51
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Haraldsdottir K, Watson AM, Goss KN, Beshish AG, Pegelow DF, Palta M, Tetri LH, Barton GP, Brix MD, Centanni RM, Eldridge MW. Impaired autonomic function in adolescents born preterm. Physiol Rep 2018; 6:e13620. [PMID: 29595875 PMCID: PMC5875539 DOI: 10.14814/phy2.13620] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2018] [Accepted: 01/25/2018] [Indexed: 01/01/2023] Open
Abstract
Preterm birth temporarily disrupts autonomic nervous system (ANS) development, and the long-term impacts of disrupted fetal development are unclear in children. Abnormal cardiac ANS function is associated with worse health outcomes, and has been identified as a risk factor for cardiovascular disease. We used heart rate variability (HRV) in the time domain (standard deviation of RR intervals, SDRR; and root means squared of successive differences, RMSSD) and frequency domain (high frequency, HF; and low frequency, LF) at rest, as well as heart rate recovery (HRR) following maximal exercise, to assess autonomic function in adolescent children born preterm. Adolescents born preterm (less than 36 weeks gestation at birth) in 2003 and 2004 and healthy age-matched full-term controls participated. Wilcoxon Rank Sum tests were used to compare variables between control and preterm groups. Twenty-one adolescents born preterm and 20 term-born controls enrolled in the study. Preterm-born subjects had lower time-domain HRV, including SDRR (69.1 ± 33.8 vs. 110.1 ± 33.0 msec, respectively, P = 0.008) and RMSSD (58.8 ± 38.2 vs. 101.5 ± 36.2 msec, respectively, P = 0.012), with higher LF variability in preterm subjects. HRR after maximal exercise was slower in preterm-born subjects at 1 min (30 ± 12 vs. 39 ± 9 bpm, respectively, P = 0.013) and 2 min (52 ± 10 vs. 60 ± 10 bpm, respectively, P = 0.016). This study is the first report of autonomic dysfunction in adolescents born premature. Given prior association of impaired HRV with adult cardiovascular disease, additional investigations into the mechanisms of autonomic dysfunction in this population are warranted.
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Affiliation(s)
- Kristin Haraldsdottir
- Department of PediatricsUniversity of WisconsinMadisonWisconsin
- Department of KinesiologyUniversity of WisconsinMadisonWisconsin
| | - Andrew M. Watson
- Department of Orthopedics & RehabilitationUniversity of WisconsinMadisonWisconsin
| | - Kara N. Goss
- Department of PediatricsUniversity of WisconsinMadisonWisconsin
- Department of MedicineUniversity of WisconsinMadisonWisconsin
| | - Arij G. Beshish
- Department of PediatricsUniversity of WisconsinMadisonWisconsin
| | | | - Mari Palta
- Department of Biostatistics and Medical InformaticsUniversity of WisconsinMadisonWisconsin
| | - Laura H. Tetri
- Department of PediatricsUniversity of WisconsinMadisonWisconsin
| | | | - Melissa D. Brix
- Department of PediatricsUniversity of WisconsinMadisonWisconsin
| | | | - Marlowe W. Eldridge
- Department of PediatricsUniversity of WisconsinMadisonWisconsin
- Department of KinesiologyUniversity of WisconsinMadisonWisconsin
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52
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Wu MN, Lai CL, Liu CK, Yen CW, Liou LM, Hsieh CF, Tsai MJ, Chen SCJ, Hsu CY. Basal sympathetic predominance in periodic limb movements in sleep after continuous positive airway pressure. Sleep Breath 2018; 22:1005-1012. [PMID: 29335917 DOI: 10.1007/s11325-018-1620-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2017] [Revised: 11/16/2017] [Accepted: 01/03/2018] [Indexed: 12/19/2022]
Abstract
PURPOSE This study investigated the basal autonomic regulation in patients with obstructive sleep apnea (OSA) showing periodic limb movements in sleep (PLMS) emerging after therapy with continuous positive airway pressure (CPAP). METHODS Data of patients with OSA undergoing a first polysomnography for diagnosis and a second polysomnography for therapy with CPAP were reviewed. Patients with OSA showing PLMS on the first polysomnography were excluded. By using heart rate variability analysis, epochs without any sleep events and continuous effects from the second polysomnography were retrospectively analyzed. RESULTS Of 125 eligible patients, 30 with PLMS after therapy with CPAP (PLMS group) and 30 not showing PLMS on both polysomnography (non-PLMS group) were randomly selected for the analysis. No significant differences in the demographic characteristics and variables of polysomnographies were identified between the groups. Although one trend of low root mean square of successive differences (RMSSD) between intervals of adjacent normal heart beats (NN intervals) in the PLMS group was observed, patients in the PLMS group had significantly low normalized high-frequency (n-HF) and high-frequency (HF) values, but high normalized low frequency (n-LF) and high ratio of LF to HF (LF/HF ratio). After adjustment for confounding variables, PLMS on the second polysomnography was significantly associated with RMSSD (β = - 6.7587, p = 0.0338), n-LF (β = 0.0907, p = 0.0148), n-HF (β = - 0.0895, p = 0.0163), log LF/HF ratio (β = 0.4923, p = 0.0090), and log HF (β = - 0.6134, p = 0.0199). CONCLUSIONS Patients with OSA showing PLMS emerging after therapy with CPAP may have a basal sympathetic predominance with potential negative cardiovascular effects.
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Affiliation(s)
- Meng-Ni Wu
- Department of Neurology, Kaohsiung Medical University Hospital, No. 100, Tzyou 1st Road, Kaohsiung City, 80754, Taiwan.,Department of Master's Program in Neurology, Kaohsiung Medical University, No. 100, Tzyou 1st Road, Kaohsiung City, 80754, Taiwan
| | - Chiou-Lian Lai
- Department of Neurology, Kaohsiung Medical University Hospital, No. 100, Tzyou 1st Road, Kaohsiung City, 80754, Taiwan.,Department of Master's Program in Neurology, Kaohsiung Medical University, No. 100, Tzyou 1st Road, Kaohsiung City, 80754, Taiwan
| | - Ching-Kuan Liu
- Department of Neurology, Kaohsiung Medical University Hospital, No. 100, Tzyou 1st Road, Kaohsiung City, 80754, Taiwan.,Department of Master's Program in Neurology, Kaohsiung Medical University, No. 100, Tzyou 1st Road, Kaohsiung City, 80754, Taiwan
| | - Chen-Wen Yen
- Department of Mechanical and Electro-mechanical Engineering, National Sun Yat-Sen University, 70 Lienhai Rd., Kaohsiung, 80424, Taiwan
| | - Li-Min Liou
- Department of Neurology, Kaohsiung Medical University Hospital, No. 100, Tzyou 1st Road, Kaohsiung City, 80754, Taiwan.,Department of Master's Program in Neurology, Kaohsiung Medical University, No. 100, Tzyou 1st Road, Kaohsiung City, 80754, Taiwan
| | - Cheng-Fang Hsieh
- Department of Neurology, Kaohsiung Medical University Hospital, No. 100, Tzyou 1st Road, Kaohsiung City, 80754, Taiwan.,Division of Geriatrics and Gerontology, Department of Internal Medicine, Kaohsiung Medical University Hospital, No. 100, Tzyou 1st Road, Kaohsiung City, 80754, Taiwan.,Faculty of Medicine and Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, No. 100, Tzyou 1st Road, Kaohsiung City, 80754, Taiwan
| | - Ming-Ju Tsai
- Faculty of Medicine and Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, No. 100, Tzyou 1st Road, Kaohsiung City, 80754, Taiwan.,Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Kaohsiung Medical University Hospital, No. 100, Tzyou 1st Road, Kaohsiung City, 80754, Taiwan
| | - Sharon Chia-Ju Chen
- Department of Medical Imaging and Radiation Sciences, Kaohsiung Medical University, No. 100, Tzyou 1st Road, Kaohsiung City, 80754, Taiwan
| | - Chung-Yao Hsu
- Department of Neurology, Kaohsiung Medical University Hospital, No. 100, Tzyou 1st Road, Kaohsiung City, 80754, Taiwan. .,Department of Master's Program in Neurology, Kaohsiung Medical University, No. 100, Tzyou 1st Road, Kaohsiung City, 80754, Taiwan.
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53
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Zeki Al Hazzouri A, Elfassy T, Carnethon MR, Lloyd-Jones DM, Yaffe K. Heart Rate Variability and Cognitive Function In Middle-Age Adults: The Coronary Artery Risk Development in Young Adults. Am J Hypertens 2017; 31:27-34. [PMID: 28985245 PMCID: PMC5861561 DOI: 10.1093/ajh/hpx125] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2017] [Revised: 04/28/2017] [Accepted: 07/10/2017] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Low heart rate variability (HRV), a marker of cardiac autonomic dysfunction, has been associated with major risk factors of cognitive impairment. Yet, the direct association of HRV with cognitive function remains relatively unexplored, particularly in midlife. METHODS In 2005, 2 measures of short-term HRV, the SD of normal-to-normal intervals (SDNN) and the root mean square of successive differences (RMSSD), were calculated for participants of the Coronary Artery Risk Development in Young Adults study, and then categorized into quartiles. Five years later, 3 cognitive tests were administered for verbal memory ("Rey Auditory-Verbal Learning Test", RAVLT, range 0-15), processing speed ("Digit Symbol Substitution Test", DSST, range 0-133), and executive function ("Stroop interference"). RESULTS Two thousand one hundred and eighteen participants (57.7% female, 42.2% Black) with a mean baseline age of 45.3 years were included in this analysis. In demographic-adjusted models, compared to participants with quartile 1 SDNN (lowest quartile), participants in the upper quartiles of SDNN scored better on the DSST (quartile 4: β = 1.83 points better, P = 0.03; and quartile 3: β = 1.95 points better, P = 0.03) and on the stroop (quartile 3: β = 1.19 points better, P < 0.05; and quartile2: β = 1.44 points better, P = 0.02). After adjusting for behavioral and cardiovascular risk factors, higher quartile SDNN remained significantly associated with better stroop score (quartile 3: β = 1.21 points better, P = 0.04; and quartile 2: β = 1.72 points better, P < 0.01) but not with DSST. There was no association between quartile of RMSSD and cognitive function, from fully adjusted models. CONCLUSIONS Our findings suggest that higher quartile SDDN is associated with better executive function in midlife, above, and beyond cardiovascular risk factors.
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Affiliation(s)
- Adina Zeki Al Hazzouri
- Division of Epidemiology, Department of Public Health Sciences, Miller School of Medicine, University of Miami, USA
| | - Tali Elfassy
- Division of Epidemiology, Department of Public Health Sciences, Miller School of Medicine, University of Miami, USA
| | - Mercedes R Carnethon
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, USA
| | - Donald M Lloyd-Jones
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, USA
| | - Kristine Yaffe
- Departments of Neurology, Psychiatry, Epidemiology and Biostatics, University of California San Francisco, USA
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54
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Graff S, Mario F, Magalhães J, Moraes R, Spritzer P. Saturated Fat Intake Is Related to Heart Rate Variability in Women with Polycystic Ovary Syndrome. ANNALS OF NUTRITION AND METABOLISM 2017; 71:224-233. [DOI: 10.1159/000484325] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2017] [Accepted: 10/06/2017] [Indexed: 11/19/2022]
Abstract
Background/Aims: There is a heightened risk for cardiovascular diseases in women with polycystic ovary syndrome (PCOS). Alterations in heart rate variability (HRV) may reflect subclinical cardiovascular disease, with a putative association between HRV and dietary fat. This study evaluated HRV in PCOS and control women based on the dietary intake of saturated fatty acid (SFA). Methods: Biochemical/hormonal profile, resting metabolic rate, physical activity, HRV in response to the Stroop test, and dietary intake were assessed in 84 PCOS and 54 control women stratified by median SFA intake in the PCOS group (8.5% of daily energy intake). Results: Body mass index (p = 0.041), blood pressure (p < 0.01), and HOMA-IR (p = 0.003) were higher in PCOS vs. controls. PCOS women had higher testosterone (p = 0.001), dehydroepiandrosterone sulfate (p = 0.012), and free androgen index (p = 0.001), and lower sex hormone-binding globulin levels than controls (p = 0.001). In both groups, the clinical profile and calorie intake were similar between SFA categories. In PCOS, testosterone was lower when SFA intake <8.5%. PCOS women with SFA <8.5% consumed more beans, fruits, and vegetables and had better frequency and time domain HRV indices. No differences in HRV were detected between SFA categories in controls. In PCOS, age and SFA intake were independent predictors of HRV. Conclusions: Lower SFA intake is related to improved cardiovascular autonomic function in PCOS.
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55
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Entropy Analysis of Short-Term Heartbeat Interval Time Series during Regular Walking. ENTROPY 2017. [DOI: 10.3390/e19100568] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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56
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Nolte IM, Munoz ML, Tragante V, Amare AT, Jansen R, Vaez A, von der Heyde B, Avery CL, Bis JC, Dierckx B, van Dongen J, Gogarten SM, Goyette P, Hernesniemi J, Huikari V, Hwang SJ, Jaju D, Kerr KF, Kluttig A, Krijthe BP, Kumar J, van der Laan SW, Lyytikäinen LP, Maihofer AX, Minassian A, van der Most PJ, Müller-Nurasyid M, Nivard M, Salvi E, Stewart JD, Thayer JF, Verweij N, Wong A, Zabaneh D, Zafarmand MH, Abdellaoui A, Albarwani S, Albert C, Alonso A, Ashar F, Auvinen J, Axelsson T, Baker DG, de Bakker PIW, Barcella M, Bayoumi R, Bieringa RJ, Boomsma D, Boucher G, Britton AR, Christophersen I, Dietrich A, Ehret GB, Ellinor PT, Eskola M, Felix JF, Floras JS, Franco OH, Friberg P, Gademan MGJ, Geyer MA, Giedraitis V, Hartman CA, Hemerich D, Hofman A, Hottenga JJ, Huikuri H, Hutri-Kähönen N, Jouven X, Junttila J, Juonala M, Kiviniemi AM, Kors JA, Kumari M, Kuznetsova T, Laurie CC, Lefrandt JD, Li Y, Li Y, Liao D, Limacher MC, Lin HJ, Lindgren CM, Lubitz SA, Mahajan A, McKnight B, Zu Schwabedissen HM, Milaneschi Y, Mononen N, Morris AP, Nalls MA, Navis G, Neijts M, Nikus K, North KE, O'Connor DT, Ormel J, Perz S, Peters A, Psaty BM, Raitakari OT, Risbrough VB, Sinner MF, Siscovick D, Smit JH, Smith NL, Soliman EZ, Sotoodehnia N, Staessen JA, Stein PK, Stilp AM, Stolarz-Skrzypek K, Strauch K, Sundström J, Swenne CA, Syvänen AC, Tardif JC, Taylor KD, Teumer A, Thornton TA, Tinker LE, Uitterlinden AG, van Setten J, Voss A, Waldenberger M, Wilhelmsen KC, Willemsen G, Wong Q, Zhang ZM, Zonderman AB, Cusi D, Evans MK, Greiser HK, van der Harst P, Hassan M, Ingelsson E, Järvelin MR, Kääb S, Kähönen M, Kivimaki M, Kooperberg C, Kuh D, Lehtimäki T, Lind L, Nievergelt CM, O'Donnell CJ, Oldehinkel AJ, Penninx B, Reiner AP, Riese H, van Roon AM, Rioux JD, Rotter JI, Sofer T, Stricker BH, Tiemeier H, Vrijkotte TGM, Asselbergs FW, Brundel BJJM, Heckbert SR, Whitsel EA, den Hoed M, Snieder H, de Geus EJC. Genetic loci associated with heart rate variability and their effects on cardiac disease risk. Nat Commun 2017; 8:15805. [PMID: 28613276 PMCID: PMC5474732 DOI: 10.1038/ncomms15805] [Citation(s) in RCA: 74] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2017] [Accepted: 05/08/2017] [Indexed: 01/15/2023] Open
Abstract
Reduced cardiac vagal control reflected in low heart rate variability (HRV) is associated with greater risks for cardiac morbidity and mortality. In two-stage meta-analyses of genome-wide association studies for three HRV traits in up to 53,174 individuals of European ancestry, we detect 17 genome-wide significant SNPs in eight loci. HRV SNPs tag non-synonymous SNPs (in NDUFA11 and KIAA1755), expression quantitative trait loci (eQTLs) (influencing GNG11, RGS6 and NEO1), or are located in genes preferentially expressed in the sinoatrial node (GNG11, RGS6 and HCN4). Genetic risk scores account for 0.9 to 2.6% of the HRV variance. Significant genetic correlation is found for HRV with heart rate (-0.74<rg<-0.55) and blood pressure (-0.35<rg<-0.20). These findings provide clinically relevant biological insight into heritable variation in vagal heart rhythm regulation, with a key role for genetic variants (GNG11, RGS6) that influence G-protein heterotrimer action in GIRK-channel induced pacemaker membrane hyperpolarization.
