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The Copenhagen Burnout Inventory: A new tool for the assessment of burnout



So far, the large majority of studies on burnout in the international literature have employed the Maslach Burnout Inventory (MBI). In this paper we criticize the MBI on a number of points and present a new tool for the measurement of burnout: the Copenhagen Burnout Inventory (CBI). The CBI consists of three scales measuring personal burnout, work-related burnout, and client-related burnout, for use in different domains. On the basis of an ongoing prospective study of burnout in employees in the human service sector, the PUMA study (Project on Burnout, Motivation and Job Satisfaction; N=1914 at baseline), we analysed the validity and reliability of the CBI. All three scales were found to have very high internal reliability, and non-response rates were small. The scales differentiated well between occupational groups in the human service sector, and the expected pattern with regard to correlations with other measures of fatigue and psychological well-being was found. Furthermore, the three scales predicted future sickness absence, sleep problems, use of pain-killers, and intention to quit. Analyses of changes over time showed that substantial proportions of the employees changed with regard to burnout levels. It is concluded that the analyses indicate very satisfactory reliability and validity for the CBI instrument. The CBI is being used in a number of countries and translations into eight languages are available.
The Copenhagen Burnout Inventory: A new tool for the
assessment of burnout
National Institute of Occupational Health, Lerso Parkalle 105, DK-2100 Copenhagen O, Denmark
So far, the large majority of studies on burnout in the international literature have employed the
Maslach Burnout Inventory (MBI). In this paper we criticize the MBI on a number of points and
present a new tool for the measurement of burnout: the Copenhagen Burnout Inventory (CBI). The
CBI consists of three scales measuring personal burnout, work-related burnout, and client-related burnout,
for use in different domains. On the basis of an ongoing prospective study of burnout in employees in
the human service sector, the PUMA study (Project on Burnout, Motivation and Job Satisfaction;
/1914 at baseline), we analysed the validity and reliability of the CBI. All three scales were found to
have very high internal reliability, and non-response rates were small. The scales differentiated well
between occupational groups in the human service sector, and the expected pattern with regard to
correlations with other measures of fatigue and psychological well-being was found. Furthermore, the
three scales predicted future sickness absence, sleep problems, use of pain-killers, and intention to
quit. Analyses of changes over time showed that substantial proportions of the employees changed
with regard to burnout levels. It is concluded that the analyses indicate very satisfactory reliability and
validity for the CBI instrument. The CBI is being used in a number of countries and translations into
eight languages are available.
Keywords: Burnout, CBI, Copenhagen Burnout Inventory, exhaustion, fatigue, human service work,
psychosocial work environment, PUMA study, questionnaire validity
Why burnout?
The concept of burnout was introduced in the psychosocial literature in the middle of the
1970s by Freudenberger (1974) and Maslach (1976). Freudenberger and Maslach
‘invented’ the concept independently after having studied the same kind of reactions
among volunteers who worked with social problems among underprivileged citizens. While
burnout started as a non-theoretical ‘grass-root’’ concept it soon became a metaphor for a
number of important psychosocial problems among persons who do ‘people work’’. In the
1970s most of the research in occupational health psychology was still focusing on
industrial workers and little attention was paid to social workers, nurses, teachers and other
white collar groups in the human service sector.
Correspondence: Tage S. Kristensen, National Institute of Occupational Health, Lerso Parkalle 105, DK-2100
Copenhagen O, Denmark. E-mail:
ISSN 0267-8373 print/ISSN 1464-5335 online # 2005 Taylor & Francis
DOI: 10.1080/02678370500297720
Work & Stress,July/September 2005; 19(3): 192/207
Today the concept of burnout is not only well established in psychosocial research
(Maslach & Leiter, 1997; Schaufeli & Enzmann, 1998; Schaufeli, Maslach, & Marek, 1993)
but also an extremely well known and popular metaphor among human service workers in a
large number of countries. When the Danish longitudinal study PUMA (Danish acronym
for Project on Burnout, Motivation and Job Satisfaction) was initiated in 1997 the driving
force behind the study was the union representing the human service workers. This union
had noticed a sharp increase in long-term sickness leave and early retirement among the
members, and wanted an independent and scientific study performed by researchers from
NIOH (National Institute of Occupational Health, Copenhagen). PUMA was established
as a longitudinal intervention study over 5 years, and the aim was to study the prevalence
and distribution of burnout, the causes and consequences of burnout, and possible
interventions to reduce burnout if necessary (Borritz et al., in press, a).
In connection with the PUMA study we reviewed a number of questionnaires for the
assessment of burnout. We did not find any of the available instruments to be satisfactory
and decided to develop a new questionnaire, the Copenhagen Burnout Inventory. The
purpose of this paper is to present, analyse and discuss this new questionnaire. The full
validation of a questionnaire is a long process, and the present paper merely presents
preliminary analyses.
Why we chose not to use the Maslach Burnout Inventory
According to Schaufeli and Enzmann (1998, p. 71) the Maslach Burnout Inventory (MBI)
has been applied in more than 90% of all empirical burnout studies in the world, which
almost gives the MBI monopoly status in the field (Maslach & Jackson, 1981, 1986). As a
consequence of the dominant position of the MBI, this questionnaire and the Maslach
definition of burnout have become two sides of the same coin: Burnout is what the MBI
measures, and the MBI measures what burnout is. When we started our preparations for
the PUMA study it was therefore a natural choice for us to translate the MBI into Danish in
order to test the questionnaire (together with the Burnout Measure (BM) questionnaire
(Pines, Aronson, & Kafry, 1981; Pines & Aronson, 1988) in a pilot study. During the period
of pilot testing we also studied the burnout literature in order to learn more about burnout
theories and empirical research results. When the pilot study was over we realized that we
could not use the MBI (or the BM) and that we had to create our own burnout measure.
There were six reasons for this choice. Since the MBI is such a popular and widely used
questionnaire we find it necessary to explain in some detail what these reasons were before
we proceed to the presentation of our own burnout questionnaire.
A circular argument? According to the classic definition of Maslach and Jackson (1986,
p. 1) ‘burnout is a syndrome of emotional exhaustion, depersonalisation, and reduced
personal accomplishment that can occur among individuals who do ‘people work’ of some
kind’’. Here, burnout is by definition restricted to employees in the human service sector.
According to Maslach and Jackson (1986), burnout is not only restricted to human service
work, but also caused by factors associated with human service work, in particular the high
emotional load. Furthermore, many of the questions in the (1986) version of the MBI
(which was especially designed for measuring burnout in professions in which contact with
/ clients and patients / constituted a major part of the tasks) are phrased in a way so
that they can only be answered by individuals who do ‘‘people work’’. (‘‘I feel the recipients
blame me ...’, ‘‘I can easily understand how my recipients feel ...’, etc.). Thus, the 1986
version of the MBI can only be applied in human service work. This means that we end up
in a circular argument: The basic assumption (the restriction of burnout to individuals who
The Copenhagen Burnout Inventory 193
do people work) cannot be challenged, and the basic hypothesis (that the emotional
demands inherent in ‘people work’ increases the risk of burnout) cannot be tested, since
the questionnaire cannot be used in an ‘‘unexposed’’ group. From a scientific point of view
such a situation is clearly unacceptable. Since then, Maslach et al. have developed a similar
/ the MBI General Survey (MBI-GS) / which can be applied in all
occupational sectors. We will return to this questionnaire below.
Unclear relationship between the MBI and the concept of burnout? At first glance the MBI and
the Maslach definition of burnout seem to match each other perfectly. The definition
(above) includes three dimensions
/ emotional exhaustion, depersonalisation, and reduced
personal accomplishment
/ and so does the MBI. The operationalisation of burnout is,
however, still unclear to us. According to the definition, burnout is characterized by the
simultaneous occurrence of all three dimensions, but according to the MBI manual the three
dimensions should be measured independently, and they have been confirmed by factor
analyses as three distinct and different dimensions. In the manual it is explicitly stated that
‘the scores for each subscale are considered separately and are not combined into a single,
total score’ (p. 2, italics by the authors). This means that we have one concept but three
independent measures. In the empirical literature this results in analyses where the same
individual is analysed as having three different levels of burnout, one for each of the three
dimensions. Furthermore, each of the dimensions has its own precursors and conse-
quences. Thus, the apparent fine correspondence between concept and measure is not
really present. Finally, it should be noticed that recent studies have suggested that the
dimension of ‘‘Personal Accomplishment’’ may not be part of the total concept of burnout:
‘it becomes increasingly clear from studies with the original MBI that personal
accomplishment develops largely independent from the other two burnout dimensions’’
(Schutte, Toppinen, Kalimo, & Schaufeli, 2000, p. 55).
