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ORIGINAL RESEARCH article

Front. Endocrinol., 18 July 2017
Sec. Neuroendocrine Science

High Glucocorticoid Response to 24-h-Shift Stressors in Male but Not in Female Physicians

\r\nClaudia Boettcher*Claudia Boettcher1*Michaela F. HartmannMichaela F. Hartmann2Klaus-Peter ZimmerKlaus-Peter Zimmer1Stefan A. Wudy,\r\nStefan A. Wudy1,2
  • 1Division of Paediatric Endocrinology and Diabetology, Centre of Child and Adolescent Medicine, Justus Liebig University Giessen, Giessen, Germany
  • 2Steroid Research and Mass Spectrometry Unit, Centre of Child and Adolescent Medicine, Justus Liebig University Giessen, Giessen, Germany

Physicians’ daily work is accompanied by emotional and physical stress, and 24-h shifts are considered to be a major stressor. Effects of stressors on the hypothalamic–pituitary–adrenal (HPA) axis can be evaluated by estimating the glucocorticoid excretion in urine samples. We characterized the impact of a 24-h working period on the urinary glucocorticoid excretion of physicians and focused on gender differences. 10 females and 12 male physicians collected 24-h urine samples during a 24-h shift (“on-duty”) and on a free weekend (“off-duty”) that were analyzed by gas chromatography–mass spectrometry. Urinary glucocorticoid excretion rates (GERs) were assessed by addition of the 24-h excretion rates per square meter body surface area for the seven major urinary cortisol and cortisone metabolites. Women showed generally lower glucorticoid excretion rates compared to men. Only male physicians had increased GERs on duty compared to off duty. As a measure of change between being on duty and off duty, the ratio GERs on duty/GERs off duty was significantly higher in males than in females. Thus, the 24-h shift stress factor generates diverging results between female and male subjects with activation of the HPA axis primarily in male physicians.

Introduction

Physicians working in either hospitals or private practice are exposed to manifold stress factors, both physically and psychologically. Numerous examples are found in the literature stating a “stressed” condition of medical doctors worldwide (14). Possible effects of the doctoral stressor exposure are anxiety, sleep disturbances, depression, and burnout (58), culminating in a higher likelihood of suicide (9, 10) and—not to forget—of endangering patients (11, 12). Alongside many other factors, being “on call” and long working hours are especially recognized as burdening stressor elements (1315).

The two main physiological systems that generally mediate the response to stressors are the—fast-reacting—sympathetic nervous system and the hypothalamic–pituitary–adrenal (HPA) axis, which reacts through release of glucocorticoids. Considering that particularly abnormalities in HPA function have been described inter alia in chronic inflammatory disorders, depression, and posttraumatic stress disorder (1618), the integrity of the HPA axis appears to be most important for psychological, physiological, and physical health functioning.

Differences between men and woman regarding the reaction to stress seem possible and probable, e.g., studies in the setting of psychophysiological laboratories using the “Trier Social Stress Test” observed sex differences in response to this psychological stressor in salivary cortisol concentrations (19, 20) so called “stress-related” diseases occur mainly in one gender (2124).

To assess the activation of the HPA axis, we have an elegant method available, namely urinary steroid metabolomics: with gas chromatography–mass spectrometry (GC–MS), excreted steroid metabolites in 24-h urine samples can be quantified in order to estimate the integrated output of steroid production (25, 26). As the sum of all urinary F (cortisol) metabolites reflects the 24-h-production rate of cortisol (27), this method is a useful tool to describe the glucocorticoid response to a prolonged stressor.

In the present study, we aimed to characterize the impact of a 24-h working period on the urinary glucocorticoid excretion of physicians and to investigate possible gender differences in response to this defined stressor.

Materials and Methods

Participants

Participants were recruited from the University Children’s Hospital Giessen. Eligible for our study were fulltime working physicians of all ages, healthy enough to participate in weekday 24-h shifts (regular working day from 8:00 a.m. to 5:00 p.m. in combination with night duty starting at 5:00 p.m., ending 8:00 a.m. the following morning). Collected demographic data included age, sex, height, weight, years of experience in pediatrics, and number of own children. The variables age and years of experience were categorized as ≤30 and >30 years of age and <5 and ≥5 years, respectively. In order to exclude physicians taking any medication with glucocorticoid effect, current medication was recorded. All participants gave written consent and the study was approved by the local ethics committee of the Justus Liebig University Giessen (no. 277/11).