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Affiliation(s)
- Ilja M Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, PO Box 30001, Groningen 9700 RB, The Netherlands
| | - M Loretto Munoz
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, PO Box 30001, Groningen 9700 RB, The Netherlands
| | - Vinicius Tragante
- Department of Cardiology, Division Heart and Lungs, University Medical Center Utrecht, Heidelberglaan 100, Utrecht 3584CX, The Netherlands
| | - Azmeraw T Amare
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, PO Box 30001, Groningen 9700 RB, The Netherlands.,Department of Epidemiology, School of Medicine, University of Adelaide, Adelaide, South Australia 5005, Australia.,College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar 6000, Ethiopia
| | - Rick Jansen
- Department of Psychiatry, EMGO Institute for Health and Care Research and Neuroscience Campus Amsterdam, VU University Medical Center/GGZ inGeest, Amsterdam 1081 BT, The Netherlands
| | - Ahmad Vaez
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, PO Box 30001, Groningen 9700 RB, The Netherlands.,School of Medicine, Isfahan University of Medical Sciences, Isfahan 81746-73461, Iran
| | - Benedikt von der Heyde
- Department of Medical Sciences, Molecular Epidemiology, Uppsala University, Uppsala 75237, Sweden.,Science for Life Laboratory, Uppsala University, Uppsala 75237, Sweden
| | - Christy L Avery
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina 27599, USA
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington 98104, USA
| | - Bram Dierckx
- Department of Child and Adolescent Psychiatry/Psychology, Department of Child and Adolescent Psychiatry, PO Box 2060, Rotterdam 3000 CB, The Netherlands.,The Generation R Study Group, Erasmus MC, PO Box 2060, Rotterdam 3000 CB, The Netherlands
| | - Jenny van Dongen
- Department of Biological Psychology, Behavioral and Movement Sciences, VU University, Amsterdam 1081 BT, The Netherlands
| | - Stephanie M Gogarten
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, Washington 98195, USA
| | | | - Jussi Hernesniemi
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere 33520, Finland.,Department of Clinical Chemistry, University of Tampere School of Medicine, Tampere 33014, Finland.,Department of Cardiology, Heart Hospital, Tampere University Hospital, Tampere 33521, Finland
| | - Ville Huikari
- Center for Life Course Health Research, University of Oulu, Oulu 90014, Finland
| | - Shih-Jen Hwang
- Framingham Heart Study, Framingham, Massachusetts 01702, USA.,Population Sciences Branch, National Heart, Lung and Blood Institute, Bethesda, Maryland 20892, USA
| | - Deepali Jaju
- Department of Clinical Physiology, Sultan Qaboos University Hospital, Muscat-Al Khoudh 123, Sultanate of Oman
| | - Kathleen F Kerr
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, Washington 98195, USA
| | - Alexander Kluttig
- Institute of Medical Epidemiology, Biostatistics and Informatics, Martin-Luther-University Halle-Wittenberg, Halle (Saale) 06097, Germany
| | - Bouwe P Krijthe
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, PO Box 2060, Rotterdam 3000 CB, The Netherlands
| | - Jitender Kumar
- Department of Medical Sciences, Molecular Epidemiology, Uppsala University, Uppsala 75237, Sweden.,Science for Life Laboratory, Uppsala University, Uppsala 75237, Sweden
| | - Sander W van der Laan
- Laboratory of Experimental Cardiology, Department of Heart and Lung, University Medical Center Utrecht, Heidelberglaan 100, Utrecht 3584 CX, The Netherlands
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere 33520, Finland.,Department of Clinical Chemistry, University of Tampere School of Medicine, Tampere 33014, Finland
| | - Adam X Maihofer
- Department of Psychiatry, University of California, San Diego, San Diego, California 92093, USA.,Center for Stress and Mental Health (CESAMH), VA San Diego Healthcare System, San Diego, California 92161, USA
| | - Arpi Minassian
- Department of Psychiatry, University of California, San Diego, San Diego, California 92093, USA.,Center for Stress and Mental Health (CESAMH), VA San Diego Healthcare System, San Diego, California 92161, USA
| | - Peter J van der Most
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, PO Box 30001, Groningen 9700 RB, The Netherlands
| | - Martina Müller-Nurasyid
- Institute of Genetic Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg 85764, Germany.,Department of Medicine, University Hospital Munich, Ludwig-Maximilians-University, Munich 80539, Germany.,DZHK (German Centre for Cardiovascular Research), Partner site Munich Heart Alliance, Munich 80336, Germany
| | - Michel Nivard
- Department of Biological Psychology, Behavioral and Movement Sciences, VU University, Amsterdam 1081 BT, The Netherlands.,EMGO+ Institute for Health and Care Research, VU University &VU University Medical Center, Amsterdam 1081 HV, The Netherlands
| | - Erika Salvi
- Department of Health Sciences, University of Milano, Milano 20122, Italy
| | - James D Stewart
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina 27599, USA.,Carolina Population Center, University of North Carolina, Chapel Hill, North Carolina 27599, USA
| | - Julian F Thayer
- Department of Psychology, The Ohio State University, 1835 Neil Avenue, Columbus, Ohio 43210, USA
| | - Niek Verweij
- Department of Cardiology, University of Groningen, University Medical Center Groningen, PO Box 30001, Groningen 9700 RB, The Netherlands
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing, University College London, 33 Bedford Place, London WC1B 5JU, UK
| | - Delilah Zabaneh
- Institute of Psychiatry, Psychology &Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, UK.,University College London Genetics Institute, University College London, London WC1E 6BT, UK
| | - Mohammad H Zafarmand
- Department of Public Health, Academic Medical Center (AMC), University of Amsterdam, Amsterdam 1105 AZ, The Netherlands.,Department of Obstetrics and Gynaecology, Academic Medical Centre, University of Amsterdam, Amsterdam 1105 AZ, The Netherlands
| | - Abdel Abdellaoui
- Department of Biological Psychology, Behavioral and Movement Sciences, VU University, Amsterdam 1081 BT, The Netherlands.,EMGO+ Institute for Health and Care Research, VU University &VU University Medical Center, Amsterdam 1081 HV, The Netherlands
| | - Sulayma Albarwani
- Department of Physiology, College of Medicine and Health Sciences, Sultan Qaboos University, Muscat Al-Khoudh 123, Sultanate of Oman
| | - Christine Albert
- Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Alvaro Alonso
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, USA
| | - Foram Ashar
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA
| | - Juha Auvinen
- Center for Life Course Health Research, University of Oulu, Oulu 90014, Finland.,Unit of Primary Health Care, Oulu University Hospital, Oulu 90220, Finland
| | - Tomas Axelsson
- Department of Medical Sciences, Molecular Medicine, Uppsala University, Uppsala 75237, Sweden
| | - Dewleen G Baker
- Center for Stress and Mental Health (CESAMH), VA San Diego Healthcare System, San Diego, California 92161, USA.,Department of Psychiatry, University of California, San Diego, San Diego, California 92093, USA
| | - Paul I W de Bakker
- Department of Genetics, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht 3584 CX, The Netherlands.,Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Matteo Barcella
- Department of Health Sciences, University of Milano, Milano 20122, Italy
| | - Riad Bayoumi
- College of Medicine, Mohammed Bin Rashid University, PO Box 505055, Dubai Healthcare City, United Arab Emirates
| | - Rob J Bieringa
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, PO Box 30001, Groningen 9700 RB, The Netherlands
| | - Dorret Boomsma
- Department of Biological Psychology, Behavioral and Movement Sciences, VU University, Amsterdam 1081 BT, The Netherlands.,EMGO+ Institute for Health and Care Research, VU University &VU University Medical Center, Amsterdam 1081 HV, The Netherlands
| | | | - Annie R Britton
- Department of Epidemiology and Public Health, University College London, London WC1E 6BT, UK
| | - Ingrid Christophersen
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts 02114, USA.,Program in Medical and Population Genetics, The Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02114, USA.,Department of Medical Research, Bærum Hospital, Vestre Viken Hospital Trust, Rud 1346, Norway
| | - Andrea Dietrich
- Department of Child- and Adolescent Psychiatry, University of Groningen, University Medical Center Groningen, PO Box 30001, Groningen 9700 RB, The Netherlands
| | - George B Ehret
- Center for Complex Disease Genomics, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA.,Cardiology, Department of Specialties of Internal Medicine, Geneva University Hospital, Geneva 1211, Switzerland
| | - Patrick T Ellinor
- Program in Medical and Population Genetics, The Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02114, USA.,Cardiac Arrhythmia Service &Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
| | - Markku Eskola
- Department of Cardiology, Heart Hospital, Tampere University Hospital, Tampere 33521, Finland.,Department of Cardiology, University of Tampere School of Medicine, Tampere 33014, Finland
| | - Janine F Felix
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, PO Box 2060, Rotterdam 3000 CB, The Netherlands
| | - John S Floras
- University Health Network and Mount Sinai Hospital Division of Cardiology, Department of Medicine, University of Toronto, Ontario, Canada M5S.,Toronto General Research Institute, University Health Network, Toronto, Canada
| | - Oscar H Franco
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, PO Box 2060, Rotterdam 3000 CB, The Netherlands
| | - Peter Friberg
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska University Hospital, University of Gothenburg, Gothenburg, Sweden
| | - Maaike G J Gademan
- Department of Public Health, Academic Medical Center (AMC), University of Amsterdam, Amsterdam 1105 AZ, The Netherlands
| | - Mark A Geyer
- Department of Psychiatry, University of California, San Diego, San Diego, California 92093, USA
| | - Vilmantas Giedraitis
- Department of Public Health and Caring Sciences, Molecular Geriatrics, Uppsala University, Uppsala 75237, Sweden
| | - Catharina A Hartman
- Interdisciplinary Center Psychopathology and Emotion regulation, Department of Psychiatry, University of Groningen, University Medical Center Groningen, PO Box 30001, Groningen 9700 RB, The Netherlands
| | - Daiane Hemerich
- Department of Cardiology, Division Heart and Lungs, University Medical Center Utrecht, Heidelberglaan 100, Utrecht 3584CX, The Netherlands.,CAPES Foundation, Ministry of Education of Brazil, Brasília DF 70040-020, Brazil
| | - Albert Hofman
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, PO Box 2060, Rotterdam 3000 CB, The Netherlands
| | - Jouke-Jan Hottenga
- Department of Biological Psychology, Behavioral and Movement Sciences, VU University, Amsterdam 1081 BT, The Netherlands.,EMGO+ Institute for Health and Care Research, VU University &VU University Medical Center, Amsterdam 1081 HV, The Netherlands
| | - Heikki Huikuri
- Research Unit of Internal Medicine, Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu 90220, Finland
| | - Nina Hutri-Kähönen
- Department of Pediatrics, Tampere University Hospital, Tampere 33521, Finland.,Department of Pediatrics, University of Tampere School of Medicine, Tampere 33014, Finland
| | - Xavier Jouven
- INSERM U970, Paris Descartes University, Paris 75006, France
| | - Juhani Junttila
- Research Unit of Internal Medicine, Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu 90220, Finland
| | - Markus Juonala
- Department of Medicine, University of Turku, Turku 20520, Finland.,Division of Medicine, Turku University Hospital, Turku 20521, Finland
| | - Antti M Kiviniemi
- Research Unit of Internal Medicine, Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu 90220, Finland
| | - Jan A Kors
- Department of Medical Informatics, Erasmus Medical Center, Rotterdam 3015 CE, The Netherlands
| | - Meena Kumari
- Department of Epidemiology and Public Health, University College London, London WC1E 6BT, UK.,ISER, Essex University, Colchester, Essex CO4 3SQ, UK
| | - Tatiana Kuznetsova
- Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven 3000, Belgium
| | - Cathy C Laurie
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, Washington 98195, USA
| | - Joop D Lefrandt
- Department of Internal Medicine, Division of Vascular Medicine, University of Groningen, University Medical Center Groningen, PO Box 30001, Groningen 9700 RB, The Netherlands
| | - Yong Li
- Division of Genetic Epidemiology, Institute for Medical Biometry and Statistics, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg 79110, Germany
| | - Yun Li
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599, USA.,Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina 27599, USA.,Department of Computer Science, University of North Carolina, Chapel Hill, North Carolina 27599, USA
| | - Duanping Liao
- Division of Epidemiology, Department of Public Health Sciences, Penn State University College of Medicine, Hershey, Pennsylvania 17033, USA
| | - Marian C Limacher
- Division of Cardiovascular Medicine, University of Florida College of Medicine, Gainesville, Florida 32611, USA
| | - Henry J Lin
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, California 90502, USA.,Division of Medical Genetics, Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, California 90502, USA
| | - Cecilia M Lindgren
- Li Ka Shing Centre for Health Information and Discovery, The Big Data Institute, University of Oxford, Oxford OX3 7BN, UK.,Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Steven A Lubitz
- Program in Medical and Population Genetics, The Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02114, USA.,Cardiac Arrhythmia Service &Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
| | - Anubha Mahajan
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Barbara McKnight
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington 98104, USA.,Department of Biostatistics, School of Public Health, University of Washington, Seattle, Washington 98195, USA.,Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | | | - Yuri Milaneschi
- Department of Psychiatry, EMGO Institute for Health and Care Research and Neuroscience Campus Amsterdam, VU University Medical Center/GGZ inGeest, Amsterdam 1081 BT, The Netherlands
| | - Nina Mononen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere 33520, Finland.,Department of Clinical Chemistry, University of Tampere School of Medicine, Tampere 33014, Finland
| | - Andrew P Morris
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK.,Department of Biostatistics, University of Liverpool, Liverpool L69 3GL, UK
| | - Mike A Nalls
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Gerjan Navis
- Department of Internal Medicine, Division of Nephrology, University of Groningen, University Medical Center Groningen, PO Box 30001, Groningen 9700 RB, The Netherlands
| | - Melanie Neijts
- Department of Biological Psychology, Behavioral and Movement Sciences, VU University, Amsterdam 1081 BT, The Netherlands.,EMGO+ Institute for Health and Care Research, VU University &VU University Medical Center, Amsterdam 1081 HV, The Netherlands
| | - Kjell Nikus
- Department of Cardiology, Heart Hospital, Tampere University Hospital, Tampere 33521, Finland.,Department of Cardiology, University of Tampere, School of Medicine, Tampere 33014, Finland
| | - Kari E North
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina 27599, USA.,Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, North Carolina 27599, USA
| | - Daniel T O'Connor
- Department of Medicine, University of California, San Diego, San Diego, California 92093, USA
| | - Johan Ormel
- Interdisciplinary Center Psychopathology and Emotion regulation, Department of Psychiatry, University of Groningen, University Medical Center Groningen, PO Box 30001, Groningen 9700 RB, The Netherlands
| | - Siegfried Perz
- Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg 85764, Germany
| | - Annette Peters
- DZHK (German Centre for Cardiovascular Research), Partner site Munich Heart Alliance, Munich 80336, Germany.,Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg 85764, Germany.,German Center for Diabetes Research, Neuherberg 85764, Germany
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington 98104, USA.,Departments of Epidemiology and Health Services, University of Washington, Seattle, Washington 98195, USA.,Group Health Research Institute, Group Health Cooperative, Seattle, Washington 98101, USA
| | - Olli T Raitakari
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku 20521, Finland.,Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku 20520, Finland
| | - Victoria B Risbrough
- Department of Psychiatry, University of California, San Diego, San Diego, California 92093, USA.,Center for Stress and Mental Health (CESAMH), VA San Diego Healthcare System, San Diego, California 92161, USA
| | - Moritz F Sinner
- Department of Medicine, University Hospital Munich, Ludwig-Maximilians-University, Munich 80539, Germany.,DZHK (German Centre for Cardiovascular Research), Partner site Munich Heart Alliance, Munich 80336, Germany
| | - David Siscovick