Mixture of an individual state, a coping strategy, and an effect? To us, the burnout syndrome
as defined by Maslach and Jackson consists of three different components that should not
be combined but studied in their own right. With regard to depersonalisation Maslach has
herself described the process: ‘Our findings to date show that these professional groups
tend to cope with stress by a form of distancing that not only hurts themselves but is
damaging to all of us as their human clients’ (Maslach, 1979, p. 138). Thus,
depersonalisation is a coping strategy developed in a specific situation and should in our
opinion be analysed as such together with other coping strategies and in the light of the
whole literature on coping and stress. With regard to the (feeling of) reduced personal
accomplishment we think that the same logic applies: Reduced accomplishment should be
seen as one of many consequences of long-term stress. We do not gain any insight by reducing
this consequence to being a part of a syndrome. We are not saying that coping strategies and
long-term consequences are not important to study. We are only saying that these important
phenomena should not be hidden as parts of a syndrome.
Unacceptable questions? During our pilot study we tested the MBI and the BM on about
70 human service workers. These respondents first filled in the questionnaires on their own.
They were asked to make a note by all questions that they found difficult to answer or on
which they had other types of comments. During the ensuing interviews the respondents
explained why they had reacted to some of the questions. Almost all negative comments
were directed to the MBI questions. In particular, the questions on depersonalisation (such
as ‘I feel I treat some recipients as if they were impersonal objects’’ and ‘I don’t really
care what happens to some recipients’’) caused very negative reactions
/ sometimes, even
/ from the respondents. Also some of the personal accomplishment questions caused
194 T. S. Kristensen et al.
criticism. A number of these were found to be very American’’. (‘‘I feel I’m positively
influencing other people’s lives through my work’ and ‘I have accomplished many
worthwhile things in this job’’). We were told that this questionnaire ‘‘would never function
in Denmark’’. The translation of questionnaires from one culture (usually the U.S.) to
another is a complicated issue. Very often the main emphasis is put on technical problems
and precise back translations while the issues of cultural, gender, and socio-economic
differences tend to be ignored. For us, the reactions from a group of potential users was an
important reason for not choosing the MBI.
What does MBI-GS measure? In the middle of the 1990s a general questionnaire for
measuring burnout was introduced (Schaufeli, Leiter, Maslach, & Jackson, 1996; Leiter &
Schaufeli, 1996). The MBI-GS was based on the original MBI but the term ‘recipients’
was removed from all questions and a few new questions were added. According to some
authors (e.g. Taris, Schreurs, & Schaufeli, 1999), the MBI-GS exhaustion scale is generic
since the word ‘recipients’ was deleted. It should, however, be noted that the MBI-GS is
not generic in the true sense of the term since all respondents have to do (paid) work in
order to answer the questionnaire. Interestingly enough this applies to all the questions in
the MBI-GS (see Table I). In the MBI-GS the three dimensions have been slightly
renamed. (From emotional exhaustion to exhaustion, from personal accomplishment to
professional efficacy, and from cynicism to depersonalisation). The core question, however,
is: What does the MBI-GS measure? We have not been able to find any (new) definition of
burnout in connection with the presentation of the new questionnaire. In most papers the
authors simply write that it was made because there was a ‘demand’ for it. For example,
Maslach, Schaufeli, and Leiter (2001, p. 402) write that they developed the new version of
the MBI because of ‘the increasing interest in burnout within occupations that are not so
clearly people-oriented’’. And: ‘The MBI assesses the same three dimensions as the
original measure, using slightly revised items, and maintains a consistent factor structure
across a variety of occupations’’. It is difficult to understand how a questionnaire with 16
questions related to the domain of paid work (MBI-GS) can measure ‘the same’ as a
questionnaire with 9 questions related to ‘recipients’’, 9 to work, and 4 to individual
symptoms (MBI) (see Table I). Another disturbing issue is the theoretical: In most of the
literature relating to 20 years of research on burnout, Maslach and many others have
maintained the central message: That burnout is specific to the human service sector
Table I. The distribution of questions from the MBI, the MBI-GS, and the BM on the three domains: All persons,
persons who do paid work, and persons who work with clients.
Domain and number of questions
Questionnaire: Personal Work Clients
MBI (EE) 1 6 2
MBI-GS (E) 5
MBI (PA) 2 2 4
MBI (DP) 1 1 3
BM 21
MBI: Maslach Burnout Inventory. MBI-GS: MBI-General Survey. BM: Burnout Measure. EE: Emotional
Exhaustion. E: Exhaustion. PA: Personal Accomplishment. PE: Professional Efficacy. DP: Depersonalisation. CY:
The Copenhagen Burnout Inventory 195
(‘‘people work’’). This basic theoretical position has, to our knowledge, not been withdrawn
or reformulated. In one paper Schutte, Toppinen, Kalimo, and Schaufeli (2000, p. 54)
comment briefly on the issue. They write that the MBI-GS measures ‘‘burnout’
/ a mental
condition that is similar but not identical to the classical definition of the syndrome’’. This
seems to be as close as we can get to a definition of the new concept of burnout.
Public domain? The three MBI questionnaires (including the MBI-ES, for teachers) are
not in the public domain but distributed by a commercial company. This means that the full
questionnaires with response options are not available in normal scientific journal articles.
At the NIOH in Copenhagen we have the policy of exchanging questionnaires and other
pieces of information to all interested persons free of charge since these instruments have
been developed with public money. For this reason we would not have been able to use the
MBI questionnaires
/ even if we had wanted to do so.
The MBI and various issues concerned with the concept and measurement of burnout
are discussed further in commentaries by Schaufeli and Taris (2005), Shirom (2005) and
Sonnentag (2005).
The Copenhagen Burnout Inventory
The basic structure of the CBI. We fully acknowledge the importance of studying the possible
psychological and health consequences of human service work and of the international
literature on burnout, but we found it necessary to develop a new burnout questionnaire as
a logical consequence of the considerations above. Our main ambition was to remain within
the general frame of reference of the burnout research, but at the same time to avoid the
described pitfalls. The result was the Copenhagen Burnout Inventory (CBI), a ques-
tionnaire with three sub-dimensions: Personal burnout, work-related burnout, and client-
related burnout. The three separate parts of the questionnaire were designed to be applied
in different domains. The questions on personal burnout were formulated in a way so that
all human beings can answer them (a truly generic scale). The work-related burnout
questions assume that the respondent has paid work of some kind. Finally, the client-related
burnout questions include the term ‘client’ (or a similar term when appropriate such as
patient, student, inmate, etc.). In our theoretical work we distinguish between working with
clients, customers, and colleagues. We have not developed specific questionnaires for work
with customers or colleagues yet but may do so in the future.
Theoretical considerations. In the CBI the core of burnout is fatigue and exhaustion . This is in
accordance with the historical development of the burnout concept, and also with a recent
definition by one of the leading researchers in the field, Schaufeli. In 2001, Schaufeli and
Greenglass defined burnout as ‘a state of physical, emotional and mental exhaustion that
results from long-term involvement in work situations that are emotionally demanding’
(Schaufeli & Greenglass, 2001, p. 501). Interestingly, this definition is almost identical to
the definition by Pines and Aronson from 1988: ‘A state of physical and emotional
exhaustion caused by long-term involvement in situations that are emotionally demanding’’
(Pines & Aronson, 1988, p. 9). Also Shirom, another central figure in burnout research,
emphasized that fatigue and exhaustion should be considered to be the central features of
the concept: ‘Specifically, burnout refers to a combination of physical fatigue, emotional
exhaustion, and cognitive weariness (Shirom, 1989, p. 33). While ‘the flat battery’
remains the main metaphor for burnout, it is important to emphasize that burnout is not
just fatigue or exhaustion. If this were the case we would not need the concept at all. In our
196 T. S. Kristensen et al.
understanding of the concept the additional key feature is the attribution of fatigue and
exhaustion to specific domains or spheres in the person’s life. One such domain is work and
a more specific domain is client work. In the following we elaborate further on the three
parts of the CBI.
