Skip to main content
Log in

Stress load of emergency service: effects on the CAR and HRV of HEMS emergency physicians on different working days (N = 20)

  • Original Article
  • Published:
International Archives of Occupational and Environmental Health Aims and scope Submit manuscript

Abstract

Purpose

The occupation of the emergency physicians (EPs) of helicopter emergency medical services (HEMS) can be characterized as a high-strain occupation (Karasek in Adm Sci Q 24(2):285–308. https://doi.org/10.2307/2392498, 1979). Therefore, the aim of this study was to measure and compare the stress load of the EPs of HEMS on duty on air ambulance workdays and on 2 control days.

Methods

In this field study (within-subjects design), hormonal, physiological, and self-perceived stress levels of 20 EPs [3 females, 17 males; mean age (M) = 44.95 years, SD = 4.80, 95% confidence interval (CI) (42.71, 47.19)] of HEMS, were recorded on different test days. Measurements of the cortisol awakening response (CAR) and the heart rate variability (HRV) were performed while on duty on the air ambulance and during workdays at the outpatient clinic as well as at home on days of rest.

Results

There were significant differences in the CAR (area under the curve with respect to ground F(2,38) = 12.81, p < 0.001) between the 3 test days with the highest values on the workday at the outpatient clinic [M = 81.24; 98.75% CI (61.24, 101.24)] and not on the air ambulance day [M = 61.82; 98.75% CI (45.18, 78.46)] or on the day of rest [M = 52.96; 98.75% CI (38.17, 67.76)]. In addition, the HRV parameter SDNN [F(2,38) = 6.369; p = 0.004] presented significant differences between the 3 test days with lower levels on the day at the outpatient clinic [M = 101.44; 98.75% CI (83.50, 119.38)] in contrast to the air ambulance day [M = 120.16; 98.75% CI (100.02, 140.30)] and to the resting day [M = 123.79; 98.75% CI (106.49, 141.10)]. Furthermore, there were significant differences in the HRV parameter LF/HF [F(2,38) = 6.215; p = 0.005] between the 3 testing days with the highest values on the workday at the outpatient clinic [M = 8.69; 98.75% CI (6.29, 11.09)] compared to the air ambulance day [M = 6.54; 98.75% CI (4.50, 8.57)] and the day of rest [M = 6.43; 98.75% CI (4.57, 8.29)].

Conclusions

Compared with the standard values and previous studies, EPs of HEMS have an increase in hormonal reactivity in the morning and a lack of recovery of the ANS. It can be concluded that—with respect to the psychobiological stress model by McEwen and Lasley (The end of stress as we know it, National Academic Press, Washington, 2003)—work-related stressors persist too long or the stress response is exaggerated (allostatic load) due to chronic stress induction and lack of recovery.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Abbreviations

ANS:

Autonomic nervous system

AUC:

Area under the curve

AUCG :

Area under the curve with respect to ground

AUCI :

Area under the curve with respect to increase

CAR:

Cortisol awakening response

EPs:

Emergency physicians

ESC:

The European Society of Cardiology

HEMS:

Helicopter emergency medical services

HF:

Power in high-frequency range 0.15–0.4 Hz

Hf:

Heart frequency

HRV:

Heart rate variability

HPA-axis:

Hypothalamic–pituitary–adrenal-axis

LF:

Power in low-frequency range 0.04–0.15 Hz

LIA:

Luminescence immunoassay

M:

Mean value

NASPE:

The North American Society of Pacing and Electrophysiology

ISPNE:

International Society of Psycho-neuroendocrinology

PASA:

Primary appraisal secondary appraisal

RMSSD:

Root-mean-square successive differences

SDNN:

Standard deviation of all NN intervals

TICS:

Trier Inventory of Chronic Stress

References

  • Adams S, Roxe D, Weiss J, Zhang F, Rosenthal J (1998) Ambulatory blood pressure and Holter monitoring of emergency physicians before, during, and after a night shift. Acad Emerg Med 5(9):871–877

    Article  CAS  Google Scholar 

  • Badura B, Ducki A, Schröder H, Klose J, Meyer M (2012) Fehlzeiten-Report 2012. Gesundheit in der flexiblen Arbeitswelt: Chancen nutzen Risiken minimieren. Springer, Berlin

    Book  Google Scholar 

  • Baig A, Siddiqui I, Naqvi H, Sabir S, Jabbar J, Shahid M (2011) Correlation of serum cortisol levels and stress among medical doctors working in emergency departments. J Coll Physicians Surg Pak 16(9):576–580

    Google Scholar 

  • Benzer A, Niebergall H, Posch G, Flora G (1991) Notfallmedizin Herzfrequenzverhalten von Notärzten beim Einsatz im Notarzthubschrauber. Anästhesiologie Intensivmedizin Notfallmedizin Schmerztherapie 26(5):276–279

