department of Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - IJsbrand A J Zijlstra
- Department of Radiology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Robbert J de Winter
- Heart Center, Department of Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Liffert Vogt
- Department of Internal Medicine, Section Nephrology, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Bert-Jan H van den Born
- Department of Internal Medicine, Section Vascular Medicine, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
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14
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Collard D, Velde LVD, Stegehuis VE, Delewi R, Beijk MAM, Zijlstra IJAJ, de Winter RJ, Vogt L, van den Born BJH. Assessment of renal sympathetic control using invasive pressure and flow velocity measurements in humans. Am J Physiol Renal Physiol 2023; 325:F263-F270. [DOI: https:/doi.org/10.1152/ajprenal.00031.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 06/21/2023] [Accepted: 06/22/2023] [Indexed: 11/30/2023] Open
Abstract
Renal sympathetic innervation is important in the homeostasis of systemic and renal hemodynamics. We showed that renal arterial pressure significantly increased and that flow decreased during static handgrip exercise using direct renal arterial pressure and flow measurements in humans, but with a large difference between individuals. These findings may be useful for future studies aimed to assess the effect of interventions that influence renal sympathetic control.
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Affiliation(s)
- Didier Collard
- Department of Internal Medicine, Section Vascular Medicine, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Lennart van de Velde
- Department of Internal Medicine, Section Vascular Medicine, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Faculty of Science and Technology, Technical Medical Centre, Multi-Modality Medical Imaging Group, University of Twente, Enschede, The Netherlands
| | - Valerie E. Stegehuis
- Heart Center, Department of Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Ronak Delewi
- Heart Center, Department of Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Marcel A. M. Beijk
- Heart Center, Department of Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | | | - Robbert J. de Winter
- Heart Center, Department of Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Liffert Vogt
- Department of Internal Medicine, Section Nephrology, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Bert-Jan H. van den Born
- Department of Internal Medicine, Section Vascular Medicine, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
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15
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Zhang T, Zhou L, Wei Y, Tang X, Gao Y, Hu Y, Xu L, Chen T, Liu H, Li C, Lu Z, Wang J. Heart rate variability in patients with psychiatric disorders from adolescence to adulthood. Gen Hosp Psychiatry 2023; 84:179-187. [PMID: 37562346 DOI: 10.1016/j.genhosppsych.2023.08.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 07/28/2023] [Accepted: 08/02/2023] [Indexed: 08/12/2023]
Abstract
OBJECTIVE Age is associated with changes in autonomic nervous system activity. These changes are assessed using heart rate variability(HRV) indicators; however, the effect of age on HRV in patients with psychiatric disorders remains unclear. Our study aimed to explore this effect and determine its variance across different lifespans. METHOD Consecutive patients(N = 3315), comprising 1833 patients with psychotic disorders, 1040 with mood disorders, and 442 with anxiety disorders, were recruited. The patients were divided into four age groups: adolescence(10-24 years), early adulthood(25-39 years), middle adulthood(40-59 years), and late adulthood(60+ years). HRV indicators were measured during a 5-min rest period. RESULTS The heart rate and HRV indices were higher in the adolescent and early adulthood groups than they were in the middle and late adulthood groups(increased HRV is beneficial for health, while reduced HRV is detrimental). Age and all the HRV indices were negatively correlated(r-values 0.153-0.350, p < 0.001), with these correlation patterns being more evident in the adolescent and early adulthood groups than in the middle and late adulthood groups. Stratified by sex, the low-frequency/high-frequency ratio was higher in men than in women across most age groups(p < 0.05), except the late adulthood group(p = 0.085). Stratified by diagnosis, most HRV variables(except very low-frequency) were lower in the psychotic disorder group than they were in the mood and anxiety disorder groups, especially in middle and late adulthood patients. After adjusting for confounders, the HRV variables were significantly associated with age, while older age was associated with lower HRV. CONCLUSIONS These results indicate that the substantial reduction in HRV with age in patients with psychiatric disorders. The association remains significant after correction for sex, heart rate, and diagnoses; this may prove useful to clinical practice and further research.
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Affiliation(s)
- TianHong Zhang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, China.
| | - LinLin Zhou
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, China
| | - YanYan Wei
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, China
| | - XiaoChen Tang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, China
| | - YuQing Gao
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, China
| | - YeGang Hu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, China
| | - LiHua Xu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, China
| | - Tao Chen
- Big Data Research Lab, University of Waterloo, Ontario, Canada; Labor and Worklife Program, Harvard University, MA, United States
| | - HaiChun Liu
- Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China
| | - ChunBo Li
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, China
| | - Zheng Lu
- Department of Psychiatry, Tongji Hospital, Tongji University School of Medicine, 389 Xin Cun Road, Shanghai 200065, China
| | - JiJun Wang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, China; Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Science, China; Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai, China
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16
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Nevels TL, Wirth MD, Ginsberg JP, McLain AC, Burch JB. The role of sleep and heart rate variability in metabolic syndrome: evidence from the Midlife in the United States study. Sleep 2023; 46:zsad013. [PMID: 36727300 PMCID: PMC10171632 DOI: 10.1093/sleep/zsad013] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 12/11/2022] [Indexed: 02/03/2023] Open
Abstract
STUDY OBJECTIVES Poor sleep and autonomic dysregulation can both disrupt metabolic processes. This study examined the individual and combined effects of poor sleep and reduced heart rate variability (HRV) on metabolic syndrome among 966 participants in the Midlife in the United States II (MIDUS II) study. METHODS Self-reported sleep was assessed using the Pittsburgh Sleep Quality Index (PSQI). HRV was acquired from 11-minute resting heart rate recordings. Spearman correlations, general linear regression, and logistic regression models were used to examine the study hypotheses. RESULTS Poor sleep quality was associated with metabolic syndrome when global PSQI scores were evaluated as a continuous (odds ratio [OR]: 1.07, 95% confidence interval [CI]: 1.03 to 1.11) or categorical measure (cutoff > 5, OR: 1.58, 95% CI: 1.19 to 2.10), after adjustment for confounding. There also was an association between reduced HRV and metabolic syndrome (ln [HF-HRV] OR: 0.89, 95% CI: 0.80 to 0.99; ln [LF-HRV] OR: 0.82, 95% CI: 0.72 to 0.92; ln [SDRR] OR: 0.59, 95% CI: 0.43 to 0.79; ln [RMSSD] OR: 0.75, 95% CI: 0.60 to 0.94). When the combined effects of poor sleep and low HRV were examined, the association with metabolic syndrome was further strengthened relative to those with normal sleep and HRV. CONCLUSIONS To the best of the author's knowledge, this is the first study to suggest a combined effect of poor sleep and low HRV on the odds of metabolic syndrome.
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Affiliation(s)
- Torrance L Nevels
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
- Columbia Veterans Affairs Health Care System, Columbia, SC, USA
- U.S. Military Interservice Physician Assistant Program, MEDCoE, Joint Base San Antonio-Fort Sam Houston, TX, USA
| | - Michael D Wirth
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
- College of Nursing, University of South Carolina, Columbia, SC, USA
| | - J P Ginsberg
- Department of Pathology, Microbiology, and Immunology, Saybrook University, Pasadena, CA, USA
| | - Alexander C McLain
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - James B Burch
- Department of Family Medicine and Population Health, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA
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17
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Raju S, Woo H, Koehler K, Fawzy A, Liu C, Putcha N, Balasubramanian A, Peng RD, Lin CT, Lemoine C, Wineke J, Berger RD, Hansel NN, McCormack MC. Indoor Air Pollution and Impaired Cardiac Autonomic Function in Chronic Obstructive Pulmonary Disease. Am J Respir Crit Care Med 2023; 207:721-730. [PMID: 36288428 PMCID: PMC10037475 DOI: 10.1164/rccm.202203-0523oc] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 10/26/2022] [Indexed: 11/16/2022] Open
Abstract
Rationale: Indoor air pollution represents a modifiable risk factor for respiratory morbidity in chronic obstructive pulmonary disease (COPD). The effects of indoor air pollution, as well as the impact of interventions to improve indoor air quality, on cardiovascular morbidity in COPD remain unknown. Objectives: To determine the association between indoor particulate matter (PM) and heart rate variability (HRV), a measure of cardiac autonomic function tied to cardiovascular morbidity and mortality, as well as the impact of household air purifiers on HRV. Methods: Former smokers with moderate-severe COPD were recruited from a 6-month randomized controlled trial of a portable air cleaner intervention to undergo paired assessment of both in-home PM and HRV using 24-hour Holter monitoring at up to five time points. Primary outcomes were HRV measures tied to cardiovascular morbidity (standard deviation of normal-to-normal intervals [SDNN] and root mean square of successive differences between normal-to-normal intervals [RMSSD]). Measurements and Results: Eighty-five participants contributed 317 HRV measurements. A twofold increase in household PM ⩽2.5 µm in aerodynamic diameter was associated with decreases in SDNN (β, -2.98% [95% confidence interval (CI), -5.12 to -0.78]) and RMSSD (β, -4.57% [95% CI, -10.1 to -1.60]). The greatest effects were observed with ultrafine particles (<100 nm) (RMSSD; β, -16.4% [95% CI, -22.3 to -10.1]) and among obese participants. Participants randomized to the active air cleaner saw improvements in RMSSD (β, 25.2% [95% CI, 2.99 to 52.1]), but not SDNN (β, 2.65% [95% CI, -10.8 to 18.1]), compared with the placebo group. Conclusions: This is the first U.S. study to describe the association between household PM and cardiac autonomic function among individuals with COPD, as well as the potential cardiovascular health benefits of household air cleaners.