The generic part: Personal burnout. By creating a scale on personal burnout we wanted to
make sure that we were able to compare individuals regardless of occupational status (e.g.
also young people, unemployed, early retired, pensioners, etc.). This scale is intended to
answer the simple question: How tired or exhausted are you? It was our intention to create a
scale that is sensitive at ‘the negative end’’, e.g. among persons with a relatively high level of
fatigue or exhaustion. This generic part of the CBI might as well be called fatigue,
exhaustion or any other similar term. We have kept the term ‘burnout’ in order to signal
that the scale is part of CBI. The personal burnout dimension is defined in the following
way: Personal burnout is the degree of physical and psychological fatigue and exhaustion
experienced by the person’’. Thus, we make no attempt to distinguish between physical and
psychological fatigue or exhaustion.
Work-related burnout. We define work-related burnout as The degree of physical and
psychological fatigue and exhaustion that is perceived by the person as related to his/her work’’. In
this definition we stress the fact that we want to focus on the person’s own attribution of
symptoms to her/his work. Thus, we are not intending to assess causality in the scientific
sense of the term. It is well known that people can attribute symptoms to their work without
good ‘scientific’ reason and vice versa. By comparing the scale for personal burnout
with the scale for work-related burnout we will be able to identify persons who are tired but
who attribute the fatigue to non-work factors such as, e.g. health problems or family
Client-related burnout is defined as follows: The degree of physical and psychological fatigue
and exhaustion that is perceived by the person as related to his/her work with clients ’. Again:
people can attribute their fatigue to factors other than their work with clients. What we are
interested in here is the degree to which people see a connection between their fatigue and
their ‘‘people work’’. ‘‘Clients’’ is a broad concept covering terms such as patients, inmates,
children, students, residents, etc. When the CBI is used in practice, the term appropriate
for the specific group of respondents is used.
Schemata, causal attribution, and situational models of disease. In our development of the
two dimensions, work-related burnout and client-related burnout, we have built on a
number of theories about the ways in which people perceive, understand, and interpret their
own psychological and somatic symptoms. These theories deal with schemata, causal
attributions and the situational aspects of illness. We will briefly explain why we used these
Schemata and causal attributions. When people experience symptoms such as, e.g.
headache, nausea, coughs, pain in the chest, or prolonged fatigue, they usually do not just
notice the symptoms without giving them further attention. People try to explain and
understand their symptoms in the light of already existing schemata (Bishop, 1991; Eysenck
& Keane, 1990). A schemata is a frame of reference for understanding symptoms, which is
typical for the person but influenced by the person’s social role and position and by the
whole culture of society.
A central feature in connection with schemata for symptoms is causal attribution. People
engage in attributional analyses because they need to understand, predict, and control what
goes on in their lives (Weary & Reich, 2000). When it comes to symptoms and diseases that
may be difficult or impossible to control, people will try to understand why they got the
The Copenhagen Burnout Inventory 197
symptom or disease. Attributions may identify internal or external factors. Other important
dimensions are stable vs. unstable factors, global vs. specific factors, and controllable vs.
uncontrollable factors. The ‘same’ symptom can be interpreted in several different ways
depending on the circumstances. An example: If a person wakes up with a serious
headache, the person may interpret the symptom in the light of the party the previous night
with too many drinks combined with too few hours of sleep. In that case a couple of pills
might be seen as the solution. If, however, the person wakes up with headache several
mornings in a row without having enjoyed alcohol, the person might become worried.
According to the schemata of this person, a cancer in the brain could be one of the
explanations. A third person with repetitive headache might interpret the headache as
‘tension headache and relate the symptom to the monotonous fast paced work at the
assembly line. Schemata and causal attributions are important because they not only shape
what people think but also their emotions, attitudes and actions.
In connection with the issues of schemata and causal attributions it is important to
acknowledge that burnout research is in itself influencing the very phenomenon being
studied. The more the results of burnout research are communicated to the human service
workers, the more they will tend to see burnout as a perhaps unavoidable consequence of
their work. When we started the PUMA study we made an interesting observation relating
to this question. Many participants in the study asked us why we were doing another
burnout study since it was already well established that working with clients results in
burnout. Everyone was very surprised to learn that Denmark probably was the only Western
country where no burnout studies had ever been performed. It was an ‘established fact’
among Danish human service workers that burnout is a very great problem causing early
retirement as well as serious recruitment problems for several occupational sectors (nurses,
school teachers, home helpers).
A situational model of illness. Alonzo has suggested a situational model of illness,
describing how people attempt to interpret, evaluate and cope with symptoms in their
daily lives (Alonzo, 1979). Examples of such symptoms and illnesses could be muscu-
loskeletal disorders, allergies, chronic fatigue, and diabetes. Such everyday illnesses are,
with the expression of Alonzo, ‘containable’ within everyday social situations. These
illnesses will typically not be of the type we die from, but of the type we live with. The
person with the illness will often become an ‘‘expert’ on his or her own symptoms. They
will learn how the symptoms are influenced by climate, food, drinking alcohol or coffee,
stress, too little sleep, or too much/too little exercise. In this way the person learns how to
influence the illness and how to avoid being unnecessarily limited in their daily activities.
The illness shifts from being a random case of a disease (the biomedical model) to being a
unique phenomenon: the very illness of Mr. Smith or Mrs. Jensen.
According to Alonzo, ‘there is a need to ask how individuals actually manage health
status deviations in everyday typical social situations, not how they think they would
manage them. By using this approach we may begin to understand the lower part of the
illness iceberg’ (Alonzo, 1979, p. 403). Applying this way of thinking to the burnout
phenomenon we need to study how people live with their different degrees of burnout in
their daily lives. Do they experience very tight limits with regards to performance,
productivity and absence at their workplaces? If so, what are the consequences in the
long run for the person themselves, for the family, and for the worksite? How do people with
high degrees of burnout cope with their symptoms? Do they take more medicine, do they
talk with others about their problems, or do they try to cope in more passive and defensive
ways? The situational model emphasizes that an illness is not a static phenomenon. Often
198 T. S. Kristensen et al.
the severity and consequences for the person will change over time, and the course of the
illness can be influenced by the person. In connection with burnout this is a very important
point since a number of studies indicate that although the degree of burnout is relatively
stable over time, many respondents do report changes, and many report change to the
better. Hence, burnout is not an unavoidable and negative process going from bad to worse.
In this respect the term ‘‘burnout’ is rather misleading since it signals a one-way process.
Population and methods
In this paper we present the CBI by analyzing baseline and follow-up data from the ongoing
PUMA study. PUMA is a five-year prospective intervention study of employees working in
the human service sector. The study design is presented in detail elsewhere (Borritz et al., in
press, a). Briefly, the baseline study comprised 1914 participants from seven different types
of workplaces (number of respondents at baseline in parentheses):
1. A state psychiatric prison (196);
2. Social welfare offices of a large town (379);
3. Wards in a county somatic hospital (413);
4. A psychiatric ward in the same county (43);
5. Institutions for severely disabled in a county (307);
6. Homecare service in the capital (284);
7. Home care service in a provincial town (292).
The response rate was 80%, and 83% were women. At the first follow-up after 3 years there
were 1759 respondents (response rate 75%). Of these respondents 1024 persons filled in
the questionnaire at both points in time. The second follow-up has not taken place yet.
The PUMA questionnaire contained questions on psychosocial factors at work, family
work interface, absence from work, use of medicine, health and well-being, specific job
titles, sociodemographic factors, and life style. Most of the questions on psychosocial
factors at work were taken from the Copenhagen Psychosocial Questionnaire (COPSOQ)
(Kristensen, Borg, & Hannerz, 2002; Kristensen, Bjorner, Christensen, & Borg, 2004).
These questions measure the following dimensions: Quantitative demands, emotional
demands, demands for hiding emotions, cognitive demands, influence at work, possibilities
for development, meaning of work, commitment to the workplace, quality of leadership,
feedback, predictability, role clarity, role conflicts, social support, social relations, sense of
community, job satisfaction, and job insecurity. Also, a number of scales on health and well-
being were included: the General health, Mental health, and Vitality scales from the Short
Form 36 (SF-36) questionnaire (Ware, Snow, Kosinski, & Gandek, 1993). In the follow-up
study we included the Karolinska Sleep Questionnaire (A
kerstedt, Knutsson, Westerholm,
Theorell, & Alfredsson, 2002) and a question on intention to quit.