Urine Sample Collection

The participating physicians collected 24-h urine samples twice: once during a weekday 24-h shift (“on duty”) at the Children’s Hospital Giessen from 8:00 a.m. to 8:00 a.m. the following morning and again on a free and relaxing Sunday (“off duty”) at home, also from 8:00 a.m. to 8:00 a.m. The probands were instructed to catch their urine completely and each time they visited the toilet during the two 24-h periods. Additionally, they were requested to start the periods with an empty bladder, and to go to the toilet for a last catch at the very end of the 24 h. If a participant missed to collect one or more portions, he/she was asked to repeat the whole procedure during the next time he or she was “on” or “off duty.” In order to judge on the completeness of the collection, urinary creatinine was measured in the samples “on” as well as “off” duty. All samples were stored within a 1-h window after completion of collection at −20°C and thawed immediately before analysis.

During the urine sampling period “on duty,” hours of sleep (to the nearest 0.5 h), categorized as <4 and ≥4 h, and number of sleep disturbances, categorized as <3 and ≥3 interruptions were recorded.

Urinary Steroid Hormone Analysis

Urinary steroid profiles were determined using GC–MS analysis according to the method described previously (26, 28, 29). In brief, free and conjugated urinary steroids were extracted by solid-phase extraction (Sep-Pak C18 cartridge; Waters Associates, Milford, MA, USA) out of an aliquot of 10 ml urine. The conjugated steroids were enzymatically hydrolyzed (type H-1 powdered Helix pomatia enzyme; Sigma Chemical Co., St. Louis, MO, USA) and recovered by Sep-Pak extraction. Known amounts of three internal standards (5α-androstane-3α,17α-diol, stigmasterol, and cholesteryl butyrate) were added to a portion of each extract before formation of methyloxime-trimethylsilyl ethers. Gas chromatography was performed using an Optima-1-fused silica column with helium as the carrier gas at a flow rate of 1 ml/min. Initial oven temperature was 80°C, held for 2 min; the temperature was then increased by 20°C/min to 190°C (1 min) and then increased by 2.5°C/min to 272°C. The gas chromatograph (Agilent 6890 Series GC; Agilent 7683 Series automatic liquid sampler; Agilent Technologies, Santa Clara, CA, USA) was directly interfaced to a mass selective detector (Agilent 5973N mass selective detector) operated in the selected ion monitoring mode.

To assess overall glucocorticoid excretion, the 24-h excretion rates for cortisol and its major metabolites tetrahydrocortisone, tetrahydrocortisol, 5α-tetrahydrocortisol, α-cortolone, β-cortolone, α-cortol, and β-cortol were added together and normalized to body surface area (BSA).

The ratio of glucocorticoid excretion rate (GER) off duty to GER on duty served as a robust artifice to compare changes between being on duty and off duty.

Statistical Analysis

Descriptive analysis included calculation of mean and SD as well as median and range for continuous variables. Differences between males and females regarding age, years of experience, and BSA were tested by the unpaired t-test with Welch’s-correction. For comparison of the GERs, the paired and unpaired t-test (in case of normal distribution according to D’Agostino & Pearson omnibus normality test), or the Wilcoxon matched pairs signed rank test and the Wilcoxon–Mann–Whitney test were used. A p-value <0.05 was considered to indicate statistical significance. All statistical analyses were performed with GraphPad PRISM 6.02 (GraphPad Software, Inc., La Jolla, CA, USA).

Results

Description of Study Cohort

22 physicians of the Children’s Hospital Giessen agreed to participate in our study. Table 1 gives an overview of the population’s characteristics. BSA levels were in the normal range for all participants. Two male physicians had one, three other male colleagues two own children, whereas the remaining seven male and all the female probands were childless. All but one of the female doctors used oral or vaginal (NuvaRing®) contraception. Other medications used were levothyroxine (two females), bisoprolol (one male), cetirizine dihydrochloride (one male), and insulin (one male). The group of male doctors was slightly but significantly older and more experienced compared to the group of female physicians.

TABLE 1
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Table 1. Clinical characteristics of the population.