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Affiliation(s)
| | | | - Kirsten Koehler
- Department of Environmental Health Sciences and Engineering and
| | | | | | | | | | - Roger D. Peng
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Cheng Ting Lin
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Chantal Lemoine
- Department of Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania; and
| | - Jennifer Wineke
- Department of Psychiatry, University of Maryland Medical Center, Baltimore, Maryland
| | | | - Nadia N. Hansel
- Department of Medicine and
- Department of Environmental Health Sciences and Engineering and
| | - Meredith C. McCormack
- Department of Medicine and
- Department of Environmental Health Sciences and Engineering and
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18
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Collard D, Westerhof BE, Karemaker JM, Stok WJ, Postema PG, Krediet CTP, Vogt L, van den Born BJH. Automated analysis of finger blood pressure recordings provides insight in determinants of baroreflex sensitivity and heart rate variability-the HELIUS study. Med Biol Eng Comput 2023; 61:1183-1191. [PMID: 36683125 PMCID: PMC10083154 DOI: 10.1007/s11517-023-02768-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 01/02/2023] [Indexed: 01/24/2023]
Abstract
Sympathovagal balance is important in the pathogenesis of hypertension and independently associated with mortality. We evaluated the value of automated analysis of cross-correlation baroreflex sensitivity (xBRS) and heart rate variability (HRV) and its relationship with clinical covariates in 13,326 participants from the multi-ethnic HELIUS study. Finger blood pressure (BP) was continuously recorded, from which xBRS, standard deviation of normal-to-normal intervals (SDNN), and squared root of mean squared successive difference between normal-to-normal intervals (RMSDD) were determined. A subset of 3356 recordings > 300 s was used to derive the minimally required duration by comparing shortened to complete recordings, defined as intraclass correlation (ICC) > 0.90. For xBRS and SDNN, 120 s and 180 s were required (ICC 0.93); for RMSDD, 60 s (ICC 0.94) was sufficient. We included 10,252 participants (median age 46 years, 54% women) with a recording > 180 s for the regression. xBRS, SDNN, and RMSDD decreased linearly up to 50 years of age. For xBRS, there was a signification interaction with sex, with for every 10 years a decrease of 4.3 ms/mmHg (95%CI 4.0-4.6) for men and 5.9 ms/mmHg (95%CI 5.6-6.1) for women. Using splines, we observed sex-dependent nonlinearities in the relation with BP, waist-to-hip-ratio, and body mass index. Future studies can help unravel the dynamics of these relations and assess their predictive value. Panel 1 depicts automatic analysis and filtering of finger BP recordings, panel 2 depicts computation of xBRS from interpolated beat to beat data of systolic BP and interbeat interval, and (IBI) SDNN and RMSDD are computed directly from the filtered IBI dataset. Panel 3 depicts the results of large-scale analysis and relation of xBRS with age, sex, blood pressure and body mass index.
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Affiliation(s)
- D Collard
- Department of Internal Medicine, Section Vascular Medicine, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, PO box 22660, 1100 DD, Amsterdam, The Netherlands.
| | - B E Westerhof
- Department of Pulmonary Medicine, Amsterdam Cardiovascular Sciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Department of Medical Biology, Section Systems Physiology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - J M Karemaker
- Department of Medical Biology, Section Systems Physiology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - W J Stok
- Department of Medical Biology, Section Systems Physiology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - P G Postema
- Department of Cardiology, Amsterdam Cardiovascular Sciences, Heart Center, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - C T P Krediet
- Department of Internal Medicine, Section Nephrology, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
| | - L Vogt
- Department of Internal Medicine, Section Nephrology, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
| | - B J H van den Born
- Department of Internal Medicine, Section Vascular Medicine, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, PO box 22660, 1100 DD, Amsterdam, The Netherlands
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
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19
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Lankaputhra M, Johnston FH, Otahal P, Jalil E, Dennekamp M, Negishi K. Cardiac Autonomic Impacts of Bushfire Smoke-A Prospective Panel Study. Heart Lung Circ 2023; 32:52-58. [PMID: 36443176 DOI: 10.1016/j.hlc.2022.08.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 08/09/2022] [Accepted: 08/16/2022] [Indexed: 11/27/2022]
Abstract
BACKGROUND Air pollution is associated with cardiovascular disease and mortality. Most studies have focussed on urban or traffic-related pollution, and less is known about the impacts from bushfire smoke on cardiovascular autonomic function, although it is associated with increased sudden cardiac death and mortality. We sought to investigate its instantaneous and short-term impacts on heart rate variability (HRV). METHODS Twenty-four (24)-hour Holter electrocardiography (ECG) was repeated twice (during bushfire [Phase 1] and then clean air [Phase 2]) in 32 participants from two Australian towns (Warburton and Traralgon, Victoria) surrounding planned burning areas. This was compared with 10 control participants in another town (Maffra, Victoria) with two clean air assessments during the same periods. The primary HRV parameters assessed were those assessing overall HRV (Standard Deviation of Normal-to-Normal intervals [SDNN]), long-term HRV (Standard Deviation of the Average of Normal Sinus-to-Normal Sinus intervals for each 5-minutes [SDANN]), low frequency [LF]) and short-term HRV (Root Mean Square of Successive Differences between N-N intervals [RMSSD], High Frequency [HF], LF:HF ratio). Average concentrations of particulate matter <2.5 μm in diameter (PM2.5) were measured at fixed site monitors in each location. RESULTS Mean PM2.5 levels were significantly elevated during bushfire exposure in Warburton (96.5±57.7 μg/m3 vs 4.0±1.9 μg/m3, p<0.001) and Traralgon (12.6±4.9 μg/m3 vs 3.4±3.1 μg/m3, p<0.001), while it remained low in the control town, Maffra, in each phase (4.3±3.2 μg/m3 and 3.9±3.6 μg/m3, p=0.70). Although SDANN remained stable in controls, the exposed cohort showed significant worsening in SDANN during bushfire smoke exposure by 9.6±25.7ms (p=0.039). In univariable analysis, smoke exposure was significantly associated with higher ΔSDNN and ΔSDANN (p=0.03, p=0.01 exposed vs control). The association remained significant in ΔSDANN after adjusting for age, sex and cigarette smoking (p=0.02) and of borderline significance in ΔSDNN (p=0.06). CONCLUSIONS Exposure to the bushfire smoke was independently associated with reduced overall and long-term HRV. Our findings suggest that imbalance in cardiac autonomic function is a key mechanism of adverse cardiovascular effects of bushfire smoke.
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Affiliation(s)
- Malanka Lankaputhra
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tas, Australia
| | - Fay H Johnston
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tas, Australia
| | - Petr Otahal
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tas, Australia
| | - Edura Jalil
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tas, Australia
| | - Martine Dennekamp
- Monash University, Melbourne, Vic, Australia; Environmental Public Health Unit, Environment Protection Authority Victoria, Melbourne, Vic, Australia
| | - Kazuaki Negishi
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tas, Australia; Sydney Medical School Nepean, Faculty of Medicine and Health, Charles Perkins Centre Nepean, The University of Sydney, Sydney, NSW, Australia; Nepean Hospital, Sydney, NSW, Australia.
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Terol Espinosa de los Monteros C, van der Palen RL, Nederend I, de Geus EJ, Kuipers IM, Hazekamp MG, Blom NA, ten Harkel AD. Cardiac autonomic nervous activity in patients with transposition of the great arteries after arterial switch operation. INTERNATIONAL JOURNAL OF CARDIOLOGY CONGENITAL HEART DISEASE 2022. [DOI: 10.1016/j.ijcchd.2022.100417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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21
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Qiu Q, Song W, Zhou X, Yu Z, Wang M, Hao H, Pan D, Luo X. Heart rate variability is associated with cerebral small vessel disease in patients with diabetes. Front Neurol 2022; 13:989064. [PMID: 36438976 PMCID: PMC9685533 DOI: 10.3389/fneur.2022.989064] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 10/27/2022] [Indexed: 12/02/2023] Open
Abstract
OBJECTIVE Low heart rate variability (HRV), an indicator of autonomic nervous system dysfunction, has been associated with increased all-cause and cardiovascular mortality and incident stroke. However, the relationship between HRV and cerebral small vessel disease (CSVD) showed contradictory results. We aimed to examine the relationship of HRV and total burden of CSVD and each of the magnetic resonance imaging (MRI) markers of CSVD. METHODS We recruited 435 patients who attended our hospital for physical examination between June 2020 and August 2021. All underwent 24-h Holter monitoring and MRI scan. The standard deviation of normal-to-normal intervals (SDNN) was selected as the method for HRV assessment. The presence of severe white matter hyperintensity, lacunes, and >10 enlarged basal ganglia perivascular spaces, and cerebral microbleeds were added for estimating the CSVD score (0-4). Multivariate logistic analyses was performed to assess whether HRV was independently associated with the burden of CSVD and each of the MRI markers of CSVD, with and without stratification by prevalent diabetes. RESULTS This study included 435 subjects with a mean age of 64.0 (57.0-70.0) years; 49.4% of the patients were male, and 122 (28.0%) had a history of diabetes. In multivariate analyses, lower SDNN was independently associated with total burden of CSVD and the presence of enlarged perivascular spaces in all subjects. According to diabetes stratification, lower SDNN was independently associated with total burden of CSVD and each MRI markers of CSVD separately only in the diabetic group. CONCLUSIONS Lower HRV was associated with total burden of CSVD and each MRI markers of CSVD separately among diabetic patients, but not among non-diabetic patients.