- The New York Academy of Medicine, New York, New York 10029, USA
| | - Johannes H Smit
- Department of Psychiatry, EMGO Institute for Health and Care Research and Neuroscience Campus Amsterdam, VU University Medical Center/GGZ inGeest, Amsterdam 1081 BT, The Netherlands
| | - Nicholas L Smith
- Group Health Research Institute, Group Health Cooperative, Seattle, Washington 98101, USA.,Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington 98195, USA.,Seattle Epidemiologic Research and Information Center, Veterans Affairs Office of Research and Development, Seattle, Washington 98108, USA
| | - Elsayed Z Soliman
- Epidemiological Cardiology Research Center (EPICARE), Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina 27157, USA
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, Division of Cardiology, Departments of Medicine and Epidemiology, University of Washington, Seattle, Washington 98101, USA
| | - Jan A Staessen
- Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven 3000, Belgium
| | - Phyllis K Stein
- Heart Rate Variability Lab, Washington University School of Medicine, St Louis, Missouri 63108, USA
| | - Adrienne M Stilp
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, Washington 98195, USA
| | - Katarzyna Stolarz-Skrzypek
- First Department of Cardiology, Interventional Electrocardiology and Hypertension, Jagiellonian University Medical College, Cracow 31-008, Poland
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg 85764, Germany.,Institute of Medical Informatics, Biometry and Epidemiology, Chair of Genetic Epidemiology, Ludwig-Maximilians-Universität, Munich 81377, Germany
| | - Johan Sundström
- Department of Medical Sciences, Cardiovascular Epidemiology, Uppsala University, Uppsala 751 85, Sweden
| | - Cees A Swenne
- Department of Cardiology, Leiden University Medical Center, Leiden 2300 RC, The Netherlands
| | - Ann-Christine Syvänen
- Department of Medical Sciences, Molecular Medicine, Uppsala University, Uppsala 75237, Sweden
| | - Jean-Claude Tardif
- Montreal Heart Institute, Montreal, Quebec, Canada H1T 1C8.,Université de Montréal, Montreal, Quebec, Canada H3T IJ4
| | - Kent D Taylor
- Institute for Translational Genomics and Population Sciences, Departments of Pediatrics and Medicine, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, California 90509, USA
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald 17475, Germany
| | - Timothy A Thornton
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, Washington 98195, USA
| | - Lesley E Tinker
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | - André G Uitterlinden
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, PO Box 2060, Rotterdam 3000 CB, The Netherlands.,Department of Internal Medicine, Erasmus University Medical Center, Rotterdam 3015 CE, The Netherlands.,Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging NCHA), Leiden 2300 RC, The Netherlands
| | - Jessica van Setten
- Department of Cardiology, Division Heart and Lungs, University Medical Center Utrecht, Heidelberglaan 100, Utrecht 3584CX, The Netherlands
| | - Andreas Voss
- Institute of Innovative Health Technologies-IGHT Jena Ernst-Abbe-Hochschule Jena, Jena 07745, Germany
| | - Melanie Waldenberger
- Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg 85764, Germany.,Research Unit of Molecular Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg 85764, Germany
| | - Kirk C Wilhelmsen
- Departments of Genetics and Neurology University of North Carolina, Chapel Hill, North Carolina 27599, USA.,The Renaissance Computing Institute, Chapel Hill, North Carolina 27599, USA
| | - Gonneke Willemsen
- Department of Biological Psychology, Behavioral and Movement Sciences, VU University, Amsterdam 1081 BT, The Netherlands.,EMGO+ Institute for Health and Care Research, VU University &VU University Medical Center, Amsterdam 1081 HV, The Netherlands
| | - Quenna Wong
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, Washington 98195, USA
| | - Zhu-Ming Zhang
- Epidemiological Cardiology Research Center (EPICARE), Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina 27157, USA.,Department of Epidemiology &Prevention, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina 27157, USA
| | - Alan B Zonderman
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, Maryland 21224, USA
| | - Daniele Cusi
- Institute of Biomedical Technologies, CNR-Italian National Research Council, Milan 20090, Italy.,KOS Genetic SRL, Bresso (Milano) 20091, Italy
| | - Michele K Evans
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, Maryland 21224, USA
| | - Halina K Greiser
- German Cancer Research Centre, Division of Cancer Epidemiology, Heidelberg 69210, Germany
| | - Pim van der Harst
- Department of Cardiology, University of Groningen, University Medical Center Groningen, PO Box 30001, Groningen 9700 RB, The Netherlands
| | - Mohammad Hassan
- Department of Physiology, College of Medicine and Health Sciences, Sultan Qaboos University, Muscat Al-Khoudh 123, Sultanate of Oman
| | - Erik Ingelsson
- Department of Medical Sciences, Molecular Epidemiology, Uppsala University, Uppsala 75237, Sweden.,Science for Life Laboratory, Uppsala University, Uppsala 75237, Sweden.,Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California 94305, USA
| | - Marjo-Riitta Järvelin
- Center for Life Course Health Research, University of Oulu, Oulu 90014, Finland.,Unit of Primary Health Care, Oulu University Hospital, Oulu 90220, Finland.,Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, St Mary's campus, Imperial College London, London W2 1PG, UK.,Biocenter Oulu University of Oulu, Oulu 90014, Finland
| | - Stefan Kääb
- Department of Medicine, University Hospital Munich, Ludwig-Maximilians-University, Munich 80539, Germany.,DZHK (German Centre for Cardiovascular Research), Partner site Munich Heart Alliance, Munich 80336, Germany
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, Tampere 33521, Finland.,Department of Clinical Physiology, University of Tampere, School of Medicine, Tampere 33014, Finland
| | - Mika Kivimaki
- Department of Epidemiology and Public Health, University College London, London WC1E 6BT, UK
| | - Charles Kooperberg
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | - Diana Kuh
- MRC Unit for Lifelong Health and Ageing, University College London, 33 Bedford Place, London WC1B 5JU, UK
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere 33520, Finland.,Department of Clinical Chemistry, University of Tampere School of Medicine, Tampere 33014, Finland
| | - Lars Lind
- Department of Medical Sciences, Cardiovascular Epidemiology, Uppsala University, Uppsala 751 85, Sweden
| | - Caroline M Nievergelt
- Department of Psychiatry, University of California, San Diego, San Diego, California 92093, USA.,Center for Stress and Mental Health (CESAMH), VA San Diego Healthcare System, San Diego, California 92161, USA
| | - Chris J O'Donnell
- Framingham Heart Study, Framingham, Massachusetts 01702, USA.,Population Sciences Branch, National Heart, Lung and Blood Institute, Bethesda, Maryland 20892, USA.,Cardiology Section, Boston Veteran's Administration Healthcare, Boston, Maryland 02132, USA
| | - Albertine J Oldehinkel
- Interdisciplinary Center Psychopathology and Emotion regulation, Department of Psychiatry, University of Groningen, University Medical Center Groningen, PO Box 30001, Groningen 9700 RB, The Netherlands
| | - Brenda Penninx
- Department of Psychiatry, EMGO Institute for Health and Care Research and Neuroscience Campus Amsterdam, VU University Medical Center/GGZ inGeest, Amsterdam 1081 BT, The Netherlands
| | - Alexander P Reiner
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA.,Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington 98195, USA
| | - Harriëtte Riese
- Interdisciplinary Center Psychopathology and Emotion regulation, Department of Psychiatry, University of Groningen, University Medical Center Groningen, PO Box 30001, Groningen 9700 RB, The Netherlands
| | - Arie M van Roon
- Department of Internal Medicine, Division of Vascular Medicine, University of Groningen, University Medical Center Groningen, PO Box 30001, Groningen 9700 RB, The Netherlands
| | - John D Rioux
- Montreal Heart Institute, Montreal, Quebec, Canada H1T 1C8.,Université de Montréal, Montreal, Quebec, Canada H3T IJ4
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Departments of Pediatrics and Medicine, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, California 90509, USA
| | - Tamar Sofer
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, Washington 98195, USA
| | - Bruno H Stricker
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, PO Box 2060, Rotterdam 3000 CB, The Netherlands.,Inspectorate for Health Care, The Hague 2511 VX, The Netherlands
| | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry/Psychology, Department of Child and Adolescent Psychiatry, PO Box 2060, Rotterdam 3000 CB, The Netherlands.,Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, PO Box 2060, Rotterdam 3000 CB, The Netherlands
| | - Tanja G M Vrijkotte
- Department of Public Health, Academic Medical Center (AMC), University of Amsterdam, Amsterdam 1105 AZ, The Netherlands
| | - Folkert W Asselbergs
- Department of Cardiology, Division Heart and Lungs, University Medical Center Utrecht, Heidelberglaan 100, Utrecht 3584CX, The Netherlands.,Institute of Cardiovascular Science, University College London, 222 Euston Road, London NW1 2DA, UK.,Durrer Center for Cardiogenetic Research, ICIN-Netherlands Heart Institute, Utrecht 3501 DG, The Netherlands
| | - Bianca J J M Brundel
- Department of Physiology, Institute for Cardiovascular Research, VU University Medical Center, De Boelelaan 1118, Amsterdam 1081 HV, The Netherlands
| | - Susan R Heckbert
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington 98104, USA.,Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington 98195, USA
| | - Eric A Whitsel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina 27599, USA.,Department of Medicine, University of North Carolina, Chapel Hill, North Carolina 27599, USA
| | - Marcel den Hoed
- Department of Medical Sciences, Molecular Epidemiology, Uppsala University, Uppsala 75237, Sweden.,Science for Life Laboratory, Uppsala University, Uppsala 75237, Sweden
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, PO Box 30001, Groningen 9700 RB, The Netherlands
| | - Eco J C de Geus
- Department of Biological Psychology, Behavioral and Movement Sciences, VU University, Amsterdam 1081 BT, The Netherlands.,EMGO+ Institute for Health and Care Research, VU University &VU University Medical Center, Amsterdam 1081 HV, The Netherlands
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Ozpelit ME, Ozpelit E. How we eat may be as important as what we eat: eating behaviour and heart rate variability. Acta Cardiol 2017. [PMID: 28636519 DOI: 10.1080/00015385.2017.1304749] [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: 10/19/2022]
Abstract
Objective Diet exerts a crucial role on cardiovascular health. Evidence is mainly based on the content and the amount of dietary intakes. Some recent reports demonstrated that eating behaviour may also be of significant importance in cardiovascular health. In this study we aimed to investigate the effects of eating behaviour on heart rate variability (HRV) in healthy subjects. Methods and results In total, 521 healthy subjects with 24-hour Holter ECG recordings filled out a special questionnaire about their eating behaviour and lifestyles. From these patients, 425 subjects were healthy and had recordings suitable for analysis. Five types of eating behaviour were assessed in the questionnaire: (1) adherence to the Mediterranean diet (using the MedDietScore), (2) skipping breakfast, (3) late night eating, (4) having snacks, and (5) rapid eating. Physical exercise level and active working status of the subjects were also assessed. The root mean square of successive differences (RMSSD) was used for assessment of HRV. RMSSD values were lower in subjects skipping breakfast compared to subjects having breakfast regularly (26.32 vs 31.52 P = 0.02). Other behavioural patterns did not have any effect on the HRV parameters. Ageing, male sex, sedentary lifestyle and no active working were also found to be associated with reduced HRV in univariate analysis. In multivariate regression analysis, age and skipping breakfast were the only parameters significantly associated with a lower RMSSD (β: -0.222, P: 0.008 and β: -0.191, P: 0.020, respectively) Conclusions The findings of this study showed that skipping breakfast may be a cause of cardiac autonomic dysfunction.
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Affiliation(s)
| | - Ebru Ozpelit
- Department of Cardiology, Dokuz Eylul University Izmir, Turkey
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58
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Quintana DS, Dieset I, Elvsåshagen T, Westlye LT, Andreassen OA. Oxytocin system dysfunction as a common mechanism underlying metabolic syndrome and psychiatric symptoms in schizophrenia and bipolar disorders. Front Neuroendocrinol 2017; 45:1-10. [PMID: 28049009 DOI: 10.1016/j.yfrne.2016.12.004] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2016] [Revised: 12/14/2016] [Accepted: 12/29/2016] [Indexed: 12/24/2022]
Abstract
There is growing interest in using intranasal oxytocin (OT) to treat social dysfunction in schizophrenia and bipolar disorders (i.e., psychotic disorders). While OT treatment results have been mixed, emerging evidence suggests that OT system dysfunction may also play a role in the etiology of metabolic syndrome (MetS), which appears in one-third of individuals with psychotic disorders and associated with increased mortality. Here we examine the evidence for a potential role of the OT system in the shared risk for MetS and psychotic disorders, and its prospects for ameliorating MetS. Using several studies to demonstrate the overlapping neurobiological profiles of metabolic risk factors and psychiatric symptoms, we show that OT system dysfunction may be one common mechanism underlying MetS and psychotic disorders. Given the critical need to better understand metabolic dysregulation in these disorders, future OT trials assessing behavioural and cognitive outcomes should additionally include metabolic risk factor parameters.
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Affiliation(s)
- Daniel S Quintana
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, University of Oslo, and Oslo University Hospital, Oslo, Norway.
| | - Ingrid Dieset
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, University of Oslo, and Oslo University Hospital, Oslo, Norway
| | - Torbjørn Elvsåshagen
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, University of Oslo, and Oslo University Hospital, Oslo, Norway; Department of Neurology, Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Lars T Westlye
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, University of Oslo, and Oslo University Hospital, Oslo, Norway; Department of Psychology, University of Oslo, Oslo, Norway
| | - Ole A Andreassen
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, University of Oslo, and Oslo University Hospital, Oslo, Norway
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59
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Paine NJ, Bacon SL, Pelletier R, Arsenault A, Diodati JG, Lavoie KL. Do Women With Anxiety or Depression Have Higher Rates of Myocardial Ischemia During Exercise Testing Than Men? CIRCULATION-CARDIOVASCULAR QUALITY AND OUTCOMES 2016; 9:S53-61. [PMID: 26908861 DOI: 10.1161/circoutcomes.115.002491] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Women diagnosed with coronary artery disease (CAD) typically experience worse outcomes relative to men, possibly through diagnosis and treatment delays. Reasons for these delays may be influenced by mood and anxiety disorders, which are more prevalent in women and have symptoms (eg, palpitations and fatigue) that may be confounded with CAD. Our study examined sex differences in the association between mood and anxiety disorders and myocardial ischemia in patients with and without a CAD history presenting for exercise stress tests. METHODS AND RESULTS A total of 2342 patients (women n=760) completed a single photon emission computed tomographic exercise stress test (standard Bruce Protocol) and underwent a psychiatric interview (The Primary Care Evaluation of Mental Disorders) to assess mood and anxiety disorders. Ischemia was assessed using single photon emission computed tomography, with odds ratio used to calculate the effect of sex and mood/anxiety on the presence of ischemia during stress testing by CAD history in a stratified analyses, adjusted for relevant covariates. There was a sex by anxiety interaction with ischemia in those without a CAD history (P=0.015): women with anxiety were more likely to exhibit ischemia during exercise than women without anxiety (odds ratio, 1.75; 95% confidence interval, 1.05-2.89). No significant effects were observed for men nor mood. CONCLUSIONS Women with anxiety and no CAD history had higher rates of ischemia than women without anxiety. Results suggest that anxiety symptoms, many of which overlap with those of CAD, might mask CAD symptoms among women (but not men) and contribute to referral and diagnostic delays. Further research is needed to confirm this hypothesis.
