The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Effects of Work Stress on Ambulatory Blood Pressure, Heart Rate, and Heart Rate Variability
Open accessAbstract
Abstract —Work stress has repeatedly been associated with an increased risk for cardiovascular disease. This study tested whether this relationship could be explained by exaggerated cardiovascular reactivity to work or impaired recovery in leisure time. Vagal tone was assessed as a possible determinant of these work stress effects. Participants included 109 male white-collar workers (age, 47.2±5.3) who were monitored on 2 workdays and 1 nonworkday for ambulatory blood pressure, heart rate, and heart rate variability. Chronic work stress was defined according to Siegrist’s model as (1) high imbalance, a combination of high effort and low reward at work, or (2) high overcommitment, an exhaustive work-related coping style indexing the inability to unwind. All findings were adjusted for possible differences in posture and physical activity between the work stress groups. High imbalance was associated with a higher heart rate during work and directly after work, a higher systolic blood pressure during work and leisure time, and a lower 24-hour vagal tone on all 3 measurement days. Overcommitment was not associated with an unfavorable ambulatory profile. Logistic regression analysis revealed that heart rate [odds ratio 1-SD increase 1.95 (95% CI, 1.02 to 3.77)] and vagal tone [odds ratio 1-SD decrease 2.67 (95% CI, 1.24 to 5.75)] were independently associated with incident mild hypertension. Surprisingly, the values during sleep were more predictive for mild hypertension than the values during work. The results from the present study suggest that the detrimental effects of work stress are partly mediated by increased heart rate reactivity to a stressful workday, an increase in systolic blood pressure level, and lower vagal tone.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
Impact of Reduced Heart Rate Variability on Risk for Cardiac Events: The Framingham Heart Study
Tsuji, H., Larson, M. G., Venditti, F. J., Manders, E. S., Evans, J. C., Feldman, C. L., & Levy, D. (1996) · Circulation · doi:10.1161/01.cir.94.11.2850 · Cited by 1,762
PORGES, S. W. (1995) · Psychophysiology · doi:10.1111/j.1469-8986.1995.tb01213.x · Cited by 1,624
Everson, S. A., Lynch, J. W., Chesney, M. A., Kaplan, G. A., Goldberg, D. E., Shade, S. B., Cohen, R. D., Salonen, R., & Salonen, J. T. (1997) · BMJ · doi:10.1136/bmj.314.7080.553 · Cited by 232
Cited by
Stress and Heart Rate Variability: A Meta-Analysis and Review of the Literature
Kim, H.-G., Cheon, E.-J., Bai, D.-S., Lee, Y. H., & Koo, B.-H. (2018) · Psychiatry Investigation · doi:10.30773/pi.2017.08.17 · Cited by 2,308
Thayer, J. F., Yamamoto, S. S., & Brosschot, J. F. (2010) · International Journal of Cardiology · doi:10.1016/j.ijcard.2009.09.543 · Cited by 2,276
Sonnentag, S., & Fritz, C. (2007) · Journal of Occupational Health Psychology · doi:10.1037/1076-8998.12.3.204 · Cited by 2,133
Work stress and coronary heart disease: what are the mechanisms?
Chandola, T., Britton, A., Brunner, E., Hemingway, H., Malik, M., Kumari, M., Badrick, E., Kivimaki, M., & Marmot, M. (2008) · European Heart Journal · doi:10.1093/eurheartj/ehm584 · Cited by 673
Stress Recognition Using Wearable Sensors and Mobile Phones
Sano, A., & Picard, R. W. (2013) · 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction · doi:10.1109/acii.2013.117 · Cited by 523
Brosschot, J. F., Van Dijk, E., & Thayer, J. F. (2007) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2006.07.016 · Cited by 474
Activity-Aware Mental Stress Detection Using Physiological Sensors
Sun, F.-T., Kuo, C., Cheng, H.-T., Buthpitiya, S., Collins, P., & Griss, M. (2012) · Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-642-29336-8_12 · Cited by 292
Taylor, A. G., Goehler, L. E., Galper, D. I., Innes, K. E., & Bourguignon, C. (2010) · EXPLORE · doi:10.1016/j.explore.2009.10.004 · Cited by 287
Cheema, B. S., Houridis, A., Busch, L., Raschke-Cheema, V., Melville, G. W., Marshall, P. W., Chang, D., Machliss, B., Lonsdale, C., Bowman, J., et al. (2013) · BMC Complementary and Alternative Medicine · doi:10.1186/1472-6882-13-82 · Cited by 281
Development and Evaluation of an Ambulatory Stress Monitor Based on Wearable Sensors
Choi, J., Ahmed, B., & Gutierrez-Osuna, R. (2012) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2011.2169804 · Cited by 221
Nolan, R. P., Kamath, M. V., Floras, J. S., Stanley, J., Pang, C., Picton, P., & Young, Q. R. (2005) · American Heart Journal · doi:10.1016/j.ahj.2005.03.015 · Cited by 219
Job strain and rumination about work issues during leisure time: A diary study
Cropley, M., & Millward Purvis, L. (2003) · European Journal of Work and Organizational Psychology · doi:10.1080/13594320344000093 · Cited by 203
Cardiac effects of momentary assessed worry episodes and stressful events.
