Skip to main content

Health, risk behaviour and consumption of addictive substances among physicians - results of an online survey



Previous studies were able to show that hazardous alcohol and substance abuse among physicians is not rare. Currently no recent data to detect risk groups are available either on the prevalence of hazardous drinking disorders and risky health behaviour among physicians or on influencing factors (age, gender, role, institution, specialization, working hours).


A 42-item online questionnaire was distributed to 38 university hospitals, 296 teaching hospitals and 1290 physicians in private practice. The questionnaire addressed health behaviour and alcohol/substance consumption as well as demographic and work-related properties.


Out of 1338 a total of 920 questionnaires could be evaluated. 90% of physicians estimate their health status as satisfying. 23% of doctors consume hazard quantities of ethanol, 5% are nicotine addicted, and 8% suffer from obesity. Childlessness (p = 0,004; OR = 1,67; KI = 1,17-2,37) for both genders and the role of a resident for females (p = 0,046, OR = 3,10, KI = 1,02-9,40) poses a risk factor for hazardous alcohol consumption. Weekly working hours of more than 50 h (p = 0,009; OR = 1,56; KI = 1,12-2,18) and a surgical profession (p < 0,001; OR = 2,03; KI = 1,47-2,81) may also be a risk factor towards hazardous and risky health behaviour.


A more structured and frequently repeated education on help offerings and specific institutions for addicted and risk groups seems essential.


Aspects of health attitude and consumption of addictive substances among doctors are frequently found in media and science [1,2,3,4,5,6]. Not only overburdening workload and burnout but alcohol and medication abuse also play a significant role. One major problem is the taboo status of discussing such behaviour in a group of co-workers exposed to high pressure and stress. Geuenich showed in 2009, that 46% of doctors in Germany suffer from psychological pressure both in the professional as well as the social context [7]. Information on available help and support as well as solutions are not commonly well known, even though they exist [4, 8,9,10]. In the US, lifetime prevalence of alcohol abuse and dependence of doctors in 1992 was estimated at 6%, while in Norway hazardous alcohol consumption among doctors increased from 12 to 15% between 1993 and 2000 [11, 12].

However, little scientific information on German doctors exists – prevalence of hazardous alcohol consumption according to Rosta et al. 2008 was 20% [1, 13, 14]. In a survey study, Unrath et al. determined in 2012 that almost every fourth general practitioner in Rhineland-Palatinate consumes alcohol on a daily basis [14]. Burnout and depression among physicians as well as addiction and risky health behaviours are under-represented clinical pictures [15, 16]. Mäulen assumes that alcohol is the most common drug used by doctors [10, 17]. In a survey study in 2008 Rosta found that particularly surgical disciplines and male doctors pose risk groups for hazardous alcohol consumption, but age has no significant influence [13]. However, other influencing factors were not investigated, and the influence of age, sex and discipline was not analysed in a multivariable way. In a smaller study in 2009, Voigt et al. studied the smoking behaviour of physicians in Saxony and Brandenburg - 86% were non-smokers [18]. Furthermore, experts estimate that about 0.7% of physicians in Germany use narcotic drugs (BtM), but there is no reliable data regarding this [10]. There is currently no data on general risk-taking and the physical activity and nutrition of physicians in Germany.

Hazardous drinking is defined as the consumption of an amount of alcohol that increases the risk of harmful consequences for the user or others. Harmful drinking on the other hand comes along with actual physical or mental harm [19]. Since the transition between these terms is fluent, we use the term ‚hazardous‘ for both terms [20]. The amount of alcohol which marks hazardous consumption is differently defined. For example, Reid et al. 1999 defined: “21 drinks or more per week for men (or >= 7 drinks per occasion at least 3 times a week) or 14 drinks or more per week for women (or >=5 drinks per occasion at least 3 times a week)” [21]. A more recent study of Wood et al. concluded that the consumption of more than 100 g alcohol per week is risky [22].

The aim of the present work is to update the data on addiction and health behaviour of physicians, as well as to reflect the general risk tolerance. Furthermore, risk groups can be identified to support the development of prevention strategies. The following questions were examined:

  • How do doctors evaluate their own health?

  • How balanced is a doctor’s diet and how regularly do they exercise?

  • What is the general willingness of doctors to take risks and how often do they participate in preventive examinations? Do predisposed groups exist?

  • What is the prevalence of dangerous alcohol use among physicians and how does it affect their counselling behaviour? Which groups are particularly at risk?

  • What is the prevalence of substance use, risk taking and obesity in specific comparison between surgical and non-surgical specialties?