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Affiliation(s)
- Nicola J Paine
- From the Department of Exercise Science, Concordia University, Montréal, Quebec, Canada (N.J.P., S.L.B.); Montréal Behavioural Medicine Centre, Hôpital du Sacré-Coeur à Montréal, Montréal, Quebec, Canada (N.J.P., S.L.B., A.A., K.L.L.); Department of Psychology, University of Quebec at Montreal, Montréal, Quebec, Canada (K.L.L.); Division of Clinical Epidemiology, McGill University Health Centre, Montréal, Quebec, Canada (R.P.); Research Centre, Montreal Heart Institute, Montréal, Quebec, Canada (A.A.); and Research Centre, Hôpital du Sacré-Coeur à Montréal, Montréal, Quebec, Canada (J.G.D.)
| | - Simon L Bacon
- From the Department of Exercise Science, Concordia University, Montréal, Quebec, Canada (N.J.P., S.L.B.); Montréal Behavioural Medicine Centre, Hôpital du Sacré-Coeur à Montréal, Montréal, Quebec, Canada (N.J.P., S.L.B., A.A., K.L.L.); Department of Psychology, University of Quebec at Montreal, Montréal, Quebec, Canada (K.L.L.); Division of Clinical Epidemiology, McGill University Health Centre, Montréal, Quebec, Canada (R.P.); Research Centre, Montreal Heart Institute, Montréal, Quebec, Canada (A.A.); and Research Centre, Hôpital du Sacré-Coeur à Montréal, Montréal, Quebec, Canada (J.G.D.)
| | - Roxanne Pelletier
- From the Department of Exercise Science, Concordia University, Montréal, Quebec, Canada (N.J.P., S.L.B.); Montréal Behavioural Medicine Centre, Hôpital du Sacré-Coeur à Montréal, Montréal, Quebec, Canada (N.J.P., S.L.B., A.A., K.L.L.); Department of Psychology, University of Quebec at Montreal, Montréal, Quebec, Canada (K.L.L.); Division of Clinical Epidemiology, McGill University Health Centre, Montréal, Quebec, Canada (R.P.); Research Centre, Montreal Heart Institute, Montréal, Quebec, Canada (A.A.); and Research Centre, Hôpital du Sacré-Coeur à Montréal, Montréal, Quebec, Canada (J.G.D.)
| | - André Arsenault
- From the Department of Exercise Science, Concordia University, Montréal, Quebec, Canada (N.J.P., S.L.B.); Montréal Behavioural Medicine Centre, Hôpital du Sacré-Coeur à Montréal, Montréal, Quebec, Canada (N.J.P., S.L.B., A.A., K.L.L.); Department of Psychology, University of Quebec at Montreal, Montréal, Quebec, Canada (K.L.L.); Division of Clinical Epidemiology, McGill University Health Centre, Montréal, Quebec, Canada (R.P.); Research Centre, Montreal Heart Institute, Montréal, Quebec, Canada (A.A.); and Research Centre, Hôpital du Sacré-Coeur à Montréal, Montréal, Quebec, Canada (J.G.D.)
| | - Jean G Diodati
- From the Department of Exercise Science, Concordia University, Montréal, Quebec, Canada (N.J.P., S.L.B.); Montréal Behavioural Medicine Centre, Hôpital du Sacré-Coeur à Montréal, Montréal, Quebec, Canada (N.J.P., S.L.B., A.A., K.L.L.); Department of Psychology, University of Quebec at Montreal, Montréal, Quebec, Canada (K.L.L.); Division of Clinical Epidemiology, McGill University Health Centre, Montréal, Quebec, Canada (R.P.); Research Centre, Montreal Heart Institute, Montréal, Quebec, Canada (A.A.); and Research Centre, Hôpital du Sacré-Coeur à Montréal, Montréal, Quebec, Canada (J.G.D.)
| | - Kim L Lavoie
- From the Department of Exercise Science, Concordia University, Montréal, Quebec, Canada (N.J.P., S.L.B.); Montréal Behavioural Medicine Centre, Hôpital du Sacré-Coeur à Montréal, Montréal, Quebec, Canada (N.J.P., S.L.B., A.A., K.L.L.); Department of Psychology, University of Quebec at Montreal, Montréal, Quebec, Canada (K.L.L.); Division of Clinical Epidemiology, McGill University Health Centre, Montréal, Quebec, Canada (R.P.); Research Centre, Montreal Heart Institute, Montréal, Quebec, Canada (A.A.); and Research Centre, Hôpital du Sacré-Coeur à Montréal, Montréal, Quebec, Canada (J.G.D.).
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60
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Prolonged job strain reduces time-domain heart rate variability on both working and resting days among cardiovascular-susceptible nurses. Int J Occup Med Environ Health 2016; 28:42-51. [PMID: 26159946 DOI: 10.2478/s13382-014-0289-1] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
INTRODUCTION Modifications of hearth rate variability (HRV) constitute a marker of the autonomic nervous system (ANS) deregulation, a promising pathway linking job strain (JS) and cardiovascular diseases (CVD). The study objective is to assess whether exposures to recent and prolonged JS reduce time-domain HRV parameters on working days (WD) among CVD-susceptible nurses and whether the association also persists on resting days (RD). MATERIAL AND METHODS 313 healthy nurses were investigated twice with one year interval to assess JS based on the demand-control and the effort-reward models. 36, 9 and 16 CVD-susceptible nurses were classified as low JS in both surveys (stable low strain - SLS), recent high JS (high JS at the second screening only-RHS) and prolonged high JS (high strain in both surveys-PHS), respectively. In 9, 7 and 10 of them, free from comorbidities/treatments interfering with HRV, two 24-h ECG recordings were performed on WD and RD. Differences in the time domain HRV metrics among JS categories were assessed using ANCOVA, adjusted for age and smoking. RESULTS In the entire sample (mean age: 39 years, 83% females) the prevalence of high job strain was 38.7% in the second survey. SDNN (standard deviation of all normal RR intervals) on WD significantly declined among JS categories (p = 0.02), with geometric mean values of 169.1, 145.3 and 128.9 ms in SLS, RHS, PHS, respectively. In the PHS group, SDNN remained lower on RD as compared to the low strain subjects (142.4 vs. 171.1 ms, p = 0.02). Similar findings were found for the SDNN_Index, while SDANN (standard deviation of average RR intervals in all 5 min segments of registration) mean values reduced in the PHS group during WD only. CONCLUSIONS Our findings suggest that persistent JS lowers HRV time-domain parameters, supporting the hypothesis that the ANS disorders may play an intermediate role in the relationship between work stress and CVD.
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Stenfors CUD, Hanson LM, Theorell T, Osika WS. Executive Cognitive Functioning and Cardiovascular Autonomic Regulation in a Population-Based Sample of Working Adults. Front Psychol 2016; 7:1536. [PMID: 27761124 PMCID: PMC5050226 DOI: 10.3389/fpsyg.2016.01536] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2016] [Accepted: 09/21/2016] [Indexed: 01/06/2023] Open
Abstract
Objective: Executive cognitive functioning is essential in private and working life and is sensitive to stress and aging. Cardiovascular (CV) health factors are related to cognitive decline and dementia, but there is relatively few studies of the role of CV autonomic regulation, a key component in stress responses and risk factor for cardiovascular disease (CVD), and executive processes. An emerging pattern of results from previous studies suggest that different executive processes may be differentially associated with CV autonomic regulation. The aim was thus to study the associations between multiple measures of CV autonomic regulation and measures of different executive cognitive processes. Method: Participants were 119 healthy working adults (79% women), from the Swedish Longitudinal Occupational Survey of Health. Electrocardiogram was sampled for analysis of heart rate variability (HRV) measures, including the Standard Deviation of NN, here heart beats (SDNN), root of the mean squares of successive differences (RMSSD), high frequency (HF) power band from spectral analyses, and QT variability index (QTVI), a measure of myocardial repolarization patterns. Executive cognitive functioning was measured by seven neuropsychological tests. The relationships between CV autonomic regulation measures and executive cognitive measures were tested with bivariate and partial correlational analyses, controlling for demographic variables, and mental health symptoms. Results: Higher SDNN and RMSSD and lower QTVI were significantly associated with better performance on cognitive tests tapping inhibition, updating, shifting, and psychomotor speed. After adjustments for demographic factors however (age being the greatest confounder), only QTVI was clearly associated with these executive tests. No such associations were seen for working memory capacity. Conclusion: Poorer CV autonomic regulation in terms of lower SDNN and RMSSD and higher QTVI was associated with poorer executive cognitive functioning in terms of inhibition, shifting, updating, and speed in healthy working adults. Age could largely explain the associations between the executive measures and SDNN and RMSSD, while associations with QTVI remained. QTVI may be a useful measure of autonomic regulation and promising as an early indicator of risk among otherwise healthy adults, compared to traditional HRV measures, as associations between QTVI and executive functioning was not affected by age.
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Affiliation(s)
- Cecilia U D Stenfors
- Aging Research Center, Department of Neurobiology, Care Science and Society, Karolinska InstituteStockholm, Sweden; Environmental Neuroscience Lab, Department of Psychology, University of ChicagoChicago, IL, USA
| | - Linda M Hanson
- Stress Research Institute, Stockholm University Stockholm, Sweden
| | - Töres Theorell
- Stress Research Institute, Stockholm University Stockholm, Sweden
| | - Walter S Osika
- Department of Neurobiology, Care Science and Society, Center for Social Sustainability, Karolinska InstituteStockholm, Sweden; Department of Clinical Neuroscience, Karolinska InstituteStockholm, Sweden
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Feda DM, Roemmich JN. Effect of Interpersonal and Cognitive Stressors on Habituation and the Utility of Heart Rate Variability to Measure Habituation. Stress Health 2016; 32:320-327. [PMID: 25393296 DOI: 10.1002/smi.2618] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2014] [Revised: 09/05/2014] [Accepted: 10/09/2014] [Indexed: 11/07/2022]
Abstract
Habituation is a decrease in responding to a repeated stimulus. Operant responding and salivation measure habituation in eating behaviour research. Stress may increase eating by acting as a distractor, yielding spontaneous recovery and prolonging responding for food. Our research tested differences in the ability of cognitive and interpersonal stressors to recover responding for food. We also tested heart rate variability (HRV) as a measure of habituation. Twenty women worked for portions of macaroni and cheese for 15 trials on three separate laboratory visits. Between the 12th and 13th trial, one of three different stressor types (speech, stroop and subtraction) was presented during each visit. HRV was measured continuously throughout the laboratory visits. Responding for food declined across the 12 trials with no difference in rate of habituation by visit (p > 0.8) There was no difference between stressor type in the magnitude of spontaneous recovery after each stressor (p > 0.8). Rates of habituation of HRV variables correlated (p < 0.02) with the rate of operant responding habituation. Cognitive and interpersonal stressors do not differ in their ability to recover reduced responding for food. HRV variables may measure habituation to food similar to operant responding. Copyright © 2014 John Wiley & Sons, Ltd.
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Affiliation(s)
- Denise M Feda
- Department of Pediatrics, School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA.
| | - James N Roemmich
- USDA-ARS-NPA Grand Forks Human Nutrition Research Center, Grand Forks, ND, USA
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Campbell TG, Westbury T, Davison R, Florida-James G. An exploratory study of the relationship between psychosocial hazard and ambulatory physiological response in higher education employees. INTERNATIONAL JOURNAL OF WORKPLACE HEALTH MANAGEMENT 2016. [DOI: 10.1108/ijwhm-11-2015-0068] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Purpose
As exposure to psychosocial hazard at work represents a substantial risk factor for employee health in many modern occupations, being able to accurately assess how employees cope with their working environment is crucial. The workplace is generally accepted as being a dynamic environment, therefore, consideration should be given to the interaction between employees and the acute environmental characteristics of their workplace. The purpose of this paper is to investigate the effects of both acute demand and chronic work-related psychosocial hazard upon employees through ambulatory assessment of heart rate variability and blood pressure.
Design/methodology/approach
A within-subjects repeated measures design was used to investigate the relationship between exposure to work-related psychosocial hazard and ambulatory heart rate variability and blood pressure in a cohort of higher education employees. Additionally the effect of acute variation in perceived work-related demand was investigated.
Findings
Two dimensions of the Management Standards were found to demonstrate an association with heart rate variability; more hazardous levels of “demand” and “relationships” were associated with decreased standard deviation of the normal-to-normal interval. Significant changes in blood pressure and indices of heart rate variability were observed with increased acute demand.
Originality/value
This is the first attempt to combine the Health and Safety Management Standards Indicator Tool with physiological assessment of employees. The results provide evidence of associations between scores on the indicator tool and ambulatory heart rate variability as well as demonstrating that variation in acute perceived work-related demand is associated with alterations to autonomic and cardiovascular function. This has implications not only for employee health and workplace design but also for future studies employing ambulatory physiological monitoring.
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Sloan RP, Schwarz E, McKinley PS, Weinstein M, Love G, Ryff C, Mroczek D, Choo TH, Lee S, Seeman T. Vagally-mediated heart rate variability and indices of well-being: Results of a nationally representative study. Health Psychol 2016; 36:73-81. [PMID: 27570892 DOI: 10.1037/hea0000397] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
OBJECTIVE High frequency (HF) heart rate variability (HRV) has long been accepted as an index of cardiac vagal control. Recent studies report relationships between HF-HRV and indices of positive and negative affect, personality traits and well-being but these studies generally are based on small and selective samples. METHOD These relationships were examined using data from 967 participants in the second Midlife in the U.S. (MIDUS II) study. Participants completed survey questionnaires on well-being and affect. HF-HRV was measured at rest. A hierarchical series of regression analyses examined relationships between these various indices and HF-HRV before and after adjustment for relevant demographic and biomedical factors. RESULTS Significant inverse relationships were found only between indices of negative affect and HF-HRV. Relationships between indices of psychological and hedonic well-being and positive affect failed to reach significance. CONCLUSIONS These findings raise questions about relationships between cardiac parasympathetic modulation, emotion regulation, and indices of well-being. (PsycINFO Database Record
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Affiliation(s)
| | | | | | | | - Gayle Love
- Institute on Aging, University of Wisconsin-Madison
| | - Carol Ryff
- Department of Psychology, University of Wisconsin-Madison
| | | | | | | | - Teresa Seeman
- Division of Geriatrics, University of California at Los Angeles
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Abstract
Whether cumulative stress, including both chronic stress and adverse life events, is associated with decreased heart rate variability (HRV), a non-invasive measure of autonomic status which predicts poor cardiovascular outcomes, is unknown. Healthy community dwelling volunteers (N = 157, mean age 29 years) participated in the Cumulative Stress/Adversity Interview (CAI), a 140-item event interview measuring cumulative adversity including major life events, life trauma, recent life events and chronic stressors, and underwent 24-h ambulatory ECG monitoring. HRV was analyzed in the frequency domain and standard deviation of NN intervals (SDNN) calculated. Initial simple regression analyses revealed that total cumulative stress score, chronic stressors and cumulative adverse life events (CALE) were all inversely associated with ultra low-frequency (ULF), very low-frequency (VLF) and low-frequency (LF) power and SDNN (all p < 0.05). In hierarchical regression analyses, total cumulative stress and chronic stress each was significantly associated with SDNN and ULF even after the highly significant contributions of age and sex, with no other covariates accounting for additional appreciable variance. For VLF and LF, both total cumulative stress and chronic stress significantly contributed to the variance alone but were not longer significant after adjusting for race and health behaviors. In summary, total cumulative stress, and its components of adverse life events and chronic stress were associated with decreased cardiac autonomic function as measured by HRV. Findings suggest one potential mechanism by which stress may exert adverse effects on mortality in healthy individuals. Primary preventive strategies including stress management may prove beneficial.
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Affiliation(s)
- Rachel Lampert
- Department of Medicine, Yale University School of Medicine, New Haven, CT
| | - Keri Tuit
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT
| | - Kwang-ik Hong
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT
| | - Theresa Donovan
- Department of Medicine, Yale University School of Medicine, New Haven, CT
| | - Forrester Lee
- Department of Medicine, Yale University School of Medicine, New Haven, CT
| | - Rajita Sinha
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT
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Effects of Tai Chi exercise on heart rate variability. Complement Ther Clin Pract 2016; 23:59-63. [DOI: 10.1016/j.ctcp.2016.03.007] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2016] [Accepted: 03/23/2016] [Indexed: 02/05/2023]
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Mahinrad S, Jukema JW, van Heemst D, Macfarlane PW, Clark EN, de Craen AJ, Sabayan B. 10-Second heart rate variability and cognitive function in old age. Neurology 2016; 86:1120-7. [DOI: 10.1212/wnl.0000000000002499] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2015] [Accepted: 12/08/2015] [Indexed: 11/15/2022] Open
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Vrachimis A, Hadjicharalambous M, Tyler C. The Effect of Circuit Training on Resting Heart Rate Variability, Cardiovascular Disease Risk Factors and Physical Fitness in Healthy Untrained Adults. Health (London) 2016. [DOI: 10.4236/health.2016.82017] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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Li HR, Lu TM, Cheng HM, Lu DY, Chiou CW, Chuang SY, Yang AC, Sung SH, Yu WC, Chen CH. Additive Value of Heart Rate Variability in Predicting Obstructive Coronary Artery Disease Beyond Framingham Risk. Circ J 2015; 80:494-501. [PMID: 26701182 DOI: 10.1253/circj.cj-15-0588] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
BACKGROUND Heart rate variability (HRV) is usually reduced in patients with CAD. We therefore investigated whether reduced HRV is predictive of angiographic CAD beyond Framingham risk in patients with stable angina. METHODS AND RESULTS A total of 514 patients (age, 66.1 ± 14.3 years, 358 men) were enrolled. Holter ECG was performed before catheterization, and 24-h HRV was analyzed in both the frequency domain (VLF, LF, HF and total power) and the time domain (SDNN, SDANN, RMSSD and pNN20). Angiographic CAD was defined as ≥ 50% diameter reduction of 1 or more coronary arteries. On coronary angiography 203 patients (39.6%) had angiographic CAD. Patients with CAD had significantly higher Framingham risk and lower HRV according to both frequency and time domain parameters. After controlling for age, gender, heart rate, SBP, renal function, lipids and Framingham risk, reduced HRV indices remained predictors of CAD (OR, 95% CI for LF, HF, SDNN, RMSSD and pNN20: 0.81, 0.66-0.99; 0.77, 0.63-0.94; 0.75, 0.59-0.96; 0.72, 0.58-0.88; and 0.76, 0.62-0.94, respectively). On subgroup analysis, HRV parameters appeared to be predictive of CAD only in subjects with high Framingham risk or diabetes. CONCLUSIONS Reduced HRV is predictive of CAD in patients with stable angina, independent of traditional risk factors and Framingham risk. The predictive value of HRV may be relevant only in subjects with high Framingham risk or diabetes.