Urinary GERs

According to the non-significantly differing urinary creatinine values between “on” (mean 102.9 mg/dl ± 54.2 SD) and “off” duty (mean 80.0 mg/dl ± 42.6 SD), which were all within normal range, completeness of urine collection was demonstrated.

The GERs off duty in our cohort corresponded excellently with published references (30, 31).

Exemplarily, Figure 1 shows merged extracted ion chromatograms of a physician on duty.

FIGURE 1
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Figure 1. Merged extracted ion chromatograms for the glucocorticoids measured in the urine of a male proband on duty: m/z (mass to charge ratio) 578.4 tetrahydrocortisone (THE); m/z 652.4 tetrahydrocortisol (THF) and 5α-tetrahydrocortisol (5α-THF); m/z 449.3 α-cortolone (α-Cl) and β-cortolone (β-Cl); m/z 523.4 α-cortol (α-C) and β-cortol (β-C); and m/z 605.4 cortisol (F).

Considered as a whole, the group of physicians showed a marked GER rise in urine collected during a 24-h shift in comparison to a free weekend (p < 0.01) (Figure 2). Neither sorting the physicians by age (≤30 versus >30 years of age) nor by years of experience in pediatrics (<5 versus ≥5 years) resulted in significant differences for the GER on duty. The same was true for the stratification by number of sleep disturbances (<3 versus ≥3 interruptions) and by hours of sleep (<4 versus ≥4 h).

FIGURE 2
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Figure 2. Glucocorticoid excretion rates [μg/24 h/m2 body surface area (BSA)] in all physicans, on and off duty; horizontal bars indicate mean and SD; *p < 0.01.

The GER separated by gender, on and off duty, are presented in Figures 3A,B. Female physicians had generally lower GER than male physicians, regardless of being on or off duty (p < 0.001 and p < 0.01, respectively). The group of male physicians presented with higher GER on duty than off duty (p < 0.001). No such effect could be detected in the female group. The number of sleep disturbances or hours of sleep differed not significantly between males and females. Regarding the ratio GER on duty/GER off duty, a significantly higher ratio could be seen in males than in females (p < 0.05) (Figure 4).

FIGURE 3
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Figure 3. (A,B) Glucocorticoid excretion rates [μg/24 h/m2 body surface area (BSA)] in males (A) and females (B), on and off duty; horizontal bars indicate mean and SD; **p < 0.001.

FIGURE 4
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Figure 4. Ratio GER on duty/off duty in males and females; horizontal bars indicate mean and SD; *p < 0.05.

Discussion

Many of the current studies concentrating on “stress research” with assessment of the HPA axis have employed salivary cortisol as a biomarker, taking advantage of its non-invasiveness and simplicity in sampling (32). In the salivary gland, cortisol is metabolized to cortisone by the action of 11β-hydroxysteroid dehydrogenase type 2, and cortisone is partly responsible for the variable interference observed in salivary cortisol immunoassays (33). Less frequent study-tools are 24-h urinary (free) cortisol or serum parameters whereas studies using urinary steroid metabolomics are rare. Therefore, despite limiting the comparability of our results by using GC–MS urinary steroid profiling, there are several advantages in favor of our method: the urine collection is non-invasive and independent of fixed time points for sampling (except for onset and end of the 24-h collection period), and hence practicable during 24-h shifts in a hospital. With this approach, we were able to obtain sample material covering the entire period of stressor exposure on duty; not only cortisol but all urinary glucocorticoid metabolites are analyzed and quantified by GC–MS, allowing the calculation of GER.

As psychological and physical stressors are capable of activating the HPA axis, two types of stressors are commonly used in the assessment of stressor-responsiveness: psychological tasks (e.g., delivering a public speech) or physiological tests (e.g., cold pressures test) (34, 35). In our study, the “stressor” (24-h shift) was a natural combination under “field conditions” with variable shares of both stressor types, therefore reflecting real-life conditions instead of laboratory settings.

It is well known—proven by urinary cortisol excretion measurements (26, 3638) as well as stable-isotope tracer infusions (39)—that a general sexual dimorphism exists with higher cortisol excretion rates in men than in women. Our results with constantly lower GER in female physicians compared to male physicians confirm this knowledge. In contrast, four studies of one working group measuring salivary cortisol responses to psychosocial stress could not detect considerable pre-stressor gender differences in healthy subjects [summarized by Kirschbaum et al. (19)]. Methodological issues (salivary versus urinary samples, “snapshot” versus comprehensiveness of 24-h sampling) might explain those differences.