Design and conduction of survey

This study was conducted as an anonymous survey of physicians in Germany using web-based survey opportunities on the website of pollster SurveyMonkey® (San Mateo, CA) [16]. The survey was reviewed and approved by the Ethics Committee of the Faculty of Medicine of the Technical University of Munich (number: 555 / 15S).

In mid-October 2016, an e-mail cover letter was sent to medical and commercial directors and / or hospital management of the 38 university hospitals in Germany as well as to 296 teaching hospitals [23]. A maximum of nine teaching hospitals were contacted per university.

During the same period, 1290 physicians in 11 German federal states were contacted by e-mail after selection via a multi-stage random procedure, selected on the basis of the online registries of the medical associations. In each case, according to the area of the federal state, a representative sample stratified by discipline was drawn. A multiple of 15 general practitioners and one representative from 23 specialties was selected in total: Bavaria was chosen as a reference state, where a calculated total of 120 general practitioners and 184 members of other disciplines were examined.

The federal states were Bavaria (120/184), Baden-Wuerttemberg (80/115), Saarland (13/23), Rhineland-Palatinate (40/69), Hesse (40/69), Thuringia (40/69), Lower Saxony (90/138), Saxony-Anhalt (40/69), Bremen (6/12), Schleswig-Holstein (30/46) and Hamburg (7/11).

Areas of specialization were anaesthesiology, surgery, dermatology, gynaecology and obstetrics, internal medicine, child and adolescent psychiatry, laboratory medicine, nuclear medicine, pathology, plastic surgery, psychosomatics, urology, radiology, ear nose throat, human genetics, paediatrics, neurology, microbiology, orthopaedics and traumatology, physical and rehabilitative medicine, psychiatry and radiation therapy.

One out of ten in the online directories of the medical associations, sorted by subject, was selected. Since some federal states did not have enough representatives in the smaller subject areas, 21 physicians less were addressed - so a total of 1290 doctors instead of 1311.

To achieve greater participation and to maintain the anonymity of clinics and doctors, confirmation of participation in the survey by the respective clinic or respective physician was waived. The cover letter included a link to the survey (one-time redirection per IP address), a short description of the content and the request for internal and external distribution. The survey was open for participation for a total of 10 weeks (11th October to 19th December 2016). In mid-November 2016, a reminder letter was sent by e-mail to all contacted clinics and doctors. Surveys addressed to the relevant specialist societies in Austria, Switzerland and occasionally in English-speaking countries were not included in the evaluation due to insufficient numbers of participants.


By including validated tests and using literature, a 42-item questionnaire (41 plus consent) was developed using SurveyMonkey®'s online tool [24,25,26,27,28,29,30,31,32]. A team of eight physicians and four clinical researchers from various disciplines not involved in the study at Klinikum rechts der Isar tested the survey for comprehensibility as well as the quality and lack of questions. After evaluating the suggestions for improvement and the modification of six items, the final version was created. Answering the questions averaged about 7 min. The questionnaire can be found in the online supplement.

Included were questions on general health behaviour and attitude, sports, diet and socio-demographic as well as occupational aspects. To examine the nicotine and alcohol consumption behaviour validated tests were used. The former was examined by using the Heaviness of Smoking Index (HSI), a short form of the Fagerström Test for Nicotine Dependence (FTND) [33, 34]. The latter was examined by the AUDIT-C, a short form of the Alcohol Use Disorders Identification Test (AUDIT) with comparable psychometric quality [26, 32, 35]. A cut-off point of 5 or more was used to detect hazardous alcohol consumption – this sum was recommended as cut-off for the German population [36]. Additionally the CAGE questionnaire was integrated, whose answering was voluntary to avoid dropouts [30].


The evaluation was carried out by means of the statistical software SPSS (SPSS Statistics Premium 24, IBM). Depending on type of data, mean values ​​with standard deviations or relative and absolute frequencies were calculated for the descriptive analysis. Differences between physicians, surgical and non-surgical disciplines, as well as hazardous and non-hazardous alcohol consumption were analysed with Fisher’s exact test, chi-square test or the t-test for two unconnected samples, depending on the scale level. Furthermore, binary logistic regression analyses were performed in multivariate models, adjusted for potential influencing factors.


Return and sample size

Altogether, in the German-language version of 1338 on-line questionnaires 1096 were completely filled out. Completion rate thus equals 81.9%. The response rate itself is not assessable in this study, because we refrained from retracing the participants to ensure anonymity and to achieve a greater number of participants. Twenty-two participants did not agree to the scientific use of their data and had to be excluded. Due to the low number of active doctors in Austria (n = 25) and Switzerland (n = 50), only 988 participants active in Germany were selected (excluded: other country: 4, missing information: 7). Forty-six people were excluded because they were not doctors or non-medics and another 22 because they gave missing or obviously wrong answers in the categories analysed here. Thus, the following results are based on the complete information of 920 physicians working in Germany.