The questions and the basic characteristics of the three CBI scales are shown in Table II.
The questions on personal burnout are inspired by the BM questionnaire, but in the CBI
the wording and the response options are different. The questions in the scale for work-
related burnout are inspired by the subscale on emotional exhaustion of the MBI/MBI-GS
questionnaires, with the exception of the item on energy for family and friends. The
questions on client-related burnout were formulated by us (TSK and MB). The Cronbach’s
The Copenhagen Burnout Inventory 199
Table II. Copenhagen Burnout Inventory (CBI). Scales, items and response frequencies.
Response category and scoring:
To a very
high degree
(Scoring 100)
To a high degree
(Scoring 75)
(Scoring 50)
To a low degree
(Scoring 25)
almost never
or To a very
low degree
(Scoring 0)
Personal burnout (a 0.87) (N
How often do you feel tired?
2.6 27.6 49.4 17.9 2.5 24 52.5 (20.2)
How often are you physically exhausted?
0.5 15.0 40.6 37.3 6.5 19 41.5 (20.7)
How often are you emotionally exhausted?
0.5 11.7 37.3 38.9 11.6 17 37.7 (21.6)
How often do you think: ’’I can’t take it anymore’’?
0.3 5.4 18.6 39.3 36.4 19 23.5 (22.2)
How often do you feel worn out?
0.5 12.4 35.7 38.4 13.0 19 37.3 (22.2)
How often do you feel weak and susceptible to illness?
0.5 3.6 16.8 44.7 34.4 19 22.8 (20.8)
Total average score 35.9 (16.5)
Work-related burnout (a 0.87) (N
Do you feel worn out at the end of the working day?
4.7 23.1 40.5 22.1 9.6 14 47.8 (25.2)
Are you exhausted in the morning at the thought of
another day at work?
0.8 5.6 24.1 34.2 35.3 12 25.6 (23.6)
Do you feel that every working hour is tiring for you?
0.3 2.1 12.1 36.9 48.7 17 17.1 (19.6)
Do you have enough energy for family and friends during
leisure time?
(inverse scoring)
26.5 40.6 27.5 4.9 0.4 15 28.0 (21.8)
Is your work emotionally exhausting?
4.9 13.3 43.1 29.5 9.1 15 43.9 (24.1)
Does your work frustrate you?
3.8 10.5 36.9 33.9 14.9 24 38.6 (24.8)
Do you feel burnt out because of your work?
3.5 7.3 27.5 36.4 25.2 19 31.9 (25.8)
Total average score 33.0 (17.7)
Client-related burnout (a 0.85) (N
Do you find it hard to work with clients?
1.7 8.5 35.8 35.6 18.5 22 34.9 (23.5)
Does it drain your energy to work with clients?
3.3 8.4 35.5 37.3 15.5 19 36.7 (24.1)
Do you find it frustrating to work with clients?
0.7 3.0 20.7 43.5 31.9 18 24.3 (21.1)
Do you feel that you give more than you get back when
you work with clients?
4.7 3.9 32.8 32.7 15.9 39.8 (26.5)
Are you tired of working with clients?
0.3 2.2 22.3 40.7 34.4 16 23.4 (20.7)
Do you sometimes wonder how long you will be able to
continue working with clients?
0.6 5.8 26.0 35.4 32.1 18 26.9 (23.3)
Total average score 30.9 (17.6)
Possible score range for all scales is 0 /100. a. Response categories for items denoted with
. b. Response categories for items denoted with
200 T. S. Kristensen et al.
alphas for internal reliability are very high (.85/.87). All the scales are positively skewed,
indicating that most of the respondents used the response categories corresponding to low
burnout levels. The proportion of non-responders on the individual items was below 2% for
all items. Please note that the scale on client burnout is only defined for those respondents
who worked with clients. (We excluded 146 respondents who answered ‘Never or almost
never’ to the question: ‘‘How much direct contact do you have with clients during a normal
working week?’ In the specific questionnaires we used the words ‘patients’’, ‘inmates’’,
‘citizens’’, or ‘‘clients’’ depending on the specific sector.) We used two formats for response
options, one for intensity (from ‘a very high degree’ to ‘a very low degree’’) and the other for
frequency (from ‘always’’ to ‘‘never/almost never’’). We used the response options with the
best fit to the content of the respective question. In all cases we used five response options.
We chose to key all the items (except one) in the same direction instead of having some
‘positive’ and some ‘negative’ items. We did this for a number of reasons: First, we
wanted to avoid the problem of wrong answers from respondents with stereotyped response
patterns. Second, a ‘‘positive’’ and a ‘‘negative’ scale may measure two different underlying
dimensions. Third, we wanted the items to focus on the phenomenon being measured,
burnout. Fourth, we preferred a response situation without double negations (answering
‘no’ or ‘never’’ to a negative question).
Table III shows the average scores of the three CBI scales for the 15 main jobs in the
PUMA database. The table shows considerable variation between jobs, with the highest
overall burnout levels being among midwives and home helpers in the capital and low levels
among chief doctors and head nurses. As a general rule of thumb, differences of 5 points or
more are significant for the individuals in question. This means that the differences we see
in this table of 15
/20 points from the top level to the bottom are substantial, and they are
also substantial for the individual employee.
Also, the table shows that some jobs had similar levels (ranks) on all three scales. For
example, midwives and home helpers in the capital had high scores on all three scales, while
Table III. The average scores on the CBI burnout scales for the 15 main jobs in the PUMA baseline study.
Personal burnout Work-related burnout Client-related burnout
Job Score Job Score Job Score
1. Midwives 44.7 Midwives 43.5 Prison wards 41.2
2. Home helps (Cap.) 43.1 Home helps (Cap.) 41.8 Midwives 38.4
3. Hosp. secretaries 39.4 Hospital doctors 39.8 Home helps (Cap.) 35.9
4. Social workers 38.8 Hospital secretaries 37.8 Social care workers 34.1
5. Social care workers 38.7 Ass. nurses 36.1 Social workers 33.1
6. District nurses 38.4 Social workers 35.8 Ass. nurses 31.4
7. Ass. nurses 37.9 Nurses 35.0 Nurses 29.7
8. Nurses 36.9 Social care workers 34.6 Supervisors 26.8
9. Hospital doctors 36.6 Prison wards 32.6 Hospital doctors 26.7
10. Adm. Staff 35.0 District nurses 31.4 Adm. Staff 26.3
11. Prison wards 33.0 Adm. staff 29.8 Home helps (Pr.) 26.2
12. Home helps (Pr.) 32.6 Chief doctors 29.2 Chief doctors 25.8
13. Chief doctors 31.3 Head nurses 28.8 District nurses 25.3
14. Supervisors 30.8 Supervisors 27.9 Hospital secretaries 21.4
15. Head nurses 29.5 Home helps (Pr.) 26.4 Head nurses 19.7
Average 35.9 Average 33.0 Average 30.9
/20 /264 for the individual jobs. Possible score range for all scales is 0 /100.
Cap./Capital. Pr./Province.
The Copenhagen Burnout Inventory 201
nurses and assistant nurses consistently had middle positions. On the other hand, some jobs
had high values on one or two scales and low values on one or two scales. This applies to
hospital doctors (high on work-related burnout), hospital secretaries (low on client-related
burnout), and prison warders (high on client-related burnout). There was an overall
tendency for the jobs in the hospital sector to have relatively higher values on work-related
burnout than on client-related burnout.
The correlations between the three CBI scales and the three measures of health status from
the SF-36 instrument are shown in Table IV. A priori, we expected a clear pattern, with the
highest correlations being with personal burnout and the lowest with client-related burnout,
since the scale on personal burnout is the most generic and the scale on client-related
burnout the most specific. Also, we expected the highest correlations to be with the vitality
scale and the lowest with the general health scale. This expectation is based on the fact that
the vitality scale is an ‘inverted fatigue scale’’ while the scale on general health includes not
only fatigue and psychological health but also somatic and other general symptoms and
complaints. The table shows that all of these expectations were met in the PUMA study. The
highest correlation was between personal burnout and vitality (
/.75) while the lowest was
between client burnout and general health (
/.34). At baseline the correlations between the
three CBI scales were .72, .46, and .61. These correlations varied considerably between the
types of workplaces. For instance, the correlations between work-related and client-related
burnout varied from .36 (social welfare offices) to .55 (prison officers).