    Article  CAS  Google Scholar 

  • Billman GE (2013) The LF/HF ratio does not accurately measure cardiac sympatho-vagal balance. Front Physiol 4:1–5. https://doi.org/10.3389/fphys.2013.00026

    Article  Google Scholar 

  • Carchietti E, Valent F, Cecchi A, Rammer R (2011) Influence of stressors on HEMS crewmembers in flight. Air Med J 30(5):270–275. https://doi.org/10.1016/j.amj.2011.02.002

    Article  Google Scholar 

  • Cygankiewicz I, Zareba W (2013) Heart rate variability. Handb Clin Neurol 117:379–393. https://doi.org/10.1016/B978-0-444-53491-0.00031-6

    Article  Google Scholar 

  • Dutheil F, Boudet G, Perrier C, Lac G, Ouchchane L, Chamoux A, Duclos M, Schmidt J (2012) JOBSTRESS study: comparison of heart rate variability in emergency physicians working a 24-hour shift or a 14-hour night shift—a randomized trial. Int J Cardiol 158(2):322–325. https://doi.org/10.1016/j.ijcard.2012.04.141

    Article  Google Scholar 

  • Dutheil F, Trousselard M, Perrier C, Lac G, Chamoux A, Duclos M, Naughton G, Mnatzaganian G, Schmidt J (2013) Urinary interleukin-8 is a biomarker of stress in emergency physicians, especially with advancing age—the JOBSTRESS* randomized trial. PLoS One 8(8):6–12. https://doi.org/10.1371/journal.pone.0071658

    Article  CAS  Google Scholar 

  • Fekedulegn DB, Andrew ME, Burchfiel CM, Violanti JM, Hartley TA, Charles LE, Miller DB (2007) Area under the curve and other summary indicators of repeated waking cortisol measurements. Psychosom Med 69(7):651–659. https://doi.org/10.1097/PSY.0b013e31814c405c

    Article  CAS  Google Scholar 

  • Föhr T, Tolvanen A, Myllymäki T, Järvelä-Reijonen E, Rantala S, Korpela R, Peuhkuri K, Kolehmainen M, Puttonen S, Lappalainen R, Rusko H, Kujala UM (2015) Subjective stress, objective heart rate variability-based stress, and recovery on workdays among overweight and psychologically distressed individuals: a cross-sectional study. J Occup Med Toxicol 10(1):1–9. https://doi.org/10.1186/s12995-015-0081-6

    Article  Google Scholar 

  • Franke GH (2000) SCL-90-R. Beltz Test, Göttingen

    Google Scholar 

  • Gaab J (2009) PASA–primary appraisal secondary appraisal. Verhaltenstherapie 19(2):114–115. https://doi.org/10.1159/000223610

    Article  Google Scholar 

  • Ice GH (2005) Factors influencing cortisol level and slope among community dwelling older adults in Minnesota. J Cross Cult Gerontol 20(2):91–108. https://doi.org/10.1007/s10823-005-9085-5

    Article  Google Scholar 

  • Inslicht SS, Otte C, McCaslin SE, Apfel BA, Henn-Haase C, Metzler T, Yehuda R, Neylan TC, Marmar CR (2011) Cortisol awakening response prospectively predicts peritraumatic and acute stress reactions in police officers. Biol Psychiatry 70(11):1055–1062. https://doi.org/10.1016/j.biopsych.2011.06.030

    Article  CAS  Google Scholar 

  • Jarczok MN, Jarczok M, Mauss D, Koenig J, Li J, Herr RM, Thayer JF (2013) Autonomic nervous system activity and workplace stressors—a systematic review. Neurosci Biobehav Rev 37(8):1810–1823. https://doi.org/10.1016/j.neubiorev.2013.07.004

    Article  Google Scholar 

  • Karasek RA (1979) Job demands, job decision latitude, and mental strain: implications for job redesign. Adm Sci Q 24(2):285–308. https://doi.org/10.2307/2392498

    Article  Google Scholar 

  • Kuehl LK, Hinkelmann K, Muhtz C, Dettenborn L, Wingenfeld K, Spitzer C, Kirschbaum C, Wiedemann K, Otte C (2015) Hair cortisol and cortisol awakening response are associated with criteria of the metabolic syndrome in opposite directions. Psychoneuroendocrinology 51: 365–370. https://doi.org/10.1016/j.psyneuen.2014.09.012

    Article  CAS  Google Scholar 

  • Lohmann-Haislah A (2012) Stressreport Deutschland 2012—Psychische Anforderungen, Ressourcen und Befinden. Bundesanstalt für Arbeitsschutz und Arbeitsmedizin, Dortmund

    Google Scholar 

  • Machi MS, Staum M, Callaway CW, Moore C, Jeong K, Suyama J, Patterson PD, Hostler D (2012) The relationship between shift work, sleep, and cognition in career emergency physicians. Acad Emerg Med 19(1):85–91. https://doi.org/10.1111/j.1553-2712.2011.01254.x