The majority of participating physicians were younger than 35 years, whereas more men than women were over 46 years old (43 and 31%, respectively) (Table 1). Significantly more men than women lived with children in the household (52 and 38%, respectively), and they were also significantly more likely to be married (73 and 53%, respectively). Most participants came from internal medicine (21%), from surgery (including orthopaedics and trauma surgery) (18%) and anaesthesiology (16%). Nearly one in two men worked in a leadership position (45%), while just below half of the women were residents (46%). 85% of all responding physicians worked in a clinic. 53% of the female physicians and 71% of the male physicians regularly worked at least 50 h a week.

Table 1 Socio-demographic and occupational characteristics (absolute numbers/frequency in %)

Examined variables

There was no difference between the subjective perception of health by members of a surgical specialty and a non-surgical specialty. Health was found to be at least satisfactory by almost all (90%) (Table 2). Almost every second surgeon (44%) sometimes or often took risks, significantly more frequently than doctors in non-surgical disciplines (26%). Surgeons also took greater risks because of the fact that only one out of five regularly participated in check-ups. Also the AUDIT-C test suggested that at least 29% of surgeons had at least a hazardous alcohol intake - nearly one in four doctors in total. 8% of participating physicians were severely obese (BMI ≥30) and 5% showed moderate to high nicotine dependence in the Heaviness of Smoking Index.

Table 2 Health, risks, consumption of addictive substances in surgical and non-surgical specialties (absolute numbers/frequency in % or means [standard deviations])

Response numbers in the category “substance abuse” were too little to allow for valid conclusions. Only five physicians reported regularly taking benzodiazepines, seven regularly consumed Z-drugs (e.g. Zolpidem, Zopiclon and Zaleplon), two opiates and / or opioids, three ecstasy, cocaine and / or amphetamines, and 18 physicians regularly consumed cannabinoids.

Influencing factors

Comparing the group of people with potentially hazardous alcohol consumption with the group of those who did not consume alcohol or whose consumption was rather harmless in regard to certain risk factors, it is noteworthy that significantly more men than women (32 to 13%) showed a hazardous drinking behaviour (Table 3). Childless persons were significantly more likely (26%) to drink more than parents (19%). Alcohol consumption by physicians working less than 50 h a week was less hazardous (83 to 74%). On the other hand, the age as well as the position and the type of institution did not reveal any significant differences.

Table 3 Hazardous alcohol consumption: potential influencing factors (absolute numbers/frequency in %)

Consultation behaviour

Doctors who were prone to hazardous alcohol consumption also differed in their counselling pattern (Fig. 1): Regardless of field of study, they rarely or even never advised their patients to abstain from narcotic drugs (surgical: 56%, non-surgical: 32%), compared to doctors without hazardous alcohol consumption.

Fig. 1

Counselling pattern regarding the consumption of alcohol-a comparison of surgical and non-surgical specialities (absolute numbers/frequency in %)

CAGE questionnaire

The CAGE questionnaire was voluntary (Fig. 2). Nevertheless, just over 50% of all participants answered the questions. Since two or more positive answers indicate a positive test, 115 of the responding physicians (12.5% ​​of the total, n = 920) would be recommended a further consultation on their alcohol consumption.

Fig. 2

Voluntary CAGE test (frequency in %/absulote numbers)

Figure 3 indicates a positive correlation of the results of the two tests (AUDIT-C; CAGE questionnaire) to evaluate hazardous alcohol consumption. 75% of the physicians, who gave two positive answers, scored 4 or more points in the AUDIT-C test - likewise in the group of physicians who gave three positive answers in the CAGE questionnaire.

Fig. 3

Comparison of the test results of the CAGE and the AUDIT-C test


Four people with a positive AUDIT-C test described their alcohol use as a dependency and another 44 as abusive (Fig. 4).

Fig. 4

Self-assessment in the case of hazardous alcohol consumption (frequency in %/absolute numbers)

Regression analysis

To form multivariate logistic regression models, all survey participants were divided into surgical and non-surgical disciplines with regard to their specialization (classification see Table 2). The significant differences in the discipline from Table 2 (“dangerous alcohol consumption”, “risky behaviour”, “prevention investigations”) were further examined with the help of logistic regression. It was adjusted to “age”, “gender”, “children in the household”, “working time”, “subject area”, “position”, “institution”, “burdens”. These were converted into dichotomous variables. Tables 4, 5 and 6 show only the relevant estimators.