Table IV also shows the correlations between the burnout measures at baseline and at
follow-up after 3 years. These correlations show a very consistent pattern. The three scales
have correlations above .50 between time 1 and time 2, while the remaining correlations
over time are in the interval .30
/.50. These correlations suggest that many employees
change burnout levels over time. Among the 1024 employees who took part in the baseline
as well as the follow-up survey 35% reported higher personal burnout levels at time 2
(at least 5 points’ increase), 38% about the same level, and 27% lower burnout level
(at least 5 points’ decrease). For work-related burnout the corresponding proportions were
Table IV. Correlations between the three-burnout scales and the three SF-36 scales at baseline, and between the
three burnout scales at baseline and at 3 years of follow-up in the PUMA study.
CBI burnout scales at baseline
Personal burnout Work-related burnout Client-related burnout
SF-36 scales:
/.75 /.72 /.46
Mental health
/.67 /.64 /.39
General health
/.49 /.43 /.34
CBI burnout scales at baseline:
Work-related burnout .72
/ /
Client-related burnout .46 .61 /
CBI burnout scales at follow-up:
Personal burnout .54 .47 .35
Work-related burnout .43 .51 .39
Client-related burnout .34 .39 .59
Spearman rank correlations. All correlations: p B
/.001. Correlations in bold are correlations between the same scale
at two points in time.
N/1725 /1891 for the SF-36 scales, 1738 /1896 for the CBI scales at baseline, and 887 /1018 for CBI at
202 T. S. Kristensen et al.
46%, 28%, and 27%, and for client-related burnout 34%, 35%, and 31%. Thus, there was
a marked deterioration with regard to work-related burnout during the three years of
We also studied the correlations between burnout at time 1 and 2 at the level of the jobs
described in Table III. This analysis revealed an interesting picture. Correlations between
job average burnout levels at time 1 and 2 were .71 for personal burnout, .48 for work-
related burnout, and .71 for client-related burnout. The substantial difference between
work-related and client-related burnout may reflect the fact that large changes in work
organisation took place at many worksites while the constant feature was the degree and
type of client-contact.
Table V shows the clear associations between client-related burnout at baseline and two
other variables: Job satisfaction, and the percentage who would choose the same job again if
they had the choice. In both cases the associations are clear and strong. Among the quartile
with the highest burnout level only 40% would choose the same job again. Similar pictures
were found for the other two burnout measures (not shown).
In Table VI we show results related to the predictive validity of the CBI scales. The table
shows the associations between work-related burnout at baseline and a number of variables
at follow-up: Sickness days, sickness spells, sleep problems, use of pain-killers, and
intention to quit the workplace. All associations are strong and in the expected direction.
Again, similar pictures were found for the other burnout measures.
We also analysed the associations between changes in burnout and absence days. For the
whole population, absence days went up by 23% from time 1 to time 2. In the group with
increasing work-related burnout, absence days increased by 54%, while the group with
decreasing burnout level experienced a decrease in absence days of 22%. The two constant
groups had increases close to the average for the whole group (19
/28%). These results
indicate not only that burnout levels were associated with absence levels but also that changes
in burnout over time were associated with corresponding changes in absence. The associations
between burnout and (changes in) absence are further analysed in another article based on the
PUMA study (Borritz, Rugulies, Christensen, Villadsen, & Kristensen, in press, b).
In this paper we have presented the CBI and analysed the methodological qualities of the
CBI scales in using the PUMA data material. The PUMA study has a number of
advantages of relevance in this connection:
Table V. Associations between client-related burnout and other variables at baseline.
Client-related burnout (quartiles)
Lowest Highest
1 2 3 4 Total P -value
Job satisfaction (score) 68.4 64.0 61.2 55.1 62.5 ***
Percentage who would choose the same job again 81% 78% 63% 40% 66% ***
N/1735 and 1712. *** pB/ .001.
Regression analysis test for trend.
Cochran-Armitage’s test for trend.
The Copenhagen Burnout Inventory 203
1. It is a comprehensive study including a large number of psychosocial work
environment factors measured with the COPSOQ scales.
2. The study includes a number of different jobs with varying degrees and types of client-
3. It is a prospective study with a satisfactory response rate.
The validation and evaluation of a new questionnaire is a long process, including not only
statistical analyses but also the use of the questionnaire in surveys, intervention studies, and
collaboration with workplaces. All these activities are ongoing at NIOH in Copenhagen. At
present we restrict ourselves to the statistical analyses presented above.
Table II shows that the CBI scales have high internal reliability and that the non-response
rates on the individual items are low. Our feedback from the respondents supports this
picture: The questions are easy to understand and to answer, and the scales have high face
validity. The criterion validity is demonstrated in Table IV, showing the highest correlation
(convergent validity) between personal burnout and the vitality scale from the SF-36
questionnaire and the lowest (divergent validity) between general health and client-related
burnout. From a strictly theoretical point of view the vitality scale and the personal burnout
scale measure the ‘same’ phenomenon, which is supported by the very high correlation
between the two scales.
The ability of the CBI scales to discriminate between jobs is demonstrated in Table III.
Employees in different jobs in the PUMA study have very different burnout levels. As
mentioned, we consider a difference of five points on the burnout scales as ‘‘significant’’ for
the individual person. Thus, the tables show very different levels from the highest to the
lowest groups. The table also demonstrates the differential picture painted by the three
different scales. The fact that some jobs have high scores on one scale and relatively low
scores on another gives further information about the conditions of the job. An example is
prison warders, who had a high score on client-related burnout but lower scores on work-
related burnout. The hospital-based jobs tend to display the opposite picture. Results from
the PUMA study, published elsewhere, on the prospective predictors of burnout (Borritz,
et al., in press) support the differential picture with regard to the three CBI scales. While
some psychosocial factors such as emotional demands at work and role conflicts, predicted
all three CBI scales, other factors only predicted one or two of the CBI scales. Examples
Table VI. Associations between work-related burnout at baseline and a number of variables at three years’ follow-
Work-related burnout (quartiles)
Lowest Highest
Variable at follow-up: 1 2 3 4 Total P -value
Sickness days per year (average) 6.9 8.2 13.0 13.0 10.3 ***
Sickness spells per year (average) 1.5 1.4 2.1 2.4 1.8 ***
Sleep problems (average score) 25.1 32.6 34.4 44.6 34.1 ***
Use of pain-killers every week 18% 22% 27% 38% 26% ***
Intention to quit work (definitely or perhaps) 45% 46% 57% 65% 53% ***
N/982 / 985 for sickness days/spells, and 1012 /1015 for the remaining three variables.
*** p B/ .001.
Regression analysis test for trend.
Cochran-Armitage’s test for trend.
204 T. S. Kristensen et al.
were demands for hiding emotions (client-related burnout), high work pace (work-related
burnout), and role clarity (personal and client-related burnout).
The concurrent and predictive validity of the burnout scales are elucidated in Tables V
and VI. These analyses show substantial associations with job satisfaction at baseline and
with sickness absence, sleep problems, use of medicine, and intention to quit three years
later. The strong association between burnout and sleep problems is particularly noteworthy
since fatigue/burnout and poor sleep have been shown to predict cardiovascular diseases and
mortality (Prescott, et al., 2003; van Amelsvoort, Kant, Bu
ltmann, & Swaen, 2003).
Our results also show that the burnout levels of individuals change substantially over time.
This indicates that the CBI scales do not measure stable traits of the individuals but degrees
of burnout that may change over time. Even at job level we were able to demonstrate
substantial changes with regard to work-related burnout (but not for the other two scales),
which may be an indicator of the substantial organisational changes taking place at the
participating workplaces.
All in all, we find the results of these analyses encouraging. We have not tried to validate
the three CBI scales through factor analyses, and we do not think that this would have been
meaningful. Such analyses would presumably not identify the three scales in the present
data set of human service workers. The rationale for having three distinct scales is not
statistical but theoretical and methodological. Most importantly, the three scales can be
used in different domains (all persons, persons who work, and persons who do client-work).
This means that the three scales can be used independently in accordance with the
populations being studied and the theoretical questions being elucidated. In many concrete
studies it would be meaningful to use only one or two of the scales.
Another reason for using three scales with different domains is that the content of the items
differ. Researchers often focus on the scale values and tend to forget the items behind them.