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Affiliation(s)
- Hsin-Ru Li
- Department of Medicine, Shuang Ho Hospital, Taipei Medical University
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Munoz ML, van Roon A, Riese H, Thio C, Oostenbroek E, Westrik I, de Geus EJC, Gansevoort R, Lefrandt J, Nolte IM, Snieder H. Validity of (Ultra-)Short Recordings for Heart Rate Variability Measurements. PLoS One 2015; 10:e0138921. [PMID: 26414314 PMCID: PMC4586373 DOI: 10.1371/journal.pone.0138921] [Citation(s) in RCA: 181] [Impact Index Per Article: 20.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2015] [Accepted: 09/05/2015] [Indexed: 12/12/2022] Open
Abstract
Objectives In order to investigate the applicability of routine 10s electrocardiogram (ECG) recordings for time-domain heart rate variability (HRV) calculation we explored to what extent these (ultra-)short recordings capture the “actual” HRV. Methods The standard deviation of normal-to-normal intervals (SDNN) and the root mean square of successive differences (RMSSD) were measured in 3,387 adults. SDNN and RMSSD were assessed from (ultra)short recordings of 10s(3x), 30s, and 120s and compared to 240s–300s (gold standard) measurements. Pearson’s correlation coefficients (r), Bland-Altman 95% limits of agreement and Cohen’s d statistics were used as agreement analysis techniques. Results Agreement between the separate 10s recordings and the 240s-300s recording was already substantial (r = 0.758–0.764/Bias = 0.398–0.416/d = 0.855–0.894 for SDNN; r = 0.853–0.862/Bias = 0.079–0.096/d = 0.150–0.171 for RMSSD), and improved further when three 10s periods were averaged (r = 0.863/Bias = 0.406/d = 0.874 for SDNN; r = 0.941/Bias = 0.088/d = 0.167 for RMSSD). Agreement increased with recording length and reached near perfect agreement at 120s (r = 0.956/Bias = 0.064/d = 0.137 for SDNN; r = 0.986/Bias = 0.014/d = 0.027 for RMSSD). For all recording lengths and agreement measures, RMSSD outperformed SDNN. Conclusions Our results confirm that it is unnecessary to use recordings longer than 120s to obtain accurate measures of RMSSD and SDNN in the time domain. Even a single 10s (standard ECG) recording yields a valid RMSSD measurement, although an average over multiple 10s ECGs is preferable. For SDNN we would recommend either 30s or multiple 10s ECGs. Future research projects using time-domain HRV parameters, e.g. genetic epidemiological studies, could calculate HRV from (ultra-)short ECGs enabling such projects to be performed at a large scale.
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Affiliation(s)
- M. Loretto Munoz
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Arie van Roon
- Department of Vascular Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Harriëtte Riese
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- Interdisciplinary Center Psychopathology and Emotion regulation (ICPE), Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Chris Thio
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Emma Oostenbroek
- Department of Vascular Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Iris Westrik
- Department of Vascular Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Eco J. C. de Geus
- Department of Biological Psychology, VU University Amsterdam & Institute for Health and Care Research (EMGO+), VU Medical Center, Amsterdam, The Netherlands
| | - Ron Gansevoort
- Department of Internal Medicine, Division of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Joop Lefrandt
- Department of Vascular Medicine, 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
- * E-mail: (HS); (IMN)
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- * E-mail: (HS); (IMN)
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Dermody SS, Wright AGC, Cheong J, Miller KG, Muldoon MF, Flory JD, Gianaros PJ, Marsland AL, Manuck SB. Personality Correlates of Midlife Cardiometabolic Risk: The Explanatory Role of Higher-Order Factors of the Five-Factor Model. J Pers 2015; 84:765-776. [PMID: 26249259 DOI: 10.1111/jopy.12216] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Varying associations are reported between Five-Factor Model (FFM) personality traits and cardiovascular disease risk. Here, we further examine dispositional correlates of cardiometabolic risk within a hierarchical model of personality that proposes higher-order traits of Stability (shared variance of Agreeableness, Conscientiousness, inverse Neuroticism) and Plasticity (Extraversion, Openness), and we test hypothesized mediation via biological and behavioral factors. In an observational study of 856 community volunteers aged 30-54 years (46% male, 86% Caucasian), latent variable FFM traits (using multiple-informant reports) and aggregated cardiometabolic risk (indicators: insulin resistance, dyslipidemia, blood pressure, adiposity) were estimated using confirmatory factor analysis (CFA). The cardiometabolic factor was regressed on each personality factor or higher-order trait. Cross-sectional indirect effects via systemic inflammation, cardiac autonomic control, and physical activity were tested. CFA models confirmed the Stability "meta-trait," but not Plasticity. Lower Stability was associated with heightened cardiometabolic risk. This association was accounted for by inflammation, autonomic function, and physical activity. Among FFM traits, only Openness was associated with risk over and above Stability, and, unlike Stability, this relationship was unexplained by the intervening variables. A Stability meta-trait covaries with midlife cardiometabolic risk, and this association is accounted for by three candidate biological and behavioral factors.
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Kurajoh M, Koyama H, Kadoya M, Naka M, Miyoshi A, Kanzaki A, Kakutani-Hatayama M, Okazaki H, Shoji T, Moriwaki Y, Yamamoto T, Emoto M, Inaba M, Namba M. Plasma leptin level is associated with cardiac autonomic dysfunction in patients with type 2 diabetes: HSCAA study. Cardiovasc Diabetol 2015; 14:117. [PMID: 26338087 PMCID: PMC4560071 DOI: 10.1186/s12933-015-0280-6] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2015] [Accepted: 08/24/2015] [Indexed: 12/15/2022] Open
Abstract
Background It has been shown that visceral fat accumulation is associated with autonomic dysfunction, though the precise mechanism remains unclear. A recent basic study found that leptin can directly modulate autonomic function through the dorsomedial hypothalamus in relation to obesity. Here, we investigated the mutual relationships among plasma leptin, visceral fat accumulation, and cardiac autonomic dysfunction in patients with type 2 diabetes. Methods This cross-sectional study included 100 diabetic patients, and 100 age- and gender-matched non-diabetic patients with cardiovascular risk factors. Plasma leptin and soluble leptin receptor levels, visceral fat area (VFA), and heart rate variability (HRV) were determined in addition to classical cardiovascular risk factors. Results In the type 2 diabetic patients, VFA was significantly (p < 0.05) and inversely associated with HRV parameters (SDNN: r = −0.243; SDANN5: r = −0.238), while the plasma level of leptin, but not soluble leptin receptor, was also significantly (p < 0.05) and inversely associated with HRV parameters (SDNN: r = −0.243; SDANN5: r = −0.231). Multiple regression analysis showed that plasma leptin was significantly associated with SDNN and SDANN5 independent of other factors, including age, gender, presence of hypertension and dyslipidemia, duration of diabetes, HbA1c, and eGFR. Furthermore, the relationship of leptin with SDNN and SDANN5 (β = −0.279 and −0.254, respectively) remained significant (p < 0.05) after adjustment for VFA. In patients without diabetes, no significant associations were observed between leptin and any of the HRV parameters. Conclusions Hyperleptinemia may be involved in cardiac autonomic dysfunction in patients with type 2 diabetes and visceral obesity.
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Affiliation(s)
- Masafumi Kurajoh
- Division of Diabetes, Endocrinology and Metabolism, Department of Internal Medicine, Hyogo College of Medicine, 1-1 Mukogawa-cho, Nishinomiya, Hyogo, 663-8501, Japan.
| | - Hidenori Koyama
- Division of Diabetes, Endocrinology and Metabolism, Department of Internal Medicine, Hyogo College of Medicine, 1-1 Mukogawa-cho, Nishinomiya, Hyogo, 663-8501, Japan.
| | - Manabu Kadoya
- Division of Diabetes, Endocrinology and Metabolism, Department of Internal Medicine, Hyogo College of Medicine, 1-1 Mukogawa-cho, Nishinomiya, Hyogo, 663-8501, Japan.
| | - Mariko Naka
- Division of Diabetes, Endocrinology and Metabolism, Department of Internal Medicine, Hyogo College of Medicine, 1-1 Mukogawa-cho, Nishinomiya, Hyogo, 663-8501, Japan.
| | - Akio Miyoshi
- Division of Diabetes, Endocrinology and Metabolism, Department of Internal Medicine, Hyogo College of Medicine, 1-1 Mukogawa-cho, Nishinomiya, Hyogo, 663-8501, Japan.
| | - Akinori Kanzaki
- Division of Diabetes, Endocrinology and Metabolism, Department of Internal Medicine, Hyogo College of Medicine, 1-1 Mukogawa-cho, Nishinomiya, Hyogo, 663-8501, Japan.
| | - Miki Kakutani-Hatayama
- Division of Diabetes, Endocrinology and Metabolism, Department of Internal Medicine, Hyogo College of Medicine, 1-1 Mukogawa-cho, Nishinomiya, Hyogo, 663-8501, Japan.
| | - Hirokazu Okazaki
- Division of Diabetes, Endocrinology and Metabolism, Department of Internal Medicine, Hyogo College of Medicine, 1-1 Mukogawa-cho, Nishinomiya, Hyogo, 663-8501, Japan.
| | - Takuhito Shoji
- Division of Diabetes, Endocrinology and Metabolism, Department of Internal Medicine, Hyogo College of Medicine, 1-1 Mukogawa-cho, Nishinomiya, Hyogo, 663-8501, Japan.
| | - Yuji Moriwaki
- Division of Diabetes, Endocrinology and Metabolism, Department of Internal Medicine, Hyogo College of Medicine, 1-1 Mukogawa-cho, Nishinomiya, Hyogo, 663-8501, Japan.
| | - Tetsuya Yamamoto
- Division of Diabetes, Endocrinology and Metabolism, Department of Internal Medicine, Hyogo College of Medicine, 1-1 Mukogawa-cho, Nishinomiya, Hyogo, 663-8501, Japan.
| | - Masanori Emoto
- Department of Endocrinology, Metabolism and Molecular Medicine, Osaka City University Graduate School of Medicine, Osaka, Japan.
| | - Masaaki Inaba
- Department of Endocrinology, Metabolism and Molecular Medicine, Osaka City University Graduate School of Medicine, Osaka, Japan.
| | - Mitsuyoshi Namba
- Division of Diabetes, Endocrinology and Metabolism, Department of Internal Medicine, Hyogo College of Medicine, 1-1 Mukogawa-cho, Nishinomiya, Hyogo, 663-8501, Japan.
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Chen TY, Chang CC, Tzeng NS, Kuo TBJ, Huang SY, Lu RB, Chang HA. Different Patterns of Heart Rate Variability During Acute Withdrawal in Alcohol Dependent Patients With and Without Comorbid Anxiety and/or Depression. J PSYCHOPHYSIOL 2015. [DOI: 10.1027/0269-8803/a000139] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Abstract. The aim of the present study was to examine cardiac autonomic function during acute alcohol withdrawal (AW) in two clinical subgroups with alcohol dependence. To this end we compared 24 patients with pure alcohol dependence (Pure ALC) with 24 alcohol-dependent patients who had comorbid symptoms of anxiety and/or depression (ANX/DEP ALC) on their mean heart rate and several (spectral) measures of heart rate variability (HRV) obtained from the patients when they were withdrawn from alcohol. To elucidate the contribution of anxiety and depression to the cardiac measures we moreover compared these groups to 120 non-comorbid patients with major depressive disorder (MDD), 24 patients with anxiety disorders and 120 matched controls. The Hamilton Depression Rating Scale (HAM-D) and the Hamilton Anxiety Rating Scale (HAM-A) were employed for the clinical symptom ratings. The cardiac measures were found to significantly discriminate among the groups (Hotelling-Lawley F = 3.18, p < .001). Post hoc testing revealed that total HRV (variance in interbeat intervals) was reduced in Pure ALC (p = .033, Cohen’s d = −0.51), ANX/DEP ALC (p < .001, Cohen’s d = −1.33), MDD (p < .001, Cohen’s d = −0.66), and anxiety disorders (p = .002, Cohen’s d = −0.69), relative to controls. When these comparisons were adjusted for smoking history in pack-years, the results were unchanged. The ANX/DEP ALC patients showed significantly greater reduction in total HRV and high frequency (HF)-HRV compared with the Pure ALC patients. Both anxiety and depression moderated the influence of alcohol use and withdrawal on resting HRV. Our results suggest that compared to Pure ALC, ANX/DEP ALC presents a subtype of alcohol dependence with higher vulnerability to reduced HRV during acute AW. Implications for cardiovascular risk are discussed.
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Affiliation(s)
- Tien-Yu Chen
- Department of Psychiatry, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Chuan-Chia Chang
- Department of Psychiatry, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Nian-Sheng Tzeng
- Department of Psychiatry, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
- Student Counseling Center, National Defense Medical Center, Taipei, Taiwan
| | - Terry B. J. Kuo
- Institute of Brain Science, National Yang-Ming University, Taipei, Taiwan
| | - San-Yuan Huang
- Department of Psychiatry, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Ru-Band Lu
- Institute of Behavioral Medicine and Department of Psychiatry, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Hsin-An Chang
- Department of Psychiatry, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
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74
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Wu MN, Lai CL, Liu CK, Yen CW, Liou LM, Hsieh CF, Tsai MJ, Chen SCJ, Hsu CY. Basal sympathetic predominance in periodic limb movements in sleep with obstructive sleep apnea. J Sleep Res 2015; 24:722-9. [PMID: 26118626 DOI: 10.1111/jsr.12314] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2015] [Accepted: 05/10/2015] [Indexed: 12/01/2022]
Abstract
Because the impact of periodic limb movements in sleep (PLMS) is controversial, no consensus has been reached on the therapeutic strategy for PLMS in obstructive sleep apnea (OSA). To verify the hypothesis that PLMS is related to a negative impact on the cardiovascular system in OSA patients, this study investigated the basal autonomic regulation by heart rate variability (HRV) analysis. Sixty patients with mild-to-moderate OSA who underwent polysomnography (PSG) and completed sleep questionnaires were analysed retrospectively and divided into the PLMS group (n = 30) and the non-PLMS group (n = 30). Epochs without any sleep events or continuous effects were evaluated using HRV analysis. No significant difference was observed in the demographic data, PSG parameters or sleep questionnaires between the PLMS and non-PLMS groups, except for age. Patients in the PLMS group had significantly lower normalized high frequency (n-HF), high frequency (HF), square root of the mean of the sum of the squares of difference between adjacent NN intervals (RMSSD) and standard deviation of all normal to normal intervals index (SDNN-I), but had a higher normalized low frequency (n-LF) and LF/HF ratio. There was no significant difference in the Epworth Sleepiness Scale, the Pittsburgh Sleep Quality Index, the Short-Form 36 and the Hospital Anxiety and Depression Scale between the two groups. After adjustment for confounding variables, PLMS remained an independent predictor of n-LF (β = 0.0901, P = 0.0081), LF/HF ratio (β = 0.5351, P = 0.0361), RMSSD (β = -20.1620, P = 0.0455) and n-HF (β = -0.0886, P = 0.0134). In conclusion, PLMS is related independently to basal sympathetic predominance and has a potentially negative impact on the cardiovascular system of OSA patients.