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Affiliation(s)
- Qianwen Qiu
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Neurology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wenhui Song
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xirui Zhou
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhiyuan Yu
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Minghuan Wang
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huang Hao
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Dengji Pan
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiang Luo
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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22
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Wilkie L, Fisher Z, Kemp AH. The Complex Construct of Wellbeing and the Role of Vagal Function. Front Integr Neurosci 2022; 16:925664. [PMID: 35875509 PMCID: PMC9301262 DOI: 10.3389/fnint.2022.925664] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 06/21/2022] [Indexed: 11/17/2022] Open
Affiliation(s)
- Lowri Wilkie
- School of Psychology, Faculty of Medicine, Health and Life Science, Swansea University, Swansea, United Kingdom
- Regional Neuropsychology and Community Brain Injury Service, Morriston Hospital, Swansea, United Kingdom
| | - Zoe Fisher
- Regional Neuropsychology and Community Brain Injury Service, Morriston Hospital, Swansea, United Kingdom
- Health and Wellbeing Academy, Faculty of Medicine, Health and Life Science, Swansea University, Swansea, United Kingdom
| | - Andrew H. Kemp
- School of Psychology, Faculty of Medicine, Health and Life Science, Swansea University, Swansea, United Kingdom
- Regional Neuropsychology and Community Brain Injury Service, Morriston Hospital, Swansea, United Kingdom
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23
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Isidoro NJX, Oliveira FR, Raimundo RD. Effect of resisted exercise on autonomic cardiac modulation in elderly women: STROBE-compliant study. Medicine (Baltimore) 2022; 101:e28977. [PMID: 35451388 PMCID: PMC8913132 DOI: 10.1097/md.0000000000028977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 02/05/2022] [Indexed: 01/04/2023] Open
Abstract
Heart rate variability (HRV) is an important cardiac health marker, with lower values indicating a reduction in vagal control of cardiac rhythm and decreasing significantly with advancing age. In this study, we evaluated the effects of strength exercises for the upper and lower limbs on cardiac autonomic modulation in elderly women.We registered 29 participants using a portable RS800CX heart rate monitor to record the RR intervals. For the collection of HRV data, the volunteers remained seated at rest for 10 minutes. After the rest period, the participants performed the exercises. Immediately after the exercise protocol, the subjects remained seated at rest for 30 minutes. HRV indices were analyzed in the following periods: rest, 0 to 10 minutes, 5 to 10 minutes, 10 to 20 minutes, and 20 to 30 minutes. Systolic arterial pressure and diastolic arterial pressure were measured in the following periods: rest, immediately after exercise, and 30 minutes after exercise.Regarding the mean of the RR intervals, heart rate, and indexes of the time and frequency domains surveyed, there were no statistically significant differences between the 4 moments in the protocols for upper and lower limbs. No significant differences were found in systolic and diastolic pressures between the 3 time points surveyed in the protocols for the upper and lower limbs.Resistance exercises performed with low-intensity loads and a greater number of repetitions did not promote significant variations in cardiac autonomic modulation and blood pressure levels, showing good safety in elderly women.
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Affiliation(s)
- Naerton José Xavier Isidoro
- Universidade Regional do Cariri, Crato, Ceará, Brazil
- Laboratório de Delineamento de Estudos e Escrita Científica, Centro Universitário FMABC, Faculdade de Medicina do ABC, Santo André, SP, Brazil
| | - Fernando Rocha Oliveira
- Laboratório de Delineamento de Estudos e Escrita Científica, Centro Universitário FMABC, Faculdade de Medicina do ABC, Santo André, SP, Brazil
| | - Rodrigo Daminello Raimundo
- Laboratório de Delineamento de Estudos e Escrita Científica, Centro Universitário FMABC, Faculdade de Medicina do ABC, Santo André, SP, Brazil
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24
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Lutin E, Schiweck C, Cornelis J, De Raedt W, Reif A, Vrieze E, Claes S, Van Hoof C. The cumulative effect of chronic stress and depressive symptoms affects heart rate in a working population. Front Psychiatry 2022; 13:1022298. [PMID: 36311512 PMCID: PMC9606467 DOI: 10.3389/fpsyt.2022.1022298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 09/26/2022] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Chronic stress and depressive symptoms have both been linked to increased heart rate (HR) and reduced HR variability. However, up to date, it is not clear whether chronic stress, the mechanisms intrinsic to depression or a combination of both cause these alterations. Subclinical cases may help to answer these questions. In a healthy working population, we aimed to investigate whether the effect of chronic stress on HR circadian rhythm depends on the presence of depressive symptoms and whether chronic stress and depressive symptoms have differential effects on HR reactivity to an acute stressor. METHODS 1,002 individuals of the SWEET study completed baseline questionnaires, including psychological information, and 5 days of electrocardiogram (ECG) measurements. Complete datasets were available for 516 individuals. In addition, a subset (n = 194) of these participants completed a stress task on a mobile device. Participants were grouped according to their scores for the Depression Anxiety Stress Scale (DASS) and Perceived Stress Scale (PSS). We explored the resulting groups for differences in HR circadian rhythm and stress reactivity using linear mixed effect models. Additionally, we explored the effect of stress and depressive symptoms on night-time HR variability [root mean square of successive differences (RMSSD)]. RESULTS High and extreme stress alone did not alter HR circadian rhythm, apart from a limited increase in basal HR. Yet, if depressive symptoms were present, extreme chronic stress levels did lead to a blunted circadian rhythm and a lower basal HR. Furthermore, blunted stress reactivity was associated with depressive symptoms, but not chronic stress. Night-time RMSSD data was not influenced by chronic stress, depressive symptoms or their interaction. CONCLUSION The combination of stress and depressive symptoms, but not chronic stress by itself leads to a blunted HR circadian rhythm. Furthermore, blunted HR reactivity is associated with depressive symptoms and not chronic stress.
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Affiliation(s)
- Erika Lutin
- Electrical Engineering-ESAT, KU Leuven, Leuven, Belgium.,Imec, Leuven, Belgium
| | - Carmen Schiweck
- Department of Psychiatry, Psychosomatics and Psychotherapy, Goethe University, Frankfurt am Main, Germany
| | | | | | - Andreas Reif
- Department of Psychiatry, Psychosomatics and Psychotherapy, Goethe University, Frankfurt am Main, Germany
| | - Elske Vrieze
- Department of Neurosciences, Psychiatry Research Group, KU Leuven, Leuven, Belgium.,University Psychiatric Centre KU Leuven, Leuven, Belgium
| | - Stephan Claes
- Department of Neurosciences, Psychiatry Research Group, KU Leuven, Leuven, Belgium.,University Psychiatric Centre KU Leuven, Leuven, Belgium
| | - Chris Van Hoof
- Electrical Engineering-ESAT, KU Leuven, Leuven, Belgium.,Imec, Leuven, Belgium.,OnePlanet Research Center, Wageningen, Netherlands
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25
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Garavaglia L, Gulich D, Defeo MM, Thomas Mailland J, Irurzun IM. The effect of age on the heart rate variability of healthy subjects. PLoS One 2021; 16:e0255894. [PMID: 34624048 PMCID: PMC8500436 DOI: 10.1371/journal.pone.0255894] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Accepted: 07/26/2021] [Indexed: 11/25/2022] Open
Abstract
In this work we study the characteristics of heart rate variability (HRV) as a function of age and gender. Our analysis covers a wider age range than that studied so far. It includes results previously reported in the literature and reveals behaviours not reported before. We can establish basic scale relationships in different HRV measurements. The mean value of the RR intervals shows a power-law behaviour independent of gender. Magnitudes such as the standard deviation or pNN50 show abrupt changes at around the age of 12 years, and above that age they show gender dependence, which mainly affects short-time (or high frequency) scales. We present a unified analysis for the calculation of the non-linear α and β parameters. Both parameters depend on age; they increase in the extremes of life and reach a minimum at around one year of age. These gender-independent changes occur at low frequencies and in scale ranges that depend on age. The results obtained in this work are discussed in terms of the effects of basal metabolic rate, hormonal regulation, and neuronal activity on heart rate variability. This work finally discusses how these findings influence the interpretation of HRV measurements from records of different lengths.