But in the feedback to the workplaces and in the interpretation of the results the actual
answers to the questions carry much more meaning and information. While a scale value of,
e.g. 25 is without much meaning in itself, it is relevant to know the proportion of employees
who are ‘tired of working with clients’ or who are ‘exhausted by the end of the working
day’’. In connection with our collaboration with the workplaces in the PUMA study we have
experienced an overwhelming interest in the response patterns to the individual questions in
all three scales.
We find that the CBI has solved most of the important problems, discussed in the
introduction to this paper, in connection with the widely used MBI. Many users of the MBI
probably will feel that we have ‘lost something’’, since the CBI does not include
depersonalisation/cynicism and reduced personal accomplishment. It should, however, be
emphasized that the use of the CBI does not preclude the use of scales measuring these
phenomena. Our point is that depersonalisation and personal accomplishment should be
measured, analyzed and understood as distinct phenomena, which are important in
themselves, and not part of a ‘syndrome’’.
The CBI has been translated into a number of languages (English, Japanese, Mandarin,
Cantonese, Swedish, Finnish, French, Slovenian) and is currently being used in many
countries. The acceptability and validity of the CBI in different cultures remains to be
elucidated in further research. So far, some of the CBI-users have compared the CBI with
the MBI with very encouraging results. In Japan, Odagiri found significant associations
between burnout measured with the CBI and high efforts and overcommitment (Odagiri,
Shimomitsu, Ohya, & Kristensen, 2004). In an Australian study on burnout among dentists
Winwood and Winefield compared the CBI with the MBI and concluded that ‘the CBI
The Copenhagen Burnout Inventory 205
possesses excellent psychometric properties and seems to be an appropriate measure of
burnout in populations of health professionals’ (Winnwood & Winefield, 2004, p. 282).
Hopefully, future international collaboration will further elucidate the potential of the CBI
in research on burnout.
The names of contact persons for information on the use of the CBI in Japan, Hong Kong,
Taiwan, Sweden, Finland, UK, Slovenia and Canada can be provided by the first author.
The PUMA study was supported by the Danish Work Environment Fund, the Danish Work
Environment Service, the Work Environment Council, and the Health Insurance Founda-
kerstedt, T., Knutsson, A., Westerholm, P., Theorell, T., Alfredsson, L., & Kecklund, G. (2002). Sleep
disturbances, work stress, and work hours
/ a cross sectional study. Journal of Psychosomatic Research , 53, 741 /
Alonzo, A. A. (1979). Everyday illness behavior: a situational approach to health status deviations. Social Science
and Medicine , 13A , 397
Bishop, G. D. (1991). Understanding the understanding of illness: Lay disease representations. In J. A. Skelton, &
R. T. Croyle (Eds), Mental representations in health and illness (pp. 32/59). New York: Springer-Verlag.
Borritz, M., Rugulies, R., Bjorner, J. B., Villadsen, E., Mikkelsen O. A., & Kristensen, T. S. (in press, a). Burnout
among employees in human service work: design and baseline findings from the PUMA study. Scandinavian
Journal of Public Health .
Borritz, M., Rugulies, R., Christensen, K. B., Villadsen, E., & Kristensen, T. S. (in press, b). Burnout as a
predictor of sickness absence: prospective findings from 3-year follow-up of the PUMA study. Occupational and
Environmental Medicine .
Borritz, M., Bu
ltmann, U., Rugulies, R., Christensen, K.B., Villadsen, E., & Kristensen, T. S. (in press, c).
Psychosocial work characteristics as predictors for burnout: findings from 3-year follow-up of the PUMA study.
Journal of Occupational and Environmental Medicine .
Eysenck, M. W., & Keane, M. T. (1990). Cognitive psychology: A student’s handbook . Hillsdale: Lawrence Erlbaum
Freudenberger, H. J. (1974). Staff burn-out. Journal of Social Issues , 30 , 159
Kristensen, T. S., Borg, V., & Hannerz, H. (2002). Socioeconomic status and psychosocial work environment:
results from a Danish national study. Scandinavian Journal of Public Health , 30,41
Kristensen, T. S., Bjorner, J. B., Christensen, K. B., & Borg, V. (2004). The distinction between work pace and
working hours in the measurement of quantitative demands at work. Work & Stress , 18, 305/22.
Leiter, M. P., & Schaufeli, W. B. (1996). Consistency of the burnout construct across occupations. Anxiety, Stress
and Coping, 9 , 229
Maslach, C. (1976). Burned-out. Human Behavior , 5 ,16
Maslach, C. (1979). Udbrændthedssyndromet. (The burnout syndrome). Dansk Psykolognyt , 33 , 138
Maslach, C., & Jackson, S. E. (1981). The measurement of experienced burnout. Journal of Occupational
Behaviour , 2 ,99/113.
Maslach, C., & Jackson, S. E. (1986). Maslach Burnout Inventory manual. Second edition. Palo Alto, CA: Consulting
Psychologists Press.
Maslach, C., & Leiter, M. P. (1997). The truth about burnout . San Francisco: Jossey-Bass Publishers.
Maslach, C., Schaufeli, W. B., & Leiter, M. P. (2001). Job burnout. Annual Review of Psychology, 52 , 397
Odagiri, Y., Shimomitsu, T., Ohya, Y., & Kristensen, T. S. (2004). Overcommitment and high effort are strongly
associated with burnout among Japanese nurses. International Journal of Behavioral Medicine , 11, Suppl., p. 214.
Pines, A., & Aronson, E. (1988). Career burnout: Causes and cures. New York: The Free Press.
Pines, A., Aronson, E., & Kafry, D. (1981). Burnout: From tedium to personal growth . New York: The Free Press.
206 T. S. Kristensen et al.
Prescott, E., Holst, C., Grønbæk, M., Schnohr, P., Jensen, G., & Barefoot, J. (2003). Vital exhaustion as a risk
factor for ischaemic heart disease and all-cause mortality in a community sample. A prospective study of 4084
men and 5479 women in the Copenhagen City Heart Study. International Journal of Epidemiology, 32 , 990
Schaufeli, W. B., & Enzmann, D. (1998). The burnout companion to study and practice: A critical analysis (p. 1998).
London: Taylor & Francis.
Schaufeli, W. B., & Greenglass, E. R. (2001). Introduction to special issue on burnout and health. Psychology and
Health , 16 , 501
Schaufeli, W. B., Leiter, M. P., Maslach, C., & Jackson, S. E. (1996). The Maslach Burnout Inventory / General
Survey (MBI-GS). In C. Maslach, S. E. Jackson, & M. P. Leiter (Eds), Maslach Burnout Inventory manual (third
edition) (pp. 19 /26). Palo Alto, CA: Consulting Psychologists Press.
Schaufeli, W. B., Maslach, C., & Marek, T. (1993). Professional burnout. Recent developments in theory and research .
Washington, D. C.: Taylor & Francis.
Schaufeli, W. B., & Taris, T. W. (2005). Commentary: The conceptualization and measurement of burnout:
Common ground and worlds apart. Work & Stress , 19 , 256
Schutte, N., Toppinen, S., Kalimo, R., & Schaufeli, W. (2000). The factorial validity of the Maslach Burnout
/ General Survey (MBI-GS) across occupational groups. Journal of Occupational and Organizational
Psychology, 73 ,53
Shirom, A. (1989). Burnout in work organizations. In C. L. Cooper, & I. T. Robertson (Eds), International review of
industrial and organizational psychology (pp. 25 /48). New York: Wiley.
Shirom, A. (2005). Commentary: Reflections on the study of burnout. Work & Stress , 19, 263/270.
Sonnentag, S. (2005). Commentary: Burnout research: Adding an off-work and day-level perspective. Work &
Stress , 19 , 271
Taris, T. W., Schreurs, P. J. G., & Schaufeli, W. B. (1999). Construct validity of the Maslach Burnout Inventory /
General Survey: a two-sample examination of its factor structure and correlates. Work and Stress, 13, 223/37.
Van Amelsvoort, L. G. P. M., Kant, I.J., Bu
ltmann, U., & Swaen, G. M. H. (2003). Need for recovery after work
and the subsequent risk of cardiovascular disease in a working population. Occupational and Environmental
Medicine, (Suppl I) , 60 (Supp I), 83
Ware, J. E., Snow, K. K., Kosinski, M., & Gandek, B. (1993). SF-36 health survey. Manual and interpretation guide .