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Affiliation(s)
- Meng-Ni Wu
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,Department of Master's Program in Neurology, Faculty of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chiou-Lian Lai
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,Department of Master's Program in Neurology, Faculty of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Ching-Kuan Liu
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,Department of Master's Program in Neurology, Faculty of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chen-Wen Yen
- Department of Mechanical and Electro-mechanical Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan
| | - Li-Min Liou
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,Department of Master's Program in Neurology, Faculty of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Cheng-Fang Hsieh
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,Division of Geriatrics and Gerontology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Ming-Ju Tsai
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.,Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Sharon C-J Chen
- Department of Medical Imaging and Radiation Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chung-Yao Hsu
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,Department of Master's Program in Neurology, Faculty of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
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75
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Goldkorn R, Naimushin A, Shlomo N, Dan A, Oieru D, Moalem I, Rozen E, Gur I, Levitan J, Rosenmann D, Mogilewsky Y, Klempfner R, Goldenberg I. Comparison of the usefulness of heart rate variability versus exercise stress testing for the detection of myocardial ischemia in patients without known coronary artery disease. Am J Cardiol 2015; 115:1518-22. [PMID: 25872904 DOI: 10.1016/j.amjcard.2015.02.054] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2014] [Revised: 02/26/2015] [Accepted: 02/26/2015] [Indexed: 11/16/2022]
Abstract
Heart rate variability (HRV) has been shown to be attenuated in patients with coronary artery disease (CAD) and may, therefore, be possibly used for the early detection of myocardial ischemia. We aimed to evaluate the diagnostic yield of a novel short-term HRV algorithm for the detection of myocardial ischemia in subjects without known CAD. We prospectively enrolled 450 subjects without known CAD who were referred to tertiary medical centers for exercise stress testing (EST) with single-photon emission computed tomography myocardial perfusion imaging (MPI). All subjects underwent 1-hour Holter testing with subsequent HRV analysis before EST with MPI. The diagnostic yield of HRV analysis was compared with EST, using MPI as the gold standard for the noninvasive detection of myocardial ischemia. All subjects had intermediate pretest probability for CAD. Mean age was 62 years, 38% were women, 51% had hypertension, and 25% diabetes mellitus. HRV analysis showed superior sensitivity (77%) compared with standard EST (27%). After multivariate adjustment, HRV was independently associated with an 8.4-fold (p <0.001) increased likelihood for the detection of myocardial ischemia by MPI, whereas EST did not show a statistically significant association with a positive MPI (odds ratio 2.1; p = 0.12). Of subjects who were referred for subsequent coronary angiography, the respective sensitivities of HRV and EST for the detection of significant CAD were 73% versus 26%. Our data suggest that HRV can be used as an important noninvasive technique for the detection of myocardial ischemia in subjects without known CAD, providing superior sensitivity to conventional EST in this population.
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Affiliation(s)
- Ronen Goldkorn
- Leviev Heart Center, Sheba Medical Center, Tel Hashomer, Israel.
| | | | - Nir Shlomo
- Israeli Association for Cardiovascular Trials, Sheba Medical Center, Tel Hashomer, Israel
| | - Ariella Dan
- Israeli Association for Cardiovascular Trials, Sheba Medical Center, Tel Hashomer, Israel
| | - Dan Oieru
- Leviev Heart Center, Sheba Medical Center, Tel Hashomer, Israel
| | - Israel Moalem
- Leviev Heart Center, Sheba Medical Center, Tel Hashomer, Israel
| | - Eli Rozen
- Leviev Heart Center, Sheba Medical Center, Tel Hashomer, Israel
| | - Ilan Gur
- Israeli Association for Cardiovascular Trials, Sheba Medical Center, Tel Hashomer, Israel
| | | | - David Rosenmann
- The Heart Institute, Shaarei Zeddek Medical Center, Jerusalem, Israel
| | - Yakov Mogilewsky
- The Heart Institute, Shaarei Zeddek Medical Center, Jerusalem, Israel
| | - Robert Klempfner
- Leviev Heart Center, Sheba Medical Center, Tel Hashomer, Israel; Israeli Association for Cardiovascular Trials, Sheba Medical Center, Tel Hashomer, Israel
| | - Ilan Goldenberg
- Leviev Heart Center, Sheba Medical Center, Tel Hashomer, Israel; Israeli Association for Cardiovascular Trials, Sheba Medical Center, Tel Hashomer, Israel; Tel Aviv University, Tel Aviv, Israel
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76
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Heart rate and respiratory response to doxapram in patients with panic disorder. Psychiatry Res 2015; 227:32-8. [PMID: 25819170 PMCID: PMC4420657 DOI: 10.1016/j.psychres.2015.03.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2014] [Revised: 02/13/2015] [Accepted: 03/01/2015] [Indexed: 12/19/2022]
Abstract
Panic disorder (PD) is characterized by anticipatory anxiety and panic, both causing physiological arousal. We investigated the differential responses between anticipatory anxiety and panic in PD and healthy controls (HC). Subjects (15 PD and 30 HC) received an injection of a respiratory stimulant, doxapram, with a high rate of producing panic attacks in PD patients, or an injection of saline. PD subjects had significantly higher scores in anxiety and panic symptoms during both conditions. Analysis of heart rate variability (HRV) indices showed higher sympathetic activity (LF) during anticipatory anxiety and panic states, an increase in the ratio of LF/HF during the anticipatory and panic states and a decrease in parasympathetic (HF) component in PD patients. During doxapram PD subjects increased their LF/HF ratio while HC had a reduction in LF/HF. Parasympathetic component of HRV was lower during anticipatory anxiety in PD. In general, PD showed greater sympathetic and psychological responses related to anxiety and sensations of dyspnea, reduced parasympathetic responses during anticipatory and panic states, but no differences in respiratory response. This confirms previous studies showing that PD patients do not have an intrinsic respiratory abnormality (either heightened or dysregulated) at the level of the brain stem but rather an exaggerated fear response.
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77
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Rodríguez-Colón SM, He F, Bixler EO, Fernandez-Mendoza J, Vgontzas AN, Calhoun S, Zheng ZJ, Liao D. Metabolic syndrome burden in apparently healthy adolescents is adversely associated with cardiac autonomic modulation--Penn State Children Cohort. Metabolism 2015; 64:626-32. [PMID: 25684658 PMCID: PMC4372460 DOI: 10.1016/j.metabol.2015.01.018] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2014] [Revised: 01/22/2015] [Accepted: 01/28/2015] [Indexed: 11/16/2022]
Abstract
BACKGROUND Reduced cardiac autonomic modulation (CAM) has been associated with metabolic syndrome (MetS) in adults. However, the association between MetS component cluster and CAM has not been examined in adolescents. METHODS We conducted a cross-sectional analysis using data from the Penn State Child Cohort follow-up examination. CAM was assessed by heart rate variability (HRV) analysis of 39-h RR intervals, including frequency (high frequency, HF; low frequency, LF; and LF/HF ratio) and time (SDNN, standard deviation of all RR intervals; RMSSD, square root of the mean of the sum of the squares of differences between adjacent RR intervals; and HR, heart rate) domain variables. To assess the MetS burden, we used continuous MetS score (cMetS)--sum of the age and sex-adjusted standardized residual (Z-score) of five established MetS components. Linear mixed-effect models were used to analyze the association between cMetS and CAM in the entire population and stratified by gender. RESULTS After adjusting for age, sex, and race, cMetS was significantly associated with reduced HRV and higher HR. With 1 standard deviation increase in cMetS, there was a significant decrease in HF (-0.10 (SE = 0.02)), LF (-0.07 (SE = 0.01)), SDNN (-1.97 (SE = 0.50)), and RMSSD (-1.70 (SE = 0.72)), and increase in LF/HF (0.08 (SE = 0.02)) and HR (1.40 (SE = 0.26)). All cMetS components, with the exception of high-density lipoprotein (HDL), were associated with significantly decreased HRV and increased HR. High blood pressure (MAP) and triglyceride (TG) levels were also associated with an increase in LF/HF and decrease in RMSSD. An increase in high-density lipoprotein was only associated with higher LF and SDNN. Moreover, cMetS and HRV associations were more pronounced in males than in females. The associations between HRV and. MAP, TG, and HDL were more pronounced in females. CONCLUSIONS cMetS score is associated with lower HRV, suggesting an adverse impact on CAM, even in apparently healthy adolescents.
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Affiliation(s)
- Sol M Rodríguez-Colón
- Department of Public Health Sciences Penn State University College of Medicine, Hershey, PA, 17033.
| | - Fan He
- Department of Public Health Sciences Penn State University College of Medicine, Hershey, PA, 17033.
| | - Edward O Bixler
- Sleep Research &Treatment Center, Department of Psychiatry, Penn State University College of Medicine, Hershey, PA, 17033.
| | - Julio Fernandez-Mendoza
- Sleep Research &Treatment Center, Department of Psychiatry, Penn State University College of Medicine, Hershey, PA, 17033.
| | - Alexandros N Vgontzas
- Sleep Research &Treatment Center, Department of Psychiatry, Penn State University College of Medicine, Hershey, PA, 17033.
| | - Susan Calhoun
- Sleep Research &Treatment Center, Department of Psychiatry, Penn State University College of Medicine, Hershey, PA, 17033.
| | - Zhi-Jie Zheng
- School of Public Health, Shanghai Jiao Tong University, Shanghai, China.
| | - Duanping Liao
- Department of Public Health Sciences Penn State University College of Medicine, Hershey, PA, 17033.
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78
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Jiang XL, Zhang ZG, Chen Y, Ye CP, Lei Y, Wu L, Zhang Y, Xiao ZJ. A blunted sympathetic and accentuated parasympathetic response to postural change in subjects with depressive disorders. J Affect Disord 2015; 175:269-74. [PMID: 25658503 DOI: 10.1016/j.jad.2015.01.009] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2014] [Revised: 01/08/2015] [Accepted: 01/08/2015] [Indexed: 10/24/2022]
Abstract
BACKGROUND In recent years, the bi-directional relationship between depression and ANS dysfunction has received considerable attention, but findings remain inconclusive. In this study, we aimed to examine the spectral HRV response to postural change in subjects with depressive disorders and in healthy controls, in order to gain insight into the characteristics of autonomic nervous system (ANS) response to postural change in subjects with depressive disorders. METHODS We compared HRV response to postural change between subjects with depressive disorders and healthy controls aged 20-37 years. Depression severity was assessed by the self-reported Beck Depression Inventory-II (BDI-II). Spectral HRV was analyzed at two moments: 10 min seated rest and 10 min at standing position, with spontaneous breathing. RESULTS No significant differences existed in the resting spectral HRV indices between subjects with depressive disorders and controls, however, following postural change, the increasing level of LF and LF/HF was lower and the decreasing level of HF power was higher, in the individuals with depression than that in healthy subjects. The differences in the LF power, HF power and the LF/HF ratio between seated rest before standing up and after postural change were found negatively correlated with depression severity. CONCLUSION We found a blunted sympathetic and accentuated parasympathetic response to postural change in subjects with depressive disorder, suggesting that the autonomic impairment and early ANS dysfunction may exist among depressed individuals. These findings indicated that spectral analysis of HRV associated with postural change may be a more sensitive method than resting HRV analysis for detecting ANS dysfunction in depressive disorders. LIMITATIONS Further studies are needed to expand the sample size and to clarify the mechanisms responsible for the autonomic dysfunction observed in individuals with depressive disorders.
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Affiliation(s)
- Xiao-ling Jiang
- Department of Epidemiology, School of Public Health and Tropical Medicine, Southern Medical University, Guangdong Province 510515, China.
| | - Zheng-gang Zhang
- Department of Physiology, School of Basic Medical Sciences, Southern Medical University, Guangdong Province 510515, China
| | - Yuanyuan Chen
- Department of Epidemiology, School of Public Health and Tropical Medicine, Southern Medical University, Guangdong Province 510515, China
| | - Cui-Ping Ye
- Department of Epidemiology, School of Public Health and Tropical Medicine, Southern Medical University, Guangdong Province 510515, China
| | - Ying Lei
- Department of Epidemiology, School of Public Health and Tropical Medicine, Southern Medical University, Guangdong Province 510515, China
| | - Lei Wu
- Department of Epidemiology, School of Public Health and Tropical Medicine, Southern Medical University, Guangdong Province 510515, China
| | - Ying Zhang
- Department of Epidemiology, School of Public Health and Tropical Medicine, Southern Medical University, Guangdong Province 510515, China
| | - Zhong-ju Xiao
- Department of Physiology, School of Basic Medical Sciences, Southern Medical University, Guangdong Province 510515, China.
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79
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Noninvasive assessment of hemodynamics: a comparative analysis of fingertip pulse contour analysis and impedance cardiography. Blood Press Monit 2015; 20:209-14. [PMID: 25815738 DOI: 10.1097/mbp.0000000000000118] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
OBJECTIVE Systemic hemodynamic assessment is useful for characterizing the underlying physiology of hypertension, selecting individualized treatment approaches, and understanding the underlying mechanisms of action of interventions. Invasive methods are not suitable for routine clinic or research use, and noninvasive methods such as impedance cardiography have technical and practical limitations. Fingertip pulse contour analysis using the Nexfin device is a novel alternative to noninvasive assessment of blood pressure and hemodynamics. Although both impedance cardiography and the Nexfin have been validated against invasive methods, the extent to which they are correlated with each other is unknown. This study is a comparative analysis of data simultaneously obtained by impedance cardiography and using the Nexfin device. METHODS As part of a larger clinical trial, 13 adults with type 2 diabetes completed cardiovascular reactivity testing on three occasions: at study baseline and after two 4-week dietary treatment periods. Blood pressure, hemodynamics, and heart rate variability were assessed at rest and during acute mental stress. RESULTS Blood pressure, heart rate, and heart rate variability data were significantly correlated between the two devices, but hemodynamic data (stroke volume, cardiac output, total peripheral resistance) were not significantly correlated. Both techniques detected treatment-related changes in blood pressure and total peripheral resistance, but significantly differed in the magnitude and/or direction of treatment effects. CONCLUSION We conclude that Nexfin is not an appropriate alternative to impedance cardiography for measurement of underlying hemodynamics in psychophysiological research, but may be useful for beat-to-beat monitoring of blood pressure and heart rate variability.
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80
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Kadoya M, Koyama H, Kurajoh M, Kanzaki A, Kakutani-Hatayama M, Okazaki H, Shoji T, Moriwaki Y, Yamamoto T, Emoto M, Inaba M, Namba M. Sleep, cardiac autonomic function, and carotid atherosclerosis in patients with cardiovascular risks: HSCAA study. Atherosclerosis 2014; 238:409-14. [PMID: 25558036 DOI: 10.1016/j.atherosclerosis.2014.12.032] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2014] [Revised: 12/06/2014] [Accepted: 12/14/2014] [Indexed: 10/24/2022]
Abstract
OBJECTIVES Behavioral and psychosocial factors have been gaining increased attention in regard to cardiovascular diseases. We evaluated sleep conditions, cardiac autonomic function, and carotid atherosclerosis in subjects who participated in the Hyogo Sleep Cardio-Autonomic Atherosclerosis (HSCAA) Study. METHODS This cross-sectional study included 330 serial patients registered in the HSCAA study who were free from past cardiovascular diseases, and prescribing α- or β-blockers. In addition to clinical background and classical cardiovascular risk factors, sleep efficiency, apnea hypopnea index (AHI), awake physical activity, heart rate variability (HRV), carotid intima-media thickness (IMT), presence of plaque and plaque score were determined. RESULTS Sleep efficiency (r = -0.183) and all HRV parameters (SDNN: r = -0.202; rMSSD: r = -0.234; pNN50: r = -0.277) were significantly (p < 0.01) and negatively associated with IMT, while AHI (r = 0.220, p < 0.001) was positively associated with IMT. Similarly, sleep efficiency (r = -0.129), HRV parameters (SDNN: r = -0.170; rMSSD: r = -0.217; pNN50: r = -0.260) and AHI (r = 0.184) were also significantly (p < 0.05) associated with plaque scores. Multivariate logistic regression analyses showed that rMSSD, but not sleep efficiency or AHI, was significantly associated with carotid plaque (OR 0.74, 95% CI 0.56-0.98, p = 0.037), independent of classical risk factors. The association of rMSSD with carotid plaque remained significant even after adjustment for sleep efficiency or AHI. A comparison of risk factors in specific subgroups showed that the association of lower HRV with carotid plaque was more prominent in patients with cardiovascular risk factors including male gender, hypertension, dyslipidemia and diabetes mellitus. CONCLUSION Cardiac autonomic nervous dysfunction was independently associated with carotid atherosclerosis, independent of sleep condition. Moreover, that association was more prominent in specific subgroups with cardiovascular risk factors.