Table 4 Multivariate logistic regression modelsa: hazardous alcohol consumption
Table 5 multivariate logistic regression modelsa: risky behaviour
Table 6 Multivariate logistic regression models: preventive check-ups (rare utilization)

In the overall collective, female gender was a significant protective factor against hazardous alcohol consumption (OR = 0.27) (Table 4). However, childless female doctors represented a risk group that was twice as likely to drink alcohol as their female colleagues (OR = 2.16). Female residents even showed three times higher odds compared to their female colleagues in senior positions (OR = 3.10), but there was a large confidence interval of 1.02–9.40, indicating a too small collective. In the case of male physicians, childless physicians had a significantly increased risk of hazardous alcohol consumption (OR = 1.62).

Table 5 shows that surgeons were twice as likely to behave riskily as their non-surgical counterparts (OR = 2.09 for “female doctors” and 2.00 for “doctors”). Childlessness was associated with risky behaviours among male physicians (OR = 1.61). Similarly, women were significantly less likely to behave riskily than men (OR = 0.46) and physicians who work more than 50 h a week were significantly more likely than their less-active counterparts (OR = 1.56).

Table 6 shows that female doctors attended a significantly higher number of check-ups than male doctors (OR = 0.34). Surgical specialists were less likely to take precautionary measures than their non-surgical counterparts (OR = 1.57). Being a surgeon, especially in males, was clearly associated with the outcome “rare use of check-ups” (OR = 2.15).


Sample and approach

In order to lose as few participants as possible and to maintain anonymity in the context of the topic, it was decided not to collect confirmations of the internal forwarding by the hospital management and to calculate a response rate from this. In particular, international contact attempts (Great Britain and the USA) proved to be difficult, as there were considerable concerns regarding the confidentiality of data or traceability.

More younger physicians took part in the survey, as they may be more Internet affine than their older colleagues [37]. Furthermore, it is also to be assumed that very sick or stressed doctors do not participate in such a survey. All the more surprising is the high number of senior physicians, as they are exposed to a slightly higher number of weekly working hours than medical residents [38].

Literature suggests that distortions due to the effect of social desirability or false responses play a less relevant role in online surveys, the reason for this being that the Internet provides respondents with an anonymous environment [39, 40]. However, it can be assumed that especially physicians with intentionally risky substance use or already diagnosed dependence - in particular with regard to the medical habitus - for reasons of shame, concern about confidentiality of the data and thus labour law consequences do not participate in such online surveys. It may therefore be assumed that there are a certain number of unreported cases, so that the actual prevalence of risky drug use or risk behaviour may be higher than shown in the present work.

For the AUDIT-C, a cut-off score of 5 points was used for men and women, as it could achieve a higher specificity compared with 3 points (0.42 vs. 0.83) [36]. Admittedly Rumpf et al. found a higher sensitivity for at-risk drinking throughout the AUDIT compared to the AUDIT-C, however, specificity of the latter was higher. This was crucial to avoid overestimating the problem. Moreover, it was not expedient to carry out a screening as in the clinical setting, but to minimize the number of false-positive results so as to better map and reflect the reality. Correction of the specificity results was not performed, therefore the results should be interpreted with caution - a survey among Salzburg physicians showed a corrected value of 7% as a prevalence for high-risk alcohol consumption, uncorrected reached a positive value in the AUDIT-C of 27.4% [41].

Since the CAGE questionnaire had to be completed on a voluntary basis in order not to lose participants through personal questions, only just under half of all participants could be evaluated.

As a whole the questionnaire is not validated and thus the results have to be interpreted very carefully. Partially, validated questions were used, though standardised questionnaires to examine physicians‘ health better lack. This study merely might provide hints on existing difficulties and constitute a first impression of the current situation in Germany.

Investigated variables

With regard to nicotine consumption, Voigt et al. found the same value for the number of non-smokers in 2009 [18]. However, with regard to smoking behaviour, they only determined the number of cigarettes smoked per day. The Heaviness of Smoking Index - a section of the Fagerström test for nicotine addiction - also makes it possible to distinguish the severity of nicotine dependence [42].

With regard to ethanol, male physicians generally seem to drink more than female doctors, but women in the present survey are significantly more influenced by professional factors such as position and discipline in their drinking behaviour. In contrast to Rosta et al. we could not identify affiliation to surgical disciplines as an independent risk factor for hazardous alcohol consumption for men, whereas for women - if there would be a higher number of surgeons - a high risk of surgical subjects could be identified with high probability - the wide confidence interval indicates a low number of female surgeons in this study (p-value 0.062, OR = 2.00, CI: 0.97–4.12) [13, 43]. This corresponds to findings for female surgeons in Norway [43].

