The DOI matches its Crossref record; 112 of the 114 references it cites were found in a registry or an index.
Heart rate variability in the prediction of mortality: A systematic review and meta-analysis of healthy and patient populations
Open accessAbstract
Measures of heart rate variability (HRV) as a predictor of risk of disease and mortality have been investigated from various perspectives for more than six decades. The aim of the present comprehensive meta-analysis is to examine eight different HRV parameters to determine their association with all-cause and cardiac mortality. A total of 32 studies and two individual participant datasets (IPD) with 37 samples and 38,008 participants were included. Lower HRV parameter values were significant predictors of higher mortality across different ages, sex, continents, populations and recording lengths. Most of the examined parameters showed comparable hazard ratios (HR). IPD sub-analysis for heart rate corrected HRV parameters confirmed the strong association between HRV and all-cause mortality. Meta-regressions revealed no effect modifier for HRs extracted from covariate-adjusted studies. Sub-analyses of studies comparing the lowest quartile of 5-min root mean square of successive differences (RMSSD) vs. the other quartiles yielded a combined HR of 1.56 (95% CI: 1.32-1.85). The applicability of HRV measurement in preventive settings is discussed.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“with low HRV being a marker of autonomic dysfunction associated with poor cardiovascular outcomes”
From Exercise benefits in cardiovascular diseases: From mechanisms to clinical implementation (2023) · cites this paper as [187]
In the citing paper
“Regular PA/exercise increases heart rate variability (HRV) -a measure of efferent PNS (vagal nerve) activity to the heart, with low HRV being a marker of autonomic dysfunction associated with poor cardiovascular outcomes-in both healthy individuals and in patients with CVD.186,187”
From Exercise benefits in cardiovascular diseases: From mechanisms to clinical implementation (2023) · cites this paper as [187]
Citations
Cites
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & The PRISMA Group (2009) · PLoS Medicine · doi:10.1371/journal.pmed.1000097 · Cited by 64,042
Quantifying heterogeneity in a meta‐analysis
Higgins, J. P. T., & Thompson, S. G. (2002) · Statistics in Medicine · doi:10.1002/sim.1186 · Cited by 36,763
Vos, T., Lim, S. S., Abbafati, C., Abbas, K. M., Abbasi, M., Abbasifard, M., Abbasi-Kangevari, M., Abbastabar, H., Abd-Allah, F., Abdelalim, A., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30925-9 · Cited by 19,358
Heart rate variability: Standards of measurement, physiological interpretation, and clinical use
Malik, M., Bigger, J. T., Camm, A. J., Kleiger, R. E., Malliani, A., Moss, A. J., & Schwartz, P. J. (1996) · European Heart Journal · doi:10.1093/oxfordjournals.eurheartj.a014868 · Cited by 15,289
Prediction of coronary heart disease using risk factor categories
Wilson, P. W. F., D’Agostino, R. B., Levy, D., Belanger, A. M., Silbershatz, H., & Kannel, W. B. (1998) · Circulation · doi:10.1161/01.cir.97.18.1837 · Cited by 9,581
An overview of heart rate variability metrics and norms
Shaffer, F., & Ginsberg, J. P. (2017) · Frontiers in Public Health · doi:10.3389/fpubh.2017.00258 · Cited by 7,185
Akselrod, S., Gordon, D., Ubel, F. A., Shannon, D. C., Berger, A. C., & Cohen, R. J. (1981) · Science · doi:10.1126/science.6166045 · Cited by 5,079
Parmar, M. K. B., Torri, V., & Stewart, L. (1998) · Statistics in Medicine · doi:10.1002/(sici)1097-0258(19981230)17:24 · Cited by 4,519
Thayer, J. F., Åhs, F., Fredrikson, M., Sollers, J. J., & Wager, T. D. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2011.11.009 · Cited by 3,224
Self-citationA model of neurovisceral integration in emotion regulation and dysregulation
Thayer, J. F., & Lane, R. D. (2000) · Journal of Affective Disorders · doi:10.1016/s0165-0327(00)00338-4 · Cited by 3,092
Self-citationThayer, J. F., & Lane, R. D. (2009) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2008.08.004 · Cited by 2,040
Self-citationLindström, J., & Tuomilehto, J. O. (2003) · Diabetes Care · doi:10.2337/diacare.26.3.725 · Cited by 1,937
An advanced detrending method with application to HRV analysis
Tarvainen, M. P., Ranta-aho, P. O., & Karjalainen, P. A. (2002) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.979357 · Cited by 1,167
The role of vagal function in the risk for cardiovascular disease and mortality
Thayer, J. F., & Lane, R. D. (2007) · Biological Psychology · doi:10.1016/j.biopsycho.2005.11.013 · Cited by 1,033
Self-citationSleep duration and mortality: a systematic review and meta-analysis
GALLICCHIO, L., & KALESAN, B. (2009) · Journal of Sleep Research · doi:10.1111/j.1365-2869.2008.00732.x · Cited by 979
Choosing effect measures and computing estimates of effect
Higgins, J. P., Li, T., & Deeks, J. J. (2019) · Cochrane Handbook for Systematic Reviews of Interventions · doi:10.1002/9781119536604.ch6 · Cited by 977
Stress and Health: A Review of Psychobiological Processes
O'Connor, D. B., Thayer, J. F., & Vedhara, K. (2021) · Annual Review of Psychology · doi:10.1146/annurev-psych-062520-122331 · Cited by 948
Self-citationLa Rovere, M. T., Pinna, G. D., Maestri, R., Mortara, A., Capomolla, S., Febo, O., Ferrari, R., Franchini, M., Gnemmi, M., Opasich, C., et al. (2003) · Circulation · doi:10.1161/01.cir.0000047275.25795.17 · Cited by 917
Heart rate variability biofeedback: how and why does it work?
Lehrer, P. M., & Gevirtz, R. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00756 · Cited by 883
Daily Sitting Time and All-Cause Mortality: A Meta-Analysis
Chau, J. Y., Grunseit, A. C., Chey, T., Stamatakis, E., Brown, W. J., Matthews, C. E., Bauman, A. E., & van der Ploeg, H. P. (2013) · PLoS ONE · doi:10.1371/journal.pone.0080000 · Cited by 876
NUNAN, D., SANDERCOCK, G. R. H., & BRODIE, D. A. (2010) · Pacing and Clinical Electrophysiology · doi:10.1111/j.1540-8159.2010.02841.x · Cited by 874
Cohort Profile: The Whitehall II study
Marmot, M. G., & Brunner, E. J. (2004) · International Journal of Epidemiology · doi:10.1093/ije/dyh372 · Cited by 790
Heart Rate Variability ? A Historical Perspective
Billman, G. E. (2011) · Frontiers in Physiology · doi:10.3389/fphys.2011.00086 · Cited by 786
Dickinson, H. O., Mason, J. M., Nicolson, D. J., Campbell, F., Beyer, F. R., Cook, J. V., Williams, B., & Ford, G. A. (2006) · Journal of Hypertension · doi:10.1097/01.hjh.0000199800.72563.26 · Cited by 759
Dekker, J. M., Schouten, E. G., Klootwijk, P., Pool, J., Swenne, C. A., & Kromhout, D. (1997) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a009049 · Cited by 519
Holzman, J. B., & Bridgett, D. J. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.12.032 · Cited by 449
Physical activity in the prevention and treatment of anxiety and depression.
Martinsen, E. W. (2008) · Nordic Journal of Psychiatry · doi:10.1080/08039480802315640 · Cited by 424
Burr, R. L. (2007) · SLEEP · doi:10.1093/sleep/30.7.913 · Cited by 358
Changing Physical Activity Behavior in Type 2 Diabetes
Avery, L., Flynn, D., van Wersch, A., Sniehotta, F. F., & Trenell, M. I. (2012) · Diabetes Care · doi:10.2337/dc11-2452 · Cited by 340
Zhang, D., Shen, X., & Qi, X. (2015) · Canadian Medical Association Journal · doi:10.1503/cmaj.150535 · Cited by 329
Liao, D., Carnethon, M. R., Evans, G. W., Cascio, W. E., & HEISS, G. M. (2002) · Diabetes · doi:10.2337/diabetes.51.12.3524 · Cited by 307
Fang, S.-C., Wu, Y.-L., & Tsai, P.-S. (2020) · Biological Research For Nursing · doi:10.1177/1099800419877442 · Cited by 302
A mathematical model of heart rate control by sympathetic and vagus efferent information
Warner, H. R., & Cox, A. R. (1962) · Journal of Applied Physiology · doi:10.1152/jappl.1962.17.2.349 · Cited by 290
Laborde, S., Allen, M. S., Borges, U., Dosseville, F., Hosang, T. J., Iskra, M., Mosley, E., Salvotti, C., Spolverato, L., Zammit, N., et al. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104711 · Cited by 272 · cited 1×
“…Reviews 143 (2022) 104907 measures of HRV such as physical activity (Tornberg et al., 2019), relaxation techniques (Lin et al., 2014), stress management (Balint et al., 2022a), healthy diet (Young and Benton, 2018) or slow-paced breathing (Laborde et al., 2022; Sevoz-Couche and Laborde, 2022).”
BackgroundPower-Law Relationship of Heart Rate Variability as a Predictor of Mortality in the Elderly
Huikuri, H. V., Mäkikallio, T. H., Airaksinen, J. K. E., Seppänen, T., Puukka, P. J., Räihä, I. J., & Sourander, L. (1998) · Circulation · doi:10.1161/01.cir.97.20.2031 · Cited by 271
Schneider, M., & Schwerdtfeger, A. (2020) · Psychological Medicine · doi:10.1017/s003329172000207x · Cited by 269
National Survey of Midlife Development in the United States (MIDUS II), 2004-2006
Ryff, C. D., Almeida, D. M., Ayanian, J. Z., Carr, D., Cleary, P. D., Coe, C. L., Davidson, R. J., Krueger, R. F., Lachman, M. E., Marks, N. F., et al. (2007) · ICPSR Data Holdings · doi:10.3886/icpsr04652 · Cited by 269
Self-citationLow Heart Rate Variability and the Effect of Depression on Post–Myocardial Infarction Mortality
Carney, R. M., Blumenthal, J. A., Freedland, K. E., Stein, P. K., Howells, W. B., Berkman, L. F., Watkins, L. L., Czajkowski, S. M., Hayano, J., Domitrovich, P. P., et al. (2005) · Archives of Internal Medicine · doi:10.1001/archinte.165.13.1486 · Cited by 259
Prediction of sudden cardiac death by fractal analysis of heart rate variability in elderly subjects
Mäkikallio, T. H., Huikuri, H. V., Mäkikallio, A., Sourander, L., Mitrani, R. D., Castellanos, A., & Myerburg, R. J. (2001) · Journal of the American College of Cardiology · doi:10.1016/s0735-1097(01)01171-8 · Cited by 250
Young, H. A., & Benton, D. (2018) · Behavioural Pharmacology · doi:10.1097/fbp.0000000000000383 · Cited by 249
Autonomic nervous system activity and workplace stressors—A systematic review
Jarczok, M. N., Jarczok, M., Mauss, D., Koenig, J., Li, J., Herr, R. M., & Thayer, J. F. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.07.004 · Cited by 247
Self-citationMeta‐analysis of alcohol and all‐cause mortality: a validation of NHMRC recommendations
Holman, C. D. J., English, D. R., Milne, E., & Winter, M. G. (1996) · The Medical Journal of Australia · doi:10.5694/j.1326-5377.1996.tb122011.x · Cited by 229
Physical Activity and Heart Rate Variability in Older Adults: The Cardiovascular Health Study
Soares-Miranda, L., Sattelmair, J., Chaves, P., Duncan, G. E., Siscovick, D. S., Stein, P. K., & Mozaffarian, D. (2014) · Circulation · doi:10.1161/circulationaha.113.005361 · Cited by 228
Wulsin, L. R., Horn, P. S., Perry, J. L., Massaro, J. M., & D’Agostino, R. B. (2015) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2015-1748 · Cited by 224
de Geus, E. J. C., Gianaros, P. J., Brindle, R. C., Jennings, J. R., & Berntson, G. G. (2019) · Psychophysiology · doi:10.1111/psyp.13287 · Cited by 219
Interaction between Heart Rate and Heart Rate Variability
Sacha, J. (2014) · Annals of Noninvasive Electrocardiology · doi:10.1111/anec.12148 · Cited by 218
Cardiovascular Events and Mortality in White Coat Hypertension
Cohen, J. B., Lotito, M. J., Trivedi, U. K., Denker, M. G., Cohen, D. L., & Townsend, R. R. (2019) · Annals of Internal Medicine · doi:10.7326/m19-0223 · Cited by 212
Chaos Theory, Heart Rate Variability, and Arrhythmic Mortality
Lombardi, F. (2000) · Circulation · doi:10.1161/01.cir.101.1.8 · Cited by 205
Kop, W. J., Stein, P. K., Tracy, R. P., Barzilay, J. I., Schulz, R., & Gottdiener, J. S. (2010) · Psychosomatic Medicine · doi:10.1097/psy.0b013e3181eadd2b · Cited by 196
Heart rate variability and slow-paced breathing:when coherence meets resonance
Sevoz-Couche, C., & Laborde, S. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104576 · Cited by 195
Heart rate variability in health and disease
Kristal-Boneh, E., Raifel, M., Froom, P., & Ribak, J. (1995) · Scandinavian Journal of Work Environment & Health · doi:10.5271/sjweh.15 · Cited by 190
Prevention and treatment of obesity with lifestyle interventions: review and meta-analysis
Galani, C., & Schneider, H. (2007) · Sozial- und Präventivmedizin · doi:10.1007/s00038-007-7015-8 · Cited by 185
Brosschot, J. F., Verkuil, B., & Thayer, J. F. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.07.019 · Cited by 178
Self-citationZhou, X., Ma, Z., Zhang, L., Zhou, S., Wang, J., Wang, B., & Fu, W. (2016) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2016.08.004 · Cited by 149
Lin, I. M., Tai, L. Y., & Fan, S. Y. (2014) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2013.12.006 · Cited by 145
Prognostic value of heart rate variability in patients with renal failure on hemodialysis
Oikawa, K., Ishihara, R., Maeda, T., Yamaguchi, K., Koike, A., Kawaguchi, H., Tabata, Y., Murotani, N., & Itoh, H. (2008) · International Journal of Cardiology · doi:10.1016/j.ijcard.2007.10.033 · Cited by 140
Jandackova, V. K., Britton, A. R., Malík, M., & Steptoe, A. (2016) · Psychological Medicine · doi:10.1017/s003329171600060x · Cited by 138
Heart rate variability in bipolar disorder: A systematic review and meta-analysis
Faurholt‐Jepsen, M., Kessing, L. V., & Munkholm, K. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.12.007 · Cited by 120
Prognostic Value of Masked Uncontrolled Hypertension
Pierdomenico, S. D., Pierdomenico, A. M., Coccina, F., Clement, D. L., Buyzere, M. D., Bacquer, D. D., Ben‐Dov, I. Z., Vongpatanasin, W., Banegas, J. R., Ruilope, L. M., et al. (2018) · Hypertension · doi:10.1161/hypertensionaha.118.11499 · Cited by 118
Heiss, S., Vaschillo, B., Vaschillo, E. G., Timko, C. A., & Hormes, J. M. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.12.004 · Cited by 118
The Paradox of Disease Prevention
Fineberg, H. V. (2013) · JAMA · doi:10.1001/jama.2013.7518 · Cited by 113
The joint association of fitness and fatness on cardiovascular disease mortality: a meta-analysis.
Barry, V. W., Caputo, J. L., & Kang, M. (2018) · Progress in Cardiovascular Diseases · doi:10.1016/j.pcad.2018.07.004 · Cited by 107
Stein, P. K., Barzilay, J. I., Chaves, P. H. M., MISTRETTA, S. Q., Domitrovich, P. P., Gottdiener, J. S., Rich, M. W., & Kleiger, R. E. (2008) · Journal of Cardiovascular Electrophysiology · doi:10.1111/j.1540-8167.2008.01232.x · Cited by 103
Stress and aging: A neurovisceral integration perspective
Thayer, J. F., Mather, M., & Koenig, J. (2021) · Psychophysiology · doi:10.1111/psyp.13804 · Cited by 97
Self-citationJarczok, M. N., Koenig, J., Wittling, A., Fischer, J. E., & Thayer, J. F. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8111940 · Cited by 84
Self-citationJarczok, M. N., Li, J., Mauss, D., Fischer, J. E., & Thayer, J. F. (2013) · International Journal of Cardiology · doi:10.1016/j.ijcard.2012.02.002 · Cited by 79
Self-citationWulsin, L. R., Herman, J. P., & Thayer, J. F. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.12.010 · Cited by 78
Self-citationJarczok, M. N., Koenig, J., Mauss, D., Fischer, J. E., & Thayer, J. F. (2014) · Journal of Internal Medicine · doi:10.1111/joim.12295 · Cited by 75
Self-citationDissection of long-range heart rate variability
Roach, D., Wilson, W., Ritchie, D., & Sheldon, R. (2004) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2004.01.050 · Cited by 74
Heart rate, heart rate variability and inflammatory biomarkers among young and healthy adults
Aeschbacher, S., Schoen, T., Dörig, L., Kreuzmann, R., Neuhauser, C., Schmidt-Trucksäss, A., Probst-Hensch, N. M., Risch, M., Risch, L., & Conen, D. (2017) · Annals of Medicine · doi:10.1080/07853890.2016.1226512 · Cited by 70
Kiviniemi, A. M., Tulppo, M. P., Wichterle, D., Hautala, A. J., Tiinanen, S., Seppänen, T., Mäkikallio, T. H., & Huikuri, H. V. (2007) · Annals of Medicine · doi:10.1080/07853890600990375 · Cited by 69
Sigrist, C., Mürner-Lavanchy, I. M., Peschel, S. K. V., Schmidt, S. J., Kaess, M., & Koenig, J. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.10.026 · Cited by 68
Henje, E., Olsson, E. M. G., Serlachius, E., Ericson, M. O., & Ingvar, M. (2009) · European Journal of Applied Physiology · doi:10.1007/s00421-009-1089-3 · Cited by 67
Decreased heart rate variability correlates to increased cardiovascular risk
Schuster, A. K.-G., Fischer, J. E., Thayer, J. F., Mauss, D., & Jarczok, M. N. (2015) · International Journal of Cardiology · doi:10.1016/j.ijcard.2015.11.027 · Cited by 67
Self-citationLeroux, A., Xu, S., Kundu, P., Muschelli, J., Smirnova, E., Chatterjee, N., & Crainiceanu, C. (2021) · The Journals of Gerontology: Series A · doi:10.1093/gerona/glaa250 · Cited by 66
Improvement of heart rate variability after exercise training and its predictors in COPD
Camillo, C. A., Laburú, V. D. M., Gonçalves, N. S., Cavalheri, V., Tomasi, F., Hernandes, N. A., Ramos, D., Vanderlei, L. C. M., Ramos, E. M. C., Probst, V. S., et al. (2011) · Respiratory Medicine · doi:10.1016/j.rmed.2011.01.014 · Cited by 64
Nishimura, M., Tokoro, T., Nishida, M., Hashimoto, T., Kobayashi, H., Yamazaki, S., Imai, R., Okino, K., Iwamoto, N., Takahashi, H., et al. (2009) · International Journal of Cardiology · doi:10.1016/j.ijcard.2008.12.104 · Cited by 61
LANZA, G., Cianflone, D., Rebuzzi, A. G., Angeloni, G., Sestito, A., Ciriello, G., Torre, G. L., Crea, F., & Maseri, A. (2005) · Heart · doi:10.1136/hrt.2005.070714 · Cited by 61
Cygankiewicz, I., Zareba, W., Vazquez, R., Bayes-Genis, A., Pascual, D., Macaya, C., Almendral, J., Fiol, M., Bardaji, A., Gonzalez-Juanatey, J. R., et al. (2009) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2008.11.061 · Cited by 58
Carnethon, M. R. (2002) · American Journal of Epidemiology · doi:10.1093/aje/155.1.48 · Cited by 58
Fox, A. (1980) · PubMed · Cited by 57
Autonomic dysfunction: a link between depression and cardiovascular mortality? The FINE Study
Kamphuis, M. H., Geerlings, M. I., Dekker, J. M., Giampaoli, S., Nissinen, A., Grobbee, D. E., & Kromhout, D. (2007) · European Journal of Cardiovascular Prevention & Rehabilitation · doi:10.1097/hjr.0b013e32829c7d0c · Cited by 55
Macfarlane, P. W., & Norrie, J. D. (2006) · Journal of Electrocardiology · doi:10.1016/j.jelectrocard.2006.05.003 · Cited by 51
Jarczok, M. N., Aguilar‐Raab, C., Koenig, J., Kaess, M., Borniger, J. C., Nelson, R. J., Hall, M. H., Ditzen, B., Thayer, J. F., & Fischer, J. E. (2018) · Chronobiology International · doi:10.1080/07420528.2018.1439499 · Cited by 42
Self-citationVigorous physical activity predicts higher heart rate variability among younger adults
May, R. L., McBerty, V., Zaky, A., & Gianotti, M. (2017) · Journal of PHYSIOLOGICAL ANTHROPOLOGY · doi:10.1186/s40101-017-0140-z · Cited by 40
Lakušić, N., Mahović, D., Sonicki, Z., Slivnjak, V., & Baborski, F. (2012) · International Journal of Cardiology · doi:10.1016/j.ijcard.2012.04.040 · Cited by 38
Which heart rate variability index is an independent predictor of mortality in cirrhosis?
Bhogal, A. S., Rui, M. D., Pavanello, D., El-Azizi, I., Rowshan, S., Amodio, P., Montagnese, S., & Mani, A. R. (2018) · Digestive and Liver Disease · doi:10.1016/j.dld.2018.09.011 · Cited by 37
Physical activity is associated with cardiac autonomic function in adolescent men
Tornberg, J., Ikäheimo, T. M., Kiviniemi, A. M., Pyky, R., Hautala, A. J., Mäntysaari, M., Jämsä, T. J., & Korpelainen, R. (2019) · PLoS ONE · doi:10.1371/journal.pone.0222121 · Cited by 37
Jarczok, M. N., Guendel, H. O., McGrath, J. J., & Balint, E. M. (2019) · IntechOpen eBooks · doi:10.5772/intechopen.86822 · Cited by 37
Self-citationHotta, N., Otsuka, K., Murakami, S., Yamanaka, G., Kubo, Y., Matsuoka, O., Yamanaka, T., Shinagawa, M., Nunoda, S., Nishimura, Y., et al. (2005) · Biomedicine & Pharmacotherapy · doi:10.1016/s0753-3322(05)80009-5 · Cited by 36
Singh, J. P., ROSENTHAL, L. S., Hranitzky, P. M., Berg, K. C., Mullin, C. M., Thackeray, L., & Kaplan, A. J. (2009) · EP Europace · doi:10.1093/europace/eup250 · Cited by 36
Temporally localized contributions to measures of large-scale heart rate variability
Roach, D., Sheldon, A., Wilson, W., & Sheldon, R. (1998) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.1998.274.5.h1465 · Cited by 36
Heart rate variability: From facts to fancies
Malík, M., & Camm, A. J. (1993) · Journal of the American College of Cardiology · doi:10.1016/0735-1097(93)90065-9 · Cited by 34
Gilliam, F. R., Singh, J. P., Mullin, C. M., McGuire, M., & Chase, K. J. (2007) · Journal of Electrocardiology · doi:10.1016/j.jelectrocard.2006.11.012 · Cited by 32
Cygankiewicz, I., Corino, V., Vázquez, R., Bayés‐Genís, A., Mainardi, L. T., Zaręba, W., Bayés‐Genís, A., & Platonov, P. G. (2015) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2015.06.043 · Cited by 30
Hayano, J., Mukai, S., Fukuta, H., Sakata, S., Ohte, N., & Kimura, G. (2001) · CHEST Journal · doi:10.1378/chest.120.6.1942 · Cited by 29
B-type natriuretic peptide trumps other prognostic markers in patients assessed for coronary disease
Study, O. B. O. T. A. R. M. I. C. A. D. (.-C., Kotecha, D., Flather, M. D., Atar, D., Collins, P. D., Pepper, J., Jenkins, E., Reid, C. M., & Eccleston, D. S. (2019) · BMC Medicine · doi:10.1186/s12916-019-1306-9 · Cited by 24
Lau, K., Malik, A., Foroutan, F., Buchan, T. A., Daza, J. F., Sekercioglu, N., Orchanian‐Cheff, A., & Alba, A. C. (2020) · Journal of Cardiac Failure · doi:10.1016/j.cardfail.2020.11.003 · Cited by 24
Heart rate variability predicts outcome of short‐term psychotherapy at the workplace
Balint, E. M., Daniele, V., Langgartner, D., Reber, S. O., Rothermund, E., Gündel, H., von Wietersheim, J., Buckley, T. A., & Jarczok, M. N. (2022) · Psychophysiology · doi:10.1111/psyp.14150 · Cited by 22
Self-citationBădărau, S., Siriopol, D. C., Druguș, D., Dumea, R., Hogas, S. M., Blaj, M., Voroneanu, L. E., Grămăticu, A., Petriş, A. O., Burlacu, A., et al. (2015) · International Urology and Nephrology · doi:10.1007/s11255-015-1063-4 · Cited by 21
Shibasaki, K., Ogawa, S., Yamada, S., Iijima, K., Eto, M., Kozaki, K., Toba, K., Akishita, M., & Ouchi, Y. (2013) · Geriatrics and gerontology international/Geriatrics & gerontology international · doi:10.1111/ggi.12074 · Cited by 19
Ablonskytė-Dūdonienė, R., Bakšytė, G., Čeponienė, I., Kriščiukaitis, A., Drėgūnas, K., & Ereminienė, E. (2012) · Medicina · doi:10.3390/medicina48070052 · Cited by 18
Usefulness of measurement of heart rate variability by holter ECG in hemodialysis patients
Kida, N., Tsubakihara, Y., Kida, H., Ageta, S., Arai, M., Hamada, Y., & Matsuura∥, N. (2017) · BMC Nephrology · doi:10.1186/s12882-016-0423-3 · Cited by 17
Chronobiology - The Science of Biological Time Structure
Švorc, P. (2019) · IntechOpen eBooks · doi:10.5772/intechopen.73428 · Cited by 17
Work Stress and Autonomic Nervous System Activity
Jarczok, M. N., Jarczok, M., & Thayer, J. F. (2020) · Springer eBooks · doi:10.1007/978-3-030-05031-3_27-1 · Cited by 16
Self-citationSteeds, R. P., Fletcher, J., Smith, M. L., West, J. M., Channer, K. S., & Townend, J. (2004) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2004.07.111 · Cited by 15
May, O., & Arildsen, H. (2012) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2012.03.004 · Cited by 15
Markers of autonomic tone on a standard ECG are predictive of mortality in old age
van Bemmel, T., Vinkers, D. J., Macfarlane, P. W., Gussekloo, J., & Westendorp, R. G. J. (2005) · International Journal of Cardiology · doi:10.1016/j.ijcard.2005.02.031 · Cited by 14
Balint, E. M., Angerer, P., Guendel, H. O., Marten‐Mittag, B., & Jarczok, M. N. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19073841 · Cited by 13
Self-citationJarczok, M. N., Buckley, T. A., Guendel, H. O., Boeckelmann, I., Mauss, D., Thayer, J. F., & Balint, E. M. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.600865 · Cited by 12
Self-citationQuintana, M., Lindvall, K., Brolund, F., Storek, N., Lindblad, L. E., & Rydén, L. (1997) · Coronary Artery Disease · doi:10.1097/00019501-199706000-00001 · Cited by 8
Medenwald, D., Swenne, C. A., Frantz, S., Nuding, S., Kors, J. A., Pietzner, D., Tiller, D., Greiser, K. H., Kluttig, A., & Haerting, J. (2017) · EP Europace · doi:10.1093/europace/euw296 · Cited by 8
Research works printed but not linked: 1
- Ryff, Carol D., Almeida, David M., Ayanian, John Z., Carr, Deborah S., Cleary, Paul D., Coe, Christopher, … Williams, David R, 2021. Midlife in the United States (MIDUS 2), 2004-2006. Inter-university Consortium for Political and Social Research [distributor], 2021-09-15. https://doi.org/10.3886/ICPSR04652.v8. · DOI
Cited by
Sorted by citations
Stress and cardiovascular disease: an update
Vaccarino, V., & Bremner, J. (2024) · Nature Reviews Cardiology · doi:10.1038/s41569-024-01024-y · Cited by 229
Exercise benefits in cardiovascular diseases: From mechanisms to clinical implementation
Valenzuela, P. L., Ruilope, L. M., Santos-Lozano, A., Wilhelm, M., Kränkel, N., Fiuza-Luces, C., & Lucia, A. (2023) · European Heart Journal · doi:10.1093/eurheartj/ehad170 · Cited by 237
Lee, H., Yang, H.-L., Ryu, H. G., Jung, C.-W., Cho, Y. J., Yoon, H., Yoon, H.-K., & Lee, H. (2023) · npj Digital Medicine · doi:10.1038/s41746-023-00960-2 · Cited by 73
Biomarkers of aging: from molecules and surrogates to physiology and function
Furrer, R., & Handschin, C. (2025) · Physiological Reviews · doi:10.1152/physrev.00045.2024 · Cited by 68
El-Malahi, O., Mohajeri, D., Mincu, R. I., Bäuerle, A., Rothenaicher, K., Knuschke, R., Rammos, C., Rassaf, T., & Lortz, J. (2024) · PLoS ONE · doi:10.1371/journal.pone.0299793 · Cited by 69
Metadata
- Authors
- Jarczok, M. N., Weimer, K., Braun, C., Williams, D. P., Thayer, J. F., Gündel, H. O., & Balint, E. M.
- Affiliations
- Universität Ulm (DE)
- University of California, Irvine (US)
- Corresponding author
- Jarczok, Marc N.
- ORCID
- Venue
- Neuroscience & Biobehavioral Reviews
- Publisher
- Elsevier BV
- Published
- 2022-12
- Volume
- 143
- Pages
- 104907
- ISSN
- 0149-7634 (ISSN-L)
- OpenAlex
- W4304943826
- Cited by
- 246
- References
- 114
- Citations by year
- 2026: 74 · 2025: 71 · 2024: 76 · 2023: 23 · 2022: 1
- FWCI
- 8.70
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (am, 521 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Neuroscience & Biobehavioral Reviews (acceptedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (R01AG013196, R01HL36310)
- U.S. Department of Health and Human Services
- National Institute on Aging (5-PO1-AG20166-04)
- Medical Research Council (G0902037, MR/K013351/1)
- British Heart Foundation (RG/13/2/30098)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Health and Mental Health
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac electrophysiology and arrhythmias
- Keywords
- heart rate variability, mortality prediction, all-cause mortality, cardiac mortality, RMSSD, heart rate correction, risk prediction, healthy population, individual patient data
- MeSH terms
- Heart, Heart Rate, Humans, Proportional Hazards Models
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review