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Affiliation(s)
- Leopoldo Garavaglia
- Centro Científico Tecnológico (CCT) La Plata- CONICET, Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas (INIFTA), Facultad de Ciencias Exactas, Universidad Nacional de La Plata, La Plata, República Argentina
| | - Damián Gulich
- Centro de Investigaciones Opticas, La Plata, República Argentina
| | - Magdalena M. Defeo
- Hospital Interzonal General de Agudos “Prof. Dr. Rodolfo Rossi”, La Plata, República Argentina
| | - Julieta Thomas Mailland
- Centro Científico Tecnológico (CCT) La Plata- CONICET, Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas (INIFTA), Facultad de Ciencias Exactas, Universidad Nacional de La Plata, La Plata, República Argentina
| | - Isabel M. Irurzun
- Centro Científico Tecnológico (CCT) La Plata- CONICET, Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas (INIFTA), Facultad de Ciencias Exactas, Universidad Nacional de La Plata, La Plata, República Argentina
- * E-mail:
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Fine MS, Lombardo JM, Colombe JB, Gawron VJ, Brokaw EB. Use of wearable physiological sensors to predict cognitive workload in a visuospatial learning task. Technol Health Care 2021; 30:647-660. [PMID: 34397440 DOI: 10.3233/thc-213106] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Increased cognitive workload, sometimes known as mental strain or mental effort, has been associated with reduced performance. OBJECTIVE The use of physiological monitoring was investigated to predict cognitive workload and performance. METHODS Twenty-one participants completed a 10-minute seated rest, a visuospatial learning task modeled after crane operation, and the Stroop test, an assessment that measures cognitive interference. Heart rate, heart rate variability, electrodermal activity, skin temperature, and electromyographic activity were collected. RESULTS It was found that participants' ability to learn the simulated crane operation task was inversely correlated with self-reported frustration. Significant changes were also found in physiological metrics in the simulation with respect to rest, including an increase in heart rate, electrodermal activity, and trapezius muscle activity; heart rate and muscle activity were also correlated with simulation performance. The relationship between physiological measures and self-reported workload was modeled and it was found that muscle activity and high frequency power, a measure of heart rate variability, were significantly associated with the workload reported. CONCLUSIONS The findings support the use of physiological monitoring to inform real time decision making (e.g., identifying individuals at risk of injury) or training decisions (e.g., by identifying individuals that may benefit from additional training even when no errors are observed).
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Guo Q, Li H, Ouyang H, Sun R, Wang J, Wu M, Pan Y, Wang J, Zhang Y. Heart Rate Fluctuation and Mortality in Critically Ill Myocardial Infarction Patients: A Retrospective Cohort Study. Front Cardiovasc Med 2021; 8:577742. [PMID: 34055921 PMCID: PMC8160095 DOI: 10.3389/fcvm.2021.577742] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Accepted: 04/20/2021] [Indexed: 12/23/2022] Open
Abstract
Background: Whether heart rate (HR) fluctuation after admission has an impact on the outcomes of critically ill myocardial infarction (MI) patients in intensive care unit remains unknown. Methods: A total of 2,031 MI patients were enrolled from the Medical Information Mart for Intensive Care (MIMIC-III) database. HR fluctuation was calculated as the maximum HR minus the minimum HR in the initial 24 h after admission. Participants were divided into 3 groups, namely, low HR fluctuation [<30 beats per minute (bpm)], medium HR fluctuation (30-49 bpm), and high HR fluctuation (≥ 50 bpm). The main outcomes were 30-day and 1-year mortality. Cox regression and restricted cubic spline model were used. Results: Each 10-bpm increase in HR fluctuation was associated with a higher risk of 30-day mortality and 1-year mortality, with adjusted hazard ratios of 1.122 (95% CI, 1.083-1.162) and 1.107 (95% CI, 1.074-1.140), respectively. Compared with the low HR fluctuation group, the high HR fluctuation group suffered a significantly higher risk of mortality after adjustment, with hazard ratios of 2.156 (95% CI, 1.483-3.134) for 30-day mortality and 1.796 (95% CI, 1.354-2.381) for 1-year mortality. A typical J-type curve was observed in restricted cubic splines for the association between HR fluctuation and 30-day or 1-year mortality of MI patients, with the lowest risk on the HR fluctuation of 30 bpm. Sensitivity analyses emphasized the robustness of our results. Conclusions: This retrospective cohort study revealed an independent positive association between HR fluctuation and 30-day and 1-year mortality in critically ill MI patients, which warrants further investigation.
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Affiliation(s)
- Qi Guo
- Department of Cardiology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Arrhythmia and Electrophysiology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China
| | - Hongwei Li
- Department of Cardiology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Arrhythmia and Electrophysiology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China
| | - Huijun Ouyang
- Department of Cardiology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Arrhythmia and Electrophysiology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China
| | - Runlu Sun
- Department of Cardiology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Arrhythmia and Electrophysiology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China
| | - Junjie Wang
- Department of Cardiology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Arrhythmia and Electrophysiology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China
| | - Maoxiong Wu
- Department of Cardiology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Arrhythmia and Electrophysiology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China
| | - Yue Pan
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Jingfeng Wang
- Department of Cardiology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Arrhythmia and Electrophysiology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China
| | - Yuling Zhang
- Department of Cardiology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Arrhythmia and Electrophysiology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China
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28
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Guo Q, Xiao Z, Lin M, Yuan G, Qiu Q, Yang Y, Zhao H, Zhang Y, Zhou S, Wang J. Heart rate fluctuation predicts mortality in critically ill patients in the intensive care unit: a retrospective cohort study. ANNALS OF TRANSLATIONAL MEDICINE 2021; 9:334. [PMID: 33708961 PMCID: PMC7944303 DOI: 10.21037/atm-20-7897] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Background To evaluate the association between heart rate (HR) fluctuation and mortality in critically ill patients in the intensive care unit (ICU). Methods A total of 27,814 patients were enrolled from the Medical Information Mart for Intensive Care database and were divided into 3 groups: low HR fluctuation [<25 beats per minute (bpm)], control (25-34 bpm), and high HR fluctuation (≥35 bpm), based on the initial 24-hour HR fluctuation (calculated as the maximum HR minus minimum HR). Multivariate Cox regression and restricted cubic spline models were used. Results Compared to the control group, higher risk of 28-day and 1-year mortality remained significant in an adjusted model, with hazard ratios of 1.210 [95% confidence interval (CI), 1.103-1.327] and 1.150 (95% CI, 1.078-1.227), respectively, in the high HR fluctuation group, as well as hazard ratios of 1.130 (95% CI, 1.035-1.232) and 1.087 (95% CI, 1.022-1.157), respectively, in the low HR fluctuation group. Restricted cubic splines showed a U-type curve, with the lowest risk of mortality at an HR fluctuation of 30 bpm. Conclusions This retrospective cohort study revealed that both high and low HR fluctuation correlated with increased mortality in critically ill ICU patients, providing new insights for optimizing HR control strategies.
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Affiliation(s)
- Qi Guo
- Department of Cardiology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China.,Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, China
| | - Zhanchao Xiao
- Department of Cardiology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China.,Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, China
| | - Maohuan Lin
- Department of Cardiology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China.,Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, China
| | - Guiyi Yuan
- Department of Cardiology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China.,Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, China
| | - Qiong Qiu
- Department of Cardiology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China.,Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, China
| | - Ying Yang
- Department of Cardiology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China.,Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, China
| | - Huiying Zhao
- Department of Cardiology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China.,Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, China
| | - Yuling Zhang
- Department of Cardiology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China.,Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, China
| | - Shuxian Zhou
- Department of Cardiology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China.,Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, China
| | - Jingfeng Wang
- Department of Cardiology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China.,Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, China
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Janicki AJ, Frisch SO, Patterson PD, Brown A, Frisch A. Emergency Medicine Residents Experience Acute Stress While Working in the Emergency Department. West J Emerg Med 2020; 22:94-100. [PMID: 33439813 PMCID: PMC7806330 DOI: 10.5811/westjem.2020.10.47641] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Accepted: 10/28/2020] [Indexed: 12/27/2022] Open
Abstract
INTRODUCTION Acute stress may impair cognitive performance and multitasking, both vital in the practice of emergency medicine (EM). Previous research has demonstrated that board-certified emergency physicians experience physiologic stress while working clinically. We sought to determine whether EM residents have a similar stress response, and hypothesized that residents experience acute stress while working clinically. METHODS We performed a prospective observational study of physiologic stress including heart rate (HR), heart rate variability (HRV), and subjective stress in EM residents during clinical shifts in the emergency department. HR and HRV were measured via 3-lead Holter monitors and compared to baseline data obtained during weekly educational didactics. Subjective stress was assessed before and after clinical shifts via a Likert-scale questionnaire and written comments. RESULTS We enrolled 21 residents and acquired data from 40 shifts. Residents experienced an increase in mean HR of eight beats per minute (P < 0.001) and decrease in HRV of 53.9 milliseconds (P = 0.005) while working clinically. Subjective stress increased during clinical work (P <0.001). HRV was negatively correlated with subjective stress, but this did not reach statistical significance (P = 0.09). CONCLUSION EM residents experience acute subjective and physiologic stress while working clinically. HR, HRV, and self-reported stress are feasible indicators to assess the acute stress response during residency training. These findings should be studied in a larger, more diverse cohort of residents and efforts made to identify characteristics that contribute to acute stress and to elicit targeted educational interventions to mitigate the acute stress response.