Boston: The Health Institute, New England Medical Center.
Weary, G., & Reich, D. A. (2000). Attribution theories. In A. E. Kazdin (Ed.), Encyclopedia of psychology (pp. 320
325). Oxford: Oxford University Press.
Winwood, P., & Winefield, A. H. (2004). Comparing two measures of burnout among dentists in Australia.
International Journal of Stress Management, 11, 282/89.
The Copenhagen Burnout Inventory 207
... The CBI consists of three sub-scales measuring personal burnout, work-related burnout, and client-related burnout for use in different domains [23]. All three sub-scales were rated using a five-point Likert scale. ...
... All three sub-scales were rated using a five-point Likert scale. The scales differentiated well between occupational groups in the human service sector, and correlations with other measures of fatigue and psychological well-being can be found [23]. Furthermore, the three sub-scales predicted future sickness absence, sleep problems, use of analgesics, and intention to quit. ...
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The third wave of COVID-19 in Malaysia has significantly strained the healthcare system of the country and increased the level of burnout among the healthcare workers (HCWs) in the country. Therefore, this study aimed to identify the various factors associated with burnout among HCWs. A cross-sectional study was conducted among 150 HWCs in Kota Kinabalu, Sabah, Malaysia. An online survey was administered using the Copenhagen Burnout Inventory, Multidimensional Scale of Perceived Social Support, Brief COPE, and Fear of COVID-19 scales. Pearson correlations were assessed amongst all variables. Subsequently, a multiple linear regression analysis was per formed using burnout dimensions as dependent variables. Multiple linear regression results showed: (a) lower work-related burnout (β = −0.217, p < 0.01) among married HCWs; (b) higher personal related burnout (β = 0.228, p < 0.01), work-related burnout (β = 0.425, p < 0.01), and client-related burnout (β = 0.359, p < 0.01) among doctors; (c) fear towards COVID-19 was significantly associated with client-related burnout (β = 0.243, p < 0.01); (d) an avoidant coping strategy was significantly associated with personal-related burnout (β = 0.322, p < 0.01); (e) social support from family was significantly associated with personal-related burnout (β = −0.264, p < 0.01), work-related burnout (β = −0.186, p < 0.05), and client-related burnout (β = −0.326, p < 0.01); (f) and social support from friends was significantly associated with work-related burnout (β = −0.202, p < 0.05). This study demonstrated significant theoretical contributions and clinical implications in the healthcare system in Sabah by addressing the impact of various factors on burnout among HWCs.
... The inventory consists of a 19-item survey, evaluating three sub-dimensions of burnout. (Kristensen, 2005;Molinero Ruiz, Basart Gomez-Quintero, & Moncada Lluis, 2013). These three subscales assess for personal burnout, work-related burnout, and client-related burnout. ...
... To our knowledge, this is the first study where burnout has been examined among graduate students in health professional programs using the Copenhagen Burnout Inventory. The Inventory is unique from other burnout inventories in the sense that it has three different subscales, with one subscale that focuses on working with patients (Kristensen, 2005). The main limitation to utilizing the inventory is that it contains a work subscale, where most graduate students are typically unable to maintain outside employment while in graduate school. ...
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Objective: To measure the level of burnout among graduate students in health professional programs. A comparative analysis was used to explore differences in burnout scores among the participating programs. Methods: The Copenhagen Burnout Inventory (CBI) was distributed to students at two Universities with a focus on health professional educations. We assessed for demographics such as gender differences, and added an additional scale aimed at measuring school-related burnout. Results: Burnout and program dissatisfaction were positively correlated. Students in their third year reported the highest burnout scores, with the pharmacy program reporting the highest scores of burnout across all the programs participating. Women reported higher levels of personal burnout, whereas men reported higher levels of client related burnout. Conclusion: Burnout is prevalent among graduate students in health profession programs during the course of their education; interestingly, this appears to be more impactful among pharmacy students. Implications and suggestions for mitigating this impact are discussed.
... Studies on New Zealand psychiatrists throughout the mid-2000s documented concerns with levels of burnout and prefaced issues with growing patient demand, reduced administrative support and burgeoning administrative protocols [9,10]. In 2015 psychiatrists working in the public health system were found to have the second highest rate of patient-related burnout as defined by the Copenhagen Burnout Inventory (CBI) [11] in a nationwide study [12]. In a follow-up study in 2020, New Zealand psychiatrists were found to have rates above the burnout survey average, but no significant changes to their occupational rate of burnout when compared to the 2015 study [13]. ...
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Background Demand for mental health services in New Zealand and internationally is growing. Little is known about how psychiatrists are faring in this environment. This study aimed to investigate wellbeing of psychiatrists working in the public health system in New Zealand, identify the main risk factors for work-related stress, gauge perceptions of how workload has changed over time, assess job satisfaction and whether individuals intend or desire to leave their work. Methods Psychiatrists working in New Zealand who were also members of the Association of Salaried Medical Specialists were invited to participate in an online survey. Main outcome measures were degree of burnout and stress experienced at work. Supplementary measures included perceived workplace demands and levels of support. Predictor variables included perceptions of changes to workloads over time, degree of job satisfaction and intentions to leave work. Logistic regression assessed characteristics associated with burnout and job satisfaction as well as intentions to leave work. Free text comments were analysed thematically alongside quantitative trends. Results 368/526 responded (70% response rate). 34.6% met the criteria for burnout and 35.3% scored with high work stress. There were no significant patterns of association with demographic variables but significant correlation with all but one predictor variable; having experienced a change to the demands of the on-call workload. 45% agreed they would leave their current job if able and 87% disagreed that they are working in a well-resourced mental health service. Respondents emphasised the impact of growing workloads and expressed concerns about their ability to provide optimal care in these circumstances. Conclusions High burnout appears to affect one in three psychiatrists in New Zealand. Many attribute their feelings of burnout to demand for their services. These findings may assist with better workforce planning for psychiatry and emphasises potential consequences of demand for and poor resourcing of mental health services for the retention and wellbeing of doctors in psychiatry worldwide.
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Stress-related exhaustion symptoms have a high prevalence which is only likely to increase further in the near future. Understanding the physiological underpinnings of exhaustion has important implications for accurate diagnosis and the development of effective prevention and intervention programs. Given its integrative role in stress-regulation, the parasympathetic branch of the autonomic nervous systems has been a valid starting point in the exploration of the physiological mechanisms behind exhaustion. The aim of the present study was to examine the directionality and specificity of the association between exhaustion symptoms and vagally-mediated heart rate variability (vmHRV), a relatively pure measure of parasympathetic tone. Exhaustion symptoms and vmHRV were measured at four annually assessment waves (2015–2018) of the Dresden Burnout Study. A total sample of N = 378 participants who attended at least two of the four annual biomarker measurements were included in the present analyses. Cross-lagged multi-level panel modelling adjusting for various covariates (e.g., age, sex, BMI) revealed that vmHRV was meaningfully predictive of exhaustion symptoms and not vice versa. In addition, these effects were specific for exhaustion symptoms as no effect was shown for the other burnout sub-dimensions, or for depressive symptoms. Our findings indicate a clear link between exhaustion symptoms and vmHRV which may hold great potential for both enhancing the diagnosis and treatment of exhaustion symptoms.
Pain is experienced by 77.8% and 53.8% of surgeons performing Traditional Laparoscopic Surgery (TLS) and Robot-Assisted Laparoscopic Surgery (RALS), respectively. Contributing factors include equipment design issues and lacking ergonomic knowledge among surgeons. This study investigated the burnout and discomfort experienced by laparoscopic surgeons. A survey composed of the Nordic Musculoskeletal Questionnaire (NMQ) and the Copenhagen Burnout Inventory (CBI) was distributed via social media groups of laparoscopic surgeons between October 2020 and January 2021. Results were analyzed in Microsoft Excel and RStudio. In total, 164 responses were provided by surgeons practicing TLS, 48 of whom also practiced RALS. Intraoperative pain was experienced by 91.5% and 75% of TLS and RALS surgeons, respectively. The main sites of complaint were the neck for RALS (35.4%) and the shoulders for TLS (64.6%). Average burnout scores from the CBI were between 25.8 and 36.5 out of 100 for the three dimensions of burnout. Surgeons practicing both RALS and TLS experienced discomfort at more anatomic sites in total and greater work-related burnout than those who only practiced TLS. In this study, RALS was associated with a lower prevalence of pain than TLS for all anatomic sites, although physical complaints were alarmingly common for both modalities. On average, respondents were experiencing low levels of burnout. The neck symptoms, increased multisite discomfort, and higher work-related burnout among RALS surgeons suggest the need to investigate console design and cumulative workload experienced by RALS surgeons across modalities.