Considered in their entirety, our physicians showed marked adrenocortical activation in response to the 24-h stressor. However, this effect seems mainly owed the male participants, as—when divided into groups sorted by gender—only the male but not the female group of physicians showed significantly higher GER on duty compared to off duty. In a small group of solely male physicians, Vierhapper and Nowotny (40) saw comparable “male” results: eight internal medicine residents excreted considerably more urinary glucocorticoid metabolites during their work time (24-h shift) than on weekends. But concerning gender differences in response to various stressors, the results are inconsistent: in reaction to defined acute psychosocial stressors, women seem to show less ACTH and cortisol responses than men (41); responses to physical stressors appear not to differ between men and woman (4244); and in a “real life” study of Marchand et al. (45), salivary cortisol levels increased linearly from non-working day to work day in a random sample of day-shift employees, with no significant gender differences.

What could explain that our female group did not react with a higher GER on duty than off duty like the male group did? The first explanation for this phenomenon would be that the women with children and running a family are equally stressed on a weekend than during a weekday 24-h shift. As none of the female physicians had children at the time of participating in our study whereas five of the male physicians lived with children, this discussion point can be ruled out. In a second step, we would consider hormonal influences as part of the menstrual cycle: different phases (follicular phase versus luteal phase) are known to be modulators of the cortisol stress response (41); but all but one of our female subjects of research used hormonal contraception, “equalizing” the women and making an effect of menstrual cycle phases unlikely. Hormonal contraception itself attenuates responses to stressors in terms of lowering (salivary) cortisol levels (46, 47). But this known effect cannot explain the women’s stressor response pattern in our study since it is an intraindividual comparison. Another argument could be that for the women “work replaced home as a haven”: in a recent study Damaske et al. (48) investigated the proposal that work may be less stressful than home. They revealed that salivary cortisol levels of employees—moderated by income and children at home—can indeed be even lower at work (not shift work) than at home. However, these carefully collected data applied not only to women but also to men.

One could assume that variable hours of sleep deprivation might contribute to an increase in the GER on duty. In fact, several recent studies applying up to 40 h of sleep deprivation showed increased levels of serum cortisol after the intervention (49, 50); however, Tobaldini et al. (51) failed to detect a significant difference in serum cortisol levels of 15 healthy residents (mixed group, 10 males and 5 females) before and after one night on call. In our study, when assigned to two respective groups (<3/≥3 sleep interruptions; <4/≥4 h of sleep), there was no significant difference in the GER on duty detectable.

The age of our male participants was higher than the female physicians’, and the males were more experienced in pediatrics. Therefore, we cannot deny the possibility that this might have contributed to the gender differences seen in the stress–response of our study: a study involving subjects up to 88 years of age suggested an effect of older age on salivary cortisol (52); a detailed review by Kudielka et al. (53) provided a controversial discussion of a possible age effect on cortisol stressor-responses, also pointing out a potential effect in elderly men—again based upon measurements in saliva. The age-range (27–41 years of age) of our physicians, however, was markedly narrower than in the study of Seemann et al. (52) mentioned above, and excluded the elder age. Regarding work experience, Dyrbye et al. (7) saw—with the instrument of questionnaires—in a large sample of physicians (men and women) from all specialty disciplines that compared to other career stages, the “middle career period” (11–20 years of practice) is a particularly challenging time in terms of burnout and satisfaction. With a median of 4.0 (range 0.5–13.0) years of experience, most of our study physicians stay clearly under this period.

In summary, our study has shown that the stressor 24-h shift is able to activate the HPA axis mainly in male, but not in female physicians, detectable by urinary steroid profiling. The further interpretation of our data and consecutively the implications remain speculative at the present moment: the findings could point to a certain female “stress resistance” regarding long shift work, or otherwise to a blunted physiological response toward this stressor. The “male” reaction with high glucocorticoid excretion on duty could cause long-term health problems like hypertension and coronary artery calcification (54, 55) or even result in a shorter lifespan in males (56).