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Affiliation(s)
- Adam J Janicki
- University of Pittsburgh, School of Medicine, Department of Emergency Medicine, Pittsburgh, Pennsylvania
| | - Stephanie O Frisch
- University of Pittsburgh, School of Nursing, Department of Acute and Tertiary Care, Pittsburgh, Pennsylvania
| | - P Daniel Patterson
- University of Pittsburgh, School of Medicine, Department of Emergency Medicine, Pittsburgh, Pennsylvania
| | - Aaron Brown
- University of Pittsburgh, School of Medicine, Department of Emergency Medicine, Pittsburgh, Pennsylvania
| | - Adam Frisch
- University of Pittsburgh, School of Medicine, Department of Emergency Medicine, Pittsburgh, Pennsylvania
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30
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Csanády-Leitner R, Seibert FJ, Perchtold-Stefan CM, Maurer-Ertl W, Hilgarter K, Lackner HK. Patients with hip fracture and total hip arthroplasty surgery differ in anthropometric, but not cardiovascular screening abnormalities. BMC Cardiovasc Disord 2020; 20:507. [PMID: 33267795 PMCID: PMC7713041 DOI: 10.1186/s12872-020-01792-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2019] [Accepted: 11/23/2020] [Indexed: 12/04/2022] Open
Abstract
Background With the rising number of hip surgeries, simple and cost-effective tools for surgery risk assessment are warranted. The analysis of heart rate variability (HRV) may not only provide critical insights into the general frailty of patients with hip surgery, but also allow for better differentiation of health profiles in different hip surgery groups. Using HRV analysis, the present study compared cardiovascular as well as anthropometric parameters between patients with hip surgery, the hip fracture surgery group (HFS) and the total hip arthroplasty group (THA), and a control group. Methods 71 participants (56.3% women), aged 60–85 years, took part, divided into three groups—patients after hip surgery (21 HFS and 30 THA patients) and a control group (20 participants). Electrocardiogram was recorded at baseline and after the application of a physical stressor (grip strength). A 3 (group) × 2 (time) repeated measures ANOVA, and a chi square test were carried out to test for group differences. Results Higher weight (p = .002), body mass index (p = .001), and systolic blood pressure (p = .034) were found in THA patients compared to HFS patients. Lower calf circumference (p = .009) and diastolic blood pressure (p = .048) were observed for the HFS group compared to the control group. For cardiovascular parameters, significant differences emerged between the HFS group and the control group in HR (p = .005), SDNN (p = .034) and SD2 (p = .012). No significant differences in cardiovascular parameters were observed between the two hip surgery groups: neither at baseline nor during stressor recovery. Conclusions While HRV seems to differentiate well between HFS patients and controls, more research with larger samples is needed to scrutinize similaritites and differences in cardiovascular profiles between HFS and THA patients.
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Affiliation(s)
- Regina Csanády-Leitner
- Division of Physiology, Otto Loewi Research Center, Medical University of Graz, Neue Stiftingtalstraße 6/D05, 8036, Graz, Austria.
| | - Franz J Seibert
- Department of Orthopaedics and Trauma, Medical University of Graz, Auenbruggerplatz 5, 8036, Graz, Austria
| | | | - Werner Maurer-Ertl
- Department of Orthopaedics and Trauma, Medical University of Graz, Auenbruggerplatz 5, 8036, Graz, Austria
| | - Kathrin Hilgarter
- Division of Physiology, Otto Loewi Research Center, Medical University of Graz, Neue Stiftingtalstraße 6/D05, 8036, Graz, Austria
| | - Helmut K Lackner
- Division of Physiology, Otto Loewi Research Center, Medical University of Graz, Neue Stiftingtalstraße 6/D05, 8036, Graz, Austria
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Tegegne BS, Man T, van Roon AM, Asefa NG, Riese H, Nolte I, Snieder H. Heritability and the Genetic Correlation of Heart Rate Variability and Blood Pressure in >29 000 Families: The Lifelines Cohort Study. Hypertension 2020; 76:1256-1262. [PMID: 32829661 PMCID: PMC7480943 DOI: 10.1161/hypertensionaha.120.15227] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 05/05/2020] [Accepted: 07/23/2020] [Indexed: 12/21/2022]
Abstract
Dysregulation of the cardiac autonomic nervous system, as indexed by reduced heart rate variability (HRV), has been associated with the development of high blood pressure (BP). However, the underlying pathological mechanisms are not yet fully understood. This study aimed to estimate heritability of HRV and BP and to determine their genetic overlap. We used baseline data of the 3-generation Lifelines population-based cohort study (n=149 067; mean age, 44.5). In-house software was used to calculate root mean square of successive differences and SD of normal-to-normal intervals as indices of HRV based on 10-second resting ECGs. BP was recorded with an automatic BP monitor. We estimated heritabilities and genetic correlations with variance components methods in ASReml software. We additionally estimated genetic correlations with bivariate linkage disequilibrium score regression using publicly available genome-wide association study data. The heritability (SE) estimates were 15.6% (0.90%) for SD of normal-to-normal intervals and 17.9% (0.90%) for root mean square of successive differences. For BP measures, they ranged from 24.4% (0.90%) for pulse pressure to 30.3% (0.90%) for diastolic BP. Significant negative genetic correlations (all P<0.0001) of root mean square of successive differences/SD of normal-to-normal intervals with systolic BP (-0.20/-0.16) and with diastolic BP (-0.15/-0.13) were observed. LD score regression showed largely consistent genetic correlation estimates of root mean square of successive differences/SD of normal-to-normal intervals with systolic BP (range, -0.08 to -0.23) and diastolic BP (range, -0.20 to -0.27). Our study shows a substantial contribution of genetic factors in explaining the variance of HRV and BP measures in the general population. The significant negative genetic correlations between HRV and BP indicate that genetic pathways for HRV and BP partially overlap.
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Affiliation(s)
- Balewgizie S. Tegegne
- From the Department of Epidemiology (B.S.T., T.M., N.G.A., I.N., H.S.), University Medical Center Groningen, University of Groningen, the Netherlands
| | - Tengfei Man
- From the Department of Epidemiology (B.S.T., T.M., N.G.A., I.N., H.S.), University Medical Center Groningen, University of Groningen, the Netherlands
| | - Arie M. van Roon
- Department of Vascular Medicine (A.M.v.R.), University Medical Center Groningen, University of Groningen, the Netherlands
| | - Nigus G. Asefa
- From the Department of Epidemiology (B.S.T., T.M., N.G.A., I.N., H.S.), University Medical Center Groningen, University of Groningen, the Netherlands
| | - Harriëtte Riese
- Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (H.R.), University Medical Center Groningen, University of Groningen, the Netherlands
| | - Ilja Nolte
- From the Department of Epidemiology (B.S.T., T.M., N.G.A., I.N., H.S.), University Medical Center Groningen, University of Groningen, the Netherlands
| | - Harold Snieder
- From the Department of Epidemiology (B.S.T., T.M., N.G.A., I.N., H.S.), University Medical Center Groningen, University of Groningen, the Netherlands
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Asefa NG, Neustaeter A, Jansonius NM, Snieder H. Autonomic Dysfunction and Blood Pressure in Glaucoma Patients: The Lifelines Cohort Study. Invest Ophthalmol Vis Sci 2020; 61:25. [PMID: 32931573 PMCID: PMC7500113 DOI: 10.1167/iovs.61.11.25] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
Purpose We investigated relationship of glaucoma with measurements related to autonomic dysfunction, including heart rate variability (HRV) and blood pressure (BP). Methods Glaucoma was defined using a questionnaire-based algorithm for 86,841 LifeLines Cohort Study participants. Baseline HRV (root mean square of successive differences [RMSSD]) was calculated from resting electrocardiograms; systolic BP (SBP), diastolic BP (DBP), mean arterial pressure (MAP), and pulse pressure (PP) were oscillometric-based measurements. We used a generalized linear mixed model, adjusted for age, age square, sex, body mass index, and familial relationships to assess the relationship of baseline HRV and BP (continuous and quartiles), hypertension, and antihypertensive medication with glaucoma at follow up (median, 3.8 years). Results The odds ratio (OR) of glaucoma was 0.95 (95% confidence interval [CI], 0.92-0.99) per unit increase in log-transformed RMSSD (in ms), indicating that autonomous dysfunction (low HRV) is associated with a higher risk of glaucoma. Per 10-mm Hg increase in BP, we found ORs of 1.03 (95% CI, 1.01-1.05; P = 0.015) for SBP, 1.01 (95% CI, 0.97-1.05; P = 0.55) for DBP, 1.03 (95% CI, 1.00-1.06; P = 0.083) for MAP, and 1.04 (95% CI, 1.01-1.07; P = 0.006) for PP. The OR for the lowest versus highest RMSSD quartile was 1.15 (95% CI, 1.05-1.27; P = 0.003). The ORs for the highest versus second quartile were 1.09 (95% CI, 0.99-1.19; P = 0.091) for SBP and 1.13 (95% CI, 1.02-1.24; P = 0.015) for PP. Glaucoma was more common among hypertensives (OR, 1.25; 95% CI, 1.16-1.35; P < 0.001); among those using angiotensin-converting enzyme (ACE) inhibitors (OR, 1.35; 95% CI, 1.18-1.55; P < 0.001); and among those using calcium-channel blockers (OR, 1.19; 95% CI, 1.01-1.40; P = 0.039). Conclusions Low HRV, high SBP, high PP, and hypertension were associated with glaucoma. Longitudinal studies may elucidate if autonomic dysregulation and high BP also predict glaucoma incidence.