This study is a comprehensive, cross-sectional survey in occupational burnout, career satisfaction, and quality of life conducted in March 2021 among dentists in the vast area of metropolitan Athens, Greece. Data were collected using a self-reported questionnaire based on the Copenhagen Questionnaire (CQ) for assessing work stress and the Maslach Burnout Inventory-Human Service Survey (MBI-HSS) for evaluating occupational burnout. Using the independent t-test, ANOVA, Pearson’s correlation, and multiple linear regression, 804 valid questionnaires were analyzed. During the pandemic, personal exhaustion was affected by gender (b = 1.862, p = 0.0001), age (b = −0.598, p = 0.0001), number of children (b = −0.886, p = 0.020) and higher degree (b = −0.450, p = 0.012). Exhaustion due to working with patients was affected by gender (b = 0.662 p = 0.0001), age (b = −0.513, p = 0.0001), number of children (b = −0.701, p = 0.0001), higher degree (b = −0.207, p = 0.028) and years in practice (b = 0.408 p = 0.0001). Males were more prone to unhappiness, dissatisfaction, and professional physical and emotional exhaustion, but personal resources through higher education, beliefs, values, and hobbies can offer a preventive shield to all dental professionals. Economic management issues can also enhance dentists’ satisfaction and feeling of safety in a rapidly changing environment.
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The coronavirus disease 2019 (COVID-19) pandemic is probably the most critical epidemiological situation that human civilization has faced in the last few decades. In this context, of all the professional categories involved in the management of patients with COVID-19 are the most likely to develop burnout syndrome. The main objective of this study is to analyze specific predictive factors of the occurrence and development of the burnout syndrome in the healthcare workers involved in the diagnosis and treatment of patients with COVID-19. The study focused on determining factors of the occurrence, development and maintaining the specific burnout syndrome related to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic infection. The study was conducted on a sample of 959 participants, medical personnel from all the public medical entities in Romania(including 5 hospitals): 122 male and 755 female (82 participants did not declare their gender), with a mean age of 42.29 years (SD = 9.97). The sample included 219 doctors, 477 nurses, 214 auxiliary medical personnel and 49 other types of hospital workers. A cross-sectional design was used. Three predictors of the burnout syndrome were identified: Work conditions, Fear of the consequences (including death) determined by the COVID-19 and Need for emotional support. Meaning of work had a moderating role. Several moderated mediation models were tested. The indirect relationship of Work conditions with burnout via Fear of infection was statistically significant; in addition, the indirect effect of Work conditions on burnout through both fear of infection and need for support was statistically significant. The moderation analysis showed that Meaning of work buffer the relationship between Work conditions and Fear of infection. The variance explained by the model including the moderator (30%) was higher than the variance explained by Model 1 (27%), showing that adding the moderating effect of Meaning of work to the relationship of Work conditions with burnout was relevant. The results could be used to design specific interventions to reduce the occurrence of the burnout syndrome in healthcare workers, the implementation of a strategy to motivate employees by highlighting and recognizing the high significance of the work of those in the frontline of the fight against COVID-19.
Background The education sector has been heavily impacted by COVID-19. While the impact on school-aged children has received much attention, less attention has focused on the experiences of educators. Aims To compare various dimensions of the psychosocial work environment and health outcomes between educators engaged in online learning to those engaged in in-person learning in the Canadian province of Ontario. Methods Responses from 5438 educators engaged in either online or in-person learning were collected between 23 November and 21 December 2020; three months after the start of the 2020/21 academic year in September 2020. Psychosocial outcomes included quantitative demands, work pace, predictability, role conflicts, and social support from supervisors and co-workers; assessed using an abbreviated version of the Copenhagen Psychosocial Questionnaire. Secondary outcomes included burnout and sleep troubles. Ordinary Least-Squares regression models examined adjusted mean differences in the levels of outcomes for respondents in in-person versus online learning, after adjustment for a variety of covariates. Results Compared to respondents engaged in in-person learning, respondents engaged in online learning reported less predictability, higher role conflicts and less support from supervisors and co-workers. Statistically significant differences in work pace, burnout and sleep troubles were also observed across learning modes, although these differences did not exceed previously suggested thresholds for minimum important differences. Conclusions Important differences in the psychosocial work environment were observed between respondents engaged in in-person learning versus online learning. Addressing these differences is required, given the potential continued importance of online learning within the context of the COVID-19 pandemic and beyond.
Conference Paper
Recent scientific findings as well as situation with big share of remote work in different fields have rised the importance of the burnout gained attention in academic studies world-wide. Many researchers studied different aspects of burnout and came with different important findings. Aim of this study is to investigate main aspects for burnout of the teaching staff of higher education institutions and compare results in different countries. Research methods: scientific publications analysis and survey of teaching staff on aspects related to burnout in higher education. Research results show data related in general on satisfaction of the workplace of the teaching staff, as well several aspects dominating in work organization.
Burnout is an occupational phenomenon resulting from chronic workplace stress. This article, the first in a two‐part series on the topic, discusses how to distinguish burnout from other conditions, the stages involved and the consequences of burnout. The second article, to be published in a subsequent issue, will highlight the risk factors that point towards the syndrome and how to assess, prevent and address the condition.
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The authors report results from a study of stress and burnout in dentists in which a new measure of burnout, the Copenhagen Burnout Inventory (CBI), was compared with the well-established Maslach Burnout Inventory (MBI; C. Maslach & S. E. Jackson, 1981). The results suggest that the CBI possesses excellent psychometric properties and seems to be an appropriate measure of burnout in populations of health professionals. By comparison, difficulties were encountered in demonstrating the assumed nexus between the 3 (subscale) components of the MBI. These results call into question a long-held definition of burnout that appears to have been widely accepted. (PsycINFO Database Record (c) 2012 APA, all rights reserved)
Technical Report
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This third version of the MBI was developed across several occupations and countries, in order to assess burnout in all occupations. It was originally published in 1996 by CPP, but is now published and distributed online by Mind Garden (
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This research examines the construct validity of Schaufeli, Leiter, Maslach, and Jackson's (1996) general burnout measure, the Maslach Burnout Inventory-General Survey (MBI-GS). Whereas burnout is traditionally defined and measured in terms of a phenomenon occurring among workers who work with people, the MBI-GS is intended for use outside the human services. The authors first address the internal validity of the MBI-GS using data from two Dutch samples (179 software engineers and 284 university staff members). Confirmatory factor analysis revealed that the distinction among the three subscales of the MBI-GS was retained. To examine external validity, these subscales were then related to selected work characteristics. Based on conservation of resources theory, differential patterns of effects were predicted among the correlates and the three burnout subscales. Expectations were largely supported, suggesting that the meaning of the three subscales is quite different. These results largely replicate findings obtained in similar studies on the validity of the contactual version of the MBI.
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Burnout is a common metaphor for a state of extreme psychophysical exhaustion, usually work-related. This book provides an overview of the burnout syndrome from its earliest recorded occurrences to current empirical studies. It reviews perceptions that burnout is particularly prevalent among certain professional groups - police officers, social workers, teachers, financial traders - and introduces individual inter- personal, workload, occupational, organizational, social and cultural factors. Burnout deals with occurrence, measurement, assessment as well as intervention and treatment programmes.; This textbook should prove useful to occupational and organizational health and safety researchers and practitioners around the world. It should also be a valuable resource for human resources professional and related management professionals.
As health psychologists one of our primary goals is to understand the determinants of health-related behavior. Topics such as preventive health behavior, help seeking and the use of medical services, and compliance with medical recommendations occupy center stage in health psychology (Leventhal, 1983; Matarazzo, Weiss, Herd, Miller, & Weiss 1984; Stone, Cohen, & Adler, 1979). In each of these areas we seek to understand individuals’ responses to actual or perceived health threats. Further, we are concerned with developing interventions to promote desirable health-related behavior. In this chapter these issues are addressed through examination of cognitive representations of physical illness and the implications of these representations for specific health-related behaviors.