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Affiliation(s)
- Manabu Kadoya
- Department of Internal Medicine, Division of Diabetes, Endocrinology and Metabolism, Hyogo College of Medicine, Nishinomiya, Hyogo, Japan
| | - Hidenori Koyama
- Department of Internal Medicine, Division of Diabetes, Endocrinology and Metabolism, Hyogo College of Medicine, Nishinomiya, Hyogo, Japan.
| | - Masafumi Kurajoh
- Department of Internal Medicine, Division of Diabetes, Endocrinology and Metabolism, Hyogo College of Medicine, Nishinomiya, Hyogo, Japan
| | - Akinori Kanzaki
- Department of Internal Medicine, Division of Diabetes, Endocrinology and Metabolism, Hyogo College of Medicine, Nishinomiya, Hyogo, Japan
| | - Miki Kakutani-Hatayama
- Department of Internal Medicine, Division of Diabetes, Endocrinology and Metabolism, Hyogo College of Medicine, Nishinomiya, Hyogo, Japan
| | - Hirokazu Okazaki
- Department of Internal Medicine, Division of Diabetes, Endocrinology and Metabolism, Hyogo College of Medicine, Nishinomiya, Hyogo, Japan
| | - Takuhito Shoji
- Department of Internal Medicine, Division of Diabetes, Endocrinology and Metabolism, Hyogo College of Medicine, Nishinomiya, Hyogo, Japan
| | - Yuji Moriwaki
- Department of Internal Medicine, Division of Diabetes, Endocrinology and Metabolism, Hyogo College of Medicine, Nishinomiya, Hyogo, Japan
| | - Tetsuya Yamamoto
- Department of Internal Medicine, Division of Diabetes, Endocrinology and Metabolism, Hyogo College of Medicine, Nishinomiya, Hyogo, Japan
| | - Masanori Emoto
- Department of Endocrinology, Metabolism and Molecular Medicine, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Masaaki Inaba
- Department of Endocrinology, Metabolism and Molecular Medicine, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Mitsuyoshi Namba
- Department of Internal Medicine, Division of Diabetes, Endocrinology and Metabolism, Hyogo College of Medicine, Nishinomiya, Hyogo, Japan
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81
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Jandackova VK, Jackowska M. Low heart rate variability in unemployed men: The possible mediating effects of life satisfaction. PSYCHOL HEALTH MED 2014; 20:530-40. [PMID: 25482493 DOI: 10.1080/13548506.2014.987148] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Unemployment has consistently been associated with increased risk of cardiovascular disease and premature mortality, and impaired autonomic modulation of the heart might be one mechanism partly explaining this. This study examined whether the possible effect of unemployment on cardiac autonomic modulation is in part mediated by lower psychological well-being. The sample comprised of 15 job-seeking men aged 30-49 years matched with 15 employed men on age, type of job, smoking habits, alcohol intake, frequency of physical activity, and body mass index. Heart rate variability (HRV) during a modified orthostatic test was the measure of cardiac autonomic modulation, and life satisfaction was the measure of psychological well-being. Unemployed men had significantly lower overall HRV (p = .040) than controls. This association was partially mediated through lower general life satisfaction, and in particular, by low financial satisfaction, independently of demographic and/or behavioral factors that influence HRV. These findings suggest that seeking a job is a potential stressor that may reduce overall HRV and contribute towards disturbance of cardiac autonomic modulation in men. Financial difficulties could be one mechanism through which the effects of unemployment are translated into impaired autonomic modulation.
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Affiliation(s)
- V K Jandackova
- a Department of Epidemiology and Public Health , University of Ostrava , Ostrava , Czech Republic
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82
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Rodríguez-Colón SM, He F, Bixler EO, Fernandez-Mendoza J, Vgontzas AN, Calhoun S, Zheng ZJ, Liao D. Sleep variability and cardiac autonomic modulation in adolescents - Penn State Child Cohort (PSCC) study. Sleep Med 2014; 16:67-72. [PMID: 25555635 DOI: 10.1016/j.sleep.2014.10.007] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2014] [Revised: 10/17/2014] [Accepted: 10/22/2014] [Indexed: 12/19/2022]
Abstract
OBJECTIVE To investigate the effects of objectively measured habitual sleep patterns on cardiac autonomic modulation (CAM) in a population-based sample of adolescents. METHODS We used data from 421 adolescents who completed the follow-up examination in the Penn State Children Cohort study. CAM was assessed by heart rate (HR) variability (HRV) analysis of beat-to-beat normal R-R intervals from a 39-h electrocardiogram, on a 30-min basis. The HRV indices included frequency domain (HF, LF, and LF/HF ratio), and time domain (SDNN, RMSSD, and heart rate or HR) variables. Actigraphy was used for seven consecutive nights to estimate nightly sleep duration and time in bed. The seven-night mean (SD) of sleep duration and sleep efficiency were used to represent sleep duration, duration variability, sleep efficiency, and efficiency variability, respectively. HF and LF were log-transformed for statistical analysis. Linear mixed-effect models were used to analyze the association between sleep patterns and CAM. RESULTS After adjusting for major confounders, increased sleep duration variability and efficiency variability were significantly associated with lower HRV and higher HR during the 39-h, as well as separated by daytime and nighttime. For instance, a 1-h increase in sleep duration variability is associated with -0.14(0.04), -0.12(0.06), and -0.16(0.05) ms(2) decrease in total, daytime, and nighttime HF, respectively. No associations were found between sleep duration, or sleep efficiency and HRV. CONCLUSION Higher habitual sleep duration variability and efficiency variability are associated with lower HRV and higher HR, suggesting that an irregular sleep pattern has an adverse impact on CAM, even in healthy adolescents.
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Affiliation(s)
- Sol M Rodríguez-Colón
- Department of Public Health Sciences, Penn State University College of Medicine, Hershey, PA 17033, USA
| | - Fan He
- Department of Public Health Sciences, Penn State University College of Medicine, Hershey, PA 17033, USA
| | - Edward O Bixler
- Sleep Research &Treatment Center, Department of Psychiatry, Penn State University College of Medicine, Hershey, PA 17033, USA
| | - Julio Fernandez-Mendoza
- Sleep Research &Treatment Center, Department of Psychiatry, Penn State University College of Medicine, Hershey, PA 17033, USA
| | - Alexandros N Vgontzas
- Sleep Research &Treatment Center, Department of Psychiatry, Penn State University College of Medicine, Hershey, PA 17033, USA
| | - Susan Calhoun
- Sleep Research &Treatment Center, Department of Psychiatry, Penn State University College of Medicine, Hershey, PA 17033, USA
| | - Zhi-Jie Zheng
- School of Public Health, Shanghai Jiao Tong University, Shanghai, China
| | - Duanping Liao
- Department of Public Health Sciences, Penn State University College of Medicine, Hershey, PA 17033, USA.
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83
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Stuckey MI, Tulppo MP, Kiviniemi AM, Petrella RJ. Heart rate variability and the metabolic syndrome: a systematic review of the literature. Diabetes Metab Res Rev 2014; 30:784-93. [PMID: 24816921 DOI: 10.1002/dmrr.2555] [Citation(s) in RCA: 60] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2013] [Revised: 04/02/2014] [Accepted: 04/18/2014] [Indexed: 11/09/2022]
Abstract
BACKGROUND A number of cross-sectional studies have examined associations between heart rate variability and metabolic syndrome, but differences in study populations, data collection and analysis methodologies make synthesis difficult. The purpose of this study was to systematically review published primary research examining associations between heart rate variability and metabolic syndrome or its individual risk factors. METHODS A systematic literature search of PubMed and EMBASE was conducted to identify relevant articles published from January 1999 to December 2012. Studies were included if they examined associations between heart rate variability analysed by standard protocols and metabolic syndrome risk factors according to published definitions. All papers were scored with a modified Downs and Black instrument, and data were extracted. RESULTS Fourteen studies were included. Heart rate variability generally was reduced in women with metabolic syndrome compared to those without, while results in men were inconsistent. Time and frequency domain heart rate variability parameters were associated with individual metabolic syndrome risk factors, though sex differences exist. Only two studies considered nonlinear and Poincaré plot heart rate variability parameters, which were reduced in metabolic syndrome. CONCLUSIONS Heart rate variability is altered differently in men and women with metabolic syndrome. Future studies should follow consistent heart rate variability analysis protocols and metabolic syndrome definitions and include more comprehensive analyses to investigate potential mechanisms.
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Affiliation(s)
- Melanie I Stuckey
- School of Kinesiology, The University of Western Ontario, London, ON, Canada; Aging, Rehabilitation and Geriatric Care Research Centre, Lawson Health Research Institute, London, ON, Canada
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Liao D, Rodríguez-Colón SM, He F, Bixler EO. Childhood obesity and autonomic dysfunction: risk for cardiac morbidity and mortality. CURRENT TREATMENT OPTIONS IN CARDIOVASCULAR MEDICINE 2014; 16:342. [PMID: 25143120 DOI: 10.1007/s11936-014-0342-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
OPINION STATEMENT The epidemic of childhood obesity is becoming a major predictor for risk of cardiovascular diseases (CVD) and mortality during adulthood. Alterations in the morphology of the heart due to obesity could be a predictor for the dysfunction of cardiac autonomic modulation (CAM). A number of epidemiologic studies have evaluated the effect of obesity and CAM in children, finding that obesity impaired the balance of CAM toward a sympathetic overflow and reduced parasympathetic modulation, a significant predictor of CVD morbidity and mortality in adults. Lifestyle modifications, for example long-term exercise programs, have been shown to improve CAM in the obese. This review discusses the recent evidence on childhood and adolescent obesity and its impact on CAM, as well as how early lifestyle changes could help improve CAM, which may in turn reduce the burden of CVD in adults.
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Affiliation(s)
- Duanping Liao
- Department of Public Health Sciences, Penn State University College of Medicine, 90 Hope Drive, Suite 2000/A210, PO Box 855, Hershey, PA, 17033, USA,
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Peifer C, Schulz A, Schächinger H, Baumann N, Antoni CH. The relation of flow-experience and physiological arousal under stress — Can u shape it? JOURNAL OF EXPERIMENTAL SOCIAL PSYCHOLOGY 2014. [DOI: 10.1016/j.jesp.2014.01.009] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
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Weichenthal S, Hoppin JA, Reeves F. Obesity and the cardiovascular health effects of fine particulate air pollution. Obesity (Silver Spring) 2014; 22:1580-9. [PMID: 24639433 PMCID: PMC4238790 DOI: 10.1002/oby.20748] [Citation(s) in RCA: 67] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2013] [Accepted: 03/13/2014] [Indexed: 12/19/2022]
Abstract
OBJECTIVE This review examines evidence related to the potential impact of obesity on the cardiovascular health effects of fine particulate air pollution (PM₂.₅). METHODS A PubMed search was conducted in December, 2013 and studies were included if they examined the relationship between PM₂.₅ and cardiovascular health as well as effect modification by obesity. RESULTS One hundred twenty-one citations were reviewed; three large prospective cohort studies and 14 panel studies with short-term follow-up met the above criteria. All three cohort studies reported stronger associations between PM₂.₅ and cardiovascular mortality among obese subjects and one reported a significant trend of increased risk with increased body mass index. Similarly, 11 of 14 panel studies reported stronger associations between PM₂.₅ and acute changes in physiological measures of cardiovascular health among obese subjects including outcomes such as blood pressure and arrhythmia. Although interactions were not always statistically significant, the consistent pattern of stronger associations among obese subjects suggests that obesity may modify the impact of PM2.5 on cardiovascular health. CONCLUSIONS Epidemiological evidence suggests that obesity may increase susceptibility to the cardiovascular health effects of PM₂.₅. This an important area of research as the public health impacts of air pollution could increase with increasing prevalence of obesity.
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Affiliation(s)
- Scott Weichenthal
- Health Canada, Air Health Sciences DivisionOttawa, Ontario, Canada
- Department of Occupational and Environmental Health, University of Montreal (CHUM) and Cité de la santé de LavalQuebec, Canada
| | - Jane A Hoppin
- Department of Biological Sciences, North Carolina State UniversityRaleigh, North Carolina, USA
| | - Francois Reeves
- Department of Occupational and Environmental Health, University of Montreal (CHUM) and Cité de la santé de LavalQuebec, Canada
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Abstract
Background Coronary heart disease (CHD) is a major health concern, affecting nearly half the middle-age population and responsible for nearly one-third of all deaths. Clinicians have responsibilities beyond diagnosing CHD, including risk stratification of patients for major adverse cardiac events (MACE), modifying the risks and treating the patient. In this first of a two-part review, identifying risk factors is reviewed, including more potential benefit from autonomic testing. Methods Traditional and non-traditional, and modifiable and non-modifiable risk factors for MACE where compared, including newer risk factors, such as inflammation, carotid intimal thickening, ankle-brachial index, CT calcium scoring, and autonomic function testing, specifically independent measurement of parasympathetic and sympathetic (P&S) activity. Results The Framingham Heart Study, and others, have identified traditional risk factors for the development of CHD. These factors effectively target high-risk patients, but a large number of individuals who will develop CHD and MACE are not identified. Many patients with CHD who appear to be well-managed by traditional therapies still experience MACE. In order to identify these patients, other possible risk factors have been explored. Advanced autonomic dysfunction, and its more severe form, cardiac autonomic neuropathy, have been strongly associated with an elevated risk of cardiac mortality and are diagnosable through P&S testing. Conclusions Independent measures of P&S activity, provides additional information and has the potential to incrementally add to risk assessment. This additional information enables physicians to (1) specifically target more high-risk patients and (2) titrate therapies, with autonomic testing guidance, in order to minimize risk of cardiac mortality and morbidity.
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Abstract
Background Coronary heart disease (CHD) is a major health concern, affecting nearly half the middle-age population and responsible for nearly one-third of all deaths. Clinicians have several major responsibilities beyond diagnosing CHD, such as risk stratification of patients for major adverse cardiac events (MACE) and treating risks, as well as the patient. This second of a two-part review series discusses treating risk factors, including autonomic dysfunction, and expected outcomes. Methods Therapies for treating cardiac mortality risks including cardiovascular autonomic neuropathy (CAN), are discussed. Results While risk factors effectively target high-risk patients, a large number of individuals who will develop complications from heart disease are not identified by current scoring systems. Many patients with heart conditions, who appear to be well-managed by traditional therapies, experience MACE. Parasympathetic and Sympathetic (P&S) function testing provides more information and has the potential to further aid doctors in individualizing and titrating therapy to minimize risk. Advanced autonomic dysfunction (AAD) and its more severe form cardiovascular autonomic neuropathy have been strongly associated with an elevated risk of cardiac mortality and are diagnosable through autonomic testing. This additional information includes patient-specific physiologic measures, such as sympathovagal balance (SB). Studies have shown that establishing and maintaining proper SB minimizes morbidity and mortality risk. Conclusions P&S testing promotes primary prevention, treating subclinical disease states, as well as secondary prevention, thereby improving patient outcomes through (1) maintaining wellness, (2) preventing symptoms and disorder and (3) treating subclinical manifestations (autonomic dysfunction), as well as (4) disease and symptoms (autonomic neuropathy).
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Sauder KA, McCrea CE, Ulbrecht JS, Kris-Etherton PM, West SG. Pistachio nut consumption modifies systemic hemodynamics, increases heart rate variability, and reduces ambulatory blood pressure in well-controlled type 2 diabetes: a randomized trial. J Am Heart Assoc 2014; 3:jah3571. [PMID: 24980134 PMCID: PMC4310367 DOI: 10.1161/jaha.114.000873] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Background Managing cardiovascular risk factors is important for reducing vascular complications in type 2 diabetes, even in individuals who have achieved glycemic control. Nut consumption is associated with reduced cardiovascular risk; however, there is mixed evidence about the effect of nuts on blood pressure (BP), and limited research on the underlying hemodynamics. This study assessed the effect of pistachio consumption on BP, systemic hemodynamics, and heart rate variability in adults with well‐controlled type 2 diabetes. Methods and Results We enrolled 30 adults (40 to 74 years) with type 2 diabetes in a randomized, crossover, controlled feeding study. After a 2‐week run‐in period, participants consumed a low‐fat control diet (27% fat) containing low‐fat/high‐carbohydrate snacks and a moderate‐fat diet (33% fat) containing pistachios (20% of total energy) for 4 weeks each, separated by a 2‐week washout. Following each diet period, we assessed BP, systemic hemodynamics, and heart rate variability at rest and during acute mental stress, and, in a subset of participants (n=21), 24‐hour ambulatory BP. BP at rest and during stress did not differ between treatments. The pistachio diet significantly reduced total peripheral resistance (−3.7±2.9%, P=0.004), increased cardiac output (3.1±2.3%, P=0.002), and improved some measures of heart rate variability (all P<0.05). Systolic ambulatory BP was significantly reduced by 3.5±2.2 mm Hg (P=0.046) following the pistachio diet, with the greatest reduction observed during sleep (−5.7±2.6 mm Hg, P=0.052). Conclusions A moderate‐fat diet containing pistachios modestly improves some cardiovascular risk factors in adults with well‐controlled type 2 diabetes. Clinical Trial Registration URL: www.clinicaltrials.gov. Unique identifier: NCT00956735.
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Affiliation(s)
- Katherine A Sauder
- Department of Biobehavioral Health, The Pennsylvania State University, University Park, PA (K.A.S., C.E.M.C., J.S.U., S.G.W.)
| | - Cindy E McCrea
- Department of Biobehavioral Health, The Pennsylvania State University, University Park, PA (K.A.S., C.E.M.C., J.S.U., S.G.W.)
| | - Jan S Ulbrecht
- Department of Biobehavioral Health, The Pennsylvania State University, University Park, PA (K.A.S., C.E.M.C., J.S.U., S.G.W.)
| | - Penny M Kris-Etherton
- Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA (P.M.K.E., S.G.W.)
| | - Sheila G West
- Department of Biobehavioral Health, The Pennsylvania State University, University Park, PA (K.A.S., C.E.M.C., J.S.U., S.G.W.) Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA (P.M.K.E., S.G.W.)
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Hu W, Cai J, Zeng D. Sample size/power calculation for stratified case-cohort design. Stat Med 2014; 33:3973-85. [PMID: 24889145 DOI: 10.1002/sim.6215] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2012] [Revised: 04/28/2014] [Accepted: 05/03/2014] [Indexed: 11/06/2022]
Abstract
The case-cohort (CC) study design usually has been used for risk factor assessment in epidemiologic studies or disease prevention trials for rare diseases. The sample size/power calculation for a stratified CC (SCC) design has not been addressed before. This article derives such result based on a stratified test statistic. Simulation studies show that the proposed test for the SCC design utilizing small sub-cohort sampling fractions is valid and efficient for situations where the disease rate is low. Furthermore, optimization of sampling in the SCC design is discussed and compared with proportional and balanced sampling techniques. An epidemiological study is provided to illustrate the sample size calculation under the SCC design.
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Affiliation(s)
- Wenrong Hu
- Applied Statistics, Department of Mathematical Sciences, The University of Memphis, Memphis, TN, U.S.A.; Department of Biostatistics, CSL Behring, King of Prussia, PA, U.S.A
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Vatsalya V, Momenan R, Hommer DW, Ramchandani VA. Cardiac reactivity during the ascending phase of acute intravenous alcohol exposure and association with subjective perceptions of intoxication in social drinkers. Alcohol Clin Exp Res 2014; 38:1247-54. [PMID: 24655119 PMCID: PMC4022188 DOI: 10.1111/acer.12377] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2013] [Accepted: 01/14/2014] [Indexed: 12/17/2022]
Abstract
BACKGROUND The aim of this study was to characterize cardiac reactivity measures, heart rate (HR), and heart rate variability (HRV), following acute intravenous (IV) alcohol administration and their association with subjective responses in social drinkers. METHODS Twenty-four subjects (11 females) received IV alcohol infusions to attain and clamp the breath alcohol concentration (BrAC) at 50 mg% or placebo in separate sessions. Serial 5-minute cardiac recordings at baseline and during the infusion were analyzed to obtain frequency and time domain cardiac measures. Self-reported subjective perceptions were also obtained at the same time points. RESULTS HR showed significant decreases from baseline, while the HRV measure pNN50 showed steady increases during the ascending phase of alcohol infusion. HR was inversely correlated with pNN50 across time and treatment. There was a significant association of HR with subjective feelings of high, intoxication, feeling drug effects, and liking drug effects across time during the ascending phase. CONCLUSIONS Acute IV alcohol resulted in decreases in HR and increases in HRV consistent with autonomic parasympathetic activation. The association of these changes with subjective responses suggests that cardiac reactivity may serve as a physiological marker of subjective alcohol effects. This study broadens the understanding of acute cardiovascular effects of alcohol and clinically significant cardiac conditions such as arrhythmia and cardiomyopathy associated with chronic alcohol drinking.
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Affiliation(s)
- Vatsalya Vatsalya
- Section on Human Psychopharmacology , Laboratory of Clinical and Translational Studies, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland
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Dhargave P, Nalini A, Abhishekh HA, Meghana A, Nagarathna R, Raju TR, Sathyaprabha TN. Assessment of cardiac autonomic function in patients with Duchenne muscular dystrophy using short term heart rate variability measures. Eur J Paediatr Neurol 2014; 18:317-20. [PMID: 24445161 DOI: 10.1016/j.ejpn.2013.12.009] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2013] [Revised: 12/23/2013] [Accepted: 12/30/2013] [Indexed: 02/06/2023]
Abstract
BACKGROUND Duchenne muscular dystrophy (DMD) is a hereditary neuromuscular disorder frequently associated with progressive cardiac dysfunction, and is one of the common causes of death in these children. Early diagnostic markers of cardiac involvement might help in timely intervention. In this study we compared the short term HRV measures of DMD children with that of healthy subjects. METHOD One hundred and twenty-four genetically confirmed boys with DMD and 50 age matched controls were recruited. Error-free, electrocardiogram was recorded in all subjects at rest in the supine position. HRV parameters were computed in time and frequency domains. Time domain measures included standard deviation of NN interval (SDNN), and root of square mean of successive NN interval (RMSSD). Frequency domain consisted of total, low frequency and high frequency power values. Ratio of low frequency and high frequency power values (LF/HF) was determined using customized software. RESULTS HRV parameters were significantly altered in DMD children as compared to healthy controls. Following parameters [mean (SD)] were reduced in DMD as compared to controls; RMSSD (in ms) [52.14 (33.2) vs 64.64 (43.2); p = 0.038], High frequency component (nu) [38.77 (14.4) vs 48.02 (17.1); p = 0.001] suggesting a loss of vagal tone. In contrast, measure of sympathovagal balance LF/HF [1.18 (0.87) vs 0.89 (0.79); p = 0.020] was increased in DMD group. CONCLUSION In this cross sectional study we have demonstrated alteration in autonomic tone in DMD. Loss of vagal tone and an increase in sympathetic tone were observed in DMD children. Further prospective studies are required to confirm the utility of these measures as predictors of adverse cardiac outcome in DMD.
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Affiliation(s)
- Pradnya Dhargave
- National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Atchayaram Nalini
- National Institute of Mental Health and Neurosciences, Bangalore, India
| | | | - Adoor Meghana
- National Institute of Mental Health and Neurosciences, Bangalore, India
| | | | - Trichur R Raju
- National Institute of Mental Health and Neurosciences, Bangalore, India
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Hillebrand S, de Mutsert R, den Heijer M, le Cessie S, Stehouwer C, Nijpels G, Dekker J. Autonomic function is not associated with the incidence of type 2 diabetes in a high-risk population: The Hoorn study. DIABETES & METABOLISM 2014; 40:128-36. [DOI: 10.1016/j.diabet.2013.10.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/09/2013] [Revised: 09/27/2013] [Accepted: 10/21/2013] [Indexed: 10/26/2022]
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Mori H, Saito I, Eguchi E, Maruyama K, Kato T, Tanigawa T. Heart rate variability and blood pressure among Japanese men and women: a community-based cross-sectional study. Hypertens Res 2014; 37:779-84. [PMID: 24646646 DOI: 10.1038/hr.2014.73] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2013] [Revised: 12/27/2013] [Accepted: 01/25/2014] [Indexed: 11/09/2022]
Abstract
Heart rate variability (HRV) is associated with blood pressure levels; however, very few studies have correlated HRV to lifestyle in the general population. We investigated 1418 men and 2040 women aged 40-74 years and measured the HRV indices in the time and frequency domains using a 5-min R-R interval recording. Multiple linear regression analyses were used to estimate the association between HRV and blood pressure levels after adjustment for major confounders. HRV indices were not associated with systolic blood pressure levels in men, whereas in women, one-s.d. (1-s.d.) increment of s.d. of normal R-R intervals (SDNN) was associated with a 1.21-mm Hg decrease in systolic blood pressure after adjusting for several confounders (P<0.05). In addition, a 1-s.d. increment of SDNN corresponded with 1.00 and 1.10 mm Hg reductions in diastolic blood pressure in men and women, respectively (P<0.05). When stratified by the use or nonuse of antihypertensive medication, these inverse associations were more evident in the nonuser group. Furthermore, among men not using antihypertensive medication, reduced HRV was associated with increased systolic blood pressure levels in nondrinkers. The data suggest that HRV reflects diastolic blood pressure better than systolic blood pressure levels for both sexes and that alcohol intake strongly affects systolic blood pressure levels in men, which may have weakened the association with HRV.
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Affiliation(s)
- Hiromi Mori
- Department of Public Health, Ehime University Graduate School of Medicine, Ehime, Japan
| | - Isao Saito
- Department of Basic Nursing and Health Science, Ehime University Graduate School of Medicine, Ehime, Japan
| | - Eri Eguchi
- Department of Public Health, Ehime University Graduate School of Medicine, Ehime, Japan
| | - Koutatsu Maruyama
- Department of Basic Medical Research and Education Ehime University Graduate School of Medicine, Ehime, Japan
| | - Tadahiro Kato
- Department of Applied Bioresource Science, Ehime University The United Graduate School of Agricultural Sciences, Ehime, Japan
| | - Takeshi Tanigawa
- Department of Public Health, Ehime University Graduate School of Medicine, Ehime, Japan
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The socially stressed heart. Insights from studies in rodents. Neurosci Biobehav Rev 2014; 39:51-60. [DOI: 10.1016/j.neubiorev.2013.12.005] [Citation(s) in RCA: 57] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2013] [Revised: 11/15/2013] [Accepted: 12/17/2013] [Indexed: 02/01/2023]
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Miyase Y, Miura SI, Shiga Y, Nakamura A, Norimatsu K, Nishikawa H, Saku K. The ratio of low-frequency to high-frequency in ambulatory electrocardiographic monitoring immediately before coronary angiography as a predictor of the presence of coronary artery disease. J Clin Med Res 2014; 6:36-43. [PMID: 24400030 PMCID: PMC3881988 DOI: 10.4021/jocmr1661w] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/24/2013] [Indexed: 12/19/2022] Open
Abstract
Background There is considerable evidence that impaired autonomic control may be associated with the etiology of coronary artery disease (CAD). We hypothesized that the autonomic imbalance as assessed by measuring heart rate variability (HRV) and biological parameters before and after coronary angiography (CAG) may predict the presence of CAD. Methods Ambulatory electrocardiographic (ECG) examination using eHEART® (Parama-Tec) is a novel, rapid, and simple method with which we can measure HRV within 5 min. We selected patients (n = 78, 68 ± 10 y) who underwent CAG and analyzed their ambulatory ECGs and blood levels of neuropeptides at both 1 day and immediately before and after CAG. The patients were divided into the presence (n = 64, CAD group) and absence of CAD (n = 14, non-CAD group). Results Although the CAD group showed an increase in blood pressure immediately before CAG, the ratio of low-frequency to high-frequency (LF/HF) was significantly decreased in the CAD group, but not in the non-CAD group. On the other hand, there was no difference in a coefficient of variation of the R-R interval or pulse rate between the two groups. CAD was independently associated with hypertension (P = 0.011), dyslipidemia (P = 0.009), and LF/HF immediately before CAG (P = 0.046) by a logistic regression analysis. Conclusions These findings suggest that LF/HF immediately before CAG in addition to hypertension and dyslipidemia might predict the presence of CAD.
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Affiliation(s)
- Yuiko Miyase
- Department of Cardiology, Fukuoka University School of Medicine, Fukuoka 814-0180, Japan
| | - Shin-Ichiro Miura
- Department of Cardiology, Fukuoka University School of Medicine, Fukuoka 814-0180, Japan ; Department of Molecular Cardiovascular Therapeutics, Fukuoka University School of Medicine, Fukuoka 814-0180, Japan
| | - Yuhei Shiga
- Department of Cardiology, Fukuoka University School of Medicine, Fukuoka 814-0180, Japan
| | - Ayumi Nakamura
- Department of Cardiology, Fukuoka University School of Medicine, Fukuoka 814-0180, Japan
| | - Kenji Norimatsu
- Department of Cardiology, Fukuoka University School of Medicine, Fukuoka 814-0180, Japan
| | - Hiroaki Nishikawa
- Department of Cardiology, Fukuoka University School of Medicine, Fukuoka 814-0180, Japan
| | - Keijiro Saku
- Department of Cardiology, Fukuoka University School of Medicine, Fukuoka 814-0180, Japan ; Department of Molecular Cardiovascular Therapeutics, Fukuoka University School of Medicine, Fukuoka 814-0180, Japan
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Long-term changes in heart rate variability in elementary school–aged children with sleep-disordered breathing. Sleep Med 2014; 15:76-82. [DOI: 10.1016/j.sleep.2013.06.023] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2013] [Revised: 06/21/2013] [Accepted: 06/24/2013] [Indexed: 11/20/2022]
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Chang HA, Chen LF, Chang CC, Tzeng NS, Kuo TJ, Kao YC, Huang SY. Depression, anxiety, and heart rate variability: A case-control study in Taiwan. JOURNAL OF MEDICAL SCIENCES 2014. [DOI: 10.4103/1011-4564.129383] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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Goldstein JM, Handa RJ, Tobet SA. Disruption of fetal hormonal programming (prenatal stress) implicates shared risk for sex differences in depression and cardiovascular disease. Front Neuroendocrinol 2014; 35:140-58. [PMID: 24355523 PMCID: PMC3917309 DOI: 10.1016/j.yfrne.2013.12.001] [Citation(s) in RCA: 57] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2013] [Revised: 10/31/2013] [Accepted: 12/04/2013] [Indexed: 12/19/2022]
Abstract
Comorbidity of major depressive disorder (MDD) and cardiovascular disease (CVD) represents the fourth leading cause of morbidity and mortality worldwide, and women have a two times greater risk than men. Thus understanding the pathophysiology has widespread implications for attenuation and prevention of disease burden. We suggest that sex-dependent MDD-CVD comorbidity may result from alterations in fetal programming consequent to the prenatal maternal environments that produce excess glucocorticoids, which then drive sex-dependent developmental alterations of the fetal hypothalamic-pituitary-adrenal (HPA) axis circuitry impacting mood, stress regulation, autonomic nervous system (ANS), and the vasculature in adulthood. Evidence is consistent with the hypothesis that disruptions of pathways associated with gamma aminobutyric acid (GABA) in neuronal and vascular development and growth factors have critical roles in key developmental periods and adult responses to injury in heart and brain. Understanding the potential fetal origins of these sex differences will contribute to development of novel sex-dependent therapeutics.
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Affiliation(s)
- J M Goldstein
- Departments of Psychiatry and Medicine, Harvard Medical School, Boston, MA, USA; Brigham and Women's Hospital (BWH), Connors Center for Women's Health & Gender Biology, 1620 Tremont St. BC-3-34, Boston, MA 02120, USA; BWH, Departments of Psychiatry and Medicine, 1620 Tremont St. BC-3-34, Boston, MA 02120, USA.
| | - R J Handa
- Department of Basic Medical Sciences, University of Arizona College of Medicine, 425 N. Fifth Street, Phoenix, AZ 85004, USA
| | - S A Tobet
- Department of Biomedical Sciences and School of Biomedical Engineering, Colorado State University, 1617 Campus Delivery, Fort Collins, CO 80523, USA
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Drawz PE, Babineau DC, Brecklin C, He J, Kallem RR, Soliman EZ, Xie D, Appleby D, Anderson AH, Rahman M. Heart rate variability is a predictor of mortality in chronic kidney disease: a report from the CRIC Study. Am J Nephrol 2013; 38:517-28. [PMID: 24356377 DOI: 10.1159/000357200] [Citation(s) in RCA: 57] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2013] [Accepted: 11/12/2013] [Indexed: 12/19/2022]
Abstract
BACKGROUND/AIMS Low heart rate variability (HRV) is a risk factor for adverse outcomes in the general population. We aimed to determine the factors associated with HRV and evaluate the association between low HRV and clinical outcomes in patients with chronic kidney disease (CKD). METHODS A 10-second electrocardiogram was obtained at baseline in the Chronic Renal Insufficiency Cohort (CRIC) Study. HRV was measured by the standard deviation of all R-R intervals (SDNN) and the root mean square of successive differences between R-R intervals (RMSSD). RESULTS In 3,245 CRIC participants with available baseline SDNN and RMSSD, lower HRV was associated with older age, lack of exercise, heart failure, elevated phosphorus and hemoglobin A1c, and low estimated glomerular filtration rate. After a median follow-up of 4.2 years, in fully adjusted models, lower HRV was not associated with renal [SDNN: hazard rate, HR = 0.96 (95% confidence interval, CI 0.88-1.05); RMSSD: HR = 0.97 (95% CI 0.88-1.07)] or cardiovascular outcomes [SDNN: HR = 1.02 (95% CI 0.92-1.13); RMSSD: HR = 1.00 (95% CI 0.90-1.10)]. There was a nonlinear relationship between RMSSD and all-cause mortality with increased risk with both low and high RMSSD (p = 0.04). CONCLUSIONS In a large cohort of patients with CKD, multiple risk factors for renal and cardiovascular diseases were associated with lower HRV. Lower HRV was not associated with increased risk for renal or cardiovascular outcomes, but both low and high RMSSD were associated with increased risk for all-cause mortality. In conclusion, HRV measured by RMSSD may be a novel and independent risk factor for mortality in CKD patients.
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Affiliation(s)
- Paul E Drawz
- Division of Renal Diseases and Hypertension, University of Minnesota, Minneapolis, Minn., USA
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