Assistants also seem to have a high odd (p-value 0.046, OR = 3.10, CI: 1.02–9.40). This raises the question of whether women are less able to compensate for the burden of working in operational subjects than men.

Finally, we were able to confirm the lack of influence of age on hazardous alcohol consumption as described by Rosta et al. [13].

One risk group still consists of childless physicians: they are more prone to risky behaviour and hazardous alcohol consumption - this could be due to the fact that childless doctors have no obligation to be role models for anyone, have no responsibility in educational and entertainment aspects, and possibly more time for hazardous ventures.

While senior and chief physicians with children in literature have an increased risk of burnout, childlessness and long weekly working hours may predispose to more frequent risky behaviour [44]. Surgical professionals and physicians who work more than 50 h per week seem more risk-averse - a coping mechanism may be responsible.

A surgical discipline leads to less frequent use of preventive examinations in men. Men are generally less likely to seek medical check-ups and tend to be more careless about their own health [45, 46]. Surgeons may argue more than others to have to meet a particular personality profile required by the patient and supervisor: great self-esteem, high resilience, strong stamina. Illness could be interpreted as a sign of weakness and preventive examinations are therefore avoided.

In conclusion, however, risky behaviour, as well as the use of preventive screening and high-risk alcohol consumption, seems to be independent of whether or not respondents suffered from stress at the time of the survey.

For comparison no current data is available regarding the prevalence of hazardous alcohol consumption in certain occupation groups apart from physicians in Germany. Documented data on problems caused by alcohol in the professional environment can provide information on exposed occupation groups: Especially affected seem to be people who are working in the gastronomy. Also the category “delivery of other economic services” which includes temporary work is affected above average [47]. Regarding the total population the following data should be mentioned: the prevalence of alcohol-related disorders by DSM-IV in adults between 18 and 64 years in Germany in 2013 evaluated by Pabst et al. for abuse and dependency in total 6,5%, in men 9,5% and in women 3,5% [48]. A study by the Robert-Koch-Institute from 2008 till 2011 by the means of the AUDIT-C test resulted in a risky consumption of alcohol for 41,6% for the men and 25,6% for the women [49].


Risk groups and factors influencing health-endangering behaviour may further be investigated in future studies and standardised questionnaires for the examination of physicians‘health have to be developed. The number of women in the medical profession will continue to increase and so will the need for female doctors in surgical professions [50, 51]. These require a high level of resilience and coping strategies as stress and strain levels increase. There is an urgent need to conduct further studies on the risk for female surgeons for hazardous alcohol consumption.

In Germany aid offers are readily available. Specialist clinics, such as the Oberbergkliniken, provide an anonymous environment and offer structured treatment options [52]. In cooperation with the regional medical associations, there is an intervention program based on the principle “help instead of punishment”, which addresses the special circumstances of the medical profession: It guarantees anonymity, regulates practice representation and reimbursement of costs, and offers close outpatient follow-up care [4, 53].

However, the primary prevention should be extended significantly, as many doctors are not familiar with the offers of help and treatment opportunities and, among other things, do not get help for fear of labour-law consequences. To address this, one could also train chief physicians better in the handling and recognition of addiction problems. One could also teach doctors how to interact with and help potentially affected colleagues. There should already be contact persons in the immediate vicinity of the clinic. For example, with the help of an occupational medical burnout screening to identify particularly stressed physicians who have few coping strategies, risk groups could be identified at an early stage.

Key messages

  • Nearly one in four physicians consumed alcohol at hazardous levels.

  • Female assistants had a three times higher risk of hazardous alcohol use compared to women in senior positions.

  • Surgical professionals tended towards risky health habits twice as often compared to their colleagues in non-surgical disciplines.

  • There is a need to improve primary prevention.

  • The aim should be the identification of the most vulnerable groups followed by early intervention.


  1. 1.

    Rosta J. Prevalence of problem-related drinking among doctors: A review on representative samples. Ger Med Sci. 2005;3:Doc07.

    PubMed  PubMed Central  Google Scholar 

  2. 2.

    Mayall RM. Substance abuse in anaesthetists. BJA Educ. 2016;16:236–41.

    Article  Google Scholar 

  3. 3.

    NHS doctors turning to substance abuse amid rising levels of stress and burnout. 27.06.2017. Accessed 11 Apr 2018.

  4. 4.