Ethics Statement

This study was carried out in accordance with the recommendations of the ethics committee of the Justus Liebig University Giessen with written informed consent from all subjects. All subjects gave written informed consent in accordance with the Declaration of Helsinki. The protocol was approved by the ethics committee of the Justus Liebig University Giessen (no. 277/11).

Author Contributions

CB and SW substantially contributed to the conception and design of the work, CB drafted the work. CB, MH, and K-PZ are responsible for acquisition, analysis, and interpretation of the data. MH, SW, and K-PZ revised the work critically for important intellectual content. CB, MH, SW, and K-PZ gave final approval of the version to be published and agree to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity or any part of the work are appropriately investigated and resolved.

Conflict of Interest Statement

The authors declare that this article was written in the absence of commercial or financial relationships that could be interpreted as possible conflicts of interest.

Acknowledgments

The authors thank Adrian C. Sewell, Ph.D., Ingelheim am Rhein, Germany, for proof-reading the manuscript.

References

1. Devi S. Doctors in distress. Lancet (2011) 377:454–5. doi:10.1016/S0140-6736(11)60145-1

CrossRef Full Text | Google Scholar

2. Wallace JE, Lemaire JB, Ghali WA. Physician wellness: a missing quality indicator. Lancet (2009) 374:1714–21. doi:10.1016/S0140-6736(09)61424-0

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Siegrist J, Shackelton R, Link C, Marceau L, von dem Knesebeck O, McKinlay J. Work stress of primary care physicians in the US, UK and German health care systems. Soc Sci Med (2010) 71:298–304. doi:10.1016/j.socscimed.2010.03.043

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Buddeberg-Fischer B, Klaghofer R, Stamm M, Siegrist J, Buddeberg C. Work stress and reduced health in young physicians: prospective evidence from Swiss residents. Int Arch Occup Environ Health (2008) 82:31–8. doi:10.1007/s00420-008-0303-7

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Tyssen R, Vaglum P, Grønvold NT, Ekeberg Ø. The impact of job stress and working conditions on mental health problems among junior house officers. A nationwide Norwegian prospective cohort study. Med Educ (2000) 34:374–84. doi:10.1046/j.1365-2923.2000.00540.x

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Tomioka K, Morita N, Saeki K, Okamoto N, Kurumatani N. Working hours, occupational stress and depression among physicians. Occup Med (2011) 61:163–70. doi:10.1093/occmed/kqr004

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Dyrbye LN, Varkey P, Boone SL, Satele DV, Sloan JA, Shanafelt TD. Physician satisfaction and burnout at different career stages. Mayo Clin Proc (2013) 88:1358–67. doi:10.1016/j.mayocp.2013.07.016

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Sigsbee B, Bernat JL. Physician burnout: a neurologic crisis. Neurology (2014) 83:2302–6. doi:10.1212/WNL.0000000000001077

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Schernhammer ES, Colditz GH. Suicide rates among physicians: a quantitative and gender assessment (meta-analysis). Am J Psychiatry (2004) 161:2295–302. doi:10.1176/appi.ajp.161.12.2295

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Shanafelt TD, Balch CM, Dyrbye L, Bechamps G, Russell T, Satele D, et al. Suicidal ideation among American surgeons. Arch Surg (2011) 146:54–62. doi:10.1001/archsurg.2010.292

CrossRef Full Text | Google Scholar

11. Fahrenkopf AM, Sectish TC, Barger LK, Sharek PJ, Lewin D, Chiang VW, et al. Rates of medication errors among depressed and burnt out residents: prospective cohort study. Br Med J (2008) 336:488–91. doi:10.1136/bmj.39469.763218.BE

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Arora S, Sevdalis N, Aggarwal R, Sirimanna P, Darzi A, Kneebone R. Stress impairs psychomotor performance in novice laparoscopic surgeons. Surg Endosc (2010) 24:2588–93. doi:10.1007/s00464-010-1013-2

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Wada K, Yoshikawa T, Goto T, Hirai A, Matsushima E, Nakashima Y, et al. National survey of the association of depressive symptoms with the number of off duty and on call, and sleep hours among physicians working in Japanese hospitals: a cross sectional study. BMC Public Health (2010) 10:127. doi:10.1186/1471-2458-10-127

CrossRef Full Text | Google Scholar

14. Heponiemi T, Puttonen S, Elovainio M. On-call work and physicians’ well-being: testing the potential mediators. Occup Med (2014) 64:352–7. doi:10.1093/occmed/kqu036