    Article  Google Scholar 

  • McEwen B, Lasley EL (2003) The end of stress as we know it. National Academic Press, Washington

    Google Scholar 

  • McFarlane AC, Van Hooff M, Goodhew F (2009) Anxiety disorders and PTSD. In: Neria Y, Galea S, Norris F (eds) Mental health and disasters. Cambridge University Press, New York, pp 47–66

    Chapter  Google Scholar 

  • Mück-Weymann M (2011) Herzratenvariabilität (HRV) als Forschungstool für die Praxis. In: Anderssen-Reuster U (ed) Achtsamkeit in Psychotherapie und Psychosomatik, 2nd edn. Schattauer, Stuttgart, pp 303–305

    Google Scholar 

  • Nikolic-Popovic J, Goubran R (2013) Impact of motion artifacts on heart rate variability measurements and classification performance. In: 2013 IEEE international symposium on medical measurements and applications (MeMeA), pp 156–159, https://doi.org/10.1109/MeMeA.2013.6549726

  • Pajonk FGB, Cransac P, Müller V, Teichmann A, Meyer W (2012) Trauma and stress-related disorders in german emergency physicians: the predictive role of personality factors. Int J Emerg Ment Health 14(4):257–268

    Google Scholar 

  • Petrowski K, Paul S, Albani C, Brähler E (2012) Factor structure and psychometric properties of the trier inventory for chronic stress (TICS) in a representative German sample. BMC Med Res Methodol 12(1):42. https://doi.org/10.1186/1471-2288-12-42

    Article  Google Scholar 

  • Powell DJ, Schlotz W (2012) Daily life stress and the cortisol awakening response: testing the anticipation hypothesis. PLoS One 7(12):1–10. https://doi.org/10.1371/journal.pone.0052067

    Article  CAS  Google Scholar 

  • Pruessner JC, Kirschbaum C, Meinlschmid G, Hellhammer DH (2003) Two formulas for computation of the area under the curve represent measures of total hormone concentration versus time-dependent change. Psychoneuroendocrinology 28(7):916–931. https://doi.org/10.1016/S0306-4530(02)00108-7

    Article  CAS  Google Scholar 

  • Samel A, Vejvoda M, Maass H (2004) Sleep deficit and stress hormones in helicopter pilots on 7-day duty for emergency medical services. Aviat Space Environ Med 75(11):935–940

    CAS  Google Scholar 

  • Schulz P, Schlotz W, Becker P (2004) Trierer Inventar zum chronischen Stress (TICS). Hogrefe, Göttingen

    Google Scholar 

  • Selye H (1983) The stress concept: past, present, and future. In: Cooper CL (ed) Stress research issues for the eighties. Wiley, New York, pp 1–20

    Google Scholar 

  • Stalder T, Kirschbaum C, Kudielka BM, Adam EK, Pruessner JC, Wüst S, Dockray S, Smyth N, Evans P, Hellhammer DH, Miller R, Wetherell MA, Lupien SJ, Clow A (2016) Assessment of the cortisol awakening response: expert consensus guidelines. Psychoneuroendocrinology 63:414–432. https://doi.org/10.1016/j.psyneuen.2015.10.010

    Article  CAS  Google Scholar 

  • Task Force of The European Society of Cardiology and The North American Society of Pacing and Electrophysiology (1996) Heart rate variability. Standards of measurement, physiological interpretation, and clinical use. Eur Heart J 17:354–381. https://doi.org/10.1161/01.CIR.93.5.1043

    Article  Google Scholar 

  • Tonello L, Rodrigues FB, Souza JWS, Campbell CSG, Leicht AS, Boullosa DA (2014) The role of physical activity and heart rate variability for the control of work related stress. Front Physiol 5(67):1–9. https://doi.org/10.3389/fphys.2014.00067

    Article  Google Scholar 

  • WHO (2001) The World Health Report 2001. Mental health: new understanding, new hope. WHO, Geneva

    Google Scholar 

  • Wüst S, Wolf J, Hellhammer DH, Federenko I, Schommer NC, Kirschbaum C (2000) The cortisol awakening response—normal values and confounds. Noise Health 2(7):79–88

    Google Scholar 

Download references

Funding

This study was funded by the Roland Ernst Foundation Project “Identification of stressors due to organizational structures in airborne and ground-based emergency service”.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Katja Petrowski.

Ethics declarations

Ethical approval

The study protocol was approved by the local Ethics Committee of the Medical Faculty of the Technical University of Dresden, Germany (No#EK348092011).

Informed consent

All participants signed the informed consent.

Conflict of interest

The authors have no conflict of interest to disclose.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOCX 18 KB)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Petrowski, K., Herhaus, B., Schöniger, C. et al. Stress load of emergency service: effects on the CAR and HRV of HEMS emergency physicians on different working days (N = 20). Int Arch Occup Environ Health 92, 155–164 (2019). https://doi.org/10.1007/s00420-018-1362-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00420-018-1362-z

Keywords

Navigation