    Bühring P. Suchtkranke Ärzte: Sehr hohe Behandlungsmotivation. Deutsches Ärzteblatt. 2017;114:A-935 / B-785 / C-767.

  5. 5.

    Ärzte: Kranker Job. 30.01.2016. Accessed 14 Jan 2018.

  6. 6.

    Frankfurter Allgemeine Zeitung GmbH. Burnout am OP-Tisch: „Als Chirurg muss man eben saufen“. Accessed 14 Jan 2018.

  7. 7.

    Geuenich K. Sind Sie Burnout-gefährdet?: Ergebnisse unserer Ärztestudie. Der Hausarzt. 2009:2–4.

  8. 8.

    Diefenbach C, Drexler S, Schön C. Suchterkrankungen bei Ärzten: Sanktionieren und Helfen sind kein Widerspruch. Deutsches Ärzteblatt. 2013;110:A-1028.

    Google Scholar 

  9. 9.

    Mundle G, Gottschaldt E. Hilfsangebote für suchtkranke Ärzte - Spezifische Behandlungsmaßnahmen ermöglichen eine erfolgreiche Behandlung. Psychoneuro. 2007;33:13–8.

    Article  Google Scholar 

  10. 10.

    Mäulen B. Sucht unter Ärzten. In: Badura B, Ducki A, Schröder H, Klose J, Meyer M, editors. Fehlzeiten-Report 2013: Verdammt zum Erfolg - Die süchtige Arbeitsgesellschaft? Berlin: Springer; 2013. p. 143–50.

    Google Scholar 

  11. 11.

    Hughes PH. Prevalence of substance use among US physicians. JAMA. 1992;267:2333.

    Article  PubMed  CAS  Google Scholar 

  12. 12.

    Gulbrandsen P, Aasland OG. Endringer i norske legers alkoholvaner 1985-2000. Tidsskr Nor Laegeforen. 2002;122:2791–4.

    PubMed  Google Scholar 

  13. 13.

    Rosta J. Hazardous alcohol use among hospital doctors in Germany. Alcohol Alcohol. 2008;43:198–203.

    Article  PubMed  Google Scholar 

  14. 14.

    Unrath M, Zeeb H, Letzel S, Claus M, Escobar Pinzón LC. Identification of possible risk factors for alcohol use disorders among general practitioners in Rhineland-Palatinate, Germany. Swiss Med Wkly. 2012;142:w13664.

    PubMed  Article  Google Scholar 

  15. 15.

    Braun M, Freudenmann R, Schönfeldt-Lecuona C, Beschoner P. Burnout, Depression und Substanzgebrauch bei Ärzten - Ein Überblick zur derzeitigen Datenlage in Deutschland. psychoneuro. 2007;33:19–22.

    Article  Google Scholar 

  16. 16.

    Unrath M. Psychische Gesundheit von Ärzten in Deutschland: Prävalenz psychischer Erkrankungen und Risikofaktoren. Hessisches Ärzteblatt. 2013:86–90.

  17. 17.

    Badura B, Ducki A, Schröder H, Klose J, Meyer M, editors. Fehlzeiten-Report 2013: Verdammt zum Erfolg - Die süchtige Arbeitsgesellschaft? Berlin: Springer; 2013.

    Google Scholar 

  18. 18.

    Voigt K, Twork S, Mittag D, Göbel A, Voigt R, Klewer J, et al. Consumption of alcohol, cigarettes and illegal substances among physicians and medical students in Brandenburg and Saxony (Germany). BMC Health Serv Res. 2009;9:219.

    Article  PubMed  PubMed Central  Google Scholar 

  19. 19.

    World Health Organization. WHO | Lexicon of alcohol and drug terms published by the World Health Organization. Accessed 27 Jun 2018.

  20. 20.

    Reid MC, Fiellin DA, O'Connor PG. Hazardous and harmful alcohol consumption in primary care. Arch Intern Med. 1999;159:1681.

    Article  PubMed  CAS  Google Scholar 

  21. 21.

    Piccinelli M, Tessari E, Bortolomasi M, Piasere O, Semenzin M, Garzotto N, Tansella M. Efficacy of the alcohol use disorders identification test as a screening tool for hazardous alcohol intake and related disorders in primary care: a validity study. BMJ. 1997;314:420–4.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  22. 22.

    Wood AM, Kaptoge S, Butterworth AS, Willeit P, Warnakula S, Bolton T, et al. Risk thresholds for alcohol consumption: combined analysis of individual-participant data for 599 912 current drinkers in 83 prospective studies. Lancet. 2018;391:1513–23.