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Lindfors PM, Nurmi KE, Mertoja OA, Luukkonen RA, Viljanen AM, Leino TJ, et al. On-call stress among Finnish anaesthetists. Anaesthesia (2006) 61:856–66. doi:10.1111/j.1365-2044.2006.04749.x

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Straub RH, Bijlsma JW, Masi A, Cutolo M. Role of neuroendocrine and neuroimmune mechanisms in chronic inflammatory rheumatic diseases—the 10-year update. Semin Arthritis Rheumatol (2013) 43:392–404. doi:10.1016/j.semarthrit.2013.04.008

CrossRef Full Text | Google Scholar

17. Vreeburg SA, Hoogendijk WJ, van Pelt J, DeRijk RH, Verhagen JC, van Dych R, et al. Major depressive disorder and hypothalamic-pituitary-adrenal axis activity. Arch Gen Psychiatry (2009) 66:617–26. doi:10.1001/archgenpsychiatry.2009.50

CrossRef Full Text | Google Scholar

18. Wingenfeld K, Whooley MA, Neylan TC, Otte C, Cohen BE. Effect of current and lifetime posttraumatic stress disorder on 24-h urinary catecholamines and cortisol: results from the Mind Your Heart Study. Psychoneuroendocrinology (2015) 52:83–91. doi:10.1016/j.psyneuen.2014.10.023

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Kirschbaum C, Wüst S, Hellhammer D. Consistent sex differences in cortisol response to physiological stress. Psychosom Med (1992) 54:648–57. doi:10.1097/00006842-199211000-00004

CrossRef Full Text | Google Scholar

20. Kudielka BM, Kirschbaum C. Sex differences in HPA axis responses to stress: a review. Biol Psychol (2005) 69:113–32. doi:10.1016/j.biopsycho.2004.11.009

CrossRef Full Text | Google Scholar

21. Grigoriadis G, Robinson GE. Gender issues in depression. Ann Clin Psychiatry (2007) 19:247–55. doi:10.1080/10401230701653294

PubMed Abstract | CrossRef Full Text | Google Scholar

22. McLean CP, Anderson ER. Brave men and timid women? A review of the gender differences in fear and anxiety. Clin Psychol Rev (2009) 29:496–505. doi:10.1016/j.cpr.2009.05.003

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Fernández-Guasti A, Fiedler JL, Herrera L, Handa RJ. Sex, stress, and mood disorders: at the intersection of adrenal and gonadal hormones. Horm Metab Res (2012) 44:607–18. doi:10.1055/s-0032-1312592

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Weich S, Sloggett A, Lewis G. Social roles and the gender difference in rates of the common mental disorders in Britain: a 7-year, population-based cohort study. Psychol Med (2001) 31:1055–64. doi:10.1017/S0033291701004263

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Wudy SA, Hartmann MF. Mass spectrometry in the diagnosis of steroid-related disorders: clinical applications. In: Ranke MB, Mullis PE, editors. Diagnostics of Endocrine Function in Children and Adolescents. Basel: Karger (2011). p. 379–401.

Google Scholar

26. Wudy SA, Hartmann MF, Remer T. Sexual dimorphism in cortisol secretion starts after age 10 in healthy children: urinary cortisol metabolite excretion rates during growth. Am J Physiol Endocrinol Metab (2007) 293:E970–6. doi:10.1152/ajpendo.00495.2006

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Remer T, Maser-Gluth C, Wudy SA. Glucocorticoid measurements in health and disease – metabolic implications and the potential of 24-h urine analysis. Mini Rev Med Chem (2008) 8:153–70. doi:10.2174/138955708783498096

CrossRef Full Text | Google Scholar

28. Shackleton CH. Mass spectrometry in the diagnosis of steroid-related disorders and in hypertension research. J Steroid Biochem Mol Biol (1993) 45:127–40. doi:10.1016/0960-0760(93)90132-G

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Remer T, Boye KR, Hartmann MF, Wudy SA. Urinary markers of adrenarche: reference values in healthy subjects, aged 3–18 years. J Clin Endocrinol Metab (2005) 90:2015–21. doi:10.1210/jc.2004-1571