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Affiliation(s)
- Nigus G Asefa
- Department of Epidemiology, Graduate School of Medical Science, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Anna Neustaeter
- Department of Ophthalmology, Graduate School of Medical Science, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Nomdo M Jansonius
- Department of Ophthalmology, Graduate School of Medical Science, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Harold Snieder
- Department of Epidemiology, Graduate School of Medical Science, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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Inter- and intra-researcher reproducibility of heart rate variability parameters in three human cohorts. Sci Rep 2020; 10:11399. [PMID: 32647148 PMCID: PMC7347623 DOI: 10.1038/s41598-020-68197-7] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Accepted: 06/16/2020] [Indexed: 12/17/2022] Open
Abstract
Heart rate variability (HRV) is a valid and non-invasive indicator of cardiac autonomic nervous system functioning. Short-term HRV recordings (e.g., 10 min long) produce data that usually is manually processed. Researcher subjective decision-making on data processing could produce inter- or intra-researcher differences whose magnitude has not been previously quantified in three independent human cohorts. This study examines the inter- and intra-researcher reproducibility of HRV parameters (i.e., the influence of R–R interval selection by different researchers and by the same researcher in different moments on the quantification of HRV parameters, respectively) derived from short-term recordings in a cohort of children with overweight/obesity, young adults and middle-age adults. Participants were recruited from 3 different studies: 107 children (10.03 ± 1.13 years, 58% male), 132 young adults (22.22 ± 2.20 years, 33% males) and 73 middle-aged adults (53.62 ± 5.18 years, 48% males). HRV was measured using a Polar RS800CX heart rate monitor. The intraclass correlation coefficient (ICC) ranged from 0.703 to 0.989 and from 0.950 to 0.998 for inter-and intra-researcher reproducibility, respectively. Limits of agreement for HRV parameters were higher for the inter-researcher processing compared with the intra-researcher processing. On average, the intra-researcher differences were 31%, 62%, and 80% smaller than the inter-researchers differences based on Coefficient of Variation in children, young and middle-aged adults, respectively. Our study provides the quantification of the inter-researcher and intra-researcher differences in three independent human cohorts, which could elicit some clinical relevant differences for HRV parameters. Based on our findings, we recommend the HRV data signal processing to be performed always by the same trained researcher and we postulate a development of algorithms for an automatic ECG selection.
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Jaque SV, Thomson P, Zaragoza J, Werner F, Podeszwa J, Jacobs K. Creative Flow and Physiologic States in Dancers During Performance. Front Psychol 2020; 11:1000. [PMID: 32528376 PMCID: PMC7266962 DOI: 10.3389/fpsyg.2020.01000] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2020] [Accepted: 04/22/2020] [Indexed: 11/18/2022] Open
Abstract
Pre-professional and professional dancers (n = 60) participated in this ambulatory psychophysiology study that investigated performance flow and heart rate and autonomic nervous system (ANS) function during three time periods: baseline rest, performance, and post-performance rest. To gather these results, the psychophysiology laboratory traveled to the concert hall to collect data on dancers. The self-report Flow State Scale (FSS) measured global flow, challenge–skill balance, sense of control, and autotelic experiences; it addresses important features of the creative experience of performing artists. These data were collected immediately following the performance. The flow measures were compared with physiologic responses to performance [heart rate, pre-ejection period (PEP), root mean square differences of successive R-R (heartbeat) intervals (RMSSD), cardiac autonomic balance, and cardiac autonomic regulation]. The regression analyses indicated that greater sympathetic nervous system (SNS) activation with performance (PEP change from base to performance) explained 8.8% of the variance in sense of control, whereas less cardiac autonomic regulation explained 13.8% of the variance in autotelic experiences. The sample was then divided into high and low flow groupings and four autonomic groups. During performance, the high autotelic group and high sense of control group had a higher distribution of dancers with co-inhibition of both ANS branches than had the low autotelic and sense of control groups who employed more co-activation of both ANS branches (chi-square analyses). These novel findings add to the growing information about the interaction of both branches of the ANS during creative performance flow states.
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Affiliation(s)
- S. Victoria Jaque
- Department of Kinesiology, California State University, Northridge, Los Angeles, CA, United States
| | - Paula Thomson
- Department of Kinesiology, California State University, Northridge, Los Angeles, CA, United States
- Department of Theater, York University, Toronto, ON, Canada
- *Correspondence: Paula Thomson,
| | - Jessica Zaragoza
- Department of Kinesiology, California State University, Northridge, Los Angeles, CA, United States
| | - Frances Werner
- Department of Kinesiology, California State University, Northridge, Los Angeles, CA, United States
| | - Jeff Podeszwa
- Department of Intercollegiate Athletics, The University of Akron, Akron, OH, United States
| | - Kristin Jacobs
- Cardiac Rehabilitation and Wellness, UC San Diego Health, San Diego, CA, United States
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Alcantara JMA, Plaza-Florido A, Amaro-Gahete FJ, Acosta FM, Migueles JH, Molina-Garcia P, Sacha J, Sanchez-Delgado G, Martinez-Tellez B. Impact of Using Different Levels of Threshold-Based Artefact Correction on the Quantification of Heart Rate Variability in Three Independent Human Cohorts. J Clin Med 2020; 9:jcm9020325. [PMID: 31979367 PMCID: PMC7074236 DOI: 10.3390/jcm9020325] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Revised: 01/20/2020] [Accepted: 01/21/2020] [Indexed: 11/16/2022] Open
Abstract
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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Affiliation(s)
- Juan M. A. Alcantara
- PROFITH “PROmoting FITness and Health Through Physical Activity” Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical and Sports Education, Faculty of Sport Sciences, University of Granada, 18011 Granada, Spain; (A.P.-F.); (F.J.A.-G.); (F.M.A.); (J.H.M.); (P.M.-G.); (G.S.-D.)
- Correspondence: ; Tel.: +34-958-244-353
| | - Abel Plaza-Florido
- PROFITH “PROmoting FITness and Health Through Physical Activity” Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical and Sports Education, Faculty of Sport Sciences, University of Granada, 18011 Granada, Spain; (A.P.-F.); (F.J.A.-G.); (F.M.A.); (J.H.M.); (P.M.-G.); (G.S.-D.)
| | - Francisco J. Amaro-Gahete
- PROFITH “PROmoting FITness and Health Through Physical Activity” Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical and Sports Education, Faculty of Sport Sciences, University of Granada, 18011 Granada, Spain; (A.P.-F.); (F.J.A.-G.); (F.M.A.); (J.H.M.); (P.M.-G.); (G.S.-D.)
- EFFECTS-262 Research Group, Department of Physiology, School of Medicine, University of Granada, 18071 Granada, Spain
| | - Francisco M. Acosta
- PROFITH “PROmoting FITness and Health Through Physical Activity” Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical and Sports Education, Faculty of Sport Sciences, University of Granada, 18011 Granada, Spain; (A.P.-F.); (F.J.A.-G.); (F.M.A.); (J.H.M.); (P.M.-G.); (G.S.-D.)
| | - Jairo H. Migueles
- PROFITH “PROmoting FITness and Health Through Physical Activity” Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical and Sports Education, Faculty of Sport Sciences, University of Granada, 18011 Granada, Spain; (A.P.-F.); (F.J.A.-G.); (F.M.A.); (J.H.M.); (P.M.-G.); (G.S.-D.)
| | - Pablo Molina-Garcia
- PROFITH “PROmoting FITness and Health Through Physical Activity” Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical and Sports Education, Faculty of Sport Sciences, University of Granada, 18011 Granada, Spain; (A.P.-F.); (F.J.A.-G.); (F.M.A.); (J.H.M.); (P.M.-G.); (G.S.-D.)
- Department of Rehabilitation Sciences, KU Leuven, University of Leuven, 3000 Leuven, Belgium
| | - Jerzy Sacha
- Faculty of Physical Education and Physiotherapy, Opole University of Technology, 45-758 Opole, Poland;
- Department of Cardiology, University Hospital in Opole, University of Opole, 45-401 Opole, Poland
| | - Guillermo Sanchez-Delgado
- PROFITH “PROmoting FITness and Health Through Physical Activity” Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical and Sports Education, Faculty of Sport Sciences, University of Granada, 18011 Granada, Spain; (A.P.-F.); (F.J.A.-G.); (F.M.A.); (J.H.M.); (P.M.-G.); (G.S.-D.)
- Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA
| | - Borja Martinez-Tellez
- Department of Medicine, division of Endocrinology, and Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, 2333 Leiden, The Netherlands
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Zhao M, Guan L, Wang Y. The Association of Autonomic Nervous System Function With Ischemic Stroke, and Treatment Strategies. Front Neurol 2020; 10:1411. [PMID: 32038467 PMCID: PMC6987371 DOI: 10.3389/fneur.2019.01411] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Accepted: 12/24/2019] [Indexed: 12/11/2022] Open
Abstract
Acute ischemic stroke, especially minor stroke, and transient ischemic attack have high risks of recurrence and exacerbation into severe ischemic strokes. It remains challenging to perform risk stratification and screen high-risk groups for initiation of early treatment in these patients. Moreover, with the growing population of patients with chronic small vessel disease, the mechanisms and clinical implications require further investigation. Traditional tools such as the ABCD2 score (age, blood pressure, clinical features, duration of symptoms, diabetes) have only moderate predictive value in patients with transient ischemic attack or minor stroke. By contrast, measurement of changes in heart rate variability (HRV) is an important and novel tool for risk stratification and outcome prediction in patients with cardiovascular diseases, as it reflects the overall level of autonomic nervous system dysfunction. Thus, abnormal HRV may be useful for prognosis and improve stratification of stroke patients with diverse risks. HRV may also partially explain autonomic nervous dysfunction and other manifestations during the process of chronic cerebral small vessel disease. In summary, measurement of HRV may contribute to early initiation of interventions in acute or chronic stroke patients using novel treatments involving rebalancing of autonomic nervous system function.