    Article  PubMed  PubMed Central  Google Scholar 

  23. 23.

    Übersicht der Universitätsklinika | Die Deutschen Universitätsklinika. Accessed 25 Feb 2018.

  24. 24.

    SurveyMonkey: The World’s Most Popular Free Online Survey Tool. Accessed 11 Apr 2018.

  25. 25.

    WHO: Global Database on Body Mass Index. Accessed 11 Apr 2018.

  26. 26.

    Bush K. The AUDIT alcohol consumption questions (AUDIT-C)<subtitle>an effective brief screening test for problem drinking</subtitle>. Arch Intern Med. 1998;158:1789.

    Article  PubMed  CAS  Google Scholar 

  27. 27.

    Jacob R, Heinz A, Décieux JP. Umfrage: Einführung in die Methoden der Umfrageforschung. 3rd ed. München: Oldenbourg; 2013.

    Google Scholar 

  28. 28.

    John U, Meyer C, Schumann A, Hapke U, Rumpf H-J, Adam C, et al. A short form of the Fagerström test for nicotine dependence and the heaviness of smoking index in two adult population samples. Addict Behav. 2004;29:1207–12.

    Article  PubMed  CAS  Google Scholar 

  29. 29.

    Raab-Steiner E, Benesch M. Der Fragebogen: Von der Forschungsidee zur SPSS-Auswertung. 4th ed. Wien: Facultas; 2015.

    Google Scholar 

  30. 30.

    Mayfield D, McLeod G, Hall P. The CAGE questionnaire: validation of a new alcoholism screening instrument. Am J Psychiatry. 1974;131:1121–3.

    PubMed  CAS  Article  Google Scholar 

  31. 31.

    Eveleth PB, Andres R, Chumlea WC, Eiben O, Ge K, Harris T, et al. Uses and interpretation of anthropometry in the elderly for the assessment of physical status. Report to the nutrition unit of the World Health Organization: the expert subcommittee on the use and interpretation of anthropometry in the elderly. J Nutr Health Aging. 1998;2:5–17.

    PubMed  CAS  Google Scholar 

  32. 32.

    Babor TF, Higgins-Biddle JC, Saunders JB, Monteiro MG, World Health Organisation (WHO). AUDIT: the alcohol use disorders identification test: guidelines for use in primary health care. 2nd ed. Geneva: World Health Organisation; 2001.

    Google Scholar 

  33. 33.

    Heatherton TF, Kozlowski LT, Frecker RC, Fagerström KO. The Fagerström test for nicotine dependence: a revision of the Fagerström tolerance questionnaire. Br J Addict. 1991;86:1119–27.

    Article  PubMed  CAS  Google Scholar 

  34. 34.

    Heatherton TF, Kozlowski LT, Frecker RC, Rickert W, Robinson J. Measuring the heaviness of smoking: using self-reported time to the first cigarette of the day and number of cigarettes smoked per day. Br J Addict. 1989;84:791–9.

    Article  PubMed  CAS  Google Scholar 

  35. 35.

    de Meneses-Gaya C, Zuardi AW, Loureiro SR, Crippa JAS. Alcohol use disorders identification test (AUDIT): an updated systematic review of psychometric properties. Psychol Neurosci. 2009;2:83–97.

    Article  Google Scholar 

  36. 36.

    Rumpf H-J, Hapke U, Meyer C, John U. Screening for alcohol use disorders and at-risk drinking in the general population: psychometric performance of three questionnaires. Alcohol Alcohol. 2002;37:261–8.

    Article  PubMed  Google Scholar 

  37. 37.

    von Baur N, Florian MJ. Stichprobenprobleme bei Online-Umfragen. In: Jackob N, Schoen H, Zerback T, editors. Sozialforschung im Internet: Methodologie und Praxis der Online-Befragung. 1st ed. Wiesbaden: VS Verlag für Sozialwissenschaften / GWV Fachverlage GmbH Wiesbaden; 2009. p. 109–28.

    Google Scholar 

  38. 38.

    Rosta J. Hospital Doctors´ Working Hours in Germany: Preliminary Data from a National Survey in Autumn 2006. Deutsches Ärzteblatt. 2007;104:A-2417.

    Google Scholar 

  39. 39.

    Dodou D, de Winter JCF. Social desirability is the same in offline, online, and paper surveys: a meta-analysis. Comput Hum Behav. 2014;36:487–95.

    Article  Google Scholar 

  40. 40.

    Crutzen R, Göritz AS. Social desirability and self-reported health risk behaviors in web-based research: three longitudinal studies. BMC Public Health. 2010;10:720.

    Article  PubMed  PubMed Central  Google Scholar 

  41. 41.

    Wurst FM, Rumpf H-J, Skipper GE, Allen JP, Kunz I, Beschoner P, Thon N. Estimating the prevalence of drinking problems among physicians. Gen Hosp Psychiatry. 2013;35:561–4. .

    Article  PubMed  Google Scholar 

  42. 42.

    Schnoll RA, Goren A, Annunziata K, Suaya JA. The prevalence, predictors and associated health outcomes of high nicotine dependence using three measures among US smokers. Addiction. 2013;108:1989–2000.

    Article  PubMed  Google Scholar 

  43. 43.

    Rosta J, Aasland OG. Female surgeons' alcohol use: a study of a national sample of norwegian doctors. Alcohol Alcohol. 2005;40:436–40.

    Article  PubMed  Google Scholar 

  44. 44.

    Wegner R, Kostova P. Belastung und Beanspruchung von Krankenhausärzten zwischen 1975 und 2007. Arbeitsbedingungen und Befinden von Ärztinnen und Ärzten Befunde und Interventionen. 2010:243–51.

  45. 45.

    Starker A, Saß A-C. Inanspruchnahme von Krebsfrüherkennungsuntersuchungen: Ergebnisse der Studie zur Gesundheit Erwachsener in Deutschland (DEGS1). Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2013;56:858–67.

    Article  PubMed  CAS  Google Scholar 

  46. 46.

    Robert Koch-Institut. Gesundheitliche Lage der Männer in Deutschland | Beiträge zur Gesundheitsberichterstattung des Bundes.

  47. 47.

    Deutsche Hauptstelle für Suchtfragen e.V., DHS, Berufsgruppen mit erhöhtem Risiko. Accessed 27 Jun 2018.

  48. 48.

    Pabst A, Kraus L, EGd M, Piontek D. Substanzkonsum und substanzbezogene Störungen in Deutschland im Jahr 2012. SUCHT. 2013;59:321–31.

    Article  Google Scholar 

  49. 49.

    Hapke U, V der Lippe E, Gaertner B. Riskanter Alkoholkonsum und Rauschtrinken unter Berücksichtigung von Verletzungen und der Inanspruchnahme alkoholspezifischer medizinischer Beratung: Ergebnisse der Studie zur Gesundheit Erwachsener in Deutschland (DEGS1). Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2013;56:809–13.

    Article  PubMed  CAS  Google Scholar 

  50. 50.

    Jefferson L, Bloor K, Maynard A. Women in medicine: historical perspectives and recent trends. Br Med Bull. 2015;114:5–15.

    Article  PubMed  Google Scholar 

  51. 51.

    Healthcare personnel statistics - physicians - Statistics Explained. Accessed 11 Apr 2018.

  52. 52.

    Oberbergklinik. 05.03.2018. Accessed 17 Mar 2018.

  53. 53.

    Arzt und Sucht. Accessed 17 Mar 2018.

Download references


We would like to thank the team from Unika-T as well as all participants in the survey.


This work was supported by the German Research Foundation (DFG) and the Technical University of Munich (TUM) in the framework of the Open Access Publishing Program.

Availability of data and materials

All detailed data and material such as specific survey results is available from the corresponding author upon request:

Author information




The authors contributed to the research as follows: Conceptualization: F.E., R.M. and D.P. Methodology: F.E., R.M. and D.P. Software: R.M., C.M. and D.F. Validation: F.E., R.M., C.M., D.F. and D.P. Formal Analysis: F.E., R.M., C.M., D.F. and D.P. Investigation: F.E., R.M. and D.P. Resources: F.E., R.M., C.M., D.F. and D.P. Data Curation: F.E., R.M., C.M., D.F. and D.P. Writing-Original Draft Preparation: R.M., D.P. and F.E. Writing-Review & Editing: F.E., R.M., C.M., D.F. and D.P. Visualization: R.M. and F.E. Supervision: F.E. and D.P. Project Administration: F.E., R.M., C.M., D.F. and D.P. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Dominik Pförringer.

Ethics declarations

Ethics approval and consent to participate

The survey was reviewed and approved by the Ethics Committee of the Faculty of Medicine of the Technical University of Munich (number: 555 / 15S).

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Pförringer, D., Mayer, R., Meisinger, C. et al. Health, risk behaviour and consumption of addictive substances among physicians - results of an online survey. J Occup Med Toxicol 13, 27 (2018).

Download citation


  • Health
  • Physicians’ health
  • Addiction
  • Risk behaviour
  • Alcohol
  • Drugs
  • Consumption
  • Online survey