CrossRef Full Text | Google Scholar

30. Tomlinson JW, Sherlock M, Hughes B, Hughes SV, Kilvington F, Bartlett W, et al. Inhibition of 11betahydroxysteroid dehydrogenase type 1 activity in vivo limits glucocorticoid exposure to human adipose tissue and decreases lipolysis. J Clin Endocrinol Metab (2007) 92:857–64. doi:10.1210/jc.2006-2325

CrossRef Full Text | Google Scholar

31. Tsilchorozidou T, Honour JW, Conway CS. Altered cortisol metabolism in polycystic ovary syndrome: insulin enhances 5alpha-reduction but not the elevated adrenal steroid production rate. J Clin Endocrinol Metab (2003) 88:5907–13. doi:10.1210/jc.2003-030240

CrossRef Full Text | Google Scholar

32. Hellhammer DH, Wüst S, Kudielka BM. Salivary cortisol as a biomarker in stress research. Psychoneuroendocrinology (2009) 34:163–71. doi:10.1016/j.psyneuen.2008.10.026

CrossRef Full Text | Google Scholar

33. Jones RL, Owen LJ, Adaway JE, Keevil BG. Simultaneous analysis of cortisol and cortisone in saliva using XLC-MS/MS for fully automated online solid phase extraction. J Chromatogr B Analyt Technol Biomed Life Sci (2012) 881-882:42–8. doi:10.1016/j.jchromb.2011.11.036

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Dickerson SS, Kemeny ME. Acute stressors and cortisol responses: a theoretical integration and synthesis of laboratory research. Psychol Bull (2004) 130:355–91. doi:10.1037/0033-2909.130.3.355

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Skoluda N, Strahler J, Schlotz W, Niederberger L, Marques S, Fischer S, et al. Intra-individual psychological and physiological responses to acute laboratory stressors of different intensity. Psychoneuroendocrinology (2015) 51:227–36. doi:10.1016/j.psyneuen.2014.10.002

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Raven PW, Taylor NF. Sex differences in the human metabolism of cortisol. Endocr Res (1996) 22:751–5. doi:10.1080/07435809609043772

CrossRef Full Text | Google Scholar

37. Andrew R, Philipps DI, Walker B. Obesity and gender influence cortisol secretion and metabolism in man. J Clin Endocrinol Metab (1998) 83:1806–9. doi:10.1210/jcem.83.5.4951

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Shamim W, Yousufuddin M, Bakhai A, Coats AJ, Honour JW. Gender differences in the urinary excretion rates of cortisol and androgen metabolites. Ann Clin Biochem (2000) 37(Pt 6):770–4. doi:10.1258/0004563001900084

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Vierhapper H, Nowotny P, Waldhäusl W. Sex specific differences in cortisol production rates in humans. Metabolism (1998) 47:974–6. doi:10.1016/S0026-0495(98)90353-5

CrossRef Full Text | Google Scholar

40. Vierhapper H, Nowotny P. The stress of being a doctor: steroid excretion rates in internal medicine residents on and off duty. Am J Med (2000) 109:492–3. doi:10.1016/S0002-9343(00)00578-7

CrossRef Full Text | Google Scholar

41. Kajantie E, Philipps DIW. The effects of sex and hormonal status on the physiological response to acute psychosocial effects. Psychoneuroendocrinology (2005) 31:151–78. doi:10.1016/j.psyneuen.2005.07.002

CrossRef Full Text | Google Scholar

42. Lovallo WR, Farag NH, Vincent AS, Thomas TL, Wilson MF. Cortisol responses to mental stress, exercise, and meals following caffeine intake in men and woman. Pharmacol Biochem Behav (2006) 83:441–7. doi:10.1016/j.pbb.2006.03.005

CrossRef Full Text | Google Scholar

43. Kraemer RR, Blair S, Kraemer GR, Castracane VD. Effects of treadmill running on plasma beta-endorphin, corticotropin and cortisol levels in male and female 10K runners. Eur J Appl Physiol Occup Physiol (1989) 58:845–51. doi:10.1007/BF02332217

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Friedmann B, Kindermann W. Energy metabolism and regulatory hormones in women and men during endurance exercise. Eur J Appl Physiol Occup Physiol (1989) 59:1–9. doi:10.1007/BF02396572