Pieper, S., Brosschot, J. F., van der Leeden, R., & Thayer, J. F. (2007) · Psychosomatic Medicine · doi:10.1097/psy.0b013e31815a9230 · Cited by 182
Email Duration, Batching and Self-interruption: Patterns of Email Use on Productivity and Stress
Mark, G., Iqbal, S. T., Czerwinski, M., Johns, P., Sano, A., & Lutchyn, Y. (2016) · Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems · doi:10.1145/2858036.2858262 · Cited by 160
A Flexible and Wearable Human Stress Monitoring Patch
Yoon, S., Sim, J. K., & Cho, Y.-H. (2016) · Scientific Reports · doi:10.1038/srep23468 · Cited by 151
Amutio, A., Martínez-Taboada, C., Hermosilla, D., & Delgado, L. C. (2015) · Psychology, Health & Medicine · doi:10.1080/13548506.2014.986143 · Cited by 130
Psychological and Physiological Markers of Stress in Concussed Athletes Across Recovery Milestones
Hutchison, M. G., Mainwaring, L., Senthinathan, A., Churchill, N., Thomas, S., & Richards, D. (2017) · Journal of Head Trauma Rehabilitation · doi:10.1097/htr.0000000000000252 · Cited by 106
Relationships among heart rate variability, hypertension, and relaxation techniques
Terathongkum, S., & Pickler, R. H. (2004) · Journal of Vascular Nursing · doi:10.1016/j.jvn.2004.06.003 · Cited by 103
Dunne, P. J., Lynch, J., Prihodova, L., O'Leary, C., Ghoreyshi, A., Basdeo, S. A., Cox, D. J., Breen, R., Sheikhi, A., Carroll, Á., et al. (2019) · Journal of Integrative Medicine · doi:10.1016/j.joim.2019.03.009 · Cited by 81
Momeni, J., Omidi, A., Raygan, F., & Akbari, H. (2016) · Journal of the American Society of Hypertension · doi:10.1016/j.jash.2016.07.007 · Cited by 71
Surgeons' and surgical trainees' acute stress in real operations or simulation: A systematic review
Georgiou, K., Larentzakis, A., & Papavassiliou, A. G. (2017) · The Surgeon · doi:10.1016/j.surge.2017.06.003 · Cited by 69
Amutio, A., Martínez-Taboada, C., Delgado, L. C., Hermosilla, D., & Mozaz, M. J. (2015) · Journal of Continuing Education in the Health Professions · doi:10.1097/ceh.0000000000000002 · Cited by 63
Cardiorespiratory optimization during improvised singing and toning
Bernardi, N. F., Snow, S., Peretz, I., Orozco Perez, H. D., Sabet-Kassouf, N., & Lehmann, A. (2017) · Scientific Reports · doi:10.1038/s41598-017-07171-2 · Cited by 52
Cumulative stress and autonomic dysregulation in a community sample
Lampert, R., Tuit, K., Hong, K.-I., Donovan, T., Lee, F., & Sinha, R. (2016) · Stress · doi:10.1080/10253890.2016.1174847 · Cited by 51
Yook, Y.-S. (2019) · PLOS ONE · doi:10.1371/journal.pone.0226739 · Cited by 51
Cardiorespiratory dynamic response to mental stress: a multivariate time-frequency analysis
Widjaja, D., Orini, M., Vlemincx, E., & Van Huffel, S. (2013) · Computational and Mathematical Methods in Medicine · doi:10.1155/2013/451857 · Cited by 49
Borchini, R., Ferrario, M. M., Bertù, L., Veronesi, G., Bonzini, M., Dorso, M., & Cesana, G. (2014) · International Journal of Occupational Medicine and Environmental Health · doi:10.2478/s13382-014-0289-1 · Cited by 44
Negative urgency moderates reactivity to laboratory stress inductions.
Owens, M. M., Amlung, M. T., Stojek, M., & MacKillop, J. (2018) · Journal of Abnormal Psychology · doi:10.1037/abn0000350 · Cited by 29
Kuehl, L. K., Deuter, C. E., Richter, S., Schulz, A., Rüddel, H., & Schächinger, H. (2015) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2014.12.003 · Cited by 23
Mesolimbic dopamine release precedes actively sought aversive stimuli in mice
Yawata, Y., Shikano, Y., Ogasawara, J., Makino, K., Kashima, T., Ihara, K., Yoshimoto, A., Morikawa, S., Yagishita, S., Tanaka, K. F., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-38130-3 · Cited by 24
Wang, H., Ding, Y., Dai, Y., Fan, Z., Wen, S., Wang, X., Yuan, J., Wu, Y., & Yu, L. (2025) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2025.152591 · Cited by 15
Susceptibility to peer influence in adolescents: Associations between psychophysiology and behavior
Meehan, Z. M., Hubbard, J. A., Moore, C. C., & Mlawer, F. (2024) · Development and Psychopathology · doi:10.1017/s0954579422000967 · Cited by 12
Breaking the Flow: A Study of Interruptions During Software Engineering Activities
Ma, Y., Huang, Y., & Leach, K. (2024) · Proceedings of the IEEE/ACM 46th International Conference on Software Engineering · doi:10.1145/3597503.3639079 · Cited by 12
Physical and Psychological Impact of Surgery on the Operating Surgeon
Amirthanayagam, A., O'Neill, S., Goss, C., & Moss, E. L. (2024) · International Journal of Gynecological Cancer · doi:10.1136/ijgc-2023-004594 · Cited by 12
Metadata
- Authors
- Vrijkotte, T. G. M., van Doornen, L. J. P., & de Geus, E. J. C.
- Venue
- Hypertension
- Published
- 2000-04
- Volume
- 35
- Issue
- 4
- Pages
- 880-886
- ISSN
- 0194-911X (ISSN-L)
- 1524-4563
- OpenAlex
- W2122338287
- Cited by
- 755
- References
- 4
- FWCI
- 7.29
- Type
- journal article
- Language
- en
- Open access
- bronze
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.