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Affiliation(s)
- Mengxi Zhao
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Ling Guan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yilong Wang
- Department of Neurology, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
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Hu MX, Milaneschi Y, Lamers F, Nolte IM, Snieder H, Dolan CV, Penninx BWJH, de Geus EJC. The association of depression and anxiety with cardiac autonomic activity: The role of confounding effects of antidepressants. Depress Anxiety 2019; 36:1163-1172. [PMID: 31622521 PMCID: PMC6916630 DOI: 10.1002/da.22966] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Revised: 08/22/2019] [Accepted: 10/02/2019] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Depression and anxiety may unfavorably impact on cardiac autonomic dysregulation. However, it is unclear whether this relationship results from a causal effect or may be attributable to confounding factors. We tested the relationship between depression and anxiety with heart rate (HR) and heart rate variability (HRV) across a 9-year follow-up (FU) period and investigated possible confounding by antidepressant use and genetic pleiotropy. METHODS Data (no. of observations = 6,994, 65% female) were obtained from the longitudinal Netherlands Study of Depression and Anxiety, with repeated waves of data collection of HR, HRV, depression, anxiety, and antidepressant use. Summary statistics from meta-analyses of genome-wide association studies were used to derive polygenic risk scores of depression, HR, and HRV. RESULTS Across the 9-year FU, generalized estimating equations analyses showed that the relationship between cardiac autonomic dysregulation and depression/anxiety rendered nonsignificant after adjusting for antidepressant use. A robust association was found between antidepressant use (especially tricyclic antidepressants, selective serotonin, and noradrenalin reuptake inhibitors) and unfavorable cardiac autonomic activity across all waves. However, no evidence was found for a genetic correlation of depression with HR and HRV, indicating that confounding by genetic pleiotropy is minimal. CONCLUSIONS Our results indicate that the association between depression/anxiety and cardiac autonomic dysregulation does not result from a causal pathway or genetic pleiotropy, and these traits might therefore not be inevitably linked. Previously reported associations were likely confounded by the use of certain classes of antidepressants.
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Affiliation(s)
- Mandy X. Hu
- Department of Psychiatry, Amsterdam Public Health Research Institute, Amsterdam UMCVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam Public Health Research Institute, Amsterdam UMCVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Femke Lamers
- Department of Psychiatry, Amsterdam Public Health Research Institute, Amsterdam UMCVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Ilja M. Nolte
- Department of Epidemiology, Medical Center GroningenUniversity of GroningenGroningenThe Netherlands
| | - Harold Snieder
- Department of Epidemiology, Medical Center GroningenUniversity of GroningenGroningenThe Netherlands
| | - Conor V. Dolan
- Department of Biological PsychologyVU UniversityAmsterdamThe Netherlands
| | - Brenda W. J. H. Penninx
- Department of Psychiatry, Amsterdam Public Health Research Institute, Amsterdam UMCVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Eco J. C. de Geus
- Department of Biological PsychologyVU UniversityAmsterdamThe Netherlands
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Slušnienė A, Laucevičius A, Navickas P, Ryliškytė L, Stankus V, Stankus A, Navickas R, Laucevičienė I, Kasiulevičius V. Daily Heart Rate Variability Indices in Subjects with and Without Metabolic Syndrome Before and After the Elimination of the Influence of Day-Time Physical Activity. ACTA ACUST UNITED AC 2019; 55:medicina55100700. [PMID: 31627461 PMCID: PMC6843357 DOI: 10.3390/medicina55100700] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Revised: 10/09/2019] [Accepted: 10/14/2019] [Indexed: 12/30/2022]
Abstract
Background and Objectives: The available research shows conflicting data on the heart rate variability (HRV) in metabolic syndrome (MetS) subjects. The discrepancy suggests a methodical shortcoming: due to the influence of physical activity, the standard measuring of HRV at rest is not comparable with HRV assessment based on 24 h Holter monitoring, which is preferred because of its comprehensiveness. To obtain a more reliable measure and to clarify to what extent HRV is altered in MetS, we assessed a 24 h HRV before and after the elimination of the influence of physical activity. Materials and Methods: We investigated 69 metabolic syndrome (MetS) and 37 control subjects, aged 50–55. In all subjects, 24 h monitoring of electrocardiogram, blood pressure, and actigraphy profiles were conducted. To eliminate the influence of day-time physical activity on RR intervals (RRI), a linear polynomial autoregressive model with exogenous terms (ARX) was used. Standard spectral RRI analysis was performed. Results: Subjects with MetS had blunted HRV; the diurnal SDNN index was reliably lower in the MetS group than in control subjects. The elimination of the influence of physical activity did not reveal a significant HRV change in long-term indices (SDNN, SDANN, and SD2), whilst adjacent RRI values (RMSSD, pNN50, and SD1) and SDNN index significantly increased (p < 0.001). An increase in the latter indices highlighted the HRV difference between the MetS and control groups; a significant (p < 0.001) decrease of all short-term HRV variables was found in the MetS group (p < 0.01), and low-frequency spectral components were less pronounced in the MetS group. Conclusion: The application of a polynomial autoregressive model in 24 h HRV assessment allowed for the exclusion of the influence of physical activity and revealed that MetS is associated with blunted HRV, which reflects mitigated parasympathetic tone.
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Affiliation(s)
- Anžela Slušnienė
- State Research Institute Centre for Innovative Medicine, LT-08406 Vilnius, Lithuania; (A.S.); (A.L.); (A.S.); (R.N.)
- InMedica, LT-08406 Vilnius, Lithuania
| | - Aleksandras Laucevičius
- State Research Institute Centre for Innovative Medicine, LT-08406 Vilnius, Lithuania; (A.S.); (A.L.); (A.S.); (R.N.)
- InMedica, LT-08406 Vilnius, Lithuania
- Faculty of Medicine, Vilnius University, LT-03101 Vilnius, Lithuania; (L.R.); (I.L.); (V.K.)
- Centre of Cardiology and Angiology, Vilnius University Hospital Santaros Klinikos, LT-08661 Vilnius, Lithuania
| | - Petras Navickas
- InMedica, LT-08406 Vilnius, Lithuania
- Faculty of Medicine, Vilnius University, LT-03101 Vilnius, Lithuania; (L.R.); (I.L.); (V.K.)
- Centre of Cardiology and Angiology, Vilnius University Hospital Santaros Klinikos, LT-08661 Vilnius, Lithuania
- Correspondence:
| | - Ligita Ryliškytė
- Faculty of Medicine, Vilnius University, LT-03101 Vilnius, Lithuania; (L.R.); (I.L.); (V.K.)
- Centre of Cardiology and Angiology, Vilnius University Hospital Santaros Klinikos, LT-08661 Vilnius, Lithuania
| | | | - Albinas Stankus
- State Research Institute Centre for Innovative Medicine, LT-08406 Vilnius, Lithuania; (A.S.); (A.L.); (A.S.); (R.N.)
| | - Rokas Navickas
- State Research Institute Centre for Innovative Medicine, LT-08406 Vilnius, Lithuania; (A.S.); (A.L.); (A.S.); (R.N.)
- Faculty of Medicine, Vilnius University, LT-03101 Vilnius, Lithuania; (L.R.); (I.L.); (V.K.)
| | - Ieva Laucevičienė
- Faculty of Medicine, Vilnius University, LT-03101 Vilnius, Lithuania; (L.R.); (I.L.); (V.K.)
- Centre of Rehabilitation, Vilnius University Hospital Santaros Klinikos, Physical and Sports Medicine, LT-08661 Vilnius, Lithuania
| | - Vytautas Kasiulevičius
- Faculty of Medicine, Vilnius University, LT-03101 Vilnius, Lithuania; (L.R.); (I.L.); (V.K.)
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Tegegne BS, Man T, van Roon AM, Snieder H, Riese H. Reference values of heart rate variability from 10-second resting electrocardiograms: the Lifelines Cohort Study. Eur J Prev Cardiol 2019; 27:2191-2194. [PMID: 31500461 PMCID: PMC7734556 DOI: 10.1177/2047487319872567] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Affiliation(s)
- Balewgizie S Tegegne
- Department of Epidemiology, University Medical Center Groningen, The Netherlands
| | - Tengfei Man
- Department of Epidemiology, University Medical Center Groningen, The Netherlands
| | - Arie M van Roon
- Department of Vascular Medicine, University Medical Center Groningen, The Netherlands
| | - Harold Snieder
- Department of Epidemiology, University Medical Center Groningen, The Netherlands
| | - Harriëtte Riese
- Department of Psychiatry, University Medical Center Groningen, The Netherlands
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Vila XA, Lado MJ, Cuesta-Morales P. Evidence Based Recommendations for Designing Heart Rate Variability Studies. J Med Syst 2019; 43:311. [PMID: 31451951 DOI: 10.1007/s10916-019-1437-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Accepted: 08/20/2019] [Indexed: 12/22/2022]
Abstract
Heart rate variability (HRV) analysis is a powerful instrument that provides information about the heart conditions. However, there exist some limitations in the use of HRV in the clinical practice. Examples are the lack of reference values for healthy populations, different HR (Heart Rate) acquisition systems, and varying software packages. Other factors that affect HRV values are the influence of lifestyle, drugs and alcohol consumption, and pollution. In this work, recommendations to perform HRV-based experiments were established. These suggestions refer to best moment of the day to record data, the optimal body position, and the quality and duration of the recorded signals. In this way, HR data from 6 healthy subjects (2 women, 4 men), with median age of 50 years old, were recorded during 15 days, 3 times a day. Recordings were performed in the following situations: both supine and sitting body positions, in the morning, in the afternoon and at night. Data were processed and HRV analysis was performed. Distorting factors affecting HRV have been determined. The most stable HRV indexes (less variation over the days) have also been established. For this task, a variation coefficient was calculated for each parameter, as the ratio between the standard deviation and the mean value. Results indicated that HR data should be recorded in the morning, the sitting position. Related to signals duration, when comparing HR signals, they should be of equal length (same recording time). In addition, HRVi (HRV triangular index) and MADRR (median of the absolute differences between adjacent RR intervals) resulted in the most robust indexes in both low and high frequency domains. For global indexes, the ApEn (approximate entropy) measure emerged as the most stable one. As a conclusion, researchers must be extremely cautious in studies involving HRV analysis; the moment of the day to record data, the body position, or the quality of recorded data will produce different HR signals, and thus, the values of the HRV parameters will be different in each case. This may clearly bias the conclusions of the study.
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Affiliation(s)
- Xosé A Vila
- Department of Computer Science, ESEI, University of Vigo, Campus As Lagoas, 32004, Ourense, Spain
| | - María J Lado
- Department of Computer Science, ESEI, University of Vigo, Campus As Lagoas, 32004, Ourense, Spain.
| | - P Cuesta-Morales
- Department of Computer Science, ESEI, University of Vigo, Campus As Lagoas, 32004, Ourense, Spain
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Spina GD, Gonze BB, Barbosa ACB, Sperandio EF, Dourado VZ. Presence of age- and sex-related differences in heart rate variability despite the maintenance of a suitable level of accelerometer-based physical activity. ACTA ACUST UNITED AC 2019; 52:e8088. [PMID: 31389489 PMCID: PMC6686273 DOI: 10.1590/1414-431x20198088] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2018] [Accepted: 05/21/2019] [Indexed: 12/26/2022]
Abstract
There is currently a lack of information adjacent on the influence of sex and age in heart rate variability (HRV), adjusted according to accelerometer-based physical activity (PADL). We hypothesized that the effect of sex and age on the HRV should be reduced or absent in individuals with a suitable PADL level. We aim to evaluate the influence of sex and age on HRV, adjusted for the confounding effects of the PADL level. A total of 485 age-stratified subjects (18–39, 40–59, and ≥60 years) underwent HRV analyses at rest and 7-day assessments of accelerometer-based PADL. Multivariate analyses of covariance were done using log-transformed HRV indices as outcomes, age and sex as fixed factors, and PADL, cardiovascular risk, fat body mass, and heart rate (HR) at rest as covariates. Despite the adjustment for directly measured PADL, women had better indices of vagal tone, whereas men had higher sympathetic influence. Also, compared to middle-aged and older adults, younger individuals (ages 18–39 years) presented better HRV. Multiple regression analyses confirmed that age and sex were the main predictors of HRV indices, even after adjusting for PADL directly assessed by triaxial accelerometer and HR. We also observed that the correlation between some HRV indexes and the different indexes of physical activity directly evaluated was significant, but not very consistent. Thus, HRV indices are influenced by age and sex, regardless of accelerometer-based physical activity. Interventions with physical activity and exercise aimed at improving the autonomic modulation of asymptomatic adults should take such differences into account.
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Affiliation(s)
- G D Spina
- Laboratório de Epidemiologia e Movimento Humano, Universidade Federal de São Paulo, Santos, SP, Brasil
| | - B B Gonze
- Laboratório de Epidemiologia e Movimento Humano, Universidade Federal de São Paulo, Santos, SP, Brasil
| | - A C B Barbosa
- Laboratório de Epidemiologia e Movimento Humano, Universidade Federal de São Paulo, Santos, SP, Brasil
| | - E F Sperandio
- Laboratório de Epidemiologia e Movimento Humano, Universidade Federal de São Paulo, Santos, SP, Brasil
| | - V Z Dourado
- Laboratório de Epidemiologia e Movimento Humano, Universidade Federal de São Paulo, Santos, SP, Brasil
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Lombardi F, Malik M. Reply to the Editor-10-second ECG-based RMSSD as approximate measure of HRV. Heart Rhythm 2019; 16:e35-e36. [PMID: 30391572 DOI: 10.1016/j.hrthm.2018.10.039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2018] [Indexed: 10/27/2022]
Affiliation(s)
- Federico Lombardi
- UOC Cardiologia, Fondazione IRCCS Ospedale Maggiore Policlinico, University of Milan, Milan, Italy.
| | - Marek Malik
- National Heart and Lung Institute, Imperial College, London, United Kingdom
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Dose-response relationship between very vigorous physical activity and cardiovascular health assessed by heart rate variability in adults: Cross-sectional results from the EPIMOV study. PLoS One 2019; 14:e0210216. [PMID: 30703127 PMCID: PMC6354985 DOI: 10.1371/journal.pone.0210216] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Accepted: 12/18/2018] [Indexed: 12/31/2022] Open
Abstract
The minimum amount of physical activity needed to obtain health benefits has been widely determined. Unlikely, the impact of extreme amounts of very vigorous physical activity (VVPA, ≥ 8 metabolic equivalents) to the heart remains controversial. We aimed to evaluate the dose-response relationship between VVPA and heart rate variability (HRV) in adults. We selected 1040 asymptomatic individuals (60% women, 42 ± 15 years, 28 ± 6 kg/m2) from the Epidemiology and Human Movement Study (EPIMOV). Participants remained in the supine position for 10 min, and we selected an intermediate 5-min window for HRV analysis. The standard deviation of the RR intervals, root mean square of RR intervals, successive RR intervals that differ > 50 ms, powers of the low-and high-frequency bands and Poincaré plot standard deviations were quantified. Participants used a triaxial accelerometer (Actigraph GT3x+) above the dominant hip for 4-7 consecutive days for quantifying their physical activity. We also evaluated the maximum oxygen uptake ([Formula: see text]) during an exercise test. We stratified participants into five groups according to the VVPA in min/week (group 1, ≤ 1.50; 2, 1.51-3.16; 3, 3.17-3.54; 4, 3.55-20.75; and 5, > 20.75). The linear trends of the HRV through the quintiles of VVPA were investigated. We used logarithmic transformations to compare the five groups adjusted for age, sex, cardiovascular risk, and [Formula: see text]. We found a better HRV with increased VVPA for all HRV indices studied (p trend < 0.05). However, group 5 did not differ from group 4 (p > 0.05) for none of the indices. We conclude that there is an incremental benefit of VVPA on HRV of asymptomatic adults. Since we found neither additional benefits nor the harmful impact of amounts of VVPA as high as 22 min/week on HRV, our results should not discourage asymptomatic adults to perform VVPA.
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Favilla R, Zuccala VC, Coppini G. Heart Rate and Heart Rate Variability From Single-Channel Video and ICA Integration of Multiple Signals. IEEE J Biomed Health Inform 2018; 23:2398-2408. [PMID: 30418892 DOI: 10.1109/jbhi.2018.2880097] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Unobtrusive monitoring of vital signs is relevant for both medical (patient monitoring) and non-medical applications (e.g., stress and fatigue monitoring). In this paper, we focus on the use of imaging photoplethysmography (iPPG). High frame rate videos were acquired by using a monochrome camera and an optical band-pass filter ([Formula: see text] nm). To enhance iPPG signal, we investigated the use of independent component analysis (ICA) pre-processing applied to iPPG signal from different regions of the face. Methodology was tested on [Formula: see text] healthy volunteers. Heart rate (HR) and standard time and frequency domain descriptors of heart rate variability (HRV), simultaneously extracted from videos and ECG data, were compared. A mean absolute error (MAE) about 3.812 ms was observed for normal-to-normal intervals with or without ICA pre-processing. Smaller MAE values of frequency domain descriptors were observed when ICA pre-processing was used. The impact of both video frame rate and video signal interval were also analyzed. All the results support the conclusion that proposed ICA pre-processing can effectively improve the HR and HRV assessment from iPPG.
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Tegegne BS, Man T, van Roon AM, Riese H, Snieder H. To the Editor-10-second ECG-based RMSSD as valid measure of HRV. Heart Rhythm 2018; 16:e35. [PMID: 30391570 DOI: 10.1016/j.hrthm.2018.10.038] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2018] [Indexed: 11/25/2022]
Affiliation(s)
- Balewgizie Sileshi Tegegne
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Tengfei Man
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Gronigen, The Netherlands
| | - Arie M van Roon
- Department of Vascular Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Harriëtte Riese
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
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Lombardi F, Huikuri H, Schmidt G, Malik M. Short-term heart rate variability: Easy to measure, difficult to interpret. Heart Rhythm 2018; 15:1559-1560. [DOI: 10.1016/j.hrthm.2018.05.023] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2018] [Indexed: 11/28/2022]
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Herbell K, Zauszniewski JA. Reducing Psychological Stress in Peripartum Women With Heart Rate Variability Biofeedback: A Systematic Review. J Holist Nurs 2018; 37:273-285. [PMID: 29944076 DOI: 10.1177/0898010118783030] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Peripartum women are exposed to a variety of stressors that have adverse health consequences for the maternal-child dyad (e.g., impaired bonding). To combat these adverse health consequences, heart rate variability biofeedback (HRVBF) may be implemented by holistic nurses to aid peripartum women experiencing a high level of stress. A systematic review was completed using the guidelines established in the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement. To be included in the review, studies had to meet the following criteria: (a) published scientific articles, (b) studies published in English, (c) experimental, quasi-experimental, or case reports, (d) use of HRVBF as the main treatment, (e) use of psychological stress as a dependent variable, and (f) studies published until December 2017. The major findings of this review can be described as follows: (a) HRVBF and psychological stress in peripartum women are related concepts, (b) peripartum women who completed HRVBF report a reduction in stress compared with participants who did not receive HRVBF, and (c) there is currently no information on the effectiveness of HRVBF on psychological stress in the first and early second trimester of pregnancy. Overall, this systematic review of the literature provides objective evidence that HRVBF may be a potential beneficial adjuvant treatment for stress management in peripartum women.
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