CrossRef Full Text | Google Scholar

45. Marchand A, Durand P, Lupien S. Work hours and cortisol variation from non-working to working days. Int Arch Occup Environ Health (2013) 86:553–9. doi:10.1007/s00420-012-0788-y

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Roche DJO, King AC, Cohoon AJ, Lovallo WR. Hormonal contraceptive use diminishes salivary cortisol response to psychosocial stress and naltrexone in healthy woman. Pharmacol Biochem Behav (2013) 109:84–90. doi:10.1016/j.pbb.2013.05.007

CrossRef Full Text | Google Scholar

47. Nielsen SE, Segal SK, Worden IV, Yim IS, Cahill L. Hormonal contraception use alters stress responses and emotional memory. Biol Psychol (2013) 92:257–66. doi:10.1016/j.biopsycho.2012.10.007

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Damaske S, Smyth JM, Zawadzki MJ. Has work replaced home as a haven? Re-examining Arlie Hochschild’s Time Bind proposition with objective stress data. Soc Sci Med (2014) 115:130–8. doi:10.1016/j.socscimed.2014.04.047

CrossRef Full Text | Google Scholar

49. Joo EY, Yoon CW, Koo DL, Kim D, Hong SB. Adverse effects of 24 hours of sleep deprivation on cognition and stress hormones. J Clin Neurol (2012) 8:146–50. doi:10.3988/jcn.2012.8.2.146

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Wright KP Jr, Drake AL, Frey DJ, Fleshner M, Desouza CA, Gronfier C, et al. Influence of sleep deprivation and circadian misalignment on cortisol, inflammatory markers, and cytokine balance. Brain Behav Immun (2015) 47:24–34. doi:10.1016/j.bbi.2015.01.004

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Tobaldini E, Cogliati C, Fiorelli E, Nunziata V, Wu MA, Prado M, et al. One night on-call: sleep deprivation affects cardiac autonomic control and inflammation in physicians. Eur J Intern Med (2013) 24:664–70. doi:10.1016/j.ejim.2013.03.011

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Seemann T, Singer B, Wilkinson CW, McEwen B. Gender differences in age related changes in HPA axis reactivity. Psychoneuroendocrinology (2001) 26:225–40. doi:10.1016/S0306-4530(00)00043-3

CrossRef Full Text | Google Scholar

53. Kudielka BM, Hellhammer DH, Wüst S. Why do we respond so differently? Reviewing determinants of human salivary cortisol responses to challenge. Psychoneuroendocrinology (2009) 34:2–18. doi:10.1016/j.psyneuen.2008.10.004

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Hamer M, Steptoe A. Cortisol responses to mental stress and incident hypertension in healthy men and women. J Clin Endocrinol Metab (2012) 97:E29–34. doi:10.1210/jc.2011-2132

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Hamer M, Endrighi R, Venuraju SM, Lahiri A, Steptoe A. Cortisol response to mental stress and the progression of coronary artery calcification in healthy men and woman. PLoS One (2012) 7:e31356. doi:10.1371/journal.pone.0031356

CrossRef Full Text | Google Scholar

56. Seifarth JE, McGowan CL, Milne KJ. Sex and life expectancy. Gend Med (2012) 9:390–401. doi:10.1016/j.genm.2012.10.001

CrossRef Full Text | Google Scholar

Keywords: hypothalamic–pituitary–adrenal axis, gender, response to stressors, physicians, gas chromatography–mass spectrometry, urinary steroid metabolomics, glucocorticoid excretion

Citation: Boettcher C, Hartmann MF, Zimmer K-P and Wudy SA (2017) High Glucocorticoid Response to 24-h-Shift Stressors in Male but Not in Female Physicians. Front. Endocrinol. 8:171. doi: 10.3389/fendo.2017.00171

Received: 18 February 2017; Accepted: 03 July 2017;
Published: 18 July 2017

Edited by:

Pierrette Gaudreau, Université de Montréal, Canada

Reviewed by:

Arcady A. Putilov, Institute of Molecular Biology and Biophysics (RAS), Russia
Kazuhiro Takahashi, Tohoku University, Japan
José A. Morais, McGill University, Canada

Copyright: © 2017 Boettcher, Hartmann, Zimmer and Wudy. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Claudia Boettcher, claudia.boettcher@paediat.med.uni-giessen.de

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.