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Depression, Comorbid Anxiety Disorders, and Heart Rate Variability in Physically Healthy, Unmedicated Patients: Implications for Cardiovascular Risk
Open accessAbstract
CONTEXT: There is evidence that heart rate variability (HRV) is reduced in major depressive disorder (MDD), although there is debate about whether this effect is caused by medication or the disorder per se. MDD is associated with a two to fourfold increase in the risk of cardiac mortality, and HRV is a robust predictor of cardiac mortality; determining a direct link between HRV and not only MDD, but common comorbid anxiety disorders, will point to psychiatric indicators for cardiovascular risk reduction. OBJECTIVE: To determine in physically healthy, unmedicated patients whether (1) HRV is reduced in MDD relative to controls, and (2) HRV reductions are driven by MDD alone, comorbid generalized anxiety disorder (GAD, characterized by anxious anticipation), or comorbid panic and posttraumatic stress disorders (PD/PTSD, characterized by anxious arousal). DESIGN, SETTING, AND PATIENTS: A case-control study in 2006 and 2007 on 73 MDD patients, including 24 without anxiety comorbidity, 24 with GAD, and 14 with PD/PTSD. Seventy-three MDD and 94 healthy age- and sex-matched control participants were recruited from the general community. Participants had no history of drug addiction, alcoholism, brain injury, loss of consciousness, stroke, neurological disorder, or serious medical conditions. There were no significant differences between the four groups in age, gender, BMI, or alcohol use. MAIN OUTCOME MEASURES: HRV was calculated from electrocardiography under a standardized short-term resting state condition. RESULTS: HRV was reduced in MDD relative to controls, an effect associated with a medium effect size. MDD participants with comorbid generalized anxiety disorder displayed the greatest reductions in HRV relative to controls, an effect associated with a large effect size. CONCLUSIONS: Unmedicated, physically healthy MDD patients with and without comorbid anxiety had reduced HRV. Those with comorbid GAD showed the greatest reductions. Implications for cardiovascular risk reduction strategies in otherwise healthy patients with psychiatric illness are discussed.
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Cites
Kessler, R. C., Chiu, W. T., Demler, O., & Walters, E. E. (2005) · Archives of General Psychiatry · doi:10.1001/archpsyc.62.6.617 · Cited by 12,052
Antony, M. M., Bieling, P. J., Cox, B. J., Enns, M. W., & Swinson, R. P. (1998) · Psychological Assessment · doi:10.1037/1040-3590.10.2.176 · Cited by 4,874
A 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
Heart rate variability: A review
Rajendra Acharya, U., Paul Joseph, K., Kannathal, N., Lim, C. M., & Suri, J. S. (2006) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-006-0119-0 · Cited by 2,820
Thayer, J. F., Hansen, A. L., Saus-Rose, E., & Johnsen, B. H. (2009) · Annals of Behavioral Medicine · doi:10.1007/s12160-009-9101-z · Cited by 1,872
Kemp, A. H., Quintana, D. S., Gray, M. A., Felmingham, K. L., Brown, K., & Gatt, J. M. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.12.012 · Cited by 1,286
Self-citationAutonomic characteristics of generalized anxiety disorder and worry
Thayer, J. F., Friedman, B. H., & Borkovec, T. D. (1996) · Biological Psychiatry · doi:10.1016/0006-3223(95)00136-0 · Cited by 857 · cited 2×
“The current study provides an important extension to prior work [10,20], indicating that comorbid anxiety is associated with the greatest reductions in HRV and that patients”
BackgroundAttentional bias in generalized anxiety disorder versus depressive disorder.
Mogg, K., & Bradley, B. P. (2005) · Cognitive Therapy and Research · doi:10.1007/s10608-005-1646-y · Cited by 565
Licht, C. M. M., de Geus, E. J. C., Zitman, F. G., Hoogendijk, W. J. G., van Dyck, R., & Penninx, B. W. J. H. (2008) · Archives of General Psychiatry · doi:10.1001/archpsyc.65.12.1358 · Cited by 379
Cardiac vagal control in depression: A critical analysis
Rottenberg, J. (2007) · Biological Psychology · doi:10.1016/j.biopsycho.2005.08.010 · Cited by 376
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Chalmers, J. A., Quintana, D. S., Abbott, M. J.-A., & Kemp, A. H. (2014) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2014.00080 · Cited by 1,067
Self-citationHeart rate variability as a transdiagnostic biomarker of psychopathology
Beauchaine, T. P., & Thayer, J. F. (2015) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2015.08.004 · Cited by 870
The hierarchical basis of neurovisceral integration
Smith, R., Thayer, J. F., Khalsa, S. S., & Lane, R. D. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.02.003 · Cited by 523
Kemp, A. H., & Quintana, D. S. (2013) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2013.06.018 · Cited by 538
Self-citationAlvares, G. A., Quintana, D. S., Hickie, I. B., & Guastella, A. J. (2016) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.140217 · Cited by 503
Self-citationQuintana, D. S., Alvares, G. A., & Heathers, J. A. J. (2016) · Translational Psychiatry · doi:10.1038/tp.2016.73 · Cited by 420
Self-citationQuintana, D. S., Guastella, A. J., Outhred, T., Hickie, I. B., & Kemp, A. H. (2012) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2012.08.012 · Cited by 367
Self-citationProbiotics and the microbiota-gut-brain axis: Focus on psychiatry
Mörkl, S., Butler, M. I., Holl, A., Cryan, J. F., & Dinan, T. G. (2020) · Current Nutrition Reports · doi:10.1007/s13668-020-00313-5 · Cited by 337
Krygier, J. R., Heathers, J. A. J., Shahrestani, S., Abbott, M., Gross, J. J., & Kemp, A. H. (2013) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2013.06.017 · Cited by 327
Self-citationSingh, M. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00925 · Cited by 337
Kaiser, T., Herzog, P., Voderholzer, U., & Brakemeier, E. (2021) · Depression and Anxiety · doi:10.1002/da.23136 · Cited by 296
“Patients with both MDD and GAD diagnoses also show lower heart rate variability compared to patients with only one diagnosis (Kemp et al., 2012) which was explained by chronically high levels of anxious apprehension leading to a chronic withdrawal of the parasympathetic nervous system.”
BackgroundKoenig, J., Kemp, A. H., Beauchaine, T. P., Thayer, J. F., & Kaess, M. (2016) · Clinical Psychology Review · doi:10.1016/j.cpr.2016.04.013 · Cited by 285
Self-citationTully, P. J., Cosh, S. M., & Baumeister, H. (2014) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2014.10.001 · Cited by 201
Kemp, A. H., Brunoni, A. R., Santos, I. S., Nunes, M. A., Dantas, E. M., Carvalho de Figueiredo, R., Pereira, A. C., Ribeiro, A. L. P., Mill, J. G., Andreão, R. V., et al. (2014) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2014.13121605 · Cited by 189
Self-citationInflexibility as a Vulnerability to Depression: A Systematic Qualitative Review
Stange, J. P., Alloy, L. B., & Fresco, D. M. (2017) · Clinical Psychology: Science and Practice · doi:10.1111/cpsp.12201 · Cited by 179
A meta-analysis on heart rate variability biofeedback and depressive symptoms
Pizzoli, S. F. M., Marzorati, C., Gatti, D., Monzani, D., Mazzocco, K., & Pravettoni, G. (2021) · Scientific Reports · doi:10.1038/s41598-021-86149-7 · Cited by 170
Clamor, A., Lincoln, T. M., Thayer, J. F., & Koenig, J. (2016) · British Journal of Psychiatry · doi:10.1192/bjp.bp.114.160762 · Cited by 167
Kemp, A. H., Quintana, D. S., Kuhnert, R.-L., Griffiths, K., Hickie, I. B., & Guastella, A. J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0044014 · Cited by 158
Self-citationAlvares, G. A., Quintana, D. S., Kemp, A. H., Van Zwieten, A., Balleine, B. W., Hickie, I. B., & Guastella, A. J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0070468 · Cited by 154
Self-citationBeauchaine, T. P., Bell, Z., Knapton, E., McDonough‐Caplan, H., Shader, T., & Zisner, A. (2019) · Psychophysiology · doi:10.1111/psyp.13329 · Cited by 144
Savitz, J. B., Price, J. L., & Drevets, W. C. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.02.008 · Cited by 145
Resting state vagal tone in borderline personality disorder: A meta-analysis
Koenig, J., Kemp, A. H., Feeling, N. R., Thayer, J. F., & Kaess, M. (2016) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2015.07.002 · Cited by 145
Self-citationFocusing neurovisceral integration: Cognition, heart rate variability, and cerebral blood flow
Jennings, J. R., Allen, B., Gianaros, P. J., Thayer, J. F., & Manuck, S. B. (2015) · Psychophysiology · doi:10.1111/psyp.12319 · Cited by 134
Kemp, A. H., Koenig, J., & Thayer, J. F. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.09.006 · Cited by 114
Chalmers, J. A., Heathers, J. A. J., Abbott, M. J., Kemp, A. H., & Quintana, D. S. (2016) · BMC Psychology · doi:10.1186/s40359-016-0138-z · Cited by 102
Self-citationAzam, M. A., Katz, J., Fashler, S. R., Changoor, T., Azargive, S., & Ritvo, P. (2015) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2015.06.005 · Cited by 78
Is cardiac function impaired in premotor Parkinson's disease? A retrospective cohort study
Palma, J., Carmona‐Abellan, M., Barriobero, N., Trevino-Peinado, C., Garcia‐Lopez, M., Fernandez‐Jarne, E., & Luquin, M. R. (2013) · Movement Disorders · doi:10.1002/mds.25431 · Cited by 77
Llera, S. J., & Newman, M. G. (2017) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2017.04.008 · Cited by 74
Breathwork Interventions for Adults with Clinically Diagnosed Anxiety Disorders: A Scoping Review
Banushi, B., Brendle, M., Ragnhildstveit, A., Murphy, T., Moore, C., Egberts, J., & Robison, R. (2023) · Brain Sciences · doi:10.3390/brainsci13020256 · Cited by 58
A biological perspective on differences and similarities between burnout and depression
Orosz, A., Federspiel, A., Haisch, S., Seeher, C., Dierks, T., & Cattapan, K. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.12.005 · Cited by 55
Understanding the physiology of mindfulness: Aortic hemodynamics and heart rate variability
May, R. W., Bamber, M., Seibert, G. S., Sanchez-Gonzalez, M. A., Leonard, J. T., Salsbury, R. A., & Fincham, F. D. (2016) · Stress · doi:10.3109/10253890.2016.1146669 · Cited by 49
Mitochondria could be a potential key mediator linking the intestinal microbiota to depression
Chen, J., & Vitetta, L. (2020) · Journal of Cellular Biochemistry · doi:10.1002/jcb.29311 · Cited by 36
Impaired resting vagal tone in patients with functional movement disorders
Maurer, C. W., Liu, V. D., LaFaver, K., Ameli, R., Wu, T., Toledo, R., Epstein, S. A., & Hallett, M. (2016) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2016.06.009 · Cited by 38
Krause-Utz, A., Walther, J.-C., Lis, S., Schmahl, C., & Bohus, M. (2019) · Psychological Medicine · doi:10.1017/s0033291718002489 · Cited by 38
Simor, P., Körmendi, J., Horváth, K., Gombos, F., Ujma, P. P., & Bódizs, R. (2014) · Brain and Cognition · doi:10.1016/j.bandc.2014.08.004 · Cited by 36
Carnevali, L., Vacondio, F., Rossi, S., Callegari, S., Macchi, E., Spadoni, G., Bedini, A., Rivara, S., Mor, M., & Sgoifo, A. (2015) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2015.07.015 · Cited by 34
Heart Rate Variability for the Prediction of Treatment Response in Major Depressive Disorder
Choi, K. W., & Jeon, H. J. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.00607 · Cited by 32
Siddi, S., Bailon, R., Giné-Vázquez, I., Matcham, F., Lamers, F., Kontaxis, S., Laporta, E., Garcia, E., Lombardini, F., Annas, P., et al. (2023) · Psychological Medicine · doi:10.1017/s0033291723001034 · Cited by 31
Steffen, P. R., Austin, T., & DeBarros, A. (2017) · Policy Insights from the Behavioral and Brain Sciences · doi:10.1177/2372732216685333 · Cited by 15
Metadata
- Authors
- Kemp, A. H., Quintana, D. S., Felmingham, K. L., Matthews, S., & Jelinek, H. F.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2012-02-15
- Volume
- 7
- Issue
- 2
- Pages
- e30777
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2127912154
- Cited by
- 447
- References
- 11
- FWCI
- 18.22
- Type
- journal article
- Language
- en
- Open